Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives
Early decisions relating to the implementation of virtual care relied on necessity and clinical judgement, but there is a growing need for the generation of evidence to inform policy and practice designs. The need for stronger partnerships between researchers and decision-makers is well r...
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Format: | Article |
Language: | English |
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JMIR Publications
2021-09-01
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Series: | Journal of Medical Internet Research |
Online Access: | https://www.jmir.org/2021/9/e25797 |
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author | Laura Desveaux Suman Budhwani Vess Stamenova Onil Bhattacharyya James Shaw R Sacha Bhatia |
author_facet | Laura Desveaux Suman Budhwani Vess Stamenova Onil Bhattacharyya James Shaw R Sacha Bhatia |
author_sort | Laura Desveaux |
collection | DOAJ |
description |
Early decisions relating to the implementation of virtual care relied on necessity and clinical judgement, but there is a growing need for the generation of evidence to inform policy and practice designs. The need for stronger partnerships between researchers and decision-makers is well recognized, but how these partnerships can be structured and how research can be embedded alongside existing virtual care initiatives remain unclear. We present a series of case studies that illustrate how embedded research can inform policy decisions related to the implementation of virtual care, where decisions are either to (1) discontinue (red light), (2) redesign (yellow light), or (3) scale up existing initiatives (green light). Data were collected through document review and informal interviews with key study personnel. Case 1 involved an evaluation of a mobile diabetes platform that demonstrated a mismatch between the setting and the technology (decision outcome: discontinue). Case 2 involved an evaluation of a mental health support platform that suggested evidence-based modifications to the delivery model (decision outcome: redesign). Case 3 involved an evaluation of video visits that generated evidence to inform the ideal model of implementation at scale (decision outcome: scale up). In this paper, we highlight the characteristics of the partnership and the process that enabled success and use the cases to illustrate how these characteristics were operationalized. Structured communication included monthly check-ins and iterative report development. We also outline key characteristics of the partnership (ie, trust and shared purpose) and the process (ie, timeliness, tailored reporting, and adaptability) that drove the uptake of evidence in decision-making. Across each case, the evaluation was designed to address policy questions articulated by our partners. Furthermore, structured communication provided opportunities for knowledge mobilization. Structured communication was operationalized through monthly meetings as well as the delivery of interim and final reports. These case studies demonstrate the importance of partnering with health system decision-makers to generate and mobilize scientific evidence. Embedded research partnerships founded on a shared purpose of system service provided an effective strategy to bridge the oft-cited gap between science and policy. Structured communication provided a mechanism for collaborative problem-solving and real-time feedback, and it helped contextualize emerging insights. |
first_indexed | 2024-03-12T13:03:41Z |
format | Article |
id | doaj.art-a317befbec7049138802ab113e8668ad |
institution | Directory Open Access Journal |
issn | 1438-8871 |
language | English |
last_indexed | 2024-03-12T13:03:41Z |
publishDate | 2021-09-01 |
publisher | JMIR Publications |
record_format | Article |
series | Journal of Medical Internet Research |
spelling | doaj.art-a317befbec7049138802ab113e8668ad2023-08-28T19:00:27ZengJMIR PublicationsJournal of Medical Internet Research1438-88712021-09-01239e2579710.2196/25797Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System InitiativesLaura Desveauxhttps://orcid.org/0000-0003-3429-1865Suman Budhwanihttps://orcid.org/0000-0002-6043-149XVess Stamenovahttps://orcid.org/0000-0003-3252-7766Onil Bhattacharyyahttps://orcid.org/0000-0001-5219-7288James Shawhttps://orcid.org/0000-0002-9522-0756R Sacha Bhatiahttps://orcid.org/0000-0001-6206-5318 Early decisions relating to the implementation of virtual care relied on necessity and clinical judgement, but there is a growing need for the generation of evidence to inform policy and practice designs. The need for stronger partnerships between researchers and decision-makers is well recognized, but how these partnerships can be structured and how research can be embedded alongside existing virtual care initiatives remain unclear. We present a series of case studies that illustrate how embedded research can inform policy decisions related to the implementation of virtual care, where decisions are either to (1) discontinue (red light), (2) redesign (yellow light), or (3) scale up existing initiatives (green light). Data were collected through document review and informal interviews with key study personnel. Case 1 involved an evaluation of a mobile diabetes platform that demonstrated a mismatch between the setting and the technology (decision outcome: discontinue). Case 2 involved an evaluation of a mental health support platform that suggested evidence-based modifications to the delivery model (decision outcome: redesign). Case 3 involved an evaluation of video visits that generated evidence to inform the ideal model of implementation at scale (decision outcome: scale up). In this paper, we highlight the characteristics of the partnership and the process that enabled success and use the cases to illustrate how these characteristics were operationalized. Structured communication included monthly check-ins and iterative report development. We also outline key characteristics of the partnership (ie, trust and shared purpose) and the process (ie, timeliness, tailored reporting, and adaptability) that drove the uptake of evidence in decision-making. Across each case, the evaluation was designed to address policy questions articulated by our partners. Furthermore, structured communication provided opportunities for knowledge mobilization. Structured communication was operationalized through monthly meetings as well as the delivery of interim and final reports. These case studies demonstrate the importance of partnering with health system decision-makers to generate and mobilize scientific evidence. Embedded research partnerships founded on a shared purpose of system service provided an effective strategy to bridge the oft-cited gap between science and policy. Structured communication provided a mechanism for collaborative problem-solving and real-time feedback, and it helped contextualize emerging insights.https://www.jmir.org/2021/9/e25797 |
spellingShingle | Laura Desveaux Suman Budhwani Vess Stamenova Onil Bhattacharyya James Shaw R Sacha Bhatia Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives Journal of Medical Internet Research |
title | Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives |
title_full | Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives |
title_fullStr | Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives |
title_full_unstemmed | Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives |
title_short | Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives |
title_sort | closing the virtual gap in health care a series of case studies illustrating the impact of embedding evaluation alongside system initiatives |
url | https://www.jmir.org/2021/9/e25797 |
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