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International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019
Available at www.ijsred.com
ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 337
Preferred Methods of Assisted Partner Notification Services in
Seme and Kisumu West Sub Counties, Kenya
AnangweMunala Samson, Dennis G. Magu, Fredrick O. Otieno.
Jomo Kenyatta University of Agriculture and Technology
anangwems@gmail.com
Abstract
No one method of partner notification is universally preferred. Preferences differ by population, age
(specifically young people) and partner type (primary or non-primary).We aim to examine the preferred
methods of assisted partner notification service among HIV positive clients in Kisumu county. We
conducted a descriptivecross-sectional research study in 3 health facilities on a sample of 423 HIV positive
clients. Findings indicated that 40.4% of the participants indicated that the preferred method of referral was
provider referral .However there existed no statistical association between participation in PNS and the
preferred methods.
I. INTRODUCTION
Assisted partner notification service (aPNS) is a targeted public health strategy used to curb the spread of
sexually transmitted infections (STIs) by tracking, testing and treating infected partners of index clients.
This public health strategy entails a health worker interviewing persons identified with an STI (index cases)
about their sexual partner(s) and/or contacts and then providing the index case with some level of assistance
notifying their partner(s) and assuring their testing. Some health departments in parts of the United States
(US) and Europe developed aPNS programs targeting HIV as early as the 1980s, and they have
demonstrated that aPNS is an effective strategy towards HIV case finding and promotion of safer
behaviours[1]. Despite the strategy being resource intensive, studies suggest that aPNS can be cost-effective
and cost saving as a result of HIV prevention potential and the consequent cost of HIV care [2]. Findings
from a Cameroonian aPNS program indicated identification of one new case of HIV in every 3.2 index
cases interviewed [3]. Findings from a Malawian small (n=245) randomized controlled trial within an STI
clinic, indicated a two fold increase/doubling of the number of sexual partners testing for HIV as a result of
RESEARCH ARTICLE OPEN ACCESS
International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019
Available at www.ijsred.com
ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 338
aPNS in comparison to standard HTS practices, with< 50% of these partners were identified HIV positive
[4]. At national level, Kenya is working towards establishing a national aPNS program through training of
health care workers, development of policy guidelines and tools as well as utilization of available local
study findings to design an effective aPNS strategy framework thus the need to examine the preferred
methods.
Existing literature indicates that no one method of partner notification is universally preferred. Preferences
differ by population, age (specifically young people) and partner type (primary or non-primary). A study
indicated that clients and providers preferred passive referral (73–94%) [5]. Other studies showed that
clients preferred assisted approaches and found provider referral acceptability range of between 11% to 71%
[6]–[8] Among MSM and FSWs, contract or provider referral was also perceived to be defensive against
impending guilt, violence and stigma [9]. One study among PWIDs reported that, provided the choice
between passive or provider referral by an outreach worker, 71% of HIV-positive persons nominated
provider referral[10].
Partner alerting via Internet applications and text messages may be more satisfactory to young people and to
MSM than other groups, particularly when persons do not have additional contact information for their sex
companions [7], [9], [11].Studies in Singapore and United States showed that individuals preferred face to
face alert over the telephone or using text message options [12], [13].Therefore, this paper aims to
determine the preferred method(s) of assisted partner notification among HIV infected adults on HIV care in
Seme and Kisumu West sub counties.
II. METHODS
The study site was Kisumu County is one of the 47 Counties in Kenya and the study areas included Seme
and Kisumu West sub counties.The area of study was selected purposively because the area covers the
demographics surveillance area that is in Seme and Kisumu West sub counties. The study adopted a
descriptive cross sectional research design. The inclusion criteria of the studywas Clients aged above 18
years attending HIV clinical care in the sampled health facilities in Seme and Kisumu West sub counties
and had participated or not participated in the aPNS or and were willing to consent to participate in the
study.The sample consisted of 423 participants from the target population. These was obtained from among
HIV infected male and female individual’s adults accessing HIV care and treatment services or had been
tested for HIV and found to be newly identified HIV positive within 3 randomly selected public health
International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019
Available at www.ijsred.com
ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 339
facilities 2 in Seme Sub County and 1 in Kisumu West Sub County. This was derived from those clients
registered in HIV care clinics in Chulaimbo Sub County Hospital in Kisumu west and Kombewa and
Manyuanda Sub county Hospitals in Seme sub county. Stratified sampling method was used to generate the
sample size. At each health facility, potential participants were approached as they attended HIV care clinics
in the facilities. Simple random sampling was used to select the participants from each facility. The research
assistants assigned serial numbers against clients booked for clinical visits per day, wrote the serial numbers
on flip ruffle cards and mixed them in a ruffle box before randomly picking each card and developing a line
list of clients to be approached for consenting to the study on that day. Questionnaires were read out for the
participants by the research assistants in the language they best understand- either English or Dholuo.
