BACKGROUND: Although history taking is fundamental for diagnosing medical conditions, teaching and providing feedback on the skill can be challenging due to resource constraints. Virtual simulated patients and web-based chatbots have thus emerged as educational tools, with recent advancements in artificial intelligence (AI) such as large language models (LLMs) enhancing their realism and potential to provide feedback.
OBJECTIVE: In our study, we aimed to evaluate the effectiveness of a Generative Pretrained Transformer (GPT) 4 model to provide structured feedback on medical students\' performance in history taking with a simulated patient.
METHODS: We conducted a prospective study involving medical students performing history taking with a GPT-powered chatbot. To that end, we designed a chatbot to simulate patients\' responses and provide immediate feedback on the comprehensiveness of the students\' history taking. Students\' interactions with the chatbot were analyzed, and feedback from the chatbot was compared with feedback from a human rater. We measured interrater reliability and performed a descriptive analysis to assess the quality of feedback.
RESULTS: Most of the study\'s participants were in their third year of medical school. A total of 1894 question-answer pairs from 106 conversations were included in our analysis. GPT-4\'s role-play and responses were medically plausible in more than 99% of cases. Interrater reliability between GPT-4 and the human rater showed \"almost perfect\" agreement (Cohen κ=0.832). Less agreement (κ<0.6) detected for 8 out of 45 feedback categories highlighted topics about which the model\'s assessments were overly specific or diverged from human judgement.
CONCLUSIONS: The GPT model was effective in providing structured feedback on history-taking dialogs provided by medical students. Although we unraveled some limitations regarding the specificity of feedback for certain feedback categories, the overall high agreement with human raters suggests that LLMs can be a valuable tool for medical education. Our findings, thus, advocate the careful integration of AI-driven feedback mechanisms in medical training and highlight important aspects when LLMs are used in that context.

BACKGROUND: Antenatal depression is the most prevalent pregnancy-associated mental health disorder. Previous studies have identified several risk factors for antenatal depression, including partner support. However, during the COVID-19 pandemic, many relationship dynamics changed. This study examined the extent to which relationship factors had an impact on antenatal depression in comparison with other well-researched factors in the context of the pandemic.
METHODS: A secondary analysis was conducted using data from the P3 Cohort in Calgary, a longitudinal cohort study based in Alberta, Canada. Pregnant people (n = 872) completed self-report questionnaires and validated scales about sociodemographic, psychological, and relationship characteristics. Antenatal depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS). Logistic regression was used to assess the impact of reported characteristics on antenatal depression. Tests of model fit were used to examine whether the inclusion of variables related to relationship quality improved model fit after accounting for other known risk factors.
RESULTS: Overall, 18.23% of participants experienced antenatal depression. Relationship factors including relationship unhappiness (OR = 1.98 [95% CI: 1.06-3.69]), having an upsetting partner (OR = 2.00 [95% CI: 1.17-3.40]), and having a lower quality of relationships with close friends and family (OR = 1.76 [95% CI: 1.14-2.73]) were associated with antenatal depression; however, inclusion of these relationship factors did not improve model fit after accounting for other known predictors.
CONCLUSIONS: Overall, relationship factors were not associated with antenatal depression during the pandemic after accounting for other known risk factors. Stress and anxiety caused by the pandemic may have overshadowed the impact of relationship factors, or relationship factors may have contributed to higher levels of stress and anxiety more generally within our sample.

