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Chapter 19 Lecture Notes.pptx
1. The Symbolic Interactionist Perspective
19.1 Explain why health and illness are culturally relative, not absolute matters.
• The Role of Culture in Defining Health and Illness
• The Components of Health
2. The Role of Culture in Defining Health and
Illness
• People are defined by cultural guidelines
• “Sickness” and “health” are a matter of cultural
definition
3. The Components of Health
• Physical
• Mental
• Social
• Spiritual
4. Figure 19.1 A Continuum of Health and Illness
A graphic representation of four components of wellness on continua.
Source: World Health Organization 1946; modified by the author.
5. The Functionalist Perspective
19.2 Summarize the sick role: its elements, ambiguity, gatekeepers, and gender differences.
• The Sick Role
• Elements of the sick role
• Ambiguity in the sick role
• Gatekeepers to the sick role
• Gender differences in the sick role
6. The Conflict Perspective
19.3 Explain how health care is part of the struggle over scarce resources.
• Global Stratification and Health Care
• Establishing a Monopoly on U.S. Health Care
7. Global Stratification and Health Care
Global stratification in
health care is starkly
evident in this photo
of mental health
patients in a "mental
health center" in
Mogadishu, Somalia.
8. Figure 19.2 How Many Babies Die Before Their
First Birthday?
Bar chart comparing
the infant mortality
rates of several
nations with the U.S.
Note: Infant mortality is the number of babies that die before their first birthday, per
1,000 live births. Belgium, Czech Republic, and Greece have lower infant mortality rates
than that of the United States, but they have been dropped from the source.
Source: By the author. Based on Statistical Abstract of the United States 2017:Table 1349.
10. Establishing a Monopoly on U.S. Health Care
Forget Oprah and Weight
Watchers. So much more
effective--and easier--in
the 1800s. Just swallow
"sanitized" tape worms and
eat all you want. No ill
effects from these "friends
of fair form" (slender
shape), says this ad, which
provides marvelous insight
into health care at this
time.
11. Historical Patterns of Health
19.4 Discuss changes in causes of death and whether Americans were healthier in the past.
• Physical Health
• Mental Health
12. Figure 19.3 The Top Ten Causes of Death in
the United States, 1900 and Now
Bar chart showing what changed
in the typical causes of death in
100-plus years.
Sources: By the author. 1900 data
from CDC 2009. Current data from
Statistical Abstract of the United
States 2017:Table 129.
13. Mental Health
• Glorifying the past
• More mental illness today is perception, not reality
• Hard to measure
14. Issues in Health Care (1 of 2)
19.5 Discuss medical care as a right or a commodity, increasing costs, social inequality, lawsuits, incompetence, fraud,
conflict of interest, depersonalization, sexism, racism, the medicalization of society, physician-assisted suicide, and
attempts to reduce cost.
• Medical Care: A Right or a Commodity?
• Skyrocketing Costs
• Social Inequality
• Reducing Inequalities: Health Care Reform
• Malpractice Lawsuits and Defensive Medicine
• Medical Incompetence
15. Issues in Health Care (2 of 2)
• Depersonalization: The Medical Cash Machine
• Conflict of Interest
• Medical Fraud
• Sexism and Racism in Medicine
• Medicalization of Society
• Medically Assisted Suicide
• Reducing the Costs of Medical Care
16. Medical Care: A Right or a Commodity?
• A right means equal access to all
• A commodity means the rich will have access and the
poor will be denied
• In the U.S. medical care is a commodity
17. Figure 19.4 The Soaring Cost of Medical Care:
Annual Costs per American
Note: This is the national medical bill divided by the total population. Each year, in addition to insurance
payments, the average American pays $919 out-of-pocket (Statistical Abstract of the United States 2017:Tables
14, 144). The average family of four lays out $3,676 a year, plus whatever they pay for insurance.
Source: By the author. Based on Statistical Abstract of the United States 2017:Table 146 and earlier years.
18. Social Inequality and Reducing Inequalities
Health Care Reform
• Social Inequality
• A two-tier system
• Reducing Inequalities: Health care reform
• The Affordable Care Act and its aftermath
19. Figure 19.5 What Having a Baby Used to Cost
This was the total
of a typical
hospital bill for
childbirth in the
early 1960s.
20. Figure 19.6 Income and Days Sick in Bed
Bar graph depicting relative proportion of sick days claimed per year according to income.
representative sample of adults age 18 and over was asked some form of this question.
Source: By the author. Based on Centers for Disease Control and Prevention 2016a:Table A-9.
1
A nationally
21. Malpractice Lawsuits and Defensive
Medicine
• From “people make mistakes,” to “I wonder if this is
the one who is going to turn around and sue me.”
