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The authors announce the creation of a new feature and the call for papers to be included in a future issue of the periodical. The initial theme selected entails the improvement of efficiency and value in health care which is set to improve the quality of American Healthcare System. This theme issue is supported by the Agency for Healthcare Research and Quality (AHRQ).

This paper presents longitudinal data representing federal funding for health services research and discusses the observed trends in the larger context of overall funding for research and development in the United States. By putting into context public and private funding trends, the authors examine how these trends effect the supply and demand of the health services research workforce. [ABSTRACT FROM AUTHOR]

Objectives: To explore (1) differences in validity and feasibility ratings for geriatric surgical standards across a diverse stakeholder group (surgeons vs. nonsurgeons, health care providers vs. nonproviders, including patient-family, advocacy, and regulatory agencies); (2) whether three multidisciplinary discussion subgroups would reach similar conclusions.Data Source/study Setting: Primary data (ratings) were reported from 58 stakeholder organizations.Study Design: An adaptation of the RAND-UCLA Appropriateness Methodology (RAM) process was conducted in May 2016.Data Collection/extraction Methods: Stakeholders self-administered ratings on paper, returned via mail (Round 1) and in-person (Round 2).Principal Findings: In Round 1, surgeons rated standards more critically (91.2 percent valid; 64.9 percent feasible) than nonsurgeons (100 percent valid; 87.0 percent feasible) but increased ratings in Round 2 (98.7 percent valid; 90.6 percent feasible), aligning with nonsurgeons (99.7 percent valid; 96.1 percent feasible). Three parallel subgroups rated validity at 96.8 percent (group 1), 100 percent (group 2), and 97.4 percent (group 3). Feasibility ratings were 76.9 percent (group 1), 96.1 percent (group 2), and 92.2 percent (group 3).Conclusions: There are differences in validity and feasibility ratings by health professions, with surgeons rating standards more critically than nonsurgeons. However, three separate discussion subgroups rated a high proportion (96-100 percent) of standards as valid, indicating the RAM can be successfully applied to a large stakeholder group. [ABSTRACT FROM AUTHOR]

Objectives: To examine: (1) what elements of patient-centered medical homes (PCMHs) are typically provided to low-income populations, (2) whether PCMHs improve health behaviors, experiences, and outcomes for low-income groups.Data Sources/study Setting: Existing literature on PCMH utilization among health care organizations serving low-income populations.Study Design: Systematic review and meta-analysis.Data Collection/extraction Methods: We obtained papers through existing systematic and literature reviews and via PubMed, Web of Science, and the TRIP databases, which examined PCMHs serving low-income populations. A total of 434 studies were reviewed. Thirty-three articles met eligibility criteria.Principal Findings: Patient-centered medical home interventions usually were composed of five of the six recommended components. Overall positive effect of PCMH interventions was d = 0.247 (range -0.965 to 1.42). PCMH patients had better clinical outcomes (d = 0.395), higher adherence (0.392), and lower utilization of emergency rooms (d = -0.248), but there were apparent limitations in study quality.Conclusions: Evidence shows that the PCMH model can increase health outcomes among low-income populations. However, limitations to quality include no assessment for confounding variables. Implications are discussed. [ABSTRACT FROM AUTHOR]

Objective. This paper reflects on the progress of the original Cash and Counseling states, and shows how this model has spread, how it has evolved over time, and what is left to improve. It then discusses the generalizability of the Cash and Counseling approach beyond long-term care and ventures some thoughts on what still needs to be learned. Finally, this paper suggests some of the contingencies that could affect the diffusion of this innovation. Data Sources/Study Setting. Drawing from ten years of experiences with the fifteen Cash and Counseling states, plus their analyses of current trends and future opportunities and threats, the framers of the Cash and Counseling model reflect on future directions. Study Design. This paper is essentially a policy-driven analysis of how the Cash and Counseling model has been sustained and disseminated, how it is likely to develop, and what still needs to be learned. Principal Findings. The basic Cash and Counseling model appears adaptable to different state environments and populations, but that hypothesis will be severely tested as more and more states seek to replicate. As one step to promote flexibility while capturing and preserving the essence of the model that led to such promising research results, the Cash & Counseling National Program Office developed a “Vision Statement”. Conclusions. The Cash and Counseling approach is not for everyone, but it is clearly a choice many participants desire. Its development merits monitoring. [ABSTRACT FROM AUTHOR]

