Peer Reviewed: Children With Special Health Care Needs: Acknowledging the Dilemma of Difference in Policy Responses to Obesity

Children with special health care needs (SHCN) account for part of the increasing prevalence of childhood obesity in the general population and can face an elevated risk for obesity. The federal government, in partnership with states, has assumed the role of steward for this vulnerable population and supports a network of services designed to promote their health through increased access to quality health services. Addressing obesity-related health risks among children with SHCN requires policies that support family- and community-based initiatives in addition to health services. We discuss the ethics of child obesity policy from the perspective of children with SHCN and their families, and identify salient issues to optimize benefits for children and families. We refer to the dilemma of difference to identify policy concerns that are specific to children with SHCN and ethically may require different approaches. Determining the appropriate mix of inclusive and special obesity prevention initiatives for children with SHCN and identifying approaches to ensure their full participation in community-based obesity prevention activities present challenges. Children with SHCN from low-income and minority communities are particularly vulnerable and warrant special attention.     

Peer Reviewed: Paying for Performance in Population Health: Lessons From Health Care Settings

The appeal of pay-for-performance in health care derives from the conceptual view that paying doctors and hospitals more to deliver better care will encourage them to deliver better care. What lessons can be learned from the successes and failures of pay-for-performance in health care settings that apply to pay-for-performance in population health? We argue that pay-for-performance requires conditions that are not easily met in population health settings. Pay-for-performance has focused on narrow clinical problems whose success depends on identifiable actors with the motivation and resources to change clinical processes or outcomes. In contrast, population health has broad goals, many antecedents, and no single, identifiable fiduciary (a person who holds assets in trust for a beneficiary). Nevertheless, with careful attention, conditions for successful pay-for-performance in population health might be met.     

Peer Reviewed: Managed-Medicare Health Club Benefit and Reduced Health Care Costs Among Older Adults

Introduction

Our study was undertaken to determine the association between use of a health plan-sponsored health club benefit by older adults and total health care costs over 2 years.

Methods

This retrospective cohort study used administrative and claims data from a Medicare Advantage plan. Participants (n = 4766) were enrolled in the plan for at least 1 year before participating in the plan-sponsored health club benefit (Silver Sneakers). Controls (n = 9035) were matched to participants by age and sex according to the index date of Silver Sneakers enrollment. Multivariate regression models were used to estimate health care use and costs and to make subgroup comparisons according to frequency of health club visits.

Results

Compared with controls, Silver Sneakers participants were older and more likely to be male, used more preventive services, and had higher total health care costs at baseline. Adjusted total health care costs for Silver Sneakers participants and controls did not differ significantly in year 1. By year 2, compared with controls, Silver Sneakers participants had significantly fewer inpatient admissions (−2.3%, 95% confidence interval, −3.3% to −1.2%; P < .001) and lower total health care costs (−$500; 95% confidence interval, −$892 to −$106; P = .01]. Silver Sneakers participants who averaged at least two health club visits per week over 2 years incurred at least $1252 (95% confidence interval, −$1937 to −$567; P < .001) less in health care costs in year 2 than did those who visited on average less than once per week.

Conclusion

Regular use of a health club benefit was associated with slower growth in total health care costs in the long term but not in the short term. These findings warrant additional prospective investigations to determine whether policies to offer health club benefits and promote physical activity among older adults can reduce increases in health care costs.     

Peer Reviewed: Measuring Population Health Outcomes

An ideal population health outcome metric should reflect a population''s dynamic state of physical, mental, and social well-being. Positive health outcomes include being alive; functioning well mentally, physically, and socially; and having a sense of well-being. Negative outcomes include death, loss of function, and lack of well-being. In contrast to these health outcomes, diseases and injuries are intermediate factors that influence the likelihood of achieving a state of health. On the basis of a review of outcomes metrics currently in use and the availability of data for at least some US counties, I recommend the following metrics for population health outcomes: 1) life expectancy from birth, or age-adjusted mortality rate; 2) condition-specific changes in life expectancy, or condition-specific or age-specific mortality rates; and 3) self-reported level of health, functional status, and experiential status. When reported, outcome metrics should present both the overall level of health of a population and the distribution of health among different geographic, economic, and demographic groups in the population.

By far, the most fundamental use of summary measures of population health is to shift the centre of gravity of health policy discourse away from the inputs . . . and throughputs . . . of the health system towards health outcomes for the population. This is not to imply that the resources used and activities undertaken by national or regional health systems are unimportant; quite the contrary. But our understanding of their roles and importance is more appropriate if guided by the real "bottom line," namely their influence on population health. Michael C. Wolfson (1)

     

Peer Reviewed: Achieving a High Response Rate With a Health Care Provider Survey,Washington State, 2006

Background

Growing evidence of deficiencies in patient safety, health outcomes, cost, and overall quality of care in the United States has led to proposed initiatives and conceptual frameworks for improvement. A means for feasible, valid, and ongoing measurement of health care quality is necessary for planning and evaluating such initiatives.

Community Context

We sought to assess and improve health care quality for the management of chronic diseases in Washington State. We used the Chronic Care Model to develop a survey for health care providers and systems that measured quality of care and monitored improvement for multiple chronic conditions.