22. Medical Incompetence
• Each day in the United States, there are about a dozen
wrong-patient, wrong-side, or wrong-procedure
surgeries
• 1 percent of doctors account for one-third of all medical
malpractice claims
23. Depersonalization: The Medical Cash Machine
• Patient as object
• Feelings are overpowered by the need to be efficient
25. Medical Fraud
• White collar crime; beyond loss of money
• A scam not likely to be caught
26. Sexism and Racism in Medicine
• Downplaying women’s complaints
• Unnecessary hysterectomies
• Racism and surgery
27. The Medicalization of Society
• Medical treatment for everything
• Theoretical perspectives
• Symbolic Interactionism
• Functionalism
• Conflict Perspective
29. Reducing the Costs of Medical Care
• HMOs (Health Maintenance Organizations)
• DRGs (Diagnostic-Related Groups)
• Pay-as-you-go clinics
• Group care
• Off-site health clinics
30. Thinking Critically About Social Life
Who Should Live, and Who Should Die? The Dilemma of
Rationing Medical Care
Advanced medical
technology is a major
reason for the high costs of
medical care. These two
patients are undergoing
dialysis, a treatment for
kidney failure, at a cost of
$65,000 a year each. The
annual bill for the 650,000
dialysis patients in the U.S.
is $42 billion.
31. Threats to Health
19.6 Discuss threats to health: alcohol and nicotine, medical errors, HIV/AIDS, weight, disabling
environments, medical experiments, globalization of disease, and treatment or prevention.
• Alcohol and Nicotine
• Medical Errors
• HIV/AIDS
• Weight: Too Much and Too Little
• Disabling Environments
• Medical Experiments: Callous and Harmful
• Chicken Bones and the Globalization of Disease
32. Alcohol and Nicotine (1 of 6)
Table 19.1 What Drugs Do High School Seniors Use?
Blank
In the Past Month? In the Past Year?
Alcohol 33.2% 55.6%
How many have been drunk? 20.4% 37.3%
Marijuana/Hashish 22.5% 35.6%
Nicotine (cigarettes) 10.5% NA
E-cigarettes 12.5% NA
OxyContin 3.4% NA
Amphetamines 3.0% 6.7%
Adderall NA 6.2%
Ritalin NA 1.2%
33. Alcohol and Nicotine (2 of 6)
Table 19.1 [continued]
Blank
In the Past Month? In the Past Year?
Tranquilizers 1.9% 4.9%
Barbiturates (sedatives) 1.5% 3.0%
Hallucinogens superscript 1 1.4% 4.3%
Ecstasy (MDMA) 0.9% 2.7%
LSD 1.0% 3.0%
Cocaine 0.9% 2.3%
Steroids 0.7% 1.0%
Heroin 0.2% 0.3%
than LSD.
Source: By the author. Based on Johnston et al 2017:Tables 6, 7.
1
Hallucinogens
1
Other
34. Alcohol and Nicotine (3 of 6)
Moderate drinking of
alcohol brings health
benefits. Heavy drinking
harms health. Excessive
drinking also leads to
other forms of harm,
such as what you see in
this photo.
35. Alcohol and Nicotine (4 of 6)
Table 19.2 What Drugs Do Full-Time College Students Use?
Blank
In the Past
Month?
Men
In the
Past
Month?
Women
In the Past
Year? Men
In the
Past Year?
Women
Alcohol 63.9% 62.7% 78.7% 79.2%
How many have been drunk? 44.4% 34.4% 64.1% 60.0%
Marijuana 25.5% 18.5% 40.2% 36.6%
Nicotine (cigarettes) 15.5% 8.8% 24.9% 17.2%
Amphetamines 6.6% 2.7% 13.2% 7.7%
Adderall NA NA 14.8% 8.1%
Ritalin NA NA 3.2% 1.2%
Cocaine 2.8% 0.7% 6.4% 3.0%
36. Alcohol and Nicotine (5 of 6)
Table 19.2 [continued]
Blank
In the Past
Month? Men
In the Past
Month? Women
In the Past
Year? Men
In the Past
Year? Women
Hallucinogens superscript 1
1.9% 1.1% 4.8% 2.0%
Ecstasy (MDMA) 0.8% 0.7% 5.0% 3.7%
LSD 0.7% 0.8% 4.9% 2.0%
Tranquilizers 1.6% 1.6% 5.1% 3.8%
OxyContin NA NA 3.2% 0.4%
Barbiturates (sedatives) 0.4% 1.4% 2.4% 2.2%
Heroin 0.0%** 0.1% 0.3% 0.1%
than LSD.
** Not actually zero, but too small to show up.
NA = Not Available.
Source: By the author. Based on Johnston et al. 2016: Tables 8-2, 8-3.
