Maori Medical Student and Physician Exposure to Racism, Discrimination, Harassment, and Bullying.

Importance: Discrimination, bullying, and harassment in medicine have been reported internationally, but exposures for Indigenous medical students and physicians, and for racism specifically, remain less examined. Objective: To examine the prevalence of racism, discrimination, bullying, and harassment for Maori medical students and physicians in New Zealand and associations with demographic and clinical characteristics. Design, Setting, and Participants: This cross-sectional study used data from an anonymous national survey of Maori medical students and physicians in New Zealand in late 2021 and early 2022. Data were analyzed from March 2022 to April 2024. Exposures: Age, gender, marginalized status (ie, in addition to being Maori, belonging to other groups traditionally marginalized or underrepresented in medicine), year of medical school, year of graduation, and main work role. Main Outcomes and Measures: Direct and witnessed racism, discrimination, bullying, and harassment were measured as any experience in the last year and ever. Any exposure to negative comments about social groups and witnessing discriminatory treatment toward Maori patients or whanau (extended family). Considering leaving medicine, including because of mistreatment, was measured. Results: Overall, 205 Maori medical students (median [IQR] age, 23.1 [21.6-24.3] years; 137 [67.2%] women) and 200 physicians (median [IQR] age, 36.6 [30.1-45.3] years; 123 [62.8%] women) responded. Direct and witnessed exposure to racism (184 students [91.5%]; 176 physicians [90.7%]) and discrimination (176 students [85.9%]; 179 physicians [89.5%]) ever in medical education, training, or work environments was common. Ever exposure to witnessed and direct bullying (123 students [66.5%]; 150 physicians [89.3%]) and harassment (73 students [39.5%]; 112 physicians [66.7%]) was also common. Most respondents reported witnessing Maori patients or their whanau being treated badly in clinical settings, in direct interactions (67 students [57.8%]; 112 physicians [58.9%]) or behind their backs (87 students [75.0%]; 138 physicians [72.6%]). One-quarter of Maori medical students (45 students), and 37.0% of physicians (61 physicians) had considered leaving or taken a break from medicine because of these experiences. Additional marginalized statuses were significantly associated with any direct experience of mistreatment in the last year for students and physicians. Exposure to some forms of mistreatment were also significantly associated with higher likelihood of thinking about leaving or taking a break from medicine for physicians. Conclusions and Relevance: In this study, Maori medical students and physicians reported high exposure to multiple forms of racism, discrimination, bullying, and harassment in medical education, training, and work environments, requiring an urgent response from medical institutions.

ChatGPT With GPT-4 Outperforms Emergency Department Physicians in Diagnostic Accuracy: Retrospective Analysis.

BACKGROUND: OpenAI's ChatGPT is a pioneering artificial intelligence (AI) in the field of natural language processing, and it holds significant potential in medicine for providing treatment advice. Additionally, recent studies have demonstrated promising results using ChatGPT for emergency medicine triage. However, its diagnostic accuracy in the emergency department (ED) has not yet been evaluated. OBJECTIVE: This study compares the diagnostic accuracy of ChatGPT with GPT-3.5 and GPT-4 and primary treating resident physicians in an ED setting. METHODS: Among 100 adults admitted to our ED in January 2023 with internal medicine issues, the diagnostic accuracy was assessed by comparing the diagnoses made by ED resident physicians and those made by ChatGPT with GPT-3.5 or GPT-4 against the final hospital discharge diagnosis, using a point system for grading accuracy. RESULTS: The study enrolled 100 patients with a median age of 72 (IQR 58.5-82.0) years who were admitted to our internal medicine ED primarily for cardiovascular, endocrine, gastrointestinal, or infectious diseases. GPT-4 outperformed both GPT-3.5 (P<.001) and ED resident physicians (P=.01) in diagnostic accuracy for internal medicine emergencies. Furthermore, across various disease subgroups, GPT-4 consistently outperformed GPT-3.5 and resident physicians. It demonstrated significant superiority in cardiovascular (GPT-4 vs ED physicians: P=.03) and endocrine or gastrointestinal diseases (GPT-4 vs GPT-3.5: P=.01). However, in other categories, the differences were not statistically significant. CONCLUSIONS: In this study, which compared the diagnostic accuracy of GPT-3.5, GPT-4, and ED resident physicians against a discharge diagnosis gold standard, GPT-4 outperformed both the resident physicians and its predecessor, GPT-3.5. Despite the retrospective design of the study and its limited sample size, the results underscore the potential of AI as a supportive diagnostic tool in ED settings.

