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Objective (Study Question): To use systems thinking with diverse system actors to (a) characterize current problems at the intersection of chronic conditions (CCs) and reproductive health (RH) care and their determinants, (b) determine necessary system actors for change, and (c) document cross‐system actions that can improve identified problems in the United States. Data Sources/Study Setting: Data were collected from six groups of system actors via online focus groups. Study Design: This is a qualitative multilevel study using the iceberg systems thinking framework. Data Collection/Extraction Methods: Data were collected by note‐taking and recording six focus groups; analysis incorporated perspective triangulation using the systems thinking iceberg and system mapping to visualize interconnected system challenges, actors, and action ideas. Principal Findings: Participants described eight necessary system actors: health care institutions, medical leaders, medical providers, patient advocates and foundations, patients and families, payors, policy makers, and research funders. Forty pain points were identified, spread across each of the four levels of the systems thinking iceberg: undesirable outcomes (6), concerning trends (9), system structure flaws (15), and problematic mental models (10). In response to these pain points, a set of 46 action ideas was generated by participants and mapped into nine action themes: (1) adjust QI metrics, incentives, and reimbursement, (2) bolster RH medical education and training, (3) break down medical silos, (4) enrich patient education, (5) expand the health care team, (6) improve holistic health care, (7) modify research and programmatic funding to prioritize RH and CC, (8) spur innovation for patient visits, and (9) support professional champions and leaders. Conclusions: By embracing system complexity, creating visual maps, and pushing participants to identify actionable strategies for improvement, this study generates a set of specific actions that can be used to address pain points across the multiple system levels that make improving reproductive care for people with CCs so challenging. [ABSTRACT FROM AUTHOR]

Objective: To identify and describe the standardized interconception and preconception screening tools for reproductive health needs that are applicable in general outpatient clinical practice. Data Sources and Study Setting: This systematic review identifies research on pregnancy intention screening and counseling tools, and standardized approaches to preconception and interconception care. We focus on tools designed for clinical settings, but also include research tools with potential for clinical implementation. These tools may include a component of contraceptive counseling, but those focusing solely on contraceptive counseling were excluded. Data were collected from studies done in the United States between January 2000 and March 2022. Study Design: We performed a systematic literature search to generate a list of unique tools, assessed the quality of evidence supporting each tool, and described the peer‐reviewed clinical applications of each. We used the Mixed Methods Appraisal Tool to appraise the quality of individual studies. Data Collection/Extraction Methods: We searched PubMed, Web of Science, and CINAHL databases for standardized preconception and interconception health screening tools published in English from January 2000 through March 2022. We used keywords "preconception care," "interconception care," "family planning," "contraception," "reproductive health services," and "counseling." Utilizing the Preferred Reporting Items for Systematic Reviews guidelines, we screened titles and abstracts to identify studies for full text review. Principal Findings: The search resulted in 15,399 studies. After removing 4172 duplicates, we screened 11,227 titles/abstracts and advanced 207 for full‐text review. From these, we identified 53 eligible studies representing 22 tools/standardized approaches, of which 10 had evidence from randomized clinical trials. These ranged widely in design, setting, and population of study. Conclusions: Clinicians have a choice of tools when implementing standard reproductive screening services. A growing body of research can inform the selection of an appropriate tool, and more study is needed to establish effects on long‐term patient outcomes. [ABSTRACT FROM AUTHOR]

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).

Objective: To advance equity by developing stakeholder‐driven principles of shared measurement, which is using a common set of measurable goals that reflect shared priorities across communities and systems, such as health care, public health, and human and social services. Data Sources: From October 2019 to July 2021, we collected primary data from leaders in cross‐systems alignment, measurement, and community engagement—including community members and community‐based organization leaders—across the United States. Study Design: In partnership with equity and community engagement experts, we conducted a mixed‐methods study that included multiple formative research activities and culminated in a six‐week, stakeholder‐engaged modified‐Delphi process. Data Collection: Formative data collection occurred through an environmental scan, interviews, focus groups, and an online survey. Principles were developed using a virtual modified Delphi with iterative rapid‐analysis. Feedback on the final principles was collected through virtual focus groups, an online feedback form, and during virtual presentations. Principal Findings: We developed a set of five guiding principles. Measurement that aligns systems with communities toward equitable outcomes: (1) Requires upfront investment in communities; (2) Is co‐created by communities; (3) Creates accountability to communities for addressing root causes of inequities and repairing harm; (4) Focuses on a holistic and comprehensive view of communities that highlights assets and historical context; and (5) Reflects long‐term efforts to build trust. Using an equity‐focused process resulted in principles with broad applicability. Conclusions: Leaders across systems and communities can use these shared measurement principles to reimagine and transform how systems create equitable health by centering the needs and priorities of the communities they serve, particularly communities that historically have been harmed the most by inequities. Intentionally centering equity across all project activities was essential to producing principles that could guide others in advancing equity. [ABSTRACT FROM AUTHOR]

Objective: To evaluate whether primary care physicians' participation in the Medicare Shared Savings Program (MSSP) is associated with changes in their preventive services delivery.Data Sources: Medicare Provider Utilization and Payment Physician and Other Supplier Public Use File and MSSP Accountable Care Organizations (ACO) Provider-Level Research Identifiable File from 2012 to 2018.Study Design: The design was a two-way fixed effects model estimating within-provider changes in preventive services delivery over time controlling for provider time-invariant characteristics, national time trends, and characteristics of served patients. The following preventive services were evaluated: influenza vaccination, pneumococcal vaccination, clinical depression screening, colorectal cancer screening, breast cancer screening, Body Mass Index (BMI) screening and follow-up, tobacco use assessment, and annual wellness visits. Both the likelihood of providing services and the volume of services delivered were evaluated.Data Collection/extraction Methods: Secondary data linked at the provider level.Principal Findings: MSSP participation was associated with an increase in the likelihood of providing influenza vaccination (0.7 percentage-points), pneumococcal vaccination (2.0 percentage-points), clinical depression screening (2.1 percentage-points), tobacco use assessment (0.3 percentage-points), and annual wellness visits (4.1 percentage-points). A similar increase was found for the volume of services delivered per 100 patients for several preventive services: influenza vaccination (0.18), pneumococcal vaccination (0.56), clinical depression screening (0.46), and annual wellness visits (1.52). MSSP participation was associated with a decrease in the likelihood (-0.4 percentage-points) and the volume of colorectal cancer screening (-0.03).Conclusions: Primary care physicians' participation in MSSP was associated with an increase in the likelihood and the volume of several preventive services. [ABSTRACT FROM AUTHOR]

