Clinicians' experiences of using and implementing a medical mobile phone app (QUiPP V2) designed to predict the risk of preterm birth and aid clinical decision making.

Carlisle, N; Watson, HA; Carter, J; Kuhrt, K; Seed, PT; Tribe, RM; Sandall, J; Shennan, AH

Clinicians' experiences of using and implementing a medical mobile phone app (QUiPP V2) designed to predict the risk of preterm birth and aid clinical decision making.

Carlisle, N Watson, HA Carter, J Kuhrt, K Seed, PT Tribe, RM Sandall, J

Shennan, AH

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Publisher:: BioMed Central
Publication Type:: Journal Article
Citation:: BMC Medical Informatics and Decision Making, 2021, 21, (1), pp. 1-9
Issue Date:: 2021-11-18

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Field	Value	Language
dc.contributor.author	Carlisle, N
dc.contributor.author	Watson, HA
dc.contributor.author	Carter, J
dc.contributor.author	Kuhrt, K
dc.contributor.author	Seed, PT
dc.contributor.author	Tribe, RM
dc.contributor.author	Sandall, J https://orcid.org/0000-0003-2000-743X
dc.contributor.author	Shennan, AH
dc.date.accessioned	2022-02-02T02:27:48Z
dc.date.available	2021-11-03
dc.date.available	2022-02-02T02:27:48Z
dc.date.issued	2021-11-18
dc.identifier.citation	BMC Medical Informatics and Decision Making, 2021, 21, (1), pp. 1-9
dc.identifier.issn	1472-6947
dc.identifier.issn	1472-6947
dc.identifier.uri	http://hdl.handle.net/10453/154090
dc.description.abstract	BACKGROUND: As the vast majority of women who present in threatened preterm labour (TPTL) will not deliver early, clinicians need to balance the risks of over-medicalising the majority of women, against the potential risk of preterm delivery for those discharged home. The QUiPP app is a free, validated app which can support clinical decision-making as it produces individualised risks of delivery within relevant timeframes. Recent evidence has highlighted that clinicians would welcome a decision-support tool that accurately predicts preterm birth. METHODS: Qualitative interviews were undertaken as part of the EQUIPTT study (The Evaluation of the QUiPP app for Triage and Transfer) (REC: 17/LO/1802) which aimed to evaluate the impact of the QUiPP app on management of TPTL. Individual semi-structured telephone interviews were used to explore clinicians' (obstetricians' and midwives') experiences of using the QUiPP app and how it was implemented at their hospital sites. Thematic analysis was chosen to explore the meaning of the data, through a framework approach. RESULTS: Nineteen participants from 10 hospital sites in England took part. Data analysis revealed three overarching themes which were: 'experience of using the app', 'how QUiPP risk changes practice' and 'successfully adopting QUiPP: context is everything'. With these final themes we appeared to have achieved our aim of exploring the clinicians' experiences of using and implementing the QUiPP app. CONCLUSION: This study explored different clinician's experiences of implementing the app. The organizational and cultural context at different sites appeared to have a large impact on how well the QUiPP app was implemented. Future work needs to be undertaken to understand how best to embed the intervention within different settings. This will inform scale up of QUiPP app use across the UK and ensure that clinicians have access to this free, easy-to-use tool which can positively aid clinical decision making when caring for women in TPTL. CLINICAL TRIAL REGISTRY AND REGISTRATION NUMBER: ISRCTN 17846337, registered 08th January 2018, https://doi.org/10.1186/ISRCTN17846337 .
dc.format	Electronic
dc.language	eng
dc.publisher	BioMed Central
dc.relation.ispartof	BMC Medical Informatics and Decision Making
dc.relation.isbasedon	10.1186/s12911-021-01681-w
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0806 Information Systems, 1103 Clinical Sciences
dc.subject.classification	Medical Informatics
dc.subject.mesh	Cell Phone
dc.subject.mesh	Clinical Decision-Making
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Infant, Newborn
dc.subject.mesh	Mobile Applications
dc.subject.mesh	Obstetric Labor, Premature
dc.subject.mesh	Pregnancy
dc.subject.mesh	Premature Birth
dc.subject.mesh	Cell Phone
dc.subject.mesh	Clinical Decision-Making
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Infant, Newborn
dc.subject.mesh	Mobile Applications
dc.subject.mesh	Obstetric Labor, Premature
dc.subject.mesh	Pregnancy
dc.subject.mesh	Premature Birth
dc.subject.mesh	Humans
dc.subject.mesh	Premature Birth
dc.subject.mesh	Pregnancy
dc.subject.mesh	Infant, Newborn
dc.subject.mesh	Female
dc.subject.mesh	Obstetric Labor, Premature
dc.subject.mesh	Mobile Applications
dc.subject.mesh	Clinical Decision-Making
dc.subject.mesh	Cell Phone
dc.title	Clinicians' experiences of using and implementing a medical mobile phone app (QUiPP V2) designed to predict the risk of preterm birth and aid clinical decision making.
dc.type	Journal Article
utslib.citation.volume	21
utslib.location.activity	England
utslib.for	0806 Information Systems
utslib.for	1103 Clinical Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Midwifery
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-02-02T02:27:44Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	21
utslib.citation.issue	1

Abstract:

BACKGROUND: As the vast majority of women who present in threatened preterm labour (TPTL) will not deliver early, clinicians need to balance the risks of over-medicalising the majority of women, against the potential risk of preterm delivery for those discharged home. The QUiPP app is a free, validated app which can support clinical decision-making as it produces individualised risks of delivery within relevant timeframes. Recent evidence has highlighted that clinicians would welcome a decision-support tool that accurately predicts preterm birth. METHODS: Qualitative interviews were undertaken as part of the EQUIPTT study (The Evaluation of the QUiPP app for Triage and Transfer) (REC: 17/LO/1802) which aimed to evaluate the impact of the QUiPP app on management of TPTL. Individual semi-structured telephone interviews were used to explore clinicians' (obstetricians' and midwives') experiences of using the QUiPP app and how it was implemented at their hospital sites. Thematic analysis was chosen to explore the meaning of the data, through a framework approach. RESULTS: Nineteen participants from 10 hospital sites in England took part. Data analysis revealed three overarching themes which were: 'experience of using the app', 'how QUiPP risk changes practice' and 'successfully adopting QUiPP: context is everything'. With these final themes we appeared to have achieved our aim of exploring the clinicians' experiences of using and implementing the QUiPP app. CONCLUSION: This study explored different clinician's experiences of implementing the app. The organizational and cultural context at different sites appeared to have a large impact on how well the QUiPP app was implemented. Future work needs to be undertaken to understand how best to embed the intervention within different settings. This will inform scale up of QUiPP app use across the UK and ensure that clinicians have access to this free, easy-to-use tool which can positively aid clinical decision making when caring for women in TPTL. CLINICAL TRIAL REGISTRY AND REGISTRATION NUMBER: ISRCTN 17846337, registered 08th January 2018, https://doi.org/10.1186/ISRCTN17846337 .

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/154090