mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes.

BACKGROUND: Mobile- and Internet-delivered (collectively, digital) interventions are widely used by persons with diabetes (PWD) to assist with self-management and improve/maintain glycemic control (hemoglobin A1c [A1c]). However, evidence concerning the acceptance and benefits of such interventions among disadvantaged/vulnerable PWD is still quite limited. PURPOSE OF REVIEW: We reviewed studies published from 2011-April 2019 evaluating the impact of diabetes self-management interventions delivered via mobile device and/or Internet on glycemic control of disadvantaged/vulnerable adults with type 2 diabetes (T2D). Included studies reported ≥ 50% of the sample having a low socioeconomic status and/or being a racial/ethnic minority, or living in a rural setting or low-/middle-income country (LMIC). We identified 21 studies evaluating a digital intervention among disadvantaged/vulnerable PWD. RECENT FINDINGS: Although many digital interventions found within-group A1c improvements (16 of 21 studies), only seven of the seventeen studies with a control group found between-group differences in A1c. Three studies found reductions in emergency room (ER) visits and hospitalizations. We synthesize this information, and provide recommendations for increasing access, and improving the design and usability of such interventions. We also discuss the role of human support in digital delivery, issues related to study design, reporting, economic value, and available research in LMICs. There is evidence suggesting that digital interventions can improve diabetes control, healthcare utilization, and healthcare costs. More research is needed to substantiate these early findings, and many issues remain in order to optimize the impact of digital interventions on the health outcomes of disadvantaged/vulnerable persons with diabetes.

Seeing the Person, Not the Illness: Promoting Diabetes Medication Adherence Through Patient-Centered Collaboration.

IN BRIEF Nonadherence to diabetes medications is a primary contributor to health complications and avoidable hospitalizations. This article discusses the evidence for taking a person-centered (as opposed to illness-centered) approach to promoting medication adherence among diabetes patients, provides suggestions for ways in which diabetes clinicians can best promote medication adherence, and argues for needed changes in how health care systems support providers in their efforts at adherence promotion.

Psychological Distress Mediates the Association between Food Insecurity and Suboptimal Sleep Quality in Latinos with Type 2 Diabetes Mellitus.

BACKGROUND: Evidence increasingly indicates that poor sleep quality is a major public health concern. Household food insecurity (HFI) disproportionately affects Latinos and is a novel risk factor for poor sleep quality. Psychological distress may be a potential mechanism through which HFI affects sleep quality. Sleep, food insecurity, and distress are linked to type 2 diabetes mellitus. OBJECTIVES: We examined the relations between HFI, psychological distress, and sleep quality and tested whether psychological distress mediates the relation between HFI and sleep in people with diabetes mellitus. METHODS: Latinos with type 2 diabetes mellitus (n = 121) who completed baseline assessments for the CALMS-D (Community Health Workers Assisting Latinos Manage Stress and Diabetes) stress management intervention trial completed the US Household Food Security Survey, and measures of depressive symptoms [Personal Health Questionnaire Depression Scale (PHQ-8)], anxiety symptoms [Patient-Reported Outcomes Measurement Information System (PROMIS)-short], diabetes distress [Problem Areas in Diabetes Questionnaire (PAID-5)], and sleep quality [Pittsburgh Sleep Quality Index (PSQI)]. Psychological distress was operationalized with the PHQ-8, PROMIS-short, and PAID-5 scales. We used unadjusted and adjusted indirect effect tests with bias-corrected bootstrapped 95% CIs on 10,000 samples to test both relations between variables and potential mediation. RESULTS: Mean age was 61 y, 74% were women, and 67% were food insecure. Experiencing HFI was associated with both greater psychological distress and worse sleep quality (P < 0.05). Depressive symptoms (adjusted R2: 2.22, 95% CI: 1.27, 3.42), anxiety symptoms (adjusted R2: 1.70, 95% CI: 0.87, 2.85), and diabetes mellitus distress (adjusted R2: 0.60, 95% CI: 0.11, 1.32) each mediated the relation between HFI and worse sleep quality with and without adjustment for age, education, income, marital status, and employment status. CONCLUSIONS: Household food insecurity is a common and potent household stressor that is associated with suboptimal sleep quality through psychological distress. Efforts to improve food security and decrease psychological distress may yield improved sleep in this high-risk population. The CALMS-D stress management trial was registered at clinicaltrials.gov as NCT01578096.

