Building alternative payment models in health care.

Introduction: Global interest is growing in new value-based models of financing, delivering, and paying for health care services that could produce higher-quality and lower cost outcomes for patients and for society. However, research indicates evidence gaps in knowledge related to alternative payment models (APMs) in early experimentation phases or those contracted between private insurers and their health care provider-partners. The aim of this research was to understand and update the literature related to learning how industry experts design and implement APMs, including specific elements of their models and their choice of stakeholders to be involved in the design and contractual details. Methods: A literature review was conducted to guide the research focus and to select themes. The sample was selected using snowball sampling to identify subject matter experts (SMEs). Researchers conducted 16 semi-structured interviews with SMEs in the US, the Netherlands, and Germany in September and October 2021. Interviews were transcribed and using Braun and Clarke's six-phase approach to thematic analysis, researchers independently read, reviewed, and coded participants' responses related to APM design and implementation and subsequently reviewed each other's codes and themes for consistency. Results: Participants represented diverse perspectives of the payer, provider, consulting, and government areas of the health care sector. We found design considerations had five overarching themes: (1) population and scope of care and services, (2) benchmarking, metrics, data, and technology; (3) finance, APM type, risk adjustment, incentives, and influencing provider behavior, (4) provider partnerships and the role of physicians, and (5) leadership and regulatory issues. Discussion: This study confirmed several of the core components of APM model designs and implementations found in the literature and brought insights on additional aspects not previously emphasized, particularly the role of physicians (especially in leadership) and practice transformation/care processes necessary for providers to thrive under APM models. Importantly, researchers found significant concerns relevant for policymakers about regulations relating to health data sharing, rigid price-setting, and inter-organizational data communication that greatly inhibit the ability to experiment with APMs and those models' abilities to succeed long-term.

Neighborhood Context as a Barrier to Sport Participation for Girls: Evidence From a Sport Diversity Index.

BACKGROUND: Evidence suggests neighborhood contexts play a vital role in shaping the availability and diversity of youth sport and participation rates, especially for African American or Black girls. Currently, no index captures interscholastic sport opportunities (eg, sport diversity) within and across school districts and specifically applied to African American or Black girls. OBJECTIVE: To visualize the inequalities present in interscholastic sport opportunities for girls across school districts using a novel index in a selected study area of St Louis City and County, Missouri, and discuss the implications for African American or Black girls. DESIGN: Cross-sectional study. SETTING: Database secondary analysis. PATIENTS OR OTHER PARTICIPANTS: Data for 47 public high schools in the 23 St Louis City and County school districts. MAIN OUTCOME MEASURE(S): We gathered data from the 2014-2018 American Community Survey and Missouri State High School Activities Association. We assessed sport diversity for girls by constructing a sport diversity index (SDI) that uses an entropy index as its foundation. Census-tract data were used to examine the association with neighborhood demographics and contributors to school district income and sport diversity. Descriptive spatial statistics were calculated to evaluate distributions in St Louis City and County, with the bivariate local indicator of spatial autocorrelation used to determine any correlations between variables of interest. RESULTS: The St Louis City school district, which has areas with high rates of renter-occupied housing and poverty and high percentages of non-Hispanic African American or Black students, had the lowest SDI for girls, contrasted with the school districts in St Louis County, which showed an inverse pattern on average. The SDI for girls was correlated with the percentages of renter-occupied housing and poverty. The SDI for girls was also correlated with race: an increasing presence of the non-Hispanic African American or Black population was associated with decreased sport diversity for girls. CONCLUSIONS: The SDI for girls demonstrated a spatial association with neighborhood-level determinants of sport-opportunity availability for non-Hispanic African American or Black girls in St Louis. The role of social and political determinants of health in shaping community context and resultant health in athletic training research, policy, and practice should be considered.

Preconception health indicators among adult US men: Race/ethnicity variations and temporal trends.

BACKGROUND: Preconception health is important for men as it is for women. However, optimizing preconception health is understudied among men. OBJECTIVES: To examine the time trends and temporal shifts in preconception health risk indicators among 20-44-year-old adult US men in need of preconception care and their racial/ethnic variations. MATERIALS AND METHODS: Data from the 2011-2019 National Survey of Family Growth male file was used to estimate the prevalence of nine preconception health indicators among men (20-44 years) intending to have a future pregnancy (n = 6813), stratifying by race/ethnicity, and assessing temporal changes across the study period. Binary logit and linear regression models estimated temporal trends from 2011-2013 to 2017-2019. Absolute and relative changes were estimated to detect temporal shifts in men's preconception health comparing 2011-2013 to 2017-2019. RESULTS: Men in all groups exhibited substantial preconception health needs, with unique trends across race/ethnicity groups. Between 2011 and 2019, the prevalence of marijuana use (28.6%-39.4%, p = 0.001), overweight/obese status (60.7%-65.1%, p ≤ 0.001), and the mean number of preconception health indicators (M = 2.69-2.84, p = 0.018) increased. Among non-Hispanic White men, the prevalence of marijuana use (30.1%-41.4%, p = 0.028), overweight/obese status (60.6%-63.7%, p = 0.002), and mean number of preconception health risk indicators (M = 2.74-2.90, p = 0.033) increased. Among Hispanic men, the prevalence of inconsistent/no condom use (68.9%-81.4%, p = 0.022), marijuana use (18.9%-40.4%, p = 0.001), and the mean number preconception health risk indicators (M = 2.50-2.96, p = 0.014) increased. Among non-Hispanic Black men, sexually transmitted infections declined (5.4%-3.6%, p = 0.002). Significant temporal shifts, which varied by race/ethnicity, were also observed. DISCUSSION AND CONCLUSION: Our study, which provides initial insight into men's preconception health development in the last decade, highlights a tremendous need for preconception health care among men. Their increasing preconception health needs, and their racial/ethnic variations, suggest additional contributors to racial/ethnic differences in men's reproductive outcomes and their long-term health.