SlideShare a Scribd company logo
1 of 11
NATIONAL FORUM OF MULTICULTURAL ISSUES JOURNAL
VOLUME 6, NUMBER 1, 2009
Condom Use Knowledge and Condom Use among African-
American Women: Evidence from a Cross-Sectional Study in
Harris County, Texas
Angela Branch-Vital, PhD
Assistant Professor
Department of Health
Whitlowe R. Green College of education
Prairie View A&M University
Prairie View, TX
Maria Fernandez, PhD
Micheal Ross, PhD, MPH, DrMedSc
Wenyaw Chan, PhD
Professors
School of Public Health
University of Texas Health Science Center
Harris County, TX
Willie Smith, MED
Instructor
University of Louisville
Louisville, KY
_______________________________________________________________________
ABSTRACT
The aim of this study was to determine the association between self-reported
condom use knowledge and condom use at last intercourse among African-
American women (≥ 18 years of age) in Harris County, Texas. The Condom Use
Assessment Questionnaire was administered to 297 African-American women in
Harris County, Texas, from August-November 2007. Chi-square and T-test statistics
were conducted to assess the difference between condom users and non condom
users. It was determined that there was no significant difference between condom
use knowledge and condom use (p=0.27). Based on the findings of this study, it is
important to further understand other risk factors (i.e. substance abuse, lack of
awareness of HIV serostatus, sexually transmitted diseases, socioeconomic issues
and homophobia and concealment of homosexual behavior) that influence condom
use in the African-American community in order to design effective interventions to
promote safer sex, and thereby, reduce the rate of HIV in this group.
_______________________________________________________________________
_
Introduction
Human Immunodeficiency Virus (HIV) infection continues to disproportionately
affect African-American communities. An estimated 1.7 million people in the United
States have been diagnosed with HIV, with approximately 40,000 new infections
occurring each year (CDC, 2007). While African-Americans represented only 13% of the
population in the United States in 2005, they represented 54% of the United States HIV
cases (CDC, 2008). In 2005, 23,472 adults lived with HIV in Texas (Texas Department
of State Health Services (TDHS, 2007). In Texas, African-Americans shared a greater
burden of HIV than members of any other racial/ethnic groups. While African-Americans
comprised only 11.7% of the population in Texas in 2008, they represented 41% of Texas
HIV cases. African-American females accounted for 60% of HIV cases in Texas (TDHS,
2007).
In 2008, Harris County, one of the largest counties in Texas, had a population of
approximately 3,984, 349 with Houston as its urban center (U.S. Census Bureau, 2007).
Between January 1999 and September 2006, there were approximately 13,382
persons living with HIV in Harris County (Houston Department of Health and Human
Services [HDHHS], 2008). The majority of these HIV cases were among African-
Americans (54%), followed by Caucasians (25%), Hispanics (20%) and others (1%).
Among the female cases, the majority were African-Americans (74% of the female HIV
cases in Harris County) in the 20-29 age groups (36%). The primary mode of
transmission among African-American females was unprotected heterosexual contact
(HDHHS, 2008).
Several studies have examined whether condom use knowledge and condom use
is an important predictor of condom use. For example, Lazarus, Himedan, Ostergaard &
Liljiatand (2006) explored knowledge with regards to HIV/AIDS and condom use among
192 Somali and Sudanese men and women immigrants in Denmark, aged 18-49, who
lived in Denmark for one or more years. The participants completed a 78-item
questionnaire. It was reported that less than 50% of both men and women scored more
than 70% on the knowledge portion of the questionnaire. It was concluded that in the
two Danish immigrant groups, condom use knowledge level and condom use were low.
Women with poor educational level were reported to have low knowledge of condom use
and low use of condoms compared to those women with a higher educational level
(Lazarus, Himedan, Ostergaard & Liljiatand, 2006). Another study conducted by
Holmes, Ogungbade, Ward, Ross, Ekong & Essien (2008) that focused on baseline data
from the Situationally Focused Individual HIV/AIDS intervention to promote HIV
protective behavior among 2,213 Nigerian Military Personnel were analyzed. Using
composite score of the six steps for the knowledge of condom use and modeling as the
outcome variable, they examined educational status as a predictor variable, modeling
with unconditional univariable and multivariable logistic regression. This study reported
low knowledge of condom use and modeling among the Nigerian military personnel; as
well as a direct correlation between education attainment and knowledge of condom use
and modeling (Holmes, Ogungbade, Ward, Ross, Ekong & Essien, 2008).
In this study, results are presented from a self-administered questionnaire that
targets a large sample of African-American women and assesses self-reported condom
use. Our objective in this study was to determine if there was an association between
condom use knowledge and self-reported condom use based on age, educational level,
marital status and religious affiliation among African-American women (≥ 18 years of
age) in Harris County, Texas. Promoting condom use has been a major goal of programs
designed to prevent HIV infection (CDC, 2008). Recent studies have provided a great
deal of information regarding condom use, but nearly all of these studies have been
limited. They were restricted to a narrow age range or they had relatively small samples.
Methods
Participants
A convenience sample of 342 eligible women were asked to participate in the
study; 45 eligible women declined to participant in the study due to time constraints.
Two hundred and ninety-seven African-American women (≥ 18 years of age) in Harris
County, Texas participated in the study. Participants were recruited from a community
center and a local health fair in Harris County, Texas from August-November 2007.
These sites were selected based on the availability of the population; the time frame in
which the study was conducted; and the large numbers of African-American women
participating and or involved in the public congregations (churches, civic clubs, social
clubs, community centers, health fairs and job fairs) in Harris County, Texas.
Eligibility was based on whether the women were: 1) African-American; 2) 18
years of age or older; 3) residents of Harris County; and 4) able to understand and
complete the questionnaire in English.
Recruitment Procedures
All procedures and the questionnaire were reviewed and approved by the
Committee for the Protection of Human Subjects (CPHS), the Institutional Review Board
(IRB) for the University of Texas Health Science Center at Houston (UTHSC-H).
Recruitment commenced in August 2007 and concluded in November 2007. Letters
summarizing the purpose of the study were mailed to the directors of the James Prince
Community Center and Sharpstown Health Fair for dissemination to members and guests.
The letters sought permission for the study to be conducted at those locations. Once
permission was granted, the directors of the community center and health fair scheduled
appointments for the researchers to be introduced to the target population. The directors
of the community center and health fair described the study to the target population and
introduced the researchers. The researchers explained the purpose, the risks and benefits
of the study. Participants were advised that they could refuse to answer any questions
and participation would be both voluntary and anonymous. All participants signed a
consent form and were given the questionnaire. The participants were instructed to
deposit the completed questionnaire in a sealed box located by the exit doors of the
community center and the health fair. Completion of the questionnaire took
approximately thirty-five minutes.
Measurements
Condom Use. Condom use was measured with one variable, condom use at last
intercourse with any sexual partner (Norris Phillips, Statton, Pearson, 2005; Williams,
Bowen, Timpson, McCoy, Perkins et al, 2001). The question was as follow: “Was a
condom used the last time you had sexual intercourse?” (Yes/No). This measure was
chosen because it requires relatively one question and is easier to answer accurately as
compared to other measures that include questions that require respondents to estimate
their frequency of condom use during some specified time interval (Prata, Morris,
