Development and validation of a risk score to predict the frequent emergency house calls among older people who receive regular home visits

Emergency visits for end-of-life patients receiving physician-led home care in Japan: A retrospective observational study

To clarify the patterns, reasons, and patient characteristics associated with emergency visits in the final 30 days of life for patients receiving home care in Japan. We conducted a retrospective analysis of emergency visits made by home care physicians to patients who died while receiving home care in 2018. Data on patient characteristics and emergency visits during the final 30 days of life were extracted from medical records. Poisson regression analysis was used to identify factors associated with emergency visit frequency. Among 83 end-of-life patients (median age 84 years, 49.4% male), a total of 86 emergency visits were recorded. These visits occurred most frequently in the days immediately preceding death, with 40.7% occurring within 5 days before death. Visits were more common during afternoons (37.2%) and weekends (39.6%). The primary reasons for visits included respiratory distress (20.9%), clinical assessment (14.0%), and neurological symptoms (12.8%). While some visits resulted in medication prescriptions (26.7%) or laboratory tests (22.1%), 36.1% involved observation only. Multivariable analysis revealed that longer duration of home care was associated with increased emergency visit frequency (31-365 days: relative risk [RR] 2.30, 95% confidence interval [CI]: 1.16-4.54; >365 days: RR 3.00, 95% CI: 1.56-5.78), while younger age was associated with increased visits (≤79 years: RR 2.04, 95% CI: 1.19-3.47). Emergency home visits in the terminal phase often clustered near death and frequently resulted in observation only, suggesting that some visits may be driven more by caregiver anxiety than medical urgency. Additionally, care level appeared to play a limited role during this period. These findings highlight the need for proactive symptom management, caregiver support, and scalable approaches such as telehealth to optimize end-of-life care.

"You Think We are in the Stone Age, but We Have Already Made Progress-Where are You?": A Qualitative Study of Ultra-orthodox Women's Telemedicine Service Usage in Israel

This study explores Ultra-Orthodox Jewish women's attitudes toward video-consultation usage in Israeli primary care settings. In-depth interviews were conducted with twenty-two women from diverse Ultra-Orthodox communities in Israel, using interpretative phenomenological analysis. Despite traditionally limited digital tool usage, participants showed readiness for video-consultations' adoption through dedicated 'kosher' medical devices. Key motivations included after-hours accessibility, convenience, and privacy, while barriers involved cultural stigma and technology concerns. Healthcare organizations should develop dedicated telemedicine devices aligned with religious values, offering insights for implementing culturally sensitive services for religious minority groups.

Development and Validation of the Pharmacological Statin-Associated Muscle Symptoms Risk Stratification Score Using Electronic Health Record Data

Statin-associated muscle symptoms (SAMS) can lead to statin nonadherence. This paper aims to develop a pharmacological SAMS risk stratification (PSAMS-RS) score using a previously developed PSAMS phenotyping algorithm that distinguishes objective vs. nocebo SAMS using electronic health record (EHR) data. Using our PSAMS phenotyping algorithm, SAMS cases and controls were identified from Minnesota Fairview EHR, with the statin user cohort divided into derivation (January 1, 2010, to December 31, 2018) and validation (January 1, 2019, to December 31, 2020) cohorts. A Least Absolute Shrinkage and Selection Operator regression model was applied to identify significant features for PSAMS. PSAMS-RS scores were calculated and the clinical utility of stratifying PSAMS risk was assessed by comparing hazard ratios (HRs) between fourth vs. first score quartiles. PSAMS cases were identified in 1.9% (310/16,128) of the derivation and 1.5% (64/4,182) of the validation cohorts. Sixteen out of 38 clinical features were determined to be significant predictors for PSAMS risk. Patients within the fourth quartile of the PSAMS scores had an over sevenfold (HR: 7.1, 95% confidence interval (CI): 4.03-12.45, derivation cohort) or sixfold (HR: 6.1, 95% CI: 2.15-17.45, validation cohort) higher hazard of developing PSAMS vs. those in their respective first quartile. The PSAMS-RS score is a simple tool to stratify patients' risk of developing PSAMS after statin initiation which could inform clinician-guided pre-emptive measures to prevent PSAMS-related statin nonadherence.

