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Objective: Designing 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 Setting: Observations and interviews of health care providers involved in discharge planning at six hospitals in the Veterans Health Administration.
Study Design: Qualitative study of discharge planning using CTA.
Data Collection/extraction Methods: Data were collected from structured observations and semi-structured interviews using the Critical Decision Method and analyzed using thematic analysis.
Principal Findings: We 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.
Conclusions: A 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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http://dx.doi.org/10.1111/1475-6773.14106 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Health Services Research & Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.
Background: With the availability of more advanced and effective treatments, life expectancy has improved among patients with metastatic breast cancer (MBC), but this makes communication with their medical oncologist more complex. Some patients struggle to learn about their therapeutic options and to understand and articulate their preferences. Mobile health (mHealth) apps can enhance patient-provider communication, playing a crucial role in the diagnosis, treatment, quality of life, and outcomes for patients living with MBC.
View Article and Find Full Text PDFJAMA Intern Med
September 2025
Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Importance: Hospitals have reported growing difficulty in discharging patients in a timely manner, often citing bottlenecks in postacute care. Medicare Advantage plans, now the dominant form of Medicare coverage, may contribute to these delays due to administrative and network constraints, yet national evidence is lacking.
Objective: To quantify changes in hospital length of stay for Medicare Advantage vs traditional Medicare beneficiaries.
JAMA Pediatr
September 2025
Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
JAMA Pediatr
September 2025
Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Importance: For the first time in nearly 2 decades, the US infant mortality rate has increased, coinciding with a rise in overdose-related deaths as a leading cause of pregnancy-associated mortality in some states. Prematurity and low birth weight-often linked to opioid use in pregnancy-are major contributors.
Objective: To assess the health and economic impact of perinatal opioid use disorder (OUD) treatment on maternal and postpartum health, infant health in the first year of life, and infant long-term health.
JAMA Netw Open
September 2025
Department of Internal Medicine, Washington University in St Louis School of Medicine, St Louis, Missouri.