- Open Access
Doctor-patient relationship improved during COVID-19 pandemic, but weakness remains
BMC Family Practice volume 22, Article number: 255 (2021)
To assess the quality of the doctor-patient relationship (DPR) in China and possible influencing factors during the COVID-19 period from the patient’s perspective.
An online survey was carried out nationwide from March 12, 2020 to March 30, 2020 in China via a convenience sampling strategy. Patients who met the inclusion criteria were invited to complete a questionnaire regarding the quality of DPR, including sociodemographic information, the Patient-Doctor Relationship Questionnaire (PDRQ-9), and influencing factors for DPR during the pandemic.
A total of 1903 patients were included. Our result showed that participants had a higher PDRQ-9 score during the COVID-19 pandemic (4.18 ± 0.51) than that before the COVID-19 pandemic (3.86 ± 0.67). Importance-performance analysis (IPA) revealed that doctor-patient communication, patient satisfaction, consultation time, doctor’s attitude, and medical knowledge were specific aspects that needed to be prioritized to improve the DPR. Multiple linear regression analysis suggested that positive media reports, telemedicine, and national policies had a significantly positive effect on the DPR during the pandemic (P < 0.05).
In general, the DPR had been improved during the COVID-19 pandemic. Our research found the key points that needed to be prioritized to improve the DPR during the pandemic, which may provide effective suggestions for building a harmonious DPR in the future.
The doctor-patient relationship (DPR) plays a crucial role in health care, as it is closely associated with treatment adherence, patient satisfaction, and treatment outcome [1,2,3,4]. A good DPR is a determinant for patient satisfaction and a better clinical outcome, which affects the management of both chronic and acute disease, regardless of sociocultural factors .
It is believed that DPR can be restricted or promoted in different dimensions, i.e., the quality and type, which might affect how both the medical staff and patients view a given medical event . As a special type of social interpersonal relationship shaped and evolved by the environment, DPR is dynamic, and depends on the social and medical situations .
During the past year, with the outbreak and protracted course of the COVID-19 pandemic, the healthcare industry has experienced unprecedented challenges. The disease caused by SARS CoV2 soon spread across many countries  and caused over-whelming challenges in healthcare service delivery globally in many ways [9,10,11,12,13], including limited resources, appropriate priority setting, availability of medical care, isolation of doctors and patients, information sharing, etc., resulting in disproportional psychological  and well-being concerns  on both medical staff and patients. Although the pandemic has posed much pressure on the Chinese healthcare system, it also affected how society views medical workers, with many reports referring to medical workers as heroes or “white angels” [16, 17]. Hence, we may infer that the DPR during the pandemic might have been altered accordingly.
Since the outbreak of COVID-19, the DPR has attracted the public attention in China, which was reflected by increased searches of “COVID-19” and “DPR” in Baidu, a leading search engine in China . Yet, it is unclear what impact the pandemic has on DPR in this country. In clinical practice, DPR is usually measured by patients’ perception , which was regarded as the feedback of medical service quality . Based on the advantages of comparability and external validity of results, quantitative assessment using a validated scale is the most common method to measure doctor-patient interaction . However, to date, there has been few studies using validated scales to assess DPR during the pandemic in China.
Therefore, in the present study, we aim to investigate the impact of COVID-19 pandemic on DPR. We compared patient’ perceptions of DPR before COVID-19 and during COVID-19 by using the patient-doctor relationship questionnaire (PDRQ-9), an instrument for evaluating DPR from patients’ perspective  with excellent reliability and internal consistency . We also aim to examine how patient perceptions of DPR was impacted by multiple contextual factors, such as patient demographic data and changes in healthcare system in response to the pandemic, as well as to identify the key points for improving DPR. Findings of this study may help us to better understand the relationship between doctors and patients, as well as provide suggestions for future medical practice and healthcare policy.
Study design and setting
This cross-sectional, online study was carried out from March 12 to March 30, 2020 in China using convenience sampling methods. We disseminated the study flyer through online communities or social media sites (e.g., WeChat, Weibo, QQ) to enhance our reach to potential interested participants. In addition, we encouraged each enrolled participant to forward our study to their friends, relatives, colleagues, or other potentially eligible individuals. The flyer contained information about the study (including inclusion criteria), three links (versions for medical staff, patients, and general public, respectively) to Questionnaire Star (a professional online survey platform, https://www.wjx.cn), and the contact information of the researchers. Potential interested individuals can participate in the online survey by visiting the corresponding link on the flyer. The first page of link is the study’s ethics approval consent form, which clearly stated the purpose and benefits of the study. Individuals who willing to voluntarily participate after electronic informed consent were invited to complete an anonymous online questionnaire.
