Skip to main content

Effect of family doctor contract services on patient perceived quality of primary care in southern China

Abstract

Background

Family doctor contract service is an important service item in China’s primary care reform. This research was designed to evaluate the impact of the provision of family doctor contract services on the patient-perceived quality of primary care, and therefore give evidence-based policy suggestions.

Methods

This cross-sectional study of family doctor contract service policy was conducted in three pilot cities in the Pearl River Delta, South China, using a multistage stratified sampling method. The validated Primary Care Assessment Tool-Adult Edition (PCAT-AS) was used to measure the quality of primary care services. PCAT-AS assesses each of the unique characteristics of primary care including first contact, continuity, comprehensiveness, coordination, family-centeredness, community orientation, culture orientation. Data was collected through face-to-face interviews held from July to November, 2015. Covariate analysis and multivariate Linear Regression were adopted to explore the effect of contract on the quality of primary care by controlling for the socio-demographic status and health care service utilization factors.

Results

A total of 828 valid questionnaires were collected. Among the interviewees, 453 patients signed the contract (54.7%) and 375 did not (45.3%). Multivariate linear regression showed that contracted patients reported higher scores in dimensions of PCAT total score (β = − 8.98, P < 0.000), first contact-utilization(β = − 0.71,P < 0.001), first contact-accessibility(β = − 1.49, P < 0.001), continuity (β = 1.27, P < 0.001), coordination (referral) (β = − 1.42, P < 0.001), comprehensiveness (utilization) (β = − 1.70, P < 0.001), comprehensiveness (provision) (β = − 0.99, P < 0.001),family-centeredness(β = − 0.52, P < 0.01), community orientation(β = − 1.78, P < 0.001), than un- contracted after controlling socio-demographic and service utilization factors. There were no statistically significant differences in the dimensions of coordination (information system) (β = − 0.25, P = 0.137) and culture orientation (β = − 0.264, P = 0.056) between the two both groups.

Conclusions

This study demonstrates that the pilot implementation of family doctor contract services has significantly improved patients’ perceived primary care quality in the pilot cities, and could help solve the quality problem of primary care. It needs further promotion across the province.

Peer Review reports

Background

It has been proven worldwide that a strong primary care delivery system is the foundation and guarantee of an efficient health care system, and an increasing number of countries are taking measures to strengthen their primary care capacity [1, 2]. The leading five developing countries, BRICS countries, have all considered primary care as the foundational basis to achieve “Health for All” [3]. China’s health care system reform of 2009 has given more attention and resources to the primary care system [4, 5]. There are three levels of medical organizations providing health care in China: primary care facilities, secondary and tertiary hospitals. The primary health facilities refer to community health centers (CHC) and community health stations (CHS) in urban areas, as well as township hospitals and village clinics in rural areas. The primary care facilities are grassroots institutions providing both medical services and public health services to community residents [6]. A basic public health services program for all was implemented in 2011. The policy was that all primary care institutions should provide a free basic public health services package for all residents including establishing health records, physician examination for elder, elderly care, chronic disease follow-ups, and more [7]. However, as the service items were provided by specific provider teams, service provision was inconsistent and information was stored separately in segmented sectors. For example, after nurses had collected information from chronic condition follow-ups, there was no channel for them to transfer the information to clinical physicians. Clinical physicians could neither access health records, nor use the information to support clinical diagnosis. The separation of medical services and basic public health services hindered the quality of primary care and slowed its development. Some studies pointed out that the fragmented delivery of basic public health services has become a bottleneck in the improvement of quality of primary care in China [6, 8].

