Methodological approaches in developing and implementing digital health interventions amongst underserved women.

BACKGROUND: Minority populations are utilizing mobile health applications more frequently to access health information. One group that may benefit from using mHealth technology is underserved women, specifically those on community supervision. OBJECTIVE: Discuss methodological approaches for navigating digital health strategies to address underserved women's health disparities. DESCRIPTION OF THE INNOVATIVE METHOD: Using an intersectional lens, we identified strategies for conducting research using digital health technology and artificial intelligence amongst the underserved, particularly those with community supervision. DESCRIPTION OF ITS EFFECTIVENESS: We explore (1) methodological approaches that combine traditional research methods with precision medicine, digital phenotyping, and ecological momentary assessment; (2) implications for artificial intelligence; and (3) ethical considerations with data collection, storage, and engagement. DISCUSSION: Researchers must address gendered differences related to health, social, and economic disparities concurrently with an unwavering focus on the protection of human subjects when addressing the unique needs of underserved women while utilizing digital health methodologies. PUBLIC CONTRIBUTION: Women on community supervision in South Central Texas helped inform the design of JUN, the mHealth app we reported in the case exemplar. JUN is named after the Junonia shell, a native shell to South Texas, which means strength, power, and self-sufficiency, like the participants in our preliminary studies.

A quantitative study to assess cardiovascular risks among older African American women living in rural black belt areas of Alabama.

Limited information is available regarding the knowledge of Cardiovascular Disease (CVD) risk factors and the actual risk behaviors among African American (AA) older women living in rural areas of Alabama. A pilot study of needs assessment for CVD prevention behaviors was conducted to collect such data from rural AA women. This paper reports the quantitative part of the needs assessment of this pilot study. We recruited participants (N = 30) using convenience sampling. Data collection measures included: i) American Heart Association's CVD-related knowledge questionnaire, ii) Five Times Sit to Stand Test to measure dynamic balance and iii) Six minute walk test (6MWT) to assess exercise endurance iv) standard weighing scale to measure body weight and v) standard measurements scale to measure height.  Descriptive and inferential statistics were used to analyze the data. The majority (76%) of participants had hypertension (70%), diabetes (60%), poor balance (70%), and low exercise endurance (100%). Most of the participants had low knowledge related to CVD risk factors. This study demonstrated the need to conduct a large-scale study to assess knowledge related to heart health and the actual needs and preferences of these individuals. Conducting such a study would lay the foundation for developing a need-based program for these underserved individuals while incorporating their preferences and the strategies that would help engage them in a heart health intervention.

Leveraging digital health technologies in heart failure self-care interventions to improve health equity.

For patients with heart failure, self-care is crucial, but recommendations for self-care are often not adhered to. Digital health interventions have the potential to help patients improve their self-care and, ultimately, their health outcomes, but without careful examination, digital interventions may generate further inequality. In this study, we use a digital health equity framework to examine challenges and opportunities related to digital health interventions across many domains of influence that may affect health equity. We draw from our own experience in conducting a decentralized clinical trial with multiple sensors and apps to help patients with heart failure improve adherence to key self-care behaviors. Finally, we provide recommendations for leveraging digital health interventions in research and practice to address health equity.

Social marketing and the challenges of participant recruitment.

Recruitment of research participants often has not obtained a desired sample size, thereby becoming a major problem inhibiting investigators' ability to adequately test the specified hypotheses. Social marketing with its four Ps, originally developed by the business world to sell products and adapted for public health initiatives, is proposed as a dynamic comprehensive conceptual framework to apply marketing principles and practices to enhance participant recruitment. Applying a social marketing approach to research recruitment would require initial investigation to understand the motivations of the target audience in regard to research participation, and continued research throughout the main project to adapt the recruitment efforts as limitations arise. Additional funding would be needed for successful social marketing research recruitment programs to be systematically implemented and evaluated as part of research projects. In this paper, we define social marketing concepts, briefly review the available literature supporting social marketing applied to recruitment for research studies, and consider ethical issues that may arise when using a social marketing approach.

Recruitment for research projects has been challenging, putting studies at risk of not being able to adequately test a priori hypotheses. Social marketing, an adaptation of traditional marketing principles and practices, may provide a solution. Marketing was developed to sell commercial products to consumers, and the strategies and practices therein could be applied to selling participation in the "intervention" (the health program) to "end users" (participants). The four Ps, product, price, place, and promotion, are the conceptual elements considered in a marketing plan. Applying a social marketing approach to recruitment for research projects has been demonstrated to be successful in a small number of cases. Implementing this approach would require preimplementation research to specify the key characteristics of the target audience; continuous monitoring of recruitment success during the research to assess changes in strategies, as needed; and enhanced funding to accommodate the additional research within an expanded early project time frame.

