- Research article
- Open Access
Effect of trust in primary care physicians on patient satisfaction: a cross-sectional study among patients with hypertension in rural China
BMC Family Practice volume 21, Article number: 196 (2020)
In rural areas of China, hypertension is on the rise and it is drawing the Chinese government’s attention. The health outcomes of hypertension management can be positively impacted by patient satisfaction with primary care physicians (PCPs), and the influence of patient trust on satisfaction cannot be ignored. This study aimed to analyze the effect of trust in PCPs on patient satisfaction among patients with hypertension in rural China, and the influence of patients’ socio-demographic characteristics and hypertension-management-related factors.
A multi-stage stratified random sampling method was adopted to investigate 2665 patients with hypertension in rural China. Patient trust and satisfaction were measured using the Chinese version of the Wake Forest Physician Trust Scale and the European Task Force on Patient Evaluation of General Practice. Multiple linear regression was used to analyze the factors influencing patient satisfaction, and structural equation modeling was conducted to clarify the relationships among patient trust and patient satisfaction with PCPs.
Patients’ trust in their PCPs’ benevolence had a positive main effect on all three satisfaction dimensions (clinical behavior: β = 0.940, p < 0.01; continuity and cooperation: β = 0.910, p < 0.01; and organization of care: β = 0.879, p < 0.01). Patients’ trust in their PCPs’ technical competence had a small negative effect on all three satisfaction dimensions (clinical behavior: β = − 0.077, p < 0.01; continuity and cooperation: β = − 0.136, p < 0.01; and organization of care: β = − 0.064, p < 0.01). Patient satisfaction was also associated with region, gender, insurance status, distance from the nearest medical/health-service institution, and number of visits to PCPs in the past year.
Patients focused more on physicians’ benevolence than on their technical competence. Hence, medical humanities and communication skills education should be emphasized for PCPs. Regarding region-based and health-insurance-based differences, the inequities between eastern, central, and western provinces, as well as between urban and rural areas, must also be addressed.
Hypertension is a common chronic disease and is the most important risk factor for cardiovascular and kidney disease . Worldwide, over one in five adults have high blood pressure (of whom 52% have uncontrolled blood pressure), and there are 9.4 million deaths from hypertension complications annually . In 2018, there were over 200 million people with hypertension in China, and this figure is rising at a rate of 10 million people per year . The number of adults from rural areas in China presenting with hypertension has increased rapidly: the prevalence rate was 18.94% from 2004 to 2006, 21.24% from 2007 to 2009, and 26.68% from 2010 to 2013 .
Since 2009, China has considered the health management of patients with hypertension to be a “national basic public health services project”; a basic public health service for key populations (e.g., older adults, women, and children), focusing on key diseases (e.g., chronic or infectious diseases) and meeting residents’ basic health needs. The National Basic Public Health Service Project Regulations (2011) stipulate that primary-level medical and health institutions should provide community health management for hypertension patients. The rural health-service system services 800 million Chinese rural dwellers and directly affects the health status and service utilization of the rural population . The health administration’s “Guidelines for the Management of Hypertension in China” also propose emphasizing hypertension prevention and management in rural areas . Long-term adherence to lifestyle improvement is the cornerstone of associated treatment approaches, and rational use of antihypertensive drugs is key to achieving normal blood pressure . Nonadherence to treatment can be due to the patient’s lack of knowledge about the provider’s decision-making process and low physician credibility . To ensure the effectiveness of this treatment, establishing an enduring and harmonious relationship marked by mutual understanding between doctors and patients is essential . Indeed, trust is the foundation of the doctor-patient relationship, and given that patient satisfaction is an indicator of health service quality, high levels of trust and patient satisfaction indicate a good relationship between patients and service providers . However, studies have shown that primary-level institutions in the rural health-service system – in which township health centers or community health-service centers represent primary hubs, and village clinics or community health-service stations represent the lowest level – have weak service capabilities and low resident satisfaction . Importantly, this is not conducive to effective long-term follow-up management of rural patients with hypertension and has a negative impact on the prevention and treatment of hypertension.
Patient satisfaction refers to people’s assessment of the health-care services that they receive, and is based on their requirements regarding health, disease, quality of life, etc. . As a patient-reported outcome and a major component of health-care quality, patient satisfaction can impact therapeutic outcomes . For patients with hypertension, treatment satisfaction may provide insight into attitudes toward hypertension treatment . Such satisfaction is associated with higher adherence to antihypertensive drugs and improved health-related quality of life .
