How to Maintain a Sustainable Doctor-Patient Relationship in Healthcare in China: A Structural Equation Modeling Approach

Wang, Zhan-You; Zhang, Xin; Ma, Liang

doi:https://doi.org/10.1155/2022/8251220

Journal of Healthcare Engineering

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Abstract Introduction Materials and Methods Results Conclusion Data Availability Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2022 | Article ID 8251220 | https://doi.org/10.1155/2022/8251220

How to Maintain a Sustainable Doctor-Patient Relationship in Healthcare in China: A Structural Equation Modeling Approach

Zhan-You Wang,^1,2Xin Zhang,¹and Liang Ma¹

Academic Editor: Weiwei Cai

Received04 Mar 2022

Revised02 May 2022

Accepted17 May 2022

Published05 Jul 2022

Abstract

It is important to identify means of improving and maintaining a sustainable doctor-patient relationship to address current healthcare issues. Although many studies have made outstanding contributions to the healthcare doctor-patient relationship literature, little work has been done to explore the influencing elements of the doctor-patient relationship in relation to expectation confirmation theory. To fill this gap, this study produced a theoretical framework model of the influencing factors of the doctor-patient relationship according to the expectation confirmation theory. Data from 335 Chinese patients were analyzed using a structural equation modeling method, and the results showed that patient satisfaction and patient trust are the most important factors in building a good relationship between doctor and patient. Furthermore, three components of postdiagnosis patient’s perception, namely, perceived service quality, perceived communication quality, and perceived service attitude, are examined. These have a significant impact on patient confirmation. These three components ultimately affect the doctor-patient relationship. This study will be helpful for doctors to understand patients’ service demands and their future diagnosis behavior. The proposals of this study may lead to optimization of the process of diagnosis and improvements in the quality of clinic services.

1. Introduction

It is important to improve the doctor-patient relationship in Chinese healthcare. The total number of medical damage liability disputes in 2020 was 18,670, an increase of about 3% over the number of cases in 2019 in China [1]. China has carried out many medical reforms, which have improved the quality of healthcare services. However, they play no role in tense doctor-patient relationships. For one thing, patients consider that cannot obtain benefits from appropriate services, and their interests may be harmed [2]. For their part, doctors hold that they face pressure from various social and economic aspects of healthcare while providing care [3]. Addressing the problem of improving the doctor-patient relationship in healthcare has become particularly urgent and necessary.

Scholars have made investigated the doctor-patient literature. Recent research focuses on patient’s satisfaction, trust, and communication with doctors [4]; doctors’ information system usage, attitudes, interpersonal skills, and description of treatment [5]; and the availability of particular skills, hospital equipment, and clinical capacity [6], among other topics. For example, Chandra et al. [7] found that mutual trust and communication were both positively correlated with patient satisfaction and perceived quality of healthcare services, leading to better adherence to medication regimes and following doctors’ advice. Furthermore, Cheng et al. [8] showed that doctors’ solicitude for their patients, their interpersonal communicative strategies, their discussion of the choice of treatment, technical skills, availability of medical supplies, and clinical competence jointly exert a significant and positive influence upon patient’s satisfaction and the physician-patient relationship. Hu et al. [9] defined patient loyalty as willingness to repeat a treatment. If the healthcare service can retain patients and make them loyal customers, this will improve the doctor-patient relationship while also bringing long-term business benefits to hospitals. Naidu [10] identified that patients’ perceptions, especially regarding doctors’ communicative techniques, also significantly determine the degree of patient satisfaction. Although some studies have made outstanding contributions to the understanding of the doctor-patient relationship, few have explored how differences in perceived service quality affect the doctor-patient relationship and its process. Taking into account the important role of that different types of service quality have on the doctor-patient relationship [11, 12], unlike other studies, this study explores how different levels of perceived service quality affect the doctor-patient relationship. Clarifying this issue will be of great importance for understanding patient expectations and perceptions and improving a hospital’s level of service quality [13].

Drawing on expectation-confirmation theory (ECT), this study proposed a research model to study how differences in perceived service quality of the patient affect the doctor-patient relationship and reveal its process. In this way, this study contributes to the doctor-patient relationship literature by examining how different levels of perceived service quality, such as perceived communication quality and perceived service attitude, and patient variables, such as the patient’s expectation and patient’s confirmation, affect the doctor-patient relationship, and reveal its process. Previous research emphasized the role of pre-existing factors of satisfaction while ignoring the mechanism of satisfaction emergence [10]. This study also contributes to the doctor-patient relationship literature with its use of ECT to identify how satisfaction is developed in the healthcare context. The practical contribution of this study is to allow hospital managers to fully understand the influence factors of doctor-patient relationship, thereby resulting in strategies to improve hospitals to retain patients. This study also expects that the results bring new insights to management in the medical services industry to further improve the operation performance of the medical service industry.

