Pilot trial results of D-HOMES: a behavioral-activation based intervention for diabetes medication adherence and psychological wellness among people who have been homeless.

Introduction: People living with type 2 diabetes who experience homelessness face a myriad of barriers to engaging in diabetes self-care behaviors that lead to premature complications and death. This is exacerbated by high rates of comorbid mental illness, substance use disorder, and other physical health problems. Despite strong evidence to support lay health coach and behavioral activation, little research has effectively engaged people living with type 2 diabetes who had experienced homelessness (DH). Methods: We used community engaged research and incremental behavioral treatment development to design the Diabetes HOmeless MEdication Support (D-HOMES) program, a one-on-one, 3 month, coaching intervention to improve medication adherence and psychological wellness for DH. We present results of our pilot randomized trial (with baseline, 3 mo., 6 mo. assessments) comparing D-HOMES to enhanced usual care (EUC; brief diabetes education session and routine care; NCT05258630). Participants were English-speaking adults with type 2 diabetes, current/recent (<24 mo.) homelessness, and an HbA1c_7.5%. We focused on feasibility (recruitment, retention, engagement) and acceptability (Client Satisfaction Questionnaire, CSQ-8). Our primary clinical outcome was glycemic control (HbA1c) and primary behavioral outcome was medication adherence. Secondary outcomes included psychological wellness and diabetes self-care. Results: Thirty-six eligible participants enrolled, 18 in each arm. Most participants identified as Black males, had high rates of co-morbidities, and lived in subsidized housing. We retained 100% of participants at 3-months, and 94% at 6-months. Participants reported high satisfaction (mean CSQ-8 scores=28.64 [SD 3.94] of 32). HbA1c reduced to clinically significant levels in both groups, but we found no between group differences. Mean blood pressure improved more in D-HOMES than EUC between baseline and 6 mo. with between group mean differences of systolic -19.5 mmHg (p=0.030) and diastolic blood pressure -11.1 mmHg (p=0.049). We found no significant between group differences in other secondary outcomes. Conclusion: We effectively recruited and retained DH over 6 months. Data support that the D-HOMES intervention was acceptable and feasible. We observe preliminary blood pressure improvement favoring D-HOMES that were statistically and clinically significant. D-HOMES warrants testing in a fully powered trial which could inform future high quality behavioral trials to promote health equity. Clinical trial registration: https://clinicaltrials.gov/study/NCT05258630?term=D-HOMES&rank=1, identifier NCT05258630.

Using Machine Learning to Predict Young People's Internet Health and Social Service Information Seeking.

Machine learning creates new opportunities to design digital health interventions for youth at risk for acquiring HIV (YARH), capitalizing on YARH's health information seeking on the internet. To date, researchers have focused on descriptive analyses that associate individual factors with health-seeking behaviors, without estimating of the strength of these predictive models. We developed predictive models by applying machine learning methods (i.e., elastic net and lasso regression models) to YARH's self-reports of internet use. The YARH were aged 14-24 years old (N = 1287) from Los Angeles and New Orleans. Models were fit to three binary indicators of YARH's lifetime internet searches for general health, sexual and reproductive health (SRH), and social service information. YARH responses regarding internet health information seeking were fed into machine learning models with potential predictor variables based on findings from previous research, including sociodemographic characteristics, sexual and gender minority identity, healthcare access and engagement, sexual behavior, substance use, and mental health. About half of the YARH reported seeking general health and SRH information and 26% sought social service information. Areas under the ROC curve (≥ .75) indicated strong predictive models and results were consistent with the existing literature. For example, higher education and sexual minority identification was associated with seeking general health, SRH, and social service information. New findings also emerged. Cisgender identity versus transgender and non-binary identities was associated with lower odds of general health, SRH, and social service information seeking. Experiencing intimate partner violence was associated with higher odds of seeking general health, SRH, and social service information. Findings demonstrate the ability to develop predictive models to inform targeted health information dissemination strategies but underscore the need to better understand health disparities that can be operationalized as predictors in machine learning algorithms.

Association between Federally Qualified Health Center usage and emergency department utilization among California's HIV-infected Medicaid beneficiaries, 2009.