Background: Quality of life (QoL) is crucial for young adults with posterior urethral valves (PUV). This study investigates the impact of lower urinary tract symptoms (LUTS) on their quality of life and sexual health, including self-efficacy. Methods: Patients aged 16 and older treated for PUV completed four validated questionnaires (Sexual Self-Efficacy Scale (SSES-E), ICIQ MLUTS, ICIQ MLUTSsex, ICIQ LUTSqol) and an individual health questionnaire. Results: Eighteen (52.9%) patients responded, with a median age of 23 years (IQR 18-26). Three had terminal renal failure; two were transplanted. Thirteen urinated naturally; five used a stoma. Sixteen had mild and two had moderate LUTS. Fifteen patients completed the SSES-E, scoring an average of 80, similar to the healthy cohort (83). Renal failure or catheterization did not significantly affect the overall score. In the ICIQ MLUTSsex, patients reported no significant impact of LUTS on sexuality. However, those with moderate LUTS had lower self-efficacy than those with mild symptoms (mean 75 vs. 84). Conclusions: Although quality of life and sexual function do not appear to be significantly impaired, LUTS are common and appear to be associated with a decreased SSE in our cohort. This should be particularly considered during the transition to adult care.

BACKGROUND: 5% of patients account for the majority of healthcare spend, but standardized interventions for this complex population struggle to generate return on investment. The aim of this study is the development and proof of concept of an adaptive intervention to reduce cost and risk of readmission for medically high-risk individuals with any behavioral health diagnosis.
METHODS: A behaviorally-oriented, personalized care service was delivered using a consultative, team-based approach including a physician, counselor, dietitian and social worker in collaboration with nurse care coordinators. Iterative re-conceptualizations informed tailored treatment approaches to prevent acute decompensation while retraining behaviors that impeded recovery. This service was offered to a small set of members of the employee health plan at University Hospitals Cleveland with an existing behavioral health disorder from November of 2020 to March of 2023. 26 members receiving the service were identified and matched with 26 controls using a risk algorithm. Members and controls were then classified as high utilizers (n = 14) or standard utilizers (n = 38) based on utilization claims data.
RESULTS: Primary outcomes of this study included medical expenditures (delineated as planned and unplanned spend) and readmission risk scores. Compared to risk-matched controls, both planned and unplanned health care expenditures significantly decreased (p < .05) for 7 high utilizers, and unplanned spend only significantly decreased for 19 standard utilizers (p < .05). Risk scores, which predict future spend, decreased significantly for standard utilizers (p < .05), but not for high utilizers.
CONCLUSIONS: The value of a behaviorally-oriented personalized care intervention for medically high-risk patients in a commercial insurance population was demonstrated through decreased spend for high utilizers and decreased risk for standard utilizers. Further expansion, refinement, evaluation and scaling are warranted.

When examining whether two continuous variables are associated, tests based on Pearson\'s, Kendall\'s, and Spearman\'s correlation coefficients are typically used. This paper explores modern nonparametric independence tests as an alternative, which, unlike traditional tests, have the ability to potentially detect any type of relationship. In addition to existing modern nonparametric independence tests, we developed and considered two novel variants of existing tests, most notably the Heller-Heller-Gorfine-Pearson (HHG-Pearson) test. We conducted a simulation study to compare traditional independence tests, such as Pearson\'s correlation, and the modern nonparametric independence tests in situations commonly encountered in psychological research. As expected, no test had the highest power across all relationships. However, the distance correlation and the HHG-Pearson tests were found to have substantially greater power than all traditional tests for many relationships and only slightly less power in the worst case. A similar pattern was found in favor of the HHG-Pearson test compared to the distance correlation test. However, given that distance correlation performed better for linear relationships and is more widely accepted, we suggest considering its use in place or additional to traditional methods when there is no prior knowledge of the relationship type, as is often the case in psychological research.

