| Literature DB >> 31824907 |
Qian Yang1,2, Hao Zhang3, Mengfei Yu1, Xiaoqian Hu1, Yuxuan Gu1, Xueshan Sun1, Xuemei Zhen1, Shuyan Gu1, Minzhuo Huang1, Jingming Wei1, Yuhang Zeng1, Hengjin Dong1,4.
Abstract
In China, doctor-patient relationships (D-P relationships) are cited frequently and attracted international attention. This study assesses whether the D-P relationship experienced by the Chinese is associated with ethnicity, hospital hierarchies, and socioeconomic factors. In a national cross-sectional survey, multi-stage random sampling was adopted to assess regional and socio-economic differences between year 2016 and year 2017. Each area surveyed consisted of about 250 randomly chosen households, and valid results were obtained from 4,173 adults aged 16-99. When provided a choice of eight types of D-P relationship, for doctors in primary care institutions, 63.8% of ethnic minorities indicated having a friend-type relationship with their physicians, with 23.3% having a trading/reciprocal relationship. Han Chinese, however, predicts the opposite relationship between doctors from different hierarchy and the types of D-P relationship. For physicians working in hospitals, this difference in relationship was more pronounced, where 52.9% of ethnic minorities indicated having a friend-type relationship with their physicians, and 30.1% indicated the presence of a trading/reciprocal relationship. For Han Chinese, however, 53.3% indicated having a reciprocal relationship with their doctor. Overall, the prevalence of friendly D-P relationships was correlated with ethnic minorities, lower levels of education, and lower incomes. Ethnic minorities are most likely to perceive their physicians as friends, while Han Chinese are more likely to perceive a trading relationship with their physicians. The primary contribution of this research is the finding that D-P relationships differ for Han Chinese and other ethnic minorities.Entities:
Keywords: doctor-patient relationship; ethnic minorities; hospital hierarchy; medical sociology; social change; socioeconomic status
Year: 2019 PMID: 31824907 PMCID: PMC6880764 DOI: 10.3389/fpubh.2019.00330
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Sampling distribution of residents' health service utilization.
| Zhejiang | Jiashan county | Developed | Luoxing street | 250 |
| Zhejiang | Jiashan county | Developed | Yaozhuang town | 250 |
| Zhejiang | Jinyun county | Undeveloped | Wuyun street | 250 |
| Zhejiang | Jinyun county | Undeveloped | Xinjian street | 250 |
| Qinghai | Chengxi district | Developed | Pengjia stockaded village | 276 |
| Qinghai | Ping'an district | Developing | Ping'an town | 100 |
| Qinghai | Huzhu county | Developing | Donggou town | 124 |
| Qinghai | Jianzha county | Undeveloped | Cuozhou town | 100 |
The percentage of population characteristic of sampling sites.
| Permanent | 47.93 | 37.36 | 14.71 | 100.00 |
| Urban | 33.06 | 12.31 | 4.41 | 49.78 |
| Rural | 14.87 | 25.05 | 10.31 | 50.23 |
| Permanent | 47.93 | – | 14.71 | 100.00 |
| Non-agricultural | 26.87 | – | 4.93 | 31.80 |
| Agricultural | 45.36 | – | 22.83 | 68.20 |
Han and minority perceived D-P relationship in primary care institutions and large hospitals.
| Primary care institutions | Friend-type | 1,093 (29.4) | 293 (63.8) | 1,386 (33.2) | |
| Trading/reciprocal-type | 1,470 (39.6) | 107 (23.3) | 1,577 (37.8) | ||
| Other-type | 1,151 (40.0) | 59 (12.9) | 1,210 (29.0) | ||
| Total | 3,714 (100.0) | 459 (100.0) | 4,173 (100.0) | <0.001 | |
| Large hospitals | Friend-type | 477 (12.8) | 243 (52.9) | 720 (17.3) | |
| Trading/reciprocal-type | 1,987 (53.5) | 138 (30.1) | 2,125 (50.9) | ||
| Other-type | 1,250 (33.7) | 78 (17.0) | 1,328 (31.8) | ||
| Total | 3,714 (100.0) | 459 (100.0) | 4,173 (100.0) | <0.001 |
p-value compared with Han and Minority by χ.