Patterns of User Engagement with Mobile- and Web-Delivered Self-Care Interventions for Adults with T2DM: A Review of the Literature.

Technology-delivered interventions can improve the health behaviors and clinical outcomes of persons with diabetes, but only if end users engage with these interventions. To summarize the current knowledge on engagement with technology-based interventions, we conducted a review of recent mobile- and web-delivered intervention studies for adults with type 2 diabetes published from 2011 to 2015. Among 163 identified studies, 24 studies satisfied our inclusion criteria. There was substantial variation in how intervention engagement was reported across studies. Engagement rates were lower among interventions with a longer duration, and engagement decreased over time. In several studies, older age and lower health literacy were associated with less engagement, and more engagement was associated with intervention improvement in at least one outcome, including glycemic control. Future technology-based intervention studies should report on engagement, examine and report on associations between user characteristics and engagement, and aim to standardize how this is reported, particularly in longer trials.

Self-Care Disparities Among Adults with Type 2 Diabetes in the USA.

Suboptimal glycemic control is more common among non-Hispanic Blacks (NHBs) and Hispanics than non-Hispanic Whites (NHWs). Disparities in the performance of self-care behaviors may contribute to this. To synthesize knowledge on current self-care disparities, we reviewed studies from January 2011-March 2016 that included NHWs, NHBs, and Hispanics with type 2 diabetes in the USA. Self-care behaviors included diet, exercise, medications, self-monitoring of blood glucose (SMBG), self-foot exams, and not smoking. Of 1241 articles identified in PubMed, 25 met our inclusion criteria. These studies report consistent disparities in medication adherence. Surprisingly, we found consistent evidence of no disparities in exercise and some evidence of reverse disparities: compared to NHWs, Hispanics had healthier diets and NHBs had more regular SMBG. Consistent use of validated measures could further inform disparities in diet and exercise. Additional research is needed to test for disparities in self-foot exams, not smoking, and diabetes-specific problem solving and coping.

Measuring insulin adherence among adults with type 2 diabetes.

Non-adherence to insulin is common and associated with suboptimal health. We adapted the Morisky Medication Adherence Scale to specify insulin adherence (MIAS) and compared it to the Adherence to Refills and Medication Scale for Diabetes (ARMS-D) and the Summary of Diabetes Self-Care Activities medications subscale (SDSCA-MS) and an insulin-specific (SDSCA-IS) version. A sample of 144 insulin-treated adults (58 % African American/Black, 34 % Caucasian/White, 8 % Other/Mixed race; 6.9 % Hispanic) completed these measures along with a HbA1C test. The internal consistency and factor structure of the MIAS were adequate; 59 % of participants forgot to take insulin and 46 % reported non-adherence. The MIAS was associated with the ARMS-D, SDSCA-MS, and SDSCA-IS (p < 0.001), and higher MIAS scores were marginally associated with better self-rated health (p = 0.057), but significantly associated with fewer emergency room visits (p = 0.001), and better HbA1C (p = 0.001). The MIAS is a valid and reliable insulin adherence assessment tool for practice and research applications.

The MEssaging for Diabetes (MED) intervention improves short-term medication adherence among low-income adults with type 2 diabetes.

Adults with type 2 diabetes (T2DM) and low socioeconomic status (SES) have high rates of medication nonadherence, and, in turn, suboptimal glycemic control (hemoglobin A1c [HbA1c]). We tested the initial efficacy of a short message service (SMS) text messaging and interactive voice response (IVR) intervention to promote adherence among this high-risk group. Eighty low SES, diverse adults with T2DM used the MEssaging for Diabetes (MED) SMS/IVR intervention for 3 months. We used a pre-post single group design to explore adherence changes over 3 months, and a quasi-experimental design to test the impact of MED on HbA1c among the intervention group relative to a matched, archival control group. Compared to baseline, adherence improved at one (AOR 3.88, 95 % CI 1.79, 10.86) and at 2 months (AOR 3.76, 95 % CI 1.75, 17.44), but not at 3 months. HbA1c remained stable, with no differences at 3 months between the intervention group and the control group. MED had a positive, short-term impact on adherence, which did not translate to improvements in HbA1c. Future research should explore the longer-term impact of SMS/IVR interventions on the medication adherence of high risk adults with T2DM.