Time series analysis of COVID-19's impact on physician and dentist visits in Iran.

This study aimed to assess the impact of the COVID-19 pandemic on general practitioner (GP), specialist, and dentist visits among 40 million Iranians covered by the Social Security Organization (SSO). A monthly interrupted time series analysis was conducted over a period of 72 months, including-47 months before the pandemic and 25 months after its onset. The outcomes variables were monthly number of GP, specialist, and dentist visits per 1000 SSO-insured individuals. The analysis was performed by total visits, visits to the SSO direct sector, and visits to the indirect sectors. The study found that in the first month of the pandemic, the number of visits per 1000 insured individuals significantly decreased for visits to GPs (by 51.12, 95% CI -64.42 to -37.88), visits to specialists (by 39.11, 95% CI -51.61 to -26.62), and visits to dentists (by 6.67, 95% CI -8.55 to -4.78). However, during the subsequent months of the pandemic, there was a significant increase in the number of monthly visits for all three categories, with GPs experiencing the highest increase (1.78 visits per 1000 insured), followed by specialists (1.32 visits per 1000 insured), and dentists (0.05 visits per 1000 insured). Furthermore, prior to the pandemic, the number of monthly GP visits per 1000 insured individuals was statistically significantly lower in the indirect sector compared to the direct sector (45.79, 95% CI -52.69 to -38.89). Conversely, the direct sector exhibited lower rates of specialist visits (25.84 visits per 1000 insured individuals, 95% CI 22.87 to 28.82) and dentist visits (0.75 visits per 1000 insured individuals, 95% CI 0.12 to 1.36) compared to the indirect sector. Additionally, the study found that in the first month of the pandemic, the monthly number of GP visits in the indirect sector significantly increased by 34.44 times (95% CI 24.81 to 44.08) compared to the direct sector. For specialist visits and dentist visits, the increase was 3.41 (95% CI -5.87 to 12.69) and 5.01 (95% CI 3.48 to 6.53) per 1000 insured individuals, respectively. Overall, the findings of this study demonstrate statistically significant disruptions in GP, specialist, and dentist visits during the COVID-19 pandemic, although some recovery was observed. Both the direct and indirect sectors experienced decreased visits.

Knowledge and attitude towards the use of pain medications according to WHO cancer pain analgesic ladder in tertiary care hospitals of Pakistan.

To assess the knowledge and attitude of practicing physicians and surgeons towards the use of pain medication according to the World Health Organisation cancer pain analgesic ladder, the current study was conducted at tertiary care hospitals of the four provinces of Pakistan. Professionals having experience of treating cancer patients for >2 years were included. Data was collected using a self-administered questionnaire sent to each participant using Google Forms. Of the 630 physicians approached, 133(21%) responded. Of them, 74(55.64%) participants were familiar with the World Health Organisation analgesic ladder. There was a significant difference in the frequency of using the ladder based on age (p<0.05). Most participants 31(23%) reported the nonavailability of the recommended drugs as the reason for not following the analgesic ladder. There is a strong need to educate physicians and surgeons about the World Health Organisation analgesic ladder, and to make strategies to improve opioid availability in Pakistan.

Perspectives on climate action and the changing burden of infectious diseases among young Italian doctors and students: a national survey.

