Gender Imbalance in China: A Cautionary Tale of Land Reform, Income, and Sex Ratios
Philippines Conference Room
Philippines Conference Room
We conducted a survey of 1707 children in 141 impoverished rural areas of Guizhou and Sichuan Provinces in Southwest China. Kato-Katz smear testing of stool samples elucidated the prevalence of ascariasis, trichuriasis and hookworm infections in pre-school and school aged children. Demographic, hygiene, household and anthropometric data were collected to better understand risks for infection in this population. 21.2 percent of pre-school children and 22.9 percent of school aged children were infected with at least one of the three types of STH. In Guizhou, 33.9 percent of pre-school children were infected, as were 40.1 percent of school aged children. In Sichuan, these numbers were 9.7 percent and 6.6 percent, respectively. Number of siblings, maternal education, consumption of uncooked meat, consumption of unboiled water, and livestock ownership all correlated significantly with STH infection. Through decomposition analysis, we determined that these correlates made up 26.7 percent of the difference in STH infection between the two provinces. Multivariate analysis showed that STH infection is associated with significantly lower weight-for-age and height-for-age z-scores; moreover, older children infected with STHs lag further behind on the international growth scales than younger children.
China’s New Cooperative Medical Scheme, launched in 2003, was designed to protect rural households from the financial risk posed by health care costs and to increase the use of health care services. This article reports on findings from a longitudinal study of how the program affected the use of health care services, out-of-pocket spending on medical care, and the operations and financial viability of China’s township health centers, which constitute a middle tier of care in between village clinics and county hospitals. We found that between 2005 and 2008 the program provided some risk protection and increased the intensity of inpatient care at township health centers. Importantly, the program appears to have improved the centers’ financial status. At the same time, the program did not increase the overall number of patients served or the likelihood that a sick person would seek care at a township center. These findings serve as a benchmark of the program’s early impact. The results also suggest that the composition of health care use in China has changed, with people increasingly seeking outpatient care at village clinics and inpatient care at township health centers.
The physiological factors underlying links between health and socioeconomic position in the Russian population are important to investigate. This population continues to face political and economic challenges, has experienced poor general health and high mortality for decades, and has exhibited widening health disparities. Dr. Dana A. Glei and colleagues used data from a population-based survey of Moscow residents 55 and older to investigate whether physiological dysregulation mediates the link between socioeconomic status and health. She will discuss the the results of their study, which revealed large educational disparities in health outcomes and physiological dysregulation, especially in men.
Dana A. Glei is a senior research investigator at Georgetown University and has worked on the Social Environment and Biomarkers of Aging Study (Taiwan) since 2001. From 2002 to 2009, she also served as project coordinator for the Human Mortality Database, a collaborative project involving research teams at the University of California, Berkeley and the Max Planck Institute for Demographic Research. Over the past 18 years, she has published articles on a variety of topics related to health, mortality, marriage and the family, and poverty. Her current research focuses on sex differences in health and mortality, the impact of stressors on subsequent health, and how bioindicators mediate the links between psychosocial factors and health outcomes. She has an MA from the University of Virginia and a PhD from Princeton University.
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Stanford, CA
Ivar S. Kristiansen is a professor of public health at the Department of Health Management and Health Economics, University of Oslo, Norway and adjunct professor of pharmacoeconomics at the University of Southern Denmark at Odense. He is visiting scholar at Stanford Health Policy 2011-12.
Kristiansen’s research focuses on technology assessment, cost-effectiveness analysis, and valuation of health outcomes. Also, he has worked for many years on the topic of risk communication in the context of chronic diseases when time is a crucial factor. He is one of the founders of Odense Risk Group.
Kristiansen received an MD from the University of Oslo in 1972, completed his internship at the University Hospital of Trondheim and then worked for 10 years as a combined family physician/public health officer in two remote communities in Norway. He received an MPH degree from Harvard University i 1986 and a PhD from University of Tromsø, Norway in 1996. Kristiansen is a past-President of the Norwegian Public Health Association and has served on numerous public committees in Norway.
