| Literature DB >> 28420396 |
Tongtong Li1, Trudy Lei2, Fiona Sun3, Zheng Xie4.
Abstract
BACKGROUND: To strengthen rural health workforce, the Chinese government has launched a series of policies to promote the job satisfaction of village doctors since the health sector reform. The purpose of this mixed-method study is to describe village doctors' job satisfaction under the context of health sector reform and investigate the associated factors.Entities:
Keywords: Job satisfaction; Rural health workforce; Village doctors
Mesh:
Year: 2017 PMID: 28420396 PMCID: PMC5395962 DOI: 10.1186/s12939-017-0560-8
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Fig. 1Theoretical model
Fig. 2Flow chart for the sampling
Coding framework from the data
| Factors influencing village doctors’ job satisfaction | |
|---|---|
| • Age |
Descriptive statistics
| Variable | Number | Percentage (%) |
|---|---|---|
| Individual level (level-1, | ||
| Gender | ||
| Male | 925 | 75.8 |
| Female | 296 | 24.2 |
| Age (years) | ||
| 20–39 | 356 | 29.2 |
| 40–59 | 653 | 53.5 |
| 60 + | 212 | 17.4 |
| Education | ||
| ≤Junior high school | 153 | 12.5 |
| Secondary school | 827 | 67.7 |
| >Secondary school | 241 | 19.7 |
| Average monthly income (CNY) | ||
| Low | 412 | 33.7 |
| Ordinary | 401 | 32.8 |
| High | 408 | 33.4 |
| Pension plan | ||
| None | 316 | 25.9 |
| NRPP | 826 | 67.7 |
| Others | 79 | 6.5 |
| Workload | ||
| Low | 657 | 53.8 |
| High | 564 | 46.2 |
| Integrated Management | ||
| Low | 571 | 46.8 |
| High | 650 | 53.2 |
| County level (level-2, | ||
| GDP per capita | ||
| Low | 4 | 33.3 |
| Average | 4 | 33.3 |
| High | 4 | 33.3 |
Differences in individual-level characteristics of village doctors’ job satisfaction (N=1221)
| Variables | Low satisfaction (%) | High satisfaction (%) |
|
|---|---|---|---|
| Overall | 627 (51.4) | 594 (48.6) | |
| Gender | 0.504 | ||
| Male | 480 (51.9) | 445 (48.1) | |
| Female | 147 (49.7) | 149 (50.3) | |
| Age (years) | <0.001 | ||
| 20–39 | 211 (59.3) | 145 (40.7) | |
| 40–59 | 343 (52.5) | 310 (47.5) | |
| 60 + | 73 (34.4) | 139 (65.6) | |
| Education | <0.001 | ||
| ≤Junior high school | 43 (28.1) | 110 (71.9) | |
| Secondary school | 443 (53.6) | 384 (46.4) | |
| >Secondary school | 141 (58.5) | 100 (41.5) | |
| Average monthly income (CNY) | 0.158 | ||
| Low | 208 (50.5) | 204 (49.5) | |
| Ordinary | 221 (55.1) | 180 (44.9) | |
| High | 198 (48.5) | 210 (51.5) | |
| Pension plan | 0.648 | ||
| None | 156 (49.4) | 160 (50.6) | |
| NRPP | 428 (51.8) | 398 (48.2) | |
| Others | 43 (54.4) | 36 (45.6) | |
| Workload | <0.001 | ||
| Low | 261 (39.7) | 396 (60.3) | |
| High | 366 (64.9) | 198 (35.1) | |
| Integrated Management | <0.313 | ||
| Low | 302 (52.9) | 269 (47.1) | |
| High | 325 (50.0) | 325 (50.0) |
a P value by chi-square test
Multilevel logistic regression estimates and variance components of village doctors’ job satisfaction
| Variables | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| OR |
| 95% C.I. | OR |
| 95% C.I. | |
| Individual level | ||||||
| Gender | ||||||
| Male (ref) | ||||||
| Female | 1.189 | 0.276 | 0.871, 1.624 | 1.194 | 0.265 | 0.874, 1.631 |
| Age (years) | ||||||
| 20–39 (ref) | ||||||
| 40–59 | 1.518 | 0.007 | 1.123, 2.053 | 1.516 | 0.007 | 1.121, 2.050 |
| 60 + | 3.434 | <0.001 | 2.164, 5.447 | 3.427 | <0.001 | 2.160, 5.436 |
| Education | ||||||
| ≤ Junior high school (ref) | ||||||
| Secondary school | 0.591 | 0.024 | 0.375, 0.933 | 0.591 | 0.024 | 0.375, 0.932 |
| > Secondary degree | 0.703 | 0.202 | 0.409, 1.208 | 0.699 | 0.194 | 0.407, 1.200 |
| Average monthly income | ||||||
| Low (ref) | ||||||
| Average | 1.056 | 0.747 | 0.758, 1.471 | 1.051 | 0.767 | 0.755, 1.465 |
| High | 1.793 | 0.001 | 1.280, 2.512 | 1.767 | 0.001 | 1.261, 2.477 |
| Pension plan | ||||||
| None (ref) | ||||||
| NRPP | 0.796 | 0.436 | 0.448, 1.413 | 0.798 | 0.442 | 0.450, 1.418 |
