scholarly journals Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study (Preprint)

2018 ◽  
Author(s):  
Heejung Kim ◽  
Eunhee Park ◽  
Sangeun Lee ◽  
Mijung Kim ◽  
Eun Jeong Park ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Chronic Diseases ◽  
Phase 1 ◽  
Self Management ◽  
Phase 3 ◽  
Elderly Individuals ◽  
Mhealth Apps ◽  
Mobile Tablets ◽  
Training Protocol

BACKGROUND Most training programs for self-management of chronic diseases in Korea currently involve face-to-face interactions primarily in a health care setting. Therefore, older Koreans living in the community continue to seek other training opportunities for the management of chronic diseases. This has led to the development of new training methods, such as mobile health (mHealth) care, which are valuable in community centers and homes. OBJECTIVE This feasibility study (1) developed an mHealth training protocol to empower community-dwelling elderly individuals to manage their chronic diseases; (2) examined the feasibility of delivering this mHealth training protocol to elderly individuals through mobile tablets and applications (apps); and (3) discussed the contextual and methodological challenges associated with the development of this protocol. METHODS The mHealth training protocol was developed based on the eHealth Enhanced Chronic Care Model and comprised of four phases. Phase 1 included standardized technology (mobile tablets) training using guidebooks, demonstrations, and guided practice. Phase 2 included provision of standardized information about disease management that was obtained from governmental and professional health care organizations. Phase 3 included provision of training on the use of high-quality mHealth apps that were selected based on individual diagnoses. Phase 4 included encouraging the patients to practice using self-selected mHealth apps based on their individual needs. Quantitative descriptive statistics and qualitative content analyses of user evaluations were used to assess the feasibility and user acceptance of this protocol. RESULTS Of the 27 older adults included in this study, 25 completed all 4 weeks of the mHealth training. The attrition rate was 7% (2/27), and the reasons included time conflicts, emotional distress, and/or family discouragement. The men required little or no training for Phase 1, and in comparison with men, women seemed to depend more on the mHealth trainers in Phase 3. Gender, level of education, and previous experience of using smartphones were associated with the speed of learning, level of confidence, and overall competence. CONCLUSIONS A tailored and personalized approach is required to develop mHealth training protocols for older adults. Self-management of chronic diseases via mHealth training requires careful consideration of the complex nature of human behavior, emotional responses, and familial influences. Therefore, integration of a theoretical, clinical, and technical approach is necessary for the successful development and implementation of an mHealth training program that targets older adults with chronic diseases in a community setting.

Managing Heart Failure On the Go: Usability Issues with mHealth Apps for Older Adults

2017 ◽  
Vol 61 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Stephanie A. Morey ◽  
Laura H. Barg-Walkow ◽  
Wendy A. Rogers
Keyword(s):  
Heart Failure ◽  
Older Adults ◽  
Congestive Heart Failure ◽  
Human Factors ◽  
Mobile Apps ◽  
Phase 1 ◽  
Data Entry ◽  
Health Conditions ◽  
Phase 3 ◽  
Mhealth Apps

Mobile apps for self-managing chronic health conditions are widely available for download from online app stores. Mobile health (mHealth) apps provide a convenient way of managing health conditions (e.g., congestive heart failure); however, little is known about their design specifications with respect to older adult users. We conducted a 3-phase assessment of human factors issues for common mHealth apps designed for managing congestive heart failure. In Phase 1, we identified two apps often used by older adults. In Phase 2, we evaluated these apps according to standard human factors principles. In Phase 3, we conducted usability testing of the apps with six older adults. We report design issues identified in the apps that limit usability by older adults. We encourage mHealth app designers to improve usability by: 1) providing easier navigation, 2) streamlining data entry processes, 3) providing clear recovery from errors, and 4) simplifying visualizations of data patterns.

scholarly journals Impact of a Wearable Device-Based Walking Programs in Rural Older Adults on Physical Activity and Health Outcomes: Cohort Study (Preprint)

2018 ◽  
Author(s):  
Il-Young Jang ◽  
Hae Reong Kim ◽  
Eunju Lee ◽  
Hee-Won Jung ◽  
Hyelim Park ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Health Care ◽  
Health Outcomes ◽  
Rural Areas ◽  
Wearable Devices ◽  
Community Dwelling ◽  
Wearable Device ◽  
Self Management ◽  
Community Dwelling Older Adults