The eligibility criteria for patients in this study were as follows: 1) being 18 years or above, 2) native or fluent Chinese speaker, 3) having seen a doctor during the pandemic (including online consultation), and 4) did not engage in medical work.
The primary outcome measure was the patients’ perception of DPR before and during the pandemic, which was quantitatively evaluated using PDRQ-9. The PDRQ-9 is a simple and easy-to-use questionnaire that assesses DPR from the perspective of patients for scientific purposes and in practice to monitor the DPR in medical settings . It has been translated, validated, and used in many countries, including China [23, 24]. This scale consists of 9 questions on a 5-point Likert scale (1 = Strongly disagree to 5 = Strongly agree). In this article, we used the average score and DPR1-DPR9 to represent each item (see Table 2 for details).
Influencing factors shown to be related to DPR from the results of a focus-group discussion, were also included in the online questionnaire. On the afternoon of the 3 March 2020, we conducted a focus-group discussion with 20 available participants (12 patients and 8 medical staff) in the meeting room of Second Xiangya Hospital. To fulfil the principle of diversity, we purposively selected patients and medical staff from different wards. The discussion was guided by two questions to collect and integrate information: (1) How they perceived the DPR during the pandemic? (2) What do they think about factors might influence DPR during the pandemic? The discussion lasted 50 min and the content was recorded in detail and summarized into 10 items upon the mentioned frequency, with the options for response were negative influence, no influence, and positive influence. In this article, we used factors 1 to 10 to represent these influencing factors (See Table 3 for details).
Sociodemographic information was also collected and included gender, age, education, occupation, residency, yearly income, medical insurance, type of hospital visited, frequency of face-to-face doctor visits during the pandemic.
Importance-Performance analysis (IPA) is a technique originally developed by Martilla and James to identify management priorities  and has been wide application in various sectors such as education [26, 27], tourism [28, 29], and health care [30, 31]. In this study, we adapted a variant of the traditional IPA as proposed by Yavas et al.  to identify existing problems and find breakpoint to improve DPR from the patient’s perspective. It is presented as a grid divided into four quadrants with performance and relative performance as the axes. The horizontal axis shows the performance of DPR before the pandemic, and the vertical axis shows the performance of DPR during the pandemic. The four quadrants are as follows: Quadrant I, in the top-right corner,is the “advantage area”; Quadrant II, in the top-left corner,is the “maintenance area”; Quadrant III, in the bottom-left corner,is the “opportunity area”; Quadrant IV, in the bottom-right corner,is the “improvement area” . Of most interest are attributes in quadrants III and IV, which indicating that clinicians and decision makers should devote further resources to improve its performance in future.
Data quality control
To ensure the quality of data, we conducted quality control for our sample in addition to our inclusion and exclusion criteria to further flag and exclude untrustworthy responses. A detailed description of the data Quality Control has been presented previously . After scrutinizing the initial data(N = 2000), we excluded 97 responses (52 were eliminated because of uncompleted data, another 35 were excluded because their responses couldn’t be logically verified by the platform, and 10 were excluded as their completion time was shorter than the required minimum time of 3 min), and finally, 1903 data were included for the final analysis.
The data were analyzed using SPSS software. Paired-sample t test was used to compare the DPR before and during the pandemic. Independent-samples t test or one-way ANOVA were used to compare difference in average total score of PDRQ-9 between participants with different demographic characters. IPA model was adopted to analyze patients’ perception of DPR, identify existing problems, and find specific targets to improve DPR. Pearson correlation method and multiple linear regression analysis were used to examine the relationship between DPR and influencing factors. The statistical significance level was set at p < 0.05 (two-sided).
The study consists of 1903 patients. More than half (60.00%) were female, about three quarter (74.20%) had at least a college degree, more than three quarter (83.60%) lived in city, only about a quarter(28.3%) earn more than 100 K a year, more than three quarter (79.6%) thought the cost of medical care had a moderate impact on their family’s economy, more than half(62.4%) never or occasionally visit the doctor online rather than face-to-face, and about three quarter(72%) visited the doctor at the prefecture-level hospitals and above. See more demographic characteristics details in Table 1.