Background: The eco-climatic crisis has been defined by the World Health Organization as the "single biggest health threat facing humanity," influencing both the emergence of zoonoses and the spread of vector-borne and water-borne diseases. The aim of this survey was to explore knowledge, eco-anxiety and attitudes toward the ecological and climate crisis among young Italian doctors and medical students. Methods: A cross-sectional, multicenter survey was conducted from November 2022 to June 2023, by administering an anonymous questionnaire to Italian doctors and students of medicine. Endpoint of the study was a Knowledge, Attitudes and Practices (KAP) score on ecological and climate crisis (0-20 points). Association between variables and KAP score was assessed by Kruskal-Wallis' or Spearman's test, as appropriate, and significant variables were included into ordinal regression model and reported as adjusted odds ratio (aOR) with their 95% confidence intervals (CI). Results: Both KAP and eco-anxiety scores showed acceptable levels of consistency with Cronbach's alpha. A total of 605 medical doctors and students living in 19 Italian regions were included in the study. Median age [Q1-Q3] was 27.6 [24.1-31.3] and females were 352 (58.2%). Despite showing good attitudes toward climate action, knowledge gap were found, with 42.5% (n = 257) of the respondents not knowing the temperature limits set by the Paris Agreements and 45.5% (n = 275) believing that climate change is caused by sunspots. Fears suggestive for eco-anxiety were common. At multivariable ordinal regression, high levels of eco-anxiety (aOR 1.29, p = 0.001) and low trust in government action (aOR 1.96, p = 0.003) were associated with a higher KAP score. Only one Italian medical school offered an educational module on climate change. Conclusion: Young Italian doctors and medical students are concerned about the climate crisis but show poor knowledge of these topics. The Italian academic system should urgently respond to this need.

Physician Reluctance to Intervene in Addiction: A Systematic Review.

Importance: The overdose epidemic continues in the US, with 107 941 overdose deaths in 2022 and countless lives affected by the addiction crisis. Although widespread efforts to train and support physicians to implement medications and other evidence-based substance use disorder interventions have been ongoing, adoption of these evidence-based practices (EBPs) by physicians remains low. Objective: To describe physician-reported reasons for reluctance to address substance use and addiction in their clinical practices using screening, treatment, harm reduction, or recovery support interventions. Data Sources: A literature search of PubMed, Embase, Scopus, medRxiv, and SSRN Medical Research Network was conducted and returned articles published from January 1, 1960, through October 5, 2021. Study Selection: Publications that included physicians, discussed substance use interventions, and presented data on reasons for reluctance to intervene in addiction were included. Data Extraction and Synthesis: Two reviewers (L.N., M.C., L.F., J.P., C.S., and S.W.) independently reviewed each publication; a third reviewer resolved discordant votes (M.C. and W.C.). This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines and the theoretical domains framework was used to systematically extract reluctance reasons. Main Outcomes and Measures: The primary outcome was reasons for physician reluctance to address substance use disorder. The association of reasons for reluctance with practice setting and drug type was also measured. Reasons and other variables were determined according to predefined criteria. Results: A total of 183 of 9308 returned studies reporting data collected from 66 732 physicians were included. Most studies reported survey data. Alcohol, nicotine, and opioids were the most often studied substances; screening and treatment were the most often studied interventions. The most common reluctance reasons were lack of institutional support (173 of 213 articles [81.2%]), knowledge (174 of 242 articles [71.9%]), skill (170 of 230 articles [73.9%]), and cognitive capacity (136 of 185 articles [73.5%]). Reimbursement concerns were also noted. Bivariate analysis revealed associations between these reasons and physician specialty, intervention type, and drug. Conclusions and Relevance: In this systematic review of reasons for physician reluctance to intervene in addiction, the most common reasons were lack of institutional support, knowledge, skill, and cognitive capacity. Targeting these reasons with education and training, policy development, and program implementation may improve adoption by physicians of EBPs for substance use and addiction care. Future studies of physician-reported reasons for reluctance to adopt EBPs may be improved through use of a theoretical framework and improved adherence to and reporting of survey development best practices; development of a validated survey instrument may further improve study results.

Characterizing physician directory data quality: variation by specialty, state, and insurer.