Northwest China has undergone notable alterations in climate and vegetation growth in recent decades. Nevertheless, uncertainties persist concerning the response of different vegetation types to climate change and the underlying mechanisms. This study utilized the Normalized Difference Vegetation Index (NDVI) and three sets of meteorological data to investigate the interannual variations in the association between vegetation and climate (specifically precipitation and temperature) from 1982 to 2015. Several conclusions were drawn. (1) RNDVI-GP (relationship between Growing Season NDVI and precipitation) decreased significantly across all vegetation, while RNDVI-GT (relationship between Growing Season NDVI and temperature) showed an insignificant increase. (2) Trends of RNDVI-GP and RNDVI-GT exhibited great variations across various types of vegetation, with forests displaying notable downward trends in both indices. The grassland exhibited a declining trend in RNDVI-GP but an insignificant increase in RNDVI-GT, while no significant temporal changes in RNDVI-GP or RNDVI-GT were observed in the barren land. (3) The fluctuations in RNDVI-GP and RNDVI-GT closely aligned with variations in drought conditions. Specifically, in regions characterized by VPD (vapor pressure deficit) trends less than 0.02 hpa/yr, which are predominantly grasslands, a rise in SWV (soil water volume) tended to cause a reduction in RNDVI-GP but an increase in RNDVI-GT. However, a more negative trend in SWV was associated with a more negative trend in both RNDVI-GP and RNDVI-GT when the VPD trend exceeded 0.02 hPa/yr, primarily in forests. Our results underscore the variability in the relationship between climate change and vegetation across different vegetation types, as well as the role of drought in modulating these associations.

UNASSIGNED: Ambivalent feelings in dementia family caregivers have been found to be related to caregivers´ stress associated with the behavioral and psychological symptoms of dementia (BPSD-related stress), and depressive symptoms. Ambivalent feelings may also affect caregivers´ perceived quality of the relationship with the person living with dementia (PLwD), but this variable has been scarcely studied. This study analyzes the role of ambivalent feelings in the association between caregivers\' BPSD-related stress, perceived quality of the relationship with the PLwD, and depressive symptomatology.
UNASSIGNED: A theoretical model was developed and tested in a sample of 390 family caregivers.
UNASSIGNED: The obtained tested model had an excellent fit to the data, explaining 24% of the variance of depressive symptomatology. A significant association was found between caregivers\' BPSD-related stress, ambivalent feelings, and depressive symptomatology. Also, an indirect effect in the association between ambivalent feelings and depressive symptomatology was found through the perceived quality of the relationship.
UNASSIGNED: Ambivalent feelings in dementia family caregivers are associated with caregivers\' BPSD-related stress, perception of a lower relationship quality, and higher depressive symptomatology.
UNASSIGNED: Targeting caregivers\' ambivalent feelings and the quality of the relationship in interventions for dementia family caregivers may decrease their distress.

BACKGROUND: Helicobacter pylori (H. pylori) infection may be associated with colorectal polyps/adenomas, but the current evidence remains controversial.
METHODS: We retrospectively screened the medical records of 655 participants who underwent both colonoscopy and H. pylori test from June 15, 2020 to April 30, 2023. The number, size, location, and pathological type of colorectal polyps/adenomas were compared between H. pylori positive and negative groups. Adjusting for age, gender, smoking, drinking, hypertension, diabetes, fatty liver, body mass index, and inflammatory and metabolic indicators, multivariate logistic regression analyses were performed to evaluate the association of H. pylori infection with the number, size, location, and pathological type of colorectal polyps/adenomas, where no polyp/adenoma was used as reference.
RESULTS: Overall, 508 participants were included, of whom 154 and 354 were divided into H. pylori positive and negative groups, respectively. H. pylori positive group had significantly higher colorectal polyps/adenomas (74.7 % vs. 65.8 %, P=0.048), low-grade adenomas (55.7 % vs. 47.6 %, P=0.026), advanced adenomas (22.6 % vs. 13.3 %, P=0.008), and colorectal polyps/adenomas with sizes of ≥6 mm (61.7 % vs. 48.5 %, P=0.002) and ≥10 mm (25.2 % vs. 14.6 %, P=0.004) than H. pylori negative group. In multivariate logistic regression analyses, H. pylori infection was independently associated with low-grade adenomas (OR=2.677, 95 %CI=1.283-5.587, P=0.009), advanced adenomas (OR=3.017, 95 %CI=1.007-9.036, P=0.049), right-side colon polyps/adenomas (OR=5.553, 95 %CI=1.679-18.360, P=0.005), and colorectal polyps/adenomas with sizes of ≥10 mm (OR=4.436, 95 %CI=1.478-13.310, P=0.008), but not number of colorectal polyps/adenomas.
CONCLUSIONS: H. pylori infection is associated with increased risk of colorectal polyps/adenomas, especially low-grade adenomas, advanced adenomas, right-side colon polyps/adenomas, and large colorectal polyps/adenomas.