Sensor-Controlled Digital Game for Heart Failure Self-management: Protocol for a Randomized Controlled Trial.

BACKGROUND: Heart failure (HF) is the leading cause of hospitalization among older adults in the United States. There are substantial racial and geographic disparities in HF outcomes, with patients living in southern US states having a mortality rate 69% higher than the national average. Self-management behaviors, particularly daily weight monitoring and physical activity, are extremely important in improving HF outcomes; however, patients typically have particularly low adherence to these behaviors. With the rise of digital technologies to improve health outcomes and motivate health behaviors, sensor-controlled digital games (SCDGs) have become a promising approach. SCDGs, which leverage sensor-connected technologies, offer the benefits of being portable and scalable and allowing for continuous observation and motivation of health behaviors in their real-world contexts. They are also becoming increasingly popular among older adults and offer an immersive and accessible way to measure self-management behaviors and improve adherence. No SCDGs have been designed for older adults or evaluated to test their outcomes. OBJECTIVE: This randomized clinical trial aims to assess the efficacy of a SCDG in integrating the behavioral data of participants with HF from weight scale and activity tracker sensors to activate game progress, rewards, and feedback and, ultimately, to improve adherence to important self-management behaviors. METHODS: A total of 200 participants with HF, aged ≥45 years, will be recruited and randomized into 2 groups: the SCDG playing group (intervention group) and sensor-only group (control group). Both groups will receive a weight scale, physical activity tracker, and accompanying app, whereas only the intervention group will play the SCDG. This design, thereby, assesses the contributions of the game. All participants will complete a baseline survey as well as posttests at 6 and 12 weeks to assess the immediate effect of the intervention. They will also complete a third posttest at 24 weeks to assess the maintenance of behavioral changes. Efficacy and benefits will be assessed by measuring improvements in HF-related proximal outcomes (self-management behaviors of daily weight monitoring and physical activity) and distal outcomes (HF hospitalization, quality of life, and functional status) between baseline and weeks 6, 12, and 24. The primary outcome measured will be days with weight monitoring, for which this design provides at least 80% power to detect differences between the 2 groups. RESULTS: Recruitment began in the fall of 2022, and the first patient was enrolled in the study on November 7, 2022. Recruitment of the last participant is expected in quarter 1 of 2025. Publication of complete results and data from this study is expected in 2026. CONCLUSIONS: This project will generate insight and guidance for scalable and easy-to-use digital gaming solutions to motivate persistent adherence to HF self-management behaviors and improve health outcomes among individuals with HF. TRIAL REGISTRATION: ClinicalTrials.gov NCT05056129; https://clinicaltrials.gov/ct2/show/NCT05056129. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45801.

Association of Religious Service Attendance and Neuropsychiatric Symptoms, Cognitive Function, and Sleep Disturbances in All-Cause Dementia.

Commonly reported in dementia, neuropsychiatric symptoms (NPS), cognitive decline, and sleep disturbances indicate dementia progression. With the growing dementia burden, identifying protective factors that may slow dementia progression is increasingly essential. Religion and spirituality are associated with better mental and physical health, yet few studies have been reported in older adults with dementia. This study examines associations between religious service attendance and symptoms of dementia progression. Using data from the Health and Retirement Study in 2000, 2006, and 2008 and the sub-study, Aging, Demographics, and Memory Study in 2001-2003, 2006-2007, and 2008-2009, we examined the association of religious attendance with neuropsychiatric symptoms, cognitive function, and sleep disturbances among U.S. older adults aged 70 years and older with all-cause dementia (N = 72) using Spearman's partial Rho correlation controlling for social interaction. Significant associations were identified for religious attendance and NPS (rs (97) = -0.124, 95% CI [-0.129, -0.119], p < 0.0005); cognitive function, rs (97) = -0.018, 95% CI [-0.023, -0.013], p < 0.001); and sleep disturbances, rs (97) = -0.275, 95% CI [-0.280, -0.271], p < 0.0005). Beyond adjusting for social interaction, increased religious attendance was associated with lower NPS, better cognitive function, and fewer sleep disturbances. Clinical trials and longitudinal studies with a larger sample size examining religion and spirituality factors with dementia progression are warranted.

