Dataset Information


Development of a program theory for clinical pathways in hospitals: protocol for a realist review.

ABSTRACT: BACKGROUND:Despite the increased utilization of clinical pathways (CPWs) as a strategy to improve patient and system outcomes in hospitals, there remain ongoing challenges with their conceptualization, implementation, and evaluation. Theories that explain how CPWs work in hospitals are lacking, making it difficult to identify important factors for sustaining changes arising from CPWs implemented in hospitals. The objective of this realist review is to develop a program theory for CPWs in hospitals. METHODS:This is a protocol for a realist review. The review will use a six-step iterative process to develop a program theory for CPWs in hospitals: (1) development of a preliminary program theory; (2) search strategy and literature search; (3) study selection and appraisal; (4) data extraction; (5) data analysis and synthesis; and (6) stakeholder engagement. In addition to searching the gray literature and contacting authors, we will search electronic databases such as MEDLINE, NHSEED, CINAHL EBSCO, HMIC, and PsycINFO. Studies will be included based on their ability to provide data that test some aspect of the program theory. Two independent reviewers will select, screen, and extract data related to the program theory from all relevant sources. A realist logic of analysis will be used to identify all context-mechanism-outcome heuristics that explains how CPWs implemented in hospitals translates to better health system outcomes. DISCUSSION:Overall, the review aims to develop a program theory for CPWs in hospitals and to explore how, why, to what extent, and in what contexts does the implementation of CPWs in hospitals contribute to better health system outcomes. As a result, the review will provide a theoretical framework of how CPWs work in hospitals. SYSTEMATIC REVIEW REGISTRATION:PROSPERO CRD42018103220.


PROVIDER: S-EPMC6556023 | BioStudies | 2019-01-01

REPOSITORIES: biostudies

Similar Datasets

2020-01-01 | S-EPMC7641165 | BioStudies
2020-01-01 | S-EPMC7445900 | BioStudies
1000-01-01 | S-EPMC5496371 | BioStudies
2019-01-01 | S-EPMC6323758 | BioStudies
1000-01-01 | S-EPMC6347947 | BioStudies
1000-01-01 | S-EPMC6330465 | BioStudies
2018-01-01 | S-EPMC5801599 | BioStudies
2019-01-01 | S-EPMC6647156 | BioStudies
1000-01-01 | S-EPMC6224734 | BioStudies
1000-01-01 | S-EPMC5541620 | BioStudies