Background
Patient satisfaction has been commonly used for evaluating health care services. It reflects the overall experience of a patient [
1]. Patient satisfaction affects clinical outcomes, patient retention, and patient-doctor relationships [
2]. Satisfied patients are more likely to comply with medical advice and be cooperative. In China, great efforts have been made to improve patient satisfaction with primary care [
3], with an intention to divert patients from hospitals (often a very crowded environment) to community health services (CHSs) [
4].
Patient satisfaction is shaped by at least four factors: the personal preference of the patient, the patient’s expectation, the response tendency of the patient due to personal characteristics, and the quality of care received [
1]. Some researchers argue that patient satisfaction can also be influenced by the previous experience of the patient and the opinions of others, such as relatives and friends [
5].
Extensive studies have been undertaken to identify the determinants of patient satisfaction [
6‐
23]. A study in the USA found that older and literacy-deficient patients tend to have a higher degree of satisfaction than their younger and functionally literate peers [
10]. Cohen in the UK also found that age is a strong predictor of patient ratings on satisfaction for both hospital and primary care, with older patients having a higher degree of satisfaction [
8,
13]. This could be caused by the lower expectations of older patients [
14,
18]. But some researchers argue that older patients are also likely to be treated with more respect by physicians [
15]. The findings on gender differences in patient satisfaction are mixed, with some claiming that female patients have a higher degree of satisfaction and others reaching an opposite conclusion [
13,
14].
Patient satisfaction can also be shaped by the characteristics and behaviors of health workers [
8‐
10,
16]. Good communication and attitudes (such as understanding, listening, respect and empathy) can increase the degree of patient satisfaction [
6,
17]. Compared with female physicians, male physicians tend to be more active and controlling in communications [
18]. In some cultures, patients talk more, disclose more private information and make more positive statements to female physicians than to male physicians [
19]. Harbinder [
20] found that the gender of medical practitioners is associated with length of consultation, agendas elicited, and the content and style of communications. Cypress [
21] reported that female doctors spend more time with female patients than with male patients. Studies in Western countries revealed that a female-sex role congruent communication style leads to a higher degree of patient satisfaction when women see a female physician [
22,
23].
Patient satisfaction has been increasingly used in comparing the performance of healthcare organizations [
24,
25]. Indeed, patient satisfaction is a reflection of the collective efforts made by a healthcare organization. Each patient is looked after by a team comprising physicians, nurses and other professional and administrative workers. Strong teamwork can improve the patient experience [
26‐
28]. The strength of an organizational culture which puts patients at the center of care is positively associated with patient satisfaction [
29]. Young and colleagues [
30] found that larger and urban hospitals are usually rated lower by patients in satisfaction surveys compared with smaller and rural hospitals. Services involving graduate medical students may also lower patient satisfaction [
31].
It is not clear whether the gender composition of the medical workforce, an important organizational feature, may influence patient satisfaction. Given the fact that gender differences exist among individual medical workers in responding to patient needs [
32,
33], it is reasonable to expect an association between patient satisfaction and the gender composition of medical workers in an organization. However, it is important to note that the role of gender in different cultures may vary considerably.
This study was undertaken in China, with an aim to establish associations between patient satisfaction and the gender composition of physicians in CHS organizations.
We hypothesized that patient satisfaction is a multi-attribute construct, reflecting the experience of a patient over the process of interacting with a range of health workers and services in an organization. It is associated with the individual characteristics of the patient and the collective characteristics of the organization.
-
Hypothesis 1: Patient satisfaction varies with the individual characteristics of patients, such as age, gender, education, and financial affordability of health care (measured by medical expenses and average household income);
-
Hypothesis 2: Organizational characteristics as indicated by gender composition (in numbers, qualifications, and job satisfaction) in an organization moderates the effects of patient individual characteristics on patient satisfaction.
We did not assume a particular direction in the associations between patient satisfaction and organizational and patients’ individual characteristics because such associations often depend on the system environment in which services are delivered.
Methods
Setting
From 2009 to 2012, the number of male registered physicians employed by CHSs in China increased from 41,250 (46.8%) to 63,133 (48.1%), while female registered doctors increased from 46,947 (53.2%) to 78,750 (51.9%) [
34]. Compared with developed nations such as Australia [
35], Canada [
36], the UK [
37] and the USA [
38], China has a higher proportion of female physicians working in primary care settings. Moreover, not all physicians in China hold a university medical degree. About 37% of physicians in CHSs completed a bachelor degree of medicine.
This study was conducted in Hubei province. Hubei is situated in central China, with a population of 58.5 million. It ranks in the middle range of economic development in all the provinces in China in terms of per capita GDP. There are 771 hospitals and 326 CHS centers, which employ about 65,800 and 5600 physicians, respectively [
39].
Sampling
A multistage stratified random sampling strategy was employed in this study. Seventeen municipalities in Hubei were divided into three economic zones according to per capita GDP. Two municipalities from each zone were randomly selected. Six CHS organizations were then randomly selected from each participating municipality. This resulted in a total sample of 36 CHS centers.