| Others | 1.127 | 0.465 | 0.818, 1.551 | 1.111 | 0.519 | 0.807, 1.531 |
| Workload | ||||||
| Low (ref) | ||||||
| High | 0.519 | <0.001 | 0.391, 0.689 | 0.514 | <0.001 | 0.387, 0.683 |
| Integrated Management | ||||||
| Low (ref) | ||||||
| High | 1.455 | 0.020 | 1.061, 1.997 | 1.448 | 0.021 | 1.057, 1.983 |
| County level | ||||||
| GDP | ||||||
| Low (ref) | ||||||
| Average | 0.438 | 0.136 | 0.148, 1.295 | |||
| High | 0.328 | 0.042 | 0.112, 0.960 | |||
Basic demographic information about interviewees
| Num. | Participant | Age (year) | Gender | Current Position |
|---|---|---|---|---|
| 1 | 101 | 20–39 | male | health manager |
| 2 | 102 | 60+ | male | village doctor |
| 3 | 103 | 40–59 | female | village doctor |
| 4 | 104 | 20–39 | male | village doctor |
| 5 | 105 | 60+ | female | village doctor |
| 6 | 106 | 40–59 | female | health manager |
| 7 | 107 | 60+ | male | village doctor |
| 8 | 108 | 20–39 | female | health manager |
| 9 | 109 | 20–39 | male | village doctor |
| 10 | 111 | 20–39 | male | health manager |
| 11 | 112 | 40–59 | male | health manager |
| 12 | 113 | 60+ | male | village doctor |
| 13 | 114 | 20–39 | female | village doctor |
| 14 | 115 | 40–59 | male | village doctor |
| 15 | 116 | 20–39 | male | village doctor |
| 16 | 117 | 40–59 | female | health manager |
| 17 | 118 | 20–39 | male | health manager |
| 18 | 201 | 40–59 | male | village doctor |
| 19 | 202 | 40–59 | male | health manager |
| 20 | 203 | 20–39 | male | village doctor |
| 21 | 204 | 40–59 | male | village doctor |
| 22 | 205 | 20–39 | female | village doctor |
| 23 | 206 | 20–39 | male | village doctor |
| 24 | 207 | 40–59 | male | health manager |
| 25 | 208 | 40–59 | female | village doctor |
| 26 | 209 | 40–59 | male | village doctor |
| 27 | 210 | 20–39 | male | health manager |
| 28 | 301 | 40–59 | male | health manager |
| 29 | 302 | 40–59 | male | health manager |
| 30 | 303 | 20–39 | male | health manager |
| 31 | 304 | 20–39 | male | village doctor |
| 32 | 305 | 60+ | male | village doctor |
| 33 | 306 | 20–39 | male | village doctor |
| 34 | 307 | 60+ | male | village doctor |
Differences in individual-level characteristics of village doctors’ workload
| Variables | Low workload (%) | High workload (%) |
|
|---|---|---|---|
| Gender | 0.005 | ||
| Male | 477 (51.57) | 448 (48.43) | |
| Female | 180 (60.81) | 116 (39.19) | |
| Age (years) | 0.752 | ||
| 20–39 | 189 (53.09) | 167 (46.91) | |
| 40–59 | 349 (53.45) | 304 (46.55) | |
| 60 + | 119 (56.13) | 93 (43.87) | |
| Education | <0.001 | ||
| ≤Junior high school | 106 (69.28) | 47 (30.72) | |
| Secondary school | 450 (54.41) | 377 (45.59) | |
| >Secondary school | 101 (41.91) | 140 (58.09) | |
| Average monthly income (CNY) | 0.006 | ||
| Low | 244 (59.22) | 168 (40.78) | |
| Ordinary | 217 (54.11) | 184 (45.89) | |
| High | 196 (48.04) | 212 (51.96) | |
| Pension plan | 0.098 | ||
| None | 47 (59.49) | 32 (40.51) | |
| NRPP | 427 (51.69) | 399 (48.31) | |
| Others | 183 (57.91) | 133 (42.09) |
Differences in individual-level characteristics of integrated management
| Variables | Low integrated management (%) | High integrated management (%) |
|
|---|---|---|---|
| Gender | <0.001 | ||
| Male | 406 (43.89) | 519 (56.11) | |
| Female | 165 (55.74) | 131 (44.26) | |
| Age (years) | 0.892 | ||
| 20–39 | 168 (47.19) | 188 (52.81) | |
| 40–59 | 307 (47.01) | 346 (52.99) | |
| 60 + | 96 (45.28) | 116 (54.72) | |
| Education | <0.001 | ||
| ≤Junior high school | 72 (47.06) | 81 (52.94) | |
| Secondary school | 356 (43.05) | 471 (56.95) | |
| >Secondary school | 143 (59.34) | 98 (40.66) | |
| Average monthly income (CNY) | 0.001 | ||
| Low | 217 (52.67) | 195 (47.33) | |
| Ordinary | 158 (39.40) | 243 (60.60) | |
| High | 196 (48.04) | 212 (51.96) | |
| Pension plan | 0.542 | ||
| None | 41 (51.90) | 38 (48.10) | |
| NRPP | 379 (45.88) | 447 (54.12) | |
| Others | 151 (47.78) | 165 (52.22) |