| Literature DB >> 33853589 |
Bei Liu1, Xiaohe Wang2, Tao Sun3, Jinghui Wang4, Shu'e Zhang4, Yu Shi4.
Abstract
BACKGROUND: Conflict between physicians and patients is an increasingly serious problem, leading to the disrepute attached to Chinese physicians' social image and position. This study assesses the status of physicians' self-perceived professional reputation damage and explains it's the adverse outcomes including withdrawal behavior and workplace well-being. Moreover, potential causes of Chinese physicians' disrepute have been outlined.Entities:
Keywords: Chinese physicians; Cross-sectional design; Damaged professional reputation; Deteriorating patient-provider relationship; Withdrawal behavior; Workplace well-being
Year: 2021 PMID: 33853589 PMCID: PMC8048359 DOI: 10.1186/s12913-021-06306-6
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Characteristics of the Respondents (n = 842)
| Characteristics | N | % | M ± SD | ||
|---|---|---|---|---|---|
| 699 | 83% | ||||
| Male | 391 | 46.4 | 3.54 ± 1.05 | < 0.001 | |
| Female | 451 | 53.6 | 3.32 ± 0.94 | ||
| ≤ 30 | 196 | 23.3 | 3.31 ± 0.92 | 0.201 | |
| 31–40 | 328 | 39.0 | 3.45 ± 0.98 | ||
| 41–50 | 220 | 26.1 | 3.50 ± 1.06 | ||
| ≥ 51 | 98 | 11.6 | 3.37 ± 1.06 | ||
| ≤ 2 | 206 | 24.5 | 3.32 ± 0.93 | 0.426 | |
| 5–9 | 147 | 17.5 | 3.44 ± 1.03 | ||
| 10–14 | 153 | 18.2 | 3.50 ± 0.95 | ||
| 15–19 | 75 | 8.9 | 3.36 ± 0.82 | ||
| ≥ 20 | 261 | 31.0 | 3.47 ± 1.10 | ||
| Tertiary hospital | 673 | 79.9 | 3.47 ± 1.00 | 0.042 | |
| Second-class hospital | 131 | 15.6 | 3.22 ± 0.97 | ||
| Primary hospital | 17 | 2.0 | 3.35 ± 1.00 | ||
| Non-classified hospital | 21 | 2.5 | 3.14 ± 0.79 | ||
| College degree or below | 37 | 4.4 | 2.81 ± 0.91 | < 0.001 | |
| Bachelor | 410 | 48.7 | 3.39 ± 1.02 | ||
| Master | 310 | 36.8 | 3.50 ± 0.92 | ||
| Doctor | 85 | 10.1 | 3.55 ± 1.12 | ||
| Single | 183 | 21.7 | 3.27 ± 0.96 | 0.021 | |
| Married | 627 | 74.5 | 3.48 ± 1.01 | ||
| Divorce or loss of spouse | 32 | 3.8 | 3.19 ± 0.82 | ||
| Without professional title | 55 | 6.5 | 3.09 ± 0.84 | < 0.001 | |
| Resident physician | 224 | 26.6 | 3.26 ± 0.97 | ||
| Attending physician | 242 | 28.7 | 3.55 ± 0.98 | ||
| Associate chief physician | 184 | 21.9 | 3.58 ± 0.99 | ||
| Chief Physician | 137 | 16.3 | 3.38 ± 1.07 | ||
| ≤ 3000 Yuan | 98 | 11.6 | 3.34 ± 0.93 | 0.632 | |
| 3001–6000 Yuan | 323 | 38.4 | 3.39 ± 1.00 | ||
| 6001–9000 Yuan | 238 | 28.3 | 3.50 ± 0.99 | ||
| 9001–20,000 Yuan | 157 | 18.6 | 3.43 ± 1.03 | ||
| ≥ 20,000 Yuan | 26 | 3.1 | 3.42 ± 1.06 | ||
Description information of main variables (n = 842)
| Level | n | % | accumulative percent |
|---|---|---|---|
| Very Positive | 13 | 1.5 | 1.5 |
| Positive | 130 | 15.4 | 17.0 |
| General | 334 | 39.7 | 56.7 |
| Negative | 219 | 26.0 | 82.7 |
| Very Negative | 146 | 17.3 | 100.0 |
| Never | 97 | 11.5 | 11.5 |
| Very seldom | 300 | 35.6 | 47.1 |
| Quite often | 286 | 34.0 | 81.1 |
| Very often indeed | 126 | 15.0 | 96.1 |
| Nearly all the time | 33 | 3.9 | 100.0 |
| Not at all | 161 | 19.1 | 19.1 |
| Very seldom | 283 | 33.6 | 52.7 |
| Sometimes | 197 | 23.4 | 76.1 |
| Often | 140 | 16.6 | 92.8 |
| Nearly all the time | 61 | 7.2 | 100.0 |
| Strongly Agree | 12 | 1.4 | 1.4 |
| Agree | 112 | 13.3 | 14.7 |
| Neutral | 151 | 17.9 | 32.7 |
| Disagree | 320 | 38.0 | 70.7 |
| Strongly Disagree | 247 | 29.3 | 100.0 |
| Not at all | 53 | 6.3 | 6.3 |
| Not Often | 158 | 18.8 | 25.1 |
| Sometimes | 320 | 38.0 | 63.1 |
| Usually | 234 | 27.8 | 90.9 |
| Definitely | 77 | 9.1 | 100.0 |
| Very unhappy | 37 | 4.4 | 4.4 |
| Unhappy | 152 | 18.1 | 22.4 |
| Uncertainty | 318 | 37.8 | 60.2 |
| Happy | 314 | 37.3 | 97.5 |
| Perfectly happy | 21 | 2.5 | 100.0 |
| I enjoy my work. I have no symptoms of burnout. | 22 | 2.6 | 2.6 |
