| Literature DB >> 30213924 |
Ping Mao1, Pingping Cai2, Aijing Luo1, Panhao Huang3, Wenzhao Xie1.
Abstract
BACKGROUND Organ donation coordinators play an important role in the organ transplantation process. Job burnout can seriously affect their turnover rates and the organ donation rate. The present study investigated the level of job burnout and its related factors among organ donation coordinators in China. MATERIAL AND METHODS From March to May 2017, we administered questionnaire surveys to 320 organ donation coordinators from 32 cities. The questionnaire included the following: the Chinese version of MBI-GS was used to evaluate the burnout levels of organ donation coordinators, the Chinese version of GSES was used to assess related personal factors, and the Job Demands Scale and the SSRS were used to evaluate related environmental factors. RESULTS We received a total of 283 questionnaires with a response rate of 88.4%. Out of 283 organ donation coordinators, 169 coordinators (59.7%) showed burnout symptoms. Among them, 161 (56.9%) had mild burnout and 8 (2.8%) had severe burnout. Analysis by multiple linear regression reveals that gender, marital status, educational level, work unit, type of coordinator, job demands, self-efficacy, social support, and job satisfaction are the main factors affecting job burnout in organ donation coordinators. CONCLUSIONS The prevalence of job burnout among Chinese organ donation coordinators is relatively high, with mild burnout as the main symptom and reduced personal accomplishment as the main clinical feature. We hope this study will provide a reference for the recruitment and reduction of coordinator burnout.Entities:
Mesh:
Year: 2018 PMID: 30213924 PMCID: PMC6248314 DOI: 10.12659/AOT.910409
Source DB: PubMed Journal: Ann Transplant ISSN: 1425-9524 Impact factor: 1.530
Background information of organ donation coordinators (n=283).
| Index | Frequency | Percentage (%) |
|---|---|---|
| Gender | ||
| Male | 145 | 51.2 |
| Female | 138 | 48.8 |
| Age | ||
| ≤25 | 15 | 5.3 |
| 26–30 | 69 | 24.4 |
| 31–35 | 77 | 27.2 |
| 36–40 | 62 | 21.9 |
| ≥41 | 60 | 21.2 |
| Marital status | ||
| Unmarried | 62 | 21.9 |
| Married | 221 | 78.1 |
| Educational level | ||
| College/vocational school | 43 | 15.2 |
| Undergraduate | 172 | 60.8 |
| Postgraduate | 68 | 24.0 |
| Monthly income (RMB) | ||
| ≤3000 | 31 | 11.0 |
| 3000–5000 | 120 | 42.4 |
| 5000–10000 | 111 | 39.2 |
| >10000 | 21 | 7.4 |
| Type of work | ||
| Part-time | 175 | 61.8 |
| Full-time | 108 | 38.2 |
| Work experience (years) | ||
| ≤1 | 138 | 48.8 |
| 1–3 | 79 | 27.9 |
| 3–5 | 46 | 16.3 |
| ≥5 | 20 | 7.0 |
| Work unit | ||
| Hospital | 192 | 67.8 |
| The Red Cross Society of China | 91 | 32.2 |
Scores of burnout, job demands, self-efficacy and social support.
| Variables | Mean | SD |
|---|---|---|
| Emotional exhaustion | 9.98 | 5.91 |
| Depersonalization | 4.10 | 4.18 |
| Reduced personal accomplishment | 12.62 | 7.52 |
| Job demands | 24.15 | 4.84 |
| Self-efficacy | 27.60 | 5.55 |
| Social support | 42.35 | 8.16 |
SD – standard deviation.
Pearson’s correlation coefficient between dimensions of burnout and job demands, self-efficacy, social support.
| 1 | 2 | 3 | 4 | 5 | 6 | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 0.566 | 1 | |||||
| 0.101 | 0.421 | 1 | ||||
| 0.534 | 0.157 | −0.175 | 1 | |||
| −0.067 | −0.200 | −0.480 | 0.120 | 1 | ||
| −0.269 | −0.330 | −0.270 | 0.004 | 0.228 | 1 |
1 – emotional exhaustion; 2 – depersonalization; 3 – reduced personal accomplishment; 4 – job demands; 5 – self-efficacy; 6 – social support.
P<0.05;
P<0.01.
Variable assignment table of multiple stepwise regression analysis.
| Variable | Assignment method |
|---|---|
| Gender | 0=Male, 1=Female |
| Age | 1=≤25, 2=26–30, 3=31–35, 4=36–40, 5=≥41 |
| Marital status | 0=unmarried, 1=married |
| Educational level | 1=college/vocational school, 2=undergraduate, 3=postgraduate |
| Monthly income | 1=≤3000, 2=3000–5000, 3=5000–10000, 4=>10000 |
| Type of work | 0=part-time, 1=full-time |
| Work experience (years) | 1=≤1 year, 2=1–3 years, 3=3–5 years, 4=≥5 years |
| Work unit | 0=hospital, 1=the Red Cross Society of China |
Multivariate linear regression analysis of three dimensions of burnout.
| Dependent variables | Independent variables | Beta | P | R2 |
|---|---|---|---|---|
| Emotional exhaustion | Gender | −0.11 | <0.05 | 44.2% |
| Type of work | 0.12 | 0.01 | ||
| Work unit | −0.13 | <0.01 | ||
| Marital status | 0.14 | <0.01 | ||
| Educational level | 0.12 | <0.05 | ||
| Job demands | 0.44 | <0.001 | ||
| Social support | −0.27 | <0.001 | ||
| Depersonalization | Age | −0.20 | <0.01 | 21.3% |
| Educational level | 0.14 | <0.05 | ||
| Marital status | 0.15 | <0.05 | ||
| Social support | −0.29 | <0.001 | ||
| Job demands | 0.15 | <0.05 | ||
| Self-efficacy | −0.14 | <0.05 | ||
| Reduced personal accomplishment | Job demands | −0.14 | <0.01 | 27.8% |
| Social support | −0.17 | <0.01 | ||
| Self-efficacy | −0.42 | <0.001 |