Religion, Spirituality, and Coping During the Pandemic: Perspectives of Dementia Caregivers.

Religious and spiritual (R/S) practices support individuals during difficult situations. The COVID-19 social distancing restrictions may have limited access to R/S practices for older adults with Alzheimer's disease related dementia (ADRD) and their caregivers, affecting coping and well-being. This qualitative study explored the impact of social distancing on R/S practices and coping in ADRD-caregiver dyads from the perspective of caregivers. Interviews were conducted with 11 family caregivers of older adults with ADRD residing in nursing homes (n = 4) or private homes (n = 7). Caregivers continued individual and started virtual R/S practices which improved their ability to cope. However, organized R/S practices were unavailable for those with ADRD, but they used prayer and read religious texts which noticeably improved their mood. Healthcare professionals' sharing of individual and community R/S resources available for ADRD-caregiver dyads could decrease anxiety and agitation, while improving their ability to cope with increased isolation.

Measures of religion and spirituality in dementia: An integrative review.

Introduction: Literature on the association of religion and spirituality (R/S) and health is growing. However, it is unclear how R/S affects outcomes and is assessed in persons with dementia (PWDs). In this integrative review, we evaluate published R/S measures and synthesize R/S findings for PWDs. Methods: We searched five databases (ATLA Religion, CINAHL, PsychInfo, PubMed, SocIndex) and identified 14 of 1043 studies for review. We assess the studies' information, quality, measures, and results. Results: We identified 17 measures for R/S: six were adapted for use with PWDs and only two were validated for PWDs; most studies reported only measures' reliability, with Cronbach's alpha. The studies' findings support significant positive associations between R/S and cognitive function and negative associations between R/S and depression and behavioral expressions. Discussion: The two validated scales indicated acceptable validity with overall good reliability. Nevertheless, diverse samples and rigorous study designs are needed to improve R/S measures and to examine associations over time for PWDs. Highlights: Few scales for measuring religion and spirituality (R/S) have been validated in persons with dementia (PWD); additional testing is needed.Most R/S measures only reported scale reliability with Cronbach's alpha.Studies supported positive associations between R/S and health yet few studies exist. conducted.Only one spiritual intervention, spiritual reminiscence, was found for PWD.More rigorous R/S studies are needed to examine health outcomes in dementia.

"Please Don't Forget Us": A Descriptive Qualitative Study of Caregivers of Older Adults With Alzheimer's Disease and Related Dementias During the COVID-19 Pandemic.

The current descriptive qualitative study explored the perceived impact of the coronavirus disease 2019 pandemic on sleep disturbances and nighttime agitation; the reported use of antipsychotics and other sedating medications; and the overall well-being of older adults with Alzheimer's disease and related dementias (ADRD) and their caregivers. One investigator conducted in-depth, phone interviews with caregivers of nursing home residents with ADRD (four family caregivers [FCs], three nurse practitioners [NPs]) and seven FCs of older adults with ADRD who lived with them at home. Caregivers described multiple sleep disturbances. Nighttime agitation symptoms were perceived to continue or worsen, and sedating medications and nonpharmacological interventions were required. Adverse impacts on reported well-being were significant, and impacts were grouped into emotional, social, and physical themes. Caregivers said, "Please don't forget us," and requested telehealth support for those at home and technology and human resources for nursing homes to reduce adverse impacts. [Research in Gerontological Nursing, 15(5), 217-228.].

Redesigning culturally tailored intervention in the precision health era: Self-management science context.

BACKGROUND: Nurse scientists have significantly contributed to health equity and ensuring cultural tailoring of interventions to meet unique needs of individuals. Methodologies for cultural tailoring of self-mangament interventions among marginalized populations have limitedly accommodated intersectionality and group heterogeneity when addressing health needs. PURPOSE: Identify methodological limitations in cultural tailoring of interventions among priority populations and issue recommendations on cultural elements that researchers can target to ensure valid cultural tailoring approaches. METHODS: Synthesis of literature on health equity, self-management, and implementation and dissemination research. FINDINGS: Among priority populations, intersectionality and group heterogeneity has made group-based cultural tailoring approaches less effective in eliciting desirable health outcomes. Precision health methodology could be useful for cultural tailoring of interventions due to the methodology's focus on individual-level tailoring approaches. DISCUSSION: We offer ways to advance health equity research using precision health approaches in cultural tailoring through targeting unique elements of culture and relevant psychosocial phenotypes.