| Occasionally I am under stress, and I don’t always have as much energy as I once did, but I don’t feel burned out. | 429 | 51.0 | 53.6 |
| I am definitely burning out and have one or more symptoms of burnout, such as physical and emotional exhaustion. | 202 | 24.0 | 77.6 |
| The symptoms of burnout that I’m experiencing won’t go away. I think about frustration at work a lot. | 126 | 15.0 | 92.5 |
| I feel completely burned out and often wonder if I can go on. I am at the point where I may need some changes or may need to seek some sort of help. | 63 | 7.5 | 100.0 |
Rotated factor loading matrix of all items
| Items | Factor Loading |
|---|---|
| Incompatible functions between health system and insurance, medical expenses are overburdening patients. | 0.769 |
| Government investment in healthcare industry is inadequate, while the reason for increasing medical expenses is often mistakenly attributed to Chinese physicians. | 0.767 |
| Imperfect salary structure in public hospitals results in a low reward of Chinese physicians. | 0.765 |
| The unclear boundary between the power and responsibility caused by a defective legal system result in increasing difficulty to maintain the interests of both physicians and patients in China. | 0.749 |
| Chinese physicians are overloaded owing to consulting with an excessive number of patients. | 0.713 |
| High-quality resources are concentrated in the big cities, resulting in overcrowding in large hospitals. | 0.693 |
| Current social trust is generally lower in China, which in turn exacerbates the gap in trust between the physicians and patients. | 0.684 |
| Information regarding the negative reputation of physicians diffuses quickly in an internet era of easy interconnection. | 0.631 |
| Public and media platforms are prone to ideologies of conspiracies and lack recognition for medical profession and clinicians. | 0.623 |
| During this social transformation period, wide-ranging inequity triggers public dissatisfaction with all Chinese industries. | 0.558 |
| Physicians’ Communication skill with patients is poor. | 0.806 |
| The service attitude of some physicians is not good. | 0.803 |
| The professionalism of some physicians is absent. | 0.775 |
| Busy physicians are without enough time to care for their patients. | 0.770 |
| Alert physicians often distrust their patients or their relatives. | 0.695 |
| Pursuing the economic interests of some physicians leads to occasionally excessive diagnosis and treatment. | 0.688 |
| Professional ability and skill Some physicians are deficient. | 0.688 |
| Some patients or their relatives are hot-tempered and fail to cooperate with their physicians. | 0.771 |
| Some patients or their relatives are biased and show distrust toward Chinese physicians. | 0.717 |
| Social media used to promote reproachful narration toward Chinese physicians without professional or medical judgment. | 0.693 |
| Some patients or their relatives often raise unreasonable expectations of their physician. | 0.683 |
| Social media used to pursue to sensational press or reports regarding physician-patient dispute event lead to magnified, distorted, and amplified results. | 0.647 |
| The patients or their relatives believe that either the physician or hospitals generate the result of Chinese high medical expenses. | 0.579 |
| Chinese public hate to seek laws to deal with a medical error or accident. | 0.577 |
| Inadequate cooperation between different departments in Chinese public hospitals lends to low-efficiency management. | 0.769 |
| Due to poor procedure (awaiting long queues during many operations and steps such as registration, complications with receiving a diagnosis and getting medicine) patients’ time in consultation and treatment services is shortened. | 0.695 |
| Hospitals pay much attention to economic benefits, which in turn increase patients’ medical costs. | 0.626 |