Evidence from many countries shows that the contract between physician and patient could improve the quality of primary care, and patients who have their usual source of care from their primary care doctors benefit most in health outcomes [9, 10]. Pilot trials implementing family doctor contract services were established in some regions in China in 2013 [11]. This trial was determined to integrate the provision of basic medical services and basic public health services in primary care institutions, and provide patient-centered care to residents. Under the contracted service model, residents could choose to contract with the preferred general physician team that is usually composed with general physicians, nurses, public health doctors. The contracts generally last for 1 year, and the residents can change the contracted doctors if they are not satisfied with the service for the next year [12]. The teams provide freely services package included: to create and manage individual health records, to treat common diseases, to give annual health examinations, and conduct proactive life intervention measures to prevent and manage chronic conditions, follow-ups, and referrals. However, treatment of common diseases was not free. The contracted residents were encouraged to establish stable connection with their GP and visit their GP when they have health problems, but patients still reserved freedom of choosing preferred medical facilities. The contracted GP teams receive reimbursements by capitation from public health funds, social insurance pool and government directions.

The provision of family doctor contract services should improve community members’ disease prevention, treatment and management. The contract between physician and patient is intended to strengthen the connection and communication between the physician teams and patients and their families, transform the former primary health center-based service relation into a real patient-centered service model, and establish stable physician-patient relationships. The contracted family doctor team, compared with the whole clinic, is seen as a more independent, flexible and loyal unit that could provide more accessible, continuous, coordinated and comprehensive services to their contracted patients. Starfield and Shi thought that the basic functions of primary care -accessibility, comprehensiveness, continuity, and coordination, affect each other and work together, and their synergies form a mechanism for promoting health at the primary level [13]. Accordingly, international society has achieved consensus to evaluate the quality of primary care from the level of realization of primary care functions [14,15,16].

The pilot trials were initiated in areas where the primary care system was solid and stable. Guangdong province was chosen, with pilot settings of family doctor contract services in the Pearl River Delta, China’s most developed delta, in cities that ranked first in providing qualified primary care services. The services were contracted and provided by physician teams working in primary care facilities. The physician teams were encouraged to develop the best service delivery that adapts to local circumstances.

A number of research projects have been carried out to evaluate the effect of family doctor-patient contract, but most of them have focused on the comparison of contracted and un-contracted patients on, for example, the effects of self-management, or the corresponding patient satisfaction and treatment compliance [17,18,19]. There has been little research that has explored the family doctor contract services on the overall quality of primary care [13]. This study evaluates the impact of the provision of family doctor contract services on the patient-perceived quality of primary care in terms of accessibility, comprehensiveness, continuity, coordination, to provide evidence to support the policy improvement of the contracted service.

Methods

Study design and sample

This cross-sectional study was conducted in the Pearl River Delta, Guangdong Province, China from July to November 2015. A multi-stage sampling method was used to choose samples. In the first stage, three cities were randomly chosen to perform the investigation from six pilot study sites that conducted family doctor contract services in the Pearl River Delta: Guangzhou City, Huizhou City and Jiangmen City. In the second stage, four CHCs were randomly chosen from each city’s urban districts. Two township hospitals were randomly chosen from each city’s rural areas, and then two village clinics were randomly chosen from each township hospital’s management areas. Since Guangzhou is the only metropolitan area among the three study sites, eight CHCs, four township hospitals and eight village clinics (VCs) were chosen to keep the sampling rational. In total, 16 CHCs and 16 VCs were chosen to conduct the investigation. In the third stage, 30 study participants from sample CHC and VC were selected. Nine hundred sixty patients took part in the investigation, and 828 valid questionnaires were collected. The inclusion criteria were as follows: (1) study participants should be local residents who were over 18; (2) study participants must sign a consent form and be able to understand the content of the questionnaire; (3) study participants must have visited the study sites at least once in the past year. Ethical approval was obtained from the Ethics Committees of Guangzhou Medical University.

This sample size was determined based on findings from existing published literature. Current research shows that a minimum sample size for such an analysis is 800, with a 99% confidence interval and a power of 80%. A minimum sample size of 300 for each setting was considered necessary to conduct the comparative analysis [20,21,22,23]. In this study, the sample size was 828, and the sample size for each group was above 375, which was regarded adequate to provide good statistical power.