Older Adults with Dementia: Association of Prayer with Neuropsychiatric Symptoms, Cognitive Function, and Sleep Disturbances.

Protective factors that slow dementia progression and improve quality of life are needed. Neuropsychiatric symptoms (NPS), cognitive decline, and sleep disturbances are commonly found in dementia, indicate progression, and increase caregiver distress. The purpose of this study was to examine the association of private prayer with NPS, cognitive function, and sleep disturbances in older adults with dementia. We analyzed data from the Health and Retirement Study in 2000, 2006, and 2008 and Aging, Demographics, and Memory Sub study in 2001-2003, 2006-2007, and 2008-2009 among 40 older adults (age 70-100 years, mean age = 84.67, 29 females and 11 males, 73.9% non-Hispanic White, and 19.2% Non-Hispanic Black, and 3% Hispanic, cognitive function = 1.169 indicating mild cognitive impairment) using correlational analysis. The results indicated that increased frequency of private prayer was significantly associated with lower NPS, better cognitive function, and lower sleep disturbances. In total, 100% of Non-Hispanic Black and Hispanic participants reported praying at least once per week. Findings could be due to use of cognitive processes used in prayer during supplication, requesting aid, and through communication with the divine, reducing loneliness. Longitudinal studies including historically underrepresented populations are needed to examine these associations over time.

A Sensor-Controlled Digital Game for Heart Failure Self-Care Based on Behavioral Change Frameworks.

Self-care behaviors are critical to manage the adverse impact of heart failure disease. However, engaging in self-care behaviors such as physical activity or daily weight-monitoring can be difficult due to lack of knowledge or motivation. Digital games can serve as an alternative to traditional patient education to provide information and motivate engagement in critical self-care behaviors. In this paper, we describe a sensor-controlled digital game (SCDG) in which game play is driven by the player's real life self-care behaviors. We also present the design and development of the next iteration of the SCDG based on playtesting results and behavioral theoretical frameworks.

Barriers to and Facilitators of Mental Health Help-Seeking Behaviors Among South Asian American College Students.

Despite the increasing size of the South Asian population in the United States, research on the mental health care wants and needs of this population is limited. The current study aimed to provide a better understanding of South Asian American college students' attitudes and behaviors with respect to professional help for psychological and mental health. Participants included 14 college students at a large central Texas university, aged at least 18 years and fluent in English, who identified ethnically as South Asian. Qualitative interviews held with participants included demographic questions. Five themes emerged from the interviews: Family Dynamics, Environment, University Resources, Access to Help, and Cultural Dynamics. High levels of mental illness, low levels of help-seeking, and unique identity interactions demonstrated a prevailing need for mental health support in South Asian American college students. Accessible mental health care in university settings can be a step toward providing appropriate mental health care for South Asian students most in need. [Journal of Psychosocial Nursing and Mental Health Services, 60(7), 32-38.].

Cervical Cancer Screening Behaviors Among Asian Indians in the United States: A Systematic Review.

While Asian Indians (AIs) are the third fastest-growing Asian minority population in the United States, they fall short of the Healthy People cervical cancer screening target goals, with rates averaging 70% compared to 83% among non-Hispanic Whites. The purpose of this systematic review is to examine factors influencing cervical cancer screening behaviors among AIs in the US. Medline, CINAHL, PubMed, PsychINFO, and ProQuest databases were searched for qualitative and quantitative studies conducted between 1990 and 2017 that focused on cervical cancer screening behaviors among AIs in the US. The seven selected quantitative cross-sectional descriptive studies show that acculturation, length of stay in the US, age, education level, employment, cultural beliefs, and language influence cervical cancer screening behaviors among AIs in the US. Results from this systematic review inform development of culturally sensitive interventions to raise awareness and engagement in cervical cancer screening among AIs.

Patterns and Correlates of Physical Symptoms among People with Peripheral Neuropathy.