1
Hallucinogens
1
Other
37. Alcohol and Nicotine (6 of 6)
A Joe Camel ad. He has
since been banned from
advertising.
38. Figure 19.7 Who Is Still Smoking?
Bar graph
showing the
decrease in both
male and female
smokers over
time in the U.S.
Note: The first year these data were reported was 1965; 1970 and 1980 are averages of the closest
preceding years where data were available.
Source: By the author. Based on Statistical Abstract of the United States 1996:Table 222; 2017:Table
214; CDC 2017.
40. Figure 19.8 The Path of AIDS in the U.S.
Bar graph showing changes in the number of AIDS diagnoses and deaths in the United States over time.
Source: By the author. Based on CDC 2003:Table 21; 2016b:Tables 1a, 12a.
41. Figure 19.9 AIDS: A Global Glimpse
Bar graph showing the prevalence of AIDS in various parts of the world.
Source: By the author. Based on UNAIDS 2016; Haub et al 2016.
42. Figure 19.10 How Americans Get AIDS
Pie charts depicting the
differing proportions in sources
of AIDS for males and females.
Note: There is another
category, “Other,” consisting of
blood transfusions and
unknown, but it is too small to
show: just 36 males and 15
females.
Source: CDC 2016b:Table 1a.
43. Figure 19.11 New Diagnoses of HIV by Race–
Ethnicity
Pie charts showing disproportion in HIV-positive status across racial-ethnic groups in
the United States.
Note: Data are for 2015, the latest year available.
Source: By the author. Based on Figure 12.4 of this text and CDC 2016b:Table 1a.
44. HIV/AIDS
With HIV/AIDS devastating
swaths of Africa, attention-
getting devices are being
used to increase awareness
of the need to use condoms.
This photo of a mannequin
wearing a hat made of red
condoms was taken in
Durban, South Africa.
45. Weight: Too Much and Too Little
• Harmful to be obese
• Helpful to be slightly overweight
47. Medical Experiments: Callous and Harmful
(1 of 2)
• The Tuskegee syphilis experiment
• The Guatemalan experiment
• Cold War experiments
• Playing God
48. Medical Experiments: Callous and Harmful
(2 of 2)
These men were
among the 399 men in
the syphilis
experiment that ran
for 40 years in the
segregated South. This
photo was taken in the
1950s in Tuskegee,
Alabama.
49. Chicken Bones and the Globalization of
Disease
• The threat of disease
• The potential for superbugs
â–Ş Example: Ebola
• Failing to contain disease in poverty nations
• Travel and the spread of disease globally
• Predicting disease outbreaks?
50. Treatment or Prevention?
19.7 Explain why it is difficult to change the focus from the treatment of illness to the
prevention of illness.
• Lifestyle
• Down a road to disease and illness
… or to health and wellness
51. The Future of Medicine
19.8 Discuss how alternative medicine and technology are likely to affect the future of
medicine.
• Alternative (Nontraditional) Medicine
• Technology
53. Technology
Telemedicine, a result of
changing technology, is
becoming more common.
In these photos from
France, you can see a
family doctor guiding a
consultation with a
medical specialist.
Editor's Notes
At one end of the arrows is poor functioning, representing illness, and at the other end is excellent functioning, representing health.
"The x-axis represents the number of deaths per 1,000 live births. The y-axis represents different countries. The data depicted by the graph in terms of the number of deaths per 1,000 live births for the different countries is as follows:
Japan: 2.1, South Korea: 3.0, France: 3.3, Italy: 3.3, Spain: 3.3, Germany: 3.4, Holland: 3.6, Australia:4.4, Great Britain: 4.4, Taiwan: 4.4, Poland:4.5, Canada: 4.7, United States: 5.9."
"On the x-axis are the ranks 1 to 10 of diseases; 1 being the highest and 10 being the lowest cause in the top 10 causes of diseases. On the y-axis are the percentage of deaths caused due to diseases starting from 0% to 30% in increments of 10. The data shown in the graph is as follows:
Rank 1: Year 1900, Pneumonia (12%); Today, Heart disease (28%)
Rank 2: Year 1900, Tuberculosis (10%); Today, Cancer (22%)
Rank 3: Year 1900, Diarrhoea (8%); Today, Respiratory diseases (5%)
Rank 4: Year 1900, Heart disease (8%), Today, Accidents (4%)
Rank 5: Year 1900, Strokes (4%); Today, Strokes (4.5%)
Rank 6: Year 1900, Kidney disease (4%); Today, Alzheimer's disease (2%)
Rank 7: Year 1900, Accidents (4%); Today, Diabetes (2%);
Rank 8: Year 1900, Cancer (3.5%); Today: Pneumonia and flu (2.5%)
Rank 9: Year 1900, Senility (3%); Today, Kidney disease (2%)
Rank 10: Year 1900, Diphtheria (1.8%); Today, Suicide (1%)
Note: Percentages of deaths are approximate values.
