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Article
Publication date: 18 January 2022

Eduard Schmidt, Jelmer Schalk, Marlieke Ridder, Suzan van der Pas, Sandra Groeneveld and Jet Bussemaker

This illustrative case study describes and evaluates drivers of effective inter-organizational collaboration to mitigate the impact and spread of COVID-19 among homeless people in…

Abstract

Purpose

This illustrative case study describes and evaluates drivers of effective inter-organizational collaboration to mitigate the impact and spread of COVID-19 among homeless people in two cities in the Netherlands. The aims of this study are: (1) to explore the strategic and operational policy responses in two local integrated care settings at the start of the crisis, (2) to identify best policy practices and lessons learned. The authors interpret and evaluate the findings by combining insights from the population health management (PHM) and collaborative governance literature.

Design/methodology/approach

The authors describe and illustrate the experiences of two Dutch municipalities, Rotterdam and The Hague, in the early policy responses to sudden operational challenges around the impact of COVID-19 on homeless people as experienced by local decision-makers, medical doctors and clients.

Findings

The authors show that best policy practices revolve around (1) using data and risk stratification methods for identifying and targeting populations at-risk in local policy making, and (2) having an inter-organizational data sharing architecture in place ex ante. These two factors were clear prerequisites for tailor-made policy responses for newly-defined groups at risk with the existing and well-documented vulnerable population, and executing crisis-induced tasks efficiently.

Originality/value

This paper is among the first to illustrate the potential of combining collaborative governance and PHM perspectives to identify key drivers of effective local governance responses to a healthcare crisis in an integrated care setting.

Details

Journal of Health Organization and Management, vol. 36 no. 5
Type: Research Article
ISSN: 1477-7266

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