Background: As the population ages and more people are affected by multiple chronic conditions, the prevalence of Peripheral Neuropathy (PN) has also rapidly increased. This swift rise in PN leaves clinicians and patients challenged by a lack of consistent diagnosis and treatment guidelines. Purpose: To assist those affected by PN, it is imperative to understand the breadth of symptoms, experiences, and factors related to the quality of life. The primary aims of this study are to (1) characterize the symptoms of PN in a nationwide sample; (2) discern differences in symptom clusters, given perceived causes of PN; and (3) identify significant physiological symptoms related to the quality of life for people with PN. Methods: An online survey of people in online PN support groups. Participants were recruited primarily via an open request sent to recipients of web-based communications from nationally recognized online PN support groups. Inclusion criteria were as follows: Self-reported diagnosis of PN, ability to read English or Spanish, residence in the U.S., and age ≥ 18 years. Results: A total of 608 individuals with PN were included in the analysis. This sample represents 49 U.S. states and the District of Colombia; 221 were male and 387 female. Their disease severity and etiology were similar to previously reported information on this population, with 53.3% of respondents suffering from PN without a known cause. Among known causes, diabetes was the most common (19.6%), followed by chemotherapy (6.9%) and autoimmune diseases (3.6%). Factors affecting the quality of life among people with PN included lower extremity mobility, upper extremity mobility, sleep disturbance, depressive symptoms, and patient activation.

Feasibility of a Sensor-Controlled Digital Game for Heart Failure Self-management: Randomized Controlled Trial.

BACKGROUND: Poor self-management of heart failure (HF) contributes to devastating health consequences. Our innovative sensor-controlled digital game (SCDG) integrates data from sensors to trigger game rewards, progress, and feedback based on the real-time behaviors of individuals with HF. OBJECTIVE: The aim of this study is to compare daily weight monitoring and physical activity behavior adherence by older adults using an SCDG intervention versus a sensors-only intervention in a feasibility randomized controlled trial. METHODS: English-speaking adults with HF aged 55 years or older who owned a smartphone and could walk unassisted were recruited from Texas and Oklahoma from November 2019 to August 2020. Both groups were given activity trackers and smart weighing scales to track behaviors for 12 weeks. The feasibility outcomes of recruitment, retention, intervention engagement, and satisfaction were assessed. In addition to daily weight monitoring and physical activity adherence, the participants' knowledge, functional status, quality of life, self-reported HF behaviors, motivation to engage in behaviors, and HF-related hospitalization were also compared between the groups at baseline and at 6, 12, and 24 weeks. RESULTS: A total of 38 participants with HF-intervention group (IG; 19/38, 50%) and control group (CG; 19/38, 50%)-were enrolled in the study. Of the 38 participants, 18 (47%) were women, 18 (47%) were aged 65 years or older, 21 (55%) had been hospitalized with HF in the past 6 months, and 29 (76%) were White. Furthermore, of these 38 participants, 31 (82%)-IG (15/19, 79%) and CG (16/19, 84%)-had both weight monitoring and physical activity data at the end of 12 weeks, and 27 (71%)-IG (14/19, 74%) and CG (13/19, 68%)-participated in follow-up assessments at 24 weeks. For the IG participants who installed the SCDG app (15/19, 79%), the number of days each player opened the game app was strongly associated with the number of days the player engaged in weight monitoring (r=0.72; P=.04) and the number of days with physical activity step data (r=0.9; P<.001). The IG participants who completed the satisfaction survey (13/19, 68%) reported that the SCDG was easy to use. Trends of improvement in daily weight monitoring and physical activity in the IG, as well as within-group improvements in HF functional status, quality of life, knowledge, self-efficacy, and HF hospitalization in both groups, were observed in this feasibility trial. CONCLUSIONS: Playing an SCDG on smartphones was feasible and acceptable for older adults with HF for motivating daily weight monitoring and physical activity. A larger efficacy trial of the SCDG intervention will be needed to validate trends of improvement in daily weight monitoring and physical activity behaviors. TRIAL REGISTRATION: ClinicalTrials.gov NCT03947983; https://clinicaltrials.gov/ct2/show/NCT03947983.

Psychosocial phenotyping as a personalization strategy for chronic disease self-management interventions.

BACKGROUND: As the U.S. population grows older and more diverse, self-management needs are increasingly complicated. In order to deliver effective personalized interventions to those suffer from chronic conditions social determinants of health must be considered. Therefore, psychosocial phenotyping holds strong promise as a tool for tailoring interventions based on precision health principles. PURPOSE: To define psychosocial phenotyping and develop a research agenda that promotes its integration into chronic disease management as a tool for precision self-management interventions. METHODS: Since psychosocial phenotyping is not yet used in interventions for self-management support, we conducted a literature review to identify potential phenotypes for chronic disease self-management. We also reviewed policy intervention case reports from the Centers for Medicare and Medicaid Services to examine factors related to social determinants of health in people with chronic illnesses. Finally, we reviewed methodological approaches for identifying patient profiles or phenotypes. RESULTS: The literature review revealed areas within which to collect data for psychosocial phenotyping that can inform personalized interventions. The findings of our exemplar cases revealed that several environmental or key SDOH such as factors realted with economic stability and neighborhood environment have been closely linked with the success of chronic disease management interventions. We elucidated theory, definitions, and pragmatic conceptual boundaries related to psychosocial phenotyping for precision health. CONCLUSIONS: Our literature review with case example analysis demonstrates the potential usefulness of psychosocial phenotyping as a tool to enhance personalized self-management interventions for people with chronic diseases, with implications for future research.

