Updating and evaluating a research best practices training course for social and behavioral research professionals.

Introduction: The clinical and translational research workforce involved in social and behavioral research (SBR) needs to keep pace with clinical research guidance and regulations. Updated information and a new module on community and stakeholder engagement were added to an existing SBR training course. This article presents evaluation findings of the updated course for the Social and Behavioral Workforce. Methods and Materials: Participants working across one university were recruited. Course completers were sent an online survey to evaluate the training. Some participants were invited to join in a focus group to discuss the application of the training to their work. We performed descriptive statistics and conducted a qualitative analysis on focus group data. Results: There were 99 participants from diverse backgrounds who completed the survey. Most reported the training was relevant to their work or that of the study teams they worked with. Almost half (46%) indicated they would work differently after participating. Respondents with community or stakeholder engaged research experience vs. those without were more likely to report that the new module was relevant to study teams they worked with (t = 5.61, p = 0.001), and that they would work differently following the training (t = 2.63, p = 0.01). Open-ended survey responses (n = 99) and focus group (n = 12) data showed how participants felt their work would be affected by the training. Conclusion: The updated course was rated highly, particularly by those whose work was related to the new course content. This course provides an up-to-date resource for the training and development for the Social and Behavioral Workforce.

A progressive agenda toward equity in pain care.

Background: There are inconsistencies documenting the pain experience of Black adults and other racially minoritized populations. Often disregarded, pain among these groups is characterized by misconceptions, biases, and discriminatory practices, which may lead to inequitable pain care. Methods: To address this issue, this professional commentary provides an overview of pain reform and the need to declare chronic pain as a critical public health issue, while requiring that equity be a key focus in providing comprehensive pain screening and standardizing epidemiological surveillance to understand the prevalence and incidence of pain. Results and Conclusions: This roadmap is a call to action for all sectors of research, practice, policy, education, and advocacy. More importantly, this progressive agenda is timely for all race and other marginalized groups and reminds us that adequate treatment of pain is an obligation that cannot be the responsibility of one person, community, or institution, but rather a collective responsibility of those willing to service the needs of all individuals.

Rural-Urban Differences in Telehealth Utilization and Delayed Care During the COVID-19 Pandemic.

Purpose: Use of telehealth among older adults increased during the COVID-19 pandemic, but patterns and correlates of its use are poorly understood. The present study uses a representative sample of Medicare beneficiaries to examine rural-urban differences in telehealth utilization during the pandemic and to investigate the associations between the number and type of telehealth services utilized and delayed in-person care. Methods: The study sample (N = 3,257) came from Round 10 of the National Health and Aging Trends Study. Telehealth was measured in three modalities: phone calls, e-mails or portal messages, and video calls. Multivariable Poisson and logistic regressions were performed to test the study aims, adjusting for sociodemographic and health controls. Analytic weights and survey design factors were incorporated to generate population estimates. Findings: Results show that rurality is associated with lower rates (incidence rate ratio = 0.78, p < 0.001) and lower odds of telehealth use compared with urban older adults. Specifically, rural older adults were less likely to use e-mail or portal messages (adjusted odds ratio [AOR] = 0.43, p < 0.001) and video calls (AOR = 0.57, p = 0.004) to communicate with their usual health care provider. Use of any 2 forms of telehealth was associated with greatest increased odds of delayed in-person care among rural and urban populations during the pandemic. Conclusions: Future efforts are needed to expand the utilization of e-mail/portal messages and video call telehealth services among rural older adults. Telehealth may be an important mechanism to support care continuity during and beyond the COVID-19 pandemic for both urban and rural older adults when in-person modalities of care are not feasible.

Racism exposure and trauma accumulation perpetuate pain inequities-advocating for change (RESTORATIVE): A conceptual model.