Development and validation of the pharmacological statin-associated muscle symptoms risk stratification (PSAMS-RS) score using real-world electronic health record data

Introduction

Statin-associated muscle symptoms (SAMS) contribute to the nonadherence to statin therapy. In a previous study, we successfully developed a pharmacological SAMS (PSAMS) phenotyping algorithm that distinguishes objective versus nocebo SAMS using structured and unstructured electronic health records (EHRs) data. Our aim in this paper was to develop a pharmacological SAMS risk stratification (PSAMS-RS) score using these same EHR data.

Method

Using our PSAMS phenotyping algorithm, SAMS cases and controls were identified using University of Minnesota (UMN) Fairview EHR data. The statin user cohort was temporally divided into derivation (1/1/2010 to 12/31/2018) and validation (1/1/2019 to 12/31/2020) cohorts. First, from a feature set of 38 variables, a Least Absolute Shrinkage and Selection Operator (LASSO) regression model was fitted to identify important features for PSAMS cases and their coefficients. A PSAMS-RS score was calculated by multiplying these coefficients by 100 and then adding together for individual integer scores. The clinical utility of PSAMS-RS in stratifying PSAMS risk was assessed by comparing the hazard ratio (HR) between 4th vs 1st score quartile.

Results

PSAMS cases were identified in 1.9% (310/16128) of the derivation and 1.5% (64/4182) of the validation cohort. After fitting LASSO regression, 16 out of 38 clinical features were determined to be significant predictors for PSAMS risk. These factors are male gender, chronic pulmonary disease, neurological disease, tobacco use, renal disease, alcohol use, ACE inhibitors, polypharmacy, cerebrovascular disease, hypothyroidism, lymphoma, peripheral vascular disease, coronary artery disease and concurrent uses of fibrates, beta blockers or ezetimibe. After adjusting for statin intensity, patients in the PSAMS score 4th quartile had an over seven-fold (derivation) (HR, 7.1; 95% CI, 4.03-12.45) and six-fold (validation) (HR, 6.1; 95% CI, 2.15-17.45) higher hazard of developing PSAMS versus those in 1st score quartile.

Conclusion

The PSAMS-RS score can be a simple tool to stratify patients' risk of developing PSAMS after statin initiation which can facilitate clinician-guided preemptive measures that may prevent potential PSAMS-related statin non-adherence.

Nationwide Database Analysis of Risk Factors Associated with Decreased Activities of Daily Living in Patients with Alzheimer's Disease

BACKGROUND

Preserving activities of daily living (ADL) is the key issue for Alzheimer's disease (AD) patients and their caregivers.

OBJECTIVE

To clarify the ADL level of AD patients at diagnosis and the risk factors associated with decreased ADL during long-term care (≤3 years).

METHODS

Medical records of AD patients in a Japanese health insurance claims database were analyzed retrospectively to determine ADL using the Barthel Index (BI) and identify the risk factors associated with decreased ADL.

RESULTS

A total of 16,799 AD patients (mean age at diagnosis: 83.6 years, 61.5% female) were analyzed. Female patients were older (84.6 versus 81.9 years; p < 0.001) and had lower BI (46.8 versus 57.6; p < 0.001) and body mass index (BMI) (21.0 versus 21.7 kg/m2; p < 0.001) than male patients at diagnosis. Disability (BI≤60) increased at age≥80 years and was significantly higher in females. Complete disability was most frequent for bathing and grooming. Risk factors for decreased ADL were determined separately by sex through comparing the ADL-preserved and ADL-decreased groups using propensity score matching by age and BI and multivariable logistic regression analysis. In males, decreased ADL was significantly associated with BMI < 21.5 kg/m2, stroke, and hip fracture, and inversely associated with hyperlipidemia. In females, decreased ADL was significantly associated with BMI < 21.5 kg/m2 and vertebral and hip fractures, and inversely associated with lower back pain.

CONCLUSION

AD patients with low BMI, stroke, and fractures had increased risks of decreased ADL; such patients should be identified early and managed appropriately, including rehabilitation to preserve ADL.