Several studies have investigated the factors that influence patient satisfaction regarding primary health-care services and have shown that regular visits to a particular general practitioner (GP), distance from a primary health-care center, age, gender, socioeconomic status, and health status are associated with patient satisfaction [14, 15]. Along with these objective factors concerning patients’ sociodemographic characteristics and health status, patient satisfaction is also heavily influenced by patients’ subjective perceptions and interpersonal relationships . Notably, patient trust is the foundation of the doctor-patient relationship and leads to perceiving doctors as reliable, acting in the patient’s best interests, and providing support and assistance regarding the patient’s health problems . Patient trust has been shown to be an important factor in fostering satisfaction [2, 18,19,20].
However, existing China-based research regarding the factors affecting patient satisfaction has mostly focused on urban areas, with little attention to physicians in rural primary health-care institutions. The few studies in this latter category have been limited to specific geographic areas [21,22,23,24]. Although researchers largely acknowledge that trust impacts satisfaction, some studies have only performed this analysis from a qualitative viewpoint, while others have used unsuitable or limited questionnaires [25,26,27,28]. Univariate and regression analyses have been commonly used for analysis [2, 29,30,31,32]. Given that social science research cannot directly measure trust and satisfaction, measurement error is inevitable . To address this, recent studies have applied structural equation modeling (SEM) when evaluating patient trust and satisfaction [18, 34]. However, few studies have analyzed the relationship between trust and satisfaction from the perspective of refining their internal dimensions. Thus, in our study, different dimensions of the two variables were scientifically divided according to literature research based on the mature scales, and the influence among them was explored by using the structural equation model.
In the present study, the Chinese version of the Wake Forest Trust Scale (WFPTS-C) was used to measure trust among rural-based patients with hypertension. This scale was developed by Hall and has been used in several countries to examine trust in primary care providers, including physicians, comprised of 4 dimensions: fidelity, competence, honesty and global [29, 30]. The Chinese version has previously been shown to have beneficial psychological attributes among patients by Dong and Bao . And a two-dimensional model (comprising “benevolence” and “technical competence”) has been verified as a better fit to the data among Chinese patients than Hall’s four-dimensional model or Bachinger’s one-dimensional model [17, 36, 37].
To measure satisfaction, we used the European Satisfaction Survey Scale (EUROPEP), which is a comprehensive tool representative of international standards that measures service satisfaction and was developed through a rigorous design process . The EUROPEP does not evaluate a specific visit or doctor, but rather, patients’ satisfaction with doctors regarding services provided “over the last 12 months” . As this scale measures continuity-related aspects (i.e., repeated visits over 12 months), it captures patients’ satisfaction with the normative management requirements for hypertension, meaning it can be applied to primary-health-care institutions. Generally, EUROPEP scores reflect two dimensions: clinical behavior (items 1 to 16) and organizational mechanisms (items 17 to 23) [39, 40]. Of these, the former items can be divided into “relation and communication,” “medical care,” and “information and support,” and the latter items into “continuity and cooperation” and “organization of care” .
We hypothesize that among rural-based patients with hypertension, trust in primary care physicians (PCPs) will have a positive impact on satisfaction. For the internal dimensions, we hypothesize that trust in PCPs’ benevolence will have positive impacts on all three dimensions of patient satisfaction (clinical behavior, continuity and cooperation, organization of care; H1-H3), and patients’ trust in PCPs’ technical competence will also have positive effects (H4-H6). The framework for our theoretical relationships is shown in Fig. 1. Furthermore, we explore the influence of patients’ socio-demographic characteristics and hypertension-management-related factors on satisfaction, aiming to identify the means to promote patient satisfaction and to improve the doctor-patient relationship and the rate of hypertension control in rural areas.
Study design and population
This study comprised a cross-sectional analysis of rural Chinese hypertension patients and analyzed the effect that trust in PCPs has on patient satisfaction. Using a multistage stratified random sampling method, between February 2017 and May 2018 we surveyed 2665 hypertension patients (response rate: 99.6%; 2665/2675) receiving care from rural primary-health-service institutions. Any questionnaire with a completion rate of 90% was regarded as efficient. The scores of efficient questionnaires were accounted, and missing data were replaced with the median. We selected three Chinese provinces to obtain representative samples from the eastern, central, and western regions: Zhejiang, Henan, and Shaanxi. Next, the counties of each province were divided into two categories (high and low) based on the level of economic development, and one sample county was randomly chosen from each category. Then, three townships from each county were randomly selected as sample townships by classifying each township as economically developed, moderately developed, or less developed and choosing one from each category. Next, three sample villages were chosen based on their distance from township hospitals (far, medium, and close). Finally, in every village, using the relevant primary health service institution’s hypertension management archives, a random sample of 50 hypertension patients was selected for the survey. Our sample size met the requirement that sampling (using SEM) should contain at least 20 observations per variable of analysis according to the heuristics, and that the number of samples for each unit should be more than 30 (that is, a large sample size) . Additionally, we increased the sample size by approximately 10% to account for unforeseeable factors.