Experiences of racism occur across a continuum from denial of services to more subtle forms of discrimination and exact a significant toll. These multilevel systems of oppression accumulate as chronic stressors that cause psychological injury conceptualized as racism-based traumatic stress (RBTS). RBTS has overlapping symptoms with posttraumatic stress disorder (PTSD) with the added burden that threats are constantly present. Chronic pain is a public health crisis that is exacerbated by the intersection of racism and health inequities. However, the relationship between RBTS and pain has not yet been explored. To highlight how these phenomena are interlinked, we present Racism ExpoSure and Trauma AccumulatiOn PeRpetuate PAin InequiTIes-AdVocating for ChangE (RESTORATIVE); a novel conceptual model that integrates the models of racism and pain and demonstrates how the shared contribution of trauma symptoms (e.g., RBTS and PTSD) maintains and perpetuates chronic pain for racialized groups in the United States. Visualizing racism and pain as "two halves of the same coin," in which the accumulative effects of numerous events may moderate the severity of RBTS and pain, we emphasize the importance of within-group distinctiveness and intersectionality (overlapping identities). We call on psychologists to lead efforts in applying the RESTORATIVE model, acting as facilitators and advocates for the patient's lived experience with RBTS in clinical pain care teams. To assist with this goal, we offer suggestions for provider and researcher antiracism education, assessment of RBTS in pain populations, and discuss how cultural humility is a central component in implementing the RESTORATIVE model. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Mapping the Design Space of Technology-Based Solutions for Better Chronic Pain Care: Introducing the Pain Tech Landscape.

OBJECTIVES: Technology has substantial potential to transform and extend care for persons with chronic pain, a burdensome and costly condition. To catalyze the development of impactful applications of technology in this space, we developed the Pain Tech Landscape (PTL) model, which integrates pain care needs with characteristics of technological solutions. METHODS: Our interdisciplinary group representing experts in pain and human factors research developed PTL through iterative discussions. To demonstrate one potential use of the model, we apply data generated from a narrative review of selected pain and technology journals (2000-2020) in the form of heat map overlays, to reveal where pain tech research attention has focused to date. RESULTS: The PTL comprises three two-dimensional planes, with pain care needs on each x axis (measurement to management) and technology applications on the y axes according to a) user agency (user- to system-driven), b) usage time frame (temporary to lifelong), and c) collaboration (single-user to collaborative). Heat maps show that existing applications reside primarily in the "user-driven/management" quadrant (e.g., self-care apps). Examples of less developed areas include artificial intelligence and Internet of Things (i.e., Internet-linked household objects), and collaborative/social tools for pain management. CONCLUSIONS: Collaborative development between the pain and tech fields in early developmental stages using the PTL as a common language could yield impactful solutions for chronic pain management. The PTL could also be used to track developments in the field over time. We encourage periodic reassessment and refinement of the PTL model, which can also be adapted to other chronic conditions.

Heart Disease Self-management for African American Older Adults: Outcomes of an Adapted Evidence-Based Intervention.

Background and Objectives: To assess the impact of an evidence-based self-management intervention adapted through a community-engaged process for African American midlife and older adults with heart disease and/or cardiovascular risk factors. Research Design and Methods: Adults 50 years and over, living in or near Detroit, MI, with diagnosed heart disease or greater or equal to two major risk factors for heart disease, were randomized to a 7-week group-format program called Take Heart, or a usual-care control group. Take Heart included education about heart disease and support for behavioral lifestyle change, using a goal-setting process based on self-regulation theory. Outcome data were collected via telephone surveys at baseline and 1 year from baseline. Primary outcomes were self-reported emergency department visits and hospitalizations in the last year. Secondary outcomes were health-related quality of life (PROMIS-29 Adult Profile) and cardiac symptom burden. Results: A total of 453 participants enrolled (74% female, 84% African American, mean age 65.4 years; 55% with diagnosed heart disease and 45% with risk factors only); 362 provided baseline and follow-up data. Using generalized linear and binomial regression models, at 12-month follow-up, there were no significant differences between intervention and control groups in ED visits or hospitalizations. Intervention versus control participants had greater improvements in PROMIS fatigue (p = .003) and sleep (p = .04) subscales as well as cardiac symptom burden (p = .04). Discussion and Implications: The Take Heart intervention was associated with modest improvements in sleep, fatigue, and cardiac symptom burden. Take Heart was well received and has potential for dissemination by agencies serving older adults.Clinical Trial Registration Number: https://www.clinicaltrials.gov/ct2/show/NCT02950818.

