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Lisa Marie Potter
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The study provides evidence that a country’s ability to reduce the gap in child-mortality rates is related to good governance.

The child-mortality gap has narrowed between the poorest and wealthiest households in a majority of more than 50 developing countries, a new study from the Stanford University School of Medicine has found.

This convergence was mostly driven by the fact that child-mortality rates declined the fastest among the poorest families. In the countries where the gap increased, the study identified a common thread: poor governance.

The findings provide important information for making decisions about prioritizing global health investments to effectively promote equity, said Eran Bendavid, MD, assistant professor of medicine, core faculty member at CHP/PCOR, and the study’s author.

The study, published online Nov. 10 in Pediatrics, analyzed data from nearly 1 million families living in 54 low- and middle-income countries to determine the relationship between mortality in children under the age of 5 and wealth inequality.

“In many countries, national wealth has increased hand-in-hand with increasing health inequality. That’s been a signature of our time,” Bendavid said. “It’s a pressing concern for many societies, especially in wealthy countries, but it’s also been an issue in low- and middle-income countries.”

Assessing child mortality within developing countries

Many studies have assessed the national child mortality trends in developing countries, but they say little about the mortality gap between the poorest and wealthiest within those countries. National trends could be associated with either narrowing or widening gaps between the poorest and wealthiest populations, Bendavid noted. For example, if child mortality decreases faster among the wealthy compared with the poor, the overall child-mortality rate in that country could decrease even as the mortality gap widens. Alternatively, if child mortality decreases faster among the poor, the health gap could narrow.

To fill this gap in knowledge, the study sought to understand whether developing countries are experiencing a widening or narrowing mortality-rate gap among children under 5 of the poorest and wealthiest families.

To compare wealth status and under-5 child mortality within a country, Bendavid used data from the demographic and health surveys for 1.2 million women living in 929,224 households in 54 developing countries. The women provided information about their children’s survival status. 

 “The people who conduct these surveys, they’re intrepid surveyors,” said Bendavid, who is also a core faculty member of Stanford Health Policy, which is part of the Freeman Spogli Institute for International Studies. “They reach remote villages up the Congo basin and in the Sahel in Niger, and track the heads of households and women for these in-depth interviews.”

The surveys include information about each woman’s birth histories, including detailed birth registries documenting millions of children. With this information, Bendavid could estimate the probability of a child dying before reaching age 5 per 1,000 live births.

Tallying household possessions

Determining each household’s wealth status was not as straightforward as reviewing annual income and tax returns, which don’t exist in the countries involved in the study. “These surveys tally the possessions in the household. What is the floor made of? What is the roof made of?” Bendavid said. “You can get a wide distribution of household possessions that reflects to a large degree the household wealth.”

Next, Bendavid developed a three-tier wealth index using the household assets. The three wealth categories were relative — poorest, middle and wealthiest.

To analyze trends in wealth status and under-5 mortality, Bendavid looked at all developing countries that had completed the surveys in two specific time frames: 2002-07 and 2008-12. The study found that the under-5 mortality rates among the poorest groups had decreased the most rapidly. The average decline was 4.36 deaths each year per 1,000 live births among the poorest, 3.36 among the middle and 2.06 among the wealthiest. Because the poorest group’s mortality rate is decreasing more quickly that the other groups, the gap in child-mortality rates is closing.

This is good news, Bendavid said. However, not all countries followed this same trend. In a quarter of the surveys examined by the study, inequality in under-5 mortality increased over time.

Bendavid found that four factors were present in countries with a narrowing child-mortality gap: government effectiveness, rule of law, control of corruption and regulatory quality. He found that the difference in mortality rates was significantly associated with the governance score: Better governance scores were related to greater convergence in mortality rates among the three wealth groups.

Benefits from controlling communicable diseases

Bendavid said the evidence in this study is consistent with gains in controlling communicable diseases, such as malaria, measles, diarrhea and respiratory illnesses, that preferentially affect the poorest. Over the past decade, international health aid organizations have financed interventions for these diseases at a high rate.

It makes a persuasive case that these improvements have often begun to benefit the poor even more than the better-off.

