| Title |
The Association of Team-Specific Workload and Staffing with Odds of Burnout Among VA Primary Care Team Members
|
|---|---|
| Published in |
Journal of General Internal Medicine, February 2017
|
| DOI | 10.1007/s11606-017-4011-4 |
| Pubmed ID | |
| Authors |
Christian D. Helfrich, Joseph A. Simonetti, Walter L. Clinton, Gordon B. Wood, Leslie Taylor, Gordon Schectman, Richard Stark, Lisa V. Rubenstein, Stephan D. Fihn, Karin M. Nelson |
| Abstract |
Work-related burnout is common in primary care and is associated with worse patient safety, patient satisfaction, and employee mental health. Workload, staffing stability, and team completeness may be drivers of burnout. However, few studies have assessed these associations at the team level, and fewer still include members of the team beyond physicians. To study the associations of burnout among primary care providers (PCPs), nurse care managers, clinical associates (MAs, LPNs), and administrative clerks with the staffing and workload on their teams. We conducted an individual-level cross-sectional analysis of survey and administrative data in 2014. Primary care personnel at VA clinics responding to a national survey. Burnout was measured with a validated single-item survey measure dichotomized to indicate the presence of burnout. The independent variables were survey measures of team staffing (having a fully staffed team, serving on multiple teams, and turnover on the team), and workload both from survey items (working extended hours), and administrative data (patient panel overcapacity and average panel comorbidity). There were 4610 respondents (estimated response rate of 20.9%). The overall prevalence of burnout was 41%. In adjusted analyses, the strongest associations with burnout were having a fully staffed team (odds ratio [OR] = 0.55, 95% CI 0.47-0.65), having turnover on the team (OR = 1.67, 95% CI 1.43-1.94), and having patient panel overcapacity (OR = 1.19, 95% CI 1.01-1.40). The observed burnout prevalence was 30.1% lower (28.5% vs. 58.6%) for respondents working on fully staffed teams with no turnover and caring for a panel within capacity, relative to respondents in the inverse condition. Complete team staffing, turnover among team members, and panel overcapacity had strong, cumulative associations with burnout. Further research is needed to understand whether improvements in these factors would lower burnout. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 42% |
| Brazil | 1 | 5% |
| Unknown | 10 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 53% |
| Scientists | 6 | 32% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 161 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 25 | 16% |
| Researcher | 18 | 11% |
| Student > Doctoral Student | 14 | 9% |
| Student > Bachelor | 14 | 9% |
| Professor | 9 | 6% |
| Other | 28 | 17% |
| Unknown | 53 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 30 | 19% |
| Medicine and Dentistry | 25 | 16% |
| Social Sciences | 11 | 7% |
| Business, Management and Accounting | 10 | 6% |
| Psychology | 7 | 4% |
| Other | 18 | 11% |
| Unknown | 60 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 March 2024.
All research outputs
#1,433,704
of 25,537,395 outputs
Outputs from Journal of General Internal Medicine
#1,123
of 8,215 outputs
Outputs of similar age
#28,031
of 324,835 outputs
Outputs of similar age from Journal of General Internal Medicine
#19
of 94 outputs
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So far Altmetric has tracked 8,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has done well, scoring higher than 86% of its peers.
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