ArticleBMC health services research2018
Content analysis of locum tenens recruitment emails for anesthesiologists.
Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Approaches to locum physician recruitment and retention: a systematic review.Human resources for health · 2024Pooled it
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLocum tenens continues to be an increasingly utilized employment option among healthcare organizations to cope with short-term provider vacancies. There exist no studies that explore the job characteristics of such assignments. The purpose of this study was to characterize the clinical responsibilities and compensation of anesthesiology locum tenens positions through content analysis of recruitment emails. Through this data, anesthesiologists interested in locum tenens will be better equipped to evaluate the merit of potential opportunities.
methodsThe study was conducted using a compiled database of unsolicited emails received by one of the authors. A total of 241 emails containing 794 assignments were included during the period of 1/09/17 to 1/26/18 (383 days in total). The information was extracted using a standardized template and was entered into a database. Additional validation of the content was done using a data mining tool.
resultsMost of the job opportunities originated from five staffing agencies. A total of 37, 25, and 17% of the assignments were allocated to hospitals, ambulatory surgical centers, and trauma centers respectively. The mean caseload for the assignments was between 8.5 and 11.1 cases per day. The mean daily work shift was 9.1 hours, and the average duration of the assignment was one week. The most frequently requested cases included general (74%), orthopedics (54%), and OB/GYN (51%). However, information regarding training qualifications and licensing was not routinely provided. Only 13.1% of assignments specified a system of medical documentation with paper charting being the most common. The mean hourly rate for locum anesthesiologists in our sample was $186.19, significantly higher than the national average of $127.88. Around 28% of staffing agencies covered the licensing expenses of specialists while 23% covered the expense of travels and 20% covered accommodation costs.
conclusionsDescriptions for locum tenens positions follow common anesthesiology practices and feature superior compensation to national estimates. However, vital information is often omitted from recruitment emails, and practice settings are highly variable. Anesthesiologists are urged to fully investigate opportunities before accepting based on recruitment emails. Managers should require more details to be provided in job offers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.