Objective. This paper uses a unique database to examine premiums paid by beneficiaries for Medigap supplemental coverage. Average premiums charged by insurers are reported, as well as premiums by enrollee age and gender, and additional policy characteristics. Marginal prices for Medigap benefits are estimated using hedonic price regressions. In addition, the paper considers how additional policy characteristics and geographic differences in the use and cost of medical care affect premiums. Data Sources/Study Setting. A comprehensive database on premiums paid by beneficiaries for newly issued Medigap policies in the year 2000 along with state-level characteristics. Study Design. Hedonic pricing equations are used to estimate implicit prices for Medigap benefits. Data Collection/Extraction Methods. The Centers for Medicare & Medicaid Services contracted for the creation of a detailed database on Medigap premiums. Data were collected in three stages. First, letters were sent directly to insurers requesting premium data. Second, letters were directly to state insurance commissioner's offices requesting premium data. Last, each state insurance commissioner's office was visited to collect missing data. Principal Findings. With the exceptions of the part B deductible and drug benefit, Medigap supplemental insurance is priced consistent with the actuarial value of benefits offered under the standardized plans. Premiums vary substantially based on rating method, whether the policy is guaranteed issue, Medigap Select, or explicitly for smokers. Premiums increase with enrollee age, but do not vary between men and women. The relationship between premiums and enrollee age varies across rating methods. Attained-age policies show the strongest relationship between age and premiums, while community-rated premiums, by definition, do not vary with age. Medigap supplemental insurance premiums are higher in states with poorer health, greater utilization, and greater managed care penetration. Conclusions. Despite the high cost, Medigap plans are generally priced in accordance with the actuarial value of benefits. The primary exception is the drug benefit, which appears to be subject to substantial adverse selection. Benefits such as the part B deductible and at-home recovery benefit offer little value to consumers. Several states require insurers to community rate premiums. Such regulation has important implications for premiums, and research needs to consider the impact of such regulation on the Medigap market. [ABSTRACT FROM AUTHOR]

Health care clinicians successfully apply proven medical evidence in common acute, chronic, or preventive care processes less than 80 percent of the time. This low level of reliability at the basic process level means that health care's efforts to improve reliability start from a different baseline from most other industries, and therefore may require a different approach. This paper describes The Institute for Healthcare Improvement's (IHI) current approach to improving health care reliability, including a useful nomenclature for levels of reliability, and a focus on improving reliability of basic health care processes before moving on to more sophisticated high reliability organization concepts. Early IHI work with a community of health care reliability innovators has identified four themes in health care settings that help to explain at least a portion of the gap in process reliability between health care and other industries. These include extreme dependence on hard work and personal vigilance, a focus on mediocre benchmark outcomes rather than process, great tolerance of provider autonomy, and failure to create systems that are specifically designed to reach articulated reliability goals. This paper describes our recommendations for the initial steps health care organizations' might take, based on these four themes, as they begin to move toward higher reliability. [ABSTRACT FROM AUTHOR]

Policy makers (both public and private) are seeking ways to improve the value delivered within our health care system, that is, using fewer resources to provide the same benefit to patients, or using equivalent resources to provide more benefit. One strategy is to alter the predominant fee-for-service (FFS) economic incentives in the current system. To inform such policy changes, this paper identifies areas in which little is known about the effects of specific incentives (FFS, salary, etc.) on the two components of value: resource use and quality. Specific suggestions are offered regarding research that would be informative for policy makers, focusing on fundamental "building block" studies rather than overall evaluations of complex interventions, such as accountable care organizations. This research would better identify critical aspects of the FFS model and salary-based payments that are particularly problematic, as well as situations in which FFS or salary may be less problematic. The research would also explore when alternatives, such as episode-based payment might be feasible, or simply be hypothetical solutions. The availability of electronic health record-based data in various delivery systems would allow many of these studies to be accomplished in 3-5 years with budgets manageable by public and private funding sources. [ABSTRACT FROM AUTHOR]

An introduction to various papers within the issue which provide an overview of the current state of the research literature around improving the value of the health care system in the U.S. such as payment incentives and the theory and practice of fee-for-service is presented.

