A review of web-based chronic disease self-management for older adults

Digital interventions to reduce social isolation and loneliness in older adults: An evidence and gap map

Background

Social isolation and loneliness are more common in older adults and are associated with a serious impact on their well-being, mental health, physical health, and longevity. They are a public health concern highlighted by the COVID-19 pandemic restrictions, hence the need for digital technology tools to enable remotely delivered interventions to alleviate the impact of social isolation and loneliness during the COVID-19 restrictions.

Objectives

To map available evidence on the effects of digital interventions to mitigate social isolation and/or loneliness in older adults in all settings except hospital settings.

Search Methods

We searched the following databases from inception to May 16, 2021, with no language restrictions. Ovid MEDLINE, Embase, APA PsycInfo via Ovid, CINAHL via EBSCO, Web of Science via Clarivate, ProQuest (all databases), International Bibliography of the Social Sciences (IBSS) via ProQuest, EBSCO (all databases except CINAHL), Global Index Medicus, and Epistemonikos.

Selection Criteria

Titles and abstracts and full text of potentially eligible articles were independently screened in duplicate following the eligibility criteria.

Data Collection and Analysis

We developed and pilot tested a data extraction code set in Eppi-Reviewer and data were individually extracted and coded based on an intervention-outcome framework which was also used to define the dimensions of the evidence and gap map.

Main Results

We included 200 articles (103 primary studies and 97 systematic reviews) that assessed the effects of digital interventions to reduce social isolation and/or loneliness in older adults. Most of the systematic reviews (72%) were classified as critically low quality, only 2% as high quality and 25% were published since the COVID-19 pandemic. The evidence is unevenly distributed with clusters predominantly in high-income countries and none in low-income countries. The most common interventions identified are digital interventions to enhance social interactions with family and friends and the community via videoconferencing and telephone calls. Digital interventions to enhance social support, particularly socially assistive robots, and virtual pets were also common. Most interventions focused on reducing loneliness and depression and improving quality of life of older adults. Major gaps were identified in community level outcomes and process indicators. No included studies or reviews assessed affordability or digital divide although the value of accessibility and barriers caused by digital divide were discussed in three primary studies and three reviews. Adverse effects were reported in only two studies and six reviews. No study or review included participants from the LGBTQIA2S+ community and only one study restricted participants to 80 years and older. Very few described how at-risk populations were recruited or conducted any equity analysis to assess differences in effects for populations experiencing inequities across PROGRESS-Plus categories.

Authors' Conclusions

The restrictions placed on people during the pandemic have shone a spotlight onto social isolation and loneliness, particularly for older adults. This evidence and gap map shows available evidence on the effectiveness of digital interventions for reducing social isolation or loneliness in older adults. Although the evidence is relatively large and recent, it is unevenly distributed and there is need for more high-quality research. This map can guide researchers and funders to consider areas of major gaps as priorities for further research.

Social Prescription Interventions Addressing Social Isolation and Loneliness in Older Adults: Meta-Review Integrating On-the-Ground Resources

BACKGROUND

Social prescription programs represent a viable solution to linking primary care patients to nonmedical community resources for improving patient well-being. However, their success depends on the integration of patient needs with local resources. This integration could be accelerated by digital tools that use expressive ontology to organize knowledge resources, thus enabling the seamless navigation of diverse community interventions and services tailored to the needs of individual users. This infrastructure bears particular relevance for older adults, who experience a range of social needs that impact their health, including social isolation and loneliness. An essential first step in enabling knowledge mobilization and the successful implementation of social prescription initiatives to meet the social needs of older adults is to incorporate the evidence-based academic literature on what works, with on-the-ground solutions in the community.

OBJECTIVE

This study aims to integrate scientific evidence with on-the-ground knowledge to build a comprehensive list of intervention terms and keywords related to reducing social isolation and loneliness in older adults.