BACKGROUND: As U.S. legislators are urged to combat ghost networks in behavioral health and address the provider data quality issue, it becomes important to better characterize the variation in data quality of provider directories to understand root causes and devise solutions. Therefore, this manuscript examines consistency of address, phone number, and specialty information for physician entries from 5 national health plan provider directories by insurer, physician specialty, and state. METHODS: We included all physicians in the Medicare Provider Enrollment, Chain, and Ownership System (PECOS) found in ≥ 2 health insurer physician directories across 5 large national U.S. health insurers. We examined variation in consistency of address, phone number, and specialty information among physicians by insurer, physician specialty, and state. RESULTS: Of 634,914 unique physicians in the PECOS database, 449,282 were found in ≥ 2 directories and included in our sample. Across insurers, consistency of address information varied from 16.5 to 27.9%, consistency of phone number information varied from 16.0 to 27.4%, and consistency of specialty information varied from 64.2 to 68.0%. General practice, family medicine, plastic surgery, and dermatology physicians had the highest consistency of addresses (37-42%) and phone numbers (37-43%), whereas anesthesiology, nuclear medicine, radiology, and emergency medicine had the lowest consistency of addresses (11-21%) and phone numbers (9-14%) across health insurer directories. There was marked variation in consistency of address, phone number, and specialty information by state. CONCLUSIONS: In evaluating a large national sample of U.S. physicians, we found minimal variation in provider directory consistency by insurer, suggesting that this is a systemic problem that insurers have not solved, and considerable variation by physician specialty with higher quality data among more patient-facing specialties, suggesting that physicians may respond to incentives to improve data quality. These data highlight the importance of novel policy solutions that leverage technology targeting data quality to centralize provider directories so as not to not reinforce existing data quality issues or policy solutions to create national and state-level standards that target both insurers and physician groups to maximize quality of provider information.

Duration of New-Onset Depressive Symptoms During Medical Residency.

Importance: The implications of new-onset depressive symptoms during residency, particularly for first-year physicians (ie, interns), on the long-term mental health of physicians are unknown. Objective: To examine the association between and persistence of new-onset and long-term depressive symptoms among interns. Design, Setting, and Participants: The ongoing Intern Health Study (IHS) is a prospective annual cohort study that assesses the mental health of incoming US-based resident physicians. The IHS began in 2007, and a total of 105 residency programs have been represented in this national study. Interns enrolled sequentially in annual cohorts and completed follow-up surveys to screen for depression using the 9-item Patient Health Questionnaire-9 (PHQ-9) throughout and after medical training. The data were analyzed from May 2023 to March 2024. Exposure: A positive screening result for depression, defined as an elevated PHQ-9 score of 10 or greater (indicating moderate to severe depression) at 1 or more time points during the first postgraduate year of medical training (ie, the intern year). Main Outcomes and Measures: The main outcomes assessed were mean PHQ-9 scores (continuous) and proportions of physicians with an elevated PHQ-9 score (≥10; categorical or binary) at the time of the annual follow-up survey. To account for repeated measures over time, a linear mixed model was used to analyze mean PHQ-9 scores and a generalized estimating equation (GEE) was used to analyze the binary indicator for a PHQ-9 score of 10 or greater. Results: This study included 858 physicians with a PHQ-9 score of less than 10 before the start of their internship. Their mean (SD) age was 27.4 (9.0) years, and more than half (53.0% [95% CI, 48.5%-57.5%]) were women. Over the follow-up period, mean PHQ-9 scores did not return to the baseline level assessed before the start of the internship in either group (those with a positive depression screen as interns and those without). Among interns who screened positive for depression (PHQ-9 score ≥10) during their internship, mean PHQ-9 scores were significantly higher at both 5 years (4.7 [95% CI, 4.4-5.0] vs 2.8 [95% CI, 2.5-3.0]; P < .001) and 10 years (5.1 [95% CI, 4.5-5.7] vs 3.5 [95% CI, 3.0-4.0]; P < .001) of follow-up. Furthermore, interns with an elevated PHQ-9 score (≥10) demonstrated a higher likelihood of meeting this threshold during each year of follow-up. Conclusions and Relevance: In this cohort study of IHS participants, a positive depression screening result during the intern year had long-term implications for physicians, including having persistently higher mean PHQ-9 scores and a higher likelihood of meeting this threshold again. These findings underscore the pressing need to address the mental health of physicians who experience depressive symptoms during their training and to emphasize the importance of interventions to sustain the health of physicians throughout their careers.

Clinico-epidemiological Characteristics of the Physician Affected with Covid-19.