The article presents author's comments on the Health Services Research exploiting the membership on a committee that advises Medicare on administered pricing system for physician services in Medicare Part B. It mentions that the traditional fee-for-service Medicare program depends on administered prices. It focuses on the Specialty Society Relative Value Scale Update Committee (RUC) and the U.S. Centers for Medicare & Medicaid Services (CMS).

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: To investigate how the health services research (HSR) workforce supply in the United States has evolved over the last 5 years. Data Sources: Membership data of AcademyHealth participants, professional networking websites, PubMed, grant databases, and the Integrated Postsecondary Education Data System. Study Design: Descriptive study comparing size and characteristics of the HSR workforce and graduates identified across multiple data sources. Lists of authors and principal investigators (PIs) were merged and de‐duplicated to identify unique counts. Pearson's chi‐squared test was used to compare characteristics between members and nonmembers of AcademyHealth. Data Collection: Downloaded files from websites and received survey data extracted by AcademyHealth between 2016 and 2020. Principal Findings: The workforce size ranged from 9610 to 28,136, depending on data source. Common employers included universities, government settings, and health systems. Little overlap in employers existed for individuals with potentially competing skill sets. The HSR workforce appeared more diverse than the US adult population, with two to three times greater representation among Asian individuals yet lower representation among Black/African American (30%) and Hispanic (75%) individuals compared with the US population. Exactly 87,721 master's and 3105 doctoral degree graduates from core HSR fields were added over 5 years from public and not‐for‐profit institutions. Including for‐profit institution graduates increased the count by 15% for master's and 30% for doctoral graduates. Hispanic (any race), Black/African American, and multiracial individuals gained representation among core HSR graduates, with for‐profit institutions substantially contributing to the number of Black/African American graduates. Conclusions: The HSR workforce is growing with increasing diversity among its graduates compared with previous studies. Additional work is needed to understand how employers value the contributions of those trained in HSR. Continued efforts are needed to ensure HSR workforce diversity to frame critical research questions and develop programs and policies that reflect the needs of the community. [ABSTRACT FROM AUTHOR]

Objective: Several studies of nurse staffing and patient outcomes found a curvilinear or U‐shaped relationship, with benefits from additional nurse staffing diminishing or reversing at high staffing levels. This study examined potential diminishing returns to nurse staffing and the existence of a "tipping point" or the level of staffing after which higher nurse staffing no longer improves and may worsen readmissions. Data Sources/Study Setting: The Readiness Evaluation And Discharge Interventions (READI) study database of over 130,000 adult (18+) inpatient discharges from 62 medical, surgical, and medical‐surgical (noncritical care) units from 31 United States (US) hospitals during October 2014–March 2017. Study Design: Observational cross‐sectional study using a fully nonparametric random forest machine learning method. Primary exposure was nurse hours per patient day (HPPD) broken down by registered nurses (nonovertime and overtime) and nonlicensed nursing personnel. The outcome was 30‐day all‐cause same‐hospital readmission. Partial dependence plots were used to visualize the pattern of predicted patient readmission risk along a range of unit staffing levels, holding all other patient characteristics and hospital and unit structural variables constant. Data Collection/Extraction methods: Secondary analysis of the READI data. Missing values were imputed using the missing forest algorithm in R. Principal Findings: Partial dependence plots were U‐shaped, showing the readmission risk first declining and then rising with additional nurse staffing. The tipping points were at 6.95 and 0.21 HPPD for registered nurse staffing (nonovertime and overtime, respectively) and 2.91 HPPD of nonlicensed nursing personnel. Conclusions: The U‐shaped association was consistent with diminishing returns to nurse staffing suggesting that incremental gains in readmission reduction from additional nurse staffing taper off and could reverse at high staffing levels. If confirmed in future causal analyses across multiple outcomes, accompanying investments in infrastructure and human resources may be needed to maximize nursing performance outcomes at higher levels of nurse staffing. [ABSTRACT FROM AUTHOR]

An introduction to various articles within the issue which focus on incentives for physicians is presented.

The United States is in the midst of a multifaceted public health crisis, marked by increasing midlife mortality rates among nearly all racial and ethnic groups.[[1]] The burden of this crisis has fallen most heavily among vulnerable populations, particularly individuals with lower levels of income and education.[[2]] Patterns of rising mortality - which vary across time, space, and causes of death - suggest a complex set of underlying causes, many of which may have been operative for decades.[2] How do the findings speak to the potential consequences of other trends in urban housing, in particular gentrification, whose relationship to evictions and health outcomes has thus far been shown to be mixed? America's declining well-being, health, and life expectancy: not just a white problem. 33 Fazel S, Geddes JR, Kushel M. The health of homeless people in high-income countries: descriptive epidemiology, health consequences, and clinical and policy recommendations. [Extracted from the article]

