Applying cognitive walkthrough methodology to improve the usability of an equity-focused implementation strategy.

BACKGROUND: Our research team partnered with primary care and quality improvement staff in Federally Qualified Community Health Centers (CHCs) to develop Partnered and Equity Data-Driven Implementation (PEDDI) to promote equitable implementation of evidence-based interventions. The current study used a human-centered design methodology to evaluate the usability of PEDDI and generate redesign solutions to address usability issues in the context of a cancer screening intervention. METHODS: We applied the Cognitive Walkthrough for Implementation Strategies (CWIS), a pragmatic assessment method with steps that include group testing with end users to identify and prioritize usability problems. We conducted three facilitated 60-min CWIS sessions with end users (N = 7) from four CHCs that included scenarios and related tasks for implementing a colorectal cancer (CRC) screening intervention. Participants rated the likelihood of completing each task and identified usability issues and generated ideas for redesign solutions during audio-recorded CWIS sessions. Participants completed a pre-post survey of PEDDI usability. Our research team used consensus coding to synthesize usability problems and redesign solutions from transcribed CWIS sessions. RESULTS: Usability ratings (scale 0-100: higher scores indicating higher usability) of PEDDI averaged 66.3 (SD = 12.4) prior to the CWIS sessions. Scores averaged 77.8 (SD = 9.1) following the three CWIS sessions improving usability ratings from "marginal acceptability" to "acceptable". Ten usability problems were identified across four PEDDI tasks, comprised of 2-3 types of usability problems per task. CWIS participants suggested redesign solutions that included making data fields for social determinants of health and key background variables for identifying health equity targets mandatory in the electronic health record and using asynchronous communication tools to elicit ideas from staff for adaptations. CONCLUSIONS: Usability ratings indicated PEDDI was in the acceptable range following CWIS sessions. Staff identified usability problems and redesign solutions that provide direction for future improvements in PEDDI. In addition, this study highlights opportunities to use the CWIS methodology to address inequities in the implementation of cancer screening and other clinical innovations in resource-constrained healthcare settings.

Preferred language and disease severity predict evaluation for liver transplantation among patients admitted with alcohol-associated hepatitis.

BACKGROUND: Liver transplantation (LT) for alcohol-associated hepatitis (AH) is a relatively new practice and limited work exists surrounding the role social determinants of health may play in evaluation. This includes language that defines how patients interact with the healthcare system. We explored characteristics of patients with AH evaluated for LT within an integrated health system. METHODS: Using a system-wide registry, we identified admissions for AH from 1 January 2016 to 31 July 2021. A multivariable logistic regression model was developed to evaluate independent predictors of LT evaluation. RESULTS: Among 1723 patients with AH, 95 patients (5.5%) underwent evaluation for LT. Evaluated patients were more likely have English as their preferred language (95.8% vs 87.9%, P = 0.020), and had higher INR (2.0 vs 1.4, P < 0.001) and bilirubin (6.2 vs 2.9, P < 0.001). AH patients who underwent evaluation had a lower burden of mood and stress disorders (10.5% vs 19.2%, P < 0.05). Patients with English preferred language had a greater than three times adjusted odds of LT evaluation compared with all others when adjusting for clinical disease severity, insurance status, sex, and psychiatric comorbid conditions (OR, 3.20; 95% CI, 1.14-9.02). CONCLUSION: Patients with AH evaluated for LT were more likely to have English as their preferred language, more psychiatric comorbidities, and more severe liver disease. Despite adjustment for psychiatric comorbidities and disease severity, English preferred language remained the strongest predictor of evaluation. As programs expand LT for AH, it is vital to build equitable systems that account for the interaction between language and healthcare in transplantation.

Group Home Staff Experiences With Work and Health in the COVID-19 Pandemic in Massachusetts.