Mazive, Vahidnia & Stehr, 2006). Another study conducted by Meekers & Rossem
(2005) also used a similar condom use question.
Condom Use Knowledge. Knowledge of how to use condoms with the Condom
Use Knowledge Scale was measured with 17 items with a Cronbach α = 0.73 (Lindberg,
1993). The original Condom Use Knowledge Scale consisted of 19 multiple-choice items
with internal consistency (Cronbach α = 0.66). In this study, we revised the scale by
removing two questions based on feedback from the focus group and two behavioral HIV
experts. Each question had four possible answers. The correct answer was worth one
point and an incorrect answer received no points. Test scores could range from zero
(lowest) to 17 (highest). The number of correct answers was summed (range: 0–17), with
17 being the maximum (highest) knowledge of condom use score.
Demographics. We used seven variables to categorize participants’ age, gender,
racial/ethnic background, educational level, marital status, location and religious
affiliation.
Analysis
Frequency analyses were conducted on the outcome variable (condom use) and on
all categorical demographic variables. Means, standard deviations, and ranges for all
continuous demographic variables and condom-use knowledge scores were calculated.
Two-sample t-test and chi square statistics were used to assess the difference in the mean
scores in condom use knowledge among participants who used condoms and participants
who do not use condoms. All tests were considered to be statistically significant if
p<0.05. All analyses were performed by STATA statistical software package (version 9).
Results
Descriptive Analyses
Table 1 provides an overview of the demographic characteristics of the
participants in this study. The participants in the study were diverse in age, educational
level, religious affiliation and marital status. Majority of the participants in the study
were between the ages of 18-29 years and had a post-high school education. Also, the
majority of the participants self-reported as being single (65%) and declared themselves
to be affiliated with the Protestant (Baptist) faith (55%).
Table 1. Demographic characteristics of participants
Variables N=297
Educational Level
Did not complete high school 55(19%)
Completed high school/G.E.D. 63(21%)
Attended college but not completed / completed associate college degree 115(39%)
Completed college / attended or completed graduate school
64(21%)
Age Group
18-29 130(44%)
30-39 63(22%)
40+ 104(34%)
Marital status
Single 194(65%)
Married 71(24%)
Divorced/Widowed 31(11%)
Religious affiliation
Baptist 163(55%)
Methodist 20(7%)
Catholic 63(21%)
Other 43(14%)
None 8(3%)
Abbreviation:
%= percentage
Table 2 depicts the demographics of self-reported condom use at last intercourse.
Forty-three percent (43%) of women reported condom use at last intercourse.
Participants who self-reported condom use during their last sexual intercourse were more
likely to be single, have a Baptist affiliation, and have had some college-level education.
All demographic characteristics were statistically associated with condom use knowledge
(p<0.001).
Table 2. Demographics of self-reported condom use across condom use knowledge score
(N=276)
Condom use TP
n=119 (43%)
Non-condom use TP
n=157(57%)
P-value
Educational level
< high school 33(28%) 16(10%) <.0001
Completed H.S./G.E.D. 24 (20%) 35(22%)
Some college / completed
associate college degree
38(32% ) 71(45%)
Completed college or higher 24(20%) 35(22% )
Age Group
18-29 69(58% ) 53(34%) <.0001
30-39 18(15%) 41(26%)
40+ 32(27% ) 63(40%)
Marital status
Single 87(73%) 91(58%) <.0001
Married 15(13%) 56(36% )
Divorced/Widowed 16(13%) 10(6%)
Religious affiliation
Baptist 69(58%) 84(54%) <.0001
Methodist 3(3%) 17(11%)
Catholic 20(17%) 41(26%)
Other 24(20%) 11(7%)
None 3(3%) 4(3%)
Abbreviations:
TP= Total Population
%=Percentage
H.S= high school
Condom Use Knowledge and Condom Use. From the results of the two-sample t-
test, the mean Condom Use Knowledge score for participants who used condoms was
10.5 (SD=2.97) and participants who did not use condoms were 10.1 (SD=3.84), there
was no significant differences in condom use knowledge between participants who used
condoms and participants who did not use condoms (p=0.27).
The majority of the women in the sample knew that K-Y jelly or other water-
soluble lubricant was safe to use to lubricate a condom. In addition, non-condom users
answered more questions correct as compared to condom users. Regardless of condom
use, few women demonstrated an understanding of methods and techniques used to
enhance sexual pleasure for their partner while using a condom or the proper actions to
take if the condom breaks during sexual intercourse.
Chi-square statistic was performed on each item of the Condom Use Knowledge
Scale to distinguish condom users and non-condom users. It was determined that nearly
half of the items (items # 1, 3, 4, 8, 10, 14, 15 and 17) were able to distinguish condom
users and non-condom users when assessed independently. A detailed overview is
provided in Table 3.
Table 3.Percentage of participants correct responses -Condom Use Knowledge (N=275)
Condom Use
n=118
Non-
condom use
n=157
Questions Count Count X2
P
1 .When is the correct time to put a condom on your
partner?
94 (47%) 108 (53%) 4.08
p=0.04
2. What is the correct way to apply a condom? 76 (41%) 111 (59%) 1.22
p= 0.27
3. What is safe to use to lubricate (wet) a condom? 102 (46%) 119 (54%) 4.84
p= 0.03
4. Which should you do to decrease the chance of a condom
breaking?
92 (47%) 104 (53%) 4.52
p= 0.03
5. What is the best type of condom to use for protection
from HIV/AIDS and other Sexually Transmitted
Diseases/Venereal Diseases (STDS/VDS)?
84(42%) 117 (58%) 0.61
p= 0.44
6. Which of the following is important to do when putting
on a condom?
72(47%) 82 (53%) 1.86
p=0.17
7. When using condoms, what is important to do after
giving a man oral sex but before having vaginal sex?
77(40%) 114 (60%) 2.42
p= 0.12
8. What is important to do if a man loses his erection (get
soft) during intercourse?
87(48%) 94 (52%) 5.32
p= 0.02
9. What will enhance sexual pleasure for the man while
using a condom?
34(49%) 36 (51%) 1.12
p= 0.29
10. What should you do to make sure the condom is
protecting you before the man ejaculates (comes/cum)?
76 (48%) 81 (52%) 4.54
p=0.03
11. What is important to do after the man comes/cum
(ejaculates)?
74 (42%) 101 (58%) 0.16
p=0.69
12. When are condoms most likely to come off the penis
during sex?
55 (39%) 87 (61%) 3.34
p=0.19
13. What is not true about buying, using and storing
condoms?
75 (42%) 102 (58%) 0.13
0.72
14. What is a reason for using a lubricant with a condom? 92 (48%) 100 (52%) 6.04
p=0.01
15. To protect you against HIV/AIDS, what is the best thing
to do if the condom breaks?
28 (34%) 55 (66%) 4.34
p=0.04
16. How do you dispose of condoms? 45 (40%) 68 (60%) 0.16
p=0.69
17. What should you do if you attempt to put a condom on
backwards or inside out?
96 (48%) 103 (52%) 7.84
p= 0.05
Discussion
The aim of this study was to evaluate the association between condom use
knowledge and condom use behavior. Our study contrasts with the studies of several
researchers (Holmes, Ogungbade, Ward, Ross, Ekong & Essien, 2008; Lazarus,
Himedan, Ostergaard & Liljiatand, 2006; Weller & Davis, 2002), who reported a
significant association, but corroborates with other studies of researchers (Rock, Resnickl
& McNeely, 2005; Zellner, 2003), who have reported no significant association between
condom use knowledge and condom use.
Level of condom use in this study was consistent with previous studies with
African-Americans, which reflected low rates of condom use (Holmes, Ogungbade,
Ward, Ross, Ekong & Essien, 2008; Prata, Morris, Mazine, Valideria, & Stehr, 2006).
Specifically, this study documented 43% of the women who reported condom use at last
intercourse. The researchers in this study reported lower use of condoms among
divorced /widowed and married women. Given the disproportionate cases of HIV
among African-American women in Houston, Harris County, it is important to promote
consistent and correct condom use for both steady and casual sexual partners.
However, asking your sexual partner(s) to use a condom during sexual intercourse may
signal mistrust to the partner (Prata, Morris, Mazine, Valideria, & Stehr, 2006).
Addressing this issue requires condom use knowledge education, counseling, and skill-
based interventions to encourage condom use for those engaging in risky sexual
behaviors.
In addition, this study has used an array of questions to measure knowledge of
condoms, from participants general knowledge about condoms to their general
