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Preliminary needs assessment of mobile technology use for healthcare among homeless veterans.

ABSTRACT: Background. Homeless veterans have complex healthcare needs, but experience many barriers to treatment engagement. While information technologies (IT), especially mobile phones, are used to engage patients in care, little is known about homeless veterans' IT use. This study examines homeless veterans' access to and use of IT, attitudes toward health-related IT use, and barriers to IT in the context of homelessness. Methods. Qualitative interviews were conducted with 30 homeless veterans in different housing programs in Boston, MA, ranging from emergency shelters to supportive transitional housing that allow stays of up to 2 years. Interviews were conducted in person, audio recorded and then transcribed. Three researchers coded transcripts. Inductive thematic analysis was used. Results. Most participants (90%) had a mobile phone and were receptive to IT use for health-related communications. A common difficulty communicating with providers was the lack of a stable mailing address. Some participants were using mobile phones to stay in touch with providers. Participants felt mobile-phone calls or text messages could be used to remind patients of appointments, prescription refills, medication taking, and returning for laboratory results. Mobile phone text messaging was seen as convenient, and helped participants stay organized because necessary information was saved in text messages. Some reported concerns about the costs associated with mobile phone use (calls and texting), the potential to be annoyed by too many text messages, and not knowing how to use text messaging. Conclusion. Homeless veterans use IT and welcome its use for health-related purposes. Technology-assisted outreach among this population may lead to improved engagement in care.

SUBMITTER: McInnes DK

PROVIDER: S-EPMC4525686 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Preliminary needs assessment of mobile technology use for healthcare among homeless veterans.

McInnes D Keith DK Fix Gemmae M GM Solomon Jeffrey L JL Petrakis Beth Ann BA Sawh Leon L Smelson David A DA

PeerJ 20150730

Background. Homeless veterans have complex healthcare needs, but experience many barriers to treatment engagement. While information technologies (IT), especially mobile phones, are used to engage patients in care, little is known about homeless veterans' IT use. This study examines homeless veterans' access to and use of IT, attitudes toward health-related IT use, and barriers to IT in the context of homelessness. Methods. Qualitative interviews were conducted with 30 homeless veterans in diffe ...[more]

PMID: 26246964

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Project description:ObjectivesThe homeless population is aging, and their use of nursing homes is not well understood. We compared comorbidities (substance use, mental health conditions, and physical illness) and nursing home measures (source of admission, length of stay, and mortality in the facility) of veterans who were homeless, at risk for being homeless, or stably housed in the year prior to admission.DesignCross-sectional analysis.Setting and participantsAll veterans admitted to a nursing home between January 2010 and December 2016 and their housing status in the year prior to their nursing home admission.MeasurementsAdjusted relative risks (ARRs) for the association between housing status, comorbidities, and nursing home measures.ResultsVeterans who were homeless in the year prior to their community nursing home admission were younger (n = 3355; 62.5 years [SD = 10.3 years]) at admission compared to stably housed veterans (n = 64 884; 75.3 years [SD = 11.9 years]). After adjustment for demographic characteristics, homeless veterans were more likely to have diagnoses for alcohol abuse (ARR = 2.18; 95% confidence interval [CI] = 2.05-2.31), drug abuse (ARR = 3.03; 95% CI = 2.74-3.33), mental health condition (ARR = 1.49; 95% CI = 1.45-1.54), dementia (ARR = 1.14; 95% CI = 1.04-1.25), liver disease (ARR = 1.32; 95% CI = 1.23-1.41), lung disease (ARR = 1.08; 95% CI = 1.04-1.13), and trimorbidity (co-occurring substance abuse, mental illness, and physical illness) (ARR = 2.57; 95% CI = 2.40-2.74) compared to stably housed veteran nursing home users. Homeless veterans were more likely to be admitted to a nursing home from a hospital (ARR = 1.13; 95% CI = 1.08-1.17) and remain in the nursing home 90 days after admission (ARR = 1.10; 95% CI = 1.04-1.16), but were less likely to die in the facility (ARR = 0.72; 95% CI = 0.67-0.78) compared to stably housed veterans.ConclusionsHomeless veteran nursing home users have different characteristics than stably housed veteran nursing home users. These differences may challenge nursing home staff caring for homeless patients. Nursing homes should assess resident housing status to help provide linkages with existing social services. J Am Geriatr Soc 67:1707-1712, 2019.