Importance: Direct reports of the experiences of staff working in group homes for people with serious mental illness (SMI) and/or intellectual or developmental disabilities (ID/DD) are rarely reported. Hearing from workers about their experiences in the COVID-19 pandemic may inform future workforce and public policy. Objective: To gather baseline data on worker experience with the perceived effects of COVID-19 on health and work in the pandemic prior to initiating an intervention to mitigate the spread of COVID-19 and to measure differences in worker experience by gender, race, ethnicity, education, and resident population served (persons with SMI and/or IDD/DD). Design, Setting, and Participants: This mixed-mode, cross-sectional survey study was conducted using online then paper-based self-administration from May to September 2021 at the end of the first year of the pandemic. Staff working in 415 group homes that provided care within 6 Massachusetts organizations serving adults aged 18 years or older with SMI and/or ID/DD were surveyed. The eligible survey population included a census of staff who were currently employed in participating group homes during the study period. A total of 1468 staff completed or partially completed surveys. The overall survey response rate was 44% (range by organization, 20% to 52%). Main Outcomes and Measures: Self-reported experiential outcomes were measured in work, health, and vaccine completion. Bivariate and multivariate analyses explore experiences by gender, race, ethnicity, education, trust in experts and employers, and population served. Results: The study population included 1468 group home staff (864 [58.9%] women; 818 [55.7%] non-Hispanic Black; 98 [6.7%] Hispanic or Latino). A total of 331 (22.5%) group home staff members reported very serious perceived effects on health; 438 (29.8%) reported very serious perceived effects on mental health; 471 (32.1%) reported very serious perceived effects on health of family and friends; and 414 reported very serious perceived effects (28.2%) on access to health services, with statistically significant differences observed by race and ethnicity. Vaccine acceptance was higher among persons with higher educational attainment and trust in scientific expertise and lower among persons who self-reported as Black or Hispanic/Latino. A total of 392 (26.7%) respondents reported needing support for health needs, and 290 (19.8%) respondents reported needing support for loneliness or isolation. Conclusions and Relevance: In this survey study, approximately one-third of group home workers reported serious personal health and access to health care barriers during the first year of the COVID-19 pandemic in Massachusetts. Addressing unmet health needs and access to health and mental health services, including inequities and disparities by race, ethnicity, and education, should benefit staff health and safety, as well as that of the individuals with disabilities who rely on them for support and care.

Enhancing the Capacity of Providers in Mental Health Integration (ECaP-MHI) in Rural Uganda: The Adaptation Process.

Purpose: Uganda adopted the World Health Organization (WHO) model of creating district health management teams (DHMT) comprised of public health officials and administrators to supervise health service delivery at the community level. The purpose of this study was to characterize the perspectives of the DMHT in providing support supervision to primary health-care providers implementing mental health integration using the pre-recorded material. Our aim was to identify barriers to individual uptake and contextual fit, and to solicit solutions for co-designed improvements. Methods: We conducted a qualitative exploratory study using one-on-one interviews informed by the Practical Robust Implementation and Sustainability Model. Results: Members of the DHMT identified a systemic gap in supporting mental health integration into primary care, and reported limited knowledge in how to supervise mental health integration and lacked data on mental health delivery and outcomes. They recommended training of the DHMT in supervising mental health integration supported by standard outcome reports, pre-recorded instructional material by psychiatrists, checklists to help guide and standardize the process, and use of visual aids illustrating mental disorders and treatments for low-health literacy populations. Conclusion: Implementing integrated mental health care using the WHO model of DHMTs as external facilitators and supervisors of primary health-care providers is potentially feasible and scalable, provided that substantial reforms occur such as training in how to provide supervision, standard collection of outcome reports, and practical tools to help guide and facilitate the process.

Exploring Opportunities to Optimize Stress and Trauma-Focused Primary Care with Low-Income Midlife and Older Women.

Trauma and trauma-related symptoms often remain hidden in the lives of low-income midlife and older women. In primary care encounters, midlife and older women are infrequently asked about trauma histories, and symptoms of trauma are commonly misinterpreted. As stress and trauma raise risk morbidity and mortality, under-recognition of trauma is a health equity issue. This secondary qualitative analysis explores stress and trauma as factors that affect primary/preventive care engagement in low-income midlife and older women. Semi-structured interviews were completed with 22 low-income midlife and older women from December 2020-January 2021. A deductive-inductive content analysis approach was guided by the Behavioral Model for Vulnerable Populations. Three categories were identified: (1) stress and competing demands; (2) history and impact of trauma; (3) integrated trauma-related behavioral health focus. Co-designing and culturally adapting stress and trauma screening and interventions may optimize stress and trauma-focused primary care while promoting health equity with socially marginalized women.