Hangzhou Normal University’s scientific research ethics committee reviewed and approved the study protocol. Prior to the administration of the questionnaires, oral informed consent was first obtained from all patients considering the age and the education level of patients with hypertension in rural areas. All participants satisfied the following inclusion criteria: (a) had received hypertension management for more than 1 year; (b) had a normal intelligence quotient; (c) did not have any brain trauma or brain disease, visual or auditory dysfunction, or psychiatric disorder; and (d) could speak or read Chinese.
The questionnaire was distributed by trained interviewers. All subjects were asked a core set of questions regarding their socio-demographic characteristics (i.e., age, gender, household register, marital status, level of education, per-capita annual household income, and health insurance), hypertension management (i.e., number of visits to PCPs in the past year, blood pressure, and distance from the nearest health-service institution), and self-reported health status. Patients’ trust and satisfaction with their PCPs were measured using the WFPTS-C and the EUROPEP, respectively.
Chinese version of the wake Forest physician trust scale
Hall et al. [43, 44] verified the reliability and validity of the WFPTS through a large number of empirical studies. A modified Chinese version was developed by Dong and Bao , comprising 10 items that are scored using a 5-point Likert scale, ranging from 1 (“strongly disagree”) to 5 (“strongly agree”; scoring is reversed for items 2, 3, 7, and 8). The Chinese scale’s two-dimensional structure, “benevolence” and “technical competence,” has been verified in previous research. The overall score is computed through an unweighted summation of the individual item scores, with higher scores reflecting greater trust. In the present study, the total score for the trust scale ranged from 10 to 50, and the median (interquartile range) was 24 (4).
European task force on patient evaluation of general practice
The EUROPEP is a comprehensive 23-item questionnaire that measures patients’ satisfaction with their general medical services  and assesses patients’ opinions of their regular GP, based on their experiences over the previous 12 months. Items are scored using a 5-point Likert scale (1 = “poor,” 3 = “acceptable,” 5 = “excellent”). The EUROPEP has been tested in 16 European countries, and its technical quality has been verified . A revised Chinese version was created by Han . We divided the scale into three dimensions: clinical behavior (15 items), continuity and cooperation (3 items), and organization of care (5 items concerning facilities, availability, and accessibility). In the present study, the total score for the satisfaction scale ranged from 23 to 96, and the median (interquartile range) was 50 (21).
Reliability and validity of the Chinese version of the wake Forest physician trust scale and the European task force on patient evaluation of general practice
Responses to all 10 and 23 items of the C-WFPTS and EUROPEP, respectively, were entered into an exploratory factor analysis model. The principal component extraction method was used to extract the components of each scale. Consequently, the two-component model of C-WFPTS and the three-component model of EUROPEP were determined to explain 53.75 and 63.601% of the total variance, respectively. The components were consistent with previous researches using the two scales. The two components of C-WFPTS were “Benevolence” and “Technical competence”, and the three components of EUROPEP were “Clinical behavior” , “Continuity and cooperation” and “Organization of care”. Factor loadings for the two scales were shown in Tables 1 and 2. The Kaiser-Meyer-Olkin (KMO) test for sampling adequacy returned values of 0.833 and 0.973, and the Bartlett’s test of sphericity χ2 returned 7135.817 and 42,086.746 (p < 0.001), indicating that the scales contained good construct validity. Both scales and their dimensions also showed favorable internal consistency, ranging from 0.728 to 0.958.
In the initial analysis, outlier data and multicollinearity were assessed before proceeding. The existence of outliers was identified using Cook’s distance : if the observed Cook’s distance was greater than 0.5, the point was considered an outlier or strong influence point. Our analysis returned a maximum Cook’s distance of 0.036, indicating no outlier data. Next, multicollinearity was tested by considering tolerance rate and the variance inflation factor (VIF) . The results showed no tolerance rate below 0.10 or VIF above 10; all tolerance values were above 0.77 and all VIFs were below 1.30, indicating no multicollinearity.