Federally Qualified Health Centers (FQHCs) have long been important sources of care for publicly insured people living with HIV. FQHC users have historically used emergency departments (EDs) at a higher-than-average rate. This paper examines whether this greater use relates to access difficulties in FQHCs or to characteristics of FQHC users. Zero-inflated Poisson models were used to estimate how FQHC use related to the odds of being an ED user and annual number of ED visits, using claims data on 6,284 HIV-infected California Medicaid beneficiaries in 2008-2009. FQHC users averaged significantly greater numbers of annual ED visits than non-FQHC users and those with no outpatient usage (1.89, 1.59, and 1.70, respectively; P = 0.043). FQHC users had higher odds of being ED users (OR = 1.14; 95%CI 1.02-1.27). In multivariable analyses, FQHC clients had higher odds of ED usage controlling for demographic and service characteristics (OR = 1.15; 95%CI 1.02-1.30) but not when medical characteristics were included (OR = 1.08; 95%CI 0.95-1.24). Among ED users, FQHC use was not significantly associated with the number of ED visits in our models (rate ratio (RR) = 1.00; 95%CI 0.87-1.15). The overall difference in mean annual ED visits observed between FQHC and non-FQHC groups was reduced to insignificance (1.75; 95% CI 1.59-1.92 vs 1.70; 95%CI 1.54-1.85) after adjusting for demographic, service, and medical characteristics. Overall, FQHC users had higher ED utilization than non-FQHC users, but the disparity was largely driven by differences in underlying medical characteristics.

Lack of insurance as a barrier to care in sepsis: A retrospective cohort study.

Nationally-representative data suggest an association between lack of insurance and in-hospital death from sepsis (Kumar et al., 2014). It remains to be determined whether this association is attributable to differences in baseline health, care-seeking behaviors, hospital care, or other factors. PURPOSE: To determine whether organ dysfunction present on admission for community-onset sepsis mediates the association between lack of insurance and mortality in sepsis. MATERIALS AND METHODS: Retrospective cohort study using public discharge data from the California Office of Statewide Health Planning and Development. Inpatients age 18-64 with community-onset sepsis at California hospitals in 2010 were identified by diagnosis codes. RESULTS: Controlling for demographics, comorbidities, infection source, and hospital characteristics, lack of insurance was associated with an adjusted odds ratio (OR) of 1.26 (absolute risk difference 4.75%, p<0.001) for organ dysfunction present on admission for community-onset sepsis. Lack of insurance predicted in-hospital mortality (adjusted OR 1.15, p<0.001). Organ dysfunction present on admission was the only significant mediator, explaining 22.3% (p<0.001) of the effect of lack of insurance. CONCLUSIONS: The association between lack of insurance and organ dysfunction on admission in community-onset sepsis suggests that lack of insurance may impede timely care for patients with community-onset infections.

Mobile Phone Ecological Momentary Assessment of Daily Stressors Among People Living With HIV: Elucidating Factors Underlying Health-Related Challenges in Daily Routines.

Stressful life events and daily hassles affect people living with HIV (PLWH). However, capturing stress-related events and cognitive impairment is often plagued with recall biases. Incorporating reliable information technology, such as mobile phones, can be a resourceful method for measuring health behaviors (MHB). We report findings from an MHB pilot study with 32 African American, Latino/Hispanic, and White PLWH from Los Angeles. Participants reported perceived stressors in their daily routines using a smartphone Ecological Momentary Assessment (EMA) application. Participants self-initiated in-the-moment stressful events reports for up to 6 weeks. Stressful event EMAs queried perceived stress levels (1-10 scale) and open-ended text descriptions. Qualitative analysis of participant text responses was completed using grounded thematic coding. Participants reported multiple stressors in their daily routines, impacting activities of daily living or daily functioning. Eliciting input from PLWH via EMA in real time is a novel approach for assessing and identifying sources of stress.

Cell phone-based ecological momentary assessment of substance use context for Latino youth in outpatient treatment: Who, what, when and where.

BACKGROUND: Relationships between alcohol, marijuana and other drug (AOD) use and contextual factors have mostly been established through retrospective self-report. Given the embeddedness of cell phones in adolescents' daily activities, cell phone-based ecological momentary assessment (CEMA) provides an opportunity to better understand AOD use in youth and how cell phones can be used to self-monitor and deliver interventions. We use CEMA to examine AOD use in Latino youth who have been especially understudied. METHODS: Twenty-eight mostly Latino youth (ages 13-18) in outpatient substance abuse treatment recorded AOD use, contextual factors, cravings, and affect through once-daily CEMA over one month periods. Random-effects logistic regression was used to compare contextual factors between periods of AOD use and non-use. RESULTS: The most frequent contextual factors reported during AOD use were being with close friends and "hanging out" as the primary activity. During AOD use compared to non-use, youth were more likely to be with close friends (OR=4.76; p<0.01), around users (OR=17.69; p<0.01), and at a friend's house (OR=5.97; p<0.01). Alcohol use was more frequently reported at night (63% vs 34%) and on weekends relative to other substances (64% vs 49%). Strong cravings were more frequently reported on AOD-use days (OR=7.34; p<0.01). Types of positive and negative affect were reported with similar frequencies, regardless of AOD use. CONCLUSIONS: Reporting on social context, location, day and time of day, and cravings all show promise in developing cell phone-based interventions triggered by contextual data.

Food insufficiency, depression, and the modifying role of social support: Evidence from a population-based, prospective cohort of pregnant women in peri-urban South Africa.

