ArticleHealth services research2023
Applying cognitive task analysis to health services research.
Article in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
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- Assessing Health Care Professionals' Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.Journal of medical Internet research · 2026Article
- Designing for implementation: a cognitive task analysis of intimate partner violence screening in hospital trauma care in Alberta, Canada.Frontiers in health services · 2026Article
- Cognitive Task Analysis to Understand and Overcome Heuristics in Medical Residents: Even More Relevant in the Era of Artificial Intelligence.ATS scholar · 2025Article
- A novel and practical care process framework to inform model of care development.Healthcare management forum · 2023Article
- Applying cognitive task analysis to health services research.Health services research · 2023Article
- High performance coach cognition in the wild: using applied cognitive task analysis for practical insights-cognitive challenges and curriculum knowledge.Frontiers in psychology · 2023Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveDesigning practical decision support tools and other health care technology in health services research relies on a clear understanding of the cognitive processes that underlie the use of these tools. Unfortunately, methods to explore cognitive processes are rarely used in health services research. Thus, the objective of this manuscript is to introduce cognitive task analysis (CTA), a family of methods to study cognitive processes involved in completing a task, to a health services research audience. This methods article describes CTA procedures, proposes a framework for their use in health services research studies, and provides an example of its application in a pilot study. DATA SOURCES AND STUDY
settingObservations and interviews of health care providers involved in discharge planning at six hospitals in the Veterans Health Administration. STUDY
designQualitative study of discharge planning using CTA. DATA COLLECTION/EXTRACTION
methodsData were collected from structured observations and semi-structured interviews using the Critical Decision Method and analyzed using thematic analysis. PRINCIPAL
findingsWe developed an adaptation of CTA that could be used in a clinical environment to describe clinical decision-making and other cognitive processes. The adapted CTA framework guides the user through four steps: (1) Planning, (2) Environmental Analysis, (3) Knowledge Elicitation, and (4) Analyses and Results. This adapted CTA framework provides an iterative and systematic approach to identifying and describing the knowledge, expertise, thought processes, procedures, actors, goals, and mental strategies that underlie completing a clinical task.
conclusionsA better understanding of the cognitive processes that underly clinical tasks is key to developing health care technology and decision-support tools that will have a meaningful impact on processes of care and patient outcomes. Our adapted framework offers a more rigorous and detailed method for identifying task-related cognitive processes in implementation studies and quality improvement. Our adaptation of this underutilized qualitative research method may be helpful to other researchers and inform future research in health services research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.