Confidence vanished or impaired until distrust in the doctor-patient relationship because of COVID-19: Confidence vanished or impaired until distrust: "COVID" in relationship

A repeated cross-sectional pilot study of the relationship between perceived a community with shared future for doctor-patient and benefit finding: the mediating role of health self-consciousness and moderating role of anxiety

OBJECTIVE

Since January 8, 2023, China has managed COVID-19 as a Class-B infectious disease, marking the epidemic's transition to a low-level stage. This study analyzes the relationship between the public's perceived a community with shared future for doctor-patient (PCSF), health self-consciousness, benefit finding, and anxiety in this stage. Additionally, it compares changes in these variables across different stages of COVID-19.

METHODS

Using a repeated cross-sectional design, three surveys were conducted respectively in three different stages of COVID-19 in China. Specifically, the first survey was conducted in Beijing, Dalian, Zhengzhou, Heihe, and Shangrao from November 13 to 20, 2021 in the outbreak stage of COVID-19, yielding 1,252 valid responses out of 1,534 collected questionnaires. The second survey was conducted in Dalian, Zhengzhou, Heihe, Shangrao, and Lanzhou from December 1 to 19, 2021 in the stable stage of COVID-19, with 872 valid responses obtained from 1,075 collected questionnaires. The third survey was conducted in Beijing, Dalian, Zhengzhou, Heihe, Shangrao, Lanzhou, and Chengdu from January 29 to February 4, 2023 in the low epidemic level stage of COVID-19, achieving 2,113 valid responses from the 2,461 questionnaires collected.

RESULTS

Unlike in the outbreak stage but similar to the stable stage, the public's anxiety, health self-consciousness and benefit finding decreased while PCSF was improved in the low epidemic level stage. Consistent with both the outbreak and stable stage, PCSF, health self-consciousness, benefit finding, and anxiety showed positive correlations in the low epidemic level stage, with health self-consciousness partially mediating the positive impact of PCSF on benefit finding. Unlike in the stable stage but similar to the outbreak stage, anxiety did not moderate the relationship between PCSF and health self-consciousness in the low epidemic level stage.

CONCLUSIONS

The public's health self-consciousness, benefit finding, and anxiety decreased, while PCSF increased in the low epidemic level stage. Furthermore, PCSF had a greater impact on benefit finding, and anxiety's impact on health self-consciousness was significantly reduced. Across different stages of COVID-19, PCSF directly increased benefit finding and also enhanced benefit finding by improving health self-consciousness. Thus, comprehensive intervention measures are beneficial in the low epidemic level stage.

Impact Analysis of COVID-19 Pandemic on Hospital Reviews on Dianping Website in Shanghai, China: Empirical Study

BACKGROUND

In the era of the internet, individuals have increasingly accustomed themselves to gathering necessary information and expressing their opinions on public web-based platforms. The health care sector is no exception, as these comments, to a certain extent, influence people's health care decisions. During the onset of the COVID-19 pandemic, how the medical experience of Chinese patients and their evaluations of hospitals have changed remains to be studied. Therefore, we plan to collect patient medical visit data from the internet to reflect the current status of medical relationships under specific circumstances.

OBJECTIVE

This study aims to explore the differences in patient comments across various stages (during, before, and after) of the COVID-19 pandemic, as well as among different types of hospitals (children's hospitals, maternity hospitals, and tumor hospitals). Additionally, by leveraging ChatGPT (OpenAI), the study categorizes the elements of negative hospital evaluations. An analysis is conducted on the acquired data, and potential solutions that could improve patient satisfaction are proposed. This study is intended to assist hospital managers in providing a better experience for patients who are seeking care amid an emergent public health crisis.

METHODS

Selecting the top 50 comprehensive hospitals nationwide and the top specialized hospitals (children's hospitals, tumor hospitals, and maternity hospitals), we collected patient reviews from these hospitals on the Dianping website. Using ChatGPT, we classified the content of negative reviews. Additionally, we conducted statistical analysis using SPSS (IBM Corp) to examine the scoring and composition of negative evaluations.

