Comparative outcomes of AI-assisted ChatGPT and face-to-face consultations in infertility patients: a cross-sectional study.

BACKGROUND: With the advent of artificial intelligence (AI) in healthcare, digital platforms like ChatGPT offer innovative alternatives to traditional medical consultations. This study seeks to understand the comparative outcomes of AI-assisted ChatGPT consultations and conventional face-to-face interactions among infertility patients. METHODS: A cross-sectional study was conducted involving 120 infertility patients, split evenly between those consulting via ChatGPT and traditional face-to-face methods. The primary outcomes assessed were patient satisfaction, understanding, and consultation duration. Secondary outcomes included demographic information, clinical history, and subsequent actions post-consultation. RESULTS: While both consultation methods had a median age of 34 years, patients using ChatGPT reported significantly higher satisfaction levels (median 4 out of 5) compared to face-to-face consultations (median 3 out of 5; p < 0.001). The ChatGPT group also experienced shorter consultation durations, with a median difference of 12.5 minutes (p < 0.001). However, understanding, demographic distributions, and subsequent actions post-consultation were comparable between the two groups. CONCLUSIONS: AI-assisted ChatGPT consultations offer a promising alternative to traditional face-to-face consultations in assisted reproductive medicine. While patient satisfaction was higher and consultation durations were shorter with ChatGPT, further studies are required to understand the long-term implications and clinical outcomes associated with AI-driven medical consultations. Key Messages What is already known on this topic:  Artificial intelligence (AI) applications, such as ChatGPT, have shown potential in various healthcare settings, including primary care and mental health support. Infertility is a significant global health issue that requires extensive consultations, often facing challenges such as long waiting times and varied patient satisfaction. Previous studies suggest that AI can offer personalized care and immediate feedback, but its efficacy compared with traditional consultations in reproductive medicine was not well-studied. What this study adds:  This study demonstrates that AI-assisted ChatGPT consultations result in significantly higher patient satisfaction and shorter consultation durations compared with traditional face-to-face consultations among infertility patients. Both consultation methods were comparable in terms of patient understanding, demographic distributions, and subsequent actions postconsultation. How this study might affect research, practice, or policy:  The findings suggest that AI-driven consultations could serve as an effective and efficient alternative to traditional methods, potentially reducing consultation times and improving patient satisfaction in reproductive medicine. Further research could explore the long-term impacts and broader applications of AI in clinical settings, influencing future healthcare practices and policies toward integrating AI technologies.

Stigmatisation in clinical consultations for persistent physical symptoms/functional disorders: A best fit framework synthesis.

INTRODUCTION: Stigma is a social attribute that links a person to an undesirable characteristic and leads to actions that increase the social distance from that person. This includes different or discriminatory treatment. Stigma is common in healthcare, particularly in people with persistent physical symptoms (PPS) and functional disorders (FD). The aim of this study is to create a new actionable framework to aid understanding of stigmatisation in consultations about PPS/FD and to improve the consultation experiences. METHODS: This framework development used the Best Fit Framework approach to data collected for a scoping review of stigma in functional disorders. The stages included selection of an initial framework from existing conceptual models, mapping quote data from published papers to the framework and an iterative process of revision and re-mapping. The final framework was tested by re-mapping all the quote data to the framework following classification rules. RESULTS: 253 quotes were obtained from the results sections of qualitative studies from a previous scoping review. The framework comprises of prejudice, stereotypes and actions to increase social distance. Stereotype refers to the focus of stigma: this may be the condition, the patient, or their behaviour. Actions that increase social distance include: othering; denial; non-explanation; minimising, norm-breaking; and psychologising. By breaking down stigma into recognisable components, the framework provides a way to understand the difficulties that patients and clinicians face during consultations and a way to develop intervention materials. CONCLUSIONS: This new framework for stigma in clinical consultations for PPS/FDs provides a useful tool for the study of stigma in clinical consultations.

Superior medical resources or geographic proximity? The joint effects of regional medical resource disparity, geographic distance, and cultural differences on online medical consultation.

