Evaluation of a Patient-Collected Audio Audit and Feedback Quality Improvement Program on Clinician Attention to Patient Life Context and Health Care Costs in the Veterans Affairs Health Care System.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 07 2020
Historique:
entrez: 1 8 2020
pubmed: 1 8 2020
medline: 29 12 2020
Statut: epublish

Résumé

Evidence-based care plans can fail when they do not consider relevant patient life circumstances, termed contextual factors, such as a loss of social support or financial hardship. Preventing these contextual errors can reduce obstacles to effective care. To evaluate the effectiveness of a quality improvement program in which clinicians receive ongoing feedback on their attention to patient contextual factors. In this quality improvement study, patients at 6 Department of Veterans Affairs outpatient facilities audio recorded their primary care visits from May 2017 to May 2019. Encounters were analyzed using the Content Coding for Contextualization of Care (4C) method. A feedback intervention based on the 4C coded analysis was introduced using a stepped wedge design. In the 4C coding schema, clues that patients are struggling with contextual factors are termed contextual red flags (eg, sudden loss of control of a chronic condition), and a positive outcome is prospectively defined for each encounter as a quantifiable improvement of the contextual red flag. Data analysis was performed from May to October 2019. Clinicians received feedback at 2 intensity levels on their attention to patient contextual factors and on predefined patient outcomes at 4 to 6 months. Contextual error rates, patient outcomes, and hospitalization rates and costs were measured. The patients (mean age, 62.0 years; 92% male) recorded 4496 encounters with 666 clinicians. At baseline, clinicians addressed 413 of 618 contextual factors in their care plans (67%). After either standard or enhanced feedback, they addressed 1707 of 2367 contextual factors (72%), a significant difference (odds ratio, 1.3; 95% CI, 1.1-1.6; P = .01). In a mixed-effects logistic regression model, contextualized care planning was associated with a greater likelihood of improved outcomes (adjusted odds ratio, 2.5; 95% CI, 1.5-4.1; P < .001). In a budget analysis, estimated savings from avoided hospitalizations were $25.2 million (95% CI, $23.9-$26.6 million), at a cost of $337 242 for the intervention. These findings suggest that patient-collected audio recordings of the medical encounter with feedback may enhance clinician attention to contextual factors, improve outcomes, and reduce hospitalizations. In addition, the intervention is associated with substantial cost savings.

Identifiants

pubmed: 32735338
pii: 2768922
doi: 10.1001/jamanetworkopen.2020.9644
pmc: PMC7395234
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e209644

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Auteurs

Saul Weiner (S)

Department of Medicine, University of Illinois at Chicago, Chicago.
Center of Innovation for Complex Chronic Healthcare, Jesse Brown VA Chicago Health Care System, Chicago, Illinois.

Alan Schwartz (A)

Department of Medical Education, University of Illinois at Chicago, Chicago.

Lisa Altman (L)

Office of Healthcare Transformation, VA Greater Los Angeles Healthcare System, Los Angeles, California.

Sherry Ball (S)

Research Services, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio.

Brian Bartle (B)

Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr VA Hospital, Hines, Illinois.

Amy Binns-Calvey (A)

Department of Medicine, University of Illinois at Chicago, Chicago.
Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr VA Hospital, Hines, Illinois.

Carolyn Chan (C)

Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.

Corinna Falck-Ytter (C)

Primary Care, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio.

Meghana Frenchman (M)

Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, California.

Bryan Gee (B)

Department of Medicine, Edward Hines Jr VA Hospital, Hines, Illinois.

Jeffrey L Jackson (JL)

General Medicine Division, Clement J. Zablocki VA Medical Center, Milwaukee, Wisconsin.
Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.

Neil Jordan (N)

Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr VA Hospital, Hines, Illinois.
Department of Psychiatry and Behavioral Sciences and Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.

Benjamin Kass (B)

Department of Medicine, University of Illinois at Chicago, Chicago.
Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr VA Hospital, Hines, Illinois.

Brendan Kelly (B)

Department of Medicine, University of Illinois at Chicago, Chicago.
Center of Innovation for Complex Chronic Healthcare, Jesse Brown VA Chicago Health Care System, Chicago, Illinois.

Nasia Safdar (N)

Research Services, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.

Cecilia Scholcoff (C)

General Medicine Division, Clement J. Zablocki VA Medical Center, Milwaukee, Wisconsin.

Gunjan Sharma (G)

Department of Medicine, University of Illinois at Chicago, Chicago.
Center of Innovation for Complex Chronic Healthcare, Jesse Brown VA Chicago Health Care System, Chicago, Illinois.

Frances Weaver (F)

Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr VA Hospital, Hines, Illinois.
Department of Public Health Sciences, Loyola University Chicago, Chicago, Illinois.

Maria Wopat (M)

Pharmacy Services, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.

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