Structured questionnaires was the main tool for data collection. The researcher engaged research assistants
who were trained on the background of the study, its objectives, on the use of the instrument and proper data
collection methods through conducting a small scale trial of data collection instruments (questionnaire) to
determine clarity of the questions and whether the said questions elicited the desired information.Selection
of research assistants was done from within Kisumu County. Data was analyzed using STATA version 14.2
and logistic regression was employed, P-values <0.05 were considered statistically significant results.
III. RESULTS
Findings indicated that 423 adults on care were interviewed, majority (33.5%) were between the ages 26-35
years and 54.5% of them were female, married (63.4%) and Christians (95%). Majority of the respondents
in the study resided in the rural setting (73.3%) and most of them were self-employed (40%). Moreover,
50.5% of them had primary level education and were from the general population (83.9%)
Table 1: Distribution of Sociodemographic characteristics of respondents
Socio demographic characteristics
N %
Age category
18-25 yrs 72 17.1
26-35 yrs 141 33.5
36-45 yrs 129 30.6
Above 45 yrs 79 18.8
Gender
Male 190 45.5
Female 228 54.5
International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019
Available at www.ijsred.com
ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 340
Marital status
Single 70 16.9
Married 262 63.4
Cohabiting 2 0.5
Separated/Divorced/Widowed 79 19.1
Residence
Permanently residing in rural
setting/home 307 73.3
Permanently resides in urban
setting/home 64 15.3
Works in urban centre and
resides in rural home 37 8.8
Works in rural setting and
resides in urban home 11 2.6
Occupation
Self employed 167 40
Employed 96 23
Peasant 97 23.3
Unemployed 57 13.7
Religion
Christian 397 95
Islam 6 1.4
Traditional Religion 9 2.2
Pagan 6 1.4
Population type
Sex worker 2 0.5
Uninformed forces 2 0.5
Truck driver 2 0.5
Adolescent girl and youg
women 22 5.3
General population 349 83.9
Fisher folk 17 4.1
Bodaboda driver 20 4.8
Other 2 0.5
Highest level of education
None 13 3.1
Primary level 212 50.5
Secondary level 124 29.5
College/University level 71 16.9
Overall, a high proportion (40.4%) indicated that the preferred method of referral was provider referral.
Moreover client referral was also among the preferred methods (26.0%).Contractreferral was the least
preferred method of referral (20.8%).However, client referral method was the most preferred among those
International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019
Available at www.ijsred.com
ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 341
who had participated in PNS(75.5%) while dual referral method was the preferred among those who had not
participated in PNS. However, there existed no statistically difference between different referral methods
and participation in partner notification service (p>0.05).
Table 2:Preferred method of partner notification services
aPNS non
beneficiaries aPNS beneficiaries
Method Total(N) n(%) n(%) OR(95% CI)
p
value
Provider referral
Yes 171(40.4) 56(32.7) 115(67.3) 0.87(0.57 - 1.32) 0.515
No 252(59.6) 75(29.8) 177(70.2) Ref
Contract referral
Yes 88(20.8) 28(31.8) 60(68.2) 0.95(0.57 - 1.58) 0.847
No 335(79.2) 103(30.7) 232(69.3) Ref
Dual referral
Yes 89(21.0) 33(37.1) 56(62.9) 0.70(0.43 - 1.15) 0.162
No 334(79.0) 98(29.3) 236(70.7) Ref
Client referral
Yes 110(26.0) 27(24.5) 83(75.5) 1.53(0.93 - 2.51) 0.092
No 313(74.0) 104(33.2) 209(66.8) Ref
IV. DISCUSSION
The findings indicated that provider referral methods was the most preferred method overall.The findings
are consistent with studies such as [5], [8] which recommended that provider referral may be helpful for
notifying non-primary partners. Similarly, the findings also were in agreement with a study among PWIDs
which reported that, 71% of HIV-positive persons nominated provider referral over other methods used to
contact partners[10]. However, the findings were in contrast with a study from the Tanzania where 93% of
HIV-positive persons favored passive methodologies over contract or provider referrals [14].On comparison
of the preferred methods between those who had participated in aPNS and those who did not participate in
aPNS,there was no significant difference between the two groups in terms of the preferred method.The
preference of the provider referral method is due the fact that the method is guided by confidentiality and
high level of professionalism.
