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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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Adam Gorlick
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As incomes rise around the world, health experts expect a more troubling figure to increase as well: the number of diabetics in developing countries.

In China and India – two of the world’s most populous nations with fast-paced economies – the prevalence of diabetes is expected to double by 2025. Between 15 and 20 percent of their adult population will develop the disease as household budgets increase, diets change to include more calories and new health problems emerge.

But China, India and other developing countries are not fully prepared to deal with the rising trend of diabetes. And a growing number of diabetics aren’t getting the care they need to prevent serious complications, Stanford researchers say.

Even with insurance, many diabetics don’t have essential medications that could help them manage their conditions. In many cases, people are spending a great deal of their household incomes to pay for their treatment, said Jeremy Goldhaber-Fiebert, an assistant professor of medicine who led the research team.

“Public and private health insurance programs aren’t providing sufficient protection for diabetics in many developing countries,” said Goldhaber-Fiebert, a faculty member at Stanford Health Policy at the university’s Freeman Spogli Institute for International Studies. “People with insurance aren’t doing markedly better than those who don’t have it. Health insurance and health systems need to be re-oriented to better address chronic diseases like diabetes.”

Findings from the study are online and will be published in the Jan. 24 edition of Diabetes Care, the journal of the American Diabetes Association. The journal article was co-authored by Jay Bhattacharya, an associate professor of medicine and Stanford Health Policy faculty member; and Crystal Smith-Spangler, an instructor at Stanford’s Department of Medicine and an investigator at the Palo Alto VA Health Care System.

Failure to adequately manage diabetes will lead to more severe health problems like blindness, heart disease and kidney failure. It also harms the otherwise healthy, Goldhaber-Fiebert said.

Diabetes often strikes people at an age when they’re taking care of children and elderly parents. To sideline these primary caretakers as dependants will lead to a heavy burden for communities and create an obstacle for economic growth, he added.

Using responses to a global survey conducted by the World Health Organization in 2002 and 2003, Goldhaber-Fiebert and his colleagues examined data from 35 low- and middle-income countries in Asia, Latin America, Africa and Eastern Europe to determine whether diabetics with insurance were more likely to have medication than those without insurance.

They also wanted to know whether insured diabetics have a lower risk of “catastrophic medical spending,” a term the researchers define as spending more than 25 percent of a household income on medical care.

“Surprisingly, diabetics with insurance were no more likely to have the medications they need than uninsured diabetics,” Goldhaber-Fiebert said. “They were also no less likely to suffer catastrophic medical spending.”

There are many reasons why health insurance may not protect diabetics in developing countries against high out-of-pocket spending. In some cases, there’s a lack of sufficient medication – such as insulin – that regulate glucose levels. Without those drugs, there’s a greater risk of complications that often lead to more hospitalizations and more expenses.

In other cases, co-payments and deductibles are too high. Sometimes, drugs and medical services to prevent diabetes complications are not covered. And doctors and hospitals don’t always accept insurance.

“Better policies are needed to provide sufficient protection and care for diabetics in the developing world,” Goldhaber-Fiebert said.

Without medications to manage diabetes and prevent secondary complications, the condition will worsen and the burden of catastrophic spending will increase, he said.

“It’s important to get ahead of the curve and prepare so there’s an infrastructure in place to deal with these health and cost issues,” he said.

While preventing diabetes in the first place would be ideal, programs and policies must be established to care for the many cases that will surely continue to exist.

“There isn’t a single country that’s managed to entirely arrest or reverse the trend of diabetes,” he said. “Programs that focus on primary prevention are extremely important, but the reality is that the developing world faces hundreds of millions of diabetes cases that are unlikely to all be prevented.”

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Author information: IOM (Institute of Medicine) and NRC (National Research Council). (Committee: Goldstein BD, DeSimone JM, Ascher MS, Buehler JW, Cook KS, Crouch NA, Doyle FJ, Foldy S, Gursky EA, Hoffman S, Johnson CB, Keim P, Kellerman AL, Kleinman KP, Layton M, Lee EK, Mayor SD, Moshier TF, Murphy FA, Murray RW, Owens DK, Pollock SM, Resnick IG, Schaudies RP, Schultz JS)

Following the attacks of September 11, 2001 and the anthrax letters, the ability to detect biological threats as quickly as possible became a top priority. In 2003 the Department of Homeland Security (DHS) introduced the BioWatch program--a federal monitoring system intended to speed detection of specific biological agents that could be released in aerosolized form during a biological attack. 