We used Cronbach’s α values to test the reliability of the scale and factor analysis to test structural validity. Categorical variables were presented through frequencies and percentages. The normality of the distribution of the continuous variables was tested using a one-sample Kolmogorov-Smirnov test. Continuous variables with normal distribution were presented as means ± standard deviations; non-normal variables were reported as medians (interquartile range). Comparisons of continuous variables (scores for patient trust and satisfaction) were conducted using t-tests and one-way analyses of variance (ANOVA) tests, while Wilcoxon rank-sum tests (the Mann-Whitney U test and Kruskal-Wallis test) were used for non-normally distributed values. p values of < 0.05 indicated statistical significance. Multiple linear regression analysis was conducted, with patient satisfaction as the dependent variable and patient trust, as well as its two dimensions, as the independent variable. Model covariates were selected from those that returned a p-value of less than 0.2 in the univariate analysis. Next, SEM was conducted to test our hypotheses. SEM can be used to measure latent variables, and it allows the measurable variable and the latent variables to be placed in a common model, which can include multiple dependent variables in one measurement, reducing the error of multiple linear regression analysis. We also used several fit indices, including chi-square ratio (< 3), goodness of fit index (GFI; > 0.9), adjusted goodness of fit index (AGFI; > 0.9), normal fit index (NFI; > 0.9), and root mean square error of approximation (RMSEA; < 0.05) to evaluate overall model fitness. All analyses were conducted using SPSS 16.0 and AMOS 22.0 (SEM).
Patients’ demographic characteristics, hypertension management, and self-reported health status
This study included a total of 2665 patients. Over half (62.4%) were female; the majority were middle-aged or older adults, with only 33 patients under 45 years of age. Most respondents were married (82.5%) and had lower than senior high school education at survey time (95.8%). As we conducted our survey in rural areas, most respondents’ insurance was provided through the New Rural Cooperative Medical Scheme (NRCMS; 75.6%), a rural dwellers’ medical mutual helping system organized, guided, and supported by local government . Specific data, including data for additional main characteristics, are presented in Table 3.
Univariate analysis of factors associated with patient satisfaction
Wilcoxon rank-sum tests revealed that patient satisfaction was associated with region, gender, insurance status, per-capita annual household income, distance from the nearest medical/health-service institution, and number of visits to PCPs in the past year. Residents of eastern and central zones (p < 0.001), males (p < 0.001), recipients of medical insurance for urban residents (p < 0.001), and those living near a medical/health-service institution (p < 0.001) had better self-reported health status, made fewer visits in the past year, and had significantly lower satisfaction with their PCPs (Table 4).
Multiple linear regression analysis
The results of our multiple linear regression analysis (Table 5 shows the assignment of demographic variables), with satisfaction score as the dependent variable, trust score as the independent variable, and after controlling for other covariates, showed that trust score (β = 0.435, p < 0.01), receiving medical insurance for urban residents (β = 0.133, p < 0.01), and living in the central province (β = 0.149, p < 0.01) were associated with significantly higher satisfaction scores. In contrast, the number of visits in the past year (β = − 0.121, p < 0.01) and distance from the nearest medical/health service institution (β = − 0.074, p < 0.01) were associated with significantly lower scores. In addition, males had significantly higher satisfaction scores compared to females (Table 6). We conducted a second linear regression, taking the two dimensions of trust as independent variables; this analysis showed that the score for “benevolence” was associated with significantly increased satisfaction (β = 0.532, p < 0.01), while “technical competence” did not feature in the model (Table 6).
Structural equation modeling
On the basis of our factor analysis, “T1 benevolence” and “T2 technical competence” were used as exogenous latent variables, while “S1 clinical behavior,” “S2 medical service continuity and cooperation,” and “S3 organization of care” were used as endogenous latent variables. The corresponding entries acted as observation variables to construct a structural equation model. The final structural equation model is depicted in Fig. 2, and the variables were showed in Table 7. For the fit indices, χ2/df, GFI, AGFI, NFI, IFI, and CFI were > 0.9, and the RMSEA was < 0.05, indicating good model fit (Table 8).
Results of the SEM indicated that benevolence positively influenced clinical behavior (0.940), organization of care (0.910), and continuity and cooperation (0.879), while technical competence negatively influenced clinical behavior (− 0.077), organization of care (− 0.136), and continuity and cooperation (− 0.064) (Table 9).
In the present study, we found patients’ trust in their PCPs to be the strongest predictor of patient satisfaction. Among our sample population, both trust scores and satisfaction scores were relatively low. The median patient trust score was 2.4 per question, which is lower than the scores reported by Dong and Bao (3.1) , who used the same scale to conduct a trust survey of outpatients at Shanghai Third Grade Hospital. The score was also lower than scores reported in studies conducted overseas regarding patients’ trust in family physicians and primary care providers [30, 49]. A possible reason for this discrepancy is the gap between the service capacity of China’s primary hospitals in rural areas and patients’ demands regarding diagnosis and treatment, hindering the formation of a long-term stable partnership between doctors and patients . In the present study, the median satisfaction score was 2.2 per question, far below the scores reported in studies of China’s urban community health service centers (over 4 per question, also measured using EUROPEP) [45, 51]; the scores in our study were also lower than those reported in a survey assessing patient satisfaction during GP visits across nine European countries . A possible reason is that the present study targeted rural-based hypertension patients who, as a result of educational and social environmental factors, have poor self-care awareness and inadequately controlled high blood pressure . This may result in an overreliance on doctors and higher numbers of PCP visits, thereby creating an impression that the physician is not sufficiently competent. Additionally, although China has formed a relatively comprehensive system for chronic disease prevention and treatment, there are still many issues in rural areas, such as the unreasonable allocation of medical and health resources, medical staff’s low enthusiasm, insufficient policies for hypertension prevention and treatment, and a lack of effective supervision and evaluation mechanisms for hypertension control . Together, these problems have created a situation in which rural-based hypertension patients are less likely to have high satisfaction with PCPs, regardless of whether the issue is caused by the physician, other medical staff, or associated policies .