understanding of condoms use (e.g., when is the correct time to put a condom on your
partner, what is the correct way to apply a condom, what is safe to use to lubricate (wet) a
condom, what is important to do if a man loses his erection (get soft) during intercourse )
Our study, which modified Lindberg’s (1993) condom use knowledge survey is
generalizable to African-American women in Houston, Harris County aged 18 and older.
This study contributes to the literature on condom use and prevention of HIV by
examining the participants’ condom use knowledge level and their condom use.
The Condom Use Knowledge Scale was not able to distinguish condom users and
non-condom users, however when each item on The Condom Knowledge Scale was
assessed individually, nearly half of the items (8) were able to distinguish condom users
and non-condom users. It is possible that a scale could be created with the 8 items that
distinguished condom users and non-condom users. Developing the 8 items on the
Condom Use Knowledge Scale enables researchers to increase condom use by teaching
specifically about the 8 items with distinguished condom users and non-condom users.
Research demonstrates that by merely telling people to use condoms to prevent
the spread of HIV is not enough to change their behavior (CDC, 2007). Condom use is a
dyadic behavior: it involves two people and an agreement to use a condom. Thus,
looking at just one of the two partners and their characteristics is only half of the condom
use equation. Since the condom is worn by the male, it is likely that it is characteristic of
the male, rather than the female, are crucial ones to study in regard to condom use
There were a few limitations to the study. First, a temporal sequence of cause and
effect relationship between the independent and outcome variables could not be
established due to the use of a cross-sectional study design. The study collected data from
two geographic locations, which may limit the ability to generalize the study results.
However, this study selected sites that increased the likelihood of potential participants
being representative of various locations within Houston, Harris County, Texas by
selecting a community center and a health fair on days where outreach activities involved
inputs from all communities. In addition, we obtained the data for this study based on
participants self-reported condom use and condom use knowledge. Second, the use of a
non-probability (convenience) sample might have introduced the potential for selection
bias, limiting our ability to generalize to other settings, times and populations. A third
limitation was that the data for this study was obtained through a self-reported
questionnaire, which could lead to potential information bias. However, it was
established that self-reported condom use was the only way to determine condom use
(Geary, 2003). Fourth, having participants recall their last sexual intercourse and condom
use could lead to recall bias. However, assessing condom use at last intercourse requires
relatively few questions that are easier to answer accurately compared to other measures
that requires respondents to estimate their frequency of condom use during a specified
interval (Anderson, Rietmeijer & Wilson, 1998). Finally, another form of information
bias that could occur was prevarication (lying) bias, which occurs when participants have
ulterior motives for answering a question. If the collected information did not reflect the
participants’ true behavior, the study results would be inaccurate and invalid. To prevent
this type of bias, the questionnaire was self-administered and the researchers assured
participants that their responses would remain confidential.
Concluding Remarks
It is especially important to understand the factors that influence condom use in
the African-American community in order to design effective interventions to promote
safer sex and, as a result, reduce the rate of HIV within this group. Our findings
suggested that the participants’ condom use could depend on the participants’
demographic characteristics. Several studies (Lazarus, Himedan, Ostergaard &
Liljiatand, 2006; Prata, Morris, Mazine, Valideria, Stehr, 2006) have reported similar
results indicating that condom use could be related to participants’ educational level.
Although we have assessed demographic characteristics in this study, we did not examine
other factors, including substance abuse, lack of awareness of HIV serostatus, sexually
transmitted diseases, socioeconomic issues and homophobia and concealment of
homosexual behavior. These factors have been identified by CDC (2008) as risk
behaviors but previous studies have focused separately on these factors among African-
Americans and their condom use. There has not been a comprehensive study
addressing risk behaviors in the African-American community. Continued measurements
of condom use behaviors are needed in the African-American communities to increase
condom use in this community. Secondly, more research is needed to educate both men
and women regarding the risks and consequences of contracting HIV and other STDs
with non condom use. Finally, greater efforts must be made to target programs toward
African-Americans, both males and females.
References
Anderson, J.E., Rietmeijer, C., & Wilson, R.W. (1998). Asking about condom use: Is
there a standard approach that should be adopted across surveys? American
Journal of Public Health, 93(6), 912-914.
Department of Health and Human Services Centers of Disease Control and Prevention
(2007). HIV/AIDS and African-Americans (2007-2008 ed.). Atlanta, Georgia:
U.S. Government Printing Office.
Department of Health and Human Services Centers of Disease Control and Prevention
(2007). Fact sheet HIV/AIDS and African-Americans (2008 ed.). Atlanta,
Georgia: U.S. Government Printing Office.
Harris County Department of Health and Human Services (2006). HIV epidemiology
report in Harris County health. Houston, Texas: U.S. Government Printing
Office.
Holmes, L., Ogungbade, G., Ward, D., Ross, M., Ekong, E., & Essien, E.J. (2008).
Epidemiologic and behavioral characterization of knowledge of condom use and
modeling among military personnel. African Journal of Reproductive Health,
12(2), 32–44.
Houston Department of Health and Human Services [HDHHS] (2008). Integrated
epidemiological profile for HIV/AIDS prevention & care planning. Houston,
TX: U.S. Government Printing Office.
Lazarus, J.V., Himedan, H., Ostergaard, L.R., & Liljestrand, J. (2006). HIV/AIDS
knowledge. Scandinavian Journal of Public Health, 34(1), 92-99.
Lindberg, C. (1993). Condom use knowledge scale. Family Planning Perspectives,
29(4) 128-131, 140.
Lingberg, C. (2000). Knowledge, self-efficacy, coping and condom use among urban
women. Journal of the Association of Nurses in AIDS Care, 11(5), 80-90.
Meekers, D., & Van Rossem, R. (2005). Explaining inconsistencies between data on
condom use and condom use sales. BioMed Central Health Service Research
5(5), 1-14.
Norris, D., Phillips, R., Statton, M., & Pearson, T. (2005). Condom use by male,
enlisted, deployed navy personnel with multiple partners. Military Medicine,
170(10), 898-904.
Prata, N. Morris, L., Mazine, E., Valideria, F, & Stehr, M. (2006). Relationship between
HIV perception & condom use: Evidence from a population based survey in
Mozarbique. Internal Family Perspective, 32(4), 56-63.
Rock, E.M., Ireland, M., Resniek, M.D., & McNeely, C.A. (2005). A rose by any other
name? Objective knowledge, perceived knowledge, and adolescent male condom
use. Pediatrics, 115(3), 667-672.
Texas Department of State Health Services Texas Department (2007). Texas HIV/STI
surveillance report, Department of State Health Services (2005-2007 ed.). Austin,
TX: U.S. Government Printing Office.
Texas Department of State Health Services Texas Department (2009). Texas HIV/STI
surveillance report, Department of State Health Services. Austin, TX: U.S.
Government Printing Office.
U.S. Census (2007). Harris County quick facts for the U.S. Census Bureau.
Washington, DC: U.S. Government Printing.
Weller, S., & Davis, K. (2002). Condom effectiveness in reducing heterosexual HIV
transmission. Cochrane Database Systematic Review, (1), CD003255, 1-22.
Williams M., Ross M. W., Bowen, A. M., Timpson S., McCoy, H. V., Perkins, K.,
Saunders, L., & Young, P. (2001). An investigation of condom use by frequency
of sex. Sexually Transmitted Infections, 77(6), 433-5.
Zellner, S. (2003). Condom use and the accuracy of AIDS knowledge, condom use and
the accuracy of AIDS knowledge, condom use. International Family Planning
Perspectives, 29(1), 41-47.