Objective The Patient Protection and Affordable Care Act ( ACA) increases Medicaid physician fees for preventive care up to Medicare rates for 2013 and 2014. The purpose of this paper was to model the relationship between Medicaid preventive care payment rates and the use of U.S. Preventive Services Task Force ( USPSTF)-recommended preventive care use among Medicaid enrollees. Data Sources/Study Session We used data from the 2003 and 2008 Medical Expenditure Panel Survey ( MEPS), a national probability sample of the U.S. civilian, noninstitutionalized population, linked to Kaiser state Medicaid benefits data, including the state Medicaid-to-Medicare physician fee ratio in 2003 and 2008. Study Design Probit models were used to estimate the probability that eligible individuals received one of five USPSF-recommended preventive services. A difference-in-difference model was used to separate out the effect of changes in the Medicaid payment rate and other factors. Data Collection/Extraction Methods Data were linked using state identifiers. Principal Findings Although Medicaid enrollees had a lower rate of use of the five preventive services in univariate analysis, neither Medicaid enrollment nor changes in Medicaid payment rates had statistically significant effects on meeting screening recommendations for the five screenings. The results were robust to a number of different sensitivity tests. Individual and state characteristics were significant. Conclusions Our results suggest that although temporary changes in primary care provider payments for preventive services for Medicaid enrollees may have other desirable effects, they are unlikely to substantially increase the use of these selected USPSTF-recommended preventive care services among Medicaid enrollees. [ABSTRACT FROM AUTHOR]

Objective To provide a tutorial for using propensity score methods with complex survey data. Data Sources Simulated data and the 2008 Medical Expenditure Panel Survey. Study Design Using simulation, we compared the following methods for estimating the treatment effect: a naïve estimate (ignoring both survey weights and propensity scores), survey weighting, propensity score methods (nearest neighbor matching, weighting, and subclassification), and propensity score methods in combination with survey weighting. Methods are compared in terms of bias and 95 percent confidence interval coverage. In Example 2, we used these methods to estimate the effect on health care spending of having a generalist versus a specialist as a usual source of care. Principal Findings In general, combining a propensity score method and survey weighting is necessary to achieve unbiased treatment effect estimates that are generalizable to the original survey target population. Conclusions Propensity score methods are an essential tool for addressing confounding in observational studies. Ignoring survey weights may lead to results that are not generalizable to the survey target population. This paper clarifies the appropriate inferences for different propensity score methods and suggests guidelines for selecting an appropriate propensity score method based on a researcher's goal. [ABSTRACT FROM AUTHOR]

To study the effects of payment timing, form of payment, and requiring a social security number (SSN) on survey response rates. Third-wave mailing of a U.S. physician survey. Nonrespondents were randomized to receive immediate U.S.$25 cash, immediate U.S.$25 check, promised U.S.$25 check, or promised U.S.$25 check requiring an SSN. Paper survey responses were double entered into statistical software. Response rates differed significantly between remuneration groups ( χ=80.1, p<.0001), with the highest rate in the immediate cash group (34 percent), then immediate check (20 percent), promised check (10 percent), and promised check with SSN (8 percent). Immediate monetary incentives yield higher response rates than promised in this population of nonresponding physicians. Promised incentives yield similarly low response rates regardless of whether an SSN is requested. [ABSTRACT FROM AUTHOR]

Objective. To examine adoption of telehealth in a rural public health district and to explain how the innovation became sustainable. Study Setting. Longitudinal, qualitative study (1988–2008) of the largest public health district in Georgia. Study Design. Case study design provided deep insights into the innovation's social dynamics. Punctuated equilibrium theory helped present and make sense of the process. We identified antecedent conditions and outcomes, and we distinguished between episodes and encounters based on the disruptive effects of events. Data Collection. Twenty-five semistructured interviews with 19 decision makers and professionals, direct observations, published papers, grant proposals, technical specifications, and other written materials. Principal Findings. Strong collaboration within the district, with local community, and with external partners energized the process. Well-functioning outreach clinics made telehealth desirable. Local champions cultivated participation and generative capability, and overcame barriers through opportunistic exploitation of technological and financial options. Telehealth usage fluctuated between medical and administrative operations in response to internal needs and contextual dynamics. External agencies provided initial funding and supported later expansion. Conclusions. Extensive internal and external collaboration, and a combination of technology push and opportunistic exploitation, can enable sustainable rural telehealth innovation. [ABSTRACT FROM AUTHOR]

