Background: Internet hospitals show great potential for adequately fulfilling people’s demands for high-quality outpatient services, and with the normalization of the epidemic prevention and control of COVID-19, internet hospitals play an increasingly important role in delivering health services to the public. However, the factors that influence patients’ intention to use the online inquiry services provided by internet hospitals remain unclear. Understanding the patients’ behavioral intention is necessary to support the development of internet hospitals in China and promote patients’ intention to use online inquiry services provided by internet hospitals during the prevention and control of the COVID-19 epidemic. Objective: The purpose of this study is to identify the determinants of patients’ intention to use the online inquiry services provided by internet hospitals based on the theory of planned behavior (TPB). Methods: The hypotheses of our research model were developed based on the TPB. A questionnaire was developed through patient interviews, verified using a presurvey, and used for data collection for this study. The cluster sampling technique was used to include respondents with chronic diseases. Structural equation modeling was used to test the research hypotheses. Results: A total of 638 valid responses were received from patients with chronic diseases. The goodness-of-fit indexes corroborated that the research model was a good fit for the collected data. The model explained 45.9% of the variance in attitude toward the behavior and 60.5% of the variance in behavioral intention. Perceived behavioral control and perceived severity of disease had the strongest total effects on behavioral intention (β=.624, P=.004 and β=.544, P=.003, respectively). Moreover, perceived convenience, perceived information risk, emotional preference, and health consciousness had indirect effects on behavioral intention, and these effects were mediated by attitude toward the behavior. Among the four constructs, perceived convenience had the highest indirect effect on behavioral intention (β=.207; P=.001). Conclusions: Perceived behavioral control and perceived severity of disease are the most important determinants of patients’ intention to use the online inquiry services provided by internet hospitals. Therefore, internet hospitals should further optimize the design of online service delivery and ensure a reasonable assembly of high-quality experts, which will benefit the promotion of patients’ adoption intention toward online inquiry services for health purposes. Perceived convenience, emotional preference, and perceived risks also have effects on behavioral intention. Therefore, the relevant quality control standards and regulations for internet hospitals should be further developed and improved, and the measures to protect personal information should be strengthened to ensure the patient safety. Our study supports the use of the TPB in explaining patients’ intention to use online inquiry services provided by internet hospitals.

Background: Existing patient safety culture assessment tools are mostly developed in western countries and may not be suitable for Chinese primary health care institutions. Primary care plays an important role in China’s medical system, and a targeted tool for its patient safety culture is urgently needed. Objective: The aim of the study was to develop a dependable instrument to assess the patient safety culture in Chinese primary health care institutions. Methods: Three phases were undertaken to develop the scale. The first phase developed a pilot scale by literature review, focus groups, and 2-round Delphi expert consultation. The second phase conducted a pilot survey. The third phase carried out a formal survey to test reliability and validity, involving 369 participants from 9 primary health care institutions. Results: The final scale included 32 items under 7 dimensions. For reliability, the Cronbach α coefficients among dimensions varied from 0.754 to 0.926, and the Cronbach α for the scale was 0.940. For content validity, the corrected item-level content validity varied between 0.64 and 1, the scale-level content validity index/universal agreement was 0.625, and the scale-level content validity index/average was 0.93. For construct validity, the Spearman correlations of dimension-total score varied between 0.129 and 0.851, all Spearman correlations of the dimension-total score were greater than that of interdimensions and the Spearman correlations of item-total score ranged from 0.042 to 0.775. The results of the confirmatory factor analysis indicated that the model fitted well. Conclusions: The Patient Safety Culture Scale for Chinese primary health care institutions demonstrated good reliability and acceptable validity; thus, it can be used as an assessment instrument for patient safety culture in Chinese primary health care institutions.

