Embedding technology into inter-professional best practices in home safety evaluation
In: Disability and rehabilitation. Assistive technology : special issue, Band 12, Heft 6, S. 585-591
ISSN: 1748-3115
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In: Disability and rehabilitation. Assistive technology : special issue, Band 12, Heft 6, S. 585-591
ISSN: 1748-3115
In: Disability and rehabilitation. Assistive technology : special issue, Band 17, Heft 6, S. 652-657
ISSN: 1748-3115
In: Ethnicity & disease: an international journal on population differences in health and disease patterns, Band 30, Heft 2, S. 339-348
ISSN: 1945-0826
Background and Purpose: Blacks have a higher burden of post-stroke disability. Factors associated with racial differences in long-term post-stroke disability are not well-understood. Our aim was to assess the long-term racial differences in risk factors associated with stroke recovery.Methods: We examined Health and Retirement Study (HRS) longitudinal interview data collected from adults living with stroke who were aged >50 years during 2000- 2014. Analysis of 1,002 first-time, non- Hispanic, Black (210) or White (792) stroke survivors with data on activities of daily living (ADL), fine motor skills (FMS) and gross motor skills (GMS) was conducted. Ordinal regression analysis was used to assess the impact of sex, race, household residents, household income, comorbidities, and the time since having a stroke on functional outcomes.Results: Black stroke survivors were younger compared with Whites (69 ± 10.4 vs 75 ± 11.9). The majority (~65%) of Black stroke survivors were female compared with about 54% White female stroke survivors (P=.007). Black stroke survivors had more household residents (P<.001) and comorbidities (P<.001). Aging, being female, being Black and a longer time since stroke were associated with a higher odds of having increased difficulty in ADL, FMS and/or GMS. Comorbidities were associated with increased difficulty with GMS. Black race increased the impact of comorbidities on ADL and FMS in comparison with Whites.Conclusion: Our data suggest that the effects of aging, sex and unique factors associated with race should be taken into consideration for future studies of post-stroke recovery and therapy.Ethn Dis. 2020;30(2):339-348; doi:10.18865/ ed.30.2.339
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.
BASE
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.
BASE