Premature discontinuation among individuals with epilepsy participating in epilepsy self-management research interventions.

OBJECTIVE: The Managing Epilepsy Well (MEW) Network conducts epilepsy self-management (ESM) intervention development, testing, and archival clinical trials data analyses in the MEW Network Integrated Database (MEW-DB). However, not all trial participants fully benefit from ESM due to prematurely discontinuing program participation. This analysis sought to identify demographic and clinical predictors of premature discontinuation (PD) of ESM interventions available in the MEW-DB. METHODS: Data from prior studies were included if: 1) they were prospective trials testing an ESM intervention, 2) included baseline assessment and at least one post-intervention assessment, and 3) included data on PD. Dependent variables were all-cause PD, categorized as a binary variable (yes/no) and time to PD for the intervals between baseline and follow-up visit 1 (V1; approximately week 12) and visit two (V2; approximately week 24). Multivariable Cox proportional hazard models were used to identify factors affecting PD time-point. Explanatory variables included age, gender, race/ethnicity, education, employment, income, marital status, psychiatric comorbidities, depressive severity, anxiety symptoms, self-efficacy, number of anti-seizure medications (ASMs), health status, seizure frequency, and study design. RESULTS: Six prior MEW-DB studies were included, consisting of 627 people, where 624 were assigned to ESM or to control. PD among randomized individuals was 14.3 % by V1 and 15.7 % by V2. Predictors for V1 PD were treatment (ESM) vs. control arm, more severe depressive symptoms and having schizophrenia. Predictors for V2 PD were younger age, white race, more severe depressive symptoms and having schizophrenia. SIGNIFICANCE: While ESM approaches can improve multiple health outcomes among people with epilepsy, nearly one in six individuals prematurely discontinues their program. These findings suggest that ESM interventionists need to be particularly attentive to program retention over the first 3 months after ESM initiation. Younger people with epilepsy, those who self-identify as white, those with schizophrenia, and/or more severe depressive symptoms may need additional support for engagement.

Confronting Racism in All Forms of Pain Research: Reframing Study Designs.

This second paper in a 3-part series on antiracism in pain research across the translational spectrum focuses on study design factors. Although objectivity is a cornerstone value of science, subjectivity is embedded in every step of the research process as investigators make choices about who they collaborate with, which research questions they ask, how they recruit participants, which research tools they use, and how they analyze and interpret data. We present theory and evidence from disciplines such as sociology, medical anthropology, statistics, and public health to discuss 4 common study design factors, including 1) the dominant biomedical narrative of pain that restricts funding and exploration of social indicators of pain, 2) low diversity and inclusion in pain research enrollment that restricts generalizability to racialized groups, 3) the use of "race" or "ethnicity" as a statistical variable and proxy for lived experiences (eg, racism, resilience), and 4) limited modeling in preclinical research for the impact of social factors on pain physiology. The information presented in this article is intended to start conversations across stakeholders in the pain field to explore how we can come together to adopt antiracism practices in our work at large to achieve equity for racialized groups. PERSPECTIVE: This is the second paper in a 3-part series on antiracism in pain research. This part identifies common study design factors that risk hindering progress toward pain care equity. We suggest reframes using an antiracism framework for these factors to encourage all pain investigators to collectively make strides toward equity.

Confronting Racism in Pain Research: A Call to Action.