Data collection
The number of male and female physicians was provided by the managers of the participating CHSs.
All physicians on duty and the patients visiting the participating CHS on the day when the survey was undertaken during the period from April to October of 2015 were invited to participate in a questionnaire survey. A total of 1319 questionnaires were dispatched: 387 to physicians and 932 to patients. Response rates were high, with 324 (83.7%) questionnaires being returned from the invited physicians and 865 (92.8%) questionnaires being returned from the invited patients. The questionnaire was administered through face-to-face interviews by six trained interviewers. Patients were interviewed after they had completed a visit to the CHS.
The questionnaire for physicians consisted of two parts. Part one collected information related to socio-demographic characteristics (e.g. age and sex) and professional training (e.g. qualification). Part two assessed job satisfaction. Previous studies found that the job satisfaction of medical workers is positively associated with patient satisfaction [
40,
41]. The job satisfaction scale used in this study was adapted from the
Minnesota Satisfaction Questionnaire (MSQ), which contains 12 items [
42]. The MSQ has been validated and widely accepted internationally [
43]. Example questions included how the respondents felt about the “decision-making ability of their superior” and their “job promotion opportunities”. Respondents were asked to rate their experiences on a five-point Likert scale [from very dissatisfied (score 1) to very satisfied (score 5)]. The item scores were added and averaged. The internal consistency of the MSQ scale in this study population is high, with an alpha coefficient of 0.839.
The questionnaire for patients also consisted of two parts. Part one collected information related to the socio-demographic characteristics of patients, such as age, gender, education, household income and frequency of visits to CHSs in the past year. Part two assessed patient satisfaction towards “quality of care”, “skills of physicians” and “attitudes of physicians”. Each of the three aspects was measured using one item: “Overall, how satisfied are you with the quality of care you received?” (quality of care); “How satisfied are you with the skills of your physicians who made the diagnoses and delivered treatment?” (skills of physicians); “How satisfied are you with the attitudes of your physicians?” (attitudes of physicians). Respondents (including 44 (5%) respondents on behalf of their < 18 years old children) were asked to rate items on a five-point Likert scale, ranging from 1 (strongly dissatisfied) to 5 (strongly satisfied). These items were chosen from the
Patient Satisfaction Questionnaire Short-form (PSQ-18) [
44] with consideration of their relevance and importance to CHS patients in China. Sixma and colleagues argue that patient expectations and concerns should be the utmost consideration in measuring patient satisfaction [
45]. In general, patient expectations encompass a variety of dimensions, which range from the physical facility and convenience to skilled services and outcomes of care [
3,
46,
47]. In response to patient expectations, health care services need to be delivered in a fair, compassionate and respectful way. Hall and Dornan [
48] found that services that demonstrate humanness and competence, cost-effectiveness, good accessibility and share information are most valued by patients. Studies in China showed that the overwhelming concerns of CHS patients rest on quality of care, skill competency of physicians, and attitudes of health workers [
49,
50].
Outcome variable
Patient satisfaction was measured by the average score of the three items, which had an acceptable internal consistency (alpha =0.715).
Independent variable
The gender composition of the medical workforce in CHSs is the major focus of this study. Three variables were generated to measure gender composition. The sex ratio (number of males to females) reflects the percentage distribution of gender in relation to physicians. We also measured differences in qualifications and job satisfaction between male and female physicians. We used the questionnaire for physicians to estimate the sex ratio in relation to the percentage of physicians with a university qualification. Gender differences in job satisfaction were measured by the difference in mean scores between male and female physicians.
A number of factors may have a confounding influence on the associations between patient satisfaction and the gender composition of physicians. In this study, we considered patient age, gender, education, average household monthly income, medical expenses relating to recent visits to a CHS, and the frequency of visits to a CHS over the past year.
Data analysis
Multi-level linear regression analyses were performed using HLM7.0. We established a two-level random effect models using maximum likelihood estimation (MLE). The two levels of measurements corresponded to the individual characteristics of patients and the collective characteristics of CHSs, respectively (Table
1).
Table 1
Values assigned to the independent variables in multi-level modelling
Individual-level (patients) |
Sex | 0 = Male; 1 = Female |
Age | Continuous variable measured as “years” |
Education | 0 = Without a tertiary qualification; 1 = With a tertiary qualification |
Average monthly household income | Continuous variable measured in monetary terms “Yuan” |
Medical expenses | Continuous variable measured in monetary terms “Yuan” |
Frequency of visits | Continuous variable measured as “Times” |
Organizational-level (community health services) |
Sex ratio “numbers” | Ratio of the number of male to female medical workers |
Sex ratio “qualifications” | Percentage of male to female physicians with a bachelor degree |
Gender difference in job satisfaction | Difference in mean scores of job satisfaction between male and female physicians |
We started with an unconditional model (intercept only, Model One in Table
3) to examine the variations in the outcome variable (patient satisfaction) first.
