Describing Total Population Health: A Review and Critique of Existing Units

Defining Pooled' Place-Based' Budgets for Health and Social Care: A Scoping Review

Introduction

Current descriptions of pooled budgets in the literature pose challenges to good quality evaluation of their contribution to integrated care. Addressing this gap is increasingly important given the shift from early models of integrated care targeting segments of the population, to more recent approaches that aim to target 'places', broader geographically defined populations. This review draws on the current international evidence to describe practical examples of pooled health and social care budgets, highlighting specific place-based approaches.

Methods

We initially conducted a scoping review, a systematic database search ('Medline', 'Embase', 'Econ Lit' and 'Google Scholar') complemented by further snowballing for academic and 'grey literature' publications (1995 - 2020). Results were analysed thematically according to budget characteristics and macro-environment, with additional specific case studies.

Results

Thirty-six primary studies were included, describing ten broad models of pooled budgets across seven countries. Most budgets targeted specific sub-populations rather than an entire geographically defined population. Specific budget structures varied and were generally under-described. The closest place-based models were for small populations and implemented in a national health system, or insurance-based with natural geographical boundaries.

Conclusion

Despite their increasing relevance in the current political debate, pooled place-based budgets are still at an early stage of implementation and research. Adequate description is required for future meta-analysis of effectiveness on outcomes.

Quality Through Coopetition: An Empiric Approach to Measure Population Outcomes for Emergency Care-Sensitive Conditions

STUDY OBJECTIVE

We develop a novel approach for measuring regional outcomes for emergency care-sensitive conditions.

METHODS

We used statewide inpatient hospital discharge data from the Pennsylvania Healthcare Cost Containment Council. This cross-sectional, retrospective, population-based analysis used International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes to identify admissions for emergency care-sensitive conditions (ischemic stroke, ST-segment elevation myocardial infarction, out-of-hospital cardiac arrest, severe sepsis, and trauma). We analyzed the origin and destination patterns of patients, grouped hospitals with a hierarchical cluster analysis, and defined boundary shapefiles for emergency care service regions.

RESULTS

Optimal clustering configurations determined 10 emergency care service regions for Pennsylvania.

CONCLUSION

We used cluster analysis to empirically identify regional use patterns for emergency conditions requiring a communitywide system response. This method of attribution allows regional performance to be benchmarked and could be used to develop population-based outcome measures after life-threatening illness and injury.

Nonprofit Hospitals' Process for Community Health Improvement: A Qualitative Study of Leading Practices and Missing Links

Nonprofit hospitals and health systems spend more than $4 billion each year on community health improvement, yet little is known about the internal process that these organizations follow when implementing these efforts. Because of laws governing tax-exempt health care organizations, both the process these hospitals use to identify community health needs and their annual expenditure of community benefit dollars are known. Yet much else about the process of community health improvement is largely unknown. This study uses data from semi-structured interviews with 38 directors of community health efforts at nonprofit hospitals and health systems to describe the internal procedures that nonprofit hospitals and health systems follow when implementing community health efforts, with the goal of identifying both leading practices and areas in need of greater attention. Interviews were analyzed using open and axial coding. Results show hospitals' community health improvement efforts have 7 distinct stages: budgeting, assessing needs, developing strategy, allocating resources, implementing programs, evaluating, and communicating results. Two of these stages, assessing needs and communicating results, are similar across most organizations - most likely a result of federal regulations. Other stages, especially budgeting, allocating resources, and evaluating programs, show high variation across organizations and often lack a formal process. Several leading practices were identified for each stage, but community health efforts currently lack structure within many organizations and are not designed for improvement over time. To better leverage the resources available from nonprofit hospitals, the less public-facing aspects of community benefit will require more study and perhaps additional regulation.

Measuring Population Health from a Broader Perspective: Assessing the My Quality of Life Questionnaire

Introduction

Population health perspectives increasingly focus on people's perception of resilience, ability to adapt and self-manage. The goal of this study is to determine whether the MijnKwaliteitVanLeven.nl ("MyQualityOfLife.nl") survey is a valid and reliable instrument for assessing the broader health perspectives at population level.

Methods

19,809 entries of the MyQualityOfLife.nl survey were used. To assess face validity, Huber's six dimensions of positive health were used as a framework for expert feedback. A confirmative factor analyses was done using the expert's item clustering, followed by data-driven explorative factor analyses and reliability tests.

Results

Experts distributed 74 of the 118 items over all six dimensions of positive health. The confirmatory factor analysis model based on expert classification was not confirmed. The subsequent exploratory factor analysis excluded most items based on factor loading and suggested two factors; 'quality of life' and 'daily functioning', both showing excellent reliability.

Conclusion

The MyQualityOfLife.nl survey can assess the broader concept of health in a population as well as 'quality of life' and 'daily functioning'. However, the survey can currently not evaluate several of the positive health dimensions separately. Further research is needed to determine whether this is due to the instrument or the positive health dimensions.

Quality of Care Improves for Patients with Diabetes in Medicare Shared Savings Accountable Care Organizations: Organizational Characteristics Associated with Performance

Accountable care organizations (ACOs), a primary care-centric delivery and payment model, aim to promote integrated population health, which may improve care for those with chronic conditions such as diabetes. Research has shown that, overall, the ACO model is effective at reducing costs, but there is substantial variation in how effective different types of ACOs are at impacting costs and improving care delivery. This study examines how ACO organizational characteristics - such as composition, staffing, care management, and experiences with health reform - were associated with quality of care delivered to patients with diabetes. Secondary data were analyzed retrospectively to examine Medicare Shared Savings Program (MSSP) ACOs' performance on diabetes metrics in the first 2 years of ACO contracts. Ordinary least squares was used to analyze 162 MSSP ACOs with publicly available performance data and the National Survey of ACOs. ACOs improved performance significantly for patients with diabetes between contract years 1 and 2. In year 1, also having a private payer contract and an increased number of services within the ACO were positively associated with performance, while having a community health center or a hospital were negatively associated with performance. Better performance in year 1 was negatively associated with improved performance in year 2. This study found that ACOs substantively improved diabetes management within initial contract years. ACOs may need different types of support throughout their contracts to ensure continued improvements in performance.