BACKGROUND Community-dwelling older adults living in rural areas are in a less favorable environment for health care compared with urban older adults. We believe that intermittent coaching through wearable devices can help optimize health care for older adults in medically limited environments. OBJECTIVE We aimed to evaluate whether a wearable device and mobile-based intermittent coaching or self-management could increase physical activity and health outcomes of small groups of older adults in rural areas. METHODS To address the above evaluation goal, we carried out the “Smart Walk” program, a health care model wherein a wearable device is used to promote self-exercise particularly among community-dwelling older adults managed by a community health center. We randomly selected older adults who had enrolled in a population-based, prospective cohort study of aging, the Aging Study of Pyeongchang Rural Area. The “Smart Walk” program was a 13-month program conducted from March 2017 to March 2018 and included 6 months of coaching, 1 month of rest, and 6 months of self-management. We evaluated differences in physical activity and health outcomes according to frailty status and conducted pre- and postanalyses of the Smart Walk program. We also performed intergroup analysis according to adherence of wearable devices. RESULTS We recruited 22 participants (11 robust and 11 prefrail older adults). The two groups were similar in most of the variables, except for age, frailty index, and Short Physical Performance Battery score associated with frailty criteria. After a 6-month coaching program, the prefrail group showed significant improvement in usual gait speed (mean 0.73 [SD 0.11] vs mean 0.96 [SD 0.27], P=.02), International Physical Activity Questionnaire scores in kcal (mean 2790.36 [SD 2224.62] vs mean 7589.72 [SD 4452.52], P=.01), and European Quality of Life-5 Dimensions score (mean 0.84 [SD 0.07] vs mean 0.90 [SD 0.07], P=.02), although no significant improvement was found in the robust group. The average total step count was significantly different and was approximately four times higher in the coaching period than in the self-management period (5,584,295.83 vs 1,289,084.66, P<.001). We found that participants in the “long-self” group who used the wearable device for the longest time showed increased body weight and body mass index by mean 0.65 (SD 1.317) and mean 0.097 (SD 0.513), respectively, compared with the other groups. CONCLUSIONS Our “Smart Walk” program improved physical fitness, anthropometric measurements, and geriatric assessment categories in a small group of older adults in rural areas with limited resources for monitoring. Further validation through various rural public health centers and in a large number of rural older adults is required.

scholarly journals Building a Digital Bridge to Support Patient-Centered Care Transitions From Hospital to Home for Older Adults With Complex Care Needs: Protocol for a Co-Design, Implementation, and Evaluation Study (Preprint)

2020 ◽  
Author(s):  
Carolyn Steele Gray ◽  
Terence Tang ◽  
Alana Armas ◽  
Mira Backo-Shannon ◽  
Sarah Harvey ◽  
...  
Keyword(s):  
Older Adults ◽  
Phase 1 ◽  
Care Transitions ◽  
Self Management ◽  
Complex Care ◽  
Phase 2 ◽  
Care Needs ◽  
Centered Care ◽  
Hospital To Home ◽  
Complex Care Needs

BACKGROUND Older adults with multimorbidity and complex care needs (CCN) are among those most likely to experience frequent care transitions between settings, particularly from hospital to home. Transition periods mark vulnerable moments in care for individuals with CCN. Poor communication and incomplete information transfer between clinicians and organizations involved in the transition from hospital to home can impede access to needed support and resources. Establishing digitally supported communication that enables person-centered care and supported self-management may offer significant advantages as we support older adults with CCN transitioning from hospital to home. OBJECTIVE This protocol outlines the plan for the development, implementation, and evaluation of a Digital Bridge co-designed to support person-centered health care transitions for older adults with CCN. The Digital Bridge builds on the foundation of two validated technologies: Care Connector, designed to improve interprofessional communication in hospital, and the electronic Patient-Reported Outcomes (ePRO) tool, designed to support goal-oriented care planning and self-management in primary care settings. This project poses three overarching research questions that focus on adapting the technology to local contexts, evaluating the impact of the Digital Bridge in relation to the quadruple aim, and exploring the potential to scale and spread the technology. METHODS The study includes two phases: workflow co-design (phase 1), followed by implementation and evaluation (phase 2). Phase 1 will include iterative co-design working groups with patients, caregivers, hospital providers, and primary care providers to develop a transition workflow that will leverage the use of Care Connector and ePRO to support communication through the transition process. Phase 2 will include implementation and evaluation of the Digital Bridge within two hospital systems in Ontario in acute and rehab settings (600 patients: 300 baseline and 300 implementation). The primary outcome measure for this study is the Care Transitions Measure–3 to assess transition quality. An embedded ethnography will be included to capture context and process data to inform the implementation assessment and development of a scale and spread strategy. An Integrated Knowledge Translation approach is taken to inform the study. An advisory group will be established to provide insight and feedback regarding the project design and implementation, leading the development of the project knowledge translation strategy and associated outputs. RESULTS This project is underway and expected to be complete by Spring 2024. CONCLUSIONS Given the real-world implementation of Digital Bridge, practice changes in the research sites and variable adherence to the implementation protocols are likely. Capturing and understanding these considerations through a mixed-methods approach will help identify the range of factors that may influence study results. Should a favorable evaluation suggest wide adoption of the proposed intervention, this project could lead to positive impact at patient, clinician, organizational, and health system levels. CLINICALTRIAL ClinicalTrials.gov NCT04287192; https://clinicaltrials.gov/ct2/show/NCT04287192 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/20220

scholarly journals A Usability and Feasibility Study: GENIE - An App Supporting Self-Management among Older Adults who are High Users of the Health Care System (Preprint)