Sociodemographic characteristics of the sample.
| Age group (years) | <0.001 | |||||
| 16– | 217 (5.3) | 98 (3.9) | 82 (6.7) | 1 (3.7) | 36 (8.3) | |
| 20– | 585 (14.2) | 292 (11.7) | 223 (18.2) | 6 (22.2) | 64 (14.8) | |
| 30– | 669 (16.0) | 387 (15.5) | 181 (14.8) | 11 (40.7) | 90 (20.8) | |
| 40– | 926 (22.2) | 518 (20.8) | 303 (24.8) | 4 (14.8) | 101 (23.4) | |
| 50– | 1,087 (26.0) | 708 (28.4) | 288 (23.5) | 3 (11.1) | 88 (20.4) | |
| 65– | 689 (16.5) | 488 (19.6) | 146 (11.9) | 2 (7.4) | 53 (12.3) | |
| Subtotal | 4,173 | 2,491 | 1,223 | 27 | 432 | |
| Sex | 0.82 | |||||
| Male | 2,063 (49.5) | 1,238 (49.7) | 598 (48.9) | 14 (51.9) | 213 (49.3) | |
| Female | 2,105 (50.5) | 1,253 (50.3) | 625 (51.1) | 13 (48.1) | 214 (50.1) | |
| Subtotal | 4,168 | 2,491 | 1,223 | 27 | 427 | |
| Education | <0.001 | |||||
| Never attend any school | 467 (11.2) | 152 (6.1) | 167 (13.7) | 1 (3.7) | 147 (34.0) | |
| Primary school | 942 (22.6) | 645 (26.0) | 216 (17.7) | 5 (18.5) | 76 (17.6) | |
| Junior middle school | 1,291 (31.0) | 787 (31.7) | 404 (33.0) | 12 (44.4) | 88 (20.4) | |
| High school | 474 (11.4) | 270 (10.9) | 156 (12.8) | 3 (11.1) | 45 (10.4) | |
| Technical school | 65 (1.6) | 35 (1.4) | 24 (2.0) | 2 (7.4) | 4 (0.9) | |
| Secondary specialized school | 173 (4.2) | 122 (4.9) | 41 (3.4) | 0 | 10 (2.3) | |
| Junior college | 394 (9.5) | 233 (9.4) | 127 (10.4) | 1 (3.7) | 33 (7.6) | |
| More than or equal to undergraduate degree | 360 (8.6) | 240 (9.7) | 88 (7.2) | 3 (11.1) | 29 (6.7) | |
| Subtotal | 4,166 | 2,484 | 1,223 | 27 | 432 | |
| Per capita (¥/person/year) | <0.001 | |||||
| ≤ 25% | 999 (24.1) | 661 (26.6) | 176 (14.6) | 13 (48.1) | 200 (46.8) | |
| 25% < ¥ ≤ 50% | 1,174 (28.3) | 584 (23.5) | 332 (27.5) | 6 (22.2) | 121 (28.3) | |
| 50% < ¥ ≤ 75% | 1,123 (27.1) | 502 (20.2) | 359 (29.7) | 5 (18.5) | 52 (12.2) | |
| >75% | 849 (20.5) | 735 (29.6) | 342 (28.3) | 3 (11.1) | 54 (12.6) | |
| Subtotal | 4,145 | 2,482 | 1,209 | 27 | 427 | |
| First contact health institution | ||||||
| Big hospital | 1,114 (44.7) | 128 (10.5) | 7 (25.9) | 158 (36.6) | ||
| Primary care health institution | 1,363 (54.7) | 1,094 (89.5) | 20 (74.1) | 274 (63.4) | ||
| Other institution | 14 (0.6) | 1 (0.1) | 0 | 0 | ||
| Subtotal | 2,491 | 1,223 | 27 | 432 | <0.001 | |
p-value compared with Han and Minority by χ.
