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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.

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.

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.

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.

The purpose of this study was to elucidate facilitators and barriers to health system resilience and resilient responses at local and regional levels during the first year of the COVID-19 pandemic in Finland.

The authors utilized a qualitative research approach and conducted semi-structured interviews (n = 32) with study participants representing five different regions in Finland. Study participants were recruited using purposive and snowball sampling. All study participants had been in management and civil servant positions during the first year of the pandemic, representing municipalities, municipalities' social and healthcare services, hospital districts and regional state administrative agencies. All interviews were completed remotely from April to December 2021 and the recordings transcribed verbatim. The authors coded the transcripts in ATLAS.ti 9.1 using directed content analysis.

The findings highlighted a wide range of localized responses to the pandemic in Finland. Facilitators to health system resilience included active networks of cooperation, crisis anticipation, transitioning into crisis leadership mode, learning how to incorporate new modes of operation, as well as relying on the competencies and motivation of health workforce. The authors found several barriers to health system resilience, including fragmented organization and management particularly in settings where integrated health care systems were not in place, insufficient preparedness to a prolonged crisis, lack of reliable information regarding COVID-19, not having plans in place for crisis communication, pandemic fatigue, and outflux of health workforce to other positions with better compensation and working conditions.

Factors affecting health system resilience are often studied at the aggregate level of a nation. This study offers insights into what resilient responses look like from the perspective of local and regional actors in a decentralized health system. The results highlight that local capacities and context matter greatly for resilience. The authors call for more nuanced analyses on health systems and health system resilience at the sub-national level.