Online medical consultation platforms enable patients to seek health advice from physicians across geographic regions. In this study, we analyze patterns of online consultation between patients and physicians. We examine the joint effects of regional medical resource disparity, geographic distance, and cultural differences between patients and physicians on patients' decisions about which physicians they consult online. Using a unique dataset of city-to-city tuples based on 813,684 online consultation records and combining it with region-level data from multiple external sources, we find that while regional medical resource disparity drives patients from medically disadvantaged regions to seek online consultations with physicians from medically advantaged regions, geographic distance and cultural differences tend to constrain these consultations. We also find that cultural differences can amplify the impact of regional medical resource disparity, whereas geographic distance may lessen this effect. Further, we discover that the constraining effect of geographic distance is partly due to the online-to-offline nature of online medical consultations. Moreover, additional analyses suggest that physicians' online reputation and information about physicians' participation on the platform can help alleviate the negative effects of geographic distance and cultural differences. These findings hold significant implications for the allocation of medical resources and the formulation of healthcare policies.

Can the Emergency Medical Service (EMS) System Help in Improving the Healthcare Access - Evidence from Maharashtra EMS.

Background: For many people in the remote regions of India, medical help is inaccessible as 66% of rural Indians do not have access to critical medicine and 31% of the population travel more than 30 km seeking health care in rural India. Timely non-availability of doctors in healthcare facilities, especially in primary health centers (PHCs), leads to more dependency on the private healthcare practitioners for the out-patient department services. This needs immediate attention. Materials and Methods: The healthcare authority in Maharashtra has allowed doctors in 108 emergency ambulances to provide consulting services. The current study is based on the total consultations managed by the doctors on-board on the 108 ambulances in the state of Maharashtra in the years 2020, 2021, and 2022. The data are procured from the state-run Emergency Response Centre, and the analysis is done by using the basic statistical technique in MS Excel and SPSS16.0. Results: More than 9.35 lakh medical consultations were provided with an average 856 consultations per ambulance in the year 2022, showing a significant growth of 452% over the consultations in 2020. The base location of the 32% ambulance (298) in the PHCs has improved the round the clock accessibility in 16% of the total PHCs in the state of Maharashtra. Conclusion: The availability of the doctors in the state-run emergency ambulances for general healthcare services has improved the adherence of Indian Public Health Standards, and such practice must be examined for implementation in other states.

Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences.

BACKGROUND: Telemedicine has experienced rapid growth in recent years, aiming to enhance medical efficiency and reduce the workload of healthcare professionals. During the COVID-19 pandemic in 2019, it became especially crucial, enabling remote screenings and access to healthcare services while maintaining social distancing. Online consultation platforms have emerged, but the demand has strained the availability of medical professionals, directly leading to research and development in automated medical consultation. Specifically, there is a need for efficient and accurate medical dialogue summarization algorithms to condense lengthy conversations into shorter versions focused on relevant medical facts. The success of large language models like generative pre-trained transformer (GPT)-3 has recently prompted a paradigm shift in natural language processing (NLP) research. In this paper, we will explore its impact on medical dialogue summarization. METHODS: We present the performance and evaluation results of two approaches on a medical dialogue dataset. The first approach is based on fine-tuned pre-trained language models, such as bert-based summarization (BERTSUM) and bidirectional auto-regressive Transformers (BART). The second approach utilizes a large language models (LLMs) GPT-3.5 with inter-context learning (ICL). Evaluation is conducted using automated metrics such as ROUGE and BERTScore. RESULTS: In comparison to the BART and ChatGPT models, the summaries generated by the BERTSUM model not only exhibit significantly lower ROUGE and BERTScore values but also fail to pass the testing for any of the metrics in manual evaluation. On the other hand, the BART model achieved the highest ROUGE and BERTScore values among all evaluated models, surpassing ChatGPT. Its ROUGE-1, ROUGE-2, ROUGE-L, and BERTScore values were 14.94%, 53.48%, 32.84%, and 6.73% higher respectively than ChatGPT's best results. However, in the manual evaluation by medical experts, the summaries generated by the BART model exhibit satisfactory performance only in the "Readability" metric, with less than 30% passing the manual evaluation in other metrics. When compared to the BERTSUM and BART models, the ChatGPT model was evidently more favored by human medical experts. CONCLUSION: On one hand, the GPT-3.5 model can manipulate the style and outcomes of medical dialogue summaries through various prompts. The generated content is not only better received than results from certain human experts but also more comprehensible, making it a promising avenue for automated medical dialogue summarization. On the other hand, automated evaluation mechanisms like ROUGE and BERTScore fall short in fully assessing the outputs of large language models like GPT-3.5. Therefore, it is necessary to research more appropriate evaluation criteria.

