GPS Mobile Health Intervention Among People Experiencing Homelessness: Pre-Post Study

The Interactive Care Coordination and Navigation mHealth Intervention for People Experiencing Homelessness: Cost Analysis, Exploratory Financial Cost-Benefit Analysis, and Budget Impact Analysis

Background

The Interactive Care Coordination and Navigation (iCAN) mobile health intervention aims to improve care coordination and reduce hospital and emergency department visits among people experiencing homelessness.

Objective

This study aimed to conduct a three-part economic evaluation of iCAN, including a (1) cost analysis, (2) exploratory financial cost-benefit analysis, and (3) budget impact analysis (BIA).

Methods

We collected cost and expenditure data from a randomized controlled trial of iCAN to conduct a cost analysis and exploratory financial cost-benefit analysis. Costs were classified as startup and recurring costs for participants and the program. Startup costs included participant supplies for each participant and SMS implementation costs. Recurring costs included the cost of recurring services, SMS text messaging platform maintenance, health information access fees, and personnel salaries. Using the per participant per year (PPPY) costs of iCAN, the minimum savings reduction in the average health care costs among people experiencing homelessness that would lead to a benefit-cost ratio >1 for iCAN was calculated. This savings threshold was calculated by dividing the PPPY cost of iCAN by the average health care costs among people experiencing homelessness multiplied by 100%. The benefit-cost ratio of iCAN was calculated under different savings thresholds from 0% (no savings) to 50%. Costs were calculated PPPY under different scenarios, and the results were used as inputs in a BIA. A probabilistic sensitivity analysis was conducted to incorporate uncertainty around cost estimates. Costs are in 2022 US $.

Results

The total cost of iCAN was US $2865 PPPY, which was made up of US $265 in startup (9%) and US $2600 (91%) in recurring costs PPPY. The minimum savings threshold that would cause iCAN to have a positive return on investment is 7.8%. This means that if average health care costs (US $36,917) among people experiencing homelessness were reduced by more than 7.8% through iCAN, the financial benefits would outweigh the costs of the intervention. When health care costs are reduced by 25% ($9229/$36,917; equal to 56% [$9229/$16,609] of the average cost of an inpatient visit), the benefit-cost ratio is 3.22, which means that iCAN produces US $2.22 in health care savings per US $1 spent. The BIA estimated that implementing iCAN for 10,250 people experiencing homelessness over 5 years would have a financial cost of US $28.7 million, which could be reduced to US $2.2 million if at least 8% ($2880/$36,917) of average health care costs among people experiencing homelessness are reduced through the intervention.

Conclusions

If average costs of emergency department and hospital visits among people experiencing homelessness were reduced by more than 7.8% ($2880/$36,917) through iCAN, the financial benefits would outweigh the costs of the intervention. As the savings threshold increases, it results in a higher benefit-cost ratio.

A Lifeline to Fill the Silence of Homelessness: Person-Centered Analysis of Digital Coping and Links to Mental and Physical Health

Individuals experiencing homelessness are among the most vulnerable population for mental and physical health disparities. Despite navigating numerous stressors on a day-to-day basis, they are vastly underrepresented within coping research. Using a person-centered approach, this study addresses ways in which technology is leveraged to manage ongoing stressors associated with the experience of homelessness. We employed a two-step and k-means cluster analysis within a sample of unhoused individuals (n = 66). Two distinct clusters emerged, revealing unique patterning of digital coping, stress, self-efficacy, and technology use. Resulting clusters were validated across numerous health outcomes, including mental and physical health problems, as well as digital service use and experience of homelessness. High digital coping/low self-efficacy individuals (65% of sample) reported high levels of digital self-efficacy, yet lower levels of general self-efficacy. In contrast, low digital engagement/high self-efficacy individuals (35% of sample) engaged in relatively lower digital coping and technology use, with lower stress and higher general self-efficacy. High digital coping/low self-efficacy individuals, in turn, reported more mental and physical health problems; whereas low digital engagement/high self-efficacy reported somewhat decreased digital access. Relatively few differences emerged between the clusters on experiences of homelessness. Due to the transient nature of unhoused people, reaching such vulnerable populations via technology to support their digital coping and subsequently enhance well-being outcomes represents a critical next step for digital equity. This population is poised to benefit from digital equity efforts, with critical implications for reduced health disparities.

Pathways of Individuals Experiencing Serious Illness While Homeless: An Exploratory 4-Point Typology from the RASCAL-UP Study

The shifting age demographics of those experiencing homelessness in the United States expose shortcomings and barriers within homelessness response services and safety-net healthcare to address serious illness. The purpose of this study is to describe the common trajectories of patients concurrently experiencing homelessness and serious illness. As a part of the Research, Action, and Supportive Care at Later-life for Unhoused People (RASCAL-UP) study, the study uses patient charts (n = 75) from the only specialty palliative care program in the U.S. specifically for people experiencing homelessness. Through a thematic mixed-method analysis, a four-point typology of care pathways taken by people experiencing homelessness while seriously ill is introduced: (1) aging and dying-in-place within the housing care system; (2) frequent transitions during serious illness; (3) healthcare institutions as housing; and (4) housing as palliation. Implications of this exploratory typology include targeted, site-specific interventions for supporting goal-concordant patient care and assisting researchers and policy makers in appreciating heterogeneity in experience and need among older and chronically ill people experiencing homelessness and housing precarity.

