Hong Kong Med J 2023 Feb;29(1):57-65 | Epub 9 Feb 2023
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE (HEALTHCARE IN MAINLAND CHINA)
Assessment of healthcare quality among village clinicians in rural China: the role of internal work motivation
Q Gao, PhD; L Peng, MSc; S Song, MSc; Y Zhang, MSc; Y Shi, PhD
Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, China
 
Corresponding author: Prof Y Shi (shiyaojiang7@gmail.com)
 
 Full paper in PDF
 
Abstract
Introduction: The quality of primary care is important for health outcomes among residents in China. There is evidence that internal work motivation improves the quality of healthcare provided by clinicians. However, few empirical studies have examined the relationship between internal work motivation and clinical performance among village clinicians in rural China. This study was performed to evaluate healthcare quality among village clinicians, then explore its relationships with internal work motivation among those clinicians.
 
Methods: We collected survey data using a standardised patient method and a structured questionnaire. We observed 225 interactions between standardised patients and village clinicians from 21 counties in three provinces. We used logistic regression models to analyse the relationships between work motivation and healthcare quality, then conducted heterogeneity analysis.
 
Results: Healthcare quality among village clinicians was generally low. There was a significantly positive correlation between internal work motivation and healthcare quality among village clinicians (P<0.1). Additionally, the positive effect of internal work motivation on healthcare quality was strongest among clinicians who received financial incentives and had a lighter workload (fewer patients per month) [P<0.1].
 
Conclusion: Healthcare quality among village clinicians requires urgent improvement. We recommend implementing financial incentives to stimulate internal work motivation among village clinicians, thus improving their clinical performance.
 
 
New knowledge added by this study
  • Internal work motivation was positively correlated with healthcare quality among village clinicians in rural China.
  • The positive correlation was strongest among clinicians who received financial incentives and had a lighter workload (fewer patients per month).
Implications for clinical practice or policy
  • Healthcare quality among village clinicians in rural China should be enhanced by improving their internal work motivation.
  • Interventions that include financial incentives should be implemented to strengthen the positive effect of internal work motivation on healthcare quality among clinicians.
 
 
Introduction
Village clinics, the first tier of rural health systems in China, are responsible for preventing and treating common diseases among rural residents.1 2 However, the quality of healthcare provided by village clinicians may be unsatisfactory in rural China.3 4 Village clinicians generally have a low level of education and limited medical qualifications.4 There is some evidence that, among village clinicians, the first records of formal schooling are primarily vocational school degrees; most (84.3%) of these clinicians only have the basic medical certification necessary to practise medicine in rural areas.5 Moreover, despite limited empirical evaluation, available data indicate that rural primary clinicians have low diagnostic quality and provide poor management of chronic diseases.6 A 2012 study in Shaanxi Province revealed that 41% of diagnoses were incorrect; treatments were considered correct or partially correct in 53% of clinician-patient interactions.5 A systematic review of 24 studies between 2000 and 2012 showed the rate of antibiotic use in rural clinics was much higher than the rate recommended by the World Health Organization.7 8
 
The Chinese Government has recognised the need to strengthen primary healthcare in rural areas. To improve health among rural residents, the government has recently issued multiple policies that are intended to improve service capacity within primary medical systems.9 10 For example, to improve clinical knowledge among village clinicians, several government departments jointly implemented a plan in 2013, which focused on the provision of continuing education for clinicians.11 In 2019, the Basic Medical and Health Promotion Law of the People’s Republic of China emphasised the need to support the development of primary medical institutions and implement various policies that would improve primary medical service capabilities.12
 
Although improvements in internal work motivation among village clinicians may help to enhance their medical performance, few empirical studies have examined the relationship between these two characteristics among village clinicians in rural China. Theory-focused researches indicate that internal work motivation is important for improvements to clinician performance.13 14 Other theory-based researches in China have suggested that clinicians with higher internal motivation are more likely to deliver higher-quality work.15 16 Quantitative analyses of clinician behaviour, primarily conducted in other countries, have also revealed positive effects of internal work motivation on healthcare quality and work performance of clinicians.17 18 19 To our knowledge, empirical studies of work motivation in China have primarily focused on individuals in business careers and similar occupations; few have considered groups of clinicians.20 21 22 Thus, there have been few empirical studies involving village clinicians in rural China.
 