“Dr. Bendavid’s study is an important contribution to knowledge about child health improvements in the developing world,” said Davidson Gwatkin, a senior fellow at the Results for Development Institute and a senior associate at Johns Hopkins Bloomberg School of Public Health. “It makes a persuasive case that these improvements have often begun to benefit the poor even more than the better-off.” Gwatkin was not involved in the study.

The study also raises questions about the role of foreign aid institutions in low- and middle-income countries. While the aid efforts are making a difference in child-mortality rates in countries with effective governments, the study seems to show that this is not the case in nations with poor governance, Bendavid said.

“We have the technologies, we have the means, we have the know-how to reduce child mortality dramatically,” said Bendavid. “Even for such low-hanging fruit, however, implementation is not always easy. You have to have government that enables basic safety, and the ability to reach poor and rural communities that benefit from these kinds of programs.”

This work was supported by the National Institute of Allergy and Infectious Diseases (grant KOIAI084582), the Doris Duke Charitable Foundation and the Dr. George Rosenkranz Prize for Health Care Research in Developing Countries.

 Information about Stanford’s Department of Medicine, which also supported this research, is available at http://medicine.stanford.edu.

 

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Urbanization and obesity-related chronic diseases are cited as threats to the future health of India's older citizens. With 50% of deaths in adult Indians currently due to chronic diseases, the relationship of urbanization and migration trends to obesity patterns have important population health implications for older Indians. The researchers constructed and calibrated a set of 21 microsimulation models of weight and height of Indian adults. The models separately represented current urban and rural populations of India's major states and were further stratified by sex.

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Context  The effect of global health initiatives on population health is uncertain. Between 2003 and 2008, the US President's Emergency Plan for AIDS Relief (PEPFAR), the largest initiative ever devoted to a single disease, operated intensively in 12 African focus countries. The initiative's effect on all-cause adult mortality is unknown.

Objective  To determine whether PEPFAR was associated with relative changes in adult mortality in the countries and districts where it operated most intensively.

Design, Setting, and Participants  Using person-level data from the Demographic and Health Surveys, we conducted cross-country and within-country analyses of adult mortality (annual probability of death per 1000 adults between 15 and 59 years old) and PEPFAR's activities. Across countries, we compared adult mortality in 9 African focus countries (Ethiopia, Kenya, Mozambique, Namibia, Nigeria, Rwanda, Tanzania, Uganda, and Zambia) with 18 African nonfocus countries from 1998 to 2008. We performed subnational analyses using information on PEPFAR's programmatic intensity in Tanzania and Rwanda. We employed difference-in-difference analyses with fixed effects for countries and years as well as personal and time-varying area characteristics.

Main Outcome Measure  Adult all-cause mortality.

Results  We analyzed information on 1 538 612 adults, including 60 303 deaths, from 41 surveys in 27 countries, 9 of them focus countries. In 2003, age-adjusted adult mortality was 8.3 per 1000 adults in the focus countries (95% CI, 8.0-8.6) and 8.5 per 1000 adults (95% CI, 8.3-8.7) in the nonfocus countries. In 2008, mortality was 4.1 per 1000 (95% CI, 3.6-4.6) in the focus countries and 6.9 per 1000 (95% CI, 6.3-7.5) in the nonfocus countries. The adjusted odds ratio of mortality among adults living in focus countries compared with nonfocus countries between 2004 and 2008 was 0.84 (95% CI, 0.72-0.99; P = .03). Within Tanzania and Rwanda, the adjusted odds ratio of mortality for adults living in districts where PEPFAR operated more intensively was 0.83 (95% CI, 0.72-0.97; P = .02) and 0.75 (95% CI, 0.56-0.99; P = .04), respectively, compared with districts where it operated less intensively.

Conclusions  Between 2004 and 2008, all-cause adult mortality declined more in PEPFAR focus countries relative to nonfocus countries. It was not possible to determine whether PEPFAR was associated with mortality effects separate from reductions in HIV-specific deaths.