Quality and Dependability of ChatGPT and DingXiangYuan Forums for Remote Orthopedic Consultations: Comparative Analysis.

BACKGROUND: The widespread use of artificial intelligence, such as ChatGPT (OpenAI), is transforming sectors, including health care, while separate advancements of the internet have enabled platforms such as China's DingXiangYuan to offer remote medical services. OBJECTIVE: This study evaluates ChatGPT-4's responses against those of professional health care providers in telemedicine, assessing artificial intelligence's capability to support the surge in remote medical consultations and its impact on health care delivery. METHODS: We sourced remote orthopedic consultations from "Doctor DingXiang," with responses from its certified physicians as the control and ChatGPT's responses as the experimental group. In all, 3 blindfolded, experienced orthopedic surgeons assessed responses against 7 criteria: "logical reasoning," "internal information," "external information," "guiding function," "therapeutic effect," "medical knowledge popularization education," and "overall satisfaction." We used Fleiss κ to measure agreement among multiple raters. RESULTS: Initially, consultation records for a cumulative count of 8 maladies (equivalent to 800 cases) were gathered. We ultimately included 73 consultation records by May 2023, following primary and rescreening, in which no communication records containing private information, images, or voice messages were transmitted. After statistical scoring, we discovered that ChatGPT's "internal information" score (mean 4.61, SD 0.52 points vs mean 4.66, SD 0.49 points; P=.43) and "therapeutic effect" score (mean 4.43, SD 0.75 points vs mean 4.55, SD 0.62 points; P=.32) were lower than those of the control group, but the differences were not statistically significant. ChatGPT showed better performance with a higher "logical reasoning" score (mean 4.81, SD 0.36 points vs mean 4.75, SD 0.39 points; P=.38), "external information" score (mean 4.06, SD 0.72 points vs mean 3.92, SD 0.77 points; P=.25), and "guiding function" score (mean 4.73, SD 0.51 points vs mean 4.72, SD 0.54 points; P=.96), although the differences were not statistically significant. Meanwhile, the "medical knowledge popularization education" score of ChatGPT was better than that of the control group (mean 4.49, SD 0.67 points vs mean 3.87, SD 1.01 points; P<.001), and the difference was statistically significant. In terms of "overall satisfaction," the difference was not statistically significant between the groups (mean 8.35, SD 1.38 points vs mean 8.37, SD 1.24 points; P=.92). According to how Fleiss κ values were interpreted, 6 of the control group's score points were classified as displaying "fair agreement" (P<.001), and 1 was classified as showing "substantial agreement" (P<.001). In the experimental group, 3 points were classified as indicating "fair agreement," while 4 suggested "moderate agreement" (P<.001). CONCLUSIONS: ChatGPT-4 matches the expertise found in DingXiangYuan forums' paid consultations, excelling particularly in scientific education. It presents a promising alternative for remote health advice. For health care professionals, it could act as an aid in patient education, while patients may use it as a convenient tool for health inquiries.

Stigmatisation in medical encounters for persistent physical symptoms/functional disorders: Scoping review and thematic synthesis.