Stakeholder and Equity Data-Driven Implementation: a Mixed Methods Pilot Feasibility Study.

We conducted a mixed methods pilot feasibility study of a Stakeholder and Equity Data-Driven Implementation (SEDDI) process to facilitate using healthcare data to identify patient groups experiencing gaps in the use of evidence-based interventions (EBIs) and rapidly adapt EBIs to achieve greater access and equitable outcomes. We evaluated the feasibility and acceptability of SEDDI in a pilot hybrid type 2 effectiveness-implementation trial of a paired colorectal cancer (CRC) and social needs screening intervention at four federally qualified community health centers (CHCs). An external facilitator partnered with CHC teams to support initial implementation, followed by the SEDDI phase focused on advancing health equity. Facilitation sessions were delivered over 8 months. Preliminary evaluation of SEDDI involved convergent mixed methods with quantitative survey and focus group data. CHCs used data to identify gaps in outreach and completion of CRC screening with respect to race/ethnicity, gender, age, and language. Adaptations to improve access and use of the intervention included cultural, linguistic, and health literacy tailoring. CHC teams reported that facilitation and systematic review of data were helpful in identifying and prioritizing gaps. None of the four CHCs completed rapid cycle testing of adaptations largely due to competing priorities during the COVID-19 response. SEDDI has the potential for advancing chronic disease prevention and management by providing a stakeholder and data-driven approach to identify and prioritize health equity targets and guide adaptations to improve health equity. ClinicalTrials.gov Identifier: NCT04585919.

Virtual Learning Collaborative Compared to Technical Assistance as a Strategy for Implementing Health Promotion in Routine Mental Health Settings: A Hybrid Type 3 Cluster Randomized Trial.

BACKGROUND: Despite widespread use of learning collaboratives, few randomized trials have evaluated their effectiveness as a strategy for implementing evidence based practices. This randomized trial evaluated the effectiveness of a virtual learning collaborative (VLC) in the implementation of a health promotion program for persons with serious mental illness (SMI) aimed at reducing cardiovascular risk reduction in routine mental health settings, compared to routine technical assistance (TA). METHODS: Fifty-five mental health provider organizations were recruited to participate in a Hybrid Type 3 cluster randomized implementation-effectiveness trial of the InSHAPE health promotion program for persons with SMI. Sites were stratified by size and randomized prior to implementation to an 18-month group-based VLC with monthly learning sessions or individual site TA with four scheduled conference calls over 18 months. Primary implementation and service outcomes were InSHAPE program fidelity, participation, and reach. Primary clinical outcomes were weight loss, cardiorespiratory fitness, and cardiovascular risk reduction (≥ 5% weight loss or > 50 m increase on the 6-Minute Walk Test). Program fidelity was assessed at 6, 12, and 24 months; program participation and participant-level outcomes were assessed at 3, 6, 9, and 12 months. RESULTS: VLC (N = 27) and TA (N = 28) sites were similar in organizational characteristics (all p > 0.05). At 12-month follow-up mean program fidelity score was higher in VLC compared to TA (90.5 vs. 79.1; p = 0.002), with over double the proportion with good fidelity (VLC = 73.9% vs. TA = 34.8%; p = 0.009). Over half of individuals in both VLC and TA achieved cardiovascular risk-reduction at 6-month follow-up (VLC: 51.0%; TA: 53.5%; p = 0.517) and at 12-month follow-up (62% VLC and TA; p = 0.912). At 12-month follow-up VLC compared to TA was associated with greater participation (VLC 69.5% vs. TA 56.4% attending at least 50% of sessions, p = 0.002); larger caseloads (VLC = 16 vs. TA = 11; p = 0.024); greater reach consisting of 45% greater number of participants receiving InSHAPE (VLC = 368 vs. TA = 253), and 58% greater number of participants achieving cardiovascular risk reduction (VLC = 150 vs. TA = 95). CONCLUSION: Virtual learning collaboratives compared to routine technical assistance as an implementation strategy for evidence-based health promotion promote greater intervention fidelity, greater levels of intervention participation, greater reach, and a greater number of participants achieving clinically significant risk reduction outcomes, while achieving similarly high levels of intervention effectiveness for participants who completed at least 6 months of the program.

