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How digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation

OBJECTIVES: Digital health is now routinely being applied in clinical care, and with a variety of clinician-facing systems available, healthcare organisations are increasingly required to make decisions about technology implementation and evaluation. However, few studies have examined how digital he...

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Autores principales: Bamgboje-Ayodele, Adeola, McPhail, Steven M, Brain, David, Taggart, Richard, Burger, Mitchell, Bruce, Lenert, Holtby, Caroline, Pradhan, Malcolm, Simpson, Mark, Shaw, Tim J, Baysari, Melissa T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632864/
https://www.ncbi.nlm.nih.gov/pubmed/37931965
http://dx.doi.org/10.1136/bmjopen-2023-075009
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author Bamgboje-Ayodele, Adeola
McPhail, Steven M
Brain, David
Taggart, Richard
Burger, Mitchell
Bruce, Lenert
Holtby, Caroline
Pradhan, Malcolm
Simpson, Mark
Shaw, Tim J
Baysari, Melissa T
author_facet Bamgboje-Ayodele, Adeola
McPhail, Steven M
Brain, David
Taggart, Richard
Burger, Mitchell
Bruce, Lenert
Holtby, Caroline
Pradhan, Malcolm
Simpson, Mark
Shaw, Tim J
Baysari, Melissa T
author_sort Bamgboje-Ayodele, Adeola
collection PubMed
description OBJECTIVES: Digital health is now routinely being applied in clinical care, and with a variety of clinician-facing systems available, healthcare organisations are increasingly required to make decisions about technology implementation and evaluation. However, few studies have examined how digital health research is prioritised, particularly research focused on clinician-facing decision support systems. This study aimed to identify criteria for prioritising digital health research, examine how these differ from criteria for prioritising traditional health research and determine priority decision support use cases for a collaborative implementation research programme. METHODS: Drawing on an interpretive listening model for priority setting and a stakeholder-driven approach, our prioritisation process involved stakeholder identification, eliciting decision support use case priorities from stakeholders, generating initial use case priorities and finalising preferred use cases based on consultations. In this qualitative study, online focus group session(s) were held with stakeholders, audiorecorded, transcribed and analysed thematically. RESULTS: Fifteen participants attended the online priority setting sessions. Criteria for prioritising digital health research fell into three themes, namely: public health benefit, health system-level factors and research process and feasibility. We identified criteria unique to digital health research as the availability of suitable governance frameworks, candidate technology’s alignment with other technologies in use,and the possibility of data-driven insights from health technology data. The final selected use cases were remote monitoring of patients with pulmonary conditions, sepsis detection and automated breast screening. CONCLUSION: The criteria for determining digital health research priority areas are more nuanced than that of traditional health condition focused research and can neither be viewed solely through a clinical lens nor technological lens. As digital health research relies heavily on health technology implementation, digital health prioritisation criteria comprised enablers of successful technology implementation. Our prioritisation process could be applied to other settings and collaborative projects where research institutions partner with healthcare delivery organisations.
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spelling pubmed-106328642023-11-10 How digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation Bamgboje-Ayodele, Adeola McPhail, Steven M Brain, David Taggart, Richard Burger, Mitchell Bruce, Lenert Holtby, Caroline Pradhan, Malcolm Simpson, Mark Shaw, Tim J Baysari, Melissa T BMJ Open Health Informatics OBJECTIVES: Digital health is now routinely being applied in clinical care, and with a variety of clinician-facing systems available, healthcare organisations are increasingly required to make decisions about technology implementation and evaluation. However, few studies have examined how digital health research is prioritised, particularly research focused on clinician-facing decision support systems. This study aimed to identify criteria for prioritising digital health research, examine how these differ from criteria for prioritising traditional health research and determine priority decision support use cases for a collaborative implementation research programme. METHODS: Drawing on an interpretive listening model for priority setting and a stakeholder-driven approach, our prioritisation process involved stakeholder identification, eliciting decision support use case priorities from stakeholders, generating initial use case priorities and finalising preferred use cases based on consultations. In this qualitative study, online focus group session(s) were held with stakeholders, audiorecorded, transcribed and analysed thematically. RESULTS: Fifteen participants attended the online priority setting sessions. Criteria for prioritising digital health research fell into three themes, namely: public health benefit, health system-level factors and research process and feasibility. We identified criteria unique to digital health research as the availability of suitable governance frameworks, candidate technology’s alignment with other technologies in use,and the possibility of data-driven insights from health technology data. The final selected use cases were remote monitoring of patients with pulmonary conditions, sepsis detection and automated breast screening. CONCLUSION: The criteria for determining digital health research priority areas are more nuanced than that of traditional health condition focused research and can neither be viewed solely through a clinical lens nor technological lens. As digital health research relies heavily on health technology implementation, digital health prioritisation criteria comprised enablers of successful technology implementation. Our prioritisation process could be applied to other settings and collaborative projects where research institutions partner with healthcare delivery organisations. BMJ Publishing Group 2023-11-06 /pmc/articles/PMC10632864/ /pubmed/37931965 http://dx.doi.org/10.1136/bmjopen-2023-075009 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Informatics
Bamgboje-Ayodele, Adeola
McPhail, Steven M
Brain, David
Taggart, Richard
Burger, Mitchell
Bruce, Lenert
Holtby, Caroline
Pradhan, Malcolm
Simpson, Mark
Shaw, Tim J
Baysari, Melissa T
How digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation
title How digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation
title_full How digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation
title_fullStr How digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation
title_full_unstemmed How digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation
title_short How digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation
title_sort how digital health translational research is prioritised: a qualitative stakeholder-driven approach to decision support evaluation
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632864/
https://www.ncbi.nlm.nih.gov/pubmed/37931965
http://dx.doi.org/10.1136/bmjopen-2023-075009
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