International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019
Available at www.ijsred.com
ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 342
V. CONCLUSION
Provider referral methods should be adopted in implementation of the assisted partner notification.
ACKNOWLEDGMENT
Jomo Kenyatta University of Agriculture and Technology, JaramogiOgingaOdinga Teaching and Referral
Hospital (JOOTRH) ERC/IRB, County Government of Kisumu- Ministry of Health; County Director of
Health, County Director of Education, County commissioner, Seme and Kisumu Sub Counties Sub County
Health Management Teams, Health Management Teams Kombewa County Hospital, Chulaimbo County
Hospital and Manyuanda Sub County Hospital.
REFERENCES
[1] M. Hogben, T. McNally, M. McPheeters, A. B. Hutchinson, and T. F. on C. P. Services, “The
effectiveness of HIV partner counseling and referral services in increasing identification of HIV-
positive individuals: a systematic review,” Am. J. Prev. Med., vol. 33, no. 2, pp. S89–S100, 2007.
[2] B. Varghese, T. A. Peterman, and D. R. Holtgrave, “Cost-effectiveness of counseling and testing and
partner notification: a decision analysis,” AIDS Lond. Engl., vol. 13, no. 13, pp. 1745–1751, Sep. 1999.
[3] C. Henley et al., “Scale-Up and Case-Finding Effectiveness of an HIV Partner Services Program in
Cameroon: An Innovative HIV Prevention Intervention for Developing Countries,” Sex. Transm. Dis.,
vol. 40, no. 12, pp. 909–914, Dec. 2013.
[4] L. B. Brown et al., “HIV partner notification is effective and feasible in sub-Saharan Africa:
Opportunities for HIV treatment and prevention,” J. Acquir. Immune Defic. Syndr. 1999, vol. 56, no. 5,
pp. 437–442, Apr. 2011.
[5] D. Carnicer-Pont et al., “Use of new technologies to notify possible contagion of sexually-transmitted
infections among men,” Gac. Sanit., vol. 29, no. 3, pp. 190–197, May 2015.
[6] F. N. Dalle, F. L. Di, A. Sanfilippo, E. N. Dalle, N. Arena, and T. Prestileo, “Contact tracing and
partner notification among a cohort of HIV-1 infected patients. A prospective study carried out in
Palermo in 2012,” Recenti Prog. Med., vol. 105, no. 9, pp. 327–332, 2014.
[7] M. J. Mimiaga et al., “HIV and STD status among MSM and attitudes about Internet partner
notification for STD exposure,” Sex. Transm. Dis., vol. 35, no. 2, pp. 111–116, 2008.
[8] S. Wayal, G. Hart, A. Copas, S. Edwards, and J. Cassell, “Sexual behaviour, partnership patterns and
STI diagnoses among HIV/STIS transmission and partner notification,” 2012.
[9] S. Wayal, J. Cassell, G. Scambler, G. Hart, and N. Low, “O5-S3. 05 Partner notification for STI And
HIV: patients’ views and experiences of notifying partners,” Sex Transm Infect, vol. 87, no. Suppl 1,
pp. A95–A96, 2011.
[10] J. A. Levy and S. E. Fox, “The outreach-assisted model of partner notification with IDUs.,” Public
Health Rep., vol. 113, no. Suppl 1, p. 160, 1998.
[11] M. Doull et al., P04. 01 Similarities and differences in perceptions of models for online partner
notification for sexually transmitted infections: potential users versus care providers. BMJ Publishing
Group Ltd, 2015.
International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019
Available at www.ijsred.com
ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 343
[12] C. Scott, A. Teague, A. Menon-Johanssen, R. Jones, and A. Sullivan, “A study to assess acceptability
of partner notification via Short Message Service text messaging (SMS): P90,” Hiv Med., vol. 11,
2010.
[13] W. S. Tan and T. W. Chio, P04. 03 Which partner notification method do patients prefer? results of a
patient preference survey at the national sti clinic in singapore. BMJ Publishing Group Ltd, 2015.
[14] M. Plotkin et al., “Effective, high-yield HIV testing for partners of newly diagnosed persons in
Tanzania,” in Conference on Retroviruses and Opportunistic Infections. Boston, MA, USA, 2016.