Racism is an established health determinant across the world. In this 3-part series, we argue that a disregard of how racism manifests in pain research practices perpetuates pain inequities and slows the progression of the field. Our goal in part-1 is to provide a historical and theoretical background of racism as a foundation for understanding how an antiracism pain research framework - which focuses on the impact of racism, rather than "race," on pain outcomes - can be incorporated across the continuum of pain research. We also describe cultural humility as a lifelong self-awareness process critical to ending generalizations and successfully applying antiracism research practices through the pain research continuum. In part-2 of the series, we describe research designs that perpetuate racism and provide reframes. Finally, in part-3, we emphasize the implications of an antiracism framework for research dissemination, community-engagement practices and diversity in research teams. Through this series, we invite the pain research community to share our commitment to the active process of antiracism, which involves both self-examination and re-evaluation of research practices shifting our collective work towards eliminating racialized injustices in our approach to pain research. PERSPECTIVE: We call on the pain community to dismantle racism in our research practices. As the first paper of the 3-part series, we introduce dimensions of racism and its effect on pain inequities. We also describe the imperative role of cultural humility in adopting antiracism pain research practices.

Confronting Racism in All Forms of Pain Research: A Shared Commitment for Engagement, Diversity, and Dissemination.

This third paper in the "Confronting Racism in All Forms of Pain Research" series discusses adopting an antiracism framework across all pain research disciplines and highlights the significant benefits of doing so. We build upon the previous call to action and the proposed reframing of study designs articulated in the other papers in the series and seek to confront and eradicate racism through a shared commitment to change current research practices. Specifically, we emphasize the systematic disadvantage created by racialization (ie, the Eurocentric social and political process of ascribing racialized identities to a relationship, social practice, or group) and discuss how engaging communities in partnership can increase the participation of racialized groups in research studies and enrich the knowledge gained. Alongside this critical work, we indicate why diversifying the research environment (ie, research teams, labs, departments, and culture) enriches our scientific discovery and promotes recruitment and retention of participants from racialized groups. Finally, we recommend changes in reporting and dissemination practices so that we do not stigmatize or reproduce oppressive forms of power for racialized groups. Although this shift may be challenging in some cases, the increase in equity, generalizability, and credibility of the data produced will expand our knowledge and reflect the pain experiences of all communities more accurately. PERSPECTIVE: In this third paper in our series, we advocate for a shared commitment toward an antiracism framework in pain research. We identify community partnerships, diversification of research environments, and changes to our dissemination practices as areas where oppressive forms of power can be reduced.

Supervised machine learning to predict reduced depression severity in people with epilepsy through epilepsy self-management intervention.

OBJECTIVE: To develop a classifier that predicts reductions in depression severity in people with epilepsy after participation in an epilepsy self-management intervention. METHODS: Ninety-three people with epilepsy from three epilepsy self-management randomized controlled trials from the Managing Epilepsy Well (MWE) Network integrated research database met the inclusion criteria. Supervised machine learning algorithms were utilized to develop prediction models for changes in self-reported depression symptom severity. Features considered by the machine learning classifiers include age, gender, race, ethnicity, education, study type, baseline quality of life, and baseline depression symptom severity. The models were trained and evaluated on their ability to predict clinically meaningful improvement (i.e., a reduction of greater than three points on the nine-item Patient Health Questionnaire (PHQ-9)) between baseline and follow-up (<=12 weeks) depression scores. Models tested were a Multilayer Perceptron (ML), Random Forest (RF), Support Vector Machine (SVM), Logistic Regression with Stochastic Gradient Descent (SGD), K-nearest Neighbors (KNN), and Gradient Boosting (GB). A separate, outside dataset of 41 people with epilepsy was used in a validation exercise to examine the top-performing model's generalizability and performance with external data. RESULTS: All six classifiers performed better than our baseline mode classifier. Support Vector Machine had the best overall performance (average area under the curve [AUC] = 0.754, highest subpopulation AUC = 0.963). Our analysis of the SVM features revealed that higher baseline depression symptom severity, study type (i.e., intervention program goals), higher baseline quality of life, and race had the strongest influence on increasing the likelihood that a subject would experience a clinically meaningful improvement in depression scores. From the validation exercise, our top-performing SVM model performed similarly or better than the average SVM model with the outside dataset (average AUC = 0.887). SIGNIFICANCE: We trained an SVM classifier that offers novel insight into subject-specific features that are important for predicting a clinically meaningful improvement in subjective depression scores after enrollment in a self-management program. We provide evidence for machine learning to select subjects that may benefit most from a self-management program and indicate important factors that self-management programs should collect to develop improved digital tools.