Coronavirus disease 2019 (Covid-19) disease have been associated with significant mortality amongst doctors globally including Bangladesh. To delineate the clinico-epidemiological characteristics of the physician affected with Covid-19 was the objective of the study. This cross-sectional 'Facebook' based survey was conducted in the period of August 2020 to September 2020. Snowball sampling methods was followed. A total of 151 physicians affected with Covid-19 participated in this survey. Self-reported perceived severity scale (zero meaning not severe at all and ten denoting the most severe) was used. Collected data were analyzed by SPSS 25.0. Among the participants, the majority were male, 98(64.9%). The most prevalent affected age groups were 24-35 years 131(86.8%). Approximately 45.0% worked in COVID dedicated hospital. Entry-level physicians (Medical Officer or Assistant Surgeon) were the most affected 117(94.4%). One-third of the physicians had at least the one co-morbidity. Bronchial asthma, obesity and diabetes were the most frequent. Predominate symptoms of the infection were fever 94(62.3%), cough 94(62.3%) and myalgia 92(60.9%). Half of the participants had sore throat, anosmia, gastro-intestinal symptoms and one-third of the patients developed dyspnea. Perceived severity of the symptoms ranged between 2 and 6. The pattern of drug use to prevent the Covid-19 showed no uniformity. However, intake of Zinc, Vitamin C, Vitamin D, antihistamine and Ivermectin was found in 74.8%, 67.5%, 41.7%, 49.0% and 37.7% respectively. As the current pandemic continues to evolve, physicians must be equipped with appropriate knowledge, skills and must be cautious on the prevention measures against Covid-19.

Differences in Physicians' Ratings of Work Stressors and Resources Associated With Digital Transformation: Cross-Sectional Study.

BACKGROUND: The emergence of the COVID-19 pandemic rapidly accelerated the need and implementation of digital innovations, especially in medicine. OBJECTIVE: To gain a better understanding of the stress associated with digital transformation in physicians, this study aims to identify working conditions that are stress relevant for physicians and differ in dependence on digital transformation. In addition, we examined the potential role of individual characteristics (ie, age, gender, and actual implementation of a digital innovation within the last 3 years) in digitalization-associated differences in these working conditions. METHODS: Cross-sectional web-based questionnaire data of 268 physicians (mean age 40.9, SD 12.3 y; n=150, 56% women) in Germany were analyzed. Physicians rated their chronic stress level and 11 relevant working conditions (ie, work stressors such as time pressure and work resources such as influence on sequence) both before and after either a fictional or real implementation of a relevant digital transformation at their workplace. In addition, a subsample of individuals (60; n=33, 55% women) submitted self-collected hair samples for cortisol analysis. RESULTS: The stress relevance of the selected working conditions was confirmed by significant correlations with self-rated chronic stress and hair cortisol levels (hair F) within the sample, all of them in the expected direction (P values between .01 and <.001). Multilevel modeling revealed significant differences associated with digital transformation in the rating of 8 (73%) out of 11 working conditions. More precisely, digital transformation was associated with potentially stress-enhancing effects in 6 working conditions (ie, influence on procedures and complexity of tasks) and stress-reducing effects in 2 other working conditions (ie, perceived workload and time pressure). Younger individuals, women, and individuals whose workplaces have implemented digital innovations tended to perceive digitalization-related differences in working conditions as rather stress-reducing. CONCLUSIONS: Our study lays the foundation for future hypothesis-based longitudinal research by identifying those working conditions that are stress relevant for physicians and prone to differ as a function of digital transformation and individual characteristics.

Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study.