Transitional Care Management Quality Improvement Methods That Reduced Readmissions in a Rural, Primary Care System.

BACKGROUND: Transitional Care Management (TCM) is a reimbursable service designed to minimize hospital readmissions. We describe a multifaceted approach to increase TCM services among 107 primary care providers in a rural catchment area of 4250 square miles. OBJECTIVE: The primary objective was to increase use of TCM phone calls, office visits, and billing codes; the secondary objective was to decrease hospital readmissions. METHODS: We utilized a learning health system model, an improvement support team (IST), and a learning collaborative that included webinars and in-person support. The process emphasized user-centered system redesign, coaching, electronic health record (EHR) improvements, and real-time feedback. Analyses included statistical process control charts, box plots, analysis of variance, and t-tests. RESULTS: The IST engaged stakeholders to design and test TCM workflows and EHR prototypes. This resulted in rapid, iterative improvements and system-wide spread of new processes. In the month following implementation, TCM calls and visits quadrupled and increased during 18 subsequent months. Pragmatically, most discharged patients (95% in a subsample) did not receive both the TCM call and visit, serving as a comparison group. The Readmission rate for patients receiving complete TCM services was 5.0% (n = 101) versus 11.9% for comparators (n = 2103, P = .03). Billing codes increased initially, then returned to baseline. CONCLUSIONS: Our approach led to rapid, sustained scaling of TCM calls and visits in a rural primary care group. Patients who received TCM calls and visits had significantly fewer readmissions. Training of new staff, including PCPs, is required for sustainability. Future research is warranted to increase adoption and evaluate additional outcomes including mortality rates, patient satisfaction, and health care economics.

Assessing a digital peer support self-management intervention for adults with serious mental illness: feasibility, acceptability, and preliminary effectiveness.

OBJECTIVE: To assess the feasibility, acceptability, and preliminary effectiveness of digital peer support integrated medical and psychiatric self-management intervention ("PeerTECH") for adults with a serious mental illness. METHODS: Twenty-one adults with a chart diagnosis of a serious mental illness (i.e., schizophrenia, schizoaffective disorder, bipolar disorder, or treatment-refractory major depressive disorder) and at least one medical comorbidity (i.e., cardiovascular disease, obesity, diabetes, chronic obstructive pulmonary disease, hypertension, and/or high cholesterol) aged 18 years and older received the PeerTECH intervention in the community. Nine peer support specialists were trained to deliver PeerTECH. Data were collected at baseline and 12-weeks. RESULTS: This pilot study demonstrated that a 12-week, digital peer support integrated medical and psychiatric self-management intervention for adults with serious mental illness was feasible and acceptable among peer support specialists and patients and was associated with statistically significant improvements in self-efficacy to manage chronic disease and personal empowerment. In addition, pre/post non-statistically significant improvements were observed in psychiatric self-management, medical self-management skills, and feelings of loneliness. CONCLUSIONS: This single-arm pre/post pilot study demonstrated preliminary evidence peer support specialists could offer a fidelity-adherent digital peer support self-management intervention to adults with serious mental illness. These findings build on the evidence that a digital peer support self-management intervention for adults with serious mental illness designed to improve medical and psychiatric self-management is feasible, acceptable, and shows promising evidence of improvements in clinical outcomes. The use of technology among peer support specialists may be a promising tool to facilitate the delivery of peer support and guided evidence-based self-management support.People with serious mental illness (SMI; defined as individuals diagnosed with schizophrenia spectrum disorder, bipolar disorder, or treatment-refractory major depressive disorder) are increasingly utilizing peer support services to support their health and recovery. Peer support is defined as shared knowledge, experience, emotional, social, and/or practical assistance to support others with similar lived experiences (Solomon, 2004). Most recently the definition also includes the provision of evidence-based peer-supported self-management services (Fortuna et al., 2020). Mental health peer support can augment the traditional mental health treatment system through providing support services to maintain recovery between clinical encounters (Solomon, 2004) and is classified by the World Health Organization as an essential element of recovery (World, Health, and Organization, About social determinants of health, 2017).