Making Pain Research More Inclusive: Why and How.

Current knowledge about mechanisms and interventions for pain has largely been derived from samples that are healthier, wealthier, younger, and more likely to be White than the general population. Failure to conduct inclusive pain research not only restricts generalizability and application of findings, but also hampers the discovery of mechanisms and the development of measures and interventions that are valid across population subgroups. Most of all, inclusive practices are critical to ensure that underrepresented groups derive equitable benefit from pain research. Here, we provide guidance for the pain research community on how to adopt inclusive research practices. We define "inclusion" to encompass a range of identities and characteristics, including racialized group/ethnicity, disability status, gender identity, sexual orientation, and age. We first describe principles relevant to promoting inclusion in pain research, including attention to: 1) stakeholder engagement; 2) structural factors underlying inequities; 3) the limitations of "disparity" research; 4) intersectionality; and 5) universal design. Next, we provide checklists with practical strategies for making studies more inclusive at each stage of the research process. We conclude by calling for system-level changes to ensure that the future of pain research is socially just, scientifically productive, and responsive to the needs of all people. PERSPECTIVE: This paper offers guidance on promoting inclusion of underrepresented groups in pain research. We describe principles relevant to conducting more inclusive research; eg, attention to stakeholder engagement, structural factors, and universal design. We provide checklists with practical strategies for inclusion at each stage of the research process.

No increased risk of Alzheimer's disease among people with immune-mediated inflammatory diseases: findings from a longitudinal cohort study of U.S. older adults.

OBJECTIVE: Immune-mediated inflammatory diseases (IMID) are characterized by systemic inflammation affecting the joints and bodily organs. Studies examining the association between individual IMIDs and the risk of Alzheimer's disease (AD) have yielded inconsistent findings. This study examines AD risk across a group of IMIDs in a large population-based sample of older adults. METHODS: Data on a national sample of US adults over age 50 was drawn from the Health and Retirement Study (HRS) and linked Medicare claims from 2006 to 2014. IMIDs include rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis, Crohn's disease, ulcerative colitis, and related conditions. We identified IMIDs from 2006 to 2009 Medicare claims using International Classification of Diseases (ICD9-CM) codes. The date of incident AD was derived from Chronic Conditions Warehouse (CCW) identifiers. We examined the risk of AD from 2009 to 2014 using Cox proportional hazards models, both unadjusted and adjusted for age, gender, education, race, and the genetic risk factor APOE-e4. RESULTS: One hundred seventy-one (6.02%) of the 2842 total HRS respondents with Medicare coverage and genetic data were classified with IMIDs. Over the subsequent 6 years, 9.36% of IMID patients developed AD compared to 8.57% of controls (unadjusted hazard ratio (HR): 1.09, 95% CI .66-1.81, p = 0.74). Adjusted HR 1.27 (95% CI 0.76-2.12, p = 0.35). Age (HR for 10-year increment 3.56, p < .001), less than high school education (HR 1.70, p = .007), and APOE-e4 (HR 2.61, p < .001 for one or two copies), were also statistically significant predictors of AD. CONCLUSION: HRS respondents with common IMIDs do not have increased risk of Alzheimer's disease over a 6-year period.

No association between rheumatoid arthritis and cognitive impairment in a cross-sectional national sample of older U.S. adults.