Methods

We surveyed a random sample of primary care providers and their clinic managers. We used 2 complementary tools: a provider questionnaire (administered by mail) and a clinic manager questionnaire (administered by telephone) to measure intermediate indicators of health care quality.

Outcome

We achieved high response rates (78% for physicians, 82% for physician assistants, and 71% for clinic managers).

Interpretation

Our survey administration methods, or modified versions of these methods, may be effective for obtaining high response rates as part of ongoing monitoring of health care quality.     

Peer Reviewed: Public Health Surveillance for Mental Health

Public health systems have relied on public health surveillance to plan health programs, and extensive surveillance systems exist for health behaviors and chronic disease. Mental health has used a separate data collection system that emphasizes measurement of disease prevalence and health care use. In recent years, efforts to integrate these systems have included adding chronic disease measures to the Collaborative Psychiatric Epidemiology Surveys and depression measures to the Behavioral Risk Factor Surveillance System; other data collection systems have been similarly enhanced. Ongoing challenges to integration include variations in interview protocols, use of different measures of behavior and disease, different interval reference periods, inclusion of substance abuse disorders, dichotomous vs continuous variables, and approaches to data collection. Future directions can address linking surveillance efforts more closely to the needs of state programs, increasing child health measurements in surveys, and improving knowledge dissemination from survey analyses.     

Peer Reviewed: Accountability Metrics and Paying for Performance in Education and Health Care

The track record in paying for performance in education is not good; nevertheless, emphasis on accountability and performance has gained momentum in the last 25 years. This emphasis includes systems of merit pay, career ladders, and national board certification. The general failures of these efforts have led some reformers to suggest that teacher pay be directly related to student value-added performance. This suggestion remains controversial but is also the hottest topic in paying for performance in education. Although many similarities exist between education and health care, major differences may make it even harder to install pay-for-performance systems in health than in education. If those systems are to be tried, experiments should begin in a bottom-up fashion at the unit level, rather than being imposed systemwide.     

Peer Reviewed: Realizing and Allocating Savings From Improving Health Care Quality and Efficiency

International efforts to increase the quality and efficiency of health care services may be creating financial savings that can be used to improve population health. This article examines evidence that such savings (ie, a quality/efficiency or value dividend) are accruing and how they have been allocated and assesses the prospects for reallocating future savings to improve population health. Savings have resulted mainly from reducing the number of inappropriate or harmful interventions, managing care of people with chronic disease more effectively, and implementing health information technology. Savings to date have accrued to the revenues of public and private collective purchasers of care and large provider organizations, but none seem to have been reallocated to address other determinants of health. Furthermore, improved quality sometimes increases spending.     

Peer Reviewed: Sociodemographic and Health Characteristics Associated With Attempting Weight Loss During Pregnancy

Introduction

Approximately 40% of women of childbearing age report that they are attempting to lose weight. No professional medical organization recommends attempting to lose weight during pregnancy because of the possible risks to both mother and baby. Since half of all pregnancies are unintended, women may attempt to lose weight before they know they are pregnant, and some women may continue or initiate weight loss attempts even after they know they are pregnant. This study examines the extent to which pregnant women report attempting to lose weight and associated sociodemographic and health characteristics.

Methods

We used aggregated multiple-year data (1996-2003) from the Behavioral Risk Factor Surveillance System to assess the prevalence of attempting to lose weight among pregnant women and the extent to which sociodemographic and health characteristics are associated with the behavior.

Results

The prevalence of attempting to lose weight during pregnancy was 8.1%. Attempting to lose weight during pregnancy was associated with age 35-44 years, Hispanic ethnicity, obesity, alcohol consumption, and mental distress during the previous month.

Conclusion

A substantial proportion of pregnant women attempt to lose weight. Preconception and prenatal care should include counseling women to achieve a healthy weight before becoming pregnant, to maintain healthy weight during pregnancy, and not to attempt weight loss during pregnancy. Further research should be conducted to understand how attempting weight loss during pregnancy translates into dietary change and weight loss and associated maternal and fetal outcomes.     

Peer Reviewed: Grading and Reporting Health and Health Disparities

Report cards are widely used in health for drawing attention to performance indicators. We developed a state health report card with separate grades for health and health disparities to generate interest in and awareness of differences in health across different population subgroups and to identify opportunities to improve health. We established grading curves from data for all 50 states for 2 outcomes (mortality and unhealthy days) and 4 life stages (infants, children and young adults, working-age adults, and older adults). We assigned grades for health within each life stage by sex, race/ethnicity, socioeconomics, and geography. We also assigned a health disparity grade to each life stage. Report cards can simplify complex information for lay audiences and garner media and policy maker attention. However, their development requires methodologic and value choices that may limit their interpretation.     

Peer Reviewed: Health Care Costs and Participation in a Community-Based Health Promotion Program for Older Adults

Introduction

EnhanceWellness (EW) is a community-based health promotion program that helps prevent disabilities and improves health and functioning in older adults. A previous randomized controlled trial demonstrated a decrease in inpatient use for EW participants but did not evaluate health care costs. We assessed the effect of EW participation on health care costs.