Multinomial regression models for relationship with grass-roots doctors.
| Age group (Reference: 65–) | ||
| Other types 16+ | ||
| 0.600 [0.402, 0.895] | 0.645 [0.408, 1.020] | |
| Education (Reference: ≥Undergraduate) | ||
| Trading/reciprocal-type | ||
| Never attend any school | 0.354 [0.254, 0.495] | 0.603 [0.403, 0.904] |
| Primary school | 0.742 [0.554, 0.994] | 0.978 [0.692, 1.382] |
| Other types | ||
| Never attend any school | 0.413 [0.290, 0.586] | 1.053 [0.684, 1.623] |
| Primary school | 0.721 [0.527, 0.984] | 1.095 [0.754, 1.592] |
| Income (Reference: quartile 4) | ||
| Trading/reciprocal-type | ||
| Quartile 1 | 0.339 [0.275, 0.419] | 0.408 [0.320, 0.520] |
| Quartile 2 | 0.739 [0.601, 0.909] | 0.826 [0.659, 1.036] |
| Quartile 3 | 1.633 [1.309, 2.039] | 1.673 [1.323, 2.116] |
| Other types | ||
| Quartile 1 | 0.361 [0.293, 0.466] | 0.388 [0.304, 0.496] |
| Quartile 2 | 0.519 [0.418, 0.644] | 0.567 [0.447, 0.721] |
| Quartile 3 | 0.727 [0.571, 0.927] | 0.742 [0.573, 0.961] |
| Province (Reference: Qinghai) | ||
| Trading/reciprocal-type | 1.327 [1.148, 1.536] | 1.019 [0.858, 1.209] |
| Other types | 3.057 [2.584, 3.617] | 2.405 [1.979, 2.923] |
| Ethnicity (Reference: Minority) | ||
| Trading/reciprocal-type | 3.683 [2.912, 4.658] | 2.547 [1.951, 3.326] |
| Other types | 5.230 [3.907, 7.001] | 2.345 [1.693, 3.249] |
OR, odds ratio; CI, confidence interval. Reference group: friend-type.
Multinomial regression models for relationship with doctors in large hospital.
| Education (Reference: ≥Undergraduate) | ||
| Trading/reciprocal-type never attend any school | ||
| 0.299 [0.203, 0.440] | 0.568 [0.349, 0.922] | |
| Other types | ||
| Never attend any school | 0.324 [0.217, 0.483] | 0.811 [0.489, 1.344] |
| Primary school | 0.585 [0.400, 0.856] | 0.823 [0.521, 1.301] |
| Income (Reference: quartile 4) | ||
| Trading/reciprocal -type vs. friends | ||
| Quartile 1 | 0.272 [0.213, 0.347] | 0.387 [0.290, 0.516] |
| Quartile 2 | 0.578 [0.448, 0.744] | 0.668 [0.503, 0.887] |
| Quartile 3 | 1.464 [1.090, 1.967] | 1.461 [1.065, 2.004] |
| Other types vs. friends | ||
| Quartile 1 quartile 2 | 0.349 [0.271, 0.448]gayu 0.636 [0.474, 0.854] | 0.487 [0.362, 0.656]gayu 0.582 [0.432, 0.785] |
| Province (Reference: Qinghai) | ||
| Trading/reciprocal -type | 1.316 [1.111, 1.559] | 0.598 [0.476, 0.751] |
| Other types | 2.327 [1.929, 2.807] | 1.109 [0.869, 1.413] |
| Ethnicity (Reference: Minority) | ||
| Trading/reciprocal -type | 7.335 [5.819, 9.247] | 6.931 [5.206, 9.226] |
| Other types | 8.164 [6.195, 10.759] | 6.503 [4.683, 9.030] |
OR, odds ratio; CI, confidence interval. Reference group: friend-type.
Figure 1Interaction between ethnics and income for Friends relationship with doctors in Primary Care Institution in Qinghai Province.
Figure 2Interaction between ethnics and income for Friends relationship with doctors in Big Hospitals in Qinghai Province.
Figure 3Interaction between ethnics and income for Friends relationship with doctors in Primary Care Institution for Han Chinese.
Figure 4Interaction between ethnics and income for Friends relationship with doctors in Big Hospitals for Han Chinese.