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Journal Articles
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Journal of the American Medical Association
Authors
Eran Bendavid
Eran Bendavid
Charles Holmes
Jay Bhattacharya
Jay Bhattacharya
Grant Miller
Grant Miller
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Objective: To assess the health literacy and numeracy skills of Spanish-speaking parents of young children and to validate a new Spanish language health literacy assessment for parents, the Spanish Parental Health Literacy Activities Test (PHLAT Spanish). Methods: Cross-sectional study of Spanish-speaking caregivers of young children (<30 months) enrolled at primary care clinics in 4 academic medical centers. Caregivers were administered the 10-item PHLAT in addition to validated tests of health literacy (S-TOFHLA) and numeracy (WRAT-3 Arithmetic). Psychometric analysis was used to examine item characteristics of the PHLAT-10 Spanish, to assess its correlation with sociodemographics and performance on literacy/numeracy assessments, and to generate a shorter 8-item scale (PHLAT-8). Results: Of 176 caregivers, 77% had adequate health literacy (S-TOFHLA), whereas only 0.6% had 9th grade or greater numeracy skills. Mean PHLAT-10 score was 41.6% (SD 21.1). Fewer than one-half (45.5%) were able to read a liquid antibiotic prescription label and demonstrate how much medication to administer within an oral syringe. Less than one-third (31.8%) were able to interpret a food label to determine whether it met WIC (Special supplemental nutrition program for Women, Infants, and Children) guidelines. Greater PHLAT-10 score was associated with greater years of education (r = 0.49), S-TOFHLA (r = 0.53), and WRAT-3 (r = 0.55) scores (P < .001). Internal reliability was good (Kuder-Richardson coefficient of reliability; KR-20 = 0.61). An 8-item scale was highly correlated with the full 10-item scale (r = 0.97, P < .001), with comparable internal reliability (KR-20 = 0.64). Conclusions: Many Spanish-speaking parents have difficulty performing health-related literacy and numeracy tasks. The Spanish PHLAT demonstrates good psychometric characteristics and may be useful for identifying parents who would benefit from receiving low-literacy child health information. Copyright © 2012 by Academic Pediatric Association.

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Publication Type
Journal Articles
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Academic Pediatrics
Authors
Yin, H.S.
Lee M. Sanders
Lee M. Sanders
Rothman, R.L.
Mendelsohn, A.L.
Dreyer, B.P.
White, R.O.
Finkle, J.P.
Prendes, S.
Perrin, E.M.
Authors
Erin Digitale
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Instilling healthy eating and exercise habits in children may help prevent obesity later in life. But which kids most need such obesity-prevention efforts? A recent study by Jeremy Goldhaber-Fiebert and colleagues at Stanford's School of Medicine showed that this question is harder to answer than it seems. The study, published earlier this year in Medical Decision Making, found that targeting obesity prevention to small children who are overweight might not be effective. That's because a higher-than-normal weight at age 5 provides an accurate predictor of adult obesity only 50 percent of the time.

Goldhaber-Fiebert, an assistant professor of medicine and core faculty member of Stanford Health Policy, discusses the problem.

What does your paper tell us about the recent focus on childhood and adolescent obesity measurements?

Our study has two take-home messages. First, while childhood obesity is an important problem, solving childhood obesity alone will not solve future adult obesity problems. Second, addressing future adult obesity will require broader societal measures — not simply interventions focused on obese children.

It used to be that no one worried much if a small child was chubby; the doctor might say, "It's baby fat, he'll grow out of it." How has that changed?

In fact, our data show that many children still do "grow out of it." But our findings suggest that it is difficult to predict whether this will happen for a specific child. Consequently, efforts to help obese children must be connected to broader efforts to create healthy diets and habits for all children.

Childhood obesity is concerning both because it presents increased health risks for individuals while they are children and also because of the fear that it will translate into serious adult obesity-related health issues. Our analyses show that targeting children who are already obese is unlikely to be sufficient in addressing broader public health challenges of obesity in later childhood, adolescence and adulthood.

Are there other more promising screening criteria for chronic adult obesity instead of using a child's weight?

It really depends on the purpose of screening. Researchers have identified a variety of characteristics to predict a child's future obesity status — for example, easily observed measures like the weight of a child's parent as well as more complex measures such as their size at birth and the rapidity with which they subsequently grew and gained weight.

The challenge is to have a measure that both does not miss a substantial fraction of those who become obese later on and also does not falsely predict obesity for a large number of those who do not become obese as adults. The trade-off between these two types of errors depends on the seriousness of health implications of obesity and the costs of treating health conditions once they arise, as well as the health and economic costs of delivering preventive interventions to people who are identified as being at risk of becoming obese regardless of whether they become obese in the future.