OBJECTIVE: To conduct a scoping review of stigma in medical encounters for persistent physical symptoms and functional disorders (PPS/FD). Stigma is a social attribute that links a person to an undesirable characteristic. It has been extensively studied in relation to mental illness but less so in relation to PPS/FD. METHODS: We followed PRISMA-ScR reporting guidelines for scoping reviews. Searches for were designed using the SPIDER tool. We used descriptive and thematic analysis. RESULTS: The searches identified 68 articles, of which 32 were eligible for inclusion. 31 out of the 32 studies used a qualitative methodology. 8 studies used an explicit definition of stigma, of which 6 used the Goffman (1963) definition. Only 2 studies directly examined clinical consultations, the remainder relied on recalled accounts by patients or professionals. Descriptive analysis identified the focus of the studies included: patient-physician interaction (n = 13); health care professionals' perceptions (n = 7); experiences of illness/stigma (n = 6); broader meaning of illness (n = 3); and patients' experiences of stigma in health care consultations (n = 3). CONCLUSION: Patients experience stigmatisation in consultations for a wide range of PPS/FD. This suggests the presence of structural stigmatisation. PRACTICE IMPLICATIONS: There is a need for effective stigma reduction strategies in consultations about persistent physical symptoms.

The Effect of "Offline-to-Online" Trust Transfer on the Utilization of Online Medical Consultation Among Chinese Rural Residents: Experimental Study.

BACKGROUND: Online medical consultation can serve as a valuable means for rural residents to access high-quality health care resources, thereby mitigating the geographic and economic disadvantages prevalent in rural areas. Nevertheless, due to lower cognitive abilities, rural residents often face challenges in trusting and making effective use of online medical consultations. More likely, adopting a bounded rational decision-making model that facilitates the "offline-to-online" trust transfer could prove to be a potentially effective approach. This strategy aims to encourage less technologically experienced rural residents to trust and make use of online medical consultations. OBJECTIVE: This study aims to characterize the status of "offline-to-online" trust transfer among rural residents in the context of internet health care, and analyze its direct impact on facilitating the utilization of online medical consultation. Additionally, we investigate the family spillover effect of "offline-to-online" trust transfer in promoting the use of online medical consultation among rural family members, considering its distributional effect across various education levels of the population. METHODS: A multistage stratified random sampling method was used to survey participants in rural areas of China from July to September 2021, encompassing a total of 2597 rural residents from 960 rural households. Propensity score values were estimated using logit regression, and the propensity score matching method, using the K-nearest neighbor matching, radius matching, and kernel matching methods, was applied to create matched treatment and control samples of rural residents based on their experience of "offline-to-online" trust transfer. Subsequently, we calculated average treatment effect scores to compare the differences in utilizing online medical consultation between the treatment and control rural samples. RESULTS: As many as 551/960 (57.4%) rural residents experienced an "offline-to-online" trust transfer, with a higher likelihood observed in the older population with lower levels of education and higher satisfaction with local health care services. Furthermore, rural residents who underwent "offline-to-online" trust transfer were 37%-40% more likely to utilize online medical consultation compared with those who did not experience this trust transfer. Additionally, family members of householders who underwent "offline-to-online" trust transfer were 25%-28% more likely to utilize online medical consultation than those whose householders did not experience this trust transfer. Notably, when compared with populations with high-level education, the "offline-to-online" trust transfer had more significant direct and spillover effects on the utilization of online medical consultation services among rural residents with low-level education. CONCLUSIONS: To enhance the "offline-to-online" trust transfer among rural residents and its facilitation in their utilization of online medical consultation, as well as other mobile health (mHealth) and ubiquitous health (uHealth) services, we recommend that online health care providers adopt a "patient-oriented" service model. This approach aims to elevate rural residents' satisfaction with local health care services and harness the trust-building functions inherent in physician-patient relationships and among family members.

Patient-reported reactogenicity and safety of COVID-19 vaccinations vs. comparator vaccinations: a comparative observational cohort study.

