Searching for alternative health and social care integration measurement tools – a rapid review of the existing systematic models

Abstract

Purpose: Health care integration is crucial in improving service equality and patient outcomes. However, measuring integration between the health and social care sectors remains challenging. This article aims to review existing systematic models to identify alternative health and social care integration measurement tools. The review focuses on models that involve systematic planning and long-term cooperation across different organizational sectors. Design/methodology/approach: The study examines various dimensions and elements of integration, including process, outcome and structural measures. It compares different tools used to measure social and health care integration, such as the Rainbow model, Balanced Scorecard (BSC) Scorecard, PRISMA, SCIROCCO, integRATE, health-data simulation (HSIM) and the model developed by Åhgren and Axelsson. The analysis includes both empirical studies and theoretical frameworks. Findings: The findings highlight the importance of standardized measurement methods to assess the impact of integration initiatives on patient outcomes, healthcare costs and the quality of care. Originality/value: The review contributes to the ongoing discourse on social and health care integration, particularly in the Nordic context. The results can inform social and healthcare providers, policymakers and researchers in evaluating and improving integration initiatives.