Advancing the Science of Recovery: The Utility of the Recovery Assessment Scale in the Prediction of Self-Directed Health and Wellness Outcomes in Adults with a Diagnosis of a Serious Mental Illness.

Adults with serious mental illness commonly experience comorbid chronic physical conditions and experience a reduced life expectancy of 10-25 years compared to the general population (Saha et al. in Arch Gen Psychiatry 64(10):1123-31.  2007; Hayes et al. in Acta Psychiatr Scand 131(6):417-25. 2015; Walker et al. in JAMA Psychiatry 72(4):334-41. 2015). Dimensions of personal recovery may have real-world implications that extend beyond functional and mental health outcomes to impact the self-directed health and wellness of adults with serious mental illness. This study examined the predictive utility of the Recovery Assessment Scale with respect to medical self-efficacy, self-management, psychiatric symptoms, and community functioning for adults with serious mental illness. Data were derived from a secondary analysis of baseline and 10-month data collected from a randomized control trial with adults aged 18 years and older with a diagnosis of bipolar disorder, schizoaffective disorder, schizophrenia, or major depressive disorder (N=56). A linear regression was conducted to examine the predictive value of total baseline RAS scores on self-efficacy at 10 months while controlling for study group. This model significantly predicted self-efficacy (F (2, 53) = 13.28, p < .001) and accounted for 36.1% of the variance. Total baseline RAS scores significantly predicted self-efficacy (ß = 059, p < .001); specifically, higher baseline RAS scores were associated with greater self-efficacy. A greater degree of recovery may facilitate greater medical self-efficacy in managing chronic disease in people diagnosed with a serious mental illness. Future intervention approaches may consider recovery-focused therapeutic targets such as peer support to promote self-efficacy to manage chronic diseases in people with serious mental illness.

Sleep quality and its relationship to mental health, physical health and health behaviours among young adults with serious mental illness enrolled in a lifestyle intervention trial.

AIM: To characterize subjective sleep quality and examine its associations with mental health, physical health and health behaviours in a transdiagnostic sample of young adults with serious mental illness (SMI) enrolled in a lifestyle intervention trial. METHODS: Baseline data from a lifestyle intervention trial with young adults (ages 18-35 years) with SMI included the Pittsburgh Sleep Quality Index (PSQI), mental health, physical health and health behaviour outcomes. Descriptive statistics and multiple linear regression were used in analyses. RESULTS: Of 150 participants, 76% were categorized with poor sleep quality. Depressive symptoms were significantly associated with sleep quality (ß = .438, p < .001); however, no association was found with physical health and health behaviours. CONCLUSIONS: Young adults with SMI enrolled in lifestyle interventions may benefit from treatment that addresses sleep as part of a comprehensive approach to health promotion with attention to the role of depressive symptoms in sleep quality.

Group Lifestyle Intervention With Mobile Health for Young Adults With Serious Mental Illness: A Randomized Controlled Trial.

OBJECTIVE: Evidence-based lifestyle interventions tailored to young adults with serious mental illness are needed to reduce their cardiometabolic risk. This study evaluated the effectiveness of a group lifestyle intervention ("PeerFIT") enhanced with mobile health (mHealth) compared with one-on-one mHealth coaching (basic education supported by activity tracking [BEAT]) for young adults with serious mental illness who were overweight or obese. METHODS: Participants were young adults ages 18-35 years with serious mental illness and a body mass index ≥25 kg/m2, who were randomly assigned to PeerFIT or BEAT. Research staff collected data at baseline and at 6 and 12 months. Main outcomes were clinically significant changes from baseline in weight (≥5% weight loss), cardiorespiratory fitness (CRF; increase of >50 m on the 6-minute walk test), and cardiovascular disease (CVD) risk reduction (clinically significant weight loss or CRF improvement). RESULTS: Participants were 150 young adults with a mean ± SD body mass index of 37.1±7.4. Intent-to-treat analyses revealed no significant between-group difference for weight-loss, CRF, or CVD outcomes at 6 and 12 months. Participants in both conditions achieved clinically significant CVD risk reduction, weight loss, and CRF from baseline to 6 and 12 months, and all these improvements were statistically significant (p<0.01). CONCLUSION: The PeerFIT group lifestyle intervention was not superior to one-on-one mHealth coaching in achieving clinically significant changes in weight, CRF, and CVD risk reduction. Although both interventions improved outcomes, low-intensity mHealth coaching may be a more scalable approach for addressing modifiable cardiometabolic risk factors among young adults with serious mental illness.