Differences in DPR before and during the pandemic
The results showed that the score of each item and the total average score of the PDRQ-9 before and during the pandemic were at a level of about 4 points, indicating the respondents generally believed that the DPR in China was at a good level. Paired-sample t test revealed significant differences in scores of almost all the items (except DPR7) and the average total score before and during COVID-19 (P < 0.05), indicating that the respondents believed that the DPR during the pandemic was better than before the pandemic (Table 2).
Importance-performance analysis (IPA)
According to the values obtained in Table 1, the IPA representation was performed in Fig. 1. It can be observed that DPR1, DPR3, and DPR5 fell in Quadrant I (“advantage area”), indicating high quality both before and during the pandemic. DPR4 fell in Quadrant II (“maintain area”), which indicated high score during the pandemic but relatively low score before the pandemic. Therefore, keeping these items of Quadrant I and Quadrant II stable can be beneficial. DPR2, DPR6, and DPR9 fell in Quadrant III (“opportunity area”), indicating low scores both before and during the pandemic. However, it does not mean we can neglect the items in this area; instead, special attention needs to be paid on the cause analysis and breakout points should be identified to improve DPR. DPR7 and DPR8 fell in Quadrant IV (“improvement area”), indicating high scores before the pandemic but low scores during the pandemic; this implies that immediate action was needed to improve the present situation (see Fig. 1).
Influencing factors of DPR during the pandemic
Independent sample t test and one-way ANOVA revealed that there was no significant difference in average total score of PDRQ-9 between participants with different demographic characters during the pandemic (Table 1).
Pearson correlation analysis showed significantly positive correlation between the mean value of DPR and factors 1, 3, 4, 5, 7, 8, 9, and 10 (Table 3). Further multiple linear regression analysis showed that factor 3 (positive media reports on medical staff), factor 9 (free online consultations, psychological hotlines, and other activities), and factor 10 (free treatment for confirmed and suspected COVID-19 patients) had a significantly positive effect on DPR (P < 0.05) (Table 4).
In this study, we compared the quality of DPR before and during the pandemic and explored possible influencing factors that affect DPR during COVID-19 from the perspective of patients. Our findings revealed that respondents were optimistic about the DPR in China and reported an improved DPR during the pandemic. We also found that positive media reports, telemedicine, and medical policies significantly and positively affected the DPR during the pandemic. Furthermore, it was also found that doctor-patient communication, patient satisfaction, consultation time, doctor’s attitude and medical knowledge were specific aspects that needed to be prioritized to improve DPR in the future.
Respondents reported a better DPR in the present study, which was consistent with mainstream media coverage during the outbreak. According to our results, the improvement of DPR is mainly attributed to three factors, i.e., medical policies, positive media reports, and telemedicine. To respond to the COVID-19 pandemic, the Chinese government has taken nationwide and comprehensive measures . One of the main actions taken by the government was free medical observation and treatment for confirmed cases, suspected cases, and close contacts . This action helped form a firm doctor-patient relationship and reduce suspicion and mistrust between both sides. The media also played an important role at different levels in mobilizing public participation, shaping public sentiment, and improving awareness . In the fight against the pandemic, many reports referred to Chinese medical staff as heroes and praised their hard work through media [16, 17]. This enhanced public understanding and support of medical staff, which in turn improved the DPR. Moreover, in the face of COVID-19, telemedicine demonstrated substantial benefits by providing effective consultations, remote patient monitoring, and prevention and treatment guidance for both the public and medical staff without transferring to physical location [38, 39]. During the pandemic in China, a multimodal telemedicine network combing smartphone APPs, 5G services, and existing telemedicine systems was activated immediately , and several types of online health services have been provided for people in need [41, 42]. The above measures were proved acceptable, feasible, and effective to improve health care outcomes and DPR in China. In line with our findings, Xu et al. claimed that free medical care, treatment equality, mutual understanding and cooperation, effective and informative communication, positive media reports lead to a harmonious DPR in mobile cabin hospitals during the COVID-19 in China . However, according to a survey of DXY forum, only 13.94% of people believe that the COVID-19 situation could improve the DPR in China , which was inconsistent with our findings. A possible explanation for this discrepancy might be differences in participants, methods, and tools. DXY is a medical website with most users being young medical staff, while the participants of our study are patients. In addition, we used PDRQ-9 scale to quantitatively evaluate DPR while the DXY survey used only one question.