METHODS

A meta-review was conducted using a search strategy combining terms related to older adult population, social isolation and loneliness, and study types relevant to reviews using 5 databases. Review extraction included intervention characteristics, outcomes (social [eg, loneliness, social isolation, and social support] or mental health [eg, psychological well-being, depression, and anxiety]), and effectiveness (reported as consistent, mixed, or not supported). Terms related to identified intervention types were extracted from the reviewed literature as well as descriptions of corresponding community services in Montréal, Canada, available from web-based regional, municipal, and community data sources.

RESULTS

The meta-review identified 11 intervention types addressing social isolation and loneliness in older adults by either increasing social interactions, providing instrumental support, promoting mental and physical well-being, or providing home and community care. Group-based social activities, support groups with educational elements, recreational activities, and training or use of information and communication technologies were the most effective in improving outcomes. Examples of most intervention types were found in community data sources. Terms derived from the literature that were the most commonly congruent with those describing existing community services were related to telehealth, recreational activities, and psychological therapy. However, several discrepancies were observed between review-based terms and those addressing the available services.

CONCLUSIONS

A range of interventions found to be effective at addressing social isolation and loneliness or their impact on mental health were identified from the literature, and many of these interventions were represented in services available to older residents in Montréal, Canada. However, different terms were occasionally used to describe or categorize similar services across data sources. Establishing an efficient means of identifying and structuring such sources is important to facilitate referrals and help-seeking behaviors of older adults and for strategic planning of resources.

Communication partner perspectives of aphasia self-management and the role of technology: an in-depth qualitative exploration

PURPOSE

"Self-management" empowers individuals to take responsibility for their healthcare through skill-building, personal growth, and self-efficacy related to chronic health condition management. Self-management approaches may benefit people with aphasia (PwA); however, PwA are often excluded from stroke self-management research and there is no published research reporting on aphasia-specific self-management programs. Communication partners (CPs) are involved in the rehabilitation and day-to-day lives of PwA, thus giving them unique insights and knowledge of PwA needs. The present study aimed to investigate CP experiences and perspectives regarding aphasia self-management and to explore CP perceptions of the use of technology in aphasia self-management.

METHODS

In-depth, semi-structured interviews with 14 CPs living in Australia. Interview data was analysed using qualitative content analysis.

RESULTS

Analysis revealed six core themes: (1) aphasia self-management is embedded into everyday life, (2) CPs provide comprehensive self-management support, (3) speech-language pathologists (SLPs) provide tools and support to enable PwA to self-manage, (4) aphasia self-management can be enhanced by technological supports, (5) potential positive outcomes of aphasia self-management, and (6) factors influencing successful aphasia self-management.

CONCLUSIONS

Aphasia self-management programs should focus on individual needs, functional communication in daily life, and social interaction. PwA and CPs are central to these programs, assisted by SLPs. Technology should be explored to augment aphasia self-management.Implications for RehabilitationCommunication partners suggest that people with aphasia are already engaging in aspects of self-management and that more formal aphasia-specific self-management approaches may be beneficial.Dedicated aphasia self-management programs should be situated in daily life with a focus on functional communication, life participation, confidence, and independence.Communication partners, speech-language pathologists, and technology are key support sources for aphasia self-management.Further input should be sought from communication partners in the development of aphasia self-management programs.

Electronic patient-reported monitoring of symptoms during follow-up of ovarian cancer patients: a feasibility study

Background

Ovarian cancer patients require monitoring for relapse. Innovative follow-up methods are increasingly being explored. An electronic patient-reported outcome (ePRO) follow-up pathway was developed for women treated for ovarian cancer. This feasibility study explored patient acceptability and compliance.

