Development of a New Measure of Housing Security: The REDD-CAT Housing Security Measure.

BACKGROUND: Housing security is a key social determinant of behavior related to health outcomes. OBJECTIVE: The purpose of this study was to develop a new patient-reported outcome measure that evaluates aspects of housing security for use in the Re-Engineered Discharge for Diabetes-Computer Adaptive Test (REDD-CAT) measurement system. DESIGN: Qualitative data, literature reviews, and cross-sectional survey study. PARTICIPANTS: A total of 225 people with T2DM provided responses to the items in this item pool. MAIN MEASURES: A new item pool that evaluates important aspects of housing security was developed using stakeholder data from focus groups of persons with T2DM. KEY RESULTS: For the Housing Affordability scale, factor analysis (both exploratory and confirmatory) supported the retention of six items. Of these items, none exhibited sparse cells or problems with monotonicity; no items were deleted due to low item-adjusted total score correlations. For the six affordability items, a constrained graded response model indicated no items exhibited misfit; thus, all were retained. No items indicated differential item functioning (examined for age, sex, education, race, and socioeconomic status). Thus, the final Affordability item bank comprised six items. A Housing Safety index (three items) and a Home Features index (eight items) were also developed. Reliability (i.e., internal consistency and test-retest reliability) and validity (i.e., convergent, discriminant, and known-groups) of the new measures were also supported. CONCLUSIONS: The REDD-CAT Housing Security Measure provides a reliable and valid assessment of housing affordability, safety, and home features in people with type 2 diabetes mellitus. Future work is needed to establish the clinical utility of this measure in other clinical populations.

Development and calibration data for the Medication Adherence Item Bank: a new computer adaptive test for persons with type 2 diabetes mellitus.

PURPOSE: To develop a new computer adaptive test that evaluates important aspects of medication adherence for persons with type 2 diabetes mellitus. METHODS: Two hundred and twenty-five people with type 2 diabetes mellitus completed 41 items related to medication adherence. RESULTS: Exploratory analysis supported the essential unidimensionality of the initial item pool. Five items were deleted due to low item-adjusted total score correlations (resulting in 36 items). Confirmatory factor analysis supported the retention of 27 items. A graded response model identified no items for exclusion, based on misfit. No items were flagged for meaningful differential item functioning (DIF). The final item bank is comprised of 27 items; an associated 6-item short form was constructed that balanced both psychometric factors (e.g., item information values) and clinical input. Initial analysis of the simulated CAT and static short form supported both the reliability (i.e., internal consistency and test-retest reliability) and validity (i.e., convergent, discriminant, and known groups) of both administration formats. CONCLUSIONS: The new medication adherence item bank provides a reliable and valid assessment of the ability to take medications accurately among people with T2DM; it will be available in early 2023 through healthmeasures.net.

Development and calibration data for the Illness Burden item bank: a new computer adaptive test for persons with type 2 diabetes mellitus.

PURPOSE: The purpose of this study was to develop a new measure, the Re-Engineered Discharge for Diabetes Computer Adaptive Test (REDD-CAT) Illness Burden item bank, to evaluate the impact that a chronic condition has on independent living, the ability to work (including working at home), social activities, and relationships. METHODS: Semi-structured interviews were used to inform the development of an item pool (47 items) that captured patients' beliefs about how a diagnosis of type 2 diabetes interferes with different aspects of their lives. The Illness Burden item bank was developed and tested in 225 people with type 2 diabetes mellitus. RESULTS: No items had sparse response option cells or problems with monotonicity; two items were deleted due to low item-rest correlations. Factor analyses supported the retention of 29 items. With those 29 remaining items, a constrained (common slope) graded response model fit assessment indicated that two items had misfit; they were excluded. No items displayed differential item functioning by age, sex, education, or socio-economic status. The final item bank is comprised of 27 items. Preliminary data supported the reliability (internal consistency and test-retest reliability) and validity (convergent, discriminant, and known-groups) of the new bank. CONCLUSION: The Illness Burden item bank can be administered as a computer adaptive test or a 6-item short form. This new measure captures patients' perceptions of the impact that having type 2 diabetes has on their daily lives; it can be used in conjunction with the REDD-CAT measurement system to evaluate important social determinants of health in persons with type 2 diabetes mellitus.

Development and calibration data for the Healthcare Access Item Bank: a new computer adaptive test for persons with type 2 diabetes mellitus.