Applying an Equity Lens to Characterizing the Process and Reasons for an Adaptation to an Evidenced-based Practice.

BACKGROUND: Adaptations to evidence-based practices (EBPs) are common but can impact implementation and patient outcomes. In our prior research, providers in routine care made a fidelity-inconsistent adaptation to an EBP that improved health outcomes in people with serious mental illness (SMI). The purpose of this study was to characterize the process and reasons for the adaptation using a framework for reporting adaptations and modifications to EBPs, with a focus on equity. METHODS: This study used qualitative data collected during a national implementation of the InSHAPE EBP addressing obesity in persons with SMI. We reviewed transcripts from five behavioral health organizations that made a successful fidelity-inconsistent adaptation to a core component of InSHAPE that was associated with cardiovascular risk reduction. We coded the data using the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) with an emphasis on exploring whether the adaptation addressed inequities in using the EBP related to social determinants of health. RESULTS: Across the five agencies, the fidelity-inconsistent adaptation was characterized as unplanned and reactive in response to challenges InSHAPE teams experienced delivering the intervention in community fitness facilities as intended. In all cases, the goal of the adaptation was to improve intervention access, feasibility and fit. Social and economic disadvantage were noted obstacles to accessing fitness facilities or gyms among participants with SMI, which led agencies to adapt the program by offering sessions at the mental health center. CONCLUSIONS: Findings from this study show the advantages of applying a health equity lens to evaluate how obstacles such as poverty and discrimination influence EBP adaptations. Recommendations can also assist researchers and community partners in making proactive decisions about allowable adaptations to EBPs.

Usability Testing of a Mobile Health Application for Self-Management of Serious Mental Illness in a Norwegian Community Mental Health Setting.

BACKGROUND: For digital tools to have high usability and fit service users' health needs and socio-environmental context, it is important to explore usability with end-users and identify facilitators and barriers to uptake. OBJECTIVE: To conduct user testing of the smartphone health application, PeerTECH, in a Norwegian community mental health setting. METHODS: Semistructured interviews and usability testing of the PeerTECH app using the Think-Aloud approach and task analysis among 11 people (three individuals with a serious mental illness, two peer support workers, and six mental health professionals). RESULTS: Study participants perceived PeerTECH as a relevant tool to support self-management of their mental and physical health conditions, and they provided valuable feedback on existing features as well as suggestions for adaptions to the Norwegian context. The task analysis revealed that PeerTECH is easy to manage for service users and peer support workers. CONCLUSIONS: Adapting the PeerTECH smartphone app to the Norwegian context may be a viable and useful tool to support individuals with serious mental illness.

Barriers, facilitators, and opportunities to optimize care engagement in a diverse sample of older low-income women: A qualitative study.

The growing population of aging women in the United States is disproportionately at-risk for adverse physical, behavioral, mental, and psychosocial health conditions. Engagement with preventive care is critical to address these risk factors. A qualitative descriptive approach was used to explore patterns of healthcare use, facilitators, barriers, and opportunities to optimize primary/preventive care engagement among low-income midlife and older women. Themes were deductively derived from the Behavioral Model for Vulnerable Populations. Categories were inductively determined: barriers to care engagement; facilitators of care engagement; opportunities to optimize primary/preventive care engagement. Themes emerging from this study suggest that experiences related to discrimination, psychological health, trauma, and prioritizing care of others negatively influence care engagement; while respect, continuity, and clinician gender and racial/ethnic concordance enhance care participation. Efforts aiming to engage low-income aging women in care should focus on addressing barriers, building on facilitators, and leveraging contemporary telehealth-outreach solutions.