In Western studies, there are some different voices in the assessment of DPR during the pandemic. Similar to our study, general practitioners in Italy experienced an improvement of DPR during the early stage of the COVID-19 pandemic in terms of patient understanding, compliance, and solidarity . In the US, many patients expressed positive feelings towards medical service providers and had a better understanding of the evolving field of healthcare facing the challenges . However, Roubille et al. claimed that confidence vanished or impaired with accumulated distrust due to COVID-19 . A possible reason for the inconsistencies is a combination of economic, political, social, and cultural differences. There is a need for cross-cultural and cross-setting studies to explore this complex topic.
Another strength of this study was that the IPA analysis revealed specific priorities for improving the DPR, which were mainly items fell in Quadrant III and Quadrant IV. Items regarding communication and patient satisfaction fell in Quadrant IV (“concentrate here”), indicating that these aspects were in urgent need for improvement and needed attention and intervention from clinicians and policymakers. Effective communication is essential for medical practice and DPR , and patient satisfaction may influence treatment compliance, continuity, and communication between doctors and patients . During the pandemic, strict preventive measures such as lock-down, face mask and personal protective equipment were used, which created obstacles for effective doctor-patient communication [49, 50] and posed direct impact on both patients and doctors [50, 51]. Hence, when speaking to patients, doctors need to use patient-centered strategy with clear language , as well as eye contact, body gestures and movements , to improve patients’ confidence and build a doctor-patient rapport.
Three items fell into Quadrant III (“low priority”). Among them, consultation time ranked last both before and during the pandemic, indicating that the current consultation time was inadequate from the patient’s perspective. Qiao et al. found that shorter consultation time could negatively affect the DPR . Cape and Mohd also found that shorter communication with doctor is a common cause of patient dissatisfaction [54, 55]. In China, the bed-to-nurse ratio is far below the level set by the Ministry of Health, and the workload of medical staff is so heavy that the time allotted to each patient is significantly reduced. Previous study showed that the consultation time in Chinese provincial hospital is only about 3–5 min . Therefore, trying to reduce the workload of doctors and ensure adequate time for consultation will be effective to improve DPR. The doctor’s attitude is also an important factor for DPR. According to some patients, an open and friendly attitude of the doctor makes them feel respected and valued; they also expect close attention and enough time from their doctors . This suggests that doctor’s understanding of doctor-patient communication should not be limited to the length of time but also the attitude and overall quality. It is worth noting that the item 6 (medical knowledge) showed low scores both before and during the pandemic. This might be related to the information asymmetry, which led to misunderstandings and disharmony between doctors and patients . From this perspective, approaches such as medical education  and shared decision-making  are required to narrow the information gap between doctors and patients.
The present study has important implications for the future of medical services in China. For example, better medical education for both patients and medical professionals can help improve medical services delivery to patients , as well as promote public awareness of the current crisis. This may help stabilize public sentiment in the face of uncertainty and maintain social trust . Regular updates of information about COVID-19 and latest policies and services can also promote trust between patients, doctors, and healthcare administrators. Media portrayal of doctors during the pandemic are crucial for the public perception of doctors, which may affect DPR directly. Moreover, DPR can also be affected by other factors such as healthcare system and administration, culture, and financial management medical sectors . With all the above measures, medical services will be improved nationally during the pandemic and the public better prepared for the crises .
There are some limitations that should be mentioned. First, due to the nature of the questionnaire and the sampling method, selection bias cannot be ignored. With the use of the convenient online sampling strategy, the population included in this study might not be able to reflect the general population. Second, the measurement of DPR before and during the COVID-19 pandemic were evaluated with the same questionnaire and was based on patients’ self-reports, which may lead to a recall bias. Third, the data disclosed in a previous article might induce over representatives . Four, due to the cultural circle and the specificity of the social relationship between doctors and patients in China, the results of this study cannot be extrapolated to other parts of the world. Therefore, further studies are needed to confirm the impact of COVID-19 on DPR in cross-cultural contexts. As the impacts of medical policies and media on social attitudes still remain unknown, these results should be interpreted with caution. In addition, there are some other factors (such as equal health services and social discrimination) that may affect DPR and need to be verified in follow-up studies.