2020 ◽  
Author(s):  
Ruta Valaitis ◽  
Laura Cleghorn ◽  
Ivaylo Vassilev ◽  
Anne Rogers ◽  
Jenny Ploeg ◽  
...  
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Health Care ◽  
Social Networks ◽  
Social Services ◽  
Health Care System ◽  
Self Management ◽  
Health And Social Services ◽  
Primary Care Clinicians ◽  
Care System

BACKGROUND Primary care providers have been tasked with fostering self-management through managing referrals and linking patients to community-based health and social services. This study evaluated a web-based tool –GENIE (Generating Engagement in Network InvolvEment)– as a component of the Health TAPESTRY program to support self-management of older adults who are high health care system users. GENIE aims to empower patients to leverage their personal social networks to access community services towards reaching their health goals. GENIE maps client’s personal networks, elicits preferences, and filters local health and social resources from a community service directory based on results of a questionnaire that explores client’s interests. In the Health TAPESTRY program, volunteers conducted home visits to gather health information on tablets and implemented the GENIE tool. A report was generated for the primary care team for follow up. OBJECTIVE This study examined the usability, feasibility, and perceived outcomes of the implementation of GENIE with older adults who were enrolled in Ontario’s Health Links Program, which coordinates care for the highest users of the health care system. METHODS This study involved two primary care clinician focus groups, one clinician interview, a volunteer focus group, client telephone interviews, field observations, and GENIE utilization statistics. RESULTS Eight patients, three volunteers, and 16 primary care clinicians participated. Patients were most interested in services that were health-related (exercise and socialization). Overall, participants perceived GENIE to be useful and easy to use, despite challenges related to email set up, disease terminology, instructions for personal network mapping, and clarity of questionnaire items. Volunteer facilitation was critical to support implementation of Genie. Tool completion averaged 39 minutes. Almost all patients identified a community program or activity of interest using GENIE. Half followed up on health and social services and added new members to their network over 6 months, while one participant lost a member. Clinicians had concerns about accuracy, suitability, and quantity of suggested programs and services generated from the tool and believed that they could better tailor choices for their patients highlighting the inherent tension between user-centred preferences focused on capabilities and bio-medical definitions of need shaping professional judgement. However, clinicians did note that GENIE strengthened their understanding of patients’ personal social networks. CONCLUSIONS This study demonstrated GENIE’s potential, facilitated by volunteers, to expand patients’ social networks and link them to relevant health and social services to support self-management. Volunteers require training to effectively implement GENIE for self-management support and can help overcome time limitations that primary care clinicians face. Refining the filtering capability of GENIE to allow for better tailoring of results to address the complex needs of those who are high system users may help to improve primary care provider’s confidence in such tools. CLINICALTRIAL Not applicable

scholarly journals Harnessing mHealth to improve the diabetes screening and diagnosis rate in rural Indian settings: a learning from health systems initiative

2019 ◽  
Vol 6 (5) ◽  
pp. 2041
Author(s):  
Akash Gajanan Prabhune ◽  
Aparna Manoharan ◽  
Murugan Arul
Keyword(s):  
Health Care ◽  
Blood Glucose ◽  
High Risk ◽  
Health System ◽  
Phase 1 ◽  
Phase 2 ◽  
Diabetes Screening ◽  
Phase 3 ◽  
Diagnosis Rate ◽  
Screening And Diagnosis

Background: Diabetes forms huge burden of non-communicable diseases that is affecting health care systems in India. India has large number undiagnosed and undetected cases. mHealth initiatives are cost effective, quick and less resource intensive technology assisted initiatives which help to strengthen the health system. High mobile penetration and availability of cheap and high-speed data network across India has been conducive to implement mHealth initiatives in Indian health system. We present our experience in using mHealth initiative to improve the diabetes screening and diagnosis in rural Indian settings.Methods: The study is a descriptive analysis of all the tasks undertaken as part of “Disease free Village” Initiative of our organization. The study data is operational data from our organizational health information management systems. The study is divided into three phase. Phase 1, was dedicated to enrolling entire village population using android smartphone and ODK collect application; phase 2 used clinical decision support system for screening of high risk individuals and phase 3 used traditional door to door campaign to motivating the high risk individuals to get their fast and post prandial blood glucose levels checked at health care facility.Results: Phase 1 was to set a baseline, with 3624 base population, 2651 was target adult population. Rapid screening in phase 2, screened 2204 (83.14%). Out of 2204 screened cases 1307 were high risk cases. 1307 high risk cases were followed in Phase 3, and blood glucose screening was carried out 1156 (88.44%) high and moderate risk individuals out of 1307 (100%).Conclusions: We concluded that the mHealth initiatives for screening and diagnosis of diabetes in rural India, combined with traditional techniques could help to improve screening and diagnosis rate and help to reduce the hidden burden of disease.