Objectives: To compare patterns of technological adoption of minimally invasive surgery for radical prostatectomy across the United States and England. Data Sources: We examine radical prostatectomy in the United States and England between 2005 and 2017, using de‐identified administrative claims data from the OptumLabs Data Warehouse in the United States and the Hospital Episodes Statistics in England. Study Design: We conducted a longitudinal analysis of robotic, laparoscopic, and open surgery for radical prostatectomy. We compared the trends of adoption over time within and across countries. Next, we explored whether differential adoption patterns in the two health systems are associated with differences in volumes and patient characteristics. Finally, we explored the relationship between these adoption patterns and length of stay, 30‐day readmission, and urology follow‐up visits. Data Collection: Open, laparoscopic, and robotic radical prostatectomies are identified using Office of Population Censuses and Surveys Classification of Interventions and Procedures (OPCS) codes in England and International Classification of Diseases ninth revision (ICD9), ICD10, and Current Procedural Terminology (CPT) codes in the United States. Principal Findings: We identified 66,879 radical prostatectomies in England and 79,358 in the United States during 2005–2017. In both countries, open surgery dominates until 2009, where it is overtaken by minimally invasive surgery. The adoption of robotic surgery is faster in the United States. The adoption rates and, as a result, the observed centralization of volume, have been different across countries. In both countries, patients undergoing radical prostatectomies are older and have more comorbidities. Minimally invasive techniques show decreased length of stay and 30‐day readmissions compared to open surgery. In the United States, robotic approaches were associated with lower length of stay and readmissions when compared to laparoscopic. Conclusions: Robotic surgery has become the standard approach for radical proctectomy in the United States and England, showing decreased length of stay and in 30‐day readmissions compared to open surgery. Adoption rates and specialization differ across countries, likely a product of differences in cost‐containment efforts. [ABSTRACT FROM AUTHOR]

Objectives: To compare patterns of technological adoption of minimally invasive surgery for radical prostatectomy across the United States and England. Data Sources: We examine radical prostatectomy in the United States and England between 2005 and 2017, using de‐identified administrative claims data from the OptumLabs Data Warehouse in the United States and the Hospital Episodes Statistics in England. Study Design: We conducted a longitudinal analysis of robotic, laparoscopic, and open surgery for radical prostatectomy. We compared the trends of adoption over time within and across countries. Next, we explored whether differential adoption patterns in the two health systems are associated with differences in volumes and patient characteristics. Finally, we explored the relationship between these adoption patterns and length of stay, 30‐day readmission, and urology follow‐up visits. Data Collection: Open, laparoscopic, and robotic radical prostatectomies are identified using Office of Population Censuses and Surveys Classification of Interventions and Procedures (OPCS) codes in England and International Classification of Diseases ninth revision (ICD9), ICD10, and Current Procedural Terminology (CPT) codes in the United States. Principal Findings: We identified 66,879 radical prostatectomies in England and 79,358 in the United States during 2005–2017. In both countries, open surgery dominates until 2009, where it is overtaken by minimally invasive surgery. The adoption of robotic surgery is faster in the United States. The adoption rates and, as a result, the observed centralization of volume, have been different across countries. In both countries, patients undergoing radical prostatectomies are older and have more comorbidities. Minimally invasive techniques show decreased length of stay and 30‐day readmissions compared to open surgery. In the United States, robotic approaches were associated with lower length of stay and readmissions when compared to laparoscopic. Conclusions: Robotic surgery has become the standard approach for radical proctectomy in the United States and England, showing decreased length of stay and in 30‐day readmissions compared to open surgery. Adoption rates and specialization differ across countries, likely a product of differences in cost‐containment efforts. [ABSTRACT FROM AUTHOR]

Objective: Between January 2005 and July 2020, 171 rural hospitals closed across the United States. Little is known about the extent that other providers step in to fill the potential reduction in access from a rural hospital closure. The objective of this analysis is to evaluate the trends of Federally Qualified Health Centers (FQHCs) and Rural Health Clinics (RHCs) in rural areas prior to and following hospital closure. Data Sources/Study Setting: We used publicly available data from Centers for Medicare and Medicaid Provider of Services files, Cecil G. Sheps Center rural hospital closures list, and Small Area Income and Poverty Estimates. Study Design: We described the trends over time in the number of hospitals, hospital closures, FQHC sites, and RHCs in rural and urban ZIP codes, 2006--2018. We used two-way fixed effects and pooled generalized linear models with a logit link to estimate the probabilities of having any RHC and any FQHC within 10 straight-line miles. Data Collection/Extraction Methods: Not applicable. Principal Findings: Compared to hospitals that never closed, the predicted probability of having any FQHC within 10 miles increased post closure by 5.95 and 11.57 percentage points at 1 year and 5 years, respectively (p < 0.05). The predicted probability of having any RHC within 10 miles was not significantly different following rural hospital closure. A percentage point increase in poverty rate was associated with a 1.98 and a 1.29 percentage point increase in probabilities of having an FQHC or RHC, respectively (p < 0.001). Conclusions: In areas previously served by a rural hospital, there is a higher probability of new FQHC service-delivery sites post closure. This suggests that some of the potential reductions in access to essential preventive and diagnostic services may be filled by FQHCs. However, many rural communities may have a persistent unmet need for preventive and therapeutic care. [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: To test for equivalence between providers with and without advanced degrees in multiple domains related to delivery of evidence-based treatment.Data Source: Provider and client data from an effectiveness trial of Alternatives for Families: A Cognitive Behavioral Therapy (AF-CBT) in a major metropolitan area in the United States.Study Design: We tested for equivalence between providers (N = 182) with and without advanced degrees in treatment-related knowledge, practices, and attitudes; job demands and stress; and training engagement and trainer-rated competence in AF-CBT. We also conducted exploratory analyses to test for equivalence in family clinical outcomes.Data Collection: Providers completed measures prior to randomization and at 6-month follow-up, after completion of training and consultation in AF-CBT. Children and caregivers completed assessments at 0, 6, 12, and 18 months.Principal Findings: Providers without advanced degrees were largely non-inferior to those with advanced degrees in treatment-related knowledge, practices, and attitudes, while findings for job demands and stress were mixed. Providers without advanced degrees were non-inferior to providers with advanced degrees in consultation attendance (B = -1.42; confidence interval (CI) = -3.01-0.16; margin of equivalence (Δ) = 2), number of case presentations (B = 0.64; CI = -0.49-1.76; Δ = 2), total training hours (B = -4.57; CI = -10.52-1.37; Δ = 3), and trainer-rated competence in AF-CBT (B = -0.04; CI = -3.04-2.96; Δ = 4), and they were significantly more likely to complete training (odds ratio = 0.66; CI = 0.10-0.96; Δ = 30%). Results for clinical outcomes were largely inconclusive.Conclusions: Provider-level outcomes for those with and without advanced degrees were generally comparable. Additional research is needed to examine equivalence in clinical outcomes. Expanding evidence-based treatment training to individuals without advanced degrees may help to reduce workforce shortages and improve reach of evidence-based treatments. [ABSTRACT FROM AUTHOR]