In conclusion, this study investigated and compared the doctor-patient relationship before and during COVID-19 from the patient’s perspective. We have identified the main factors leading to better DPR during the pandemic and key points that need to be prioritized for improvement. Our findings may help us better understand the doctor-patient relationship and provide a reference for building a harmonious doctor-patient relationship in the future.
Availability of data and materials
The data is available from the corresponding author on reasonable request and subject to Ethics Board approval.
Novel coronavirus disease 2019
Patient-doctor relationship questionnaire
Martin DJ, Garske JP, Davis MK. Relation of the therapeutic alliance with outcome and other variables: a meta-analytic review. J Consult Clin Psychol. 2000;68(3):438–50 PMID: 10883561.
Fuertes JN, Mislowack A, Bennett J, Paul L, Gilbert TC, Fontan G, et al. The physician-patient working alliance. Patient Educ Couns. 2007;66(1):29–36. https://doi.org/10.1016/j.pec.2006.09.013.
Thompson L, McCabe R. The effect of clinician-patient alliance and communication on treatment adherence in mental health care: a systematic review. BMC Psychiatry. 2012;12:87. https://doi.org/10.1186/1471-244x-12-87.
Ferreira PH, Ferreira ML, Maher CG, Refshauge KM, Latimer J, Adams RD. The therapeutic alliance between clinicians and patients predicts outcome in chronic low back pain. Phys Ther. 2013;93(4):470–8. https://doi.org/10.2522/ptj.20120137.
Shrivastava SR, Shrivastava PS, Ramasamy J. Exploring the dimensions of doctor-patient relationship in clinical practice in hospital settings. Int J Health Policy Manag. 2014;2(4):159–60. https://doi.org/10.15171/ijhpm.2014.40.
Welch SJ. Twenty years of patient satisfaction research applied to the emergency department: a qualitative review. Am J Med Qual. 2010;25(1):64–72. https://doi.org/10.1177/1062860609352536.
Szasz TS, Knoff WF, Hollender MH. The doctor-patient relationship and its historical context. Am J Psychiatry. 1958;115(6):522–8. https://doi.org/10.1176/ajp.115.6.522.
He F, Deng Y, Li W. Coronavirus disease 2019: what we know? J Med Virol. 2020;92(7):719–25.
Baiyewu O, Elugbadebo O, Oshodi Y. Burden of COVID-19 on mental health of older adults in a fragile healthcare system: the case of Nigeria: dealing with inequalities and inadequacies. Int Psychogeriatr. 2020;32(10):1181–5. https://doi.org/10.1017/s1041610220001726.
Lucero-Prisno DE, Essar MY, Ahmadi A, Lin X, Adebisi YA. Conflict and COVID-19: a double burden for Afghanistan’s healthcare system. Confl Heal. 2020;14(1):1–3. https://doi.org/10.1186/s13031-020-00312-x.
Alwan NA. Surveillance is underestimating the burden of the COVID-19 pandemic. Lancet. 2020;396(10252):e24. https://doi.org/10.1016/S0140-6736(20)31823-7.
Miller IF, Becker AD, Grenfell BT, Metcalf CJE. Disease and healthcare burden of COVID-19 in the United States. Nat Med. 2020;26(8):1212–7. https://doi.org/10.1038/s41591-020-0952-y.
Yang J, Chen X, Deng X, Chen Z, Gong H, Yan H, et al. Disease burden and clinical severity of the first pandemic wave of COVID-19 in Wuhan, China. Nat Commun. 2020;11(1):1–10. https://doi.org/10.1038/s41467-020-19238-2.
Zhang J, Lu H, Zeng H, Zhang S, Du Q, Jiang T, et al. The differential psychological distress of populations affected by the COVID-19 pandemic. Brain Behav Immun. 2020;87:49. https://doi.org/10.1016/j.bbi.2020.04.031.
Parsons Leigh J, Fiest K, Brundin-Mather R, Plotnikoff K, Soo A, Sypes EE, et al. A national cross-sectional survey of public perceptions of the COVID-19 pandemic: self-reported beliefs, knowledge, and behaviors. PLoS One. 2020;15(10):e0241259. https://doi.org/10.1371/journal.pone.0241259.
