Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care Professionals.


Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
15 07 2019
Historique:
received: 14 12 2018
accepted: 24 03 2019
revised: 29 01 2019
entrez: 2 8 2019
pubmed: 2 8 2019
medline: 24 4 2020
Statut: epublish

Résumé

One reason for the introduction of digital technologies into health care has been to try to improve safety and patient outcomes by providing real-time access to patient data and enhancing communication among health care professionals. However, the adoption of such technologies into clinical pathways has been less examined, and the impacts on users and the broader health system are poorly understood. We sought to address this by studying the impacts of introducing a digitally enabled care pathway for patients with acute kidney injury (AKI) at a tertiary referral hospital in the United Kingdom. A dedicated clinical response team-comprising existing nephrology and patient-at-risk and resuscitation teams-received AKI alerts in real time via Streams, a mobile app. Here, we present a qualitative evaluation of the experiences of users and other health care professionals whose work was affected by the implementation of the care pathway. The aim of this study was to qualitatively evaluate the impact of mobile results viewing and automated alerting as part of a digitally enabled care pathway on the working practices of users and their interprofessional relationships. A total of 19 semistructured interviews were conducted with members of the AKI response team and clinicians with whom they interacted across the hospital. Interviews were analyzed using inductive and deductive thematic analysis. The digitally enabled care pathway improved access to patient information and expedited early specialist care. Opportunities were identified for more constructive planning of end-of-life care due to the earlier detection and alerting of deterioration. However, the shift toward early detection also highlighted resource constraints and some clinical uncertainty about the value of intervening at this stage. The real-time availability of information altered communication flows within and between clinical teams and across professional groups. Digital technologies allow early detection of adverse events and of patients at risk of deterioration, with the potential to improve outcomes. They may also increase the efficiency of health care professionals' working practices. However, when planning and implementing digital information innovations in health care, the following factors should also be considered: the provision of clinical training to effectively manage early detection, resources to cope with additional workload, support to manage perceived information overload, and the optimization of algorithms to minimize unnecessary alerts.

Sections du résumé

BACKGROUND
One reason for the introduction of digital technologies into health care has been to try to improve safety and patient outcomes by providing real-time access to patient data and enhancing communication among health care professionals. However, the adoption of such technologies into clinical pathways has been less examined, and the impacts on users and the broader health system are poorly understood. We sought to address this by studying the impacts of introducing a digitally enabled care pathway for patients with acute kidney injury (AKI) at a tertiary referral hospital in the United Kingdom. A dedicated clinical response team-comprising existing nephrology and patient-at-risk and resuscitation teams-received AKI alerts in real time via Streams, a mobile app. Here, we present a qualitative evaluation of the experiences of users and other health care professionals whose work was affected by the implementation of the care pathway.
OBJECTIVE
The aim of this study was to qualitatively evaluate the impact of mobile results viewing and automated alerting as part of a digitally enabled care pathway on the working practices of users and their interprofessional relationships.
METHODS
A total of 19 semistructured interviews were conducted with members of the AKI response team and clinicians with whom they interacted across the hospital. Interviews were analyzed using inductive and deductive thematic analysis.
RESULTS
The digitally enabled care pathway improved access to patient information and expedited early specialist care. Opportunities were identified for more constructive planning of end-of-life care due to the earlier detection and alerting of deterioration. However, the shift toward early detection also highlighted resource constraints and some clinical uncertainty about the value of intervening at this stage. The real-time availability of information altered communication flows within and between clinical teams and across professional groups.
CONCLUSIONS
Digital technologies allow early detection of adverse events and of patients at risk of deterioration, with the potential to improve outcomes. They may also increase the efficiency of health care professionals' working practices. However, when planning and implementing digital information innovations in health care, the following factors should also be considered: the provision of clinical training to effectively manage early detection, resources to cope with additional workload, support to manage perceived information overload, and the optimization of algorithms to minimize unnecessary alerts.

Identifiants

pubmed: 31368443
pii: v21i7e13143
doi: 10.2196/13143
pmc: PMC6693304
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13143

Informations de copyright

©Alistair Connell, Georgia Black, Hugh Montgomery, Peter Martin, Claire Nightingale, Dominic King, Alan Karthikesalingam, Cían Hughes, Trevor Back, Kareem Ayoub, Mustafa Suleyman, Gareth Jones, Jennifer Cross, Sarah Stanley, Mary Emerson, Charles Merrick, Geraint Rees, Christopher Laing, Rosalind Raine. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.07.2019.

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Auteurs

Alistair Connell (A)

Centre for Human Health and Performance, University College London, London, United Kingdom.
DeepMind Health, London, United Kingdom.

Georgia Black (G)

Department of Applied Health Research, University College London, London, United Kingdom.

Hugh Montgomery (H)

Centre for Human Health and Performance, University College London, London, United Kingdom.

Peter Martin (P)

Department of Applied Health Research, University College London, London, United Kingdom.

Claire Nightingale (C)

Department of Applied Health Research, University College London, London, United Kingdom.
Population Health Research Institute, St. George's, University of London, London, United Kingdom.

Dominic King (D)

DeepMind Health, London, United Kingdom.

Alan Karthikesalingam (A)

DeepMind Health, London, United Kingdom.

Cían Hughes (C)

DeepMind Health, London, United Kingdom.

Trevor Back (T)

DeepMind Health, London, United Kingdom.

Kareem Ayoub (K)

DeepMind Health, London, United Kingdom.

Mustafa Suleyman (M)

DeepMind Health, London, United Kingdom.

Gareth Jones (G)

Royal Free London NHS Foundation Trust, London, United Kingdom.

Jennifer Cross (J)

Royal Free London NHS Foundation Trust, London, United Kingdom.

Sarah Stanley (S)

Royal Free London NHS Foundation Trust, London, United Kingdom.

Mary Emerson (M)

Royal Free London NHS Foundation Trust, London, United Kingdom.

Charles Merrick (C)

Royal Free London NHS Foundation Trust, London, United Kingdom.

Geraint Rees (G)

Faculty of Life Sciences, University College London, London, United Kingdom.

Christopher Laing (C)

Royal Free London NHS Foundation Trust, London, United Kingdom.

Rosalind Raine (R)

Department of Applied Health Research, University College London, London, United Kingdom.

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Classifications MeSH