Data collection

We recruited 14 graduate students and undergraduate from the School of Health Management of Guangzhou Medical University as investigators, who were good at Cantonese and Mandarin. The investigators were trained on the survey skills, including how to explain the purpose of the study and items of the questionnaire to the study subjects, in order to guarantee completeness and consistency of the survey.

The survey was conducted at community health centers (CHC) or village clinics (VC). We investigated the eligible patients who visited the facilities, and the survey ended when there were 30 patients. Since the respondents were mostly older people with low education, face-to-face interview was adopted. The investigator explained the purpose of the study and asked questions one by one. Then filled in the questionnaire based on the answers, and a small gift was given as a token of appreciation for the participation.

Measures

The questionnaire had three parts -socio-demographic information, state of contract and service utilization, as well as the Adult Short Primary Care Assessment Tool (PCAT-AS).

Due to the current trend of measuring the functions of primary care by using patients’ perceptions of quality, this research adopted the internationally reputed assessment tool PCAT-AS as the major part of the questionnaire. PCAT was designed and developed by Dr. Barbara Starfield and Dr. Leiyu Shi in Johns Hopkins University, and has been used in a number of studies in different countries [24,25,26,27,28]. We received consent from JHU to use and adapt the questionnaire. The adapted Chinese version of the PCAT-AS questionnaire has been proven valid and reliable in previous studies [22, 29]. In this study, the reliability and validity of the scale were tested. The results showed that Cronbach’s α was 0.891 and KMO was 0.879(Bartlett = 957.483, P = 0.000), the scale has good reliability and validity. The PCAT-AS measures four core functions of primary care, namely, first-contact (accessibility and utilization), continuity, coordination (information-system and referral, coordination), comprehensiveness (utilization and provision), and three expand functions of primary care, namely, family-centeredness, community-orientation and culture-orientation. Since 3 out of 4 core functions contain two sub-dimensions, a total of 10 dimensions are included here. The four-point Likers scale was adopted, with one point representing ‘definitely not’ four points ‘definitely yes’, and nine points ‘not sure’. Higher scores indicate better patient perception of primary care quality [30].

We used the question “Have you signed a contract with a physician /physician team in CHCs or VCs?” to define the state of contract. ‘Yes’ would be the contracted and ‘no’ would be un-contracted. The questionnaire also included socio-economic information like age, sex, marriage, education, monthly income, and use of health service information like self-assessed health status, satisfaction with services and primary care institutions, chronic conditions, and the percentage of medical care expenditures to total consumption.

Statistical analysis

The questionnaires were double checked immediately after the interviews. Data documentation was done with Epidata 3.1 by two independent students and a cross-check was made after data input. Software 18.0 was used to perform the analysis.

Chi-square tests were conducted to compare the socio-demographic characteristics and health care utilization of participants between the group of contracted service patients and group of un-contracted service patients. Covariate analysis was adopted to compare the PCAT scores of the two groups. Then we compared the adjusted PCAT scores by analysis of covariance between the two groups. Lastly, multivariate linear regression was done to explore the effect of contract on the quality of primary care by controlling for the other influencing factors. In this analysis, the multivariate linear regression was performed by using each dimension as well as PACT total scores as dependent variables, the reception of contract services as independent variable, and the socio-demographic (sex, age, education, marital status, family income) and service utilization factors (self-evaluated physical health, patients’ satisfaction, proportion of medical expenditure to total family expenditure, chronic conditions) as control variables. Stepwise regression was used with P < 0.05 as inclusion criteria, and P > 0.10 as exclusion criteria. Multivariate linear regression analysis requires a sample size of more than 20times the number of independent variables. In this study, the number of independent variables in the multiple linear regression analysis is 10 variables, and the sample size is 828 greater than 200. A p-value< 0.05 was considered statistically significant in the analysis.