RESULTS

A total of 30,317 pieces of effective comment information were collected from January 1, 2018, to August 15, 2023, including 7696 pieces of negative comment information. Manual inspection results indicated that ChatGPT had an accuracy rate of 92.05%. The F1-score was 0.914. The analysis of this data revealed a significant correlation between the comments and ratings received by hospitals during the pandemic. Overall, there was a significant increase in average comment scores during the outbreak (P<.001). Furthermore, there were notable differences in the composition of negative comments among different types of hospitals (P<.001). Children's hospitals received sensitive feedback regarding waiting times and treatment effectiveness, while patients at maternity hospitals showed a greater concern for the attitude of health care providers. Patients at tumor hospitals expressed a desire for timely examinations and treatments, especially during the pandemic period.

CONCLUSIONS

The COVID-19 pandemic had some association with patient comment scores. There were variations in the scores and content of comments among different types of specialized hospitals. Using ChatGPT to analyze patient comment content represents an innovative approach for statistically assessing factors contributing to patient dissatisfaction. The findings of this study could provide valuable insights for hospital administrators to foster more harmonious physician-patient relationships and enhance hospital performance during public health emergencies.

A Scoping Review of Changes to Patient-Doctor Communication During COVID-19

Effective communication between patients and doctors is fundamental to high-quality healthcare, patient safety, and overall satisfaction. However, the onset of COVID-19 has prompted significant shifts in communication from in-room and face-to-face interactions to virtual consults. The impact of this pandemic-related change on patient-doctor communication goals, processes, attributes, and environment remains unclear. We undertook a scoping review involving the systematic search of seven academic databases for relevant articles published up to and including June 2021. In total, 47 articles were identified that met the inclusion criteria. We applied the patient-doctor communication framework to guide our deductive thematic analysis of articles included, sorting results from reported studies and position papers into themes and sub-themes. The theme of communication goals highlighted sub-themes related to patient safety, convenience, affordability, and satisfaction; preparation included sub-themes on technology interventions, workforce training, and digital literacy; participant attributes included compassion for doctors and rebuilding trust among patients; and communication process included issues related to telemedicine or video conferencing, challenges with diminished patient privacy, and distractions in the patient's home setting. Finally, the environment theme included insights into doctors' workload, isolation, and anxiety and how changes requiring increases in virtual consults iteratively altered confidence in care provision and communication with patients. Results of the scoping review provide important insights for strengthening virtual patient-doctor interactions, including target areas for training and professional development during and beyond the current pandemic.

'What are you hiding from me?' A qualitative study exploring health consumer attitudes and experiences regarding the patient-led recording of a hospital clinical encounter

OBJECTIVE

Health consumers (patients, their family, friends and carers) are frequently using their smartphones to record hospital clinical encounters. However, there is limited research which has explored the social interaction surrounding this behaviour. Understanding the consumer perspective is key to informing policy and practice. This study explored consumer attitudes and experiences regarding patient-led recordings.

METHODS

Semistructured interviews were undertaken with 20 hospital consumers. Participants were recruited via advertising, posters and invitation letters. Interviews were digitally recorded and transcribed. Data were analysed using thematic analysis.

FINDINGS

Four main themes were identified relating to participant perspectives of patient-led recordings: (1) consumers viewed clinician consent as important, although they reported different experiences of the consent process, (2) consumers indicated that a clinician refusing the recording had the potential to undermine the consumer-clinician relationship, (3) consumers were both uninformed and misinformed regarding relevant policy and legislation and (4) consumers expressed a number of expectations regarding their rights to record and of the health service in supporting this practice.

CONCLUSION

Consumers want to record their clinical encounters with the consent of their clinician but are unprepared to navigate consent discussions. Health services and clinicians should inform consumers who want to record about their rights and responsibilities, to support the consent process and safe recording environments. Clinician refusal to consent to a patient-led recording may not lead to increased covert recording; however, clear communication about the reasons for refusing a recording is needed to protect the consumer-clinician relationship.

PATIENT OR PUBLIC CONTRIBUTION

A health consumer was part of the research team and was involved in all stages of this study, including the design, data analysis and reviewing of the manuscript.