PURPOSE: The purpose of this study was to develop a new measure to evaluate the ability to receive medical services when needed among persons with type 2 diabetes mellitus. METHODS: The Healthcare Access measure was developed using data from 225 persons with type 2 diabetes mellitus who completed an item pool comprised of 54 questions pertaining to their experience accessing healthcare services. RESULTS: Exploratory and confirmatory factor analyses supported the retention of 45 items. In addition, a constrained graded response model (GRM), as well as analyses that examined item misfit and differential item functioning (investigated for age, sex, education, race, and socioeconomic status), supported the retention of 44 items in the final item bank. Expert review and GRM item calibration products were used to inform the selection of a 6-item static short form and to program the Healthcare Access computer adaptive test (CAT). Preliminary data supported the reliability (i.e., internal consistency and test-retest reliability) and validity (i.e., convergent, discriminant, and known-groups) of the new measure. CONCLUSIONS: The new Healthcare Access item bank can be used to examine the experiences that persons with type 2 diabetes mellitus have with healthcare access, to better target treatment improvements and mitigate disparities; it will be available as a part of the Neuro-Qol measurement system through healthmeasures.net and the PROMIS Application Programmable Interface (API) in early 2023.

Effectiveness of an Immersive Telemedicine Platform for Delivering Diabetes Medical Group Visits for African American, Black and Hispanic, or Latina Women With Uncontrolled Diabetes: The Women in Control 2.0 Noninferiority Randomized Clinical Trial.

BACKGROUND: Medically underserved people with type 2 diabetes mellitus face limited access to group-based diabetes care, placing them at risk for poor disease control and complications. Immersive technology and telemedicine solutions could bridge this gap. OBJECTIVE: The purpose of this study was to compare the effectiveness of diabetes medical group visits (DMGVs) delivered in an immersive telemedicine platform versus an in-person (IP) setting and establish the noninferiority of the technology-enabled approach for changes in hemoglobin A1c (HbA1c) and physical activity (measured in metabolic equivalent of task [MET]) at 6 months. METHODS: This study is a noninferiority randomized controlled trial conducted from February 2017 to December 2019 at an urban safety net health system and community health center. We enrolled adult women (aged ≥18 years) who self-reported African American or Black race or Hispanic or Latina ethnicity and had type 2 diabetes mellitus and HbA1c ≥8%. Participants attended 8 weekly DMGVs, which included diabetes self-management education, peer support, and clinician counseling using a culturally adapted curriculum in English or Spanish. In-person participants convened in clinical settings, while virtual world (VW) participants met remotely via an avatar-driven, 3D VW linked to video teleconferencing. Follow-up occurred 6 months post enrollment. Primary outcomes were mean changes in HbA1c and physical activity at 6 months, with noninferiority margins of 0.7% and 12 MET-hours, respectively. Secondary outcomes included changes in diabetes distress and depressive symptoms. RESULTS: Of 309 female participants (mean age 55, SD 10.6 years; n=195, 63% African American or Black; n=105, 34% Hispanic or Latina; n=151 IP; and n=158 in VW), 207 (67%) met per-protocol criteria. In the intention-to-treat analysis, we confirmed noninferiority for primary outcomes. We found similar improvements in mean HbA1c by group at 6 months (IP: -0.8%, SD 1.9%; VW: -0.5%, SD 1.8%; mean difference 0.3, 97.5% CI -∞ to 0.3; P<.001). However, there were no detectable improvements in physical activity (IP: -6.5, SD 43.6; VW: -9.6, SD 44.8 MET-hours; mean difference -3.1, 97.5% CI -6.9 to ∞; P=.02). The proportion of participants with significant diabetes distress and depressive symptoms at 6 months decreased in both groups. CONCLUSIONS: In this noninferiority randomized controlled trial, immersive telemedicine was a noninferior platform for delivering diabetes care, eliciting comparable glycemic control improvement, and enhancing patient engagement, compared to IP DMGVs. TRIAL REGISTRATION: ClinicalTrials.gov NCT02726425; https://clinicaltrials.gov/ct2/show/NCT02726425.

Stigma as a Barrier to Participant Recruitment of Minority Populations in Diabetes Research: Development of a Community-Centered Recruitment Approach.