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"Preferred methods of assisted Partner Notification Services in Seme and Kisumu west sub counties, Kenya"

  • 1. International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019 Available at www.ijsred.com ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 337 Preferred Methods of Assisted Partner Notification Services in Seme and Kisumu West Sub Counties, Kenya AnangweMunala Samson, Dennis G. Magu, Fredrick O. Otieno. Jomo Kenyatta University of Agriculture and Technology anangwems@gmail.com Abstract No one method of partner notification is universally preferred. Preferences differ by population, age (specifically young people) and partner type (primary or non-primary).We aim to examine the preferred methods of assisted partner notification service among HIV positive clients in Kisumu county. We conducted a descriptivecross-sectional research study in 3 health facilities on a sample of 423 HIV positive clients. Findings indicated that 40.4% of the participants indicated that the preferred method of referral was provider referral .However there existed no statistical association between participation in PNS and the preferred methods. I. INTRODUCTION Assisted partner notification service (aPNS) is a targeted public health strategy used to curb the spread of sexually transmitted infections (STIs) by tracking, testing and treating infected partners of index clients. This public health strategy entails a health worker interviewing persons identified with an STI (index cases) about their sexual partner(s) and/or contacts and then providing the index case with some level of assistance notifying their partner(s) and assuring their testing. Some health departments in parts of the United States (US) and Europe developed aPNS programs targeting HIV as early as the 1980s, and they have demonstrated that aPNS is an effective strategy towards HIV case finding and promotion of safer behaviours[1]. Despite the strategy being resource intensive, studies suggest that aPNS can be cost-effective and cost saving as a result of HIV prevention potential and the consequent cost of HIV care [2]. Findings from a Cameroonian aPNS program indicated identification of one new case of HIV in every 3.2 index cases interviewed [3]. Findings from a Malawian small (n=245) randomized controlled trial within an STI clinic, indicated a two fold increase/doubling of the number of sexual partners testing for HIV as a result of RESEARCH ARTICLE OPEN ACCESS
  • 2. International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019 Available at www.ijsred.com ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 338 aPNS in comparison to standard HTS practices, with< 50% of these partners were identified HIV positive [4]. At national level, Kenya is working towards establishing a national aPNS program through training of health care workers, development of policy guidelines and tools as well as utilization of available local study findings to design an effective aPNS strategy framework thus the need to examine the preferred methods. Existing literature indicates that no one method of partner notification is universally preferred. Preferences differ by population, age (specifically young people) and partner type (primary or non-primary). A study indicated that clients and providers preferred passive referral (73–94%) [5]. Other studies showed that clients preferred assisted approaches and found provider referral acceptability range of between 11% to 71% [6]–[8] Among MSM and FSWs, contract or provider referral was also perceived to be defensive against impending guilt, violence and stigma [9]. One study among PWIDs reported that, provided the choice between passive or provider referral by an outreach worker, 71% of HIV-positive persons nominated provider referral[10]. Partner alerting via Internet applications and text messages may be more satisfactory to young people and to MSM than other groups, particularly when persons do not have additional contact information for their sex companions [7], [9], [11].Studies in Singapore and United States showed that individuals preferred face to face alert over the telephone or using text message options [12], [13].Therefore, this paper aims to determine the preferred method(s) of assisted partner notification among HIV infected adults on HIV care in Seme and Kisumu West sub counties. II. METHODS The study site was Kisumu County is one of the 47 Counties in Kenya and the study areas included Seme and Kisumu West sub counties.The area of study was selected purposively because the area covers the demographics surveillance area that is in Seme and Kisumu West sub counties. The study adopted a descriptive cross sectional research design. The inclusion criteria of the studywas Clients aged above 18 years attending HIV clinical care in the sampled health facilities in Seme and Kisumu West sub counties and had participated or not participated in the aPNS or and were willing to consent to participate in the study.The sample consisted of 423 participants from the target population. These was obtained from among HIV infected male and female individual’s adults accessing HIV care and treatment services or had been tested for HIV and found to be newly identified HIV positive within 3 randomly selected public health