Results

A total of 960 patients were approached for study inclusion, 828patients responded to the questionnaire, and 132 patients did not complete investigation. This response rate was 86.25%. The most common reason for un-response was having no time. Since the questionnaire was collected through face-to-face interviews, the completed questionnaire had almost no missing values. The average age was 61.9. Over 60% of patients were over 60. Of the interviewees, 453 patients had signed the contract (54.7%) and 375 did not (45.3%). There were no significant differences in terms of gender, marital status, self-evaluated physical health and chronic conditions between the two groups (p > 0.05). However, significant differences were reported in the dimensions of age, education, family monthly income, patient satisfaction, and proportion of medical expenditure to total family expenditure (p < 0.05) (Table 1).

Table 1 The socio-demographic states and health care service utilization between the contracted and un-contracted patients

Since continuity referral was limited to patients who had been referred to large hospitals, only 45.2% patients who were qualified to answer within this dimension. To avoid possible bias, the calculation of PCAT total score excluded this continuity (referral) dimension. The average of PCAT score was 27.68. Covariate analysis was adopted to compare the two gro-up of patients’ perceived feeling of the quality of each dimension as well as the PCAT score controlling for the socio-demographic and service utilization factors. The adjusted score of each PCAT dimension were calculated, and P value was offered to show the difference between groups, after controlling for gender, age, marital status, education, family monthly income, self-evaluated physical health, patient satisfaction, proportion of medical expenditure to total family expenditure, and chronic conditions. The patients who received family doctor contract services reported higher scores than those that did not, in the dimensions of total PACT score (28.79 vs26.43;p < 0.001),first contact- utilization (3.40vs3.17; p < 0.001), first contact accessibility (3.00vs2.63;p < 0.001),continuity (3.03 vs2.71; p < 0.001), coordination (referral) (3.17vs2.82,p0.001), comprehensiveness (service utilization)(3.40vs3.06;p < 0.001), and comprehensiveness (service provision)(3.50vs 3.25;p < 0.001);family-centeredness (2.87vs2.69;p < 0.01), community orientation (2.99vs2.40;p < 0.001), No significant difference was found in coordination (information system) and culture orientation between the two groups of patients (Table 2).

Table 2 Primary care quality scores between contracted and un-contracted patients, adjusted

Further analyses were made to explore the effect of the contract on the quality of primary care by controlling for the other influencing factors. The multivariate liner regression results showed that the patients who received contract services reported higher PCAT total scores (β = − 8.98, P < 0.000),first contact-utilization(β = − 0.71, P < 0.001), first contact-accessibility(β = − 1.49, P < 0.001), continuity(β = 1.27, P < 0.001), coordination (referral) (β = − 1.42, < 0.001), comprehensiveness (utilization) (β = − 1.70, P < 0.001), comprehensiveness (provision) (β = − 0.99, P < 0.001),family-centeredness(β = − 0.52, P < 0.01),community orientation(β = − 1.78, P < 0.001), than those who did not receive contract services after controlling for socio-demographic and service utilization factors. There were no statistically significant differences in the coordination (information system) (β = − 0.25, P = 0.137) and culture orientation (β = − 0.264, P = 0.056). (Table 3). In addition, factors significantly associated with higher PCAT total scores included patient satisfaction and chronic conditions. Patients satisfied with primary care institutions and those with chronic conditions tended to report better primary care experiences.

Table 3 Multivariate liner regression of the PACT scores

Discussion

This research has explored the association between family doctor contract services and patient perception of primary care quality using an internationally developed tool in China. The results have shown that the physician/patient contracted service delivery model could significantly improve the perceived quality of primary care after controlling socio-demographic and service utilization factors.

A research made in the East European countries has showed that the barrier lays in the primary care system in the East European countries is the lack of cooperation among medical disciplines and sectors [31]. Yuan et al. finds that the quality of primary care is influenced by the hampered cooperation among the basic clinical and public health departments in China [6]. It is important that public health services and primary care services offered by the same team, to improve the quality of primary care and chronic condition management by improving the continuity of care [6]. This physician-patient contract policy promoted to reorganize the current fragmented medical care and basic public health service delivery system in primary care facilities, and improve the quality of primary care. It results in substantial changes in patients’ perceptions of primary care quality. A previous study conducted in Montenegro has shown that the primary care reform in Montenegro had been proven significant improvement in primary care use and patients’ satisfaction. The reform included patient’s compulsory contraction with GP, GP’s obligation of offering medical and public health services, as well as the support to establish GP team [32].