Objective: This article employs a best‐worst scaling (BWS) experiment to identify the claims‐based outcomes that matter most to patients and other relevant parties when evaluating pediatric antipsychotic monitoring programs in the United States. Data Sources: Patients and relevant parties, with pediatric antipsychotic oversight and treatment experience, completed a BWS experiment, including policymakers (n = 31), foster care alumni (n = 28), caseworkers (n = 23), prescribing clinicians (n = 32), and caregivers (n = 18). Study Design: Respondents received surveys with a scenario on antipsychotic monitoring programs and ranked 11 candidate claims‐based outcomes as most and least important for program evaluation. Data Analysis: Stratified by respondent group, best‐worst scores were calculated to identify the relative importance of the claims‐based outcomes. A conditional logit examined whether candidate outcomes for safety, quality, and unintended consequences were preferred over reduction in antipsychotic treatment, the outcome used most often to evaluate antipsychotic monitoring programs. Principal Findings: Safety indicators (eg, antipsychotic co‐pharmacy, cross‐class polypharmacy, higher than recommended doses) ranked among the top three candidate outcomes across respondent groups and were an important complement to antipsychotic treatment reduction. Foster care alumni prioritized "antipsychotic treatment reduction" and "increased psychosocial treatment." Caseworkers, prescribers, and caregivers prioritized "increased follow‐up after treatment initiation." Potential unintended consequences of an antipsychotic monitoring program ranked lowest, including increased use of other psychotropic medication classes (as a substitute), increased psychiatric hospital stays, and increased emergency room utilization. Results of the conditional logit model found only caregivers significantly preferred other indicators over antipsychotic treatment reduction, preferring improvements in follow‐up care (5.78) and psychosocial treatment (4.53) and reduction in prescriptions of higher than recommended doses (3.64). Conclusions: The BWS experiment supported rank ordering of candidate claims‐based outcomes demonstrating the opportunity for future studies to align outcomes used in antipsychotic monitoring program evaluations with community preferences, specifically by diversifying metrics to include safety and quality indicators. [ABSTRACT FROM AUTHOR]

Objective: To examine the population-level impacts of the introduction of novel cancer therapies with high cost in the United States, using immunotherapies in advanced nonsmall cell lung cancer (NSCLC) as an example.Data Sources: Surveillance, Epidemiology, and End Results data in 2012-2015 linked to Medicare fee-for-service claims until 2016.Study Design: We examined population-level trends in treatment patterns, survival, and Medicare spending in patients diagnosed with advanced NSCLC, the leading cause of cancer death in the United States, between 2012 and 2015. We estimated the percentage of patients who received any antineoplastic therapy within two years of diagnosis, including novel immunotherapies. We compared the trends in overall survival and mean two-year Medicare spending per each patient before and after the introduction of immunotherapies in 2015.Data Collection/extraction Methods: Not Applicable.Principal Findings: The percentage of patients treated with any antineoplastic therapy remained the same at 46.7% in 2012 and 2015, whereas the use of immunotherapies increased from 0% to 15.2%. The two-year survival rate and median survival increased by 3.3 percentage points (95% CI: 2.0, 4.5) and 0.4 months (CI: 0.0, 0.9), respectively, during the same period. The mean two-year total Medicare spending and outpatient spending per patient increased by $5735 (CI: 3479, 8040) and $7661 (CI: 5902, 9311), respectively, which were largely attributable to the increases in immunotherapy spending by $5806 (CI: 5165, 6459).Conclusions: The introduction of lung cancer immunotherapies was accompanied by improvements in survival and increases in spending between 2012 and 2015 in the Medicare population. As novel immunotherapies and other target therapies continue to change the clinical management of various cancers, further efforts are needed to ensure their effective and efficient use, and to understand their population-level impacts in the United States. [ABSTRACT FROM AUTHOR]

Objective: Building on the original taxonomy of hospital-based health systems from 20 years ago, we develop a new taxonomy to inform emerging public policy and practice developments.Data Sources: The 2016 American Hospital Association's (AHA) Annual Survey; the 2016 IQVIA Healthcare Organizations and Systems (HCOS) database; and the 2017-2018 National Survey of Healthcare Organizations and Systems (NSHOS).Study Design: Cluster analysis of the 2016 AHA Annual Survey data to derive measures of differentiation, centralization, and integration to create categories or types of hospital-based health systems.Data Collection: Principal components factor analysis with varimax rotation generating the factors used in the cluster algorithms.Principal Findings: Among the four cluster types, 54% (N = 202) of systems are decentralized (-0.35) and relatively less differentiated (-0.37); 23% of systems (N = 85) are highly differentiated (1.28) but relatively decentralized (-0.29); 15% (N = 57) are highly centralized (2.04) and highly differentiated (0.65); and approximately 9 percent (N = 33) are least differentiated (-1.35) and most decentralized (-0.64). Despite differences in calculation, the Highly Centralized, Highly Differentiated System Cluster and the Undifferentiated, Decentralized System Cluster were similar to those identified 20 years ago. The other two system clusters contained similarities as well as differences from those 20 years ago. Overall, 82 percent of the systems remain relatively decentralized suggesting they operate largely as holding companies allowing autonomy to individual hospitals operating within the system.Conclusions: The new taxonomy of hospital-based health systems bears similarities as well as differences from 20 years ago. Important applications of the taxonomy for addressing current challenges facing the healthcare system, such as the transition to value-based payment models, continued consolidation, and the growing importance of the social determinants of health, are highlighted. [ABSTRACT FROM AUTHOR]