BACKGROUND: Studies suggest an increased prevalence of cognitive impairment (CI) among people with rheumatoid arthritis (RA). However, most prior studies have used convenience samples which are subject to selection biases or have failed to adjust for key confounding variables. We thus examined the association between CI and RA in a large national probability sample of older US adults. METHODS: Data were from interviews with 4462 participants in the 2016 wave of the nationally representative U.S. Health and Retirement Study with linked Medicare claims. RA diagnoses were identified via a minimum of two ICD-9CM or ICD-10 codes in Medicare billing records during the prior 2 years. The Langa-Weir Classification was used to classify cognitive status as normal, cognitively impaired non-dementia (CIND), or dementia based on a brief neuropsychological battery for self-respondents and informant reports for proxy respondents. We compared the odds of CI between older adults with and without RA using logistic regression, adjusted for age, education, gender, and race. RESULTS: Medicare records identified a 3.36% prevalence of RA (150/4462). While age, gender, education, and race independently predicted CI status, controlling for these covariates we found no difference in CI prevalence according to RA status (prevalent CI in 36.7% of older adults with RA vs. 34.0% without RA; adjusted OR = 1.08, 95% CI 0.74-1.59, p = .69). CONCLUSION: There was no association between RA and CI in this national sample of older U.S. adults.

Validation of Self-Reported Rheumatoid Arthritis Using Medicare Claims: A Nationally Representative Longitudinal Study of Older Adults.

OBJECTIVE: To determine the validity of self-reported physician diagnosis of rheumatoid arthritis (RA) using multiple gold-standard measures based on Medicare claims in a nationally representative sample of older adults and to verify whether additional questions about taking medication and having seen a physician in the past two years for arthritis can improve the positive predictive value (PPV) and other measures of the validity of self-reported RA. METHODS: A total of 3768 Medicare-eligible respondents with and without incident self-reported RA were identified from the 2004, 2008, and 2012 waves of the United States Health and Retirement Study. Self-reported RA was validated using the following three claims-based algorithms: 1) a single International Classification of Diseases, ninth edition, Clinical Modification claim for RA, 2) two or more claims no greater than 2 years apart, and 3) two or more claims with at least one diagnosis by a rheumatologist. Additional self-report questions of medication use and having seen a doctor for arthritis in the past two years were validated against the same criteria. RESULTS: A total of 345 respondents self-reported a physician diagnosis of RA. Across all three RA algorithms, the PPV of self-report ranged from 0.05 to 0.16., the sensitivity ranged from 0.23 to 0.55., and the κ statistic ranged from 0.07 to 0.15. Additional self-report data regarding arthritis care improved the PPV and other validity measures of self-report; however, the values remained low. CONCLUSION: Most older adults who self-report RA do not have a Medicare claims history consistent with that diagnosis. Revisions to current self-reported RA questions may yield more valid identification of RA in national health surveys.

The Role of Pets in Supporting Cognitive-Behavioral Chronic Pain Self-Management: Perspectives of Older Adults.

Cognitive-behavioral self-management strategies are recommended for older adults with chronic pain. The goal of this study was to explore how pet ownership promotes use of these strategies in everyday life. We conducted four focus groups (N = 25) with dog and cat owners aged ≥70 years with persistent pain. Participants described how their pets affect their daily routines and health, including pain and its management. We analyzed transcripts for salient themes, categorizing them according to their alignment with recommended pain self-management strategies: Mood Management (e.g., increases positive affect), Relaxation/Distraction (e.g., soothing presence), Physical Activity (e.g., dog-walking), Behavioral Activation (e.g., motivates activity even when pain present), Social Activation (e.g., facilitates socializing), and Sleep (e.g., encourages routine). Some participants described negative impacts of pet ownership. Having pets can facilitate behaviors and thoughts that may enhance coping with pain. Testing formal ways of leveraging pets' role may expand nonpharmacological options for chronic pain management.

Acceptability and Effects of Commercially Available Activity Trackers for Chronic Pain Management Among Older African American Adults.