BACKGROUND: The development of evidence-based care geared towards Black and Latina women living with uncontrolled type 2 diabetes is contingent upon their active recruitment into clinical interventions. Well-documented impediments to recruitment include a historical mistrust of the research community and socioeconomic factors that limit awareness and access to research studies. Although sociocultural and socioeconomic factors deter minorities from participating in clinical research, it is equally important to consider the role of stigma in chronic disease intervention studies. OBJECTIVE: We aim to share our discovery of diabetes-related stigma as an underrecognized impediment to recruitment for the Women in Control 2.0 virtual diabetes self-management education study. METHODS: Our initial recruitment plan used traditional strategies to recruit minority women with uncontrolled type 2 diabetes, which included letters and phone calls to targeted patients, referrals from clinicians, and posted flyers. After engaging a patient advisory group and consulting with experts in community advocacy, diabetes-related stigma emerged as a prominent barrier to recruitment. The study team reviewed and revised recruitment scripts and outreach material in order to better align with the lived experience and needs of potential enrollees. RESULTS: Using a more nuanced, community-centered recruitment approach, we achieved our target recruitment goal, enrolling 309 participants into the study, exceeding our target of 212. CONCLUSIONS: There is a need for updated recruitment methods that can increase research participation of patients who experience internalized diabetes stigma. To address disparities in minority health, further research is needed to better understand diabetes-related stigma and devise strategies to avert or address it.

Using Health Information Technology to Engage African American Women on Nutrition and Supplement Use During the Preconception Period.

Importance: Healthy nutrition and appropriate supplementation during preconception have important implications for the health of the mother and newborn. The best way to deliver preconception care to address health risks related to nutrition is unknown. Methods: We conducted a secondary analysis of data from a randomized controlled trial designed to study the impact of conversational agent technology in 13 domains of preconception care among 528 non-pregnant African American and Black women. This analysis is restricted to those 480 women who reported at least one of the ten risks related to nutrition and dietary supplement use. Interventions: An online conversational agent, called "Gabby", assesses health risks and delivers 12 months of tailored dialogue for over 100 preconception health risks, including ten nutrition and supplement risks, using behavioral change techniques like shared decision making and motivational interviewing. The control group received a letter listing their preconception risks and encouraging them to talk to a health care provider. Results: After 6 months, women using Gabby (a) reported progressing forward on the stage of change scale for, on average, 52.9% (SD, 35.1%) of nutrition and supplement risks compared to 42.9% (SD, 35.4) in the control group (IRR 1.22, 95% CI 1.03-1.45, P = 0.019); and (b) reported achieving the action and maintenance stage of change for, on average, 52.8% (SD 37.1) of the nutrition and supplement risks compared to 42.8% (SD, 37.9) in the control group (IRR 1.26, 96% CI 1.08-1.48, P = 0.004). For subjects beginning the study at the contemplation stage of change, intervention subjects reported progressing forward on the stage of change scale for 75.0% (SD, 36.3%) of their health risks compared to 52.1% (SD, 47.1%) in the control group (P = 0.006). Conclusion: The scalability of Gabby has the potential to improve women's nutritional health as an adjunct to clinical care or at the population health level. Further studies are needed to determine if improving nutrition and supplement risks can impact clinical outcomes including optimization of weight. Clinical Trial Registration: ClinicalTrials.gov, identifier NCT01827215.

Improving the health of young African American women in the preconception period using health information technology: a randomised controlled trial.

BACKGROUND: Preconception care focuses on improving women's health before pregnancy as a means to improve their health and future pregnancy outcomes. How to effectively deliver such care is unknown. The aim of this research was to assess the impact of an embodied conversational agent system on preconception risks among African American and Black women. METHODS: We did an open-label, randomised controlled trial of women aged 18-34 years, self-identified as African American or Black, or both, and not pregnant, recruited from 35 states in the USA. Sealed allocation envelopes (in permuted blocks of six and eight, prepared using a random number generator) were opened after enrolment. Intervention participants received an online conversational agent called Gabby that assessed 102 preconception risks and delivered 12 months of tailored dialogue using synthesised speech, non-verbal behaviour, visual aids, and health behaviour change techniques such as motivational interviewing. The control group received a letter listing their preconception risks and encouraging them to talk with a clinician. The primary outcome was the proportion of identified risks at the action or maintenance stage of change at months 6 and 12. The study is registered with ClinicalTrials.gov, NCT01827215. FINDINGS: From March 11, 2014, through July 8, 2018, 528 women recruited from 35 states and 242 cities across the USA received the Gabby intervention (n=262) or were assigned to the control group (n=266). Participants identified a mean of 21 preconception risks per woman (SD 9·9). In the intention-to-treat analysis, at 6 months, intervention women reported reaching the action or maintenance stage of change for 50·0% (SD 28·9) of those preconception risks identified compared with 42·7% (28·3) in the control group (incidence rate ratio 1·16, 95% CI 1·07-1·26; p=0·0004). This result persisted at 12 months. INTERPRETATION: The Gabby system has the potential to improve women's preconception health. Further research is needed to determine if improving preconception risks impacts outcomes such as preterm delivery. FUNDING: National Institute for Minority Health and Health Disparities.