What are some of the best potential approaches for reducing childhood obesity if the entire population is being targeted?

Given that many health-related habits are developed in childhood, efforts to create healthy eating and exercise habits in children would seem to be beneficial. But for most potential interventions, we lack evidence of their widespread effectiveness over a long period of time. Do reductions in obesity persist from childhood into adulthood? Do they lead to measurable improvements in health outcomes? We do not have answers to these key questions.

Food, beverage or sugar taxes and other manipulations to food prices or availability may be effective, but may also have unintended harms and certainly come at the cost of curtailing personal choice. Re-engineering the built environment or nudging people with various behavioral/economic mechanisms have garnered attention though, again, widely generalizable evidence on them is lacking. The problem deserves continued creativity and ongoing evaluation and testing.

Your paper focuses on which obese children will become obese adults, yet we are seeing a growing number of children experiencing type-2 diabetes and other negative health consequences of being overweight before they're even out of their teen years. Is adult obesity the best endpoint to focus on?

Obesity-related conditions of childhood clearly should not be ignored. What we are concerned about is the sense that people were conflating good care for children to deal with their shorter-term health needs (i.e., childhood obesity management to deal with childhood health issues) and the belief that such an approach might largely solve the broader adult obesity issues. Addressing childhood obesity is still important even if it does not fix adult obesity and its deleterious health consequences.

Erin Digitale is the pediatrics writer for Stanford School of Medicine's Office of Communication and Public Affairs.

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Background: High childhood obesity prevalence has raised concerns about future adult health, generating calls for obesity screening of young children. 

Objective: To estimate how well childhood obesity predicts adult obesity and to forecast obesity-related health of future US adults. 

Design: Longitudinal statistical analyses; microsimulations combining multiple data sets. 

Data Sources: National Longitudinal Survey of Youth, Population Study of Income Dynamics, and National Health and Nutrition Evaluation Surveys.

Methods: The authors estimated test characteristics and predictive values of childhood body mass index to identify 2-, 5-, 10-, and 15 year-olds who will become obese adults. The authors constructed models relating childhood body mass index to obesity-related diseases through middle age stratified by sex and race.

Results: Twelve percent of 18-year-olds were obese. While screening at age 5 would miss 50% of those who become obese adults, screening at age 15 would miss 9%. The predictive value of obesity screening below age 10 was low even when maternal obesity was included as a predictor. Obesity at age 5 was a substantially worse predictor of health in middle age than was obesity at age 15. For example, the relative risk of developing diabetes as adults for obese white male 15-year-olds was 4.5 versus otherwise similar nonobese 15-year-olds. For obese 5-year-olds, the relative risk was 1.6. 

Limitation: Main results do not include Hispanics due to sample size. Past relationships between childhood and adult obesity and health may change in the future. 

Conclusion: Early childhood obesity assessment adds limited information to later childhood assessment. Targeted later childhood approaches or universal strategies to prevent unhealthy weight gain should be considered.

 

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Publication Type
Journal Articles
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Medical Decision Making
Authors
Jeremy Goldhaber-Fiebert
Jeremy Goldhaber-Fiebert
Rachel Rubinfeld
Jay Bhattacharya
Jay Bhattacharya
Thomas N. Robinson
Thomas N. Robinson
Paul H. Wise
Paul H. Wise
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0272989X12447240
Authors
Sarah L. Bhatia
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China’s demographic landscape is rapidly changing, and the government has responded by launching ambitious social and health service reforms to meet the changing needs of the country’s 1.3 billion people. This week, officials approved a five-year plan to develop a comprehensive nationwide social security network.

Karen Eggleston, the Asia Health Policy Program (AHPP) director and a Stanford Health Policy fellow, discusses the success of China’s health care reforms—including its recently established universal health care system—and the long road still ahead.

Why is the overall health and wellbeing of China’s population important globally?

There are many reasons why the health of China’s citizens matters within a larger global context. On the most basic level, China represents almost 20 percent of humanity. But it is also a major player in the world economy and it depends on having a healthy workforce, especially now that its population is aging more. The government’s ability to meet the needs of its underserved citizens contributes to a more productive and stable China, and works towards closing the huge gaps we see in human wellbeing across the world.