BACKGROUND: In the course of the SARS-CoV-2 pandemic, multiple vaccines were developed. Little was known about reactogenicity and safety in comparison to established vaccines, e.g. influenza, pneumococcus, or herpes zoster. Therefore, the present study aimed to compare self-reported side effects in persons vaccinated against SARS-CoV-2 with the incidence of side effects in persons receiving one of the established vaccines. METHODS: A longitudinal observational study was conducted over a total of 124 days using web-based surveys. Persons receiving either a vaccination against SARS-CoV-2 or one of the established vaccines (comparator group) were included. In the first questionnaire (short-term survey), 2 weeks after vaccination, mainly local and systemic complaints were evaluated. The long-term survey (42 days after vaccination) and follow-up survey (124 weeks after vaccination) focused on medical consultations for any reason. Multivariate analyses were conducted to determine the influence of the vaccine type (SARS-CoV-2 vs. comparator) and demographic factors. RESULTS: In total, data from 16,636 participants were included. Self-reported reactogenicity was lowest in the comparator group (53.2%) and highest in the ChAdOx1 group (85.3%). Local reactions were reported most frequently after mRNA-1273 (73.9%) and systemic reactions mainly after vector-based vaccines (79.8%). Almost all SARS-CoV-2 vaccines showed increased odds of reporting local or systemic reactions. Approximately equal proportions of participants reported medical consultations. None in the comparator group suspected a link to vaccination, while this was true for just over one in 10 in the mRNA-1273 group. The multivariate analysis showed that people with SARS-CoV-2 vaccination were not more likely to report medical consultations; patients who had received a regimen with at least one ChAdOx1 were even less likely to report medical consultations. Younger age, female gender and higher comorbidity were mostly associated with higher odds of medical consultations. CONCLUSION: The rate of adverse reactions after established vaccinations was roughly comparable to previous studies. Two weeks after vaccination, participants in the SARS-CoV-2 vaccination group reported more local and systemic local reactions than participants in the comparator group. In the further course, however, there were no higher odds of medical consultations in either of the two groups. Thus, altogether, we assume comparable safety. TRIAL REGISTRATION: DRKS-ID DRKS00025881 and DRKS-ID DRKS00025373.

Reactogenicity and safety of COVID-19 primary immunisation and booster vaccination regimens: a comparative observational cohort study.

BACKGROUND: Since the beginning of the COVID-19 vaccination campaigns, recommendations regarding the vaccination have been very dynamic. Although the safety and efficacy of different vaccines have been analysed, data were scarce for vaccine regimens combining different vaccines. We therefore aimed to evaluate and compare the perceived reactogenicity and need for medical consultation after the most frequently applied homologous and heterologous COVID-19 vaccination regimens. METHODS: In an observational cohort study, reactogenicity and safety were assessed within a maximum follow-up time of 124 days using web-based surveys. Reactogenicity was assessed for different vaccination regimens 2 weeks after a vaccination (short-term survey). The following surveys, long-term and follow-up surveys, focused on the utilisation of medical services, including those that were not suspected to be vaccine-related. RESULTS: Data of 17,269 participants were analysed. The least local reactions were seen after a ChAdOx1 - ChAdOx1 regimen (32.6%, 95% CI [28.2, 37.2]) and the most after the first dose with mRNA-1273 (73.9%, 95% CI [70.5, 77.2]). Systemic reactions were least frequent in participants with a BNT162b2 booster after a homologous primary immunisation with ChAdOx1 (42.9%, 95% CI [32.1, 54.1]) and most frequent after a ChAdOx1 - mRNA-1273 (85.5%, 95% CI [82.9, 87.8]) and mRNA-1273/mRNA-1273 regimen (85.1%, 95% CI [83.2, 87.0]). In the short-term survey, the most common consequences were medication intake and sick leave (after local reactions 0% to 9.9%; after systemic reactions 4.5% to 37.9%). In the long-term and follow-up surveys, between 8.2 and 30.9% of participants reported consulting a doctor and between 0% and 5.4% seeking hospital care. The regression analyses 124 days after the first and after the third dose showed that the odds for reporting medical consultation were comparable between the vaccination regimens. CONCLUSIONS: Our analysis revealed differences in reactogenicity between the COVID-19 vaccines and vaccination regimens in Germany. The lowest reactogenicity as reported by participants was seen with BNT162b2, especially in homologous vaccination regimens. However, in all vaccination regimens reactogenicity rarely led to medical consultations. Small differences in seeking any medical consultation after 6 weeks diminished during the follow-up period. In the end, none of the vaccination regimens was associated with a higher risk for medical consultation. TRIAL REGISTRATION: DRKS DRKS00025881 ( https://drks.de/search/de/trial/DRKS00025373 ). Registered on 14 October 2021. DRKS DRKS00025373 ( https://drks.de/search/de/trial/DRKS00025881 ). Registered on 21 May 2021. Registered retrospectively.