  • 3. International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019 Available at www.ijsred.com ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 339 facilities 2 in Seme Sub County and 1 in Kisumu West Sub County. This was derived from those clients registered in HIV care clinics in Chulaimbo Sub County Hospital in Kisumu west and Kombewa and Manyuanda Sub county Hospitals in Seme sub county. Stratified sampling method was used to generate the sample size. At each health facility, potential participants were approached as they attended HIV care clinics in the facilities. Simple random sampling was used to select the participants from each facility. The research assistants assigned serial numbers against clients booked for clinical visits per day, wrote the serial numbers on flip ruffle cards and mixed them in a ruffle box before randomly picking each card and developing a line list of clients to be approached for consenting to the study on that day. Questionnaires were read out for the participants by the research assistants in the language they best understand- either English or Dholuo. Structured questionnaires was the main tool for data collection. The researcher engaged research assistants who were trained on the background of the study, its objectives, on the use of the instrument and proper data collection methods through conducting a small scale trial of data collection instruments (questionnaire) to determine clarity of the questions and whether the said questions elicited the desired information.Selection of research assistants was done from within Kisumu County. Data was analyzed using STATA version 14.2 and logistic regression was employed, P-values <0.05 were considered statistically significant results. III. RESULTS Findings indicated that 423 adults on care were interviewed, majority (33.5%) were between the ages 26-35 years and 54.5% of them were female, married (63.4%) and Christians (95%). Majority of the respondents in the study resided in the rural setting (73.3%) and most of them were self-employed (40%). Moreover, 50.5% of them had primary level education and were from the general population (83.9%) Table 1: Distribution of Sociodemographic characteristics of respondents Socio demographic characteristics N % Age category 18-25 yrs 72 17.1 26-35 yrs 141 33.5 36-45 yrs 129 30.6 Above 45 yrs 79 18.8 Gender Male 190 45.5 Female 228 54.5
  • 4. International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019 Available at www.ijsred.com ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 340 Marital status Single 70 16.9 Married 262 63.4 Cohabiting 2 0.5 Separated/Divorced/Widowed 79 19.1 Residence Permanently residing in rural setting/home 307 73.3 Permanently resides in urban setting/home 64 15.3 Works in urban centre and resides in rural home 37 8.8 Works in rural setting and resides in urban home 11 2.6 Occupation Self employed 167 40 Employed 96 23 Peasant 97 23.3 Unemployed 57 13.7 Religion Christian 397 95 Islam 6 1.4 Traditional Religion 9 2.2 Pagan 6 1.4 Population type Sex worker 2 0.5 Uninformed forces 2 0.5 Truck driver 2 0.5 Adolescent girl and youg women 22 5.3 General population 349 83.9 Fisher folk 17 4.1 Bodaboda driver 20 4.8 Other 2 0.5 Highest level of education None 13 3.1 Primary level 212 50.5 Secondary level 124 29.5 College/University level 71 16.9 Overall, a high proportion (40.4%) indicated that the preferred method of referral was provider referral. Moreover client referral was also among the preferred methods (26.0%).Contractreferral was the least preferred method of referral (20.8%).However, client referral method was the most preferred among those
  • 5. International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019 Available at www.ijsred.com ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 341 who had participated in PNS(75.5%) while dual referral method was the preferred among those who had not participated in PNS. However, there existed no statistically difference between different referral methods and participation in partner notification service (p>0.05). Table 2:Preferred method of partner notification services aPNS non beneficiaries aPNS beneficiaries Method Total(N) n(%) n(%) OR(95% CI) p value Provider referral Yes 171(40.4) 56(32.7) 115(67.3) 0.87(0.57 - 1.32) 0.515 No 252(59.6) 75(29.8) 177(70.2) Ref Contract referral Yes 88(20.8) 28(31.8) 60(68.2) 0.95(0.57 - 1.58) 0.847 No 335(79.2) 103(30.7) 232(69.3) Ref Dual referral Yes 89(21.0) 33(37.1) 56(62.9) 0.70(0.43 - 1.15) 0.162 No 334(79.0) 98(29.3) 236(70.7) Ref Client referral Yes 110(26.0) 27(24.5) 83(75.5) 1.53(0.93 - 2.51) 0.092 No 313(74.0) 104(33.2) 209(66.8) Ref IV. DISCUSSION The findings indicated that provider referral methods was the most preferred method overall.The findings are consistent with studies such as [5], [8] which recommended that provider referral may be helpful for notifying non-primary partners. Similarly, the findings also were in agreement with a study among PWIDs which reported that, 71% of HIV-positive persons nominated provider referral over other methods used to contact partners[10]. However, the findings were in contrast with a study from the Tanzania where 93% of HIV-positive persons favored passive methodologies over contract or provider referrals [14].On comparison of the preferred methods between those who had participated in aPNS and those who did not participate in aPNS,there was no significant difference between the two groups in terms of the preferred method.The preference of the provider referral method is due the fact that the method is guided by confidentiality and high level of professionalism.
