Supporting evidence-informed policy making in rehabilitation: A logic framework for continuous improvement of rehabilitation programs

Carla Sabariego, Jerome Bickenbach and Gerold Stucki

Health Policy, 2022, vol. 126, issue 3, 152-157

Abstract: Because of important health and population trends, rehabilitation is a key health strategy of the 21st century, and efforts are being made towards a broader integration of rehabilitation into health systems worldwide. In the scope of the call for action Rehabilitation 2030, WHO recommends a logic model approach for monitoring and evaluating national efforts at the systems level. In this paper we argue that as strengthening rehabilitation in health systems will require countries to implement a range of new programs, sound logic models designed to monitor and evaluate rehabilitation programs at service level are needed as well. We therefore propose in this paper an overarching logic model for monitoring and evaluating rehabilitation programs, including feasible indicators, options for their operationalization and considerations about data analyses. Our overarching logic model for monitoring and evaluation at service level is suitable to structure national clinical quality management for continuous improvement, to inform policy making and programming at the national level, and to serve as a reference framework for research. The model will serve as a starting point for developing other logic models that fit specific features of rehabilitation programs in diverse settings and countries.

Keywords: Rehabilitation; Logic model; Healthcare Quality Assurance; Evidence-Based Practice; Learning Health System (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:hepoli:v:126:y:2022:i:3:p:152-157

DOI: 10.1016/j.healthpol.2021.11.007

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