Few studies have examined the link between health system strength and important public health outcomes across nations. We examined the association between health system indicators and mortality rates.
We used mixed effects linear regression models to investigate the strength of association between outcome and explanatory variables, while accounting for geographic clustering of countries. We modelled infant mortality rate (IMR), child mortality rate (CMR), and maternal mortality rate (MMR) using 13 explanatory variables as outlined by the World Health Organization.
Significant protective health system determinants related to IMR included higher physician density (adjusted rate ratio [aRR] 0.81; 95% Confidence Interval [CI] 0.71-0.91), higher sustainable access to water and sanitation (aRR 0.85; 95% CI 0.78- 0.93), and having a less corrupt government (aRR 0.57; 95% CI 0.40- 0.80). Out-of-pocket expenditures on health (aRR 1.29; 95% CI 1.03- 1.62) were a risk factor. The same four variables were significantly related to CMR after controlling for other variables. Protective determinants of MMR included access to water and sanitation (aRR 0.88; 95% CI 0.82- 0.94), having a less corrupt government (aRR 0.49; 95%; CI 0.36- 0.66), and higher total expenditures on health per capita (aRR 0.84; 95% CI 0.7 0.92). Higher fertility rates (aRR 2.85; 95% CI: 2.02- 4.00) were found to be a significant risk factor for MMR.
Several key measures of a health system predict mortality in infants, children, and maternal mortality rates at the national level. Improving access to water and sanitation and reducing corruption within the health sector should become priorities.
Clinical practice guidelines aim to help providers make decisions that optimize patient care (1). Both developers and users of guidelines understand that guidelines could be improved by tailoring the recommendations to the specific circumstances of an individual patient. Tailored guideline recommendations may improve health outcomes when a group of patients can be divided into subgroups in which the tailored recommendations would increase benefits, reduce harms, or save costs relative to more generic recommendations. For example, a guideline for hypertension may recommend antihypertensive treatment in patients whose blood pressure is higher than 140/90 mm Hg. However, patients with diabetes or high cardiovascular risk may benefit from receiving treatment at lower blood pressures, whereas other patients may benefit from less aggressive treatment.
However, for both guideline developers and clinicians, tailoring recommendations is easier said than done. Developers of guidelines face a difficult tradeoff: Issue simplified, easy-to-follow guidelines or, instead, guidelines targeted more precisely to each patient, at the cost of greater complexity and more challenging implementation. In addition, little evidence may exist to guide how to tailor recommendations, because trials may exclude patients who have the comorbid conditions and other factors that would warrant tailoring a recommendation.
Clinicians also may have far more information about an individual patient than even complex guidelines can accommodate. Should a patient with atrial fibrillation receive guideline-concordant anticoagulation therapy even if he or she is at increased risk for falls? Such …
This 100-word excerpt has been provided in the absence of an abstract.
OBJECTIVE: To develop a set of quality-of-care indicators for the management of children with sickle cell disease (SCD) who are cared for in a variety of settings by addressing the broad spectrum of complications relevant to their illness.
METHODS: We used the Rand/University of California Los Angeles appropriateness method, a modified Delphi method, to develop the indicators. The process included a comprehensive literature review with ratings of the evidence and 2 rounds of anonymous ratings by an expert panel (nominated by leaders of various US academic societies and the National Heart, Lung, and Blood Institute). The panelists met face-to-face to discuss each indicator in between the 2 rounds.
RESULTS: The panel recommended 41 indicators that cover 18 topics; 17 indicators described routine health care maintenance, 15 described acute or subacute care, and 9 described chronic care. The panel identified 8 indicators most likely to have a large positive effect on improving quality of life and/or health outcomes for children with SCD, which covered 6 topics: timely assessment and treatment of pain and fever; comprehensive planning; penicillin prophylaxis; transfusion; and the transition to adult care.
CONCLUSIONS: Children with SCD are at risk for serious morbidities and early mortality, yet efforts to assess and improve the quality of their care have been limited compared with other chronic childhood conditions. This set of 41 indicators can be used to assess quality of care and provide a starting point for quality-improvement efforts.