Predictors of antiretroviral therapy initiation: a cross-sectional study among Chinese HIV-infected men who have sex with men.

BACKGROUND: Early antiretroviral therapy (ART) initiation is crucial to achieve HIV viral suppression and reduce transmission. HIV-infected Chinese men who have sex with men (MSM) were less likely to initiate ART than other HIV-infected individuals. We assessed predictors of ART initiation among Chinese MSM. METHODS: In 2010-2011, a cross-sectional study was conducted among MSM in Beijing, China. We examined ART initiation within the subgroup who were diagnosed with HIV infection prior to participation in the survey. Logistic regression models were fitted to evaluate socio-demographic and behavioral factors associated with ART initiation. The eligibility criterion in the 2010/2011 national HIV treatment guidelines was CD4 cell count <350 cells/µL or World Health Organization (WHO) clinical stage III/IV. RESULTS: Of 238 eligible HIV-infected participants, the median duration of HIV infection was 15 months (range: 31 days-12 years); 62 (26.1 %) had initiated ART. Among 103 men with CD4 counts <350 cells/µL, 38 (36.9 %) initiated ART. Being married to a woman (adjusted odd ratios [aOR]: 2.50; 95 % confidence interval [CI]: 1.07-5.87), longer duration of HIV infection (aOR: 10.71; 95 % CI: 3.66-31.32), and syphilis co-infection (aOR: 2.58; 95 % CI: 1.04-6.37) were associated with a higher likelihood of ART initiation. Of 135 men with CD4 count ≥350 cells/µL, 24 (18 %) initiated ART. Being married to a woman (aOR: 4.21; 95 % CI: 1.60-11.06), longer duration of HIV infection (aOR: 22.4; 95 % CI: 2.79-180), older age (aOR: 1.26; 95 % CI: 1.1-1.44), Beijing Hukou (aOR: 4.93; 95 % CI: 1.25-19.33), presence of AIDS-like clinical symptoms (aOR: 3.97; 95 % CI: 1.32-14.0), and history of sexually transmitted infections (aOR: 4.93; 95 % CI: 1.25-19.43) were associated with ART initiation. Compared with men who did not initiated ART, those with ART were more likely to receive counseling on benefits of ART (96.8 % vs. 66.4 %, P = 0 < 0.01), HIV stigma coping strategy (75.8 % vs. 65.9 %, P = 0.04), mental health (66.1 % vs. 52.9 %, P = 0.02), and substance use (46.7 % vs. 36.6 %, P = 0.04). CONCLUSIONS: We documented low rates of ART initiation among Chinese MSM. Policy changes for expanding ART eligibility and interventions to improve the continuum of HIV care are in progress in China. Impact evaluations can help assess continuing barriers to ART initiation among MSM.

Stress, depression and medication nonadherence in diabetes: test of the exacerbating and buffering effects of family support.

Stressors and depressive symptoms have been associated with medication nonadherence among adults with type 2 diabetes (T2DM). We tested whether these associations were exacerbated by obstructive family behaviors or buffered by supportive family behaviors in a sample of 192 adults with T2DM and low socioeconomic status using unadjusted and adjusted regression models. We found support for the exacerbating hypothesis. Stressors and nonadherence were only associated at higher levels of obstructive family behaviors (interaction AOR = 1.12, p = .002). Similarly, depressive symptoms and nonadherence were only associated at higher levels of obstructive family behaviors (interaction AOR = 3.31, p = .002). When participants reported few obstructive family behaviors, neither stressors nor depressive symptoms were associated with nonadherence. We did not find support for the buffering hypothesis; stressors and depressive symptoms were associated with nonadherence regardless of supportive family behaviors. Nonadherent patients experiencing stressors and/or major depressive symptoms may benefit from interventions that reduce obstructive family behaviors.