China also potentially offers a model for other developing countries, such as India, that may want to figure out how to make universal health coverage work at a tenth of the income of most of the countries that have put it into place before.

What are some of the biggest changes in China’s health care system since 1949?

One of the most significant changes is that China has achieved very basic universal health insurance coverage in a relatively short period of time.  

Throughout the Mao period (1949–1978) there was a health care system linked to the centrally planned economy, which provided a basic level of coverage via government providers with a lot of regional variation. When economic reform came in 1980, large parts of the system—particularly financing for insurance—collapsed. The majority of China’s citizens were uninsured during the past few decades of very rapid social and economic development.

China’s overall population is changing quite dramatically, which means it has different health care needs, such as treating chronic disease and caring for an increasingly elderly population. The central government is trying to establish a system of accessible primary care—a concept that China’s barefoot doctors helped to pioneer but that fell into disarray—and health services that fit these new needs. 

How does China’s basic health care system work? Are there segments of the population still not receiving adequate coverage and care?

China has had a system where people can select their own doctors. Patients usually want to go to clinics attached to the highest-reputation hospitals, but of course, when you are not insured you almost always by default go to where you can afford the care. “It is difficult to see the doctor, and it is expensive” has been the lament of patients in China, so an explicit goal of the health care reforms has been to address this.

The term “universal coverage” has different definitions. China initially put in place a form of insurance that only covers 20 or 30 percent of medical costs for the previously uninsured population, especially in rural areas. Benefits have expanded, but remain limited. As with the previous system, disparities in coverage still exist across the population. China not only has a huge population with huge economic differences, but within that there is a large migrant worker population. It is a challenge to figure out how to cover these citizens and how to provide them with access to better care. The government is quite aware there are segments of the population not receiving equal coverage, and it continues to strive to resolve the issue.  

What are the greatest innovations in China’s health care system in recent years?

One of the most remarkable things China has achieved is really its new health insurance system. Even if the current coverage is not particularly generous it is nearly universal, and mechanisms are put in place each year to provide more generous coverage. China is also working on strengthening its primary care and population health services, infusing a huge sum of government money into these efforts. It is the only developing country of its per-capita income that has achieved such results so far.

Interestingly, a lot of people assume China achieved its universal coverage by mandate, while in fact the central government did so by subsidizing the cost for local governments and individuals. This reduces the burden, for example, on poorer rural governments and residents, and is one innovative way China is trying to eliminate the disparity in access to care.

Eggleston has recently published a working paper on China’s health care reforms since the Mao era on the AHPP website, as well as an article in the Milken Institute Review.

Gordon Liu, a Chinese government advisor on health care and the executive director of Peking University’s Health Economics and Management Institute, spoke at Stanford on May 29 on the future of China’s health care system.

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To address growing concerns over childhood obesity, the United States Preventive Services Task Force (USPSTF) recently recommended that children undergo obesity screening beginning at age 6. An Expert Committee recommends starting at age 2. Analysis is needed to assess these recommendations and investigate whether there are better alternatives. We model the age- and sex-specific population-wide distribution of BMI through age 18 using National Longitudinal Survey of Youth (NLSY) data. The impact of treatment on BMI is estimated using the targeted systematic review performed to aid the USPSTF. The prevalence of hypertension and diabetes at age 40 are estimated from the Panel Study of Income Dynamics (PSID). We fix the screening interval at 2 years, and derive the age- and sex-dependent BMI thresholds that minimize adult disease prevalence, subject to referring a specified percentage of children for treatment yearly. We compare this optimal biennial policy to biennial versions of the USPSTF and Expert Committee recommendations. Compared to the USPSTF recommendation, the optimal policy reduces adult disease prevalence by 3% in relative terms (the absolute reductions are <1%) at the same treatment referral rate, or achieves the same disease prevalence at a 28% reduction in treatment referral rate. If compared to the Expert Committee recommendation, the reductions change to 6 and 40%, respectively. The optimal policy treats mostly 16-year olds and few children under age 14. Our results suggest that adult disease is minimized by focusing childhood obesity screening and treatment on older adolescents.

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Publication Type
Journal Articles
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Journal Publisher
Obesity
Authors
Wein, L.M
Yang, Y.
Jeremy Goldhaber-Fiebert
Jeremy Goldhaber-Fiebert
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