The present volume evaluates the costs and merits of both the current BioWatch program and the plans for a new generation of BioWatch devices. BioWatch and Public Health Surveillance also examines infectious disease surveillance through hospitals and public health agencies in the United States, and considers whether BioWatch and traditional infectious disease surveillance are redundant or complementary.

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National Academies Press
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Douglas K. Owens
Douglas Owens
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0-309-13971-6
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American Journal of Public Health
Authors
John W. Finney
Keith Humphreys
Keith Humphreys
Daniel R. Kivlahan
Alex H.S. Harris
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Background. The effect of antiretroviral therapy (ART) interruption or intensification on health-related quality of life (HRQoL) in advanced HIV patients is unknown.

Objective. To assess the impact of temporary treatment interruption and intensification of ART on HRQoL.

Design. A 2 x 2 factorial open label randomized controlled trial.

Setting. Hospitals in the United States, Canada, and the United Kingdom.

Patients. Multidrug resistant (MDR) HIV patients.

Intervention. Patients were randomized to receive a 12-wk interruption or not, and ART intensification or standard ART.

Measurements. The Health Utilities Index (HUI3), EQ-5D, standard gamble (SG), time tradeoff (TTO), visual analog scale (VAS), and the Medical Outcomes Study HIV Health Survey (MOS-HIV).

Results. There were no significant differences in HRQoL among the four groups during follow-up; however, there was a temporary significant decline in HRQoL on some measures within the interruption group during interruption (HUI3 −0.05, P = 0.03; VAS −5.9, P = 0.002; physical health summary −2.9, P = 0.001; mental health summary −1.9, P = 0.02). Scores declined slightly overall during follow-up. Multivariate analysis showed significantly lower HRQoL associated with some clinical events.

Limitations. The results may not apply to HIV patients who have not experienced multiple treatment failures or who have not developed MDR HIV.

Conclusions. Temporary ART interruption and ART intensification provided neither superior nor inferior HRQoL compared with no interruption and standard ART. Among surviving patients, HRQoL scores declined only slightly over years of follow-up in this advanced HIV cohort; however, approximately one-third of patients died during the trial follow up. Lower HRQoL was associated with adverse clinical events.

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Medical Decision Making
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Vilija Joyce
Paul G. Barnett
Adam Chow
Ahmed M. Bayoumi
Susan C. Griffin
Huiying Sun
Mark Holodniy
Mark Holodniy
Sheldon T. Brown
Tassos C. Kyriakides
D. William Cameron
Mike Youle
Mark Sculpher
Aslam H. Anis
Douglas K. Owens
Douglas K. Owens
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OBJECTIVE: Some argue that health plans have minimal impacts on quality of care and that quality data collection should focus only on physician organizations. We investigate the relative impact of physician organizations and health plans on quality measures.

DESIGN: Statistical analysis of data on 9 Healthcare Effectiveness Data and Information Set (HEDIS) measures from 6 health plans and 159 provider organizations. We use regression analyses to examine the amount of variation in HEDIS measures accounted for by variation across provider organizations, and whether accounting for health plans explains additional variation. We also examine whether accounting for provider organizations explains away variation in HEDIS scores across health plans.

SETTING: Six health plans and 159 contracted provider groups in California.

MAIN OUTCOME MEASURES: Nine HEDIS scores.

RESULTS: For all nine measures studied, variation across provider organizations explains much of the HEDIS score variation. But, after accounting for variation across providers, variation across plans statistically significantly explains additional variation. We also find statistically significant differences across health plans in HEDIS rates that are not substantially affected when we control for the provider organization that cared for the patient.

CONCLUSIONS: On their face, these results suggest that plans can influence quality independent of the selection of physician organizations with which they contract, in contrast to hypotheses that plans are 'too far' from patients to have an influence. Continued attention to collecting plan-level data is warranted. Further work should address other possible sources of variations in HEDIS scores, such as variability in plan administrative databases.