The essential role of population health during and beyond COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic has fundamentally changed how health care systems deliver services and revealed the tenuousness of care delivery based on face-to-face office visits and fee-for-service reimbursement models. Robust population health management, fostered by value-based contract participation, integrates analytics and agile clinical programs and is adaptable to optimize outcomes and reduce risk during population-level crises. In this article, we describe how mature population health programs in a learning health system have been rapidly leveraged to address the challenges of the pandemic. Population-level data and care management have facilitated identification of demographic-based disparities and community outreach. Telemedicine and integrated behavioral health have ensured critical primary care and specialty access, and mobile health and postacute interventions have shifted site of care and optimized hospital utilization. Beyond the pandemic, population health can lead as a cornerstone of a resilient health system, better prepared to improve public health and mitigate risk in a value-based paradigm.

The Use and Meaning of the Term Obesity in Rural Older Adults: A Qualitative Study.

The term "obesity" is associated with societal stigma and discrimination. Eight individual semi-structured interviews and five focus groups with 29 community-dwelling, rural older adults with obesity, seven primary care clinicians, and four rural community leaders were completed using purposive and snowball sampling. Clinicians perceived that older adults are less affected by obesity stigma than younger adults, yet this was not observed by community leaders; however, older participants with obesity reported that they often felt ashamed and/or stigmatized because of their weight. There was also a disconnect between clinician and older adult understanding of obesity. For older adults with obesity, the word "obesity" was associated with negative connotations. Just as physiological aspects of obesity persist into older adulthood, so do psychological aspects, such as perceptions of stigma. The use of the word "obesity" in medical settings may hinder communication between clinician and older participants. Heightened awareness may change the dialogue around obesity.

A Weight Loss Intervention Augmented by a Wearable Device in Rural Older Adults With Obesity: A Feasibility Study.

BACKGROUND: Older persons with obesity aged 65+ residing in rural areas have reduced access to weight management programs due to geographic isolation. The ability to integrate technology into health promotion interventions shows a potential to reach this underserved population. METHODS: A 12-week pilot in 28 older rural adults with obesity (body mass index [BMI] ≥ 30 kg/m2) was conducted at a community aging center. The intervention consisted of individualized, weekly dietitian visits focusing on behavior therapy and caloric restriction with twice weekly physical therapist-led group strengthening training classes in a community-based aging center. All participants were provided a Fitbit Flex 2. An aerobic activity prescription outside the strength training classes was provided. RESULTS: Mean age was 72.9 ± 5.3 years (82% female). Baseline BMI was 37.1 kg/m2, and waist circumference was 120.0 ± 33.0 cm. Mean weight loss (pre/post) was 4.6 ± 3.2 kg (4.9 ± 3.4%; p < .001). Of the 40 eligible participants, 33 (75%) enrolled, and the completion rate was high (84.8%). Objective measures of physical function improved at follow-up: 6-minute walk test improved: 35.7 ± 41.2 m (p < .001); gait speed improved: 0.10 ± 0.24 m/s (p = .04); and five-times sit-to-stand improved by 2.1 seconds (p < .001). Subjective measures of late-life function improved (5.2 ± 7.1 points, p = .003), as did Patient-Reported Outcome Measurement Information Systems mental and physical health scores (5.0 ± 5.7 and 4.4 ± 5.0, both p < .001). Participants wore their Fitbit 93.9% of all intervention days, and were overall satisfied with the trial (4.5/5.0, 1-5 low-high) and with Fitbit (4.0/5.0). CONCLUSIONS: A multicomponent obesity intervention incorporating a wearable device is feasible and acceptable to older adults with obesity, and potentially holds promise in enhancing health.

Mind, Mood, Mobility: Supporting Independence Among Rural Older Adults at Risk for Functional Decline.

Rural communities need access to effective interventions that can prevent functional decline among a growing population of older adults. We describe the conceptual framework and rationale for a multicomponent intervention ("Mind, Mood, Mobility") delivered by Area Agency on Aging staff for rural older adults at risk for functional decline due to early impairments in cognition, mood, or mobility. Our proposed model utilizes primary care to identify at-risk older adults, combines evidence-based interventions that address multiple risk factors simultaneously, and leverages a community-based aging services workforce for intervention delivery.