"
On the x-axis are the number of days people were sick in bed and the y-axis shows family income. The data represented by the graph is as follows (in terms of income vs. number of days sick): Under $35,000: 8.6 days, $35,000 to $50,000: 5.4 days, $50,000 to $75,000: 4.4 days, $75,000 to $100,000 3.9 days, and more than $100,000: 3 days.
The total bill amount is $113.85, which includes general care ($54), operating room ($10), anesthetic ($2.50), medicines ($3.10), surgical dressings ($2.25), delivery room ($20), laboratory ($3), nursery ($18), and bracelet ($1).
The x-axis represents the annual cost of medical care starting from $0 to $12,000 in increments of $500 and the y-axis represents the years from 1960 to 2020 in increments of 5. The graph shows an exponential increase in the annual cost of medical income starting from approximately $200 in 1960 and reaching up to $9,000 in 2015, represented by a solid curved line. From year 2015 to 2020, the graph continues in a similar pattern with the annual cost reaching a predicted value of $12,000 in 2020, represented by a dotted line.
The y-axis represents the percentage of Americans who smoke cigarette and ranges from 0 to 60% in increments of 10%. The x-axis represents different years from 1965 to 2015 with a kink between year 2010 and 2015. For each year, there are two bars, one for women and the other for men. The data depicted in the graph is as follows:
1965: Men, 52%; Women 34%
1970: Men, 48%; Women 33%
1980: Men, 37%; Women 30%
1990: Men, 28%; Women 23%
2000: Men, 25%; Women 21%
2010: Men, 21%; Women 18%
2015: Men, 17%; Women 14%.
"The data depicted in the graph is as follows:
In 1981, there are a negligent number of new cases reported and no deaths were reported. In 1982, 1,000 new cases were reported and 500 deaths were reported. In 1983, 2,000 new cases were reported and 1,200 deaths were reported. After 1983, the number of new cases and deaths reported keep increasing consistently, reaching 60,000 new cases and 38,000 deaths in 1991. After, 1991, there is a steep increase in the number of new cases, reaching around 80,000 in 1992 and the number of deaths reported increase to 42,000. In 1993, the number of new cases reported was 81,000 and the number of deaths reported was 46,000. From 1993 to 1998, there is a gradual decrease in both the numbers with the number of new cases reported reaching 41,000 and the number of deaths reported reaching 18,000 in 1998. In 1999, there is a slight decrease and the number of new cases reported was 40,000 while the number of deaths reported was 17,900. From, 1999 to 2001, both the number of new cases reported and the number of deaths reported remain almost constant. After 2001, there is a slight decrease in the number of new cases reported, reaching 35,000 in 2004, while the number of deaths reported remains around 17,900. From 2004 to 2006, there is a slight increase in the number of new cases reported while the number of deaths reported decrease. In 2006, the number of new cases reported was 38,000 while the number of deaths reported was 14,000. From 2006 to 2010, both the number of new cases and the number of deaths reported remain almost constant. In 2011, the number of new cases reported decrease to 32,000 while the number of deaths reported increase slightly to 15,000. From 2011 to 2013, there is a gradual increase in the number of new cases reported while the number of deaths reported keeps decreasing. In 2013, the number of new cases reported was around 40,000 while the number of deaths reported was around 11,000. From 2013 to 2015 both the number of new cases and the number of deaths reported remain almost constant.
"The x-axis represents percentage and the y-axis represents different continents. The data depicted by the graph is as follows:
Africa: Percent of the world’s AIDS cases, 70%; Percent of the world’s population, 16%
Asia: Percent of the world’s AIDS cases, 14%; Percent of the world’s population, 60%
Europe: Percent of the world’s AIDS cases, 8%; Percent of the world’s population, 10%
Central and South America: Percent of the world’s AIDS cases, 5%; Percent of the world’s population, 8%
North America: Percent of the world’s AIDS cases, 3%; Percent of the world’s population, 5%.
"
"The data depicted in the two pie charts is as follows:
Males: Homosexual sex, 83%; Heterosexual sex, 9%; Drug injection, 4%; Homosexual sex and drug injection, 4%
Females: Heterosexual sex, 87%; Drug injection, 13%
"
"The data depicted in the two pie charts is as follows:
Percentage of U.S. population:
Whites, 61%; Latinos, 17%; African Americans, 13%; Asian Americans, 5%; Native Americans, 1%; Claim more than one race-ethnicity, 2.5%
Percentage of new HIV cases:
Whites, 26.6%; Latinos, 23.6%; African Americans, 44.8%; Asian Americans, 2.4%; Native Americans, 0.5%; Claim more than one race-ethnicity, 2.5%
"