Workforce intelligence: what data do we need to collect to understand trends in substantive oral and maxillofacial surgery consultant posts? A retrospective review and plan for the future
| Autor: | Daljit K. Dhariwal, Patrick Magennis, James Douglas, Anne Begley |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Consultants Intelligence Prospective data Plan (drawing) 030204 cardiovascular system & hematology 03 medical and health sciences 0302 clinical medicine Surveys and Questionnaires medicine Humans Medical journal Prospective Studies Retrospective Studies Retrospective review business.industry Surgery Oral United Kingdom Otorhinolaryngology Family medicine Workforce Oral and maxillofacial surgery Workforce planning Surgery Oral Surgery business 030217 neurology & neurosurgery |
| Zdroj: | The British journal of oralmaxillofacial surgery. 58(10) |
| ISSN: | 1532-1940 |
| Popis: | Understanding workforce pressures within surgery is an inexact science. This paper assembles evidence regarding oral and maxillofacial surgery (OMFS) consultant appointments in the UK and plans for prospective data collection in the future. Information about the number of OMFS specialists joining the UK specialist list was obtained from the General Medical Council and compared to a database of substantive OMFS consultant posts. OMFS consultants were asked to contribute information about their training programmes and consultant appointments (date, interview experience, and sub-specialty interest). This information was collated on Excel© and analysed using WinStat©. Data on OMFS consultant posts advertised in 'NHS Jobs' and the British Medical Journal were collected. The mean (SD) number of specialists joining the specialist list per year is 24.1 (5.2) with a median of 24 and a range of 15 - 36. The number of trainees completing training and numbers joining the OMFS specialist list are in balance at present. The median delay between OMFS specialist listing and appointment as a consultant was 72 days and mean of 169 with the 25th centile of five days, standard deviation of 239 days and maximum of 5.2 years. Of those returning data, 135 (47%) candidates were the sole interviewee and 83 (29%) had one other candidate at their successful interview. The mean application ratio for each post was 1.9 and the median number of candidates was one, mean 1.6 and maximum candidates seven. About half of the posts were filled by trainees from their regional training rotation. Prospective data collection on advertised posts, interviews held, expected retirements/new posts, combined with a route for trainees approaching CCT to highlight their availability may streamline recruitment and allow a more rapid recognition of recruitment problems. |
| Databáze: | OpenAIRE |
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