Attending to the Mental Health of People Who Are Homeless by Mobile Telephone Follow-Up: A Systematic Review

BACKGROUND

More than 20% of the world's population has no decent or suitable home. People who are homeless have more health problems than the rest of the population, especially mental health-type problems. The main objective of this study was to identify follow-up interventions by using mobile telephones to improve the mental health of people who are homeless and to analyze their efficiency.

METHODS

To do so, a systematic review was carried out in the Web of Science, PubMed, Scopus, Ebscohost, and PsyInfo databases.

RESULTS

Studies conclude that mobile phone use is a suitable means to improve adherence to medication and the mental health of the homeless. However, significant attempts to demonstrate health benefits by means of reliable and valid instruments that supplement qualitative satisfaction and feedback instruments appear to be lacking.

CONCLUSIONS

The literature about mental health benefits through technology for people who are homeless is scarce and shows methodological limitations that can lead to failure when setting up methodologies in clinical practice.

The Implementation of a GPS-Based Location-Tracking Smartphone App in South Africa to Improve Engagement in HIV Care: Randomized Controlled Trial

BACKGROUND

Mobile health interventions are common in public health settings in Africa, and our preliminary work showed that smartphones are increasing in South Africa. We developed a novel smartphone app-CareConekta-that used GPS location data to characterize personal mobility to improve engagement in HIV care among pregnant and postpartum women living with HIV in South Africa. The app also used the user's location to map nearby clinics.

OBJECTIVE

We aimed to describe the feasibility, acceptability, and initial efficacy of using the app in a real-world setting.

METHODS

We conducted a prospective randomized controlled trial at a public sector clinic near Cape Town, South Africa. We enrolled 200 pregnant (third trimester) women living with HIV who owned a smartphone that met the required specifications. All participants installed the app, designed to collect 2 GPS heartbeats per day to geolocate the participant within a random 1-km fuzzy radius (for privacy). We randomized (1:1) participants to a control arm to receive the app with no additional support or an intervention arm to receive supportive phone calls, WhatsApp (Meta Platforms, Inc) messages, or both from the study team when traveling >50 km from the study area for >7 days. In addition to mobility data collected daily through the phone, participants completed questionnaires at enrollment and follow-up (approximately 6 months post partum).

RESULTS

A total of 7 participants were withdrawn at enrollment or shortly after because of app installation failure (6/200, 3%) or changing to an unsuitable phone (1/200, 0.50%). During the study period, no participant's smartphone recorded at least 1 heartbeat per day, which was our primary feasibility measure. Of the 171 participants who completed follow-up, only half (91/171, 53.2%) reported using the same phone as that used at enrollment, with the CareConekta app still installed on the phone and GPS usually enabled. The top reasons reported for the lack of heartbeat data were not having mobile data, uninstalling the app, and no longer having a smartphone. Acceptability measures were positive, but participants at follow-up demonstrated a lack of understanding of the app's purpose and function. The clinic finder was a popular feature. Owing to the lack of consistent GPS heartbeats throughout the study, we were unable to assess the efficacy of the intervention.

CONCLUSIONS

Several key challenges impeded our study feasibility. Although the app was designed to reverse bill participants for any data use, the lack of mobile data was a substantial barrier to our study success. Participants reported purchasing WhatsApp data, which could not support the app. Problems with the web-based dashboard meant that we could not consistently monitor mobility. Our study provides important lessons about implementing an ambitious GPS-based study under real-world conditions in a limited-resource setting.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03836625; https://clinicaltrials.gov/ct2/show/NCT03836625.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s13063-020-4190-x.

Multilevel Determinants of Digital Health Equity: A Literature Synthesis to Advance the Field

Current digital health approaches have not engaged diverse end users or reduced health or health care inequities, despite their promise to deliver more tailored and personalized support to individuals at the right time and the right place. To achieve digital health equity, we must refocus our attention on the current state of digital health uptake and use across the policy, system, community, individual, and intervention levels. We focus here on (a) outlining a multilevel framework underlying digital health equity; (b) summarizingfive types of interventions/programs (with example studies) that hold promise for advancing digital health equity; and (c) recommending future steps for improving policy, practice, and research in this space.

Acceptability of a mobile sensing application to characterize community integration among homeless-experienced veterans

Mobile sensing applications that collect active, Ecological Momentary Assessment data, and passive, Global Positioning System data provide reliable, longitudinal assessments of community integration. Ensuring their acceptability by vulnerable populations is warranted. Acceptability-related perceptions of a mobile sensing application were gathered via focus groups with homeless-experienced Veterans with serious mental illness (n = 19) and individual interviews with providers (n = 5) to inform subsequent application tailoring and testing. Rapid assessment generated structured summaries and matrix analyses integrated participant data. Active data collection was deemed noninvasive, with more concerns of passive data "ending up in the wrong hands." Providers recommended clear descriptions and promotion of choice to navigate privacy concerns and guardedness. Participants felt the application possessed clinical value for enhancing patient-provider interactions and community integration efforts. Overall, participants found application features acceptable and expressed Veterans' willingness to engage in research using mobile sensing technology. Recommendations to enhance acceptability are discussed.