For the two dimensions of patient trust, the score for “technical competence” was higher than “benevolence,” suggesting that, in comparison to benevolence-associated aspects, when undergoing hypertension management in primary-health-care institutions, rural patients may pay more attention to physicians’ attitudes and communication skills, and may be more likely to feel that physicians are sufficiently clinically competent to address common medical problems, especially high blood pressure. The second linear regression, which set the two dimensions of trust as the independent variables, showed that the score for “benevolence” was significantly associated with an increase in satisfaction, while the score for “technical competence” had no impact. “Benevolence” represents physicians’ attitudes toward care and their communication competence . Our findings indicate that patients’ perceptions regarding physicians’ levels of considerate communication are positively related to patient satisfaction . A similar result was found in a study assessing factors that contribute to patients’ satisfaction with family physician consultations: most patients highlighted poor communication as a major factor that negatively affects the physician-patient relationship, rather than physicians’ professional competency .
The results of our multiple linear regression analysis and SEM differed slightly. In our SEM, all hypothesized paths were significant. Specifically, “benevolence” had a major positive impact on all three satisfaction dimensions. An expression of high trust in physicians’ “benevolence” indicates that patients believe that physicians care about them and are willing to devote notable time to their treatment . Although patient satisfaction can be enhanced once a trusting relationship has been established, “technical competence” had a small but negative impact on all three satisfaction dimensions, directly contradicting our original hypothesis. This appears unusual but can be explained by the “customer-perceived quality of service theory” (similar to patient satisfaction, which can be understood as “patient-perceived quality of health service”). This theory holds that service quality comprises two parts: technical quality (the result of the service) and functional quality (the service process) . Technical quality is a “hygiene factor” in regard to service quality, which means that high technical quality may not obviously improve patient-perceived health-service quality. Moreover, as a basic public health service, hypertension management is not very demanding for doctors in terms of technical competence; instead, there is a greater need for doctors to improve the service process and to make their patients feel their concern and that their communication is enjoyable . In our study, although physicians’ technical competence may be similar, it was not the patients’ main concern. Instead, patients frequently made requests concerning the service process (or functional quality) provided by physicians, such as physician-based care, communication, and referral arrangements. Additionally, our investigation focused on physicians’ clinical behavior (including the patient-doctor relationship and communication, medical care, and information and support), organization of care, and continuity and cooperation, which mostly relate to the hypertension treatment service process. Thus, based on our results, patients are more likely to express their dissatisfaction with these dimensions when they have relatively high trust in their PCPs.
When examining the influence of socio-demographic and other variables, we found that patients who lived in the central province tended to have higher satisfaction than patients who lived in the eastern and western provinces. A study conducted in eight cities located in rural areas of China yielded similar results . This region-based difference in satisfaction is potentially caused by differing health-service conditions and resident needs. For instance, patients in the eastern province may have had access to better health services, but their hypertension-related knowledge, particularly regarding risks and management, may have caused them to make more requests to visit their physicians. In the western province, financial limitations meant that the services patients received did not reach the standards of those of the eastern province; thus, patient satisfaction was lower. Notably, patients with more visits in the past year reported lower satisfaction levels. For hypertension patients, graded follow-up management is implemented based on blood pressure levels; more visits mean blood pressure is not being adequately controlled or indicate the presence of a more serious condition . Such patients need medication, and their quality of life is more likely to be affected, thereby increasing the economic burden of the disease . Patients who lived near health institutions were more satisfied owing to convenience and medical insurance also impacted patients’ satisfaction. For instance, patients insured with the Medical Insurance for Urban Residents (MIUR) and Basic Medical Insurance for Urban and Rural Residents were more satisfied. Compared with the NRCMS, MIUR reimburses for a wider range of drugs and has a relatively more convenient referral process [53, 57]. Basic Medical Insurance for Urban and Rural Residents is integrated into MIUR and NRCMS and features, within its scope, medical institutions and drugs that can be reimbursed under both types of insurance, thereby benefiting rural residents . Thus, integrating medical insurance for urban and rural residents can improve patient satisfaction. Regarding gender, a consistent conclusion has not yet been established across the literature [14, 32]; however, our study showed that men had greater satisfaction with their family physicians. No other factors, including age, education, marital status, or self-reported status, had an influence in this regard, indicating that patient satisfaction is a universal phenomenon across these variables.