More Related Content

What's hot

Awarenes of aids amongst hs students in bonaire with amended list of authors
Awarenes of aids amongst hs students in bonaire with amended list of authorsAwarenes of aids amongst hs students in bonaire with amended list of authors
Awarenes of aids amongst hs students in bonaire with amended list of authorsAleksandar Dusic, MD, MSc
 
Patient Related Barriers Associated with Under Enrollment in Hospice: A Review
Patient Related Barriers Associated with Under Enrollment in Hospice: A ReviewPatient Related Barriers Associated with Under Enrollment in Hospice: A Review
Patient Related Barriers Associated with Under Enrollment in Hospice: A ReviewQUESTJOURNAL
 
Bridging the diversity gap in Clinical Trials
Bridging the diversity gap in Clinical TrialsBridging the diversity gap in Clinical Trials
Bridging the diversity gap in Clinical TrialsNassim Azzi, MBA
 
Briding the divide between genomic science and indigenous peoples
Briding the divide between genomic science and indigenous peoplesBriding the divide between genomic science and indigenous peoples
Briding the divide between genomic science and indigenous peoplesDr Lendy Spires
 
Attitudes, knowledge, and practices in relation to cervical
Attitudes, knowledge, and practices in relation to cervicalAttitudes, knowledge, and practices in relation to cervical
Attitudes, knowledge, and practices in relation to cervicalTariq Mohammed
 
Profile of Sexually transmitted infections (STIs) among students of tertiary ...
Profile of Sexually transmitted infections (STIs) among students of tertiary ...Profile of Sexually transmitted infections (STIs) among students of tertiary ...
Profile of Sexually transmitted infections (STIs) among students of tertiary ...iosrjce
 
Httpwww.ijsr.netarchivev3i3 md iwmtmxmtaz.pdf
Httpwww.ijsr.netarchivev3i3 md iwmtmxmtaz.pdfHttpwww.ijsr.netarchivev3i3 md iwmtmxmtaz.pdf
Httpwww.ijsr.netarchivev3i3 md iwmtmxmtaz.pdfmahadeoshinde
 
Challenges and coping strategies among couples of mixed hiv status presenting...
Challenges and coping strategies among couples of mixed hiv status presenting...Challenges and coping strategies among couples of mixed hiv status presenting...
Challenges and coping strategies among couples of mixed hiv status presenting...Alexander Decker
 
Racism as Experienced by Physicians of Color in the Health Care Setting
Racism as Experienced by Physicians of Color in the Health Care Setting Racism as Experienced by Physicians of Color in the Health Care Setting
Racism as Experienced by Physicians of Color in the Health Care Setting MiraMed: A Global Services Company
 
McMillan Worth The impact ofsocio-cultural context on young people's condom use
McMillan Worth The impact ofsocio-cultural context on young people's condom useMcMillan Worth The impact ofsocio-cultural context on young people's condom use
McMillan Worth The impact ofsocio-cultural context on young people's condom useKaren McMillan
 
Hepatitis C Risk Assessment, Testing and Referral for Treatment in primary Ca...
Hepatitis C Risk Assessment, Testing and Referral for Treatment in primary Ca...Hepatitis C Risk Assessment, Testing and Referral for Treatment in primary Ca...
Hepatitis C Risk Assessment, Testing and Referral for Treatment in primary Ca...Real Wellness, LLC
 
An Epidemiological Data of Oral Health Status and Treatment Needs in Pamulapa...
An Epidemiological Data of Oral Health Status and Treatment Needs in Pamulapa...An Epidemiological Data of Oral Health Status and Treatment Needs in Pamulapa...
An Epidemiological Data of Oral Health Status and Treatment Needs in Pamulapa...DrHeena tiwari
 
Cohort, case control & survival studies-2014
Cohort, case control & survival studies-2014Cohort, case control & survival studies-2014
Cohort, case control & survival studies-2014Ramnath Takiar
 
Childhood and later-onset vitiligo have diverse
Childhood  and later-onset vitiligo have diverseChildhood  and later-onset vitiligo have diverse
Childhood and later-onset vitiligo have diversetloanphan
 

What's hot (18)

Awarenes of aids amongst hs students in bonaire with amended list of authors
Awarenes of aids amongst hs students in bonaire with amended list of authorsAwarenes of aids amongst hs students in bonaire with amended list of authors
Awarenes of aids amongst hs students in bonaire with amended list of authors
 
Patient Related Barriers Associated with Under Enrollment in Hospice: A Review
Patient Related Barriers Associated with Under Enrollment in Hospice: A ReviewPatient Related Barriers Associated with Under Enrollment in Hospice: A Review
Patient Related Barriers Associated with Under Enrollment in Hospice: A Review
 
Bridging the diversity gap in Clinical Trials
Bridging the diversity gap in Clinical TrialsBridging the diversity gap in Clinical Trials
Bridging the diversity gap in Clinical Trials
 
Briding the divide between genomic science and indigenous peoples
Briding the divide between genomic science and indigenous peoplesBriding the divide between genomic science and indigenous peoples
Briding the divide between genomic science and indigenous peoples
 
Attitudes, knowledge, and practices in relation to cervical
Attitudes, knowledge, and practices in relation to cervicalAttitudes, knowledge, and practices in relation to cervical
Attitudes, knowledge, and practices in relation to cervical
 
Profile of Sexually transmitted infections (STIs) among students of tertiary ...
Profile of Sexually transmitted infections (STIs) among students of tertiary ...Profile of Sexually transmitted infections (STIs) among students of tertiary ...
Profile of Sexually transmitted infections (STIs) among students of tertiary ...
 
Httpwww.ijsr.netarchivev3i3 md iwmtmxmtaz.pdf
Httpwww.ijsr.netarchivev3i3 md iwmtmxmtaz.pdfHttpwww.ijsr.netarchivev3i3 md iwmtmxmtaz.pdf
Httpwww.ijsr.netarchivev3i3 md iwmtmxmtaz.pdf
 
Pilot article oct 2013
Pilot article oct 2013Pilot article oct 2013
Pilot article oct 2013
 
Challenges and coping strategies among couples of mixed hiv status presenting...
Challenges and coping strategies among couples of mixed hiv status presenting...Challenges and coping strategies among couples of mixed hiv status presenting...
Challenges and coping strategies among couples of mixed hiv status presenting...
 
Racism as Experienced by Physicians of Color in the Health Care Setting
Racism as Experienced by Physicians of Color in the Health Care Setting Racism as Experienced by Physicians of Color in the Health Care Setting
Racism as Experienced by Physicians of Color in the Health Care Setting
 
ICEC_FINAL
ICEC_FINALICEC_FINAL
ICEC_FINAL
 
McMillan Worth The impact ofsocio-cultural context on young people's condom use
McMillan Worth The impact ofsocio-cultural context on young people's condom useMcMillan Worth The impact ofsocio-cultural context on young people's condom use
McMillan Worth The impact ofsocio-cultural context on young people's condom use
 
Hepatitis C Risk Assessment, Testing and Referral for Treatment in primary Ca...
Hepatitis C Risk Assessment, Testing and Referral for Treatment in primary Ca...Hepatitis C Risk Assessment, Testing and Referral for Treatment in primary Ca...
Hepatitis C Risk Assessment, Testing and Referral for Treatment in primary Ca...
 
5
55
5
 
Dr Shekhar
Dr ShekharDr Shekhar
Dr Shekhar
 
An Epidemiological Data of Oral Health Status and Treatment Needs in Pamulapa...
An Epidemiological Data of Oral Health Status and Treatment Needs in Pamulapa...An Epidemiological Data of Oral Health Status and Treatment Needs in Pamulapa...
An Epidemiological Data of Oral Health Status and Treatment Needs in Pamulapa...
 
