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dc.contributor.authorAbel, GA
dc.contributor.authorGomez-Cano, M
dc.contributor.authorMustafee, N
dc.contributor.authorSmart, A
dc.contributor.authorFletcher, E
dc.contributor.authorSalisbury, C
dc.contributor.authorChilvers, R
dc.contributor.authorDean, SG
dc.contributor.authorRichards, SH
dc.contributor.authorWarren, F
dc.contributor.authorCampbell, JL
dc.date.accessioned2020-01-29T10:37:22Z
dc.date.issued2020-01-23
dc.description.abstractOBJECTIVE: This study aimed to develop a risk prediction model identifying general practices at risk of workforce supply-demand imbalance. DESIGN: This is a secondary analysis of routine data on general practice workforce, patient experience and registered populations (2012 to 2016), combined with a census of general practitioners' (GPs') career intentions (2016) SETTING/PARTICIPANTS: A hybrid approach was used to develop a model to predict workforce supply-demand imbalance based on practice factors using historical data (2012-2016) on all general practices in England (with over 1000 registered patients n=6398). The model was applied to current data (2016) to explore future risk for practices in South West England (n=368). PRIMARY OUTCOME MEASURE: The primary outcome was a practice being in a state of workforce supply-demand imbalance operationally defined as being in the lowest third nationally of access scores according to the General Practice Patient Survey and the highest third nationally according to list size per full-time equivalent GP (weighted to the demographic distribution of registered patients and adjusted for deprivation). RESULTS: Based on historical data, the predictive model had fair to good discriminatory ability to predict which practices faced supply-demand imbalance (area under receiver operating characteristic curve=0.755). Predictions using current data suggested that, on average, practices at highest risk of future supply-demand imbalance are currently characterised by having larger patient lists, employing more nurses, serving more deprived and younger populations, and having considerably worse patient experience ratings when compared with other practices. Incorporating findings from a survey of GP's career intentions made little difference to predictions of future supply-demand risk status when compared with expected future workforce projections based only on routinely available data on GPs' gender and age. CONCLUSIONS: It is possible to make reasonable predictions of an individual general practice's future risk of undersupply of GP workforce with respect to its patient population. However, the predictions are inherently limited by the data available.en_GB
dc.description.sponsorshipNational Institute for Health Researchen_GB
dc.identifier.citationVol. 10, pp. e027934 - ?en_GB
dc.identifier.doi10.1136/bmjopen-2018-027934
dc.identifier.grantnumber14/196/02en_GB
dc.identifier.otherbmjopen-2018-027934
dc.identifier.urihttp://hdl.handle.net/10871/40635
dc.language.isoenen_GB
dc.publisherBMJ Publishing Groupen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/31980504en_GB
dc.rights© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY.Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/ licenses/by/4.0/.en_GB
dc.subjectorganisation of health servicesen_GB
dc.subjectprimary careen_GB
dc.subjectsupply-demanden_GB
dc.subjectworkforceen_GB
dc.titleWorkforce predictive risk modelling: development of a model to identify general practices at risk of a supply-demand imbalance.en_GB
dc.typeArticleen_GB
dc.date.available2020-01-29T10:37:22Z
exeter.place-of-publicationEnglanden_GB
dc.descriptionThis is the final version. Available from BMJ Publishing Group via the DOI in this record. en_GB
dc.identifier.journalBMJ Openen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2019-11-01
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-11-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-01-29T10:32:53Z
refterms.versionFCDVoR
refterms.dateFOA2020-01-29T10:37:27Z
refterms.panelCen_GB


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