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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. 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 A (HbA ) and physical activity (measured in metabolic equivalent of task [MET]) at 6 months. 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 HbA ≥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 HbA 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. 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 HbA 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. 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. ClinicalTrials.gov NCT02726425; https://clinicaltrials.gov/ct2/show/NCT02726425.

The management of type 2 diabetes mellitus (T2DM) includes mastery of complex care activities, self-management skills, and routine health care encounters to optimize glucose control and achieve good health. Given the lifelong course of T2DM, patients are faced with navigating complex medical and disease-specific information. This health-seeking behavior is a driver of health disparities and is associated with hospitalization and readmission. Given that health-seeking behavior is a potentially intervenable social determinant of health, a better understanding of how people navigate these complex systems is warranted. To address this need, we aimed to develop new patient-reported outcome (PRO) measures that evaluate health-seeking behavior in persons with T2DM. These new PROs were designed to be included in the Re-Engineered Discharge for Diabetes-Computer Adaptive Test (REDD-CAT) measurement system, which includes several other PROs that capture the importance of social determinants of health. Overall, 225 participants with T2DM completed 56 self-report items that examined health-seeking behaviors. Classical Test Theory and Item Response Theory were used for measurement development. Exploratory factor analysis (EFA; criterion ratio of eigenvalue 1 to eigenvalue 2 being >4; variance for eigenvalue 1 ≥40%) and confirmatory factor analysis (CFA; criterion 1-factor CFA loading <.50; 1-factor CFA residual correlation >.20; comparative fit index ≥0.90; Tucker-Lewis index ≥0.90; root mean square error of approximation <0.15) were used to determine unidimensional sets of items. Items with sparse responses, low-adjusted total score correlations, nonmonotonicity, low factor loading, and high residual correlations of high error modification indices were candidates for exclusion. A constrained graded response model was used to examine item misfit, and differential item functioning was examined to identify item bias. Cronbach α was used to examine internal consistency reliability for the new PROs (criterion ≥0.70), and floor and ceiling effects were examined (criterion ≤20%). Four unidimensional sets of items were supported by EFA (all EFA eigenvalue ratios >4; variance for eigenvalue 1=41.4%-67.3%) and CFA (fit statistics all exceeded criterion values). This included (1) \"Health-Seeking Behavior: PCP-Specific\" (6 items); (2) \"Health-Seeking Behavior: General Beliefs\" (13 items); (3) \"Health-Seeking Behavior: Family or Friends-Specific\" (5 items); and (4) \"Health-Seeking Behavior: Internet-Specific\" (4 items). All items were devoid of differential item functioning for age, sex, education, or socioeconomic status factors. \"Health-Seeking Behavior: General Beliefs\" was developed to include both a computer adaptive test and a 6-item short form version; all other PROs were developed as static short forms. The psychometric reliability of these new PROs was supported; internal consistency ranged from acceptable to excellent (Cronbach α=.78-.91), and measures were free of significant floor or ceiling effects (floor effects range: 0%-8.9%; ceiling effects range: 0%-8.4%). The new REDD-CAT Health-Seeking Behavior PROs provide reliable assessments of health-seeking behaviors among those with T2DM.

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.

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.

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.

Housing security is a key social determinant of behavior related to health outcomes. 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. Qualitative data, literature reviews, and cross-sectional survey study. A total of 225 people with T2DM provided responses to the items in this item pool. A new item pool that evaluates important aspects of housing security was developed using stakeholder data from focus groups of persons with T2DM. 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. 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.

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.

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. 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. 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. 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. 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.