2. Theoretical Background

2.1. A Postacceptance Model of Expectation-Confirmation Theory

Oliver [14] proposed a postacceptance theoretical model in the form of ECT that consisted of five constructs, namely, expectation, perceived performance, confirmation, satisfaction, and continuance intention (repurchase intention). Here, expectation refers to an attitude that something should be in a certain way; early researchers defined expectations as the “beliefs that a given response will be followed by some event” [15]. In particular, expectation and perceived performance positively affected confirmation; expectation and confirmation positively affected satisfaction; and satisfaction prompted users’ behavioral intention [13]. The postacceptance model of ECT has been generally accepted and extended across a variety of fields [16]. In addition, ECT-related studies, in most cases, added explanatory variables on the basis of the existing ECT to strengthen the explanatory power of the research or combined and compared with other theories to produce better verification results [17]. For example, Cheng [18] showed that the quality of information, system, supportive service, and instruction, to a large extent, contribute to perceived usefulness, confirmation, and flow, which jointly explain nurses’ satisfaction with the application of blended E-learning system. On the basis of ECT, a group of researchers produced an integrated information system success model to study elementary parameters that affect consumers’ continuous usage intention [19]. Delone and Mclean [20] have shown that system quality, information quality, and service quality all have a significant positive influence on users’ confirmation, which further affects satisfaction. From the above discussion, this study posits that patient’s expectation and different perceived service quality of patient, including service quality, communication quality, and service attitude positively influence patient’s confirmation. Based on the above discussion and ECT, this study proposed the following hypotheses. H1: Patient expectation positively influences patient confirmation. H2: Perceived service quality positively influences patient confirmation. H3: Perceived communication quality positively influences patient confirmation. H4: Perceived service attitude positively influences patient confirmation.

A range of factors influence the degree of patient satisfaction in the context of healthcare sustainability. Lochman [21] identifies factors that are remarkably related to patient satisfaction, such as the accessibility of medical care, the organizational structure of clinics, treatment duration, doctors’ ability to perceive, the clarity and retention of doctor-patient interactions, doctors’ control, and patients’ expectations. Amin and Nasharuddin [22] find that customer satisfaction conforms to customer expectations of products and services in relation to real performance. If the latter matches customers’ expectations, they will be satisfied, and vice versa [23]. The ECT also postulates that the degree of satisfaction is generally determined by consumers’ confirmation of expectations through premier usage, because consumers are used to comparing their expectations in the preliminary stage with the actual use experience. If their expectations are confirmed, they tend to be more satisfied with the systems or services [24]. Thus, this study holds that patients’ expectations positively influence their satisfaction. Besides, according to ECT, when users are satisfied with specific services, they confirm the services, which means that their satisfaction positively influence patient’s confirmation [25]. Lin et al. [26] also confirmed that satisfaction has a positive impact on customer confirmation. Based on the above discussion and ECT, this study proposes the following hypotheses. H5: Patient expectation positively influences patient satisfaction. H6: Patient satisfaction positively influences patient confirmation.

2.2. Relationship between Satisfaction and Doctor-Patient Relationship

In this study, patient satisfaction refers to a patient’s emotional evaluation of a medical service by comparing their previous expectations with the service they actually received [27]. According to Naidu [10], patient satisfaction involves a variety of dimensions, including care quality, access, cost, physician’s role and behavior, and physical facilities. On the other hand, patient satisfaction is a key factor in the establishment and maintenance of doctor-patient relationships in the provision of medical services [28]. Faezipour and Ferreira [29] indicated that an increase in patient satisfaction will also decrease the level of patient complaints; this, in turn, may significantly improve doctor-patient relationships. In addition, Garman et al. [30] found that patient satisfaction significantly increases patients’ probability of returning to the previous provider for further treatment. In other words, patients’ satisfaction with treatment gives rise to a positive relationship between the patient and the doctor, and appropriate and satisfying treatment of patients’ results in lower levels of complaint and fewer medical disputes. Thus, improving patient satisfaction should be a key driver in improving doctor-patient relationships. Therefore, this study proposes the following hypotheses. H7: Patient satisfaction positively influences the doctor-patient relationship.