Background and aim Poor sleep is known to be associated with functional gastrointestinal (GI) problems in the general population, but the exact mechanisms underlying the relationship remain unclear. Deeper insights into the exact mechanisms underlying the connection may benefit individuals suffering from these conditions without efficient treatments. Therefore, this study investigated the association between functional GI symptom levels and sleep-related characteristics in the general population of Japan. Methods In this cross-sectional questionnaire-based observational study, data including the self-reported level of poor sleep and functional GI symptoms in the last one month were collected from consecutive individuals who visited a hospital in Miyagi Prefecture, Japan, for regular medical checkups between April 2020 and March 2023. The levels of other physical and mental conditions, such as stress at home, fatigability, irritability, thermoregulatory problems, and edema in the limbs, were measured with an 11-point Numerical Rating Scale (NRS) between 0 and 10. Additional sleep-related specific information, such as sleep length, wake-up time, bedtime, trouble falling asleep, and nocturnal awakening, were further collected. Correlations with functional GI symptoms in these characteristics were evaluated by bivariate correlation analyses and generalized regression analyses. Results A total of 151 consecutive adults aged ≥18 years (77 males and 74 females) participated in this study. In bivariate correlation analyses, chronic GI symptom levels were significantly correlated with stress at home (p=0.0005), fatigability (p=0.0008), irritability (p=0.0022), edema in the limbs (p<0.0001), and sleep problem (p<0.0001). In the following generalized regression analysis, significant correlations with GI symptom levels were observed in sleep problems (p=0.0042) and edema in the limbs (p=0.0256). Further bivariate correlation analyses using sleep-related subscales revealed that trouble falling asleep in bed (p=0.0001), midnight awakening (p=0.0143), and wakeup time (p=0.0465) were correlated with GI symptom levels. In the following generalized regression analysis, a significant correlation with GI symptom levels was observed in trouble falling asleep (p=0.0239). Conclusion Functional GI symptoms in the general population of Japan were associated with poor sleep, even after adjusting for daily stress and irritability levels. Among the sleep-related characteristics, trouble falling asleep was associated with GI dysfunctions. Assessing sleep-related information and achieving good sleep quality with smooth sleep induction may be a clue to relieving GI dysfunctions with uncertain causes.

OBJECTIVE: To explore the impact of hallux valgus (HV) on lower limb neuromuscular control strategies during the sit-to-stand (STS) movement, and to evaluate the effects of Kinesio taping (KT) intervention on these control strategies in HV patients.
METHODS: We included 14 young healthy controls (HY), 13 patients in the HV group (HV), and 11 patients in the HV group (HVI) who underwent a Kinesio taping (KT) intervention during sit-to-stand (STS) motions. We extracted muscle and kinematic synergies from EMG and motion capture data using non-negative matrix factorization (NNMF). In addition, we calculated the center of pressure (COP) and ground reaction forces (GRF) to assess balance performance.
RESULTS: There were no significant differences in the numbers of muscle and kinematic synergies between groups. In the HV group, knee flexors and ankle plantar flexors were abnormally activated, and muscle synergy D was differentiated. Muscle synergy D was not differentiated in the HVI group.
CONCLUSIONS: Abnormal activation of knee flexors and plantar flexors led to the differentiation of module D in HV patients, which can be used as an indicator of the progress of HV rehabilitation. KT intervention improved motor control mechanisms in HV patients.