Online medical consultation in China: Evidence from obesity doctors.

Objective: Online medical consultation (OMC) is increasingly used in China, but there have been few in-depth studies of consultation arrangements and fee structures of online doctors in China. This research assessed the consultation arrangements and fee structure of OMC in China by undertaking a case study of obesity doctors from four representative OMC platforms. Methods: Detailed information, including fees, waiting time and doctor information, was collected from four obesity OMC platforms and analyzed using descriptive statistical analysis. Results: The obesity OMC platforms in China shared similarities in the use of big data and artificial intelligence (AI) but differed across service access, specific consultation arrangements and fees. Big data search and AI response technologies were used by most platforms to match users with doctors and reduce doctors' pressure. The descriptive statistical analysis showed that the higher the rank of the online doctor, the higher the online fee and the longer the wait time. Through a comparison with offline hospitals, we found online doctors' fees exceeded offline hospital doctors' fees by up to 90%. Conclusions: OMC platforms can gain competitive advantages over offline medical institutions through the following measures: make fuller use of big data and AI technologies to provide users with longer duration, lower cost and more efficient consultation services; provide better user experience than offline medical institutions; use big data and fee advantages to screen doctors to match users' consultation needs instead of screening by the rank of doctors only; and cooperate with commercial insurance providers to provide innovative health care packages.

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.

OBJECTIVE: To determine whether graph neural network based models of electronic health records can predict specialty consultation care needs for endocrinology and hematology more accurately than the standard of care checklists and other conventional medical recommendation algorithms in the literature. METHODS: Demand for medical expertise far outstrips supply, with tens of millions in the US alone with deficient access to specialty care. Rather than potentially months long delays to initiate diagnostic workup and medical treatment with a specialist, referring primary care supported by an automated recommender algorithm could anticipate and directly initiate patient evaluation that would otherwise be needed at subsequent a specialist appointment. We propose a novel graph representation learning approach with a heterogeneous graph neural network to model structured electronic health records and formulate recommendation/prediction of subsequent specialist orders as a link prediction problem. RESULTS: Models are trained and assessed in two specialty care sites: endocrinology and hematology. Our experimental results show that our model achieves an 8% improvement in ROC-AUC for endocrinology (ROC-AUC = 0.88) and 5% improvement for hematology (ROC-AUC = 0.84) personalized procedure recommendations over prior medical recommender systems. These recommender algorithm approaches provide medical procedure recommendations for endocrinology referrals more effectively than manual clinical checklists (recommender: precision = 0.60, recall = 0.27, F1-score = 0.37) vs. (checklist: precision = 0.16, recall = 0.28, F1-score = 0.20), and similarly for hematology referrals (recommender: precision = 0.44, recall = 0.38, F1-score = 0.41) vs. (checklist: precision = 0.27, recall = 0.71, F1-score = 0.39). CONCLUSION: Embedding graph neural network models into clinical care can improve digital specialty consultation systems and expand the access to medical experience of prior similar cases.

The Roles of Trust and Its Antecedent Variables in Healthcare Consumers' Acceptance of Online Medical Consultation during the COVID-19 Pandemic in China.

Online medical consultation (OMC) is generating considerable interest among researchers and practitioners due to the mandatory quarantine measures implemented during the COVID-19 pandemic in China. However, the acceptance rate of OMC has declined over time. This paper aims to empirically investigate OMC acceptance using a proposed research model by integrating the technology acceptance model (TAM) with trust and its antecedent variables. A quantitative self-administered cross-sectional survey was conducted to collect data from 260 healthcare consumers. A partial least squares structural equation modeling method was used to examine the data. Results revealed that healthcare consumers' behavioral intention was influenced by attitudes, while perceived usefulness and trust significantly influenced behavioral intention through attitude as a mediator. In addition, perceived risk, perceived privacy protection, network externalities, cognitive reputation, and interactivity directly influenced trust. Overall, the research model explained 50% of the variance in attitude and 71% of the variance in behavioral intention. The study's findings should provide useful insights into making effective design, development, and implementation decisions for OMC services.