2.3. Relationship between Trust and Doctor-Patient Relationship

Trust is defined as a party’s willingness to be vulnerable to the actions of another party based on the expectation that that other party will perform a particular action that is important to the trustor, irrespective of the ability to monitor or control that other party [31]. Given the credence product feature of healthcare services, patients must face uncertainties. Thus, trust matters in healthcare. In the online health services context, Mou et al. [24] confirmed that patients are more likely to perceive potential of benefits only if the online health information provider is trusted as reliable and competent. Kessler and Mylod [32] found a significant relationship between patient satisfaction and trust. Patient trust results in positive behavior, such as recommending medical services to relatives and friends, better compliance, and higher service use. An increase in the level of patient trust is likely to improve doctor-patient relationships because patients are more likely to visit again and recommend the doctor to others. In this study, if the patients complain less about the hospital and have more trust in its doctors, the doctor-patient relationship is thus greatly improved. From the foregoing, this study proposes the following hypotheses. H8: Patient satisfaction positively influences the patient’s trust. H9: Patient trust positively influences the doctor-patient relationship.

Based on ECT, this study comes up with the research model shown in Figure 1. To measure different levels of service quality as perceived by patients, including perceived service quality, perceived communication quality, and perceived service attitude, this study also includes control variables, such as age, education, health status, cost to patient, and knowledge.

3. Materials and Methods

3.1. Variables and Measures

Questionnaires were used to validate the conceptual model (Table 1). All of the measured items were extracted from previously published studies: patient expectation was taken from Lin et al. [33]; perceived service quality, perceived communication quality, perceived service attitude, satisfaction, and trust were extracted from Fornell et al. [34]; confirmation was retrieved from Lin et al. [35]; and doctor-patient relationship improvement was adapted from Liang et al. [3]. The questionnaires included responses on a 5-point Likert scale.

3.2. Data Collection

This study provided the questionnaire through a survey platform (Soujump.com) that sent it to many WeChat groups and collected the answers. WeChat is the most popular social platform in China. WeChat had 1.21 billion users till November 2020. WeChat groups are created by WeChat users on the basis of similar interests or for specific purposes. A WeChat group is a group of people who can talk freely to other members in the group, which allows people with common interests to chat with each other. Everyone could be a member of different WeChat groups. Our participants were members from WeChat group.

The questionnaires were sent out from December 1 to December 8, 2020 to 3120 WeChat group users; 412 completed the survey, of which 77 were excluded for assessed inconsistencies. The remaining 335 valid questionnaires (81.3%) were used in this study. Basic respondent information is provided in Table 2.

3.3. Measurement Model

Structural equation modeling is a multivariate analytical method used to assess the consistency of hypothetical models and collected samples with reference to a theory [36–38]. This study adopted structural equation modeling to analyze the hypothetical model. Exploratory factor analysis and confirmatory factor analysis were carried out, followed by reliability and validity tests [39, 40]. The reliability and validity tests were performed using Cronbach’s alpha, composite reliability, and average variance extracted (AVE) [41, 42]. The results provided in Table 3 indicate that the model had good reliability and validity. Cronbach’s alpha was greater than 0.7, composite reliability was larger than 0.7, and AVE was greater than 0.5 [43]. The scale had good discriminant validity because the square root of the AVE of the measured variables was greater than their correlation coefficients [44]. The correlation coefficients are provided in Table 4, which shows that all measurement variables and potential variables had high correlation coefficients. However, the correlation coefficients of the other latent variables were low. This shows that the measurement items are internally consistent and possess good distinction capability [45].

4. Results

4.1. Results of Structural Model Analysis

The results of structural model analysis are shown in Figure 2. Patient expectation did not have a positive influence on confirmation (β = −0.002, t = 0.06); thus, H1 was not supported. Perceived service quality had a positive influence on confirmation (β = 0.320, t = 5.843), confirming H2. Perceived communication quality had a positive effect on confirmation (β = 0.145, t = 3.058), confirming H3. The impact of perceived service attitude on confirmation was significant (β = 0.478, t = 8.088), confirming H4. Patient expectation had a positive influence on satisfaction (β = 0.114, t = 3.040), confirming H5. Confirmation had a positive effect on satisfaction (β = 0.798, t = 25.346), confirming H6. Satisfaction had a positive influence on doctor-patient relationship improvement (β = 0.499, t = 8.556), confirming H7. Satisfaction had a positive effect on trust (β = 0.848, t = 45.227); thus, H8 was supported. Finally, trust had a positive effect on doctor-patient relationship improvement (β = 0.408, t = 6.607), confirming H9. From the results of the analysis of the control variables, this study found that serious disease has a positive effect on satisfaction (β = 0.077, t = 2.190). However, the influence of patient knowledge on patients’ satisfaction is not significant (β = 0.036, t = 1.198).