This study has shown that patients that received family doctor contract service reported higher scores than those that did not receive the service, in the dimensions of first contact and continuity. Continuity care refers to the longitudinal use of a regular source of care over time [30]. A previous study has shown that the contracted residents reported a higher rate of choosing primary care institution as the first contact compared with the un-contracted residents [17]. For the contracted physicians the contract enhanced their sense of responsibility to the contracted patients and improved doctor-patient communication. This behavior change in physicians could restore mutual trust, improve patient loyalty and establish long-term relationship [33, 34]. Linni Gu’s research has shown that the contracted can improve the communication between physicians and patients, which would contribute to the mutual trust [35]. This indicates that the physician-patient relationship is strengthened by the service contract. In addition, the contract service could improve continuity through offer better integration of basic public health and medical services in primary care institutions. A study conducted in Quebec, Canada has shown that the primary care reform which aimed to promote interdisciplinary collaborative practices improved patient’s experience in continuity of care [36]. Therefore, more patients would use the contracted physician’s office as the usual source of care, so the scores of first contact and continuity dimensions would improve as a consequence [32]. The ongoing doctor-patient relationship is the core spirit of primary care [32, 37]. Through knowing patients’ medical history and health status, doctors could offer patients personalized care and could diagnose diseases in the early stages. Patients could show better compliance and efficacy.

The high score of contracted patients in the coordination (referral) could be explained by the contract items required the contracted primary care institutions to provide referral services to contracted patients, which improved referral services. This study has shown that the patients who received family doctor contract service reported higher scores than those did not receive the service, in dimensions of comprehensiveness. Comprehensive care refers to the availability of a wide range of health services in primary care and their appropriate provision across the entire spectrum of types of health needs [30]. The contract service list also covers basic public health care services and medical services, which has ended the history of fragmented public service delivery system and provided a comprehensive service package, including the establishment of individual health records, common disease treatment, chronic condition follow-up, and so on. This integration can improve the treatment effect by improving patient’s compliance [29]. These service items are offered to patients by contracted physicians and their team members, so that mutual connections were strengthened and it were helpful to improve the patients’ perceptions of comprehensiveness care.. Therefore; the contracted patients reported higher score in the dimension of comprehensiveness. With the increasing epidemic of chronic conditions, primary care should take the responsibility of offering more comprehensive services [31]. The most effective way to attain this goal is to expand the contraction between residents and GP teams.

In addition, this study demonstrates that contracted patients are more likely than un-contracted patients to rate their primary care as good in dimensions of family-centeredness and community orientation. With the advance of interpersonal communication and stable relationship, the contracted physicians could learn more about patients’ family conditions, community characteristics, and consider these factors when treating patients. As a result, the contract patients’ evaluation of the dimensions of family centered-ness, community orientation, was higher than the un-contracted patients.

Analysis of the scores of each dimension showed that patients did not report differences in the dimensions of coordination (information system) and culture orientation. Coordination (information system) means the capacity of connecting all sides of information service provision participants as well as the service process [34]. Regardless of the contracted or un-contracted residents, the information is recorded and transferred in the same way, so there is no difference between the both groups in terms of coordination (information). The culture dimension refers to the respect to patients’ religion, values or specific behaviors that may influence health outcomes. Contract patients could have a different perception of cultural respect due to their stronger relationship with health providers. Maybe the difference will be more obvious after a long time.

This research had some limitations. First, this research explored the functional adequacy offered to contracted residents under the primary care functional theory; however, it may neglect the description of the objective quality improvement brought by contract services. Subjective indicators will be adopted as well in the further study. Secondly, there might be bias caused by local residents who refused to be interviewed the most common reason for un-response was having no time, and this study did not collect information of residents who refused to take the interview. However, the face-to-face interview increased the response rate to 86.25%, which might be higher than collecting data by mail, phone interview or self-response and could correct the bias to some extent. Future studies we should compare participants’ characteristics with those of patients who did not participant. Thirdly, this is a cross-sectional survey which may not have explored causal relationship from these findings.