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International Journal for Quality in Health Care
Authors
Laurence C. Baker
Laurence Baker
David Hopkins
David Hopkins
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Background: Since California lacks a statewide trauma system, there are no uniform interfacility pediatric trauma transfer guidelines across local emergency medical services (EMS) agencies in California. This may result in delays in obtaining optimal care for injured children.

Objectives: This study sought to understand patterns of pediatric trauma patient transfers to the study trauma center as a first step in assessing the quality and efficiency of pediatric transfer within the current trauma system model. Outcome measures included clinical and demographic characteristics, distances traveled, and centers bypassed. The hypothesis was that transferred patients would be more severely injured than directly admitted patients, primary catchment transfers would be few, and out-of-catchment transfers would come from hospitals in close geographic proximity to the study center.

Methods: This was a retrospective observational analysis of trauma patients ≤ 18 years of age in the institutional trauma database (2000–2007). All patients with a trauma International Classification of Diseases, 9th revision (ICD-9) code and trauma mechanism who were identified as a trauma patient by EMS or emergency physicians were recorded in the trauma database, including those patients who were discharged home. Trauma patients brought directly to the emergency department (ED) and patients transferred from other facilities to the center were compared. A geographic information system (GIS) was used to calculate the straight-line distances from the referring hospitals to the study center and to all closer centers potentially capable of accepting interfacility pediatric trauma transfers.

Results: Of 2,798 total subjects, 16.2% were transferred from other facilities within California; 69.8% of transfers were from the catchment area, with 23.0% transferred from facilities ≤ 10 miles from the center. This transfer pattern was positively associated with private insurance (risk ratio [RR] = 2.05; p < 0.001) and negatively associated with age 15–18 years (RR = 0.23; p = 0.01) and Injury Severity Score (ISS) > 18 (RR = 0.26; p < 0.01). The out-of-catchment transfers accounted for 30.2% of the patients, and 75.9% of these noncatchment transfers were in closer proximity to another facility potentially capable of accepting pediatric interfacility transfers. The overall median straight-line distance from noncatchment referring hospitals to the study center was 61.2 miles (IQR = 19.0–136.4), compared to 33.6 miles (IQR = 13.9–61.5) to the closest center. Transfer patients were more severely injured than directly admitted patients (p < 0.001). Out-of-catchment transfers were older than catchment patients (p < 0.001); ISS > 18 (RR = 2.06; p < 0.001) and age 15–18 (RR = 1.28; p < 0.001) were predictive of out-of-catchment patients bypassing other pediatric-capable centers. Finally, 23.7% of pediatric trauma transfer requests to the study institution were denied due to lack of bed capacity.

Conclusions: From the perspective an adult Level I trauma center with a certified pediatric intensive care unit (PICU), delays in definitive pediatric trauma care appear to be present secondary to initial transport to nontrauma community hospitals within close proximity of a trauma hospital, long transfer distances to accepting facilities, and lack of capacity at the study center. Given the absence of uniform trauma triage and transfer guidelines across state EMS systems, there appears to be a role for quality monitoring and improvement of the current interfacility pediatric trauma transfer system, including defined triage, transfer, and data collection protocols.

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Academic Emergency Medicine
Authors
Colleen D. Acosta
Mucio Kit Delgado
Michael A. Gisondi
Amritha Raghunathan
Peter A. D’Souza
Gregory Gilbert
David A. Spain
Patrice Christensen
N. Ewen Wang
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Abstract

BACKGROUND:

Concern about patient safety has promoted efforts to improve safety climate. A better understanding of how patient safety climate differs among distinct work areas and disciplines in hospitals would facilitate the design and implementation of interventions.

OBJECTIVES:

To understand workers' perceptions of safety climate and ways in which climate varies among hospitals and by work area and discipline.

RESEARCH DESIGN:

We administered the Patient Safety Climate in Healthcare Organizations survey in 2004-2005 to personnel in a stratified random sample of 92 US hospitals.