Methods

We performed a retrospective cohort study in King County, Washington. Enrollees in Group Health Cooperative (GHC), a mixed-model health maintenance organization, who were aged 65 years or older and who participated in EW from 1998 through 2005 were matched 1:3 by age and sex to GHC enrollees who did not participate in EW. We matched 218 EW participants by age and sex to 654 nonparticipants. Participants were evaluated for 1 year after the date they began the program. The primary outcome was total health care costs; secondary outcomes were inpatient costs, primary care costs, percentage of hospitalizations, and number of hospital days. We compared postintervention outcomes between EW participants and nonparticipants by using linear regression. Results were adjusted for prior year costs (or health care use), comorbidity, and preventive health care-seeking behaviors.

Results

Mean age of participants and nonparticipants was 79 years, and 72% of participants and nonparticipants were female. Adjusted total costs in the year following the index date were $582 lower among EW participants than nonparticipants, but this difference was not significant.

Conclusion

Although EW participation demonstrated health benefits, participation does not appear to result in significant health care cost savings among people receiving health care through a health maintenance organization.     

Peer Reviewed: Systems-Level Smoking Cessation Activities by Private Health Plans

Introduction

The US Public Health Service urges providers to screen patients for smoking and advise smokers to quit. Yet, these practices are not widely implemented in clinical practice. This study provides national estimates of systems-level strategies used by private health insurance plans to influence provider delivery of smoking cessation activities.

Methods

Data are from a nationally representative survey of health plans for benefit year 2003, across product types offered by insurers, including health maintenance organizations (HMOs), preferred provider organizations, and point-of-service products, regarding alcohol, tobacco, drug, and mental health services. Executive directors of 368 health plans responded to the administrative module (83% response rate). Medical directors of 347 of those health plans, representing 771 products, completed the clinical module in which health plan respondents were asked about screening for smoking, guideline distribution, and incentives for guideline adherence.

Results

Only 9% of products require, and 12% verify, that primary care providers (PCPs) screen for smoking. HMOs are more likely than other product types to require screening. Only 17% of products distribute smoking cessation guidelines to PCPs, and HMOs are more likely to do this. Feedback to PCPs was most frequently used to encourage guideline adherence; financial incentives were rarely used. Furthermore, health plans that did require screening often conducted other cessation activities.

Conclusion

Few private health plans have adopted techniques to encourage the use of smoking cessation activities by their providers. Increasing health plan involvement is necessary to reduce tobacco use and concomitant disease in the United States.     

Peer Reviewed: Multisector Partnerships in Population Health Improvement

Many new initiatives for population health improvement feature partnerships of leaders and organizations across multiple sectors of society. The purpose of this article is to review 1) the rationale for such partnerships as an important, if not essential, tool for population health improvement; 2) key organizational and contextual factors that appear to be associated with effective multisector partnerships; and 3) the limited evidence regarding the effect of such partnerships on population health outcomes. We conclude that systems thinking — accounting for the collective effect of many actors and actions — is essential to organizing and sustaining efforts to improve population health, and to evaluating them. More research is needed to understand how and why multisector partnerships are formed and sustained and the conditions under which multisector partnerships are necessary or more effective than other strategies for population health improvement. Research on and evaluation of multisector partnerships also need to incorporate more standard measures of partnership contexts, characteristics, and strategies and adopt longitudinal and prospective designs to accelerate social learning in this area. Finally, studies of multisector partnerships must be alert to the value of such initiatives to individuals and communities apart from any direct and measurable impact on population health.     

Peer Reviewed: Workplace Health Promotion in Washington State

The workplace is a powerful setting to reach large numbers of at-risk adults with effective chronic disease prevention programs. Missed preventive care is a particular problem for workers with low income and no health insurance. The costs of chronic diseases among workers — including health care costs, productivity losses, and employee turnover — have prompted employers to seek health promotion interventions that are both effective and cost-effective. The workplace offers 4 avenues for delivering preventive interventions: health insurance, workplace policies, health promotion programs, and communications. For each of the avenues, the evidence base describes a number of preventive interventions that are applicable to the workplace. On the basis of the evidence and of our work in Washington State, we present a public health approach to preventing chronic diseases via the workplace. In addition to relying on the evidence, this approach makes a compelling business case for preventive interventions to employers.     

Peer Reviewed: Environmental Metrics for Community Health Improvement

Environmental factors greatly affect human health. Accordingly, environmental metrics are a key part of the community health information base. We review environmental metrics relevant to community health, including measurements of contaminants in environmental media, such as air, water, and food; measurements of contaminants in people (biomonitoring); measurements of features of the built environment that affect health; and measurements of "upstream" environmental conditions relevant to health. We offer a set of metrics (including unhealthy exposures, such as pollutants, and health-promoting assets, such as parks and green space) selected on the basis of relevance to health outcomes, magnitude of associated health outcomes, corroboration in the peer-reviewed literature, and data availability, especially at the community level, and we recommend ways to use these metrics most effectively.