Validity and reliability of standardized instruments measuring physician communication and interpersonal skills in video-recorded medical consultations - A systematic review.

OBJECTIVE: To identify standardized instruments measuring physician communication and interpersonal skills based on video-recorded consultations. METHODS: We searched electronic databases for primary studies published from 1950 to 2022. Eligible studies had to report the validation of standardized instruments dedicated to the assessment of physician interpersonal skills based on video-recorded consultations with adult patients. RESULTS: Of 7155 studies retrieved, 13 primary studies involving nine standardized instruments were included. The median number of physicians and participants was 23 (range, 1-200) and 71 (range, 1-950), respectively. Seven out of nine instruments were multidimensional and comprised a median number of 23 items (range, 7-95). The conceptual framework was reported for two instruments only. Content analysis identified 12 key behaviors with substantial overlap across instruments. The Four Habits Coding Scheme (4-HCS) yielded satisfactory validity and reliability while the evidence on psychometric properties was limited for other instruments. CONCLUSION: Limited evidence supports the psychometric attributes for most of the published standardized instruments dedicated to assessing physician communication and interpersonal skills. PRACTICE IMPLICATIONS: Although the decision to use a specific instrument depends on the study aims, the 4-HCS appears to be the most reliable instrument for assessing physician communication and interpersonal skills based on video-recorded consultations.

Medical consultation in ulcerative colitis: Key elements for improvement.

Ulcerative colitis (UC) is a chronic inflammatory disease with a high impact. In order to improve patient outcomes, the clinician-patient relationship in daily practice is critical. Clinical guidelines provide a framework for UC diagnosis and treatment. However, standard procedures and the medical content focused upon medical consultations in UC patients has not yet been defined. Moreover, UC is a complex disease, given that patient characteristics and patient needs have been proven to vary during clinical consultation since establishing the diagnosis and upon the course of the disease. In this article, we have discussed the key elements and specific objectives to consider in medical consultation, such as diagnosis, first visits, follow-up visits, active disease patients, patients on topical therapies, new treatment initiation, refractory patients, extra-intestinal manifestations, as well as challenging situations. The key elements have been mentioned to comprise effective communication techniques, motivational interviewing (MI), as well as information and educational aspects, or organizational issues. The key elements to be implemented in daily practice were reported to comprise several general principles like duly prepared consultations, in addition to honesty and empathy with patients, as well as effective communication techniques, MI, information and educational points, or organizational issues. The role of other healthcare professionals such as specialized nurses, psychologists, or the use of checklists was also discussed and commented on.

Counseling for Health: How Psychological Distance Influences Continuance Intention towards Mobile Medical Consultation.

As mobile healthcare services entered the public sight with high frequency during the COVID-19 pandemic, patients are increasingly recognizing the effectiveness of mobile medical consultation (MMC). Earlier studies have investigated what influences continuance intention (CI) towards MMC, but few studies have scrutinized it from the perspective of patients' psychological distance. We formulated a framework to examine the psychological factors influencing CI towards MMC by integrating the information systems continuance model and psychological distance theory. The framework was validated using the partial least squares structural equation modeling (PLS-SEM) approach and data from 475 MMC users in China. The empirical results revealed that immediacy, telepresence, intimacy, and substitutability were significant predictors of CI, while satisfaction mediated these pathways. Pandemic-induced anxiety positively moderated the effect of immediacy on satisfaction and the effect of satisfaction on CI. Practical implementations for MMC healthcare practitioners, designers, and marketers are drawn.

Small talk is a big deal: A discursive analysis of online off-topic doctor-patient interaction in Traditional Chinese Medicine.

This study aims to examine the small talk of Traditional Chinese Medicine (TCM) during online medical consultation (OMC). With the textual and audio doctor-patient conversations collected from Chunyu Doctor, an asynchronous and synchronous e-health platform in mainland China, this study systematically analyzed 432 pieces of TCM consultations. Results indicate that TCM doctors actively initiate small talks in online scenarios to acquire holistic information for diagnosis and boost patients' face for rapport management, both of which further contribute to patient-centeredness in Chinese OMC. Importantly, TCM doctors attach great importance to small talk, while patients perceive it with insufficient attention. To some extent, this study contributes to existing knowledge of small talk by examining its informative and interpersonal functions under the online circumstance of TCM in Oriental scenarios.