BACKGROUND: Large language models (LLMs) have demonstrated impressive performances in various medical domains, prompting an exploration of their potential utility within the high-demand setting of emergency department (ED) triage. This study evaluated the triage proficiency of different LLMs and ChatGPT, an LLM-based chatbot, compared to professionally trained ED staff and untrained personnel. We further explored whether LLM responses could guide untrained staff in effective triage. OBJECTIVE: This study aimed to assess the efficacy of LLMs and the associated product ChatGPT in ED triage compared to personnel of varying training status and to investigate if the models' responses can enhance the triage proficiency of untrained personnel. METHODS: A total of 124 anonymized case vignettes were triaged by untrained doctors; different versions of currently available LLMs; ChatGPT; and professionally trained raters, who subsequently agreed on a consensus set according to the Manchester Triage System (MTS). The prototypical vignettes were adapted from cases at a tertiary ED in Germany. The main outcome was the level of agreement between raters' MTS level assignments, measured via quadratic-weighted Cohen κ. The extent of over- and undertriage was also determined. Notably, instances of ChatGPT were prompted using zero-shot approaches without extensive background information on the MTS. The tested LLMs included raw GPT-4, Llama 3 70B, Gemini 1.5, and Mixtral 8x7b. RESULTS: GPT-4-based ChatGPT and untrained doctors showed substantial agreement with the consensus triage of professional raters (κ=mean 0.67, SD 0.037 and κ=mean 0.68, SD 0.056, respectively), significantly exceeding the performance of GPT-3.5-based ChatGPT (κ=mean 0.54, SD 0.024; P<.001). When untrained doctors used this LLM for second-opinion triage, there was a slight but statistically insignificant performance increase (κ=mean 0.70, SD 0.047; P=.97). Other tested LLMs performed similar to or worse than GPT-4-based ChatGPT or showed odd triaging behavior with the used parameters. LLMs and ChatGPT models tended toward overtriage, whereas untrained doctors undertriaged. CONCLUSIONS: While LLMs and the LLM-based product ChatGPT do not yet match professionally trained raters, their best models' triage proficiency equals that of untrained ED doctors. In its current form, LLMs or ChatGPT thus did not demonstrate gold-standard performance in ED triage and, in the setting of this study, failed to significantly improve untrained doctors' triage when used as decision support. Notable performance enhancements in newer LLM versions over older ones hint at future improvements with further technological development and specific training.

COVID-19 vaccine uptake among Ontario physicians: a descriptive population-based retrospective cohort study.

OBJECTIVES: To determine COVID-19 vaccine uptake among physicians in Ontario, Canada from 14 December 2020 to 13 February 2022. DESIGN: Population-based retrospective cohort study. SETTING: All registered physicians in Ontario, Canada using data from linked provincial administrative healthcare databases. PARTICIPANTS: 41 267 physicians (including postgraduate trainees) who were Ontario residents and registered with the College of Physicians and Surgeons of Ontario were included. Physicians who were out of province, had not accessed Ontario Health Insurance Plan-insured services for their own care for ≥5 years and those with missing identifiers were excluded. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes were the proportions of physicians who were recorded to have received at least one, at least two and three doses of a Health Canada-approved COVID-19 vaccine by study end date. Secondary outcomes were how uptake varied by physician characteristics (including age, sex, specialty and residential location) and time elapsed between doses. RESULTS: Of 41 267 physicians, (56% male, mean age 47 years), 39 359 (95.4%) received at least one dose, 39 148 (94.9%) received at least two doses and 35 834 (86.8%) received three doses of a COVID-19 vaccine. Of those who received three doses, the proportions were 90.4% among those aged ≥60 years and 81.2-89.5% among other age groups; 88.7% among family physicians and 89% among specialists. 1908 physicians (4.6%) had no record of vaccination, and this included 3.4% of family physicians and 4.1% of specialists; however, 28% of this group had missing specialty information. CONCLUSIONS: In Ontario, within 14 months of COVID-19 vaccine availability, 86.8% of physicians had three doses of a COVID-19 vaccine, compared with 45.6% of the general population. Findings may signify physicians' confidence in the safety and effectiveness of COVID-19 vaccines.

Can financial incentives improve access to care? Evidence from a French experiment on specialist physicians.

In France, addressing balance billing is essential for equitable healthcare access and reducing physician income disparities. The National Health Insurance (NHI) introduced financial incentive programs, namely the "Contract for Access to Care" (CAS) in 2014 and the "Option for Controlled Pricing" (OPTAM) in 2017, to encourage physicians to reduce extra fees and adhere to regulated prices. This study analyzed the impact of these programs on self-employed physicians using a comprehensive administrative dataset covering specialist physicians from 2005 to 2017. The dataset comprised 9891 surgical specialists (30,972 observations) and 6926 medical specialists (21,650 observations) between 2005 and 2017. Applying a difference-in-differences design with a two-way fixed effect model and matching through the "Coarsened Exact Matching" method, the study examined CAS and/or OPTAM membership effects on physicians' activity and fees. The results indicate that both the CAS and OPTAM successfully enhance access to care. Physicians treat more patients, particularly those with lower incomes who might have previously avoided care because of the extra fees. However, an increased patient load translates to a higher workload for physicians. Despite a fee increase, it was observed to be smaller than the surge in activity. Furthermore, if all physicians are appropriately rewarded for their efforts, this improvement in access comes at a cost to NHI. This study's findings provide crucial insights into the nuanced effects of these financial incentive programs on physicians' behavior, highlighting the tradeoff between improved access and increased NHI costs. Ultimately, these findings underscore the complexity of balancing financial incentives, physician workload, and healthcare accessibility in pursuit of a more equitable healthcare system.