Objective: To develop outcome measures that are more sensitive than current measures for evaluating primary or transitional care after hospitalizations, emergency department (ED) visits, or observation stays.Data Sources: Medicare claims data from January 1, 2015, to October 31, 2017, for 1 261 707 Medicare fee-for-service beneficiaries served by (a) primary care practices participating in Track 1 of the Comprehensive Primary Care Plus (CPC+) initiative, and (b) their matched comparison practices.Study Design: Given the poor statistical power in many studies to detect effects on readmissions, we developed two novel claims-based measures of unplanned acute care (UAC) following an index acute care event. The first measure assesses the proportion of hospitalizations followed by an unplanned readmission, ED visit, or observation stay within 30 days of discharge; the second assesses the proportion of ED visits and observation stays followed by a hospitalization, ED visit, or observation stay within 30 days. We calculate minimum detectable effects (MDEs) for both measures and for a conventional measure of 30-day unplanned readmissions, using CPC+ data.Principal Findings: Repeat UAC events are common among Medicare beneficiaries served by the CPC+ practices. In 2017, 22% of discharges and 21% of ED visits and observation stays had a UAC event within 30 days. Readmissions were the most common UAC event following discharge, whereas ED visits were most common following index ED visits or observation stays. MDEs are 25%-40% lower for the new measures than for the standard 30-day readmissions measure, indicating better statistical power to detect impacts of primary or transitional care interventions.Conclusions: This study introduces two new claims-based measures to assess quality of care during a patient's vulnerable period following acute care. The new measures complement existing measures, covering a broader range of UAC events than the standard 30-day readmissions measure, and yielding greater statistical power. [ABSTRACT FROM AUTHOR]

Objective: To estimate the impact of the major components of the ACA (Medicaid expansion, subsidized Marketplace plans, and insurance market reforms) on disparities in insurance coverage after three years.Data Source: The 2011-2016 waves of the American Community Survey (ACS), with the sample restricted to nonelderly adults.Design: We estimate a difference-in-difference-in-differences model to separately identify the effects of the nationwide and Medicaid expansion portions of the ACA using the methodology developed in the recent ACA literature. The differences come from time, state Medicaid expansion status, and local area pre-ACA uninsured rates. In order to focus on access disparities, we stratify our sample separately by income, race/ethnicity, marital status, age, gender, and geography.Principal Findings: After three years, the fully implemented ACA eliminated 43% of the coverage gap across income groups, with the Medicaid expansion accounting for this entire reduction. The ACA also reduced coverage disparities across racial groups by 23%, across marital status by 46%, and across age-groups by 36%, with these changes being partly attributable to both the Medicaid expansion and nationwide components of the law.Conclusions: The fully implemented ACA has been successful in reducing coverage disparities across multiple groups. [ABSTRACT FROM AUTHOR]

Objectives: To determine dementia prevalence and costs attributable to dementia using Veterans Health Administration (VHA) data with and without Medicare data.Data Sources: VHA inpatient, outpatient, purchased care and other data and Medicare enrollment, claims, and assessments in fiscal year (FY) 2013.Study Design: Analyses were conducted with VHA data alone and with combined VHA and Medicare data. Dementia was identified from a VHA sanctioned list of ICD-9 diagnoses. Attributable cost of dementia was estimated using recycled predictions.Data Collection: Veterans age 65 and older who used VHA and were enrolled in Traditional Medicare in FY 2013 (1.9 million).Principal Findings: VHA records indicated the prevalence of dementia in FY 2013 was 4.8 percent while combined VHA and Medicare data indicated the prevalence was 7.4 percent. Attributable cost of dementia to VHA was, on average, $10,950 per veteran per year (pvpy) using VHA alone and $6,662 pvpy using combined VHA and Medicare data. Combined VHA and Medicare attributable cost of dementia was $11,285 pvpy. Utilization attributed to dementia using VHA data alone was lower for long-term institutionalization and higher for supportive care services than indicated in combined VHA and Medicare data.Conclusions: Better planning for clinical and cost-efficient care requires VHA and Medicare to share data for veterans with dementia and likely more generally. [ABSTRACT FROM AUTHOR]

Objective: The Affordable Care Act allows insurers to charge up to 50% higher premiums to tobacco users, making tobacco use the only behavioral factor that can be used to rate premiums in the nongroup insurance market. Some states have set more restrictive limits on rating for tobacco use, and several states have outlawed tobacco premium surcharges altogether. We examined the impact of state level tobacco surcharge policy on health insurance enrollment decisions among smokers.Study Design: We compared insurance enrollment in states that did and did not allow tobacco surcharges, using a difference-in-difference approach to compare the policy effects among smokers and nonsmokers. We also used geographic variation in tobacco surcharges to examine how the size of the surcharge affects insurance coverage, again comparing smokers to nonsmokers.Data Collection: We linked data from two components of the Current Population Survey-the 2015 and 2019 Annual Social and Economic Supplement and the Tobacco Use Supplement, which we combined with data on marketplace plan premiums. We also collected qualitative data from a survey of smokers who did not have insurance through an employer or public program.Principal Findings: Allowing a tobacco surcharge reduced insurance enrollment among smokers by 4.0 percentage points (P = .01). Further, smokers without insurance through an employer or public program were 9.0 percentage points less likely (P < .01) to enroll in a nongroup plan if they were subject to a tobacco surcharge. In states with surcharges, enrollment among smokers was 3.4 percentage points lower (P < .01) for every 10 percentage point increase in the tobacco surcharge.Conclusions: Tobacco use is the largest cause of preventable illness in the United States. State tobacco surcharge policy may have a substantial impact on whether tobacco users choose to remain insured and consequently their ability to receive care critical for preventing and treating tobacco-related disease. [ABSTRACT FROM AUTHOR]

