A review of socioeconomic factors associated with acute myocardial infarction-related mortality and hospital readmissions

Cardiac rehabilitation: the gateway for secondary prevention

Cardiac rehabilitation (CR) is a multidisciplinary supervised programme which typically consists of tailored exercise and education on lifestyle management and risk factor modification in cardiac patients. Participation in CR reduces morbidity and mortality, while improving quality of life following major cardiovascular events. Despite the benefits of CR, it is underutilised, generally in the 20%-30% range for eligible patients. Participation and adherence rates are particularly suboptimal in vulnerable populations, such as those of lower socioeconomic status and women. Interventions such as automated referral to CR or hybrid/virtual programmes can increase enrolment to CR. This review summarises the components of CR and provides recommendations for providers regarding participation and adherence. To better engage a larger proportion of CR-eligible patients, CR programmes may need to expand or adjust ways to deliver secondary prevention.

A Novel Approach to Developing Disease and Outcome-Specific Social Risk Indices

INTRODUCTION

A variety of industry composite indices are employed within health research in risk-adjusted outcome measures and to assess health-related social needs. During the COVID-19 pandemic, the relationships among risk adjustment, clinical outcomes, and composite indices of social risk have become relevant topics for research and healthcare operations. Despite the widespread use of these indices, composite indices are often comprised of correlated variables and therefore may be affected by information duplicity of their underlying risk factors.

METHODS

A novel approach is proposed to assign outcome- and disease group-driven weights to social risk variables to form disease and outcome-specific social risk indices and apply the approach to the county-level Centers for Disease Control and Prevention social vulnerability factors for demonstration. The method uses a subset of principal components reweighed through Poisson rate regressions while controlling for county-level patient mix. The analyses use 6,135,302 unique patient encounters from 2021 across seven disease strata.

RESULTS

The reweighed index shows reduced root mean squared error in explaining county-level mortality in five of the seven disease strata and equivalent performance in the remaining strata compared with the reduced root mean squared error using the current Centers for Disease Control and Prevention Social Vulnerability Index as a benchmark.

CONCLUSIONS

A robust method is provided, designed to overcome challenges with current social risk indices, by accounting for redundancy and assigning more meaningful disease and outcome-specific variable weights.