RATIONALE: Food insecurity has emerged as an important, and potentially modifiable, risk factor for depression. Few studies have brought longitudinal data to bear on investigating this association in sub-Saharan Africa. OBJECTIVE: To estimate the association between food insufficiency and depression symptom severity, and to determine the extent to which any observed associations were modified by social support. METHODS AND RESULTS: We conducted a secondary analysis of population-based, longitudinal data collected from 1238 pregnant women during a three-year cluster-randomized trial of a home visiting intervention in Cape Town, South Africa. Surveys were conducted at baseline, 6 months, 18 months, and 36 months (85% retention). A validated, single-item food insufficiency measure inquired about the number of days of hunger in the past week. Depression symptom severity was measured using the Xhosa version of the 10-item Edinburgh Postnatal Depression Scale. In multivariable regression models with cluster-correlated robust estimates of variance, lagged food insufficiency had a strong and statistically significant association with depression symptom severity (ß = 0.70; 95% CI, 0.46-0.94), suggesting a 6.5% relative difference in depression symptom severity per day of hunger. In stratified analyses, food insufficiency had a statistically significant association with depression only among women with low levels of instrumental support. Using quantile regression, we found that the adverse impacts of food insufficiency were experienced to a greater degree by women in the upper end of the conditional distribution of depression symptom severity. Estimates from fixed-effects regression models and fixed-effects quantile regression models, accounting for unobserved confounding by time-invariant characteristics, were similar. CONCLUSIONS: Food insufficiency was associated with depression symptom severity, particularly for women in the upper end of the conditional depression distribution. Instrumental social support buffered women against the adverse impacts of food insufficiency.

Reliability and validity of daily self-monitoring by smartphone application for health-related quality-of-life, antiretroviral adherence, substance use, and sexual behaviors among people living with HIV.

This paper examines inter-method reliability and validity of daily self-reports by smartphone application compared to 14-day recall web-surveys repeated over 6 weeks with people living with HIV (PLH). A participatory sensing framework guided participant-centered design prioritizing external validity of methods for potential applications in both research and self-management interventions. Inter-method reliability correlations were consistent with prior research for physical and mental health quality-of-life (r = 0.26-0.61), antiretroviral adherence (r = 0.70-0.73), and substance use (r = 0.65-0.92) but not for detailed sexual encounter surveys (r = 0.15-0.61). Concordant and discordant pairwise comparisons show potential trends in reporting biases, for example, lower recall reports of unprotected sex or alcohol use, and rounding up errors for frequent events. Event-based reporting likely compensated for modest response rates to daily time-based prompts, particularly for sexual and drug use behaviors that may not occur daily. Recommendations are discussed for future continuous assessment designs and analyses.

Mobile Phone Assessment in Egocentric Networks: A Pilot Study on Gay Men and Their Peers.

Mobile phone-based data collection encompasses the richness of social network research. Both individual-level and network-level measures can be recorded. For example, health-related behaviors can be reported via mobile assessment. Social interactions can be assessed by phone-log data. Yet the potential of mobile phone data collection has largely been untapped. This is especially true of egocentric studies in public health settings where mobile phones can enhance both data collection and intervention delivery, e.g. mobile users can video chat with counselors. This is due in part to privacy issues and other barriers that are more difficult to address outside of academic settings where most mobile research to date has taken place. In this article, we aim to inform a broader discussion on mobile research. In particular, benefits and challenges to mobile phone-based data collection are highlighted through our mobile phone-based pilot study that was conducted on egocentric networks of 12 gay men (n = 44 total participants). HIV-transmission and general health behaviors were reported through a mobile phone-based daily assessment that was administered through study participants' own mobile phones. Phone log information was collected from gay men with Android phones. Benefits and challenges to mobile implementation are discussed, along with the application of multi-level models to the type of longitudinal egocentric data that we collected.

Identifying preferences for mobile health applications for self-monitoring and self-management: focus group findings from HIV-positive persons and young mothers.

OBJECTIVE: Self-management of risk behaviors is a cornerstone of future population health interventions. Using mobile phones for routine self-monitoring and feedback is a cost-efficient strategy for self-management and ecological momentary interventions (EMI). However, mobile health applications need to be designed to be highly attractive and acceptable to a broad range of user groups. To inform the design of an adaptable mobile health application we aimed to identify the dimensions and range of user preferences for application features by different user groups. METHODS: Five focus group interviews were conducted: two (n=9; n=20) with people living with HIV (PLH) and three with young mothers (n=6; n=8; n=10). Thematic analyses were conducted on the focus group sessions' notes and transcripts. RESULTS: Both groups considered customization of reminders and prompts as necessary, and goal setting, motivational messaging, problem solving, and feedback as attractive. For PLH, automated and location-based reminders for medication adherence and sharing data with healthcare providers were both acceptable and attractive features. Privacy protection and invasiveness were the primary concerns, particularly around location tracking, illegal drug use, and sexual partner information. Concerns were ameliorated by use scenario or purpose, monetary incentives, and password protection. Privacy was not a major concern to mothers who considered passwords burdensome. Mothers' preferences focused on customization that supports mood, exercise and eating patterns, and especially using the mobile phone camera to photograph food to increase self-accountability. CONCLUSIONS: Individualization emerged as the key feature and design principle to reduce user burden and increase attractiveness and acceptability. Mobile phone EMI uniquely enables individualization, context-aware and real-time feedback, and tailored intervention delivery.