Psychometric properties of the brief health literacy screen in clinical practice.

BACKGROUND: The three-item Brief Health Literacy Screen (BHLS) has been validated in research settings, but not in routine practice, administered by clinical personnel. OBJECTIVE: As part of the Health Literacy Screening (HEALS) study, we evaluated psychometric properties of the BHLS to validate its administration by clinical nurses in both clinic and hospital settings. PARTICIPANTS: Beginning in October 2010, nurses in clinics and the hospital at an academic medical center have administered the BHLS during patient intake and recorded responses in the electronic health record. MEASURES: Trained research assistants (RAs) administered the short Test of Functional Health Literacy in Adults (S-TOFHLA) and re-administered the BHLS to convenience samples of hospital and clinic patients. Analyses included tests of internal consistency reliability, inter-administrator reliability, and concurrent validity by comparing the nurse-administered versus RA-administered BHLS scores (BHLS-RN and BHLS-RA, respectively) to the S-TOFHLA. KEY RESULTS: Cronbach's alpha for the BHLS-RN was 0.80 among hospital patients (N = 498) and 0.76 among clinic patients (N = 295), indicating high internal consistency reliability. Intraclass correlation between the BHLS-RN and BHLS-RA among clinic patients was 0.77 (95 % CI 0.71-0.82) and 0.49 (95 % CI 0.40-0.58) among hospital patients. BHLS-RN scores correlated significantly with BHLS-RA scores (r = 0.33 among hospital patients; r = 0.62 among clinic patients), and with S-TOFHLA scores (r = 0.35 among both hospital and clinic patients), providing evidence of inter-administrator reliability and concurrent validity. In regression models, BHLS-RN scores were significant predictors of S-TOFHLA scores after adjustment for age, education, gender, and race. Area under the receiver operating characteristic curve for BHLS-RN to predict adequate health literacy on the S-TOFHLA was 0.71 in the hospital and 0.76 in the clinic. CONCLUSIONS: The BHLS, administered by nurses during routine clinical care, demonstrates adequate reliability and validity to be used as a health literacy measure.

Getting a technology-based diabetes intervention ready for prime time: a review of usability testing studies.

Consumer health technologies can educate patients about diabetes and support their self-management, yet usability evidence is rarely published even though it determines patient engagement, optimal benefit of any intervention, and an understanding of generalizability. Therefore, we conducted a narrative review of peer-reviewed articles published from 2009 to 2013 that tested the usability of a web- or mobile-delivered system/application designed to educate and support patients with diabetes. Overall, the 23 papers included in our review used mixed (n = 11), descriptive quantitative (n = 9), and qualitative methods (n = 3) to assess usability, such as documenting which features performed as intended and how patients rated their experiences. More sophisticated usability evaluations combined several complementary approaches to elucidate more aspects of functionality. Future work pertaining to the design and evaluation of technology-delivered diabetes education/support interventions should aim to standardize the usability testing processes and publish usability findings to inform interpretation of why an intervention succeeded or failed and for whom.

Determinants of health after hospital discharge: rationale and design of the Vanderbilt Inpatient Cohort Study (VICS).