4.2. Mediator Analysis

This study uses the bootstrap method as a test of the mediating influence of confirmation between perceived service quality and patient satisfaction, the mediating influence of patient satisfaction between patient confirmation and trust and between patient confirmation and doctor-patient relationship improvement, as well as the mediating influence of patient trust between patient satisfaction and doctor-patient relationship improvement. Specifically, this study uses the PROCESS SPSS macro developed by Hayes [46] to test mediation. The bias-corrected method and the percentile method are widely used to test the mediating influence, and the confidence level for the confidence intervals is 95%. The results are shown in Table 5.

Using the mediating influence criterion proposed by Prebensen and Xie [47], this study concludes that patient confirmation acts as a partial mediator between perceived service quality and patient satisfaction; patient confirmation acts as a partial mediator between perceived communication quality and patient satisfaction; and patient confirmation acts as a partial mediator between perceived service attitude and patient satisfaction. Thus, this implies that on the one hand, perceived service quality, perceived communication quality, and perceived service attitude have a positive influence on patient satisfaction; on the contrary, perceived service quality, perceived communication quality, and perceived service attitude affect patient satisfaction through patient confirmation. Furthermore, the results indicate that patient satisfaction acts as a partial mediator between patient confirmation and trust. This implies that on the one hand, patient confirmation has a positive influence on patient trust; however, patient confirmation affects patient trust through patient satisfaction. Further, patient satisfaction also acts as a partial mediator between patient confirmation and improvement in the doctor-patient relationship. This implies that on the one hand, patient confirmation has a positive effect on doctor-patient relationship improvement; on the other hand, patient confirmation affects doctor-patient relationship improvement through patient satisfaction. Finally, patients trust acts as a partial mediator between patient satisfaction and doctor-patient relationship improvement. This implies that on the one hand, patient satisfaction has a positive effect on doctor-patient relationship improvement; on the other hand, patient satisfaction affects doctor-patient relationship improvement through patient trust.

5. Conclusion

5.1. Key Findings

A summary of the research findings is presented in Table 6. First, our results show that patient expectation did not pay a positive role in confirmation with respect to the doctor-patient relationship. One possible explanation for this may be that confirmation is affected by the actual service level of hospital and doctors [48]. If the actual service level reaches the value expected by the patient, that patient will be confirmed; if the actual service level does not meet the expected value, the patient will not be confirmed [49]. Second, our results show that perceived service attitude has largest effect on patient confirmation, followed by perceived service quality and perceived communication quality. ECT suggests that performance has a positive effect on extent of confirmation [50]. This article takes the further step of dividing the performance part of the ECT framework into three dimensions, namely perceived service quality, perceived communication quality, and perceived service attitude, and it finds different intensities of influence on patient confirmation. Third, our results show that patient expectation and confirmation have a positive effect on satisfaction. This conclusion is also reached by Wu et al. [51] under the online impulse buying context. Fourth, patient satisfaction had a positive effect on trust, which further had a positive effect on doctor-patient relationship improvement. This kind of relationship is also proved by Liang et al. [4]. Finally, the mediator results show that patient confirmation acts as a partial mediator between perceived service quality and patient satisfaction, between perceived communication quality and patient satisfaction, and between perceived service attitude and patient satisfaction. Earlier work has shown that confirmation acts as a mediator between performance and satisfaction [52, 53]. This study takes the further step to find that patient satisfaction acts as a partial mediator between patient confirmation and trust and between patient confirmation and doctor-patient relationship improvement. Our results also showed that patient trust acts as a partial mediator between patient satisfaction and doctor-patient relationship. This relationship was also testified to by Zhang et al. [54].

