| Literature DB >> 33810490 |
Ying Mao1,2, Wei Ning1,2, Ning Zhang1,2, Tao Xie1,2, Jinnan Liu1,2, Yongbo Lu1,2, Bin Zhu3.
Abstract
With a surge of conflicts between healthcare workers and patients in recent years, the therapeutic relationship (TR) in China is presently in tension. Meanwhile, consequent issues have begun to emerge, such as the distrust between healthcare workers and patients and the decline in the quality of medical services. Although many empirical studies about the TR have been conducted in China, previous studies on TR and its influencing factors have been contradictory. Therefore, this study conducted a systematic review and meta-analysis to assess the current situation of the TR and to identify factors associated with the TR in Chinese hospitals from three perspectives (healthcare worker, patient, and therapeutic interaction). Two reviewers independently searched the literature, selected researches, and extracted data through comprehensively searching of three international electronic databases and three Chinese electronic databases to identify all relevant observational studies on influencing factors for TR in China published in English and Chinese from January 2000 to January 2020. Among the 3290 records initially identified, 11 studies met the selection criteria. A total of 96,906 individuals were included in the review. The results showed that 55.73% of healthcare workers consider the TR to be tense, and 33.7% of patients hold this view. The meta-analysis indicated that healthcare workers who were male, older, less educated, working in a non-surgical department, and had a senior title were more likely to be pessimistic about the TR. Patients who were rural residents, highly educated, and had no medical insurance were more likely to be pessimistic about the TR. Furthermore, the mutual trust could improve rapport between healthcare workers and patients. The 25 other related factors related to the TR were analyzed and described using a narrative approach. The findings might deserve consideration in the design of relative policies to promote harmony between doctors and patients.Entities:
Keywords: determinants; medical disputes; meta-analysis; systematic review; therapeutic relationship
Year: 2021 PMID: 33810490 PMCID: PMC8037362 DOI: 10.3390/ijerph18073460
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of selection criteria.
| Characteristics | Criteria |
|---|---|
| Study type | Empirical studies published in a peer-reviewed journal |
| Study design | Cross-sectional studies |
| P (Population) | Doctors/Nurses and Patients |
| I (Intervention) | Population with positive attitudes towards the TR |
| C (Comparator) | Population with pessimistic attitudes towards the TR |
| O (Outcomes) | Studies that analysed the current situation and the related determinants, factors or influences of TR |
| Language | None language restrictions |
| Publication period | After 1 January 2000 and before 1 January 2020 |
Figure 1Flow diagram of study selection.
Characteristics of 11 included studies.
| Authors | Location | Participants | Sample Size | Analytical Perspective | Determinants | Negative Cases Rate *, N (%) |
|---|---|---|---|---|---|---|
| Shi, 2017 [ | 16 provinces * (municipalities or autonomous regions) | Nurses | 15,970 (74.77) | HWP | Gender, Age, Education level, Marital status, Professional title, Employment form, Income, Department, Years of experience, Working time per day, Time spent in direct contact with patients. | 10,502 (65.76) |
| Zhao, 2017 [ | Chongqing | Medical personnel | 520 (not stated) | HWP & TIP | HWP: Education level, Professional title, Income satisfaction, Medical ethics, Workload, Whether disputed with patient, Whether medical disputes interfere with work. | 421 (80.96) |
| Yuan, 2017 [ | Shanxi | Medical personnel | 3663 (81.40) | HWP | Gender, Age, Years of experience, Education level, Professional title, Marital status, Employment form, Department, Income. | 2334 (63.72) |
| Liu, 2018 [ | Nationwide | Medical personnel | 44,086 (not stated) | HWP | Gender, Age, Hospital type, Region, Professional title, Administrative position, Department, Income, Medical liability insurance. | 24,540 (55.66) |
| Gao, 2015 [ | Chongqing | Doctors | 160 (100) | HWP | Education level, Professional title, Workload, Daily average rate of outpatient visits, Working time per day, Whether disputed with patient, Whether worry about encountering dispute. | 132 (82.50) |
| Zhao, 2018 [ | Nationwide | Outpatients | 29,105 (99.82) | PP | Hospital type, Region, Age, Gender, Department, Whether first visit, Education level, Medical insurance, Household income, Registration, Registered residence, Sources of patients, Whether have a familiar doctor, Whether have family doctors, Referral. | 8752 (30.07) |
| Zhang, 2011 [ | Weifang | Patients | 498 (not stated) | PP & TIP | PP: Medical expenses, Whether have family doctors. | 234 (46.99) |
| Wang, 2015 [ | Wuhan | Patients & Medical personnel | Medical personnel: 618 (not stated) | HWP & PP & TIP | HWP: Gender, Age, Years of experience, Education level, Professional title, Career satisfaction, ability to handle dispute. | Medical personnel: 206 (33.33) |
| Yang, 2014 [ | Hubei | Patients | 1539 (95.60) | PP & TIP | PP: Age, Education level, Medical insurance. | 203 (13.19) |
| Deng, 2010 [ | Changsha | Patients & Medical personnel | Medical personnel: 49 | HWP & PP | HWP: Age, Gender, Professional title, Department, Education level. | Medical personnel: 4 (8.16) |
| Liu, 2010 [ | Urumqi | Patients | 1514 (not stated) | PP | Medical insurance, Education level | 303 (20.01) |
* 16 provinces (municipalities or autonomous regions) mean Beijing, Tianjin, Hebei, Shandong, Guangdong, Liaoning, Shanxi, Henan, Anhui, Hunan, Heilongjiang, Ningxia, Shannxi, Gansu, Sichuan, and Chongqing. * ‘negative cases’ means the population with pessimistic attitudes towards the TR. * ‘patient entertains doctors’ means that patients invite the doctors to dinner in order to get an appointment with a better doctor, better care, or some preferential treatments else.
Assessment of risk of bias.
| Authors | Sample Representativeness | Sample Size | Respondent Rate | Ascertainment of the Exposure | Comparability of Subjects in Different Outcome Groups | Outcome | Appropriate Statistical Test | Total Score |
|---|---|---|---|---|---|---|---|---|
| Shi, 2017 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 |
| Zhao, 2017 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 5 |
| Yuan, 2017 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 |
| Liu, 2018 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 6 |
| Gao, 2015 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 6 |
| Zhao, 2018 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 |
| Zhang, 2011 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 5 |
| Wang, 2015 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 5 |
| Yang, 2014 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 |
| Deng, 2010 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 6 |
| Liu, 2010 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 5 |
Notes: Study type: cross-sectional; sore: 1 = achieved, 0 = not achieved.
Figure 2Forest plots of healthcare worker-related determinants.
Figure 3Forest plots of patient-related determinants.
Figure 4The forest plot of healthcare worker-patient trust.