Doctors Who Attend Policy School: Who Are They and Where Do They Work?

Many physicians are pursuing additional advanced degrees, though no study has evaluated the characteristics and career choices of physicians who have pursued graduate policy degrees. We therefore searched employment and alumni data from the Harvard Kennedy School of Government in addition to publicly available information to identify physicians who graduated with a policy degree from 1964 to 2002. We identified 258 physicians with policy degrees and found that they are increasing in number, though females are underrepresented when compared to the female physician workforce; likely to pursue clinical training in specialties highly proximate to public policy challenges, with most physicians remaining medically licensed after residency; and more likely to hold nonclinical roles in academia, clinical leadership, and the private sector than in nonprofits and government. We conclude that the importance of integrating physicians with policy training throughout various organizations warrants further research into the growth, characteristics, and career choices of these physicians.

Knowledge of Tunisian physicians about electronic cigarettes.

INTRODUCTION: The electronic cigarette is a new-generation smoking product whose mechanism of use could, in theory, minimize adverse health effects. AIM: Determine the knowledge and perceptions of a sample of Tunisian doctors regarding electronic cigarettes. METHODS: We conducted a descriptive cross-sectional study over a two-month period with a sample of Tunisian doctors. We used an online self-questionnaire on physicians' knowledge and perceptions of e-cigarettes. RESULTS: Data were obtained from 216 physicians. Of the participants, 97.2% were familiar with e-cigarettes, 56.5% reported low knowledge, and 83.4% expressed motivation to learn more about e-cigarettes. Overall, 83.8% of doctors felt that electronic cigarettes are harmful to the user's health. Use of this product would increase the risk of cancer according to 73.1% of participants, the risk of cardiovascular disease according to 68.5% of participants, and the risk of chronic lung disease according to 79.2% of participants. The perception of e-cigarettes as harmful to the user's health was associated with the physicians' medical specialty (p=0.032). The recommendation of e-cigarettes as a smoking cessation tool was negatively correlated with addictology training (p=0.027). CONCLUSIONS: Physicians' knowledge of electronic cigarettes is heterogeneous, reflecting the current lack of information and consensus.

Doctors' Personal Preference and Adoption of Mobile Apps to Communicate with Patients in China: Qualitative Study.

BACKGROUND: Different kinds of mobile apps are used to promote communications between patients and doctors. Studies have investigated patients' mobile app adoption behavior; however, they offer limited insights into doctors' personal preferences among a variety of choices of mobile apps. OBJECTIVE: This study aimed to investigate the nuanced adoption behaviors among doctors in China, which has a robust adoption of mobile apps in health care, and to explore the constraints influencing their selection of specific mobile apps. This paper addressed 3 research questions: (1) Which doctors opt to adopt mobile apps to communicate with patients? (2) What types of mobile apps do they choose? (3) To what degree do they exercise personal choice in adopting specific mobile apps? METHODS: We used thematic content analysis of qualitative data gathered from semistructured interviews with 11 doctors in Hangzhou, which has been recognized for its advanced adoption of mobile technology in social services, including health care services. The selection of participants was purposive, encompassing diverse departments and hospitals. RESULTS: In total, 5 themes emerged from the data analysis. First, the interviewees had a variety of options for communicating with patients via mobile apps, with the predominant ones being social networking apps (eg, WeChat) and medical platforms (eg, Haodf). Second, all interviewees used WeChat to facilitate communication with patients, although their willingness to share personal accounts varied (they are more likely to share with trusty intermediaries). Third, fewer than half of the doctors adopted medical platforms, and they were all from tertiary hospitals. Fourth, the preferences for in-person, WeChat, or medical platform communication reflected the interviewees' perceptions of different patient cohorts. Lastly, the selection of a particular kind of mobile app was significantly influenced by the doctors' affiliation with hospitals, driven by their professional obligations to fulfill multiple tasks assigned by the hospitals or the necessity of maintaining social connections with their colleagues. CONCLUSIONS: Our findings contribute to a nuanced understanding of doctors' adoption behavior regarding specific types of mobile apps for patient communication, instead of addressing such adoption behavior of a wide range of mobile apps as equal. Their choices of a particular kind of app were positioned within a social context where health care policies (eg, limited funding for public hospitals, dominance of public health care institutions, and absence of robust referral systems) and traditional culture (eg, trust based on social connections) largely shape their behavioral patterns.