This study has several limitations. In particular, we did not measure the impact of physician-related characteristics and the regression models had a relatively small goodness of fit index (R2), indicating a limited ability to explain the variations in the dependent variables, but still within the acceptable range. However, we did not aim to predict patient satisfaction ratings; instead, we primarily aimed to identify the influence of patient trust and its dimensions on these ratings. Despite these shortcomings, by using SEM we have extended the current literature concerning relationships between trust and satisfaction among Chinese rural patients with hypertension, clarifying the influencing mechanism of the internal dimension.
This study analyzed the effect of patient trust with their PCPS on satisfaction among rural-based patients with hypertension. Results indicated that during hypertension management, patients focus more on physicians’ benevolence than on their technical competence. Thus, medical humanities education should be emphasized for PCPs to improve the services they provide, as well as their service attitude. Concurrently, we found that physicians’ communication skills played an essential role in improving patients’ satisfaction. However, low overall trust and satisfaction among patients can negatively influence patients’ self-management and doctors’ enthusiasm, exerting a harmful influence on the effective management of hypertension. Thus, it is important for patients and physicians to establish a long-term, stable partnership.
Our findings regarding other factors, such as region- and health-insurance-based differences, indicate that the existing inequities between eastern, central, and western provinces as well as those between urban and rural areas must be addressed. Thus, future formulations of policies should fully consider regional characteristics and integrate medical insurance for urban and rural residents. To meet residents’ needs, services in eastern provinces should focus on improving efficiency, while services in western provinces need to improve in other areas, such as health facilities and the workforce.
Availability of data and materials
The datasets used during the current study are available from the corresponding author on reasonable request.
European Task Force on Patient Evaluation of General Practice
Medical Insurance for Urban Residents
New Rural Cooperative Medical Scheme
Primary Care Physician
Structural Equation Model
Variance Inflation Factor
Chinese version of the Wake Forest Physician Trust Scale
Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. Lancet. 2005;365(9455):217–23.
Jneid S, Jabbour H, Hajj A, Sarkis A, Licha H, Hallit S, et al. Quality of life and its association with treatment satisfaction, adherence to medication, and Trust in Physician among Patients with Hypertension: a cross-sectional designed study. J Cardiovasc Pharmacol Ther. 2018;23(6):532–42.
Chinese Medical Doctor Association. China's hypertension prevention and control status blue book 2018. Beijing: People's Medical Publishing House; 2019.
Chen X, Li L, Zhou T, Li Z. Prevalence of hypertension in rural areas of China: a meta-analysis of published studies. PLoS One. 2014;9(12):e115462.
Han Y. Present situation and countermeasure of China's rural medical and health service system. J Changchun Univ Chin Med. 2015;31(1):202–203+213.
Revision Committee of China's Guidelines for the Management of Hypertension. China’s Guidelines for the Management of Hypertension (2014 Revision). Chin J Hypertens. 2015;23(1):24–43+15.
Cobos B, Haskard-Zolnierek K, Howard K. White coat hypertension: improving the patient-health care practitioner relationship. Psychol Res Behav Manag. 2015;8:133–41.
Liu X, Liu C. Doctor-patient communication in medical situations and enlightenment of knowledge transfer. Chin Gen Pract. 2014;17(34):4146–50.
Gopichandran V, Chetlapalli SK. Factors influencing trust in doctors: a community segmentation strategy for quality improvement in healthcare. BMJ Open. 2013;3(12):e004115.
Chai S. Research on status and countermeasures of interpersonal continuity of health Care in Rural Areas [master's thesis], Huazhong University of Science & Technology; 2016.
Pascoe GC. Patient satisfaction in primary health care: a literature review and analysis. Eval Program Plann. 1983;6(3–4):185–210.
Platonova EA, Kennedy KN, Shewchuk RM. Understanding patient satisfaction, trust, and loyalty to primary care physicians. Med Care Res Rev. 2008;65(6):696–712.
Zheng J, Wu Q, Liu H, Zheng T, Tan X, Chen M. Study on the influencing factors of the satisfaction of patients with hypertension to the village clinics under the background of rural basic public health services. Med Soc. 2019;32(9):61–3.
Bawakid K, Rashid O, Mandoura N, Shah H, Ahmad W, Ibrahim A. Patients' satisfaction regarding family physician's consultation in primary healthcare centers of Ministry of Health. J Fam Med Prim Care. 2017;6(4):819–23.