This study explored the relationship between internal work motivation and healthcare quality among village clinicians in rural China. First, using a standardised patient method and questionnaire interviews, we evaluated healthcare quality and internal work motivation among village clinicians. Second, we examined the relationships between internal work motivation and healthcare quality among village clinicians. Third, we conducted heterogeneity analysis with a focus on clinician workload and financial incentives.
 
Methods
Sampling and data collection
Our study sampling was conducted in the rural areas of three prefectures, each located in one of the following three provinces: Sichuan, Shaanxi, and Anhui. Representative samples were selected using a multi-level random method. First, 21 sample counties were randomly selected from the sample prefectures. Next, 10 townships from each sampled county were randomly chosen as sample townships; 209 sample townships were selected because one sample county contained only nine townships. Then, one village was randomly selected from each township. Finally, all village clinics in the sample village were included; one standardised patient interaction was completed in the sample village.
 
We conducted two sets of surveys to collect data regarding basic characteristics, internal work motivation, and healthcare quality among village clinicians in 2015. In the first set of surveys, we primarily gathered information regarding the characteristics of village clinics and village clinicians. Specifically, we used a facility structured questionnaire to enquire about the value of each sample clinic’s medical instruments and institutional net income in 2014 (both in Renminbi [RMB]), and length of daily lunch break (hours). We recorded the following characteristics of sample village clinicians: age, gender, level of education and clinical qualifications, duration of service, monthly salary (in RMB), number of training days in 2014, clinician workload (mean number of patients per month), mean duration of consultation per patient (minutes), and any financial incentives. Additionally, we asked village clinicians to respond to questions regarding internal work motivation.
 
In the second set of surveys, we used a standardised patient method to evaluate the quality of healthcare provided by sample village clinicians. This method avoids problems such as the Hawthorne effect and recall bias, accurately assesses healthcare quality among clinicians, and is widely used in other countries.23 24 We recruited 63 individuals (ie, standardised patients; 21 in each province) to present three predetermined disease cases of diarrhoea, tuberculosis, and unstable angina in a standardised manner. Generally, we randomly allocated one standardised patient to each sample clinic to report a case that had been randomly selected prior to allocation.
 
Measurement of healthcare quality
We evaluated the quality of healthcare provided by village clinicians using three indicators: process quality, diagnostic accuracy, and treatment accuracy. We assigned a process quality value of 1 to clinicians who completed more than the mean percentage of suggested items, indicating a high-quality enquiry process. Otherwise, the process quality value was 0. Regarding diagnostic and treatment accuracies, we assigned a value of 0 to an ‘incorrect’ result, based on predetermined criteria. Otherwise, ‘correct’ or ‘partly correct’ results were assigned an accuracy value of 1. The treatment was also considered correct if the clinician referred the patient to a higher-level hospital.
 
Measurement of internal work motivation
According to Amabile and Mueller,25 an individual’s work motivation is defined as internal work motivation if it originates from love and interest. The internal motivation instrument in our study included four items, such as ‘because I like what I do for a living'. The responses of four items were rated on a 7-point Likert-type scale, ranging from 1 = strongly disagree to 7 = strongly agree. In this study, we assigned a value of 0 to responses indicating disagreement or neutrality (with original score of 1-4) and a value of 1 to responses indicating agreement (with original score of 5-7). The total score of the four items on our instrument represented a clinician's level of internal work motivation. The total score ranges from 0 to 4; a higher score indicated a higher level of motivation.
 
The Cronbach’s α value of the internal work motivation questionnaire was 0.826, which indicated that the scale had good internal consistency. The Kaiser–Meyer–Olkin value of the questionnaire was 0.705, indicating that the scale had good structural validity. These results confirmed that the questionnaire was an acceptable measurement tool.
 
