A pilot study of participatory and rapid implementation approaches to increase depression screening in primary care.

Depression screening Implementation strategy design Participatory research Primary care Rapid implementation

Journal

BMC family practice
ISSN: 1471-2296
Titre abrégé: BMC Fam Pract
Pays: England
ID NLM: 100967792

Informations de publication

Date de publication:
16 11 2021
Historique:
received: 15 06 2021
accepted: 24 09 2021
entrez: 17 11 2021
pubmed: 18 11 2021
medline: 15 12 2021
Statut: epublish

Résumé

Most individuals with depression go unidentified and untreated. In 2016 the US Preventive Services Task Force released guidelines recommending universal screening in primary care to identify patients with depression and to link them to treatment. Feasible, acceptable, and effective strategies to implement these guidelines are needed. This three-phased study employed rapid participatory methods to design and test strategies to increase depression screening at Penn Medicine, a large health system with 90 primary care practices. First, researchers solicited ideas and barriers from stakeholders to increase screening using an innovation tournament-a crowdsourcing method that invites stakeholders to submit ideas to address a workplace challenge. Second, a panel of stakeholders and scientists deliberated over and ranked the tournament ideas. An instant runoff election was held to select the winning idea. Third, the research team piloted the winning idea in a primary care practice using rapid prototyping, an approach that quickly refines and iterates strategy designs. The innovation tournament yielded 31 ideas and 32 barriers from diverse stakeholders (12 primary care physicians, 10 medical assistants, 4 nurse practitioners, 2 practice managers, and 4 patient support assistants). A panel of 6 stakeholders and scientists deliberated on the ideas and voted for patient self-report (i.e., through tablet computers, text message, or an online patient portal) as the winning idea. The research team rapid prototyped tablets in one primary care practice with one physician over 5 five-hour shifts to examine the feasibility, acceptability, and effectiveness of the strategy. Most patients, the physician, and medical assistants found the tablets acceptable and feasible. However, patient support assistants struggled to incorporate them in their workflow and expressed concerns about scaling up the process. Depression screening rates were higher using tablets compared to usual care; follow-up was comparable between tablets and usual care. Rapid participatory methods engaged and amplified the voices of diverse stakeholders in primary care. These methods helped design an acceptable and feasible implementation strategy that showed promise for increasing depression screening in a primary care setting. The next step is to evaluate the strategy in a randomized controlled trial across primary care practices.

Sections du résumé

BACKGROUND
Most individuals with depression go unidentified and untreated. In 2016 the US Preventive Services Task Force released guidelines recommending universal screening in primary care to identify patients with depression and to link them to treatment. Feasible, acceptable, and effective strategies to implement these guidelines are needed.
METHODS
This three-phased study employed rapid participatory methods to design and test strategies to increase depression screening at Penn Medicine, a large health system with 90 primary care practices. First, researchers solicited ideas and barriers from stakeholders to increase screening using an innovation tournament-a crowdsourcing method that invites stakeholders to submit ideas to address a workplace challenge. Second, a panel of stakeholders and scientists deliberated over and ranked the tournament ideas. An instant runoff election was held to select the winning idea. Third, the research team piloted the winning idea in a primary care practice using rapid prototyping, an approach that quickly refines and iterates strategy designs.
RESULTS
The innovation tournament yielded 31 ideas and 32 barriers from diverse stakeholders (12 primary care physicians, 10 medical assistants, 4 nurse practitioners, 2 practice managers, and 4 patient support assistants). A panel of 6 stakeholders and scientists deliberated on the ideas and voted for patient self-report (i.e., through tablet computers, text message, or an online patient portal) as the winning idea. The research team rapid prototyped tablets in one primary care practice with one physician over 5 five-hour shifts to examine the feasibility, acceptability, and effectiveness of the strategy. Most patients, the physician, and medical assistants found the tablets acceptable and feasible. However, patient support assistants struggled to incorporate them in their workflow and expressed concerns about scaling up the process. Depression screening rates were higher using tablets compared to usual care; follow-up was comparable between tablets and usual care.
CONCLUSIONS
Rapid participatory methods engaged and amplified the voices of diverse stakeholders in primary care. These methods helped design an acceptable and feasible implementation strategy that showed promise for increasing depression screening in a primary care setting. The next step is to evaluate the strategy in a randomized controlled trial across primary care practices.

Identifiants

pubmed: 34784899
doi: 10.1186/s12875-021-01550-5
pii: 10.1186/s12875-021-01550-5
pmc: PMC8593851
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

228

Informations de copyright

© 2021. The Author(s).

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Auteurs

Briana S Last (BS)

Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA. brishiri@sas.upenn.edu.

Alison M Buttenheim (AM)

Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, USA.
Center for Health Incentives and Behavioral Economics (CHIBE), University of Pennsylvania, Philadelphia, PA, USA.
Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.

Anne C Futterer (AC)

Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Cecilia Livesey (C)

Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Jeffrey Jaeger (J)

Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Rebecca E Stewart (RE)

Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Megan Reilly (M)

Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Matthew J Press (MJ)

Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
Primary Care Service Line, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Maryanne Peifer (M)

Primary Care Service Line, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Department of Family Medicine and Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Courtney Benjamin Wolk (CB)

Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, USA.

Rinad S Beidas (RS)

Center for Health Incentives and Behavioral Economics (CHIBE), University of Pennsylvania, Philadelphia, PA, USA.
Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, USA.
Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Penn Medicine Nudge Unit, University of Pennsylvania Health System, Philadelphia, PA, USA.

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