Jiang L, Broome ME, Ning C. The performance and professionalism of nurses in the fight against the new outbreak of COVID-19 epidemic is laudable. Int J Nurs Stud. 2020;107:103578. https://doi.org/10.1016/j.ijnurstu.2020.103578.
Gan Y, Chen Y, Wang C, Latkin C, Hall BJ. The fight against COVID-19 and the restoration of trust in Chinese medical professionals. Asian J Psychiatr. 2020;51:102072. https://doi.org/10.1016/j.ajp.2020.102072.
Gao B, Dong J. Does the impact of COVID-19 improve the doctor-patient relationship in China? Am J Med Sci. 2020;360(3):305–6. https://doi.org/10.1016/j.amjms.2020.05.039.
Eveleigh RM, Muskens E, van Ravesteijn H, van Dijk I, van Rijswijk E, Lucassen P. An overview of 19 instruments assessing the doctor-patient relationship: different models or concepts are used. J Clin Epidemiol. 2012;65(1):10–5. https://doi.org/10.1016/j.jclinepi.2011.05.011.
Elwyn G, Buetow S, Hibbard J, Wensing M. Measuring quality through performance. Respecting the subjective: quality measurement from the patient's perspective. Bmj. 2007;335(7628):1021–2. https://doi.org/10.1136/bmj.39339.490301.AD.
Greenhalgh T, Heath I. Measuring quality in the therapeutic relationship--part 1: objective approaches. Qual Saf Health Care. 2010;19(6):475–8. https://doi.org/10.1136/qshc.2010.043364.
Van der Feltz-Cornelis CM, Van Oppen P, Van Marwijk HW, De Beurs E, Van Dyck R. A patient-doctor relationship questionnaire (PDRQ-9) in primary care: development and psychometric evaluation. Gen Hosp Psychiatry. 2004;26(2):115–20. https://doi.org/10.1016/j.genhosppsych.2003.08.010.
Wu H, Zhao X, Fritzsche K, Leonhart R, Schaefert R, Sun X, et al. Quality of doctor-patient relationship in patients with high somatic symptom severity in China. Complement Ther Med. 2015;23(1):23–31. https://doi.org/10.1016/j.ctim.2014.12.006.
Qiao T, Fan Y, Geater AF, Chongsuvivatwong V, McNeil EB. Factors associated with the doctor-patient relationship: doctor and patient perspectives in hospital outpatient clinics of Inner Mongolia Autonomous Region, China. Patient Prefer Adherence. 2019;13:1125–43. https://doi.org/10.2147/ppa.S189345.
Martilla JA, James JC. Importance-performance analysis. J Mark. 1977;41(1):77–9. https://doi.org/10.1177/002224297704100112.
Jodice LW, Norman WC. Comparing importance and confidence for production and source attributes of seafood among residents and tourists in South Carolina and Florida coastal communities. Appetite. 2020;146:104510. https://doi.org/10.1016/j.appet.2019.104510.
Hong Y, Cai G, Mo Z, et al. The impact of COVID-19 on tourist satisfaction with B&B in Zhejiang, China: an importance-performance analysis. Int J Environ Res Public Health. 2020;17(10):3747. Published 2020 May 25. https://doi.org/10.3390/ijerph17103747.
Kinnaer LM, Nelis M, Van Hecke A, Foulon V. Patient-centered care coordination, education and counseling of patients treated with oral anticancer drugs: an importance-performance analysis. Eur J Oncol Nurs. 2020;47:101765. https://doi.org/10.1016/j.ejon.2020.101765.
Park EA, Chae IS, Jo MN. Importance-performance analysis (IPA) of foodservice operation, dietary life education, and nutrition counseling tasks of nutrition teachers and dietitians in Jeju, Korea. Nutrients. 2017;9(10):1157. https://doi.org/10.3390/nu9101157.
Lee SM, So WY, Youn HS. Importance-performance analysis of health perception among Korean adolescents during the COVID-19 pandemic. Int J Environ Res Public Health. 2021;18(3):1280. https://doi.org/10.3390/ijerph18031280.
Rau HH, Wu YS, Chu CM, et al. Metadata correction: importance-performance analysis of personal health Records in Taiwan: a web-based survey. J Med Internet Res. 2017;19(6):e209. https://doi.org/10.2196/jmir.7944.
Yavas U, Shemwell DJ. Modified importance-performance analysis: an application to hospitals. Int J Health Care Qual Assur Inc Leadersh Health Serv. 2001;14(2–3):104–10. https://doi.org/10.1108/09526860110391568.