Objective. To assess the impact of the Children's Health Insurance Program (CHIP) on the distribution of health insurance coverage for low-income children. Data Source. The primary data for the study were from the 1997, 1999, and 2002 National Survey of America's Families (NSAF), which includes a total sample of 62,497 children across all 3 years, supplemented with data from other data sources. Study Design. The study uses quasi-experimental designs and tests the sensitivity of the results to using instrumental variable and difference-in-difference approaches. A detailed Medicaid and CHIP eligibility model was developed for this study. Balanced repeated replicate weights were used to account for the complex sample of the NSAF. Descriptive and multivariate analyses were conducted. Principle Findings. The results varied depending on the approach utilized but indicated that the CHIP program led to significant increases in public coverage (14–20 percentage points); and declines in employer-sponsored coverage (6–7 percentage points) and in uninsurance (7–12 percentage points). The estimated share of CHIP enrollment attributable to crowd-out ranged from 33 to 44 percent. Smaller crowd-out effects were found for Medicaid-eligible children. Conclusions. Implementation of the CHIP program resulted in large increases in public coverage with estimates of crowd-out consistent with initial projections made by the Congressional Budget Office. This paper demonstrates that public health insurance expansions can lead to substantial reductions in uninsurance without causing a large-scale erosion of employer coverage. [ABSTRACT FROM AUTHOR]

Research Objective. This paper tests for differences in the effect of State Children's Health Insurance Program (SCHIP) on children's insurance coverage and physician visits across three age groups: pre-elementary school-aged children (pre-ESA), ESA children, and post-ESA children. Data Source. The study uses two cross sections of the Survey of Income and Program Participation (SIPP) from the 1996 and 2001 panels. Study Design. A difference-in-differences approach is used to estimate the effect of SCHIP on coverage and physician visits of newly eligible children of different age groups. Data Collection. Demographic, insurance, and physician visit information for children in families with income below 300 percent of federal poverty line were extracted from the SIPP. Principal Findings. Uninsurance rates for post-ESA children declined due to SCHIP while public coverage and the likelihood of visiting a physician increased. Estimates of cross-age differences show that post-ESA children experienced a larger decline in uninsurance rates compared with pre-ESA and ESA children and a larger increase in physician visits compared with ESA children. Conclusions. The higher rate of physician visits for post-ESA children due to SCHIP demonstrates the importance of extending insurance coverage to teens as well as young children. [ABSTRACT FROM AUTHOR]

Objective. To examine the within-year concentration of family health care and the resulting exposure of families to short periods of high expenditure burdens. Data Source. Household data from the pooled 2003 and 2004 Medical Expenditure Panel Survey (MEPS) yielding nationally representative estimates for the nonelderly civilian noninstitutionalized population. Study Design. The paper examines the within-year concentration of family medical care use and the frequency with which family out-of-pocket expenditures exceeded 20 percent of family income, computed at the annual, quarterly, and monthly levels. Principal Findings. On average among families with medical care, 49 percent of all (charge-weighted) care occurred in a single month, and 63 percent occurred in a single quarter). Nationally, 27 percent of the study population experienced at least 1 month in which out-of-pocket expenditures exceeded 20 percent of income. Monthly 20 percent burden rates were highest among the poor, at 43 percent, and were close to or above 30 percent for all but the highest income group (families above four times the federal poverty line). Conclusions. Within-year spikes in health care utilization can create financial pressures missed by conventional annual burden analyses. Within-year health-related financial pressures may be especially acute among lower-income families due to low asset holdings. [ABSTRACT FROM AUTHOR]

Objective. To describe the development of an instrument for assessing workforce perceptions of hospital safety culture and to assess its reliability and validity. Data Sources/Study Setting. Primary data collected between March 2004 and May 2005. Personnel from 105 U.S. hospitals completed a 38-item paper and pencil survey. We received 21,496 completed questionnaires, representing a 51 percent response rate. Study Design. Based on review of existing safety climate surveys, we developed a list of key topics pertinent to maintaining a culture of safety in high-reliability organizations. We developed a draft questionnaire to address these topics and pilot tested it in four preliminary studies of hospital personnel. We modified the questionnaire based on experience and respondent feedback, and distributed the revised version to 42,249 hospital workers. Data Collection. We randomly divided respondents into derivation and validation samples. We applied exploratory factor analysis to responses in the derivation sample. We used those results to create scales in the validation sample, which we subjected to multitrait analysis (MTA). Principal Findings. We identified nine constructs, three organizational factors, two unit factors, three individual factors, and one additional factor. Constructs demonstrated substantial convergent and discriminant validity in the MTA. Cronbach's α coefficients ranged from 0.50 to 0.89. Conclusions. It is possible to measure key salient features of hospital safety climate using a valid and reliable 38-item survey and appropriate hospital sample sizes. This instrument may be used in further studies to better understand the impact of safety climate on patient safety outcomes. [ABSTRACT FROM AUTHOR]

