Literature DB >> 27028043

Complexity in Redesigning Depression Care: Comparing Intention Versus Implementation of an Automated Depression Screening and Monitoring Program.

Paul Di Capua1,2,3, Brian Wu4, Renee Sednew5, Gery Ryan6, Shinyi Wu7.   

Abstract

Health care technology promises to improve quality and decrease costs while improving the patient experience. A recent trial tested a novel health technology that sought to reduce barriers to guideline-recommended depression care by coupling automated telephonic patient assessment with provider notification and decision support. This study compares the intended effects and the end users' experience with using this technology. Responses to semi-structured interviews with the leadership and design team (the intention group) were compared with responses from health professionals in clinics using the technology (the implementation group). Qualitative methods were applied to compare perspectives on the role of technology in care delivery and on the technology's impact on barriers to providing guideline-recommended care. Four members of the intention group and 17 members of the implementation group were interviewed. The 2 groups had similar notions of technology's role in care delivery. The technology increased provider awareness, empowered midlevel providers, and facilitated collaboration among care team members. However, the implementation group identified gaps in care processes and in the informatics system that the technology did not address, and for which providers remained responsible. The 2 groups had comparable perspectives on the value and limits of technology in improving adherence to guideline-recommended care. However, the intention group did not discuss many of the shortcomings identified by the implementation group. Also, the interviews suggest that although some barriers persisted and a few new ones arose, the technology succeeded in reducing barriers to guideline-recommended care.

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Year:  2016        PMID: 27028043     DOI: 10.1089/pop.2015.0084

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  3 in total

1.  Cost-Effectiveness of a Technology-Facilitated Depression Care Management Adoption Model in Safety-Net Primary Care Patients with Type 2 Diabetes.

Authors:  Joel W Hay; Pey-Jiuan Lee; Haomiao Jin; Jeffrey J Guterman; Sandra Gross-Schulman; Kathleen Ell; Shinyi Wu
Journal:  Value Health       Date:  2017-12-06       Impact factor: 5.725

2.  Comparative Effectiveness of a Technology-Facilitated Depression Care Management Model in Safety-Net Primary Care Patients With Type 2 Diabetes: 6-Month Outcomes of a Large Clinical Trial.

Authors:  Shinyi Wu; Kathleen Ell; Haomiao Jin; Irene Vidyanti; Chih-Ping Chou; Pey-Jiuan Lee; Sandra Gross-Schulman; Laura Myerchin Sklaroff; David Belson; Arthur M Nezu; Joel Hay; Chien-Ju Wang; Geoffrey Scheib; Paul Di Capua; Caitlin Hawkins; Pai Liu; Magaly Ramirez; Brian W Wu; Mark Richman; Caitlin Myers; Davin Agustines; Robert Dasher; Alex Kopelowicz; Joseph Allevato; Mike Roybal; Eli Ipp; Uzma Haider; Sharon Graham; Vahid Mahabadi; Jeffrey Guterman
Journal:  J Med Internet Res       Date:  2018-04-23       Impact factor: 5.428

3.  Use of Patient-Reported Data to Match Depression Screening Intervals With Depression Risk Profiles in Primary Care Patients With Diabetes: Development and Validation of Prediction Models for Major Depression.

Authors:  Haomiao Jin; Shinyi Wu
Journal:  JMIR Form Res       Date:  2019-10-01
  3 in total

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