  • 6. International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019 Available at www.ijsred.com ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 342 V. CONCLUSION Provider referral methods should be adopted in implementation of the assisted partner notification. ACKNOWLEDGMENT Jomo Kenyatta University of Agriculture and Technology, JaramogiOgingaOdinga Teaching and Referral Hospital (JOOTRH) ERC/IRB, County Government of Kisumu- Ministry of Health; County Director of Health, County Director of Education, County commissioner, Seme and Kisumu Sub Counties Sub County Health Management Teams, Health Management Teams Kombewa County Hospital, Chulaimbo County Hospital and Manyuanda Sub County Hospital. REFERENCES [1] M. Hogben, T. McNally, M. McPheeters, A. B. Hutchinson, and T. F. on C. P. Services, “The effectiveness of HIV partner counseling and referral services in increasing identification of HIV- positive individuals: a systematic review,” Am. J. Prev. Med., vol. 33, no. 2, pp. S89–S100, 2007. [2] B. Varghese, T. A. Peterman, and D. R. Holtgrave, “Cost-effectiveness of counseling and testing and partner notification: a decision analysis,” AIDS Lond. Engl., vol. 13, no. 13, pp. 1745–1751, Sep. 1999. [3] C. Henley et al., “Scale-Up and Case-Finding Effectiveness of an HIV Partner Services Program in Cameroon: An Innovative HIV Prevention Intervention for Developing Countries,” Sex. Transm. Dis., vol. 40, no. 12, pp. 909–914, Dec. 2013. [4] L. B. Brown et al., “HIV partner notification is effective and feasible in sub-Saharan Africa: Opportunities for HIV treatment and prevention,” J. Acquir. Immune Defic. Syndr. 1999, vol. 56, no. 5, pp. 437–442, Apr. 2011. [5] D. Carnicer-Pont et al., “Use of new technologies to notify possible contagion of sexually-transmitted infections among men,” Gac. Sanit., vol. 29, no. 3, pp. 190–197, May 2015. [6] F. N. Dalle, F. L. Di, A. Sanfilippo, E. N. Dalle, N. Arena, and T. Prestileo, “Contact tracing and partner notification among a cohort of HIV-1 infected patients. A prospective study carried out in Palermo in 2012,” Recenti Prog. Med., vol. 105, no. 9, pp. 327–332, 2014. [7] M. J. Mimiaga et al., “HIV and STD status among MSM and attitudes about Internet partner notification for STD exposure,” Sex. Transm. Dis., vol. 35, no. 2, pp. 111–116, 2008. [8] S. Wayal, G. Hart, A. Copas, S. Edwards, and J. Cassell, “Sexual behaviour, partnership patterns and STI diagnoses among HIV/STIS transmission and partner notification,” 2012. [9] S. Wayal, J. Cassell, G. Scambler, G. Hart, and N. Low, “O5-S3. 05 Partner notification for STI And HIV: patients’ views and experiences of notifying partners,” Sex Transm Infect, vol. 87, no. Suppl 1, pp. A95–A96, 2011. [10] J. A. Levy and S. E. Fox, “The outreach-assisted model of partner notification with IDUs.,” Public Health Rep., vol. 113, no. Suppl 1, p. 160, 1998. [11] M. Doull et al., P04. 01 Similarities and differences in perceptions of models for online partner notification for sexually transmitted infections: potential users versus care providers. BMJ Publishing Group Ltd, 2015.
  • 7. International Journal of Scientific Research and Engineering Development-- Volume 2 Issue 6, Nov- Dec 2019 Available at www.ijsred.com ISSN: 2581-7175 © IJSRED: All Rights are Reserved Page 343 [12] C. Scott, A. Teague, A. Menon-Johanssen, R. Jones, and A. Sullivan, “A study to assess acceptability of partner notification via Short Message Service text messaging (SMS): P90,” Hiv Med., vol. 11, 2010. [13] W. S. Tan and T. W. Chio, P04. 03 Which partner notification method do patients prefer? results of a patient preference survey at the national sti clinic in singapore. BMJ Publishing Group Ltd, 2015. [14] M. Plotkin et al., “Effective, high-yield HIV testing for partners of newly diagnosed persons in Tanzania,” in Conference on Retroviruses and Opportunistic Infections. Boston, MA, USA, 2016.