Cohort, case control & survival studies-2014
Cohort, case control & survival studies-2014Cohort, case control & survival studies-2014
Cohort, case control & survival studies-2014
 
Childhood and later-onset vitiligo have diverse
Childhood  and later-onset vitiligo have diverseChildhood  and later-onset vitiligo have diverse
Childhood and later-onset vitiligo have diverse
 

Similar to Branch vital-multicultural journal-done

The prevalence, patterns of usage and people's attitude towards complementary...
The prevalence, patterns of usage and people's attitude towards complementary...The prevalence, patterns of usage and people's attitude towards complementary...
The prevalence, patterns of usage and people's attitude towards complementary...home
 
social and ethical literature aspects of sex selectionreview
social and ethical literature aspects of sex selectionreviewsocial and ethical literature aspects of sex selectionreview
social and ethical literature aspects of sex selectionreviewMitu Khosla
 
HEALTH POLICY AND ETHICSFacilitating HIV DisclosureFac.docx
HEALTH POLICY AND ETHICSFacilitating HIV DisclosureFac.docxHEALTH POLICY AND ETHICSFacilitating HIV DisclosureFac.docx
HEALTH POLICY AND ETHICSFacilitating HIV DisclosureFac.docxpooleavelina
 
EDRD 6000: Ethics when working with LGBTQ+ Youth
EDRD 6000: Ethics when working with LGBTQ+ YouthEDRD 6000: Ethics when working with LGBTQ+ Youth
EDRD 6000: Ethics when working with LGBTQ+ YouthStephanie Gariscsak
 
Estimating HIV prevalence and risk behaviors of transgender persons in the Un...
Estimating HIV prevalence and risk behaviors of transgender persons in the Un...Estimating HIV prevalence and risk behaviors of transgender persons in the Un...
Estimating HIV prevalence and risk behaviors of transgender persons in the Un...Santé des trans
 
Gaps in Sexual Assault Health Care Among Homeless Young Adults.pdf
Gaps in Sexual Assault Health Care Among Homeless Young Adults.pdfGaps in Sexual Assault Health Care Among Homeless Young Adults.pdf
Gaps in Sexual Assault Health Care Among Homeless Young Adults.pdfsdfghj21
 
Gaps in Sexual Assault.pdf
Gaps in Sexual Assault.pdfGaps in Sexual Assault.pdf
Gaps in Sexual Assault.pdfsdfghj21
 
CLINICAL SCHOLARSHIPHealth Education Needs of Incarcerated.docx
CLINICAL SCHOLARSHIPHealth Education Needs of Incarcerated.docxCLINICAL SCHOLARSHIPHealth Education Needs of Incarcerated.docx
CLINICAL SCHOLARSHIPHealth Education Needs of Incarcerated.docxbartholomeocoombs
 
The Socioeconomic Consequences and Costs of Mental Illness
The Socioeconomic Consequences and Costs of Mental IllnessThe Socioeconomic Consequences and Costs of Mental Illness
The Socioeconomic Consequences and Costs of Mental IllnessMika Truly
 
Transgender Health : Findings From Two Needs Assessment Studies In Philadelphia
Transgender Health : Findings From Two Needs Assessment Studies In PhiladelphiaTransgender Health : Findings From Two Needs Assessment Studies In Philadelphia
Transgender Health : Findings From Two Needs Assessment Studies In PhiladelphiaSanté des trans
 
Spring_GHUCCTS_Newsletter_1st_edition
Spring_GHUCCTS_Newsletter_1st_editionSpring_GHUCCTS_Newsletter_1st_edition
Spring_GHUCCTS_Newsletter_1st_editionAlexander V. Libin
 
HIV Prevention And Health Service Needs Of The Transgender Community In San F...
HIV Prevention And Health Service Needs Of The Transgender Community In San F...HIV Prevention And Health Service Needs Of The Transgender Community In San F...
HIV Prevention And Health Service Needs Of The Transgender Community In San F...Santé des trans
 
An Epidemiologic Study of Gilles de la Tourette's Syndrome in Israel
An Epidemiologic Study of Gilles de la Tourette's Syndrome in IsraelAn Epidemiologic Study of Gilles de la Tourette's Syndrome in Israel
An Epidemiologic Study of Gilles de la Tourette's Syndrome in IsraelAlfred Cohen
 
EXPLORING U.S. MINORITY ATTITUDES TOWARDS CLINICAL TRIALS
EXPLORING U.S. MINORITY ATTITUDES TOWARDS CLINICAL TRIALSEXPLORING U.S. MINORITY ATTITUDES TOWARDS CLINICAL TRIALS
EXPLORING U.S. MINORITY ATTITUDES TOWARDS CLINICAL TRIALSCOUCH Health
 
Frew et al 2015 - Delivering a Dose of Hope
Frew et al 2015 - Delivering a Dose of HopeFrew et al 2015 - Delivering a Dose of Hope
Frew et al 2015 - Delivering a Dose of HopeLauren Owens, MPH
 

Similar to Branch vital-multicultural journal-done (20)

Jwh.2008.0886
Jwh.2008.0886Jwh.2008.0886
Jwh.2008.0886
 
The prevalence, patterns of usage and people's attitude towards complementary...
The prevalence, patterns of usage and people's attitude towards complementary...The prevalence, patterns of usage and people's attitude towards complementary...
The prevalence, patterns of usage and people's attitude towards complementary...
 
social and ethical literature aspects of sex selectionreview
social and ethical literature aspects of sex selectionreviewsocial and ethical literature aspects of sex selectionreview
social and ethical literature aspects of sex selectionreview
 
HEALTH POLICY AND ETHICSFacilitating HIV DisclosureFac.docx
HEALTH POLICY AND ETHICSFacilitating HIV DisclosureFac.docxHEALTH POLICY AND ETHICSFacilitating HIV DisclosureFac.docx
HEALTH POLICY AND ETHICSFacilitating HIV DisclosureFac.docx
 
EDRD 6000: Ethics when working with LGBTQ+ Youth
EDRD 6000: Ethics when working with LGBTQ+ YouthEDRD 6000: Ethics when working with LGBTQ+ Youth
EDRD 6000: Ethics when working with LGBTQ+ Youth
 
HIV
HIVHIV
HIV
 
Estimating HIV prevalence and risk behaviors of transgender persons in the Un...
Estimating HIV prevalence and risk behaviors of transgender persons in the Un...Estimating HIV prevalence and risk behaviors of transgender persons in the Un...
Estimating HIV prevalence and risk behaviors of transgender persons in the Un...
 
Gaps in Sexual Assault Health Care Among Homeless Young Adults.pdf
Gaps in Sexual Assault Health Care Among Homeless Young Adults.pdfGaps in Sexual Assault Health Care Among Homeless Young Adults.pdf
Gaps in Sexual Assault Health Care Among Homeless Young Adults.pdf
 
Gaps in Sexual Assault.pdf
Gaps in Sexual Assault.pdfGaps in Sexual Assault.pdf
Gaps in Sexual Assault.pdf
 
CLINICAL SCHOLARSHIPHealth Education Needs of Incarcerated.docx
CLINICAL SCHOLARSHIPHealth Education Needs of Incarcerated.docxCLINICAL SCHOLARSHIPHealth Education Needs of Incarcerated.docx
CLINICAL SCHOLARSHIPHealth Education Needs of Incarcerated.docx
 
The Socioeconomic Consequences and Costs of Mental Illness
The Socioeconomic Consequences and Costs of Mental IllnessThe Socioeconomic Consequences and Costs of Mental Illness
The Socioeconomic Consequences and Costs of Mental Illness
 
Transgender Health : Findings From Two Needs Assessment Studies In Philadelphia
Transgender Health : Findings From Two Needs Assessment Studies In PhiladelphiaTransgender Health : Findings From Two Needs Assessment Studies In Philadelphia
Transgender Health : Findings From Two Needs Assessment Studies In Philadelphia
 
Spring_GHUCCTS_Newsletter_1st_edition
Spring_GHUCCTS_Newsletter_1st_editionSpring_GHUCCTS_Newsletter_1st_edition
Spring_GHUCCTS_Newsletter_1st_edition
 
Transgender Epidemiology
Transgender EpidemiologyTransgender Epidemiology
Transgender Epidemiology
 
HIV Prevention And Health Service Needs Of The Transgender Community In San F...
HIV Prevention And Health Service Needs Of The Transgender Community In San F...HIV Prevention And Health Service Needs Of The Transgender Community In San F...
HIV Prevention And Health Service Needs Of The Transgender Community In San F...
 