BACKGROUND: The period following hospital discharge is a vulnerable time for patients when errors and poorly coordinated care are common. Suboptimal care transitions for patients admitted with cardiovascular conditions can contribute to readmission and other adverse health outcomes. Little research has examined the role of health literacy and other social determinants of health in predicting post-discharge outcomes. METHODS: The Vanderbilt Inpatient Cohort Study (VICS), funded by the National Institutes of Health, is a prospective longitudinal study of 3,000 patients hospitalized with acute coronary syndromes or acute decompensated heart failure. Enrollment began in October 2011 and is planned through October 2015. During hospitalization, a set of validated demographic, cognitive, psychological, social, behavioral, and functional measures are administered, and health status and comorbidities are assessed. Patients are interviewed by phone during the first week after discharge to assess the quality of hospital discharge, communication, and initial medication management. At approximately 30 and 90 days post-discharge, interviewers collect additional data on medication adherence, social support, functional status, quality of life, and health care utilization. Mortality will be determined with up to 3.5 years follow-up. Statistical models will examine hypothesized relationships of health literacy and other social determinants on medication management, functional status, quality of life, utilization, and mortality. In this paper, we describe recruitment, eligibility, follow-up, data collection, and analysis plans for VICS, as well as characteristics of the accruing patient cohort. DISCUSSION: This research will enhance understanding of how health literacy and other patient factors affect the quality of care transitions and outcomes after hospitalization. Findings will help inform the design of interventions to improve care transitions and post-discharge outcomes.

Family members' obstructive behaviors appear to be more harmful among adults with type 2 diabetes and limited health literacy.

Family members' diabetes-specific obstructive behaviors (e.g., nagging/arguing or getting in the way of patients' self-care) are associated with adults having worse glycemic control (HbA1C), with diabetes-specific supportive family behaviors protecting against this detrimental effect. Given the role of family members in helping patients with limited health literacy, patients' health literacy status may moderate these relations. The authors tested this hypothesis with 192 adults with type 2 diabetes. Twenty-six percent had limited health literacy, and limited health literacy was associated with more supportive family behaviors (p<.05), but not with obstructive family behaviors or with patients' HbA1C. Adjusted stratified analyses indicated obstructive family behaviors were more strongly associated with worse HbA1C among participants with limited health literacy and low supportive family behaviors than for participants with adequate health literacy and low supportive family behaviors (adjusted simple slopes ß=0.70, p=.05 vs. ß=0.36, p=.009). However, there was no association between obstructive family behaviors and HbA1C in the context of high supportive family behaviors, regardless of health literacy status. Involving family members in adults' self-care without teaching them to avoid obstructive behaviors may be particularly harmful for patients with limited health literacy. Future research should identify intervention content to reduce obstructive family behaviors and identify which supportive family behaviors may be protective.

Understanding patient portal use: implications for medication management.

BACKGROUND: The Internet can be leveraged to provide disease management support, including medication adherence promotion that, when tailored, can effectively improve adherence to medications. The growing adoption of patient portals represents an opportunity to support medication management and adherence more broadly, but virtually no data exist about the real and potential impact of existing portals on these outcomes. OBJECTIVE: We sought to (1) understand who uses an existing patient portal and reasons for use and nonuse, (2) understand how portal users are using a portal to manage their medications, and (3) explore participants' ideas for improving portal functionality for medication management and adherence support. METHODS: A total of 75 adults with type 2 diabetes participated in a mixed-methods study involving focus groups, a survey, and a medical chart review. We used quantitative data to identify differences between portal users and nonusers, and to test the relationship between the frequency of portal use and glycemic control among users. We used qualitative methods to understand how and why participants use a portal and their ideas for improving its medication management functionality. RESULTS: Of the enrolled participants, 81% (61/75) attended a focus group and/or completed a survey; portal users were more likely than nonusers to participate in that capacity (Fisher exact test; P=.01). Users were also more likely than nonusers to be Caucasian/white (Fisher exact test; P<.001), have higher incomes (Fisher exact test; P=.005), and be privately insured (Fisher exact test; P<.001). Users also tended to have more education than nonusers (Mann-Whitney U; P=.05), although this relationship was not significant at P<.05. Among users, more frequent use of a portal was associated with better A1C (Spearman rho =-0.30; P=.02). Reasons for nonuse included not knowing about the portal (n=3), not having access to a computer (n=3), or having a family member serve as an online delegate (n=1). Users reported using the portal to request prescription refills/reauthorizations and to view their medication list, and they were enthusiastic about the idea of added refill reminder functionality. They were also interested in added functionality that could streamline the refill/reauthorization process, alert providers to fill/refill nonadherence, and provide information about medication side effects and interactions. CONCLUSIONS: Although there are disparities in patient portal use, patients use portals to manage their medications, are enthusiastic about further leveraging portals to support medication management and adherence, and those who use a portal more frequently have better glycemic control. However, more features and functionality within a portal platform is needed to maximize medication management and adherence promotion.