Project description:Rationale & objectiveDigital and mobile health (mHealth) technologies improve patient-provider communication and increase information accessibility. We assessed the use of technology, attitudes toward using mHealth technologies, and proficiency in using mHealth technologies among individuals with chronic kidney disease (CKD).Study designCross-sectional survey with open text responses.Setting & participantsChronic Renal Insufficiency Cohort (CRIC) Study participants who completed current use and interest in using mHealth technologies questionnaires and the eHealth literacy Survey (eHEALS).ExposureParticipant characteristics.OutcomesUse of technology (ie, internet, email, smartphone, and mHealth applications [apps]), interest in future mHealth use, and proficiency in using digital and mHealth technologies, or eHealth literacy, determined by eHEALS score.Analytical approachPoisson regression and a qualitative content analysis of open-ended responses.ResultsStudy participants (n = 932) had a mean age of 68 years old and an estimated glomerular filtration rate (eGFR) of 54 mL/min/1.73 m2, and 59% were male. Approximately 70% reported current use of internet, email, and smartphones, and 35% used mHealth apps; only 27% had adequate eHealth literacy (eHEALS score ≥ 32). Participants <65 years of age (vs. ≥65), with more education, higher income, better cognition, and adequate health literacy reported more use of technology, and greater interest in using technologies. Participants of White (vs. non-White) race reported more use of internet and email but less interest in future use of mHealth. Younger age, higher annual income, and greater disease self-efficacy were associated with adequate eHealth literacy. Three themes regarding interest in using digital and mHealth technologies emerged: willingness, concerns, and barriers.LimitationsResidual confounding, ascertainment bias.ConclusionsMany individuals with CKD currently use the internet and smartphones and are interested in using mHealth in the future, but few use mHealth apps or have adequate eHealth literacy. mHealth technologies present an opportunity to engage individuals with CKD, especially members of racial or ethnic minority groups because those groups reported greater interest in using mHealth technology than the nonminority population. Further research is needed to identify strategies to overcome inadequate eHealth literacy.

Project description:ObjectiveEarly in the COVID-19 pandemic, US Veterans Health Administration (VHA) employee occupational health (EOH) providers were tasked with assuming a central role in coordinating employee COVID-19 screening and clearance for duty, representing entirely novel EOH responsibilities. In a rapid qualitative needs assessment, we aimed to identify learnings from the field to support the vastly expanding role of EOH providers in a national healthcare system.MethodsWe employed rapid qualitative analysis of key informant interviews in a maximal variation sample on the parameters of job type, rural versus urban and provider gender. We interviewed 21 VHA EOH providers between July and December 2020. This sample represents 15 facilities from diverse regions of the USA (large, medium and small facilities in the Mid-Atlantic; medium sites in the South; large facilities in the West and Pacific Northwest).ResultsFive interdependent needs included: (1) infrastructure to support employee population management, including tools that facilitate infection control measures such as contact tracing (eg, employee-facing electronic health records and coordinated databases); (2) mechanisms for information sharing across settings (eg, VHA listserv), especially for changing policy and protocols; (3) sufficiently resourced staffing using detailing to align EOH needs with human resource capital; (4) connected and resourced local and national leaders; and (5) strategies to support healthcare worker mental health.Our identified facilitators for EOH assuming new challenging and dynamically changing roles during COVID-19 included: (A) training or access to expertise; (B) existing mechanisms for information sharing; (C) flexible and responsive staffing; and (D) leveraging other institutional expertise not previously affiliated with EOH (eg, chaplains to support bereavement).ConclusionsOur needs assessment highlights local and system level barriers and facilitators of EOH assuming expanded roles during COVID-19. Integrating changes both within and across systems and with alignment of human capital will enable EOH preparedness for future challenges.