We then developed a model (Model Two) to test hypothesis one, containing only level one variables (patient characteristics):
$$ {\mathrm{Y}}_{\mathrm{ij}}={\upbeta}_{0\mathrm{j}}+{\upbeta}_{1\mathrm{j}}\left(\mathrm{gender}\right)+{\upbeta}_{2\mathrm{j}}\left(\mathrm{age}\right)+{\upbeta}_{3\mathrm{j}}\left(\mathrm{education}\right)+{\upbeta}_{4\mathrm{j}}\left(\mathrm{income}\right)+{\upbeta}_{5\mathrm{j}}\left(\mathrm{medical}\ \mathrm{expense}\right)+{\upbeta}_{6\mathrm{j}}\left(\mathrm{frequency}\ \mathrm{of}\ \mathrm{visits}\ \mathrm{to}\ \mathrm{CHS}\right)+{\upgamma}_{\mathrm{ij}} $$
Level two variables (organizational characteristics) were subsequently introduced into the model to estimate the mixed effect regression coefficients. Because patient gender, education, household income and frequency of visits to CHS did not appear as a significant predictor of patient satisfaction, their mixed effects with level two variables were not explored. Model Three tested the interaction effect between “age” and level two variables, while Model Four tested the interaction effect between “medical expense” and level two variables (hypothesis two).
$$ {\upbeta}_{0\mathrm{j}}={\upgamma}_{00}+{\upmu}_{0\mathrm{j}} $$
$$ {\upbeta}_{1\mathrm{j}}={\upgamma}_{10}+{\upmu}_{1\mathrm{j}} $$
$$ {\upbeta}_{2\mathrm{j}}={\upgamma}_{20}+{\upgamma}_{21}\left(\mathrm{sex}\ {\mathrm{ratio}}^{``}{\mathrm{numbers}}^{"}\right)+{\upgamma}_{22}\ \left(\mathrm{sex}\ {\mathrm{ratio}}^{``}{\mathrm{qualifications}}^{"}\right)+{\upgamma}_{23}\ \left(\mathrm{gender}\ \mathrm{differences}\ \mathrm{in}\ \mathrm{job}\ \mathrm{satisfaction}\right)+{\upmu}_{2\mathrm{j}} $$
$$ {\upbeta}_{3\mathrm{j}}={\upgamma}_{30}+{\upmu}_{3\mathrm{j}} $$
$$ {\upbeta}_{4\mathrm{j}}={\upgamma}_{40}+{\upmu}_{4\mathrm{j}} $$
$$ {\upbeta}_{5\mathrm{j}}={\upgamma}_{50}+{\upgamma}_{51}\left(\mathrm{sex}\ {\mathrm{ratio}}^{``}{\mathrm{numbers}}^{"}\right)+{\upgamma}_{52}\left(\mathrm{sex}\ {\mathrm{ratio}}^{``}{\mathrm{qualifications}}^{"}\right)+{\upgamma}_{53}\left(\mathrm{gender}\ \mathrm{differences}\ \mathrm{in}\ \mathrm{job}\ \mathrm{satisfaction}\right)+{\upmu}_{5\mathrm{j}} $$
$$ {\upbeta}_{6\mathrm{j}}={\upgamma}_{60}+{\upmu}_{6\mathrm{j}} $$
Yij represents the satisfaction rating of patient i (level 1) in CHS j (level 2). βis a fixed parameter to be estimated.γis a CHS-specific random effect. Μis the component of error term.
Conclusion
A low level of patient satisfaction with CHSs is evident in the study setting. Women comprise more than half the physicians in CHSs in China. The negative link between patient satisfaction and the proportion of female physicians in CHSs is concerning. A significant gap in university qualifications between male and female physicians exists, which exacerbates the negative association between patient age and satisfaction ratings. Strengthening the professional training of female physicians may contribute to the improvement of patient satisfaction, especially for older patients.
It is important to note that patient satisfaction with CHSs is associated with both the individual characteristics of patients (such as age and medical expenses) and the collective characteristics of organizations (such as the gender composition of physicians). Comparisons of CHS organizations based on patient satisfaction data should consider risk adjustments for differences in physician and patient profiles. Furthermore, managers should be encouraged to put more effort into enhancing the professional training of female physicians, rather than developing policies that discriminate against female physicians [
69,
70].
Limitation
This study was undertaken in 36 CHS organizations in Hubei province. The gender composition indicators are restricted to physicians in CHSs. The results should not be generalized to the entire hospital sector, nor to other healthcare workforce (such as nurses, pharmacists, allied health practitioners, and managers).
We have not been able to include patient diagnoses in the multi-level modelling due to unavailability of data. Further studies should consider patient casemix adjustment, if possible.
We established multi-level models using a summed patient satisfaction score based on three items because it is unreliable to transform a five-point Likert scale on a single item into a continuous measurement. We did not use the full scale of the PSQ-18 for concerns of overburdening the respondents. The β coefficients are small although they are statistically significant.