Objective: To examine the availability and facility‐level predictors of LGBT‐specific mental health and substance abuse treatment in the United States. Data Sources/Study Setting: 2016 National Survey of Substance Abuse Treatment Services, 2016 National Mental Health Service Survey, and 2015‐2016 Gallup Daily tracking survey. Study Design: Logistic regression models and average marginal effects were used to identify characteristics of facilities that offer LGBT‐specific programs. Linear regression models were used to estimate the association between the state‐level proportion of LGBT people and the proportion of facilities that offer LGBT‐specific programs. Data Collection/Extraction Methods: Secondary data analysis. Cases with missing values for any predictor were excluded. Principle Findings: 12.6 percent of mental health and 17.6 percent of substance abuse facilities reported LGBT‐specific programs. Several facility characteristics were statistically associated with the likelihood of mental health and substance abuse facilities providing LGBT‐specific programs, including offering outpatient or residential treatment, private ownership, religious affiliation, and payment type. The proportion of LGBT adults living within each state was statistically associated with state‐level density of LGBT‐specific mental health programs, but not substance abuse programs. Conclusions: Findings suggest limited availability of culturally competent mental health and substance abuse treatment, despite well‐documented need. [ABSTRACT FROM AUTHOR]

The article discusses the role of state regulators and insurance companies in the U.S. in the U.S. Affordable Care Act to shape the markets and determine insurance plan affordability by referring to the article, Individual Market Health Plan Affordability after Cost Sharing Reduction Subsidy Cuts, published within the issue. Topics discussed include the affordability of the individual health insurance market, the termination of payments for cost-sharing reduction, and Medicaid expansion.

Objective: To examine the effects of hospital and insurer markets concentration on transaction prices for inpatient hospital services.Data Sources: Measures of hospital and insurer markets concentration derived from American Hospital Association and HealthLeaders-InterStudy data are linked to 2005-2008 inpatient administrative data from Truven Health MarketScan Databases.Study Design: Uses a reduced-form price equation, controlling for cost and demand shifters and accounting for possible endogeneity of market concentration using instrumental variables (IV) technique.Principal Findings: The findings suggest that greater hospital concentration raises prices, whereas greater insurer concentration depresses prices. A hypothetical merger between two of five equally sized hospitals is estimated to increase hospital prices by about 9 percent (p < .001). A similar merger of insurers would depress prices by about 15.3 percent (p < .001). Over the 2003-2008 periods, the estimates imply that hospital consolidation likely raised prices by about 2.6 percent, while insurer consolidation depressed prices by about 10.8 percent. Additional analysis using longer panel data and applying hospital fixed effects confirms the impact of hospital concentration on prices.Conclusion: The findings provide support for strong antitrust enforcement to curb rising hospital service prices and health care costs. [ABSTRACT FROM AUTHOR]

Objective: To test how Certificate of Need laws affect all‐cause mortality in the United States. Data Sources: The data of 1992–2011 all‐cause mortality are from the Center for Disease Control's Compressed Mortality File; control variables are from the Current Population Survey, Behavioral Risk Factor Surveillance System, and Area Health Resources File; and data on Certificate of Need laws are from Stratmann and Russ ( ). Study design: Using fixed‐ and random‐effects regressions, I test how the scope of state Certificate of Need laws affects all‐cause mortality within US counties. Principal Findings: Certificate of Need laws have no statistically significant effect on all‐cause mortality. Point estimates indicate that if they have any effect, they are more likely to increase mortality than decrease it. Conclusions: Proponents of Certificate of Need laws have claimed that they reduce mortality by concentrating more care into fewer, larger facilities that engage in learning‐by‐doing. However, I find no evidence that these laws reduce all‐cause mortality. [ABSTRACT FROM AUTHOR]

The authors analyze the relationship between acute and postacute medical care in the U.S. The authors discuss the problems associated with patient transition between acute and postacute care settings and the medical policies that have been implemented to reduce fragmentation between the two patient care settings. They recommend their own solutions to reducing fragmentation, including integrating acute and postacute care into a single financial entity.

Background: Prior authorization of prescription medications is a policy tool that can potentially impact care quality and patient safety.Objective: To examine the effectiveness of a mandatory peer-review program in reducing antipsychotic prescriptions among Medicaid-insured children, accounting for secular trends that affected antipsychotic prescribing nationally.Data Source: Medicaid Analytical eXtracts (MAX) with administrative claims for health services provided between January 2006 and December 2011.Study Design: This retrospective, observational study examined prescription claims records from Washington State (Washington) and compared them to a synthetic control drawing from 20 potential donor states that had not implemented any antipsychotic prior authorization program or mandatory peer review for Medicaid-insured children during the study period. This method provided a means to control for secular trends by simulating the antipsychotic use trajectory that the program state would have been expected to experience in the absence of the policy implementation.Principal Findings: Before the policy implementation, antipsychotic use prevalence closely tracked those of the synthetic control (6.17 per 1000 in Washington vs. 6.21 in the synthetic control group). Within two years after the policy was implemented, prevalence decreased to 4.04 in Washington and remained stable in the synthetic control group (6.47), corresponding to an approximately 38% decline.Conclusion: Prior authorization program designs and implementations vary widely. This mandatory peer-review program, with an authorization window and two-stage rollout, was effective in moving population level statistics toward safe and judicious use of antipsychotic medications in children. [ABSTRACT FROM AUTHOR]

Objective: To understand the effect of physician payment incentives on the allocation of health care resources.Data Sources/study Setting: Review and analysis of the literature on physician payment incentives.Study Design: Analysis of current physician payment incentives and several ways to modify those incentives to encourage increased efficiency.Principal Findings: Fee-for-service payments can be incorporated into systems that encourage efficient pricing - prices that are close to the provider's marginal cost - by giving consumers information on provider-specific prices and a strong incentive to choose lower cost providers. However, efficient pricing of services ultimately will need to be supplemented by incentives for efficient production of health and functional status.Conclusions: The problem with current FFS payment is not paying a fee for each service, per se, but the way in which the fees are determined. [ABSTRACT FROM AUTHOR]