| Hospital management is not scientific and chaotic. | 0.614 |
| Some hospitals’ medical equipment and hardware are inadequate. | 0.611 |
| The setting, operation, and medical institutions in public hospital are user-friendly. | 0.587 |
Means, standard deviation (SD) and correlations of continuous variables (n = 842)
| Variables | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|---|---|
| 1. Self-perceived professional reputation damage | 3.42 | 1.00 | 1 | ||||||
| 2. Defensive medicine | 2.64 | 1.00 | 0.205** | 1 | |||||
| 3. Turnover intention | 2.59 | 1.18 | 0.253** | 0.220** | 1 | ||||
| 4. Career choice advice | 3.81 | 1.05 | 0.333** | 0.082* | 0.355** | 1 | |||
| 5. Perceived stress | 3.15 | 1.03 | 0.229** | 0.199** | 0.467** | 0.234** | 1 | ||
| 6. Burnout | 2.74 | 1.00 | 0.236** | 0.259** | 0.537** | 0.294** | 0.551** | 1 | |
| 7. Well-being | 3.15 | 0.90 | −0.343** | −0.208** | − 0.493** | − 0.340** | − 0.402** | − 0.466** | 1 |
Note: ** p < 0.01, Pearson Correlation is significant at the 0.01 level (2-tailed)
Hierarchical linear regression models for withdrawal behaviors
| Variables | Defensive medicine | Turnover intention | Career choice advice | |||
|---|---|---|---|---|---|---|
| Age | 0.117 | 0.129 | −0.083 | − 0.067 | − 0.119 | − 0.096 |
| Sex | − 0.242 | − 0.224** | −0.013 | 0.012 | 0.011 | 0.046 |
| Marital status | −0.023 | −0.028 | 0.015 | 0.007 | −0.010 | −0.021 |
| Service Years | 0.079 | 0.073 | 0.079 | 0.071 | −0.007 | −0.019 |
| Hospital level | −0.012 | 0.000 | 0.058 | 0.075* | −0.026 | −0.003 |
| Education level | 0.048 | 0.035 | −0.038 | −0.057 | − 0.049 | −0.075* |
| Professional title | −0.050 | −0.065 | 0.077 | 0.055 | 0.117 | 0.087 |
| Monthly income | −0.052 | −0.025 | − 0.173*** | −0.134*** | − 0.127* | −0.074 |
| Self-perceived professional reputation damage | 0.172*** | 0.240*** | 0.332** | |||
| | 9.471*** | 11.552*** | 4.646*** | 9.940*** | 2.486* | 13.443*** |
| | 0.083*** | 0.111*** | 0.043*** | 0.097*** | 0.023* | 0.127*** |
| | 0.083*** | 0.028*** | 0.043*** | 0.054*** | 0.023* | 0.104*** |
Notes-M MM: the influence of demographic variables on the Defensive medicine, Turnover intention and Career choice advice; MMM: the influence of Self-perceived professional reputation damage on on the Defensive medicine, Turnover intention and Career choice advice; Notes-hierarchical linear regression * p < 0.05 (2-tailed), ** p < 0.01 (2-tailed), *** p < 0.001 (2-tailed)
Hierarchical linear regression models for workplace well-being
| Variables | Perceived stress | Burnout | Well-being | |||
|---|---|---|---|---|---|---|
| Age | −0.114 | −0.100 | −0.016 | −0.002 | 0.089 | 0.068 |
| Sex | −0.072* | −0.050 | − 0.118** | −0.096** | 0.125*** | 0.092** |
| Marital status | 0.094* | 0.087* | 0.037 | 0.030 | 0.030 | 0.040 |
| Service Years | 0.022 | 0.015 | −0.050 | −0.058 | 0.011 | 0.022 |
| Hospital level | 0.025 | 0.040 | −0.020 | −0.006 | − 0.012 | −0.033 |
| Education level | −0.009 | −0.026 | 0.026 | 0.010 | 0.011 | 0.035 |
| Professional title | 0.057 | 0.038 | 0.028 | 0.009 | −0.179** | − 0.151* |
| Monthly income | −0.106** | − 0.072* | −0.131*** | − 0.098** | 0.179*** | 0.130*** |
| Self-perceived professional reputation damage | 0.214*** | 0.209*** | −0.311*** | |||
| | 2.703** | 6.776*** | 3.726*** | 7.549*** | 6.442*** | 16.201*** |
| | 0.025** | 0.068*** | 0.035*** | 0.075*** | 0.058*** | 0.149*** |
| | 0.025** | 0.043*** | 0.035*** | 0.041*** | 0.058*** | 0.091*** |
Notes-M MM: the influence of demographic variables on the Perceived stress, Burnout and Well-being; MMM: the influence of Self-perceived professional reputation damage on the Perceived stress, Burnout and Well-being; Notes-hierarchical linear regression * p < 0.05 (2-tailed), ** p < 0.01 2-tailed), *** p < 0.001 (2-tailed)