5.2. Theoretical Implications

This study contributes to knowledge of the doctor-patient relationship by examining how patient-perceived levels of service quality affect the doctor-patient relationship and reveal its process. Although many studies have made outstanding contributions to the doctor-patient relationship literature [7, 8], few have explored the influencing factors of the doctor-patient relationship from different perceived service quality perspective. Considering that the doctor-patient relationship is basically affected by the difference between the patient’s expectations and the actual service quality [1, 13]. Clarifying this issue is of great significance for understanding patient expectations and perceptions and improving the hospital’s service quality levels [14]. Therefore, unlike other studies, this study applied the ECT to explain the influence mechanism of the doctor-patient relationship from the perspective of different perceived service quality. The results show that patient expectations did not have a positive effect on confirmation. However, perceived service quality, perceived communication quality, and perceived service attitude have a positive effect on confirmation, which further affects patient satisfaction, patient trust, and the doctor-patient relationship. This study expands the knowledge foundation of how patient expectation confirmation affects patient satisfaction, patient trust, and the doctor-patient relationship.

This study contributes to the sustainable doctor-patient relationships literature by identifying the mediator mechanism between patient perceived service quality and doctor-patient relationships. The literature on the doctor-patient relationship mainly focuses on patients’ satisfaction, patient trust, and doctors’ communication skills, information system usage, attitude, interpersonal skills, explanation of treatment, technical skills, hospital equipment, and clinical competence [55–57]. Unlike other studies, this study find that patient confirmation acts as a partial mediator between perceived service quality and patient satisfaction, between perceived communication quality and patient satisfaction, and between perceived service attitude and patient satisfaction. The results also showed that patient satisfaction acts as a partial mediator between patient confirmation and trust, patient confirmation, and the doctor-patient relationship. Finally, patient trust acts as a partial mediator between patient satisfaction and the doctor-patient relationship. This study expands the research framework of the doctor-patient relationship and enriches the research results about how patient expectation affects the doctor-patient relationship.

5.3. Practical Implications

This study has the following practical implications. First, according to our results, perceived service quality, communication quality and service attitude have a positive effect on patient confirmation, which further affect patient satisfaction, trust, and doctor-patient relationship improvement. Thus, for hospitals and doctors, it is wise to improve doctors’ service quality, communication quality, and service attitudes because these can improve patient confirmation. Furthermore, the research results can provide a reference for hospital-level management, have practical guiding significance for doctor-patient crisis prevention, improve patient satisfaction, and enhance hospital brand image by improving communication methods and service attitudes in the process of consultation. Second, according to our results, patient confirmation positively affects patient satisfaction, which further influence patient trust and doctor-patient relationship improvement. Thus, for hospitals and doctors, it is wise to improve their service, and pay attention to patient confirmation because this will affect patient satisfaction, trust, and, ultimately, the doctor-patient relationship. Besides, through the discussion of the influencing factors of the doctor-patient relationship, it is possible to understand the patient’s actual cognitive state of the doctor-patient relationship, which may serve as a good reference for follow-up research on improvements to the doctor-patient relationship. Finally, the ultimate goal of this article is to explore the influencing factors of the doctor-patient relationship and to call on researchers to foreground this doctor-patient relationship and ultimately establish a harmonious doctor-patient atmosphere.

5.4. Limitations and Future Research

Although this article makes a contribution to the research on the theoretical framework of the doctor-patient relationship, it results are constrained by the following research limitations: First, it may be limited by the research methods of questionnaire surveys, which produce subjective results, and there may be some deviations in the measurement [54]. Future research can use objective data to continue study of the research conclusions. Second, this article explores the factors that influence the doctor-patient relationship from the aspect of ECT and does not consider other potential factors, such as patient characteristics, doctor characteristics, or other similar factors. Future research should expand the theoretical model of influencing factors of the doctor-patient relationship proposed in this article. Finally, this article is a research conclusion drawn in the context of Chinese medical treatment and does not consider geographical differences among its respondents. Therefore, the research conclusions may have limited applicability. Future research can further verify the research conclusion in the Western context and discover potential differences between China and the West.

Data Availability

The underlying data supporting the results of this study can be accessed from the corresponding author.

Conflicts of Interest

The authors declare that there are no conflicts of interest.

Authors’ Contributions

Conceptualization, L. M; theoretical framework and literature review, X. Z.; model analysis, Z.-Y. W.; writing and editing, Z.-Y. W. All authors have read and agreed to the published version of the manuscript.

Acknowledgments

This research was funded by the National Office for Philosophy and Social Sciences of China (No. 21AZD022), the Social Science Planning Project of Shandong Province (20CJJJ21 and 19CDNJ06), the Shandong Social Science Popularization and Application Research Project (2020-SKZZ-67), the Shandong Province Statistical Research Project (KT1920), and the 2022 Shandong Statistical Scientific Research Project (KT020).

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Copyright © 2022 Zhan-You Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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