Zheng Y, Hua S, Dai J. Satisfaction of community patients with chronic diseases to treatment and their utilization of medical services. Chin Gen Pract. 2012;15(19):2153–7.
Yu Z. Research on status and countermeasures of interpersonal continuity of health Care in Rural Areas [master's thesis], Shanxi Normal University; 2017.
Hall MA, Dugan E, Zheng B, Mishra AK. Trust in physicians and medical institutions: what is it, can it be measured, and does it matter? Milbank Q. 2001;79(4):613–39.
Chang CS, Chen SY, Lan YT. Service quality, trust, and patient satisfaction in interpersonal-based medical service encounters. BMC Health Serv Res. 2013;13(1):22. https://doi.org/10.1186/1472-6963-13-22.
Barton JL, Trupin L, Tonner C, Imboden J, Katz P, Schillinger D, et al. English language proficiency, health literacy, and trust in physician are associated with shared decision making in rheumatoid arthritis. J Rheumatol. 2014;41(7):1290–7.
Liu X, Chen J. Investigation on nurse — patient communication and degree of trust and satisfaction of inpatients in military comprehensive general hospitals. Hosp Adm J Chin PLA. 2016;23(7):613–6.
Chen Q, Fan J, Xi M, Chen Z, Rong Y, Zhou J, et al. Investigation of the influence factors of inpatients’ satisfaction degree in a grade a Comprehensive Hospital in Beijing. Chin Hospital Manag. 2015;35(2):56–8.
Cheng Q, Liu K, You L, Zhang L, Zhu X, Zheng J, et al. Survey on inpatient satisfaction with healthcare and its influencing factors in level 2 and level 3 hospitals in China. Chin Nurs Manag. 2016;16(11):1482–8.
Zhou W, Wang Y, Wan Q, Gong W, Zhang Y, Hou L, et al. Path analysis of perceived service quality, patient satisfaction and patient trust on patient behavioral intentions. Chin J Health Stat. 2018;35(2):272–5.
Liu S. Construction and empirical analysis of patient satisfaction index model in large general hospitals, Jilin University; 2013.
Qian Y, Wang X, Chen Y, Zhang S, Yu C, Gu Y. Studying on the progress of research in patients' satisfaction on medical services and its problems. Chin Health Serv Manag. 2015;32(2):105–7.
Sun F, Fu Y, Dong E. Study on the factors influencing the life satisfaction of outpatients in public hospitals. Chin Health Qual Manag. 2016;23(3):60–62+66.
Zhang X. Study on the health service and professionals, satisfaction and the influencing factors of residents in Shandong province [master's thesis], Shandong University; 2016.
Zhang M, Tang G. Problems and countermeasures of prevention and control of hypertension in rural areas. Chin Rural Health Serv Adm. 2018;38(1):30–2.
Van Den Assem B, Dulewicz V. Patient satisfaction and GP trustworthiness, practice orientation and performance: implications for selection, training and revalidation. J Health Organ Manag. 2014;28(4):532–47.
Baker R, Mainous Iii AG, Gray DP, Love MM. Exploration of the relationship between continuity, trust in regular doctors and patient satisfaction with consultations with family doctors. Scand J Prim Health Care. 2003;21(1):27–32.
Martin KD, Roter DL, Beach MC, Carson KA, Cooper LA. Physician communication behaviors and trust among black and white patients with hypertension. Med Care. 2013;51(2):151–7.
Shan L, Li Y, Ding D, Wu Q, Liu C, Jiao M, et al. Patient satisfaction with hospital inpatient care: effects of trust, medical insurance and perceived quality of care. PLoS One. 2016;11(10):e0164366.
Wu M. Structural equation model: the operation and application of AMOS: Chongqing University press; 2010.
Benkert R, Peters RM, Clark R, Keves-Foster K. Effects of perceived racism, cultural mistrust and trust in providers on satisfaction with care. J Natl Med Assoc. 2006;98(9):1532–40.
Dong EH, Liang Y, Liu W, Du X, Bao Y, Du Z, et al. Construction and validation of a preliminary Chinese version of the wake Forest physician trust scale. Med Sci Monit. 2014;20:1142–50.
Bachinger SM, Kolk AM, Smets EMA. Patients' trust in their physician-psychometric properties of the Dutch version of the "wake Forest physician trust scale.". Patient Educ Couns. 2009;76(1):126–31.
Dong E, Bao Y. Reliability and validity of the Chinese version of wake Forest physician trust scale. Chin Ment Health J. 2012;26(3):171–5.