Background: Artificial intelligence-assisted conversational agents have been applied and developed in outpatient departments to improve health services in China. However, there has been little research that evaluates the effect of artificial intelligence-assisted conversational agents on the patient experience related to physicians during outpatient visits. Objective: This study aimed to examine whether the use of artificial intelligence-assisted conversational agents improves the patient experience related to physicians during outpatient visits and to further find out the difference in the patient experience between conversational agent users and nonusers. Methods: We used the Chinese Outpatient Experience Questionnaire to survey the patient experience related to physicians during outpatient visits. A sample of 394 adult residents who sought outpatient services from tertiary public hospitals in China was selected by random sampling. The t tests were used to test the mean difference in the patient experience scores between conversational agent users and nonusers. Multiple linear regression analysis was further performed to determine whether the use of artificial intelligence-assisted conversational agents during outpatient visits was associated with a better patient experience related to physicians. Results: Conversational agent users reported significantly higher scores than nonusers in the total patient experience scores (t₃₉₂=5.589, P<.001), the 19 items and 4 dimensions of physician-patient communication (t₃₉₂=5.013, P=.006), health information (t₃₉₂=5.758, P<.001), short-term outcome (t₃₉₂=4.608, P<.001) and general satisfaction (t₃₉₂=5.080, P<.001). Multiple linear regression results further showed that after controlling for other factors on participant characteristics, the use of artificial intelligence-assisted conversational agents during outpatient visits significantly influenced the total patient experience scores related to physicians (B=0.298, P=.01). And the use of artificial intelligence-assisted conversational agents averagely increased the total patient experience scores related to physicians during outpatient visits by 7.51% (0.298/3.97). Conclusions: The use of artificial intelligence-assisted conversational agents could improve the patient experience related to physicians during outpatient visits, especially in terms of making physician-patient communication better, accessing more targeted health information, ameliorating short-term outcomes, and increasing general satisfaction. Therefore, we suggest that public hospitals should consider the benefits of the artificial intelligence-assisted conversational agents and actively deploy the conversational agents in outpatient departments so as to continuously improve the patient experience related to physicians during outpatient visits.

Background: Increasing attention is being paid to improve the quality of life of patients with rare diseases in China. However, we are currently unaware of the problems encountered in the medical services of rare diseases from the viewpoints of doctors and patients. This study addressed the differences in the perceived barriers of diagnosis and treatments for rare diseases between doctors and patients in China. Methods: Two independent cross-sectional surveys on the perception of Chinese doctors’ and patients’ experiences with rare diseases were launched online between January and February 2018. A non-probability, convenience sampling method was employed to recruit participants. Results: In all, 45 rare diseases were reported by 139 doctors and 1853 patients. Patients with rare diseases faced significantly more difficulties in receiving accurate diagnosis (72.0%) and accessing information related to diagnosis and treatment (77.3%) as compared with doctors (34.5% and 40.3%, p < 0.0001, respectively). Specially, patients felt more difficulties than doctors in obtaining sustainable treatment for rare diseases (84.3% vs. 49.6%, p < 0.001). A higher percentage of patients (58.7%) than that of doctors (39.1%) had concerns in terms of the affordability of drugs. Further, 66.3% patients claimed that the drugs used to treat their conditions were not covered by their current medical insurances, whereas only 21.6% for doctors (p < 0.0001). Moreover, 35.3% of doctors responded that they recommended patients to visit the specialist they knew or were acquainted with, whereas 30.0% of patients said that their doctors chose to treat them based on their past experiences (p < 0.001). Conclusion: The perceived experience of patients with regard to diagnosis and treatment was significantly different from that of doctors. An integrated medical service platform should be established to facilitate better communication and mutual understanding of rare diseases between patients and doctors.

Background: Physician dissatisfaction with more time spent on related paperwork but less time available for direct interaction with patients is increasing internationally. Increased physician workload resulting from paperwork might negatively affect their interaction with patients and increase the risk for burnout. This study aimed to investigate the level of physician workload tethered to paperwork during outpatient encounters and explore its latent workload subgroups among Chinese physicians.Methods: A cross-sectional survey was conducted via online questionnaire primarily in 24 hospitals in 6 provinces in Eastern, Central, and Western China from November 2020 to February 2021. The Chinese physician mental workload scale developed by our research team was used for assessment of physician workload tethered to paperwork. Physicians were categorized into different subgroups of workload via latent profile analysis. Multinomial logistic regression was subsequently performed to examine how demographic variables differ among physicians belonging to different subgroups.Results: A total of 1,934 valid questionnaires were received. Chinese physicians reported medium levels of workload while performing non-physician-patient communication work tasks characterized by paperwork during outpatient encounters. Four latent workload subgroups were identified: “low workload group” (8.8%), “medium workload group” (34.0%), “high workload group” (42.1%) and “very high workload group” (15.1%). Compared with the other latent workload subgroups, physicians belonging to the “very high workload group” were more likely to be younger, married, those who had worse health status, lower educational levels and lower average monthly incomes, those who worked more years in the current institution, more hours per week and longer outpatient hours per week, and those who worked in public general hospitals, tertiary B hospitals and Obstetrics and Gynecology, and saw more than 50 outpatients per day, with more time spent on per patient.Conclusions: There exit four latent workload subgroups among Chinese physicians tethered to paperwork during outpatient encounters along with great individual variations among these subgroups. The characteristics of the latent “very high workload group” can help permit more targeted guidance for developing interventions with optimized human resource allocation to, in turn, increase the time available for direct interaction with patients, thereby resulting in improved quality of physician-patient interactions and decreased risk for physician burnout.