This two-phase pilot study aimed to design, pilot, and refine an automated Interactive Voice Response (IVR) intervention to support antiretroviral adherence for people living with HIV (PLH), in Kolkata, India. Mixed-methods formative research included a community advisory board (CAB) for IVR message development, one-month pre-post pilot, post-pilot focus groups, and further message development. Two IVR calls are made daily, timed to patients’ dosing schedules, with brief messages (<1-minute) on strategies for self-management of three domains: medical (adherence, symptoms, co-infections), mental health (social support, stress, positive cognitions), and nutrition and hygiene (per PLH preferences). Three ART appointment reminders are also sent each month. One-month pilot results (n=46, 80% women, 60% sex workers) found significant increases in self-reported ART adherence, both within past three days (p=0.05) and time since missed last dose (p=0.015). Depression was common. Messaging content and assessment domains were expanded for testing in a randomized trial is currently underway.

Objective Assess the accuracy of ICD-10-CM coding of self-harm injuries and poisonings to identify self-harm events. Materials and Methods In 7 integrated health systems, records data identified patients reporting frequent suicidal ideation. Records then identified subsequent ICD-10-CM injury and poisoning codes indicating self-harm as well as selected codes in 3 categories where uncoded self-harm events might be found: injuries and poisonings coded as undetermined intent, those coded accidental, and injuries with no coding of intent. For injury and poisoning encounters with diagnoses in those 4 groups, relevant clinical text was extracted from records and assessed by a blinded panel regarding documentation of self-harm intent. Results Diagnostic codes selected for review include all codes for self-harm, 43 codes for undetermined intent, 26 codes for accidental intent, and 46 codes for injuries without coding of intent. Clinical text was available for review for 285 events originally coded as self-harm, 85 coded as undetermined intent, 302 coded as accidents, and 438 injury events with no coding of intent. Blinded review of full-text clinical records found documentation of self-harm intent in 254 (89.1%) of those originally coded as self-harm, 24 (28.2%) of those coded as undetermined, 24 (7.9%) of those coded as accidental, and 48 (11.0%) of those without coding of intent. Conclusions Among patients at high risk, nearly 90% of injuries and poisonings with ICD-10-CM coding of self-harm have documentation of self-harm intent. Reliance on ICD-10-CM coding of intent to identify self-harm would fail to include a small proportion of true self-harm events.

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Objective This study examined the association between individual‐ and neighborhood‐level sociodemographic factors and surgical weight loss at 1 year (short term) and 3 years (long term). Methods Data were obtained from the baseline survey of the BELONG (Bariatric Experience Long Term) prospective longitudinal cohort study. Individual‐level self‐reported data on sex, race and ethnicity, education, and household income were obtained by survey. Data from the 2010 US Census were used to calculate area Neighborhood Deprivation Index score and median value of owner‐occupied housing units at the census tract level. Results Patients (N = 1341) had a mean age of 43.4 (SD 11.3) years, were mostly female (86%), were mostly Black or Hispanic (52%), had some college education (83%), and had annual household incomes ≥$51,000 (55%). Percentage total weight loss was 25.8% (SD 9.0%) at year 1 and 22.2% (SD 10.5%) at year 3. Race and ethnicity and age were significant predictors of weight loss at 1 and 3 years with a small effect of self‐reported household income at year 1. There were no significant associations between census tract–level Neighborhood Deprivation Index score or value of owner‐occupied housing units and weight loss at either time point. Conclusions Health systems could improve the chances of weight‐loss maintenance after surgery by addressing factors related to racial and ethnic disparities and to income disparities.

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