Human Factors Applications in the Design of Decision Support Systems for Population Health: a Scoping Review

Overview

Journal BMJ Open

Specialty General Medicine

Date 2022 Apr 2

PMID 35365524

Authors

Holland Marie Vasquez

Emilie Pianarosa

Renee Sirbu

Lori M Diemert

Heather V Cunningham

Birsen Donmez

Laura C Rosella

Affiliations

Soon will be listed here.

Abstract

Introduction: Public health professionals engage in complex cognitive tasks, often using evidence-based decision support tools to bolster their decision-making. Human factors methods take a user-centred approach to improve the design of systems, processes, and interfaces to better support planning and decision-making. While human factors methods have been applied to the design of clinical health tools, these methods are limited in the design of tools for population health. The objective of this scoping review is to develop a comprehensive understanding of how human factors techniques have been applied in the design of population health decision support tools.

Methods And Analysis: The scoping review will follow the methodology and framework proposed by Arksey and O'Malley. We include English-language documents between January 1990 and August 2021 describing the development, validation or application of human factors principles to decision support tools in population health. The search will include Ovid MEDLINE: Epub Ahead of Print, In-Process and Other Non-Indexed Citations, Ovid MEDLINE Daily and Ovid MEDLINE 1946-present; EMBASE, Scopus, PsycINFO, Compendex, IEEE Xplore and Inspec. The results will be integrated into Covidence. First, the abstract of all identified articles will be screened independently by two reviewers with disagreements being resolved by a third reviewer. Next, the full text for articles identified as or will be reviewed by two independent reviewers, leading to a final decision regarding inclusion. Reference lists of included articles will be manually screened to identify additional studies. Data will be extracted by one reviewer, verified by a second, and presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews.

Ethics And Dissemination: Ethics approval is not required for this work as human participants are not involved. The completed review will be published in a peer-reviewed, interdisciplinary journal.

Citing Articles

Human factors methods in the design of digital decision support systems for population health: a scoping review.

Vasquez H, Pianarosa E, Sirbu R, Diemert L, Cunningham H, Harish V BMC Public Health. 2024; 24(1):2458.

PMID: 39256672 PMC: 11385511. DOI: 10.1186/s12889-024-19968-8.

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