AmReS: an observational retrospective time-to-event analysis of staff voluntary turnover in an English ambulance trust
Objectives The purpose of this study was to identify which, and to what extent, demographic and operational factors are indicative of likelihood for a new call handler or paramedic to remain in role within the first two years of employment at an ambulance trust using data held in the trust’s bespoke...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2025-04-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/15/4/e098174.full |
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| author | Alison Leary Matthew Bennett Josh Miller Abigail East Sarahjane Jones Mark Radford Md Asaduzzaman Alisen Dube Gina Varnals Robert M Cook Zillur Rahman Shabuz |
| author_facet | Alison Leary Matthew Bennett Josh Miller Abigail East Sarahjane Jones Mark Radford Md Asaduzzaman Alisen Dube Gina Varnals Robert M Cook Zillur Rahman Shabuz |
| author_sort | Alison Leary |
| collection | DOAJ |
| description | Objectives The purpose of this study was to identify which, and to what extent, demographic and operational factors are indicative of likelihood for a new call handler or paramedic to remain in role within the first two years of employment at an ambulance trust using data held in the trust’s bespoke data warehouse.Design The study uses a retrospective observational cohort design using routinely collected data.Setting One ambulance trust focused on a large, predominantly urban area in the UK.Participants The study used the data of all employees of the trust who started employment as call handlers (869) or paramedics (1672) between 1 January 2018 and 31 July 2023.Primary and secondary outcome measures ‘Time-to-event’ analysis of ‘likelihood to remain in post within the first two years of employment’ as call handlers or paramedics via accelerated failure time regression.Results Several factors showed a significant contribution to the likelihood of remaining in post within an ambulance National Health Service Trust. Among the findings, short-term sick leave in the first two years of employment was associated with increased retention for paramedics (0.040, 95% CI 0.030, 0.060). In addition, female call handlers were found to have increased retention (0.29, 95% CI 0.043, 0.54), and paramedic retention increased with time outside of ‘job cycle time’ (JCT) activities (ie, activities other than responding to calls) (0.097, 95% CI 0.057, 0.14).Conclusions This study presents a method for extracting new insights from routinely collected operational data, identifying common drivers and specific predictors for retention among the ambulance NHS workforce. It emphasises the importance of workforce-centred retention strategies, highlighting the need for non-JCT time, which in turn would allow paramedics to have time to reflect and recuperate to avoid burnout and attrition. The study also suggests that a lack of sick leave might indicate a lack of trust and self-care culture, potentially leading to paramedic staff attrition. Our approach to retention analytics provides a new mechanism for trusts to monitor and respond to their attrition risks in a timely, proactive fashion. |
| format | Article |
| id | doaj-art-184c2c970bab426bb60dae2cd387061d |
| institution | OA Journals |
| issn | 2044-6055 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-184c2c970bab426bb60dae2cd387061d2025-08-20T02:26:59ZengBMJ Publishing GroupBMJ Open2044-60552025-04-0115410.1136/bmjopen-2024-098174AmReS: an observational retrospective time-to-event analysis of staff voluntary turnover in an English ambulance trustAlison Leary0Matthew Bennett1Josh Miller2Abigail East3Sarahjane Jones4Mark Radford5Md Asaduzzaman6Alisen Dube7Gina Varnals8Robert M Cook9Zillur Rahman Shabuz10London South Bank University, London, UKLondon Ambulance Service NHS Trust, London, UKWest Midlands Ambulance Service NHS Foundation Trust, Brierley Hill, UKNorth West London Cancer Network, London, UKSchool of Health and Social Care, University of Staffordshire, Stafford Campus, Stafford, UKNHS England, Redditch, UKDepartment of Engineering, University of Staffordshire, Stoke on Trent, UKSchool of Health and Social Care, University of Staffordshire, Stafford Campus, Stafford, UKSchool of Health and Social Care, University of Staffordshire, Stafford Campus, Stafford, UKSchool of Health and Social Care, University of Staffordshire, Stafford Campus, Stafford, UKLancaster University, Lancaster, UKObjectives The purpose of this study was to identify which, and to what extent, demographic and operational factors are indicative of likelihood for a new call handler or paramedic to remain in role within the first two years of employment at an ambulance trust using data held in the trust’s bespoke data warehouse.Design The study uses a retrospective observational cohort design using routinely collected data.Setting One ambulance trust focused on a large, predominantly urban area in the UK.Participants The study used the data of all employees of the trust who started employment as call handlers (869) or paramedics (1672) between 1 January 2018 and 31 July 2023.Primary and secondary outcome measures ‘Time-to-event’ analysis of ‘likelihood to remain in post within the first two years of employment’ as call handlers or paramedics via accelerated failure time regression.Results Several factors showed a significant contribution to the likelihood of remaining in post within an ambulance National Health Service Trust. Among the findings, short-term sick leave in the first two years of employment was associated with increased retention for paramedics (0.040, 95% CI 0.030, 0.060). In addition, female call handlers were found to have increased retention (0.29, 95% CI 0.043, 0.54), and paramedic retention increased with time outside of ‘job cycle time’ (JCT) activities (ie, activities other than responding to calls) (0.097, 95% CI 0.057, 0.14).Conclusions This study presents a method for extracting new insights from routinely collected operational data, identifying common drivers and specific predictors for retention among the ambulance NHS workforce. It emphasises the importance of workforce-centred retention strategies, highlighting the need for non-JCT time, which in turn would allow paramedics to have time to reflect and recuperate to avoid burnout and attrition. The study also suggests that a lack of sick leave might indicate a lack of trust and self-care culture, potentially leading to paramedic staff attrition. Our approach to retention analytics provides a new mechanism for trusts to monitor and respond to their attrition risks in a timely, proactive fashion.https://bmjopen.bmj.com/content/15/4/e098174.full |
| spellingShingle | Alison Leary Matthew Bennett Josh Miller Abigail East Sarahjane Jones Mark Radford Md Asaduzzaman Alisen Dube Gina Varnals Robert M Cook Zillur Rahman Shabuz AmReS: an observational retrospective time-to-event analysis of staff voluntary turnover in an English ambulance trust BMJ Open |
| title | AmReS: an observational retrospective time-to-event analysis of staff voluntary turnover in an English ambulance trust |
| title_full | AmReS: an observational retrospective time-to-event analysis of staff voluntary turnover in an English ambulance trust |
| title_fullStr | AmReS: an observational retrospective time-to-event analysis of staff voluntary turnover in an English ambulance trust |
| title_full_unstemmed | AmReS: an observational retrospective time-to-event analysis of staff voluntary turnover in an English ambulance trust |
| title_short | AmReS: an observational retrospective time-to-event analysis of staff voluntary turnover in an English ambulance trust |
| title_sort | amres an observational retrospective time to event analysis of staff voluntary turnover in an english ambulance trust |
| url | https://bmjopen.bmj.com/content/15/4/e098174.full |
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