scholarly journals Association between Loneliness and Diseases Self-Management in Older Adults: Systematic Review

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 626-627
Author(s):  
Emma Cho ◽  
Ya-Ching Huang ◽  
Alexandra Garcia ◽  
Hsuan-Ju Kuo
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
At Risk ◽  
Health Behaviors ◽  
Chronic Diseases ◽  
Negative Impact ◽  
Self Management ◽  
Physically Active ◽  
Aging Populations ◽  
Management Behaviors

Abstract Purpose Older adults with chronic diseases are more at risk for loneliness, and loneliness has a negative impact on health behaviors, which are key to managing chronic diseases. However, little is known about the association between loneliness and self-management behaviors in older adults with chronic diseases. As societies worldwide experience the growth of aging populations who are at higher risk of having chronic diseases as they age, clinicians and researchers should assess and address loneliness of older adults with chronic diseases. Methods This systematic review synthesizes research found in PubMed, MEDLINE, PsychINFO, CINAHL, and SocINDEX. Findings: fourteen studies were conducted in four countries and represented n= 128,610. Loneliness was measured by three different instruments. Reports of loneliness were frequent and ranged from 7.7% (in a report of severe loneliness) to 43.2% (moderate loneliness) of older adults. Older adults who experienced loneliness were less likely to be physically active, eat a healthy diet, or cope in positive ways and more likely to be female and seek healthcare. Conclusions This systematic review found that loneliness was moderately prevalent, and that loneliness was associated with negative disease self-management behaviors in older adults with chronic diseases. Gaps in the research include a need for studies guided by theoretical pathways, using a consistent, theoretically-based measure of loneliness, and conducted on among people with specific chronic diseases.

Self-Management Behaviours and Change in Frailty Status among Community-Dwelling Older Adults: A National Longitudinal Population-based Cohort Study

2022 ◽  
Author(s):  
Thi Lien To ◽  
Ching-Pyng Kuo ◽  
Chih-Jung Yeh ◽  
Wen-Chun Liao ◽  
Meng-Chih Lee
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
Chronic Diseases ◽  
Community Dwelling ◽  
Self Management ◽  
Geriatric Syndrome ◽  
Frailty Phenotype ◽  
Frailty Status ◽  
Community Dwelling Older Adults

Abstract Background: Frailty in older adults is a common geriatric syndrome that can be reversed, thus coping strategies for the aging population are essential. Self-management behaviours may represent cost-effective strategies to reverse physical frailty in community-dwelling older adults. This study aimed to describe the changes in frailty status among community-dwelling older adults in Taiwan and investigate the association of self-management behaviours with changes in frailty status over a four-year follow-up period (2007 to 2011).Methods: This data was retrieved from the Taiwan Longitudinal Study of Aging (TLSA), which is a prospective cohort study of 1,283 community-dwelling older adults aged 65 years and older without cognitive impairment. Frailty was assessed based on Fried's frailty phenotype, in which ≥ three criteria indicate frail. Self-management behaviours (maintaining body weight, quitting smoking, drinking less, exercising, diet control, and maintaining a regular lifestyle) were assessed using a questionnaire. Multivariate logistic regression analyses were used to investigate the associations between self-management behaviours and changes in frailty status.Results: The prevalence of frailty was 8.7% at baseline and 8.1% after four years of follow-up, with 196 (15.3%) deaths. Overall, 74.6% of participants remained in the same state (non-frail or frail), 23.5% worsened (non-frail to frail, including missing data, and frail to death), and only 1.95% improved (frail to non-frail). Being aged ≥ 75-years-old, chronic diseases, and an absence of self-management behaviours were associated with higher risks of frailty at baseline and after follow-up. Exercise was significantly associated with a reversal of frailty in community-dwelling older adults (RR, 3.11; 95% CI, 1.95, 4.95) after adjusting for personal and disease covariates, regardless of whether death was coded as frail or not.Conclusions: Self-management behaviours beneficially reverse frailty status; maintaining regular exercise was especially associated with a reversal of frailty in community-dwelling older adults, even among individuals over 75-years-old and with chronic diseases. Older adults should be encouraged to perform adequate physical exercise to prevent the progression of frailty and ameliorate frailty status.

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