BACKGROUND: Wearable activity trackers may facilitate walking for chronic pain management. OBJECTIVE: We assessed the acceptability of a commercially available tracker and three alternative modes of reporting daily steps among older adults in a low-income, urban community. We examined whether using the tracker (Fitbit ZipTM) was associated with improvements in functioning and activity. DESIGN: Randomized controlled pilot and feasibility trial. SUBJECTS: Fifty-one African American adults in Detroit, Michigan, aged 60 to 85 years, with chronic musculoskeletal pain (28 in the intervention group, 23 controls). METHODS: Participants completed telephone surveys at baseline and eight weeks. Intervention participants wore trackers for six weeks, alternately reporting daily step counts via text messages, automated telephone calls, and syncing (two weeks each). We used multimethods to assess satisfaction with trackers and reporting modalities. Adherence was indicated by the proportion of expected days on which valid step counts were reported. We assessed changes in pain interference, physical function, social participation, walking frequency, and walking duration. RESULTS: More than 90% of participants rated trackers as easy to use, but some had technical or dexterity-related difficulties. Text reporting yielded 79% reporting adherence vs 69% each for automated calls and syncing. Intervention participants did not show greater improvement in functioning or walking than controls. CONCLUSIONS: With appropriate support, wearable activity trackers and mHealth reporting for chronic pain self-care are feasible for use by vulnerable older adults. Future research should test whether the effects of trackers on pain-related outcomes can be enhanced by incorporating behavior change strategies and training in evidence-based cognitive-behavioral techniques.

Functional support and burden among out-of-home supporters of heart failure patients with and without depression.

OBJECTIVE: Over 20% of patients with heart failure (HF) experience clinical depression, which is associated with higher rates of mortality, morbidity, and hospitalization. Support from family members or friends (whom we refer to as care partners [CPs]) can lower the risk of these outcomes. We examined whether HF patients with depression received assistance from CPs living outside of their homes. Further, we examined whether patient depression was associated with support-related strain among out-of-home CPs. METHOD: We analyzed baseline survey data from 348 HF patients with reduced ejection fraction and their CPs. Patients with scores on the Center for Epidemiological Studies Depression Scale-10 (Kohout, Berkman, Evans, & Cornoni-Huntley, 1993) of ≥10 were classified as having clinically significant depressive symptoms (i.e., depression). Outcomes included CP-reported hr per week helping with health care and talking with patients via telephone and scores on the Modified Caregiver Strain Index. Negative binomial regression models examined differences in the amount of in-person and telephone support for patients with and without depression, controlling for patients' comorbidities, living alone, CP geographic distance, and CP emotional closeness to the patient. RESULTS: CPs provided more in-person support to HF patients with depression (M = 3.64 hr) compared with those without depression (M = 2.60 hr per week, incident rate ratio [IRR] = 1.40, p = .019). CPs provided more telephone support to patients with depression (M = 3.02 hr) compared with those without depression (M = 2.09 hr per week, IRR = 1.42, p < .001). Patient depression had no effect on caregiver burden (IRR = 1.00, p = .843). CONCLUSION: Patients with clinically significant depressive symptoms receive more in-person assistance and telephonic support from CPs. Despite that additional contact, caregiver burden was not greater among the supporters of depressed patients. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Comparison of Recruitment Strategies for Engaging Older Minority Adults: Results From Take Heart.

BACKGROUND: Few published studies report lessons learned for recruiting older adults from racial/ethnic minority, low SES communities for behavioral interventions. In this article, we describe recruitment processes and results for Take Heart, a randomized controlled trial testing the effectiveness of an adapted heart disease self-management program for primarily African American, urban, low SES adults 50 years or older living in Detroit. METHODS: Older adults were recruited via community-based (CB), electronic medical record (EMR), and in-person hospital clinic (HC) methods. Recruitment processes, demographic characteristics of enrolled participants, yield and cost, lessons learned, and best practices for each method are described. RESULTS: Within 22 months, 1,478 potential participants were identified, 1,223 were contacted and 453 enrolled, resulting in an overall recruitment yield of 37%. The CB method had the highest yield at 49%, followed by HC at 36% and EMR at 16%. Of six CB approaches, information sessions and flyers had the highest yields at 60% and 59%, respectively. The average cost of recruiting and enrolling one participant was $142. CONCLUSIONS: CB, EMR, and HC methods each made important contributions to reaching our recruitment goal. The CB method resulted in the highest recruitment yield, while EMR had the lowest. Face-to-face interaction with community members and hiring a community health worker were particularly useful in engaging this population. Further research is needed to confirm these findings in urban, minority, low SES populations of older adults.