[2022 Update of the Austrian Society for Rheumatology and Rehabilitation nutrition and lifestyle recommendations for patients with gout and hyperuricemia]. / Empfehlungen der Österreichischen Gesellschaft für Rheumatologie und Rehabilitation zu Ernährung und Lebensstil bei Gicht und Hyperurikämie ­ Update 2022.

BACKGROUND: Gout is the most frequent inflammatory joint disease in the western world and has a proven genetic background. Additionally, lifestyle factors, such as increasing life expectation and standard of living, sufficient or excess nutrition and a growing prevalence of obesity in the population as well as e.g. alcohol consumption, contribute to the rising incidence of hyperuricemia and gout. Apart from an adequate medication, medical consultation on nutrition and lifestyle is an essential part of the management of gout patients, who have a high risk of internal comorbidities. OBJECTIVE: In 2015 the Austrian Society for Rheumatology and Rehabilitation (ÖGR) working group for osteoarthritis and crystal arthropathies published nutrition and lifestyle recommendations for patients with gout and hyperuricemia. Since then, a multitude of studies have been published addressing this topic, which necessitated an update. METHODS: First, the authors performed a hierarchical literature search to screen for the literature published since 2015. Considering references given in the first publication, the relevant literature was selected and the recommendations from 2015 were either kept as published, reformulated or recreated. Finally, the evidence level and the level of agreement for each recommendation were added by the authors. RESULTS: Based on this process, 10 recommendations were generated instead of the initial 9. As in the original publication, a graphical presentation with symbols was constructed to complement the written text. CONCLUSION: The ÖGR recommendations on nutrition and lifestyle for patients with gout and hyperuricemia were updated in accordance with the most recent relevant literature. These are supposed to serve as information and education material for patients and updated information for physicians.

Repetitions in online doctor-patient communication: Frequency, functions, and reasons.

OBJECTIVES: To attain insights into language repetition during online doctor-patient communication (DPC), understand why doctors and patients use repetition, and improve the current deficiencies in online medical platforms. METHODS: The study performed a content analysis of 72 sets of textual doctor-patient conversations on the Chinese online medical consultation platform Chunyu Doctor. RESULTS: Repetitions occurred 1412 times in the 72 sets of online DPC. Patient self-repetitions were the most prevalent (30.7 %), while patient repetitions of doctors were the least common (17.1 %). Doctors used repetitions for explanations and affirmations. Patients used repetition for emphasis, verification, and turn-taking. The repetition frequencies of doctors and patients were primarily influenced by personal factors. However, doctor-dimension factors exerted a greater impact on the frequency of patient repetitions. CONCLUSIONS: The reasons for repetitions in online DPC differ from those offline. Online DPC increases patient initiative and reduces doctor authority. Nevertheless, it could be affected by gender stereotypes generated during offline consultations. Doctors still dominated the conversations but attended sufficiently to the patient discourse. Online DPC is gradually attempting to fulfill the expectations of a new patient-centered healthcare pattern. PRACTICAL IMPLICATIONS: The findings yield suggestions for healthcare providers and the designers of online healthcare platforms.

The Practice of Online Medical Care at Juntendo Hospital in Response to the Coronavirus Pandemic.

The numbers of coronavirus (COVID-19) infections have exploded in Japan since mid-March 2020, making it difficult for outpatients to visit our hospital (Juntendo Hospital in Tokyo). For this reason, the hospital expanded the use of online medical care in May 2020 to ensure uninterrupted medication treatment for outpatients who could not attend in person. Although the number of outpatient visits in person was reduced, patients were still able to consult our clinic and receive their medication through online medical care via audio-video systems. This paper discusses the background to this situation, as well as the guidelines, the medical fee system, and the advantages and disadvantages of online medical care in Japan.