Conclusions

In conclusion, the implementation of family doctor contract service has generally improved primary care quality, which is worth further promotion provincially or even nationally. This is a cross-sectional study, but longitudinal research should be made accordingly to improve the accuracy of the evaluation and explore the influencing mechanism.

Availability of data and materials

The datasets used and analyzed during the current study available from the author on reasonable request (send email to: fengshsh@126.com).

Abbreviations

PCAT-AS:

Primary Care Assessment Tool-Adult Edition

PCAT:

Primary Care Assessment Tool

CHCs:

Community Health Centers

VCs:

Village clinics

References

  1. 1.

    Starfield B, Shi L. Commentary: primary care and health outcomes: a health services research challenge. Health Serv Res. 2007;42:2252–6. https://doi.org/10.1111/j.1475-6773.2007.00739.x.

    Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Kreindler SA, Metge C, Struthers A, et al. Primary care reform in Manitokba, Canada,2011–15: Balancing accountability and acceptability. Health Policy. 2019;123(6):532–7. https://doi.org/10.1016/j.healthpol.2019.03.014.

    Article  PubMed  Google Scholar 

  3. 3.

    Marten R, Mcintyre D, Travassos C, et al. An assessment of progress towards universal health coverage in Brazil, Russia, India, China, and south Afirca (BRICS). Lancet. 2014;384:2164–71. https://doi.org/10.1016/S0140-6736(14)60075-1.

    Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Hung LM, Rane S, Tsai J, et al. Advancing primary care to promote equitable health: implications for China. Int J Equity Health. 2012;11(1):1–5.

    Article  Google Scholar 

  5. 5.

    Chen Z. Launch of the health-care reform plan in China. Lancet. 2009;373(9672):1322–4. https://doi.org/10.1016/S0140-6736(09)60753-4.

    Article  PubMed  Google Scholar 

  6. 6.

    Yuan B, Balabanova D, Gao J, et al. Strengthening public health services to achieve universal health coverage in China. BMJ. 2019;365:12358. https://doi.org/10.1136/bmj.12358.

    Article  Google Scholar 

  7. 7.

    National Health Commission of the People’s Republic of China. Opinions on promoting the gradual equalization of basic public health services 2009. http://www.nhc.gov.cn/wjw/zcjd/201304/10486953607c4a699d7c7e98bf6e5547.shtml. 14 July 2009.

    Google Scholar 

  8. 8.

    Meng Q, Mills A, Wang L, Han Q. What can we learn from China’s health reforms? BMJ. 2019;365:12349. https://doi.org/10.1136/bmj.12349.

    Article  Google Scholar 

  9. 9.

    Hespe C, Rychetnik L, Peiris D, Harris M. Informing implementation of quality improvement in Australian primary care. BMC Health Serv Res. 2018;18(1):287. https://doi.org/10.1186/s12913-018-3099-5.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Li L, Zhong C, Mei J, et al. Effect of family practice contract services on the quality of primary care in Guangzhou, China: a cross-sectional study using PCAT-AE. BMJ Open. 2018;8:e021317. https://doi.org/10.1136/bmjopen-2017-021317.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Zhang Y, Zhang T, Wang Z, et al. Status of signing on family doctor Service for Residents in Desheng area of Beijing and its influencing factors. Chin Gen Pract. 2013;16(11A):3715–8.

    Google Scholar 

  12. 12.

    Zhao Y, Lin J, Qiu Y, et al. Demand and signing of General Practitioner Contract Service among the Urban Elderly: A population-based analysis in Zhejiang Province, China. Int J Environ Res Public Health. 2017;14(4):356. https://doi.org/10.3390/ijerph14040356.

    Article  PubMed Central  Google Scholar 

  13. 13.

