Tobacco in hotels: A study of smoke exposure and resident risk.

Objectives: Extended-stay hotels (ESH) are a reliable and accessible housing option for low-income, minoritized renters, who are disproportionately exposed to secondhand and thirdhand cigarette smoke (SHS and THS). This study explores ESH residents' perceptions of their SHS and THS exposure, harms related to this exposure, their willingness to mitigate these harms, and the contextual factors associated with smoking in hotels.

Methods: Eighty ESH renters from the metropolitan Atlanta region were recruited to complete a survey about the perceived harm and persistence of tobacco smoke, exposure experiences, knowledge, attitudes, self-efficacy, and intentions to protect oneself.

Family Caregiver Comfort with Telehealth Technologies: Differences by Race and Ethnicity in a Cross-Sectional Survey.

Telehealth has seen widespread use since the onset of the COVID-19 pandemic, and 82% patients required assistance in accessing their telehealth appointments. This assistance commonly comes from a family caregiver who may or may not be comfortable using the technologies associated with telehealth. The objective of our study was to analyze a demographically representative survey of U.

Food Insecurity and Food Access Among Women in Northern New England During the Perinatal Period.

Objective: To describe the experience of food insecurity and food access among women in northern New England during the perinatal period.

Design: Qualitative descriptive.

Setting: Hospital system in northern New England.

: Psychological distress and coping among medical social workers during the COVID-19 pandemic.

Medical social workers are essential members of healthcare teams, especially during a pandemic. Their scope of practice includes conducting psychological assessments, coordinating social services, connecting patients to resources that address social determinants of health, discharge planning, and patient advocacy. Social workers' experiences of psychological distress were unique even before the COVID-19 pandemic; their work demands a high amount of emotional investment as they frequently witness others' pain and suffering and navigate various daily challenges and crises.

High Rates of Multimorbidity Reported Among People of Color Despite Healthy Weight.

Purpose: Weight management is one of the most cited levers for preventing and managing many chronic conditions, particularly those considered to be "lifestyle modifiable." However, it is unclear how much weight is a driver of illness burden among people of color. This article sought to examine whether people of color are more likely to develop "lifestyle-modifiable" conditions, including diabetes, kidney disease, heart disease, lung disease, and hypertension, both individually and in combination (multimorbidity), in the absence of being obese.

An Audio Personal Health Library of Clinic Visit Recordings for Patients and Their Caregivers (HealthPAL): User-Centered Design Approach.

Background: Providing digital recordings of clinic visits to patients has emerged as a strategy to promote patient and family engagement in care. With advances in natural language processing, an opportunity exists to maximize the value of visit recordings for patients by automatically tagging key visit information (eg, medications, tests, and imaging) and linkages to trustworthy web-based resources curated in an audio-based personal health library.

Objective: This study aims to report on the user-centered development of HealthPAL, an audio personal health library.

Natural language processing for automated annotation of medication mentions in primary care visit conversations.

Objectives: The objective of this study is to build and evaluate a natural language processing approach to identify medication mentions in primary care visit conversations between patients and physicians.

Materials And Methods: Eight clinicians contributed to a data set of 85 clinic visit transcripts, and 10 transcripts were randomly selected from this data set as a development set. Our approach utilizes Apache cTAKES and Unified Medical Language System controlled vocabulary to generate a list of medication candidates in the transcribed text and then performs multiple customized filters to exclude common false positives from this list while including some additional common mentions of the supplements and immunizations.