SUBJECTS:

We sampled 100% of senior managers and physicians and 10% of all other workers. We received 18,361 completed surveys (52% response).

MEASURES:

The survey measured safety climate perceptions and worker and job characteristics of hospital personnel. We calculated and compared the percent of responses inconsistent with a climate of safety among hospitals, work areas, and disciplines.

RESULTS:

Overall, 17% of responses were inconsistent with a safety climate. Patient safety climate differed by hospital and among and within work areas and disciplines. Emergency department personnel perceived worse safety climate and personnel in nonclinical areas perceived better safety climate than workers in other areas. Nurses were more negative than physicians regarding their work unit's support and recognition of safety efforts, and physicians showed marginally more fear of shame than nurses. For other dimensions of safety climate, physician-nurse differences depended on their work area.

CONCLUSIONS:

Differences among and within hospitals suggest that strategies for improving safety climate and patient safety should be tailored for work areas and disciplines.

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Medical Care
Authors
Singer, S. J.
Gaba, D. M.
Falwell, A.
Lin, S.
Hayes, J.
Laurence C. Baker
Laurence Baker
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Abstract

OBJECTIVE:

To examine the relationship between measures of hospital safety climate and hospital performance on selected Patient Safety Indicators (PSIs).

DATA SOURCES:

Primary data from a 2004 survey of hospital personnel. Secondary data from the 2005 Medicare Provider Analysis and Review File and 2004 American Hospital Association's Annual Survey of Hospitals.

STUDY DESIGN:

A cross-sectional study of 91 hospitals.

DATA COLLECTION:

Negative binomial regressions used an unweighted, risk-adjusted PSI composite as dependent variable and safety climate scores and controls as independent variables. Some specifications included interpersonal, work unit, and organizational safety climate dimensions. Others included separate measures for senior managers and frontline personnel's safety climate perceptions.

PRINCIPAL FINDINGS:

Hospitals with better safety climate overall had lower relative incidence of PSIs, as did hospitals with better scores on safety climate dimensions measuring interpersonal beliefs regarding shame and blame. Frontline personnel's perceptions of better safety climate predicted lower risk of experiencing PSIs, but senior manager perceptions did not.

CONCLUSIONS:

The results link hospital safety climate to indicators of potential safety events. Some aspects of safety climate are more closely related to safety events than others. Perceptions about safety climate among some groups, such as frontline staff, are more closely related than perceptions in other groups.

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Health Services Research
Authors
Singer, S.
Lin, S.
Falwell, A
Gaba, D.
Laurence C. Baker
Laurence Baker
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Objective

To determine whether eligible extremely-low-birth-weight children (<1000g) were enrolled in the federally enacted, state-coordinated Early Intervention (EI) program intended to help children with developmental delay or disability regardless of parental income, and the factors associated with enrollment.

Methods

Retrospective analysis of 884 EI-eligible ELBW children born in South Carolina with birth weight 401 to 999g, gestation ≥24 weeks, and survival for the first 120 days of life. We created a linked data set with data from Early Intervention (1996–2001), Vital Records (1996–1998), death certificates, and Medicaid. Each child was followed from birth to 3 years old, the program eligibility period.

Results

A total of 54% of ELBW children were enrolled in EI at any time from birth to 36 months. Even among children ever enrolled in Medicaid (83% of all ELBW children), only 63% were enrolled in EI. Being born in a multiple gestational birth, having heavier birth weight (750 to 999g), and having ever enrolled in Medicaid were positively associated with EI enrollment. Among Medicaid patients for whom perinatal data were available, additional risk adjustment showed that EI enrollment was more likely with birth in level 3 hospitals, birth weight 750 to 999g, Neonatal Medical Index severity level V (most severe), and longer initial length of hospital stay.

Conclusions

Only about half of eligible ELBW children in South Carolina were enrolled—much lower than reported elsewhere. Efforts are needed to understand why eligible infants are not being enrolled and to develop strategies to remedy the situation.

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Journal Articles
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Academic Pediatrics
Authors
C. Jason Wang
C. Jason Wang
Marc N. Elliott
Jeannette Rogowski
Nelson Lim
Jessica A. Ratner
Mark A. Schuster
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