Objective: To provide new evidence on the effects of large-scale public health insurance expansions, associated with the Affordable Care Act (ACA), on the availability of specialty mental health care treatment in the United States. We measure availability with the probability that a provider accepts Medicaid.Data Source/study Setting: The National Mental Health Services Survey (N-MHSS) 2010-2018.Study Design: A quasi-experimental differences-in-differences design using observational data.Data Collection: The N-MHSS provides administrative data on the universe of specialty mental health care providers in the United States. Response rates are above 90 percent in all years. Data cover 85 019 provider/year observations.Principal Findings: ACA-Medicaid expansion increases the probability that a provider accepts Medicaid by 1.69 percentage points, 95 percent confidence interval: [0.0017,0.0321], which corresponds to an increase from 87.27 percent pre-expansion to 90.27 percent postexpansion in expansion states or a 1.94 percent increase. We observe spillovers to Medicare, although this finding is sensitive to specification.Conclusions: This study provides evidence on the impact of ACA-Medicaid expansion on accepted forms of payment for specialty mental health care treatment. Findings suggest that expansion increases availability of providers who deliver valuable care for enrollees with severe mental illness. These findings may help policy makers reflecting on the future directions of the US health care delivery system. [ABSTRACT FROM AUTHOR]

Objective: We aim to assess whether system providers perform better than nonsystem providers under an alternative payment model that incentivizes high-quality, cost-efficient care. We posit that the payment environment and the incentives it provides can affect the relative performance of vertically integrated health systems. To examine this potential influence, we compare system and nonsystem hospitals participating in Medicare's Comprehensive Care for Joint Replacement (CJR) model.Data Sources: We used hospital cost and quality data from the Centers for Medicare & Medicaid Services linked to data from the Agency for Healthcare Research and Quality's Compendium of US Health Systems and hospital characteristics from secondary sources. The data include 706 hospitals in 67 metropolitan areas.Study Design: We estimated regressions that compared system and nonsystem hospitals' 2017 cost and quality performance providing lower joint replacements among hospitals required to participate in CJR.Principal Findings: Among CJR hospitals, system hospitals that provided comprehensive services in their local market had 5.8 percent ($1612) lower episode costs (P = .01) than nonsystem hospitals. System hospitals that did not provide such services had 3.5 percent ($967) lower episode costs (P = .14). Quality differences between system hospitals and nonsystem hospitals were mostly small and statistically insignificant.Conclusions: When operating under alternative payment model incentives, vertical integration may enable hospitals to lower costs with similar quality scores. [ABSTRACT FROM AUTHOR]

Objective: To evaluate episode-based payments for upper respiratory tract infections (URI) and perinatal care in Arkansas's Medicaid population.Study Setting: Upper respiratory infection and perinatal episodes among Medicaid-covered individuals in Arkansas and comparison states from fiscal year (FY) 2011 to 2014.Study Design: Cross-sectional observational analysis using a difference-in-difference design to examine outcomes associated with URI and perinatal episodes of care (EOC) from 2011 to 2014. Key dependent variables include antibiotic use, emergency department visits, physician visits, hospitalizations, readmission, and preventive screenings.Data Collection: Claims data from the Medicaid Analytic Extract for Arkansas, Mississippi, and Missouri from 2010 to 2014 with supplemental county-level data from the Area Health Resource File (AHRF).Principal Findings: The URI EOC reduced the probability of antibiotic use (marginal effect [ME] = -1.8, 90% CI: -2.2, -1.4), physician visits (ME = 0.6, 90% CI: -0.8, -0.4), improved the probability of strep tests for children diagnosed with pharyngitis (ME = 9.4, 90% CI: 8.5, 10.3), but also increased the probability of an emergency department (ED) visit (ME = 0.1, 90% CI: 0.1, 0.2), relative to the comparison group. For perinatal EOCs, we found a reduced probability of an ED visit during pregnancy (ME = 0.1, 90% CI: -0.2, -0.0), an increased probability of screening for HIV (ME = 6.2, 90% CI: 4.0, 8.5), chlamydia (ME = 9.5, 90% CI: 7.2, 11.8), and group B strep-test (ME = 2.6, 90% CI: 0.5, 4.6), relative to the comparison group. Predelivery and postpartum hospitalizations also increased (ME = 1.2, 90% CI: 0.4, 2.0; ME = 0.4, 90% CI: 0.0, 0.8, respectively), relative to the comparison group.Conclusion: Upper respiratory infection and perinatal EOCs for Arkansas Medicaid beneficiaries produced mixed results. Aligning shared savings with quality metrics and cost-thresholds may help achieve quality targets and disincentivize over utilization within the EOC, but may also have unintended consequences. [ABSTRACT FROM AUTHOR]

Objective: To assess the extent to which all-cause 30-day readmission rate varies by Medicare program within the same hospitals.Study Design: We used conditional logistic regression clustered by hospital and generalized estimating equations to compare the odds of unplanned all-cause 30-day readmission between Medicare Fee-for-Service (FFS) and Medicare Advantage (MA).Data Collection: Wisconsin Health Information Organization collects claims data from various payers including private insurance, Medicare, and Medicaid, twice a year.Principal Findings: For 62 of 66 hospitals, hospital-level readmission rates for MA were lower than those for Medicare FFS. The odds of 30-day readmission in MA were 0.92 times lower than Medicare FFS within the same hospital (odds ratio, 0.93; 95 percent confidence interval, 0.89-0.98). The adjusted overall readmission rates of Medicare FFS and MA were 14.9 percent and 11.9 percent, respectively.Conclusion: These findings provide additional evidence of potential variations in readmission risk by payer and support the need for improved monitoring systems in hospitals that incorporate payer-specific data. Further research is needed to delineate specific care delivery factors that contribute to differential readmission risk by payer source. [ABSTRACT FROM AUTHOR]