Helping people with HIV/AIDS return to work: a randomized clinical trial.

OBJECTIVE: New treatments introduced in the mid-1990s led many people with HIV/AIDS who previously had been disabled by their disease to contemplate workforce reentry; many remain unemployed, and little is known concerning interventions that might help them return to work. We report the results of a randomized clinical trial of an intervention designed to help people with HIV/AIDS reenter the workforce. DESIGN: We tested a mixed (group-individual) modality intervention that incorporated elements of Motivational Interviewing (Miller & Rollnick, 2002), skills building from Dialectical Behavior Therapy (Linehan, 1993), and job-related skills (Price & Vinokur, 1995). A total of 174 individuals participated in either the intervention or in standard of care and were followed for 24 months. RESULTS: Compared with individuals referred for standard of care, participants in the intervention engaged in more workforce-reentry activities over time and, once employed, were more likely to remain employed. Dose-response analyses revealed that among intervention participants, participants who attended more than 1 individual session engaged in more workforce-reentry activities than individuals who attended 1 or fewer individual sessions, whereas frequency of group session participation did not effect a difference between participants who attended more than 6 group sessions and participants who attended 6 or fewer group sessions. CONCLUSION: Theoretically based workforce-reentry assistance programs can assist disabled people with HIV/AIDS in their return-to-work efforts.

Diabetes buddies: peer support through a mobile phone buddy system.

PURPOSE: The purpose of this study is to test the feasibility and acceptability of a mobile phone-based peer support intervention among women in resource-poor settings to self-manage their diabetes. Secondary goals were to evaluate the intervention's effectiveness to motivate diabetes-related health choices. METHODS: Women with diabetes (n = 22) in Cape Town, South Africa, participated in a 12-week program focused on providing and applying knowledge of health routines to manage diabetes. Women were linked with a buddy via a mobile phone for support and were questioned daily about a health behavior via text message. Women were assessed at recruitment and then 3 and 6 months later by a trained interviewer using a mobile phone for data collection. The women were evaluated on technology uptake, reduction of body mass index, blood glucose levels, and increases in positive coping and general health-seeking behaviors. RESULTS: Women exchanged 16 739 text messages to buddies and received 3144 texts from the project. Women responded to 29% of texted questions (n = 1321/14 582). Women attended at least 9 of 12 possible intervention sessions; a third attended all 12 sessions (n = 8/22). Between baseline and 3 months, women increased their sleep and reported a higher level of positive action and social support coping, yet blood glucose increased by 3.3 points. From 3 to 6 months, spiritual hope decreased and diastolic blood pressure increased. One year later, the 22 women continue to attend meetings. CONCLUSIONS: Mobile phones are an easy and reliable way to provide peer support and disseminate health messages. Both positive and negative changes were observed in this pilot study.

Finding shelter: two-year housing trajectories among homeless youth.

PURPOSE: The aim of this study was to (1) identify trajectories of homeless youth remaining sheltered or returning to shelter over a period of 2 years, and (2) to identify predictors of these trajectories. METHOD: A sample of 426 individuals aged 14-24 years receiving services at homeless youth serving agencies completed six assessments over 2 years. Latent class growth analysis was applied to the reports of whether youth had been inconsistently sheltered (i.e., living on the street or in a squat, abandoned building, or automobile) or consistently sheltered (i.e., not living in any of those settings) during the past 3 months. RESULTS: Three trajectories of homeless youth remaining sheltered or returning to shelter were identified: consistently sheltered (approximately 41% of the sample); inconsistently sheltered, short-term (approximately 20%); and inconsistently sheltered, long-term (approximately 39%). Being able to go home and having not left of one's own accord predicted greater likelihood of membership in the short-term versus the long-term inconsistently sheltered trajectory. Younger age, not using drugs other than alcohol or marijuana, less involvement in informal sector activities, being able to go home, and having been homeless for <1 year predicted membership in the consistently sheltered groups versus the long-term inconsistently sheltered groups in the multivariate analyses. CONCLUSIONS: Findings suggest that being able to return home is more important than the degree of individual impairment (e.g., substance use or mental health problems) when determining the likelihood that a homeless youth follows a more or a less chronically homeless pathway.