Assessment of post-SARS-CoV-2 fatigue among physicians working in COVID-designated hospitals in Dhaka, Bangladesh.

BACKGROUND: Fatigue has been observed after the outbreaks of several infectious diseases around the world. To explore the fatigue level among physicians working in COVID-19-designated hospitals in Bangladesh, a matched case‒control study was conducted on post-SARS-CoV-2 fatigue. METHOD: In this study, 105 physicians diagnosed with COVID-19 who were declared cured at least 6 weeks before the interview date were recruited as cases, and the same number of age- and designation-matched healthy physicians were recruited as controls from the same hospital at a 1:1 ratio. Diagnosis of COVID-19 infection was confirmed by detection of SARS CoV-2 antigen by RT‒PCR from reference laboratories in Bangladesh or by HRCT chest. RESULT: Approximately two-thirds of the physicians were male (67.6% vs. 32.4%). More than 80% of them were younger than 40 years. The cases had a significantly greater number of comorbid conditions. The fatigue severity scale (FSS) score (mean) was much higher for cases (36.7 ± 5.3 vs. 19.3 ± 3.8) than for the control group, with a statistically significant difference. Similarly, approximately 67.7% of the previously COVID-19-positive physicians were in the highest FSS score tertile compared to the respondents in the control group, who had a mean score of <3. CONCLUSION: Physicians who had a previous history of COVID-19 infection had significantly higher total and mean FSS scores, signifying a more severe level of fatigue than physicians who had never been COVID-19 positive while working in the same hospital irrespective of their age and sex.

Differences in the depression and burnout networks between doctors and nurses: evidence from a network analysis.

BACKGROUND: Previous studies have demonstrated a strong association between depression and job burnout among healthcare professionals, but the results have been inconsistent, and there is a lack of in-depth exploration of such a relationship among different healthcare professions. The present study aims to investigate the interrelationships between depression and burnout among Chinese healthcare professionals and whether there are differences in the networks of these symptoms between doctors and nurses. METHODS: The Maslach Burnout Inventory-General Survey and the 2-item Patient Health Questionnaire were employed to assess job burnout and depression among 3,684 healthcare professionals. The translation has been refined to ensure accuracy and academic suitability. Subsequently, network analysis was conducted on 2,244 participants with a higher level of job burnout to identify core symptoms and explore the associations between job burnout and depression. RESULTS: The present study showed a network association between lack of interest and pleasure in things and being exhausted from work, excessive tiredness facing work, tendency to collapse at work, and lack of passion for work than before among healthcare professionals, as well as a notable difference in the network association between lack of interest and pleasure in things and lack of passion for work than before between nurses and doctors. CONCLUSIONS: The depression-burnout network structures differ between doctors and nurses, highlighting the need for targeted intervention measures for both groups.

"Women's work": Gender and the physician workforce.

Historically, the physician professional identity and the organizational structure of Western medicine have been defined by masculine norms such as authority and assertiveness. The past five decades have seen a rapid shift in the demographics of attendees as medical schools, with equal numbers of women and men matriculants for nearly twenty years. Gender as a social, cultural, and structural variable continues to influence the physician workforce. The entry of women into medicine, has had far reaching effects on the expectations of patients, the interactions of physicians with other members of the healthcare team, and the delivery of care. Redefining the culture of medicine to accommodate the diversity of the modern workforce may benefit all physician and improve the delivery of healthcare.