Statistical analysis
STATA15.0 software (Stata Corporation; College Station [TX], United States) was used to perform descriptive and regression analyses of the collected data. Logistic regression models with a significance threshold of P<0.1 were used to analyse relationships between internal work motivation and healthcare quality.26 27 28 Two items, clinician workload × internal motivation interaction and financial incentive × internal motivation interaction, were added to the model for analyses of heterogeneity. All regression analyses were adjusted for fixed effects of disease cases, standardised patients, and the coder.
 
Results
Characteristics of sample village clinicians and clinics
In total, 225 village clinicians from 225 village clinics were included in this study. Table 1 describes the basic characteristics of sample village clinicians. The mean age of the clinicians was 49.20 years, and 196 clinicians (87.11%) were men. Among the 225 clinicians, 25 (11.11%) had attended college or above, whereas seven (3.11%) had a practising clinician qualification. Each clinician examined a mean of 171 patients per month. Mean salaries for village clinicians were particularly low (slightly >1900 RMB per month), and 103 clinicians (45.78%) had received financial incentives.
 

Table 1. Characteristics of sample village clinics and clinicians (n=225)
 
Table 1 also describes the characteristics of sample village clinics. The mean value of medical equipment was 920 RMB, and the mean institutional net income in 2014 was 25 500 RMB. However, only 86 clinics (38.22%) had a medical equipment value above the mean. This result indicates that the value of medical equipment considerably varied among sample clinics, and the value of medical equipment in most clinics was inadequate. Notably, clinics had a mean lunch break length of <1 hour.
 
Healthcare quality among village clinicians
The unannounced standardised patients completed 225 disease cases (57, 87, and 81 cases of diarrhoea, angina, and tuberculosis, respectively). Table 2 shows the healthcare quality among sample village clinicians determined via three disease cases. On average, the clinicians completed 17% of the recommended consultation and examination items. Furthermore, 129 clinicians (57.33%) completed fewer than the mean number of recommended consultation and examination items. Among all types of cases, 73 clinicians (32.44%) provided a completely or partially correct diagnosis. Furthermore, 94 clinicians (41.78%) provided correct or partly correct treatments across all types of cases. Although the results of these three indicators varied among diseases, the percentages of clinicians with number of recommended consultation and examination items above the mean, number of correct diagnoses, and number of treatments for each disease were generally low.
 

Table 2. Healthcare quality among sample village clinicians determined via three disease cases
 
Internal work motivation of village clinicians
Table 3 shows the levels of internal work motivation among sample village clinicians. Overall, 213 clinicians (94.67%) believed that ‘I like what I do for a living’ or ‘I enjoy my job’ motivated their work in clinics. Furthermore, 187 (83.11%) and 206 (91.56%) clinicians indicated that their respective main work motivations were ‘because my job is interesting’ and ‘because my job is fun’. Integration of the scores for the four items revealed that the mean overall score for internal work motivation was 3.64 ± 0.85 (range, 0-4).
 

Table 3. Internal work motivation of sample village clinics (n=225)
 
Relationships between internal work motivation and healthcare quality among village clinicians
Table 4 presents the results of logistic regression analysis of the relationship between internal work motivation and healthcare quality among village clinicians. Internal work motivation had a positive effect on clinical performance among sample clinicians. Specifically, for each one-unit increase in internal work motivation, village clinicians were 42.17% (P<0.1) and 45.61% (P<0.1) more likely to provide a correct or partially correct diagnosis and treatment, respectively.
 

Table 4. Logistic regression analysis of relationships between internal work motivation and healthcare quality among sample village clinicians
 
Table 5 shows the results of heterogeneity analysis from the perspective of clinician workload and financial incentives. The clinician workload × internal motivation interaction was significantly negatively correlated with diagnostic accuracy, whereas the financial incentive × internal motivation interaction was significantly positively correlated with treatment accuracy (P<0.1). These results indicate that a heavier workload could hinder the positive effect of internal motivation on diagnostic accuracy among village clinicians. Furthermore, among village clinicians who received financial incentives, the positive effect of their internal work motivation on their treatments was stronger than the corresponding effect among village clinicians who did not receive financial incentives.
 