Objective. This paper analyzes whether the rise in managed care during the 1990s caused the increase in hospital concentration. Data Sources. We assemble data from the American Hospital Association, InterStudy and government censuses from 1990 to 2000. Study Design. We employ linear regression analyses on long differenced data to estimate the impact of managed care penetration on hospital consolidation. Instrumental variable analogs of these regressions are also analyzed to control for potential endogeneity. Data Collection. All data are from secondary sources merged at the level of the Health Care Services Area. Principle Findings. In 1990, the mean population-weighted hospital Herfindahl–Hirschman index (HHI) in a Health Services Area was .19. By 2000, the HHI had risen to .26. Most of this increase in hospital concentration is due to hospital consolidation. Over the same time frame HMO penetration increased three fold. However, our regression analysis strongly implies that the rise of managed care did not cause the hospital consolidation wave. This finding is robust to a number of different specifications. [ABSTRACT FROM AUTHOR]

The article offers a rejoinder to Roice D. Luke's paper on taxonomy of health networks and systems in the U.S. The authors stress that their primary objective in developing health care system taxonomy was to analyze health networks' structure and strategy as defined by the American Hospital Association. The taxonomy proponents clarified all issues raised by Luke such as the relevance of conceptual framework to health networks and the existence of measurement errors.

Objective. To measure the change in U.S. women and children's health insurance coverage as a result of welfare reform (i.e. the creation of Temporary Assistance for Needy Families or TANF) in 1996. Data Source. 1992–1999 longitudinal data from the Survey of Income and Program Participation (SIPP) merged with data on the timing of state implementation of welfare reform after 1996. Two key advantages of the SIPP data are that they permit matching type of insurance coverage to the welfare policy environment in each state in each month, and permit controlling for individual-level fixed effects. Study Design. We measure how much insurance coverage changed after welfare reform using a difference in differences method that eliminates the influence of time-invariant unobserved individual heterogeneity and of statewide trends in insurance coverage. Models also control for individual, state, and year fixed effects, individual-level characteristics such as education, age, and number of children, plus state-level variables such as real per capita income, real minimum wage, and Medicaid eligibility. Data Collection/Extraction Methods. We limit our analysis to the SIPP data specific to the month just completed prior to the interview; as a result, we have up to twelve observations for each individual in the SIPP. This paper uses pooled data from the 1992–1996 panels of the SIPP covering the period 1992–1999. Publicly available state identifiers permit the merger of state policies and macroeconomic variables with the SIPP. Principal Findings. TANF implementation is associated with an 8.1 percent increase in the probability that a welfare-eligible woman was uninsured. Welfare reform had less of an impact on the health insurance coverage of children. For example, TANF implementation was associated with a 3.0 percent increase in the probability that a welfare-eligible child lacked health insurance. Conclusions. An unintended consequence of welfare reform was to adversely impact the health insurance coverage of economically vulnerable women and children, and that this impact was several times larger than the previous literature implies. [ABSTRACT FROM AUTHOR]

Objectives. Veterans Affairs (VA) patient populations are becoming increasingly diverse in race and ethnicity. The purpose of this paper is to (1) document the importance of using consistent standards of conceptualizing and categorizing race and ethnicity in health services research, (2) provide an overview of different methods currently used to assess race and ethnicity in health services research, and (3) suggest assessment methods that could be incorporated into health services research to ensure accurate assessment of disease prevalence and incidence, as well as accounts of appropriate health services use, in patients with different racial and ethnic backgrounds. Design. A critical review of published literature was used. Principal Findings. Race is a complex, multidimensional construct. For some individuals, institutionalized racism and internalized racism are intertwined in the effects of race on health outcomes and health services use. Ethnicity is most commonly used as a social–political construct and includes shared origin, shared language, and shared cultural traditions. Acculturation appears to affect the strength of the relationships among ethnicity, health outcomes, and health services use. Conclusions. Improved and consistent methods of data collection need to be developed for use by VA researchers across the country. VA research sites with patients representing specific population groups could use a core set of demographic items in addition to expanded modules designed to assess the ethnic diversity within these population groups. Improved and consistent methods of data collection could result in the collection of higher-quality data, which could lead to the identification of race- and ethnic-specific health services needs. These investigations could in turn lead to the development of interventions designed to reduce or eliminate these disparities. [ABSTRACT FROM AUTHOR]

Introduces a series of papers on consumer-driven health care in the U.S. Emergence of consumer-driven health plans; State of the health care industry; Consumer response to the plan; Advantages over other managed care plans.