    Starfield B, Shi L, Macinko J. Contribution of primary care to health systems and health. Milbank Q. 2005;83(3):457–502. https://doi.org/10.1111/j.1468-0009.2005.00409.x.

    Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Rao M, Clarke A, Sanderson C, et al. Patients' own assessments of quality of primary care compared with objective records-based measures of technical quality of care: cross sectional study. BMJ. 2006;333(7557):19–22. https://doi.org/10.1136/bmj.38874.499167.7C.

    Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Haggerty JL, Burge Frederick, Beaulieu M-D, Pineault R, Beaulieu C, Levesque J-F, et al. Validation of instruments to evaluate primary healthcare from the patient perspective: overview of the method. Healthc Policy. 2011;7(Spec Issue):31–46.

    PubMed  PubMed Central  Google Scholar 

  16. 16.

    Malouin RA, Starfield B, Sepulveda MJ. Evaluating the tools used to assess the medical home. Manag Care. 2009;18(6):44–8.

    PubMed  Google Scholar 

  17. 17.

    Yin D, Zhang J, Wang Z, et al. Delivery status of contractual services from family doctors in China and advances in the related studies. Chin Gen Pract. 2018;21(7):753–8.

    Google Scholar 

  18. 18.

    Huang J, Zhang T, Wang L, Guo D, Liu S, Lu W, et al. The effect of family doctor-contracted services on noncommunicable disease self-management in Shanghai, China. Int J Health Plann Manag. 2019;34(3):935–46. https://doi.org/10.1002/hpm.2865.

    Article  Google Scholar 

  19. 19.

    Zhao Y, Lin J, Lin Q, Yinwei Y, Qing W, Xingyi S, Xiaopeng X, et al. Demand and signing of General Practitioner Contract Services among the Urban Elderly: A Population-Based Analysis in Zhejiang Province, China. Int J Environ Res Public Health. 2017;14(4). https://doi.org/10.3390/ijerph14040356.

  20. 20.

    Shi L, Starfield B, Xu J, Politzer R, Regan J. Primary care quality: community health center and health maintenance organization. South Med J. 2003;96(8):787–95. https://doi.org/10.1097/01.SMJ.0000066811.53167.2E.

    Article  PubMed  Google Scholar 

  21. 21.

    Wang HH, Wong SY, Wong MC, Wei XL, Wang JJ, Li DK, et al. Patients' experiences in different models of community health centers in southern China. Ann Fam Med. 2013;11(6):517–26. https://doi.org/10.1370/afm.1545.

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Shi L, Starfield B, Xu JH. Validating the adult primary care assessment tool. J Fam Pract. 2001;50(2):161–74w.

    Google Scholar 

  23. 23.

    Hu R, Liao Y, Du Z, et al. Types of health care facilities and the quality of primary care: a study of characteristics and experiences of Chinese patients in Guangdong Province, China. BMC Health Serv Res. 2016;16:335. https://doi.org/10.1186/s12913-016-1604-2.

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Harzheim E, Pinto LF, D’Avila OP, et al. Brazilian National Institute of Geography and Statistics (IBGE) in partnership with Brazilian Ministry of Health launch the major national household survey using Primary Care Assessment Tool (PCAT) in the world. J Fam Med Prim Care. 2019;8:4042–3. https://doi.org/10.4103/jfmpc_804_19.

    Article  Google Scholar 

  25. 25.

    Mayobruinsma L, Hogg W, Taljaard M, et al. Family-centred care delivery: comparing models of primary care service delivery in Ontario. Can Fam Physician. 2013;59(11):1202–10. https://doi.org/10.7196/SAMJ.7484.

    Article  Google Scholar 

  26. 26.

    D'Avila OP, Pinto LF, Hauser L, et al. The use of the Primary Care Assessment Tool (PCAT): an integrative review and proposed update. Cie Saude Colet. 2017;22(3):855–65. https://doi.org/10.1590/1413-81232017223.03312016.

    Article  Google Scholar 

  27. 27.