Objective: To develop a cardiovascular disease (CVD) risk score that can be used to quantify CVD risk in the Medicare Current Beneficiary Survey (MCBS).Data Sources: We used 1999-2013 MCBS data.Study Design: We used a backward stepwise approach and cox proportional hazards regressions to build and validate a new CVD risk score, similar to the Framingham Risk Score (FRS), using only information available in MCBS. To assess its performance, we calculated C statistics and examined calibration plots.Data Collection/extraction Methods: We studied 21 968 community-dwelling Medicare beneficiaries aged 65 years or older without pre-existing CVD. We obtained risk factors from both survey and claims data. We used claims data to derive "CVD event within 3 years" following the FRS definition of CVD.Principal Findings: About five percent of MCBS participants developed a CVD event over a mean follow-up period of 348 days. Our final MCBS-based model added morbidity burden, reported general health status, and functional limitation to the traditional FRS predictors of CVD. This model had relatively fair discrimination (C statistic = 0.69; 95% confidence interval [CI], 0.67-0.71) and performed well on validation (C = 0.68; CI, 0.66-0.70). More importantly, the plot of observed CVD outcomes versus predicted ones showed that this model had a good calibration.Conclusions: Our new CVD risk score can be calculated using MCBS data, thereby extending the survey's ability to quantify CVD risk in the Medicare population and better inform both health policy and health services research. [ABSTRACT FROM AUTHOR]

Objective: To assess the impact of nonphysician providers on measures of spatial access to primary care in Iowa, a state where physician assistants and advanced practice registered nurses are considered primary care providers.Data Sources: 2017 Iowa Health Professions Inventory (Carver College of Medicine), and minor civil division (MCD) level population data for Iowa from the American Community Survey.Study Design: We used a constrained optimization model to probabilistically allocate patient populations to nearby (within a 30-minute drive) primary care providers. We compared the results (across 10 000 scenarios) using only primary care physicians with those including nonphysician providers (NPPs). We analyze results by rurality and compare findings with current health professional shortage areas.Data Collection/extraction Methods: Physicians and NPPs practicing in primary care in 2017 were extracted from the Iowa Health Professions Inventory.Principal Findings: Considering only primary care physicians, the average unallocated population for primary care was 222 109 (7 percent of Iowa's population). Most of the unallocated population (86 percent) was in rural areas with low population density (< 50/square mile). The addition of NPPs to the primary care workforce reduced unallocated population by 65 percent to 78 252 (2.5 percent of Iowa's population). Despite the majority of NPPs being located in urban areas, most of the improvement in spatial accessibility (78 percent) is associated with sparsely populated rural areas.Conclusions: The inclusion of nonphysician providers greatly reduces but does not eliminate all areas of inadequate spatial access to primary care. [ABSTRACT FROM AUTHOR]

Objective: To quantify the effects of the Affordable Care Act Medicaid expansion on prescriptions for effective breast cancer hormonal therapies (tamoxifen and aromatase inhibitors) among Medicaid enrollees.Data Source/study Setting: Medicaid State Drug Utilization Database (SDUD) 2011-2018, comprising the universe of outpatient prescription medications covered under the Medicaid program.Study Design: Differences-in-differences and event-study linear models compare population rates of tamoxifen and aromatase inhibitor (anastrozole, exemestane, and letrozole) use in expansion and nonexpansion states, controlling for population characteristics, state, and time.Principal Findings: Relative to nonexpansion states, Medicaid-financed hormonal therapy prescriptions increased by 27.2 per 100 000 nonelderly women in a state. This implies a 28.8 percent increase from the pre-expansion mean of 94.2 per 100 000 nonelderly women in expansion states. The event-study model reveals no evidence of differential pretrends in expansion and nonexpansion states and suggests use grew to 40 or more prescriptions per 100 000 nonelderly women 3-5 years postexpansion.Conclusions: Medicaid expansion may have had a meaningful impact on the ability of lower-income women to access effective hormonal therapies used to treat breast cancer. [ABSTRACT FROM AUTHOR]

Objective: To examine the associations between Medicaid expansion and nurse staffing ratios and hospital-wide readmission rates.Data Sources: Secondary data from the 2011-2016 Healthcare Cost Report Information System, the American Hospital Association Annual Survey, and the Hospital Compare data.Study Design: Difference-in-difference models are used to compare outcomes in hospitals located in states that expanded Medicaid with those located in nonexpansion states. The changes in nurse staffing ratios and hospital-wide readmission rates are calculated in each one of the postexpansion years (2014, 2015, and 2016), compared to pre-expansion.Principal Findings: Results indicate that nurse staffing ratios increased, whereas hospital-wide readmission rates declined in expansion states relative to nonexpansion states. Nurse staffing ratios increased by 0.33, 0.42, and 0.46 registered nurses hours per adjusted patient days in 2014, 2015, and 2016 in hospitals located in expansion states, compared with hospitals in nonexpansion states after expansion. This increase was statistically significant (P < .001) in 2015 and 2016, but marginally significant (P = .016) in 2014. Hospital-wide readmission rates statistically significantly decreased by 9, 16, and 18 per 10 000 patients (P < .001) in 2014, 2015, and 2016, respectively, in expansion vs nonexpansion states hospitals after expansion.Conclusions: Medicaid expansion was associated with gradually improved hospitals' nurse staffing ratios and hospital-wide readmission rates from 2014 through 2016. The continued monitoring of quality measures of hospitals can help assess the impact of Medicaid expansion over a longer period of time. [ABSTRACT FROM AUTHOR]

An introduction is presented in which the editor discusses various reports within the issue on topics including the Massachusetts Health Reform Survey, self-reported health measures in predicting individuals with high future health care needs, and the American Community Survey and the Survey of Income Program Participation.

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 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]

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]

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]

This article focuses on quality improvement in medical care in the U.S. Efforts, particularly in the last decade or so that have been undertaken to improve the quality and efficiency of medical care. Changing the behavior of physicians and other health care workers is at the crux of many of these efforts. Clinical pathways and computerized decision support have been advocated to improve adherence with practice guidelines, and Quality Improvement Organizations have been charged with assisting providers in quality improvement activities. Clinical pathways, structured care plans that note the essential elements of care by hospital day, have been widely used by hospitals in efforts to improve the quality and efficiency of care.

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.