Racial and ethnic disparities in diabetes complications in the northeastern United States: the role of socioeconomic status.

The role of socioeconomic status (SES) in explaining racial/ ethnic disparities in diabetes remains unclear. We investigated disparities in self-reported diabetes complications and the role of macro (eg, income, education) and micro (eg, owning a home or having a checking account) SES indicators in explaining these differences. The sample included individuals with a diagnosis of diabetes (N=795) who were aged, on average, 55 years, and 55.6% non-Hispanic white, 25.0% African American, and 19.4% Hispanic. Approximately 8% reported nephropathy, 35% reported retinopathy, and 16% reported cardiovascular disease. There were significant disparities in the rates of complications among non-Hispanic white, African American, and Hispanic participants, with Hispanic participants having the highest rates of nephropathy, retinopathy, and cardiovascular disease. Macro SES indicators (eg, income) mediated racial differences (ie, non-Hispanic whites vs African Americans) in self-reported retinopathy, a combination of macro and more micro SES indicators (eg, education, income, and ownirg a home or having a checking account) mediated racial/ethnic differences (ie, non-Hispanic white vs Hispanic participants) in self-reported cardiovascular disease, and only micro SES indicators (eg, owning a home or having a checking account) mediated differences between lower-income SES racial/ethnic minority groups (ie, African American vs Hispanic participants) in self-reported retinopathy and cardiovascular disease. Findings underscore that indicators of SES must be sensitive to the outcome of interest and the racial/ethnic groups being compared.

Effect of patient- and medication-related factors on inpatient medication reconciliation errors.

BACKGROUND: Little research has examined the incidence, clinical relevance, and predictors of medication reconciliation errors at hospital admission and discharge. OBJECTIVE: To identify patient- and medication-related factors that contribute to pre-admission medication list (PAML) errors and admission order errors, and to test whether such errors persist in the discharge medication list. DESIGN, PARTICIPANTS: We conducted a cross-sectional analysis of 423 adults with acute coronary syndromes or acute decompensated heart failure admitted to two academic hospitals who received pharmacist-assisted medication reconciliation during the Pharmacist Intervention for Low Literacy in Cardiovascular Disease (PILL-CVD) Study. MAIN MEASURES: Pharmacists assessed the number of total and clinically relevant errors in the PAML and admission and discharge medication orders. We used negative binomial regression and report incidence rate ratios (IRR) of predictors of reconciliation errors. KEY RESULTS: On admission, 174 of 413 patients (42%) had ≥1 PAML error, and 73 (18%) had ≥1 clinically relevant PAML error. At discharge, 158 of 405 patients (39%) had ≥1 discharge medication error, and 126 (31%) had ≥1 clinically relevant discharge medication error. Clinically relevant PAML errors were associated with older age (IRR = 1.46; 95% CI, 1.00- 2.12) and number of pre-admission medications (IRR = 1.17; 95% CI, 1.10-1.25), and were less likely when a recent medication list was present in the electronic medical record (EMR) (IRR = 0.54; 95% CI, 0.30-0.96). Clinically relevant admission order errors were also associated with older age and number of pre-admission medications. Clinically relevant discharge medication errors were more likely for every PAML error (IRR = 1.31; 95% CI, 1.19-1.45) and number of medications changed prior to discharge (IRR = 1.06; 95% CI, 1.01-1.11). CONCLUSIONS: Medication reconciliation errors are common at hospital admission and discharge. Errors in preadmission medication histories are associated with older age and number of medications and lead to more discharge reconciliation errors. A recent medication list in the EMR is protective against medication reconciliation errors.

Improving care transitions: the patient perspective.

