Suchergebnisse

Effective conceptualizations of research burden should address indirect burdens related to research duration, intensity, and invasiveness. Introducing the concept of perceived research burden, we developed, tested, and validated a new instrument, the Perceived Research Burden Assessment (PeRBA). Initial psychometric evaluation of PeRBA reveals good internal consistency, evidence of face validity, and acceptable convergent and discriminant validity.

The purpose of our scoping review was to describe the current use of mHealth technology for long-term assessment of patient-reported outcomes in community-dwelling individuals with acquired brain injury (ABI). Following PRISMA guidelines, we conducted a scoping review of literature meeting these criteria: (1) civilians or military veterans, all ages; (2) self-reported or caregiver-reported outcomes assessed via mobile device in the community (not exclusively clinic/hospital); (3) published in English; (4) published in 2015–2019. We searched Ovid MEDLINE(R) < 1946 to 16 August 2019, MEDLINE InProcess, EPub, Embase, and PsycINFO databases for articles. Thirteen manuscripts representing 12 distinct studies were organized by type of ABI [traumatic brain injury (TBI) and stroke] to extract outcomes, mHealth technology used, design, and inclusion of ecological momentary assessment (EMA). Outcomes included post-concussive, depressive, and affective symptoms, fatigue, daily activities, stroke risk factors, and cognitive exertion. Overall, collecting patient-reported outcomes via mHealth was feasible and acceptable in the chronic ABI population. Studies consistently showed advantage for using EMA despite variability in EMA timing/schedules. To ensure best clinical measurement, research on post-ABI outcomes should consider EMA designs (versus single time-point assessments) that provide the best timing schedules for their respective aims and outcomes and that leverage mHealth for data collection.

The purpose of our scoping review was to describe the current use of mHealth technology for long-term assessment of patient-reported outcomes in community-dwelling individuals with acquired brain injury (ABI). Following PRISMA guidelines, we conducted a scoping review of literature meeting these criteria: (1) civilians or military veterans, all ages; (2) self-reported or caregiver-reported outcomes assessed via mobile device in the community (not exclusively clinic/hospital); (3) published in English; (4) published in 2015-2019. We searched Ovid MEDLINE(R) < 1946 to 16 August 2019, MEDLINE InProcess, EPub, Embase, and PsycINFO databases for articles. Thirteen manuscripts representing 12 distinct studies were organized by type of ABI [traumatic brain injury (TBI) and stroke] to extract outcomes, mHealth technology used, design, and inclusion of ecological momentary assessment (EMA). Outcomes included post-concussive, depressive, and affective symptoms, fatigue, daily activities, stroke risk factors, and cognitive exertion. Overall, collecting patient-reported outcomes via mHealth was feasible and acceptable in the chronic ABI population. Studies consistently showed advantage for using EMA despite variability in EMA timing/schedules. To ensure best clinical measurement, research on post-ABI outcomes should consider EMA designs (versus single time-point assessments) that provide the best timing schedules for their respective aims and outcomes and that leverage mHealth for data collection.

Abstract

Aims
Given the importance of addressing provider attitudes toward individuals with unhealthy alcohol use and the current emphasis on person-centered language to help decrease stigma and mitigate negative attitudes, the aim of this study was to evaluate the psychometric properties of a contemporary version of the Alcohol and Alcohol Problems Perception Questionnaire (AAPPQ) that uses person-centered language and addresses the spectrum of alcohol use.


Methods
The authors created a person-centered version of the AAPPQ (PC-AAPPQ) and conducted a cross-sectional study of its psychometric properties in academic settings in the Northeastern United States. The PC-AAPPQ was administered to 651 nursing students. Reliability analysis of the new instrument was performed using the total sample. Only surveys with complete data (n = 637) were randomly split into two datasets, one used for the exploratory factor analysis (EFA) (n = 310) and the other for confirmatory factor analysis (CFA) (n = 327).


Results
Compared to all the models generated from the EFA, neither the original six-factor structure nor the five-factor structure was superior to any of the other models. The results indicate that a seven-factor structure with all 30 items is the best fit for the PC-AAPPQ.


Conclusions
The PC-AAPPQ represents a positive effort to modernize the four-decade-old AAPPQ. This 30-item instrument, which adds one additional subscale, offers a means to assess providers' attitudes using respectful wording that avoids perpetuating negative biases and reinforces efforts to affirm the worth and dignity of the population being treated.