An Epidemiologic Study of Gilles de la Tourette's Syndrome in Israel
An Epidemiologic Study of Gilles de la Tourette's Syndrome in IsraelAn Epidemiologic Study of Gilles de la Tourette's Syndrome in Israel
An Epidemiologic Study of Gilles de la Tourette's Syndrome in Israel
 
EXPLORING U.S. MINORITY ATTITUDES TOWARDS CLINICAL TRIALS
EXPLORING U.S. MINORITY ATTITUDES TOWARDS CLINICAL TRIALSEXPLORING U.S. MINORITY ATTITUDES TOWARDS CLINICAL TRIALS
EXPLORING U.S. MINORITY ATTITUDES TOWARDS CLINICAL TRIALS
 
Frew et al 2015 - Delivering a Dose of Hope
Frew et al 2015 - Delivering a Dose of HopeFrew et al 2015 - Delivering a Dose of Hope
Frew et al 2015 - Delivering a Dose of Hope
 
HUH stigma conference 11302012
HUH stigma conference 11302012HUH stigma conference 11302012
HUH stigma conference 11302012
 
UNICEF-CSAAC
UNICEF-CSAACUNICEF-CSAAC
UNICEF-CSAAC
 

Recently uploaded

Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
The byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxThe byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxShobhayan Kirtania
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...Pooja Nehwal
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 

Recently uploaded (20)

Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
The byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxThe byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptx
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 

