Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder.

Background: Multiple digital data sources can capture moment-to-moment information to advance a robust understanding of opioid use disorder (OUD) behavior, ultimately creating a digital phenotype for each patient. This information can lead to individualized interventions to improve treatment for OUD.

Objective: The aim is to examine patient engagement with multiple digital phenotyping methods among patients receiving buprenorphine medication for OUD.

Patient Preferences for Discussing Childhood Trauma in Primary Care.

Context: Exposure to traumatic events is common in primary care patients, yet health care professionals may be hesitant to assess and address the impact of childhood trauma in their patients.

Objective: To assess patient preferences for discussing traumatic experiences and posttraumatic stress disorder (PTSD) with clinicians in underserved, predominantly Latino primary care patients.

Design: Cross-sectional study.

Validity of the Multidimensional Health Locus of Control scales in American Sign Language.

Few instruments have been translated and validated for people who use American Sign Language (ASL) as their preferred language. This study examined the reliability and validity of a new ASL version of the widely used Multidimensional Health Locus of Control (MHLC) scales. Deaf individuals (N = 311) were shown the ASL version via videotape, and their responses were recorded.

Translation of the multidimensional health locus of control scales for users of American sign language.

This paper describes the translation of the Multidimensional Health Locus of Control (MHLC) scales into American Sign Language (ASL). Translation is an essential first step toward validating the instrument for use in the Deaf community, a commonly overlooked minority community. This translated MHLC/ASL can be utilized by public health nurses researching the Deaf community to create and evaluate targeted health interventions.

A web-compatible instrument for measuring self-reported disease activity in arthritis.

Objective: To describe a Web-based computer health assessment survey for patients with rheumatoid arthritis (RA) and to evaluate the survey in comparison with current paper versions.

Methods: Utilizing data from a study on RA, we compared results from 43 patients attending a university-based clinic who were each given a paper and a demonstration computer version of a patient self-assessment questionnaire including multiple-choice questions from a multi-dimensional Health Assessment Questionnaire (HAQ); visual analog scales (VAS) for pain, fatigue, and global disease severity; and a tender and swollen joint count reporting tool. Patients were given optional followup surveys to determine their opinion of the computer program.