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

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...

Full description

Bibliographic Details
Main Authors: N. Carlisle, H. A. Watson, J. Carter, K. Kuhrt, P. T. Seed, R. M. Tribe, J. Sandall, A. H. Shennan
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Online Access:https://doi.org/10.1186/s12911-021-01681-w
_version_ 1818913196340150272
author N. Carlisle
H. A. Watson
J. Carter
K. Kuhrt
P. T. Seed
R. M. Tribe
J. Sandall
A. H. Shennan
author_facet N. Carlisle
H. A. Watson
J. Carter
K. Kuhrt
P. T. Seed
R. M. Tribe
J. Sandall
A. H. Shennan
author_sort N. Carlisle
collection DOAJ
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 .
first_indexed 2024-12-19T23:26:39Z
format Article
id doaj.art-9a048e2d3b624cddb9b728813f0c812c
institution Directory Open Access Journal
issn 1472-6947
language English
last_indexed 2024-12-19T23:26:39Z
publishDate 2021-11-01
publisher BMC
record_format Article
series BMC Medical Informatics and Decision Making
spelling doaj.art-9a048e2d3b624cddb9b728813f0c812c2022-12-21T20:01:50ZengBMCBMC Medical Informatics and Decision Making1472-69472021-11-012111910.1186/s12911-021-01681-wClinicians’ experiences of using and implementing a medical mobile phone app (QUiPP V2) designed to predict the risk of preterm birth and aid clinical decision makingN. Carlisle0H. A. Watson1J. Carter2K. Kuhrt3P. T. Seed4R. M. Tribe5J. Sandall6A. H. Shennan7Department of Women and Children’s Health, School of Life Course Sciences, King’s College London, St Thomas’ HospitalDepartment of Women and Children’s Health, School of Life Course Sciences, King’s College London, St Thomas’ HospitalDepartment of Women and Children’s Health, School of Life Course Sciences, King’s College London, St Thomas’ HospitalDepartment of Women and Children’s Health, School of Life Course Sciences, King’s College London, St Thomas’ HospitalDepartment of Women and Children’s Health, School of Life Course Sciences, King’s College London, St Thomas’ HospitalDepartment of Women and Children’s Health, School of Life Course Sciences, King’s College London, St Thomas’ HospitalDepartment of Women and Children’s Health, School of Life Course Sciences, King’s College London, St Thomas’ HospitalDepartment of Women and Children’s Health, School of Life Course Sciences, King’s College London, St Thomas’ HospitalAbstract 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 .https://doi.org/10.1186/s12911-021-01681-wPreterm birthAppQUiPPThreatened preterm labourDecision-making
spellingShingle N. Carlisle
H. A. Watson
J. Carter
K. Kuhrt
P. T. Seed
R. M. Tribe
J. Sandall
A. H. Shennan
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
BMC Medical Informatics and Decision Making
Preterm birth
App
QUiPP
Threatened preterm labour
Decision-making
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Preterm birth
App
QUiPP
Threatened preterm labour
Decision-making
url https://doi.org/10.1186/s12911-021-01681-w
work_keys_str_mv AT ncarlisle cliniciansexperiencesofusingandimplementingamedicalmobilephoneappquippv2designedtopredicttheriskofpretermbirthandaidclinicaldecisionmaking
AT hawatson cliniciansexperiencesofusingandimplementingamedicalmobilephoneappquippv2designedtopredicttheriskofpretermbirthandaidclinicaldecisionmaking
AT jcarter cliniciansexperiencesofusingandimplementingamedicalmobilephoneappquippv2designedtopredicttheriskofpretermbirthandaidclinicaldecisionmaking
AT kkuhrt cliniciansexperiencesofusingandimplementingamedicalmobilephoneappquippv2designedtopredicttheriskofpretermbirthandaidclinicaldecisionmaking
AT ptseed cliniciansexperiencesofusingandimplementingamedicalmobilephoneappquippv2designedtopredicttheriskofpretermbirthandaidclinicaldecisionmaking
AT rmtribe cliniciansexperiencesofusingandimplementingamedicalmobilephoneappquippv2designedtopredicttheriskofpretermbirthandaidclinicaldecisionmaking
AT jsandall cliniciansexperiencesofusingandimplementingamedicalmobilephoneappquippv2designedtopredicttheriskofpretermbirthandaidclinicaldecisionmaking
AT ahshennan cliniciansexperiencesofusingandimplementingamedicalmobilephoneappquippv2designedtopredicttheriskofpretermbirthandaidclinicaldecisionmaking