Table 5. Heterogeneity analysis of the relationship between internal work motivation and healthcare quality among sample village clinicians
 
Discussion
This study evaluated the healthcare quality among village clinicians in rural China and its relationship with internal work motivation among these clinicians, through an analysis of 225 rural village clinicians from three provinces in 2015. There were three main findings. First, healthcare quality among village clinicians needed to be improved. Second, village clinicians with stronger internal work motivation were more likely to offer appropriate treatment. Third, village clinicians with a lighter workload (fewer patients per month) or financial incentives exhibited a stronger positive correlation between internal motivation and healthcare quality.
 
Generally, interactions between unannounced standardised patients and sample village clinicians showed that poor healthcare quality was provided by village clinics in rural China. On average, village clinicians completed only 17% of the recommended consultation and examination items. The rates of diagnostic accuracy and treatment accuracy (including correct or partly correct treatment) were 32.44% and 41.78%, respectively. Our findings of poor healthcare quality are comparable with the results of other studies performed at primary health centres in rural China. For example, a study based on the patient’s perspective, conducted in Guangdong Province, highlighted the difficulty in maintaining adequate coordination among primary medical services.29 A survey using a standardised patient method revealed that healthcare quality was worse in rural China than in primary care settings in Nairobi, Kenya.30 A systematic analysis of rural township health centres in Shandong Province also indicated a need for improved healthcare quality among primary care clinicians.16
 
We found that internal work motivation was generally high among village clinicians. The mean internal work motivation score was 3.64 ± 0.85, indicating that most village clinicians liked their jobs and were interested in their careers. Consistent with our findings, previous studies in other countries showed that most medical workers had high levels of internal work motivation.31 32 33 Although few empirical studies have evaluated internal work motivation among village clinicians, there is some evidence that rural primary care clinicians in China experience meaning and pleasure from engaging in medical work.13 Additionally, similar to results in other countries, we found that among the intrinsic factors, most village clinicians believed that a love for their career motivated them to work.33 34 35
 
Consistent with data from studies in other countries,17 19 our empirical analysis demonstrated significant positive correlations between internal work motivation and healthcare quality among village clinicians in rural China. According to affect heuristic theory, this relationship presumably arises because individuals rely on emotions to make behavioural decisions, and a positive attitude will lead to higher-quality behaviours.36 Empirical results from other countries support this assumption. A study in the United States demonstrated the importance of internal work motivation in medical behaviour decisions; clinicians with higher internal motivation were more willing to maintain higher quality in their work.17 The findings of studies in developing countries, such as Ghana and Indonesia, also indicated that work motivation can significantly improve the quality of medical services provided by clinicians.19 37 Thus, efforts to stimulate internal work motivation among village clinicians may help to improve their healthcare quality.
 
The results of heterogeneity analysis showed that the positive effect of internal work motivation on healthcare quality varied according to clinician workload and financial incentives. Specifically, internal work motivation had a stronger positive effect on clinical performance among village clinicians who had a lighter workload (fewer patients per month). This is presumably because clinicians with a heavier workload (more patients) are more likely to experience burnout38 and a decreased sense of autonomy,39 40 which could reduce internal motivation and ultimately lead to a decline in work performance.14 39 41 Additionally, compared with village clinicians who did not receive financial incentives, clinicians who received financial incentives experienced a stronger positive effect on healthcare quality because of their internal work motivation. Studies of clinicians, combined with the results of theoretical analyses in other fields (ie, motivational synergy theory and self-decision theory), suggest that the provision of financial incentives encourages a belief of greater competence among clinicians; this belief, in conjunction with internal work motivation, enables clinicians to maintain high quality in their work.13 14 41 42 Previous empirical studies have also demonstrated that performance-related financial incentives can improve internal work motivation among employees, leading to improvements in performance.43
 