Zhao Z, Gan H, Qian X, Leng J, Wang Y, Wu P. Riverside greenway in urban environment: Residents' perception and use of greenways along the Huangpu River in Shanghai, China. Int J Environ Res Public Health. 2021;18(3):1120. https://doi.org/10.3390/ijerph18031120.
Zhou Y, Chen S, Liao Y, Wu Q, Ma Y, Wang D, et al. General perception of doctor-patient relationship from patients during the COVID-19 pandemic in China: a cross-sectional study. Front Public Health. 2021;9:646486. https://doi.org/10.3389/fpubh.2021.646486.
Liu W, Yue XG, Tchounwou PB. Response to the COVID-19 epidemic: the Chinese experience and implications for other countries. Int J Environ Res Public Health. 2020;17(7). https://doi.org/10.3390/ijerph17072304.
Semenov A, Pshenichnaya NY. Born in Wuhan: lessons from COVID-19 epidemic in China. Russian J Infect Immun. 2020;10(2). https://doi.org/10.15789/2220-7619-BIW-1453.
Liu S, Dai L, Xu J. Tell health stories comprehensively and accurately: a case study of health edition of People's daily. Int J Nurs Sci. 2020;7(Suppl 1):S46–s51. https://doi.org/10.1016/j.ijnss.2020.07.005.
Song X, Liu X, Wang C. The role of telemedicine during the COVID-19 epidemic in China-experience from Shandong province. Crit Care. 2020;24(1):178. https://doi.org/10.1186/s13054-020-02884-9.
Xu H, Huang S, Qiu C, et al. Monitoring and Management of Home-Quarantined Patients with COVID-19 using a WeChat-based telemedicine system: retrospective cohort study. J Med Internet Res. 2020;22(7):e19514. https://doi.org/10.2196/19514.
Hong Z, Li N, Li D, Li J, Li B, Xiong W, et al. Telemedicine during the COVID-19 pandemic: experiences from Western China. J Med Internet Res. 2020;22(5):e19577. https://doi.org/10.2196/19577.
Liu S, Yang L, Zhang C, Xiang YT, Liu Z, Hu S, et al. Online mental health services in China during the COVID-19 outbreak. Lancet Psychiatry. 2020;7(4):e17–8. https://doi.org/10.1016/s2215-0366(20)30077-8.
Chen Q, Liang M, Li Y, Guo J, Fei D, Wang L, et al. Mental health care for medical staff in China during the COVID-19 outbreak. Lancet Psychiatry. 2020;7(4):e15–6. https://doi.org/10.1016/s2215-0366(20)30078-x.
Xu ZP, Zhang JJ, Yan N, Yingying H. Treatment equality may Lead to harmonious patient-doctor relationship during COVID-19 in Mobile cabin hospitals. Front Public Health. 2021;9:557646. https://doi.org/10.3389/fpubh.2021.557646.
Kurotschka PK, Serafini A, Demontis M, Serafini A, Mereu A, Moro MF, et al. General Practitioners' experiences during the first phase of the COVID-19 pandemic in Italy: a critical incident technique study. Front Public Health. 2021;9:623904. https://doi.org/10.3389/fpubh.2021.623904.
Aguirre S, Jogerst KM, Ginsberg Z, Voleti S, Bhullar P, Spegman J, et al. COVID-19 impact on the doctor-patient relationship: patient perspectives on emergency physician empathy and communication. Bull Emerg Trauma. 2021;9(3):125–32. https://doi.org/10.30476/BEAT.2021.89058.1216.
Roubille C, Ribstein J, Hurpin G, Fesler P, Fiat E, Roubille F. Confidence vanished or impaired until distrust in the doctor-patient relationship because of COVID-19: confidence vanished or impaired until distrust: "COVID" in relationship. Rev Med Int. 2021;42(1):58–60. https://doi.org/10.1016/j.revmed.2020.10.007.
Singh M. Communication as a bridge to build a sound doctor-patient/parent relationship. Indian J Pediatr. 2016;83(1):33–7. https://doi.org/10.1007/s12098-015-1853-9.
Fenton JJ, Jerant AF, Bertakis KD, Franks P. The cost of satisfaction: a national study of patient satisfaction, health care utilization, expenditures, and mortality. Arch Intern Med. 2012;172(5):405–11. https://doi.org/10.1001/archinternmed.2011.1662.
