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Humphries B, León-García M, Quispe ENDG, Canelo-Aybar C, Valli C, Pacheco-Barrios K, Agarwal A, Mirabi S, Eckman MH, Guyatt G, Bates SM, Xie F, Alonso-Coello P. More work needed on decision analysis for shared decision-making: A scoping review. J Clin Epidemiol 2021; 141:106-120. [PMID: 34628018 DOI: 10.1016/j.jclinepi.2021.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 09/21/2021] [Accepted: 10/03/2021] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To explore and characterize published evidence on the ways decision analysis has been used to inform shared decision-making. STUDY DESIGN AND SETTING For this scoping review, we searched five bibliographic databases (from inception until February 2021), reference lists of included studies, trial registries, a thesis database and websites of relevant interest groups. Studies were eligible if they evaluated the application of decision analysis in a shared decision-making encounter. Pairs of reviewers independently screened and selected studies for inclusion, extracted study information using a data extraction form developed by the research team and assessed risk of bias for all studies with an experimental or quasi-experimental design. Data were narratively synthesized. RESULTS We identified 27 studies that varied greatly with regard to their patient population, design, content and delivery. A range of outcomes were evaluated to explore the effectiveness and acceptability of decision analytic interventions, with little information about the implementation process. Most studies found that decision analysis was broadly beneficial. CONCLUSION Despite the compelling rationale on the potential for decision analysis to support shared decision-making, rigorous randomized controlled trials are needed to confirm these interventions' effectiveness, while qualitative studies should seek to understand their potential implementation.
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Affiliation(s)
- Brittany Humphries
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Montserrat León-García
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Ena Niño de Guzman Quispe
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Carlos Canelo-Aybar
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Claudia Valli
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA; Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud. Lima, Peru
| | - Arnav Agarwal
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Susan Mirabi
- School of Public Health and Health Systems, University of Waterloo, Waterloo, Canada
| | - Mark H Eckman
- Division of General Internal Medicine and Center for Clinical Effectiveness, University of Cincinnati, Cincinnati, USA
| | - Gordon Guyatt
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Department of Medicine, McMaster University, Hamilton, Canada
| | - Shannon M Bates
- Department of Medicine, McMaster University, Hamilton, Canada
| | - Feng Xie
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Center for Health Economics and Policy Analysis, McMaster University, Hamilton, Canada.
| | - Pablo Alonso-Coello
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.
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Radovic A, Anderson N, Hamm M, George-Milford B, Fascetti C, Engster S, Lindhiem O. Perceived Facilitators of and Barriers to Implementation of a Decision Support Tool for Adolescent Depression and Suicidality Screening: Focus Group and Interview Study. JMIR Ment Health 2021; 8:e26035. [PMID: 34524090 PMCID: PMC8482166 DOI: 10.2196/26035] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 03/27/2021] [Accepted: 04/29/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Screening Wizard (SW) is a technology-based decision support tool aimed at guiding primary care providers (PCPs) to respond to depression and suicidality screens in adolescents. Separate screens assess adolescents' and parents' reports on mental health symptoms, treatment preferences, and potential treatment barriers. A detailed summary is provided to PCPs, also identifying adolescent-parent discrepancies. The goal of SW is to enhance decision-making to increase the utilization of evidence-based treatments. OBJECTIVE This qualitative study aims to describe multi-stakeholder perspectives of adolescents, parents, and providers to understand the potential barriers to the implementation of SW. METHODS We interviewed 11 parents and 11 adolescents and conducted two focus groups with 18 health care providers (PCPs, nurses, therapists, and staff) across 2 pediatric practices. Participants described previous experiences with screening for depression and were shown a mock-up of SW and asked for feedback. Interviews and focus groups were transcribed verbatim, and codebooks were inductively developed based on content. Transcripts were double coded, and disagreements were adjudicated to full agreement. Completed coding was used to produce thematic analyses of the interviews and focus groups. RESULTS We identified five main themes across the interviews and focus groups: parents, adolescents, and pediatric PCPs agree that depression screening should occur in pediatric primary care; there is concern that accurate self-disclosure does not always occur during depression screening; SW is viewed as a tool that could facilitate depression screening and that might encourage more honesty in screening responses; parents, adolescents, and providers do not want SW to replace mental health discussions with providers; and providers want to maintain autonomy in treatment decisions. CONCLUSIONS We identified that providers, parents, and adolescents are all concerned with current screening practices, mainly regarding inaccurate self-disclosure. They recognized value in SW as a computerized tool that may elicit more honest responses and identify adolescent-parent discrepancies. Surprisingly, providers did not want the SW report to include treatment recommendations, and all groups did not want the SW report to replace conversations with the PCP about depression. Although SW was originally developed as a treatment decision algorithm, this qualitative study has led us to remove this component, and instead, SW focuses on aspects identified as most useful by all groups. We hope that this initial qualitative work will improve the future implementation of SW.
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Affiliation(s)
- Ana Radovic
- Department of Pediatrics, University of Pittsburgh School of Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States
| | - Nathan Anderson
- University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Megan Hamm
- Center for Research on Healthcare's Data Center, University of Pittsburgh, Pittsburgh, PA, United States
| | | | - Carrie Fascetti
- Clinical and Translational Science Institute Pediatric PittNet, University of Pittsburgh, Pittsburgh, PA, United States
| | - Stacey Engster
- Department of Pediatrics, University of Pittsburgh School of Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States.,Clinical and Translational Science Institute Pediatric PittNet, University of Pittsburgh, Pittsburgh, PA, United States
| | - Oliver Lindhiem
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
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