Human Capital 2: Health
What is the relationship
between health and development?
Like education, both a means
and an ends.
As reflected in the HDI,
improved health care is an objective in and of itself for development.
Good health means people lead
fuller, happier lives.
Good health allows people to
improve their education, improve their incomes.
Again, we can return to the
Millennium Development Goals at http://millenniumindicators.un.org
Indicators
13.
Under-five mortality rate (UNICEF-WHO)
14.
Infant mortality rate (UNICEF-WHO)
15.
Proportion of 1 year-old children immunized against measles (UNICEF-WHO)
Target
6.
Reduce by three quarters, between 1990 and 2015, the maternal mortality
ratio
Indicators
16.
Maternal mortality ratio (UNICEF-WHO)
17.
Proportion of births attended by skilled health personnel (UNICEF-WHO)
Target
7
Have halted by 2015 and begun to reverse the spread of
HIV/AIDS
Indicators
18.
HIV prevalence among pregnant women aged 15-24 years (UNAIDS-WHO-UNICEF)
19. Condom use rate of the contraceptive prevalence rate (UN
Population Division)c
20. Ratio of
school attendance of orphans to school attendance of non-orphans aged 10-14
years (UNICEF-UNAIDS-WHO)
Target
8.
Have halted by 2015 and
begun to reverse the incidence of malaria and other major
diseases
Indicators
21.
Prevalence and death rates associated with malaria (WHO)
22. Proportion of population in malaria-risk
areas using effective malaria prevention and treatment measures (UNICEF-WHO)e
23. Prevalence and death rates
associated with tuberculosis (WHO)
24.
Proportion of tuberculosis cases detected and cured under DOTS (internationally
recommended TB control strategy) (WHO)
And there is some evidence that
things have gotten better for some of these (again doing the 1970, 1996
contrast)
|
|
Advanced |
SSA |
|
MENA |
|
Life
Expectancy |
71,
78 |
45,
51 |
52,
64 |
60,
71 |
|
Infant Survival Rate (per
1000) |
978,
994 |
868, 911
|
892,
944 |
907,
974 |
From the Unicef site, we see the overall
trend may mask country specific variation:
Under 5 mortality rate

Let us consider one aspect of
poor health that combines issues of poverty, vulnerability, and disease: malnutrition.
If people are not getting what
they need from food, they can be malnourished.
Mother’s nutrition has an
impact on child’s cognitive and physical development, both while the mother is pregnant and while the child is breastfeeding.
Malnutrition leads to problems
in intellectual development and physical dexterity.
Malnutrition makes people more
susceptible to diseases.

http://www.unicef.org/progressforchildren/2004v1/childSurvival2.php
Types of
malnutrition:
1)
Overnutrition
2)
Secondary malnutrition (unable to
absorb)
3)
Dietary deficiency or micronutrient
malnutrition (iodine, zinc missing)
4)
Protein-calorie
malnutrition
Measures of
undernutrition:
1)
Clinical assessment. Look for physical symptoms (such as
reddish hair and swollen belly for Kwashiorkor).
2)
Biochemical assessment. Draw blood and look for
anemia.
3)
Dietary assessment. Look at what people are eating and in
what quantities and identify gaps in the diet. Use either recall or
record.
4)
Anthropometric assessment. Weight for age, height for age, arm
circumference. Wasted (current
undernutrition); stunted (past undernutrition).
Estimates from the early 90’s
suggest 20% of the developing world’s population, over 800
million people, are undernourished.
Malnutrition is often a
contributing factor in death that is attributed to other
causes.
What is the impact of improved
health on economic growth?
One study (Bhargava et al., 2001) identifies a positive impact on
economic growth brought about by increased health as reflected in the adult
survival rate. This is after
attempting to control for reverse causality.
Impact is rather small
quantitatively.
In general, results suggest
that health impacts productivity.
Better health leads to higher wages. Early childhood health leads to later
higher productivity, and thus higher wages (people born later in the development
process are taller, and taller people earn more findings on 8.10, 8.11).
Early childhood health also
leads to increased education.
A different perspective on this
issue of from the disability adjusted life year (WHO).
The DALY is a health gap
measure, which combines information on the impact of premature death and the
disability and other non-fatal health outcomes.
One lost year of a healthy life
(rather than death as used in the survival rate studies).
Issues such as mental illness
and depression show up in DALY rankings that are not on the usual list of health
challenges.
Top 5 causes
of death and DALY, 1990. Worldwide.
|
|
DALY |
Death |
|
1 |
Lower respiratory
infections |
Heart
Disease |
|
2 |
Diarrheal diseases |
Cerebrovascular disease |
|
3 |
Perinatal conditions |
Lower Respiratory
infections |
|
4 |
Depression |
Diarrheal diseases |
|
5 |
Heart
disease |
Perinatal
conditions |
Bronchitis pneumonia strokes
Almost 90% of disease burden as
measured by DALY occurs in developing regions, where only 10% of health care
dollars are spent.
What types of diseases are on
the usual list of health challenges?
AIDS, TB, Malaria, Hepatitis B (A and C as well), Cholera, Typhoid, Parasitic
diseases, Acute Respiratory infections, diarrhea, measles…
Will income growth alone lead
to improved health?
Level of income is an imperfect
predictor of health care system performance. WHO (2000) study. At any given income level, there is wide
variation in health system performance.
However, the overall
correlation is positive and relatively high: GNP rank and Health system rank
=0.80.
Another issue: income
elasticities of demand for calories are often quite low.
Increased income does not
necessarily lead to improved nutrition.
Income elasticities of not so good for you food (soda, candy) is often
higher than unity. Income growth
may lead to a shift towards foods that lead to other nutritional problems
(recall overnutrition issue)
Micronutrient problems are also
increasingly recognized as an issue.
Table 8.12 suggests the link
between income per capita and life expectancy at birth is not all that
close.
Overall, GNP rank and life
expectancy (female) are correlated at 0.81, so again we have a reasonable
positive correlation, but some variation.
Sorted by income
quartile:
|
|
Health System score
(standard deviation within group) |
Female life expectancy
(standard deviation within group) |
|
Lowest |
0.42
(.16) |
52
(8) |
|
Second |
0.59
(.15) |
66
(10) |
|
Third |
0.69
(.14) |
72
(9) |
|
Highest |
0.86
(.12) |
78
(5) |
Broad pattern is that income
and health indicators are positively correlated, but there is a great deal of
variation within groups as well.
Will income growth lead to
better education, thus better health?
Education can also play a
critical conditioning factor here.
Better educated parents make better decisions and have healthier
children.
Many of the allocative questions such as we thought about with education
are issues here – clinics or national hospitals…
Also may have different health
issues associated with affluence.
Inequality at a given average
level of income may be an issue.
Figures 8.8, 8.9 indicate that
the death rate of children is influenced by household income class. The death rate for the
poorest 40% is triple that of the wealthiest 30%.
Within household inequality can
also be an issue, where age and gender specific distribution of resources
influences access.