Gopichandran V, Sakthivel K. Doctor-patient communication and trust in doctors during COVID 19 times-a cross sectional study in Chennai, India. PLoS One. 2021;16(6):e0253497. https://doi.org/10.1371/journal.pone.0253497.
McNairy M, Bullington B, Bloom-Feshbach K. Searching for human connectedness during COVID-19. J Gen Intern Med. 2020;35(10):3043–4. https://doi.org/10.1007/s11606-020-06082-9.
Desideri I, Francolini G, Ciccone LP, Stocchi G, Salvestrini V, Aquilano M, et al. Impact of COVID-19 on patient-doctor interaction in a complex radiation therapy facility. Support Care Cancer. 2021;29(6):2931–7. https://doi.org/10.1007/s00520-020-05793-3.
Rossi AA, Marconi M, Taccini F, Verusio C, Mannarini S. From fear to hopelessness: the buffering effect of patient-centered communication in a sample of oncological patients during COVID-19. Behav Sci (Basel). 2021;11(6). https://doi.org/10.3390/bs11060087.
Kaul P, Choudhary D, Garg PK. Deciphering the optimum doctor-patient communication strategy during COVID-19 pandemic. Indian J Surg Oncol. 2021:1–2. https://doi.org/10.1007/s13193-021-01301-z.
Cape J. Consultation length, patient-estimated consultation length, and satisfaction with the consultation. Br J Gen Pract. 2002;52(485):1004–6.
Mohd A, Chakravarty A. Patient satisfaction with services of the outpatient department. Med J Armed Forces India. 2014;70(3):237–42. https://doi.org/10.1016/j.mjafi.2013.06.010.
Berkelmans PG, Berendsen AJ, Verhaak PF, van der Meer K. Characteristics of general practice care: what do senior citizens value? A qualitative study. BMC Geriatr. 2010;10:80. https://doi.org/10.1186/1471-2318-10-80.
Qirong Q, Jie Z, Qicheng J. Review on the information dissymmetry in the Relationship Between medical care providers and patients in ethics opinion. Chin Med Ethics. 2005;1:16-8.
Pétré B, Servotte JC, Piazza J, Ghuysen A, Margat A, Gagnayre R, et al. CEdRIC: strategy for patient education during COVID-19 triage. West J Emerg Med. 2020;21(6):52–60. https://doi.org/10.5811/westjem.2020.7.47907.
Jimbo M, Gorin SS, Kelly-Blake K. Shared Decision Making's Consequences. Health Aff (Millwood). 2020;39(3):537. https://doi.org/10.1377/hlthaff.2019.01783.
Wartman SA. The empirical challenge of 21st-century medical education. Acad Med. 2019;94(10):1412–5. https://doi.org/10.1097/ACM.0000000000002866.
Zhong Y, Liu W, Lee TY, Zhao H, Ji J. Risk perception, knowledge, information sources and emotional states among COVID-19 patients in Wuhan, China. Nurs Outlook. 2020. https://doi.org/10.1016/j.outlook.2020.08.005.
Noseworthy J. The Future of Care — Preserving the Patient–Physician Relationship. N Engl J Med. 2019;381(23):2265–9. https://doi.org/10.1056/NEJMsr1912662.
Wang C, Pan R, Wan X, Tan Y, Xu L, McIntyre RS, et al. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain Behav Immun. 2020;87:40–8. https://doi.org/10.1016/j.bbi.2020.04.028.
This study was supported by the the Science and Technology Bureau, Changsha Project (kq2004106), the Health and Family Planning Commission of Hunan Province Project (B20180484, B20180123), and the Hunan Brain Hospital Project (2017B03).
Ethics approval and consent to participate
The Ethics Committee of the Second Xiangya Hospital of Central South University approved the study (No. LYE2020041). All methods were carried out in accordance with relevant guidelines and regulations.
Electronic informed consent was obtained from each participant.
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The authors declare that they have no competing interest.
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Zhou, Y., Ma, Y., Yang, W.F.Z. et al. Doctor-patient relationship improved during COVID-19 pandemic, but weakness remains. BMC Fam Pract 22, 255 (2021). https://doi.org/10.1186/s12875-021-01600-y
- Doctor-patient relationship
- Importance-performance analysis (IPA)