The results of these heterogeneity analyses support efforts to enhance the positive effect of internal work motivation on healthcare quality by providing appropriate incentives for clinicians. Consistent with this perspective, the Chinese Government has been implementing incentive programmes during the past decade to improve healthcare quality among primary care clinicians in rural China.10 11 For example, the government is actively restructuring the salary and performance system, while asserting that healthcare systems at all levels should engage in combined efforts to provide additional financial incentives.44
 
To further promote internal work motivation among clinicians and improve their work performance, we recommend the revision of governmental incentives policies, based on existing policies. Specifically, medical institutions at all levels should establish performance accountability45; and emphasis should be placed on including physician performance in assessments to incentivise high-quality healthcare. Furthermore, medical institutions at all levels should provide additional financial incentives to clinicians based on assessments of patient experiences. These programmes could strengthen the positive effect of internal motivation on work performance among clinicians and improve their healthcare quality. Additionally, the workload of primary clinicians should be carefully managed to preserve the positive effect of their intrinsic motivation on job performance.
 
This study had a few limitations. First, it was a cross-sectional study, and the results represent correlations rather than causal relationships. Second, because we randomly selected samples from Sichuan, Shaanxi, and Anhui provinces, our results may not be fully representative of village clinicians and village clinics throughout rural China. Third, the reported level of internal work motivation may have been overestimated because this variable was self-reported by village clinicians.
 
Conclusion
Overall, healthcare quality was poor among village clinicians in rural China. Furthermore, there were positive correlations between internal work motivation and healthcare quality among rural village clinicians; these positive correlations were stronger among clinicians with financial incentives and lighter workload. Our findings suggest that the Chinese Government should implement policies to provide financial incentives for clinicians, with the goal of enhancing internal work motivation among village clinicians and improving their healthcare quality.
 
Author contributions
Concept or design: Q Gao, Y Shi, L Peng.
Acquisition of data: L Peng, S Song, Y Zhang.
Analysis or interpretation of data: L Peng, Q Gao, S Song.
Drafting of the manuscript: L Peng, Q Gao, Y Shi.
Critical revision of the manuscript for important intellectual content: All authors.
 
Conflicts of interest
As an International Editorial Advisory Board member of the journal, Y Shi was not involved in the peer review process. Other authors have disclosed no conflicts of interest.
 
Acknowledgement
All authors thank the standardised patients and investigators for their contribution and hard work.
 
Funding/support
This work received funding from 111 Project (Grant No.: B16031), National Natural Science Foundation of China (Grant No.: 72203134) and Innovation Capability Support Program of Shaanxi, China (Grant No.: 2022KRM007).
 
Ethics approval
Ethical approval was obtained from the Institutional Review Board of Sichuan University, China (Protocol No.: K2015025). The board approved the verbal consent procedure. Participants in this study were informed of the survey procedure and consented to publication.
 