Impact of COVID-19 on Heart Failure Self-Care: A Qualitative Study.

BACKGROUND: Difficulties in coping with and self-managing heart failure (HF) are well known. The COVID-19 pandemic may further complicate self-care practices associated with HF. OBJECTIVE: The aim of this study was to understand COVID-19's impact on HF self-care, as well as related coping adaptations that may blunt the impact of COVID-19 on HF health outcomes. METHODS: A qualitative study using phone interviews, guided by the framework of vulnerability analysis for sustainability, was used to explore HF self-care among older adults in central Texas during the late spring of 2020. Qualitative data were analyzed using directed content analysis. RESULTS: Seventeen older adults with HF participated (mean [SD] age, 68 [9.1] years; 62% female, 68% White, 40% below poverty line, 35% from rural areas). Overall, the COVID-19 pandemic had an adverse impact on the HF self-care behavior of physical activity. Themes of social isolation, financial concerns, and disruptions in access to medications and food indicated exposure, and rural residence and source of income increased sensitivity, whereas adaptations by healthcare system, health-promoting activities, socializing via technology, and spiritual connections increased resilience to the COVID-19 pandemic. CONCLUSIONS: The study's findings have implications for identifying vulnerabilities in sustaining HF self-care by older adults and empowering older adults with coping strategies to improve overall satisfaction with care and quality of life.

Lessons learned from eight teams: The value of pilot and feasibility studies in self-management science.

Designing and conducting effective intervention research is an important domain of nursing science. Nurse scientists have long recognized people with chronic conditions need effective self-management strategies across the lifespan, so they have led the way in establishing theoretical and practical grounds for the science of self-management. Guidance from pilot and feasibility research for self-management interventions is scarce. Documented exemplars of successes and failures in pilot and feasibility study designs are scant in the literature. The purpose of this paper is to illustrate methodological approaches using pilot and feasibility examples. To maximize collective lessons learned in self-management science study design, features of our pilot and feasibility research strategies that yielded both desirable and undesirable outcomes are described, analyzed, and paired with alternative solutions. A National Institute of Nursing Research P30 grant center, awarded grants to 8 pilot investigators to pilot self-management interventions. A wide variety of chronic conditions were addressed, including heart failure, chronic kidney disease, multiple sclerosis, diabetes, and HIV. The investigators provided their experiences of study implementation. Common themes across the studies were identified. There were four lessons learned from these studies: 1) maximize resources and develop enough evidence for subsequent studies; 2) embed patient-centered feasibility within implementation testing with new patient populations; 3) develop a flexible participant recruitment plan to allow for adjustments when unexpected barriers arise; and 4) define study-specific data collection procedures to demonstrate feasibility. Researchers conducting preliminary small-scale self-management intervention research must balance resources to develop and implement interventions to meet pilot and feasibility objectives.

Self-Regulation Strategies Among Community-Dwelling People Aging With Arthritis and Multimorbidity.

Self-regulation strategies of selection, optimization, and compensation (SR-SOC) have been found to predict arthritis self-efficacy and quality of life among community-dwelling people aging with arthritis and multimorbidity. The current study aimed to describe the health resources and chronic disabling symptom characteristics of community-dwelling people aging with arthritis and multimorbidity and investigate how these characteristics influence and predict SR-SOC strategies in managing arthritis multimorbidity after controlling for demographics and comorbidities. One hundred forty individuals aged >50 years completed surveys on demographics, comorbidities, health resources, symptoms, and SR-SOC strategy use frequencies. Descriptive statistics were used to describe sample characteristics. Correlations and multivariate hierarchical stepwise regressions were used to examine the associated characteristics and predictors for SR-SOC strategy use frequency. Lower health literacy, health care provider communication quality, and smaller social network were reported less often than arthritis in general. Significant predictors of SR-SOC strategy use were physical symptoms, health care provider communication quality, and age (p < 0.05). Better symptom management and health care provider communication quality could help promote self-regulation. [Journal of Gerontological Nursing, 47(1), 35-45.].