    Wong SY, Kung K, Griffiths SM, Carthy T, Wong MC, Lo SV, Chung VC, Goggins WB, Starfield B. Comparison of primary care experiences among adults in general outpatient clinics and private general practice clinics in Hong Kong. BMC Public Health. 2010;10:397. https://doi.org/10.1186/1471-2458-10-397.

    Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Lee JH, Choi YJ, Lee SH, Sung NJ, Kim SY, Hong JY. Association of the length of doctor-patient relationship with primary care quality in seven family practices in Korea. J Korean Med Sci. 2013;28(4):508–15. https://doi.org/10.3346/jkms.2013.28.4.508.

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Yang H, Shi L, Lebrun LA, Zhou X, Liu J, Wang H. Development of the Chinese primary care assessment tool: data quality and measurement properties. Int J Qual Health Care. 2013;25(1):92–105. https://doi.org/10.1093/intqhc/mzs072.

    Article  PubMed  Google Scholar 

  30. 30.

    Starfield B, Shi L. Manaual for the primary care assessment tools. Baltimore: John Hopkins University Press; 2009.

    Google Scholar 

  31. 31.

    Semánová C, Rurik SE, Dózsa C, et al. Primary care behind the former “Iron curtain”: changes and development of primary healthcare provision in the eastern part of the European Union. Prim Health Care Res Develop. 2019;20(e121):1–9. https://doi.org/10.1017/S1463423619000410.

    Article  Google Scholar 

  32. 32.

    Cvejanov-Kezunović L, Drecun M, Švab I. Primary care reform in Montenegro. Slovenian J Public Health. 2013;52:247–54. https://doi.org/10.2478/sjph-2013-0025.

    Article  Google Scholar 

  33. 33.

    Wang H, Shi L, Han X, et al. Factors associated with contracted services of Chinese family doctors from the perspective of medical staff and consumers: a cross-sectional study. BMC Health Serv Res. 2019;19:986. https://doi.org/10.1186/s12913-019-4801-y.

    Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    World Health Organization. The world health report 2008: primary health care now more than ever. Geneva: World Health Organization Press; 2008. http://www.who.int/whr/2008/en/index.html.

    Google Scholar 

  35. 35.

    Tourigny A, Aubin M, Haggerty J, et al. Patients’ perceptions of the quality of care after primary care reform. Can Fam Physician. 2010;56:e273–82.

    PubMed  PubMed Central  Google Scholar 

  36. 36.

    Linni Gu, Jianjun Deng, Huiwen Xu et al The impact of contract service policy and doctor communication skills on rural patient-doctor trust relationship in the village clinics of three counties BMC Health Serv Res 2019;19:187. https://doi.org/https://doi.org/10.1186/s12913-019-3875-x.

  37. 37.

    Starfield B. Primary care: balancing health needs, services and technology. New York Oxford: Oxford University Press; 1998.

    Google Scholar 

Download references

Acknowledgments

We are very grateful to the excellent work of the student assistants from Guangzhou Medical University who helped ensure the high quality of investigation. We would like to thank the institutions and its staff and patients who participated in our survey.

Funding

This study was funded by the Guangdong Medical Research Foundation (Grant No. C2015033). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Affiliations

Authors

Contributions

Conceived and designed the experiments: SSF, AYC, Performed the experiments: SSF, AYC, ZNL, YX, Analyzed the data: SSF, Wrote the article: SSF, LWZ. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Shanshan Feng.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committees of the Guangzhou Medical University (IORG No: IORG20150416). In this face-to-face survey study, all study participants were informed of the purpose of the study and had the right to leave the interview at any time. All study participants were required to give written informed consent before the interview.

Consent for publication

Not applicable.

Competing interests

The authors have declared that no competing interests exist.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Feng, S., Cheng, A., Luo, Z. et al. Effect of family doctor contract services on patient perceived quality of primary care in southern China. BMC Fam Pract 21, 218 (2020). https://doi.org/10.1186/s12875-020-01287-7

Download citation

Keywords

  • Primary care
  • Family doctor contract services
  • Quality
  • Primary care assessment tool (PCAT)