References
1. Babiarz KS, Miller G, Yi H, Zhang L, Rozelle S. China’s new cooperative medical scheme improved finances of township health centers but not the number of patients served. Health Aff (Millwood) 2012;31:1065-74. Crossref
2. Shi Y, Xue H, Wang H, Sylvia S, Medina A, Rozelle S. Measuring the quality of doctors’ health care in rural China: an empirical research using standardized patients [in Chinese]. Stud Labour Econ 2016;4:48-71.
3. Guo W, Sylvia S, Umble K, Chen Y, Zhang X, Yi H. The competence of village clinicians in the diagnosis and treatment of heart disease in rural China: a nationally representative assessment. Lancet Reg Health West Pac 2020;2:100026. Crossref
4. Tan J, Yao Y, Wang Q. Comparative analysis of the development and service utilisation of health resources in Guangxi township hospitals and the whole country [in Chinese]. Soft Sci Health 2019;33:46-50.
5. Sylvia S, Shi Y, Xue H, et al. Survey using incognito standardized patients shows poor quality care in China’s rural clinics. Health Policy Plan 2015;30:322-33. Crossref
6. Li X, Lu J, Hu S, et al. The primary health-care system in China. Lancet 2017;390:2584-94. Crossref
7. Yin X, Song F, Gong Y, et al. A systematic review of antibiotic utilization in China. J Antimicrob Chemother 2013;68:2445-52. Crossref
8. Virtual Health Library. Using indicators to measure country pharmaceutical situations: fact book on WHO level I and level II monitoring indicators. 2006. Available from: https://pesquisa.bvsalud.org/portal/resource/pt/mis-19254. Accessed 30 Sep 2021.
9. Communist Party of China Central Committee, State Council, People’s Republic of China. “Healthy China 2030” Programme [in Chinese]. 2016. Available from: http://www.gov.cn/zhengce/2016-10/25/content_5124174.htm. Accessed 30 Sep 2021.
10. State Council, People’s Republic of China. “Thirteenth Five-Year” Sanitation and Health Plan [in Chinese]. 2017. Available from: http://www.gov.cn/zhengce/content/2017-01/10/content_5158488.htm. Accessed 30 Sep 2021.
11. National Health and Family Planning Commission, National Development and Reform Commission, Ministry of Education of the People’s Republic of China, Ministry of Finance of the People’s Republic of China, National Administration of Traditional Chinese Medicine. National Rural Doctor Education Plan (2011-2020) [in Chinese]. 2013. Available from: http://www.gov.cn/gzdt/2013-10/30/content_2518099.htm. Accessed 20 Jan 2023.
12. State Council, People’s Republic of China. The 15th Meeting of the Standing Committee of the 13th National People’s Congress. Basic Medical Hygiene and Health Promotion Law of the People’s Republic of China [in Chinese]. 2019. Available from: http://www.gov.cn/xinwen/2019-12/29/content_5464861.htm. Accessed 5 Oct 2021.
13. Yuan B, Meng Q. Behaviour determinants of rural health workers: based on work motivation theory analysis [in Chinese]. Chin Health Econ 2012;31:50-2.
14. Kao AC. Driven to care: aligning external motivators with intrinsic motivation. Health Serv Res 2015;50 Suppl 2:2216-22. Crossref
15. Yuan B, Meng Q, Hou Z, Sun X, Song K. Analysis on incentive mechanism and motivation of rural health providers [in Chinese]. Chin J Health Policy 2010;3:3-9.
16. Yuan S, Meng Q, Sun X. Studying on the quality of medical services in township health centres in view of structural quality [in Chinese]. Chin Health Serv Manage 2012;29:841-4.
17. Green EP. Payment systems in the healthcare industry: an experimental study of physician incentives. J Econ Behav Organ 2014;106:367-78. Crossref
18. Mangkunegara AP, Agustine R. Effect of training, motivation and work environment on physicians’ performance. Acad J Interdiscip Stud 2016;5:173-88. Crossref
19. Al Aluf W, Sudarsih S, Musemedi DP, Supriyadi S. Assessing the impact of motivation, job satisfaction, and work environment on the employee performance in healthcare services. Int J Sci Technol Res 2017;6:337-41.
20. Hou X, Lu F. Effects of work values of millennial employees, intrinsic motivation on job performance: the moderating effect of organizational culture. Manage Rev 2018;30:157-68.
21. Li W, Mei J. Intrinsic motivation and employee performance: based on the effects of work engagement as intermediary [in Chinese]. Manage Rev 2013;25:160-7.