Branch vital-multicultural journal-done

  • 1. NATIONAL FORUM OF MULTICULTURAL ISSUES JOURNAL VOLUME 6, NUMBER 1, 2009 Condom Use Knowledge and Condom Use among African- American Women: Evidence from a Cross-Sectional Study in Harris County, Texas Angela Branch-Vital, PhD Assistant Professor Department of Health Whitlowe R. Green College of education Prairie View A&M University Prairie View, TX Maria Fernandez, PhD Micheal Ross, PhD, MPH, DrMedSc Wenyaw Chan, PhD Professors School of Public Health University of Texas Health Science Center Harris County, TX Willie Smith, MED Instructor University of Louisville Louisville, KY _______________________________________________________________________ ABSTRACT The aim of this study was to determine the association between self-reported condom use knowledge and condom use at last intercourse among African- American women (≥ 18 years of age) in Harris County, Texas. The Condom Use Assessment Questionnaire was administered to 297 African-American women in Harris County, Texas, from August-November 2007. Chi-square and T-test statistics were conducted to assess the difference between condom users and non condom users. It was determined that there was no significant difference between condom use knowledge and condom use (p=0.27). Based on the findings of this study, it is important to further understand other risk factors (i.e. substance abuse, lack of awareness of HIV serostatus, sexually transmitted diseases, socioeconomic issues
  • 2. and homophobia and concealment of homosexual behavior) that influence condom use in the African-American community in order to design effective interventions to promote safer sex, and thereby, reduce the rate of HIV in this group. _______________________________________________________________________ _ Introduction Human Immunodeficiency Virus (HIV) infection continues to disproportionately affect African-American communities. An estimated 1.7 million people in the United States have been diagnosed with HIV, with approximately 40,000 new infections occurring each year (CDC, 2007). While African-Americans represented only 13% of the population in the United States in 2005, they represented 54% of the United States HIV cases (CDC, 2008). In 2005, 23,472 adults lived with HIV in Texas (Texas Department of State Health Services (TDHS, 2007). In Texas, African-Americans shared a greater burden of HIV than members of any other racial/ethnic groups. While African-Americans comprised only 11.7% of the population in Texas in 2008, they represented 41% of Texas HIV cases. African-American females accounted for 60% of HIV cases in Texas (TDHS, 2007). In 2008, Harris County, one of the largest counties in Texas, had a population of approximately 3,984, 349 with Houston as its urban center (U.S. Census Bureau, 2007). Between January 1999 and September 2006, there were approximately 13,382 persons living with HIV in Harris County (Houston Department of Health and Human Services [HDHHS], 2008). The majority of these HIV cases were among African- Americans (54%), followed by Caucasians (25%), Hispanics (20%) and others (1%). Among the female cases, the majority were African-Americans (74% of the female HIV cases in Harris County) in the 20-29 age groups (36%). The primary mode of transmission among African-American females was unprotected heterosexual contact (HDHHS, 2008). Several studies have examined whether condom use knowledge and condom use is an important predictor of condom use. For example, Lazarus, Himedan, Ostergaard & Liljiatand (2006) explored knowledge with regards to HIV/AIDS and condom use among 192 Somali and Sudanese men and women immigrants in Denmark, aged 18-49, who lived in Denmark for one or more years. The participants completed a 78-item questionnaire. It was reported that less than 50% of both men and women scored more than 70% on the knowledge portion of the questionnaire. It was concluded that in the two Danish immigrant groups, condom use knowledge level and condom use were low. Women with poor educational level were reported to have low knowledge of condom use and low use of condoms compared to those women with a higher educational level (Lazarus, Himedan, Ostergaard & Liljiatand, 2006). Another study conducted by Holmes, Ogungbade, Ward, Ross, Ekong & Essien (2008) that focused on baseline data from the Situationally Focused Individual HIV/AIDS intervention to promote HIV protective behavior among 2,213 Nigerian Military Personnel were analyzed. Using composite score of the six steps for the knowledge of condom use and modeling as the outcome variable, they examined educational status as a predictor variable, modeling
  • 3. with unconditional univariable and multivariable logistic regression. This study reported low knowledge of condom use and modeling among the Nigerian military personnel; as well as a direct correlation between education attainment and knowledge of condom use and modeling (Holmes, Ogungbade, Ward, Ross, Ekong & Essien, 2008). In this study, results are presented from a self-administered questionnaire that targets a large sample of African-American women and assesses self-reported condom use. Our objective in this study was to determine if there was an association between condom use knowledge and self-reported condom use based on age, educational level, marital status and religious affiliation among African-American women (≥ 18 years of age) in Harris County, Texas. Promoting condom use has been a major goal of programs designed to prevent HIV infection (CDC, 2008). Recent studies have provided a great deal of information regarding condom use, but nearly all of these studies have been limited. They were restricted to a narrow age range or they had relatively small samples. Methods Participants A convenience sample of 342 eligible women were asked to participate in the study; 45 eligible women declined to participant in the study due to time constraints. Two hundred and ninety-seven African-American women (≥ 18 years of age) in Harris County, Texas participated in the study. Participants were recruited from a community center and a local health fair in Harris County, Texas from August-November 2007. These sites were selected based on the availability of the population; the time frame in which the study was conducted; and the large numbers of African-American women participating and or involved in the public congregations (churches, civic clubs, social clubs, community centers, health fairs and job fairs) in Harris County, Texas. Eligibility was based on whether the women were: 1) African-American; 2) 18 years of age or older; 3) residents of Harris County; and 4) able to understand and complete the questionnaire in English. Recruitment Procedures All procedures and the questionnaire were reviewed and approved by the Committee for the Protection of Human Subjects (CPHS), the Institutional Review Board (IRB) for the University of Texas Health Science Center at Houston (UTHSC-H). Recruitment commenced in August 2007 and concluded in November 2007. Letters summarizing the purpose of the study were mailed to the directors of the James Prince Community Center and Sharpstown Health Fair for dissemination to members and guests. The letters sought permission for the study to be conducted at those locations. Once permission was granted, the directors of the community center and health fair scheduled appointments for the researchers to be introduced to the target population. The directors of the community center and health fair described the study to the target population and introduced the researchers. The researchers explained the purpose, the risks and benefits of the study. Participants were advised that they could refuse to answer any questions and participation would be both voluntary and anonymous. All participants signed a consent form and were given the questionnaire. The participants were instructed to
  • 4. deposit the completed questionnaire in a sealed box located by the exit doors of the community center and the health fair. Completion of the questionnaire took approximately thirty-five minutes. Measurements Condom Use. Condom use was measured with one variable, condom use at last intercourse with any sexual partner (Norris Phillips, Statton, Pearson, 2005; Williams, Bowen, Timpson, McCoy, Perkins et al, 2001). The question was as follow: “Was a condom used the last time you had sexual intercourse?” (Yes/No). This measure was chosen because it requires relatively one question and is easier to answer accurately as compared to other measures that include questions that require respondents to estimate their frequency of condom use during some specified time interval (Prata, Morris, Mazive, Vahidnia & Stehr, 2006). Another study conducted by Meekers & Rossem (2005) also used a similar condom use question. Condom Use Knowledge. Knowledge of how to use condoms with the Condom Use Knowledge Scale was measured with 17 items with a Cronbach α = 0.73 (Lindberg, 1993). The original Condom Use Knowledge Scale consisted of 19 multiple-choice items with internal consistency (Cronbach α = 0.66). In this study, we revised the scale by removing two questions based on feedback from the focus group and two behavioral HIV experts. Each question had four possible answers. The correct answer was worth one point and an incorrect answer received no points. Test scores could range from zero (lowest) to 17 (highest). The number of correct answers was summed (range: 0–17), with 17 being the maximum (highest) knowledge of condom use score. Demographics. We used seven variables to categorize participants’ age, gender, racial/ethnic background, educational level, marital status, location and religious affiliation. Analysis Frequency analyses were conducted on the outcome variable (condom use) and on all categorical demographic variables. Means, standard deviations, and ranges for all continuous demographic variables and condom-use knowledge scores were calculated. Two-sample t-test and chi square statistics were used to assess the difference in the mean scores in condom use knowledge among participants who used condoms and participants who do not use condoms. All tests were considered to be statistically significant if p<0.05. All analyses were performed by STATA statistical software package (version 9). Results Descriptive Analyses Table 1 provides an overview of the demographic characteristics of the participants in this study. The participants in the study were diverse in age, educational level, religious affiliation and marital status. Majority of the participants in the study were between the ages of 18-29 years and had a post-high school education. Also, the majority of the participants self-reported as being single (65%) and declared themselves to be affiliated with the Protestant (Baptist) faith (55%).
  • 5. Table 1. Demographic characteristics of participants Variables N=297 Educational Level Did not complete high school 55(19%) Completed high school/G.E.D. 63(21%) Attended college but not completed / completed associate college degree 115(39%) Completed college / attended or completed graduate school 64(21%) Age Group 18-29 130(44%) 30-39 63(22%) 40+ 104(34%) Marital status Single 194(65%) Married 71(24%) Divorced/Widowed 31(11%) Religious affiliation Baptist 163(55%) Methodist 20(7%) Catholic 63(21%) Other 43(14%) None 8(3%) Abbreviation: %= percentage Table 2 depicts the demographics of self-reported condom use at last intercourse. Forty-three percent (43%) of women reported condom use at last intercourse. Participants who self-reported condom use during their last sexual intercourse were more likely to be single, have a Baptist affiliation, and have had some college-level education. All demographic characteristics were statistically associated with condom use knowledge (p<0.001). Table 2. Demographics of self-reported condom use across condom use knowledge score (N=276)
  • 6. Condom use TP n=119 (43%) Non-condom use TP n=157(57%) P-value Educational level < high school 33(28%) 16(10%) <.0001 Completed H.S./G.E.D. 24 (20%) 35(22%) Some college / completed associate college degree 38(32% ) 71(45%) Completed college or higher 24(20%) 35(22% ) Age Group 18-29 69(58% ) 53(34%) <.0001 30-39 18(15%) 41(26%) 40+ 32(27% ) 63(40%) Marital status Single 87(73%) 91(58%) <.0001 Married 15(13%) 56(36% ) Divorced/Widowed 16(13%) 10(6%) Religious affiliation Baptist 69(58%) 84(54%) <.0001 Methodist 3(3%) 17(11%) Catholic 20(17%) 41(26%) Other 24(20%) 11(7%) None 3(3%) 4(3%) Abbreviations: TP= Total Population %=Percentage H.S= high school Condom Use Knowledge and Condom Use. From the results of the two-sample t- test, the mean Condom Use Knowledge score for participants who used condoms was 10.5 (SD=2.97) and participants who did not use condoms were 10.1 (SD=3.84), there was no significant differences in condom use knowledge between participants who used condoms and participants who did not use condoms (p=0.27). The majority of the women in the sample knew that K-Y jelly or other water- soluble lubricant was safe to use to lubricate a condom. In addition, non-condom users answered more questions correct as compared to condom users. Regardless of condom use, few women demonstrated an understanding of methods and techniques used to