After hospital discharge, patients commonly suffer potentially avoidable adverse events and hospital readmissions. As hospitals implement interventions to improve discharge transitions, it is important to understand patients' perspectives on which intervention components are most beneficial. This study examined a sample of 125 patients randomized to the intervention arm of the Pharmacist Intervention for Low Literacy in Cardiovascular Disease study who completed a telephone survey about the helpfulness of different components of the intervention, which included medication reconciliation, inpatient counseling, simple adherence aids, and telephone follow-up. The majority of patients indicated that it was "very helpful" to speak with a pharmacist about their medications before discharge (72.8%), particularly about how to take the medications and how to prevent and manage side effects. Receiving an illustrated medication list (69.6%) and a follow-up phone call after discharge (68.0%) were also considered very helpful. Patients with limited health literacy indicated the greatest benefit. Patients also reported feeling more comfortable speaking with their outpatient providers about their medications after receiving the intervention. In conclusion, patients--particularly those with limited health literacy--found a hospital pharmacist-based intervention to be very helpful and empowering.

Personalized Digital Health Communications to Increase COVID-19 Vaccination in Underserved Populations: A Double Diamond Approach to Behavioral Design.

The COVID-19 pandemic exacerbated pre-existing health disparities. People of historically underserved communities, including racial and ethnic minority groups and people with lower incomes and educational attainments, experienced disproportionate premature mortality, access to healthcare, and vaccination acceptance and adoption. At the same time, the pandemic increased reliance on digital devices, offering a unique opportunity to leverage digital communication channels to address health inequities, particularly related to COVID-19 vaccination. We offer a real-world, systematic approach to designing personalized behavior change email and text messaging interventions that address individual barriers with evidence-based behavioral science inclusive of underserved populations. Integrating design processes such as the Double Diamond model with evidence-based behavioral science intervention development offers a unique opportunity to create equitable interventions. Further, leveraging behavior change artificial intelligence (AI) capabilities allows for both personalizing and automating that personalization to address barriers to COVID-19 vaccination at scale. The result is an intervention whose broad component library meets the needs of a diverse population and whose technology can deliver the right components for each individual.

One Drop Improves Productivity for Workers With Type 2 Diabetes: One Drop for Workers With Type 2 Diabetes.

OBJECTIVE: Diabetes research on work productivity has been largely cross-sectional and retrospective, with only one known randomized controlled trial (RCT) published, to our knowledge. Secondary analysis of the Fit-One RCT tested the effect of One Drop's digital health program on workplace productivity outcomes, absenteeism, and presenteeism, for employees and specifically for older workers with type 2 diabetes. METHODS: Analysis of the 3-month Fit-One trial data from employees who have type 2 diabetes explored productivity using logistic analyses and generalized estimating equations. RESULTS: Treatment and control group comparisons showed that workers ( N = 125) using One Drop see direct benefits to workplace productivity, which leads to productivity savings for employers. CONCLUSION: This was the first RCT to demonstrate that a mobile health application for managing type 2 diabetes can positively affect productivity at work.

Diabetes and co-morbid depression among racially diverse, low-income adults.

BACKGROUND: Research suggests individuals with diabetes are twice as likely as those without diabetes to be clinically depressed. Still unknown is the relationship between diabetes and depression in socioeconomically disadvantaged populations. PURPOSE: We examined the relationship between diabetes and depressive symptoms in a large, racially diverse, low-income cohort in the southeastern USA. METHODS: A total of 69,068 adults were recruited from community health centers in 12 southeastern states. A fully adjusted polytomous logistic regression model tested the relationship between demographics, lifestyle behaviors, antidepressant use, body mass index, diabetes diagnosis, diabetes duration, diabetes medication compliance, and depressive symptoms using the Centers for Epidemiological Studies Depression scale. RESULTS: Diabetes was present in 21.7% of sample. While a diabetes diagnosis was associated with having severe depressive symptoms (AOR, 1.24; 95% CI, 1.14-1.34), demographics, lifestyle behaviors, body mass index and antidepressant use were more strongly associated with severe depressive symptoms than a diabetes diagnosis. CONCLUSIONS: Having diabetes was associated with the presence and severity of depressive symptoms in a large, low-income sample of racially diverse adults. However, the relationship between diabetes and depressive symptoms was weaker than in other studies with higher socioeconomic groups.