22. Liao J, Jing Z, Liu W, Wang X. Promotion opportunity stagnation and job performance: the mediating—role of intrinsic motivation and perceived insider status. Ind Eng Manage 2015;20:15-21.
23. Das J, Holla A, Das V, Mohanan M, Tabak D, Chan B. In urban and rural India, a standardized patient study showed low levels of provider training and huge quality gaps. Health Aff (Millwood) 2012;31:2774-84. Crossref
24. Rethans JJ, Gorter S, Bokken L, Morrison L. Unannounced standardised patients in real practice: a systematic literature review. Med Educ 2007;41:537-49. Crossref
25. Amabile TM, Mueller J. Studying creativity, its processes, and its antecedents: an exploration of the componential theory of creativity. In: Zhou J, Shalley CE, editors. Handbook of Organizational Creativity. New York: Lawrence Erlbaum Associates; 2008: 33-64.
26. Lee KI, Koval JJ. Determination of the best significance level in forward step-wise logistic regression. Commun Stat Simul Comput 1997;2:559-75. Crossref
27. Maneejuk P, Yamaka W. Significance test for linear regression: how to test without P-values? J Appl Stat 2020;31:827-45. Crossref
28. Feise R. Do multiple outcome measures require p-value adjustment? BMC Med Res Methodol 2002;17:1471-2288-2-8. Crossref
29. Feng S. Analysis of the quality of primary care and the influencing factors in rural Guangdong Province—based on demander perspective [in Chinese]. Chin Health Serv Manage 2016;33:824-7.
30. Daniels B, Dolinger A, Bedoya G, et al. Use of standardised patients to assess quality of healthcare in Nairobi, Kenya: a pilot, cross-sectional study with international comparisons. BMJ Glob Health 2017;2:e000333.
31. Settineri S, Merlo EM, Frisone F, et al. The experience of health and suffering in the medical profession. Mediterr J Clin Psychol 2018;6:1-14.
32. Toode K, Routasalo P, Helminen M, Suominen T. Hospital nurses’ individual priorities, internal psychological states and work motivation. Int Nurs Rev 2014;61:361-70. Crossref
33. Tsounis A, Sarafis P, Bamidis PD. Motivation among physicians in Greek public health-care sector. Br J Med Med Res 2014;4:1094-105. Crossref
34. Ferraro T, dos Santos NR, Moreira JM, Pais L. Decent work, work motivation, work engagement and burnout in physicians. Int J Appl Posit Psychol 2020;5:13-35. Crossref
35. Lochner L, Wieser H, Mischo-Kelling M. A qualitative study of the intrinsic motivation of physicians and other health professionals to teach. Int J Med Educ 2012;3:209-15. Crossref
36. Slovic P, Finucane ML, Peters E, MacGregor DG. The affect heuristic. Eur J Oper Res 2007;177:1333-52. Crossref
37. Alhassan RK, Spieker N, van Ostenberg P, Ogink A, Nketiah-Amponsah E, de Wit TF. Association between health worker motivation and healthcare quality efforts in Ghana. Hum Resour Health 2013;11:37. Crossref
38. Ward ZD, Morgan ZJ, Peterson LE. Family physician burnout does not differ with rurality. J Rural Health 2021;37:755-61. Crossref
39. Wang Y, Hu XJ, Wang HH, et al. Follow-up care delivery in community-based hypertension and type 2 diabetes management: a multi-centre, survey study among rural primary care physicians in China. BMC Fam Pract 2021;22:224. Crossref
40. Shirom A, Nirel N, Vinokur AD. Work hours and caseload as predictors of physician burnout: the mediating effects by perceived workload and by autonomy. Appl Psychol 2010;59:539-65. Crossref
41. Deci EL, Ryan RM. Intrinsic Motivation and Self-Determination in Human Behavior. New York: Springer; 1985. Crossref
42. Amabile TM. Motivational synergy: toward new conceptualizations of intrinsic and extrinsic motivation in the workplace. Hum Resour Manage Rev 1993;3:185-201. Crossref
43. Eisenberger R, Aselage J. Incremental effects of reward on experienced performance pressure: positive outcomes for intrinsic interest and creativity. J Organiz Behav 2009;30:95-117. Crossref
44. Qin J, Li S, Lin C. Reform progress and development strategy of incentive mechanism for training and use of general practitioners in China [in Chinese]. Chin Gen Pract 2020;23:2351-8.
45. Li X, Krumholz HM, Yip W, et al. Quality of primary health care in China: challenges and recommendations. Lancet 2020;395:1802-12. Crossref