Project description:BackgroundHomelessness is associated with poor health outcomes, including lack of access to care. Homelessness experienced in rural areas is understudied but likely associated with difficulty accessing needed services. Prior studies have assessed the extent to which Veterans experiencing homelessness in rural areas "migrate" to urban areas, but have not focused on changes in services utilization following migration.ObjectiveTo determine whether Veterans with a history of homelessness experience changes in the use of homeless and health services following a migration from a rural to urban residence, and vice versa, and to assess the magnitude of those changes.DesignLongitudinal retrospective analysis of services use among Veterans identified as experiencing homelessness and migrating at least 40 miles or from an urban to a rural area or vice versa.ParticipantsA total of 81,620 Veterans with incident homelessness who experienced a migration and for whom we could establish 2 quarters of both pre-migration and post-migration service utilization.Main measuresIn addition to sociodemographic and health-related factors, we assessed index location and destination using geographic descriptors both residential address and Veteran Affairs (VA) facility where Veterans were identified as experiencing homelessness. Outcomes included continuous measures of homeless services and outpatient care and dichotomous measures of emergency department use and inpatient admissions.Key resultsRegardless of a Veteran's index location, migration to or within a rural area was associated with a significant decrease in the number of homeless and outpatient services and reduced risk of emergency department use or inpatient admission relative to migration to or within an urban area.ConclusionControlling for sociodemographic and health-related factors, Veterans experiencing homelessness who had a residential migration to or within a rural area had a significant reduction in their use of VA health and homeless services compared to those who migrated to or within an urban area.

Project description:BackgroundToday, college students are dealing with depression at some of the highest rates in decades. As the primary mental health service provider, university counseling centers are limited in their capacity and efficiency to provide mental health care due to time constraints and reliance on students' self-reports. A mobile behavioral-sensing platform may serve as a solution to enhance the efficiency and accessibility of university counseling services.ObjectiveThe main objectives of this study are to (1) understand the usefulness of a mobile sensing platform (ie, iSee) in improving counseling services and assisting students' self-management of their depression conditions, and (2) explore what types of behavioral targets (ie, meaningful information extracted from raw sensor data) and feedback to deliver from both clinician and students' perspectives.MethodsWe conducted semistructured interviews with 9 clinicians and 12 students with depression recruited from a counseling center at a large Midwestern university. The interviews were 40-50 minutes long and were audio recorded and transcribed. The interview data were analyzed using thematic analysis with an inductive approach. Clinician and student interviews were analyzed separately for comparison. The process of extracting themes involved iterative coding, memo writing, theme revisits, and refinement.ResultsFrom the clinician perspective, the mobile sensing platform helps to improve counseling service by providing objective evidence for clinicians and filling gaps in clinician-patient communication. Clinicians suggested providing students with their sensed behavioral targets organized around personalized goals. Clinicians also recommended delivering therapeutic feedback to students based on their sensed behavioral targets, including positive reinforcement, reflection reminders, and challenging negative thoughts. From the student perspective, the mobile sensing platform helps to ease continued self-tracking practices. Students expressed their need for integrated behavioral targets to understand correlations between behaviors and depression. They also pointed out that they would prefer to avoid seeing negative feedback.ConclusionsAlthough clinician and student participants shared views on the advantages of iSee in supporting university counseling, they had divergent opinions on the types of behavioral targets and feedback to be provided via iSee. This exploratory work gained initial insights into the design of a mobile sensing platform for depression management and informed a more conclusive research project for the future.

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Preliminary needs assessment of mobile technology use for healthcare among homeless veterans.

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Preliminary needs assessment of mobile technology use for healthcare among homeless veterans.

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