Safety of the utilization of telemedicine for brain tumor neurosurgery follow-up

Background

There is a need to evaluate the outcomes of patients who underwent brain tumor surgery with subsequent telemedicine or in-person follow-up during the COVID-19 pandemic.

Methods

We retrospectively included all patients who underwent surgery for brain tumor resection by a single neurosurgeon at our Institution from the beginning of the COVID-19 pandemic restrictions (March 2020) to August 2021. Outcomes were assessed by stratifying the patients using their preference for follow-up method (telemedicine or in-person).

Results

Three-hundred and eighteen (318) brain tumor patients who were included. The follow-up method of choice was telemedicine (TM) in 185 patients (58.17%), and in-person (IP) consults in 133 patients. We found that patients followed by TM lived significantly farther, with a median of 36.34 miles, compared to a median of 22.23 miles in the IP cohort (P = .0025). We found no statistical difference between the TM and the IP group, when comparing visits to the emergency department (ED) within 30 days after surgery (7.3% vs 6.01%, P = .72). Readmission rates, wound infections, and 30-day mortality were similar in both cohorts. These findings were also consistent after matching cohorts using a propensity score. The percentage of telemedicine follow-up consults was higher in the first semester (73.17%) of the COVID-19 pandemic, compared to the second (46.21%), and third semesters (47.86%).

Conclusions

Telehealth follow-up alternatives may be safely offered to patients after brain tumor surgery, thereby reducing patient burden in those with longer distances to the hospital or special situations as the COVID-19 pandemic.

The Effect of Perceived Organizational Support and Employee Care on Turnover Intention and Work Engagement: A Mediated Moderation Model Using Age in the Post Pandemic Period

The purpose of this study was to adopt the well-established and mature job demands–resources model (JD-R), and to extend its model to work engagement and turnover intention of frontline healthcare personnel. Using the cross-sectional survey and partial least squares path modeling tools, the results showed that perceived organizational support had a negative impact on the turnover intention of frontline healthcare staff. This finding is important because it shows how the medical system managers can buffer the negative impact of a lack of job resources on the work engagement of employees in terms of personal strategies, such as the psychological pressure in coping with a high workload. Compared with employee care, perceived organizational support for the respondents had a positive impact on work engagement, whereas work engagement had a negative impact on turnover intention. This study successfully integrated the literature on job resources, work engagement, and turnover intention to determine the real needs of frontline medical personnel.

Doctor-patient relationship improved during COVID-19 pandemic, but weakness remains

OBJECTIVE

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.

METHODS

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.

RESULTS

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).

CONCLUSION

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.

Analysis of Doctor-Patient Relationship in Post-COVID-19 Period: Perspective Differences Between Citizen and Medical Staff

To evaluate the current views on doctor–patient relationship (DPR) between citizens and medical staff in post-Corona Virus Disease 2019 (COVID-19) period and predict the possible factors of DPR, we distributed questionnaires by a online questionnaire platform--Questionnaire Star (https://www.wjx.cn) to evaluate DPR in post-COVID-19 period. Overall, 312 questionnaires for citizens and 421 questionnaires for medical staff were completed. Citizens felt that service attitude and communication with medical staff, and registering process have been improved. And their trust in doctors has increased by 86.8%. Majority of citizens (66.0%) preferred the tertiary hospitals. If doctor–patient contradictions occurred, 62.9% citizens preferred internal negotiation (with the doctor involved, 44.6%; with hospital management department, 18.3%). There was significant difference of views on the causes of medical violence incidents and the reasons for doctor–patient conflicts in the future between citizens and medical staff. The DPR score of medical staff was lower than citizens at each stage, and even showed a downward tendency in post-COVID-19 period. Furthermore, 20.4% medical staff believed that harmonious DPR would not be maintained, which was distinct from that of the citizens. Combating the COVID-19 provided an important opportunity to improve the DPR. However, unbalanced allocation of high-quality medical resources, gap between the actual treatment efficacy and patient’s expectation, fairness and efficiency issues, financial conflicts, and medical information symmetry were still the influencing factors of DPR.