  • 7. enhance sexual pleasure for their partner while using a condom or the proper actions to take if the condom breaks during sexual intercourse. Chi-square statistic was performed on each item of the Condom Use Knowledge Scale to distinguish condom users and non-condom users. It was determined that nearly half of the items (items # 1, 3, 4, 8, 10, 14, 15 and 17) were able to distinguish condom users and non-condom users when assessed independently. A detailed overview is provided in Table 3. Table 3.Percentage of participants correct responses -Condom Use Knowledge (N=275) Condom Use n=118 Non- condom use n=157 Questions Count Count X2 P 1 .When is the correct time to put a condom on your partner? 94 (47%) 108 (53%) 4.08 p=0.04 2. What is the correct way to apply a condom? 76 (41%) 111 (59%) 1.22 p= 0.27 3. What is safe to use to lubricate (wet) a condom? 102 (46%) 119 (54%) 4.84 p= 0.03 4. Which should you do to decrease the chance of a condom breaking? 92 (47%) 104 (53%) 4.52 p= 0.03 5. What is the best type of condom to use for protection from HIV/AIDS and other Sexually Transmitted Diseases/Venereal Diseases (STDS/VDS)? 84(42%) 117 (58%) 0.61 p= 0.44 6. Which of the following is important to do when putting on a condom? 72(47%) 82 (53%) 1.86 p=0.17 7. When using condoms, what is important to do after giving a man oral sex but before having vaginal sex? 77(40%) 114 (60%) 2.42 p= 0.12 8. What is important to do if a man loses his erection (get soft) during intercourse? 87(48%) 94 (52%) 5.32 p= 0.02 9. What will enhance sexual pleasure for the man while using a condom? 34(49%) 36 (51%) 1.12 p= 0.29 10. What should you do to make sure the condom is protecting you before the man ejaculates (comes/cum)? 76 (48%) 81 (52%) 4.54 p=0.03 11. What is important to do after the man comes/cum (ejaculates)? 74 (42%) 101 (58%) 0.16 p=0.69
  • 8. 12. When are condoms most likely to come off the penis during sex? 55 (39%) 87 (61%) 3.34 p=0.19 13. What is not true about buying, using and storing condoms? 75 (42%) 102 (58%) 0.13 0.72 14. What is a reason for using a lubricant with a condom? 92 (48%) 100 (52%) 6.04 p=0.01 15. To protect you against HIV/AIDS, what is the best thing to do if the condom breaks? 28 (34%) 55 (66%) 4.34 p=0.04 16. How do you dispose of condoms? 45 (40%) 68 (60%) 0.16 p=0.69 17. What should you do if you attempt to put a condom on backwards or inside out? 96 (48%) 103 (52%) 7.84 p= 0.05 Discussion The aim of this study was to evaluate the association between condom use knowledge and condom use behavior. Our study contrasts with the studies of several researchers (Holmes, Ogungbade, Ward, Ross, Ekong & Essien, 2008; Lazarus, Himedan, Ostergaard & Liljiatand, 2006; Weller & Davis, 2002), who reported a significant association, but corroborates with other studies of researchers (Rock, Resnickl & McNeely, 2005; Zellner, 2003), who have reported no significant association between condom use knowledge and condom use. Level of condom use in this study was consistent with previous studies with African-Americans, which reflected low rates of condom use (Holmes, Ogungbade, Ward, Ross, Ekong & Essien, 2008; Prata, Morris, Mazine, Valideria, & Stehr, 2006). Specifically, this study documented 43% of the women who reported condom use at last intercourse. The researchers in this study reported lower use of condoms among divorced /widowed and married women. Given the disproportionate cases of HIV among African-American women in Houston, Harris County, it is important to promote consistent and correct condom use for both steady and casual sexual partners. However, asking your sexual partner(s) to use a condom during sexual intercourse may signal mistrust to the partner (Prata, Morris, Mazine, Valideria, & Stehr, 2006). Addressing this issue requires condom use knowledge education, counseling, and skill- based interventions to encourage condom use for those engaging in risky sexual behaviors. In addition, this study has used an array of questions to measure knowledge of condoms, from participants general knowledge about condoms to their general understanding of condoms use (e.g., when is the correct time to put a condom on your
  • 9. partner, what is the correct way to apply a condom, what is safe to use to lubricate (wet) a condom, what is important to do if a man loses his erection (get soft) during intercourse ) Our study, which modified Lindberg’s (1993) condom use knowledge survey is generalizable to African-American women in Houston, Harris County aged 18 and older. This study contributes to the literature on condom use and prevention of HIV by examining the participants’ condom use knowledge level and their condom use. The Condom Use Knowledge Scale was not able to distinguish condom users and non-condom users, however when each item on The Condom Knowledge Scale was assessed individually, nearly half of the items (8) were able to distinguish condom users and non-condom users. It is possible that a scale could be created with the 8 items that distinguished condom users and non-condom users. Developing the 8 items on the Condom Use Knowledge Scale enables researchers to increase condom use by teaching specifically about the 8 items with distinguished condom users and non-condom users. Research demonstrates that by merely telling people to use condoms to prevent the spread of HIV is not enough to change their behavior (CDC, 2007). Condom use is a dyadic behavior: it involves two people and an agreement to use a condom. Thus, looking at just one of the two partners and their characteristics is only half of the condom use equation. Since the condom is worn by the male, it is likely that it is characteristic of the male, rather than the female, are crucial ones to study in regard to condom use There were a few limitations to the study. First, a temporal sequence of cause and effect relationship between the independent and outcome variables could not be established due to the use of a cross-sectional study design. The study collected data from two geographic locations, which may limit the ability to generalize the study results. However, this study selected sites that increased the likelihood of potential participants being representative of various locations within Houston, Harris County, Texas by selecting a community center and a health fair on days where outreach activities involved inputs from all communities. In addition, we obtained the data for this study based on participants self-reported condom use and condom use knowledge. Second, the use of a non-probability (convenience) sample might have introduced the potential for selection bias, limiting our ability to generalize to other settings, times and populations. A third limitation was that the data for this study was obtained through a self-reported questionnaire, which could lead to potential information bias. However, it was established that self-reported condom use was the only way to determine condom use (Geary, 2003). Fourth, having participants recall their last sexual intercourse and condom use could lead to recall bias. However, assessing condom use at last intercourse requires relatively few questions that are easier to answer accurately compared to other measures that requires respondents to estimate their frequency of condom use during a specified interval (Anderson, Rietmeijer & Wilson, 1998). Finally, another form of information bias that could occur was prevarication (lying) bias, which occurs when participants have ulterior motives for answering a question. If the collected information did not reflect the participants’ true behavior, the study results would be inaccurate and invalid. To prevent this type of bias, the questionnaire was self-administered and the researchers assured participants that their responses would remain confidential. Concluding Remarks
  • 10. It is especially important to understand the factors that influence condom use in the African-American community in order to design effective interventions to promote safer sex and, as a result, reduce the rate of HIV within this group. Our findings suggested that the participants’ condom use could depend on the participants’ demographic characteristics. Several studies (Lazarus, Himedan, Ostergaard & Liljiatand, 2006; Prata, Morris, Mazine, Valideria, Stehr, 2006) have reported similar results indicating that condom use could be related to participants’ educational level. Although we have assessed demographic characteristics in this study, we did not examine other factors, including substance abuse, lack of awareness of HIV serostatus, sexually transmitted diseases, socioeconomic issues and homophobia and concealment of homosexual behavior. These factors have been identified by CDC (2008) as risk behaviors but previous studies have focused separately on these factors among African- Americans and their condom use. There has not been a comprehensive study addressing risk behaviors in the African-American community. Continued measurements of condom use behaviors are needed in the African-American communities to increase condom use in this community. Secondly, more research is needed to educate both men and women regarding the risks and consequences of contracting HIV and other STDs with non condom use. Finally, greater efforts must be made to target programs toward African-Americans, both males and females. References Anderson, J.E., Rietmeijer, C., & Wilson, R.W. (1998). Asking about condom use: Is there a standard approach that should be adopted across surveys? American Journal of Public Health, 93(6), 912-914. Department of Health and Human Services Centers of Disease Control and Prevention (2007). HIV/AIDS and African-Americans (2007-2008 ed.). Atlanta, Georgia: U.S. Government Printing Office. Department of Health and Human Services Centers of Disease Control and Prevention (2007). Fact sheet HIV/AIDS and African-Americans (2008 ed.). Atlanta, Georgia: U.S. Government Printing Office. Harris County Department of Health and Human Services (2006). HIV epidemiology report in Harris County health. Houston, Texas: U.S. Government Printing Office. Holmes, L., Ogungbade, G., Ward, D., Ross, M., Ekong, E., & Essien, E.J. (2008). Epidemiologic and behavioral characterization of knowledge of condom use and modeling among military personnel. African Journal of Reproductive Health, 12(2), 32–44. Houston Department of Health and Human Services [HDHHS] (2008). Integrated epidemiological profile for HIV/AIDS prevention & care planning. Houston, TX: U.S. Government Printing Office. Lazarus, J.V., Himedan, H., Ostergaard, L.R., & Liljestrand, J. (2006). HIV/AIDS knowledge. Scandinavian Journal of Public Health, 34(1), 92-99. Lindberg, C. (1993). Condom use knowledge scale. Family Planning Perspectives, 29(4) 128-131, 140.
  • 11. Lingberg, C. (2000). Knowledge, self-efficacy, coping and condom use among urban women. Journal of the Association of Nurses in AIDS Care, 11(5), 80-90. Meekers, D., & Van Rossem, R. (2005). Explaining inconsistencies between data on condom use and condom use sales. BioMed Central Health Service Research 5(5), 1-14. Norris, D., Phillips, R., Statton, M., & Pearson, T. (2005). Condom use by male, enlisted, deployed navy personnel with multiple partners. Military Medicine, 170(10), 898-904. Prata, N. Morris, L., Mazine, E., Valideria, F, & Stehr, M. (2006). Relationship between HIV perception & condom use: Evidence from a population based survey in Mozarbique. Internal Family Perspective, 32(4), 56-63. Rock, E.M., Ireland, M., Resniek, M.D., & McNeely, C.A. (2005). A rose by any other name? Objective knowledge, perceived knowledge, and adolescent male condom use. Pediatrics, 115(3), 667-672. Texas Department of State Health Services Texas Department (2007). Texas HIV/STI surveillance report, Department of State Health Services (2005-2007 ed.). Austin, TX: U.S. Government Printing Office. Texas Department of State Health Services Texas Department (2009). Texas HIV/STI surveillance report, Department of State Health Services. Austin, TX: U.S. Government Printing Office. U.S. Census (2007). Harris County quick facts for the U.S. Census Bureau. Washington, DC: U.S. Government Printing. Weller, S., & Davis, K. (2002). Condom effectiveness in reducing heterosexual HIV transmission. Cochrane Database Systematic Review, (1), CD003255, 1-22. Williams M., Ross M. W., Bowen, A. M., Timpson S., McCoy, H. V., Perkins, K., Saunders, L., & Young, P. (2001). An investigation of condom use by frequency of sex. Sexually Transmitted Infections, 77(6), 433-5. Zellner, S. (2003). Condom use and the accuracy of AIDS knowledge, condom use and the accuracy of AIDS knowledge, condom use. International Family Planning Perspectives, 29(1), 41-47.