Grol R, Wensing M, Mainz J, Ferreira P, Hearnshaw H, Hjortdahl P, et al. Patients' priorities with respect to general practice care: an international comparison. Fam Pract. 1999;16(1):4–11.
Bjertnaes OA, Lyngstad I, Malterud K, Garratt A. The Norwegian EUROPEP questionnaire for patient evaluation of general practice: data quality, reliability and construct validity. Fam Pract. 2011;28(3):342–9.
Teng F, Guan L, Wang Y, Xuan L. Evaluation of community health service satisfaction by method based on the EUROPEP-questionnaire. Chin Gen Pract. 2011;14(25):2844–7.
Evans RG, Edwards A, Evans S, Elwyn B, Elwyn G. Assessing the practising physician using patient surveys: a systematic review of instruments and feedback methods. Fam Pract. 2007;24(2):117–27.
Bartlett J, Kotrlik J, Higgins C. Organizational research: determining appropriate sample size in survey research appropriate sample size in survey research. ITLPJ. 2001;19(1):43–50.
Hall MA, Camacho F, Lawlor JS, Depuy V, Sugarman J, Weinfurt K. Measuring trust in medical researchers. Med Care. 2006;44(11):1048–53.
Hall MA, Zheng B, Dugan E, Camacho F, Kidd KE, Mishra A, et al. Measuring patients' trust in their primary care providers. Med Care Res Rev. 2002;59(3):293–318.
Han G. Development and application of extended EUROPEP scale – a survey of patients' satisfaction with the service of community general practitioners [master's thesis], Shanxi Medical University; 2014.
Sen Roy S, Guria S. Diagnostics in logistic regression models. J Korean Stat Soc. 2008;37(2):89–94.
Field A. Discovering statistics using IBM SPSS statistics: sage publications ltd; 2013.
Yip W, Hsiao W. China's health care reform: a tentative assessment. China Econ Rev. 2009;20(4):613–9.
Chu-Weininger MYL, Balkrishnan R. Consumer satisfaction with primary care provider choice and associated trust. BMC Health Serv Res. 2006;6(1):139.
Wu H, Hao J, Yang J. Study on the patient trust assessment and influencing factors in different level medical institution. Chin Hosp. 2018;22(2):26–9.
Tan C, Zhu H. Reliability and validity analysis of European satisfaction survey scale (EUROPEP) and its application in a community in Shanghai. Chin Commun Doctors. 2017;33(13):147–8.
Wensing M, Vedsted P, Kersnik J, Peersman W, Klingenberg A, Hearnshaw H, et al. Patient satisfaction with availability of general practice: an international comparison. Int J Qual Health Care. 2002;14(2):111–8.
Ding P. Analysis on the current situation and effectiveness of hypertension control in rural China [master's thesis], Chinese Center for Disease Control and Prevention; 2013.
Hesse C, Rauscher EA. The relationships between doctor-patient affectionate communication and patient perceptions and outcomes. Health Commun. 2019;34(8):881–91.
Qi X. Association study of psychosocial characteristics, compliance and blood pressure control among hypertensive patients [master's thesis], Fudan University; 2013.
Hu S. Study on the applicability of SERVQUAL scale in evaluating the community health service quality in China [master's thesis], Huazhong University of Science and Technology; 2018.
Li Y. Research on the basic health Insurance for Urban and Rural Residents in Shanxi Province [master's thesis], Shanxi University of Finance & Economics; 2016.
Xia Y, Jing X, Duan Q. Status quo, problems and recommendations on the convergence of urban-rural basic medical insurance system in China. Chin J Health Policy. 2010;3(1):43–8.
The authors would like to thank the School of Medicine of Hangzhou Normal University and Zhengzhou University for supporting this research. The authors also thank the staff of the primary health service institutions and the research staff for their assistance with the surveys.
This study was supported by Grant 71403075 from the National Natural Science Foundation of China and Grant 19BGL250 from the National Social Science Fund of China for the research, authorship, and publication of this article.
Ethics approval and consent to participate
Hangzhou Normal University’s scientific research ethics committee reviewed and approved the study protocol (reference number: 2015–032). Considering the age and the education level of patients in our study, verbal-only informed consent, which had been approved by the ethics committee, was obtained from all patients. All procedures were performed in accordance with the Declaration of Helsinki (2008) and the ethical standards of the ethics committee of Hangzhou Normal University.
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The authors declare that they have no competing interests.
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Chen, W., Feng, Y., Fang, J. et al. Effect of trust in primary care physicians on patient satisfaction: a cross-sectional study among patients with hypertension in rural China. BMC Fam Pract 21, 196 (2020). https://doi.org/10.1186/s12875-020-01268-w
- Patient trust
- Patient satisfaction
- Hypertension management
- Rural area