Methods

A single-arm non-blinded prospective feasibility study was undertaken at two hospitals. Participants were women who had completed treatment for ovarian cancer whose clinician was happy for them to be monitored remotely. Automated 3-monthly reminders were sent to participants to complete an ePRO questionnaire and obtain blood tests. Participants were reviewed over the phone by their clinical nurse specialist instead of attending clinic-based follow-up. The primary outcome was compliance (expected ePRO completions/blood tests) across the 12-month study period. Secondary outcomes were recruitment, attrition, resource use, symptom severity/alerts and patient acceptability.

Results

Twenty-four women consented (50% consent rate), and 13 remained on study at 12 months. Seven women relapsed, 3 chose to withdraw, and 1 withdrew for other clinical reasons. ePRO compliance was high and consistent at 75-82%, although the two hospitals differed. Adherence to the clinical protocol was evident for blood tests and contacts with staff (fewer visits, more phonecalls compared to an earlier audit). End-of-study feedback indicated high patient satisfaction.

Conclusions

Remote ePRO follow-up for ovarian cancer is feasible and acceptable to patients who are able and willing to participate. However, the low recruitment rate (ineligible + declined) indicate it is not suitable/acceptable to all patients immediately post-treatment. Further large-scale research and implementation work is required, especially in a post-COVID era.

Trial registration

ClinicalTrials.gov ID: NCT02847715 (first registered 19/05/2016).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09817-5.

Investigating Medical Student's Preferences for Internet-Based Healthcare Services: A Best-Worst Scaling Survey

Objective: This study aimed to investigate the importance of providing Internet-based healthcare services based on the preference of a sample of medical students in China. Methods: An online best-worst scaling (BWS) survey with Case 1 design was conducted. Balanced independent block design generated 12 choice task profiles for each participant to answer. Descriptive analysis was used to describe the respondents' characteristics; Multinomial and mixed logit regression methods were used to investigate the importance of Internet-based services based on respondents' preferences. Results: A total of 1,296 students completed the online survey and rated "Clinical Service," "Decision Aids," and "Public health" as the three most important services that should be provided through an Internet-based healthcare system. Providing "Medical Education" via the Internet was chosen as the least important service by the respondents. Subgroup analysis indicated that students studying clinical medicine and non-clinical medicine considered providing "Medical Education" and "Public Health," respectively, as more important services than others. Conclusions: This BWS study demonstrated that providing "Clinical Service," "Decision Aids," and "Public Health" through the Internet are the three most important services based on medical students' preferences in China. Further research is needed to investigate how to improve medical students' skills in using internet-based healthcare services in medical education programs.

Coaching Through Technology: A Systematic Review into Efficacy and Effectiveness for the Ageing Population

Background: Despite the evidence on the positive role of self-management, the adoption of health coaching strategies for older people is still limited. To address these gaps, recent efforts have been made in the ICT sector in order to develop systems for delivering coaching and overcoming barriers relating to scarcity of resources. The aim of this review is to examine the efficacy of personal health coaching systems for older adults using digital virtual agents. Methods: A systematic review of the literature was conducted in December 2019 analyzing manuscripts from four databases over the last 10 years. Nine papers were included. Results: Despite the low number of studies, there was evidence that technology-integrated interventions can deliver benefits for health over usual care. However, the review raises important questions about how to maintain benefits and permanence of behavior change produced by short-term interventions. Conclusion: These systems offer a potential tool to reduce costs, minimize therapist burden and training, and expand the range of clients who can benefit from them. It is desirable that in the future the number of studies will grow, considering other aspects such as the role of the virtual coaches’ characteristics, social-presence, empathy, usability, and health literacy.

"Call a Teenager… That's What I Do!" - Grandchildren Help Older Adults Use New Technologies: Qualitative Study

Background

Although family technical support seems intuitive, there is very little research exploring this topic.

Objective

The objective of this study was to conduct a subanalysis of data collected from a large-scale qualitative project regarding older adults’ experiences in using health information technology. Specifically, the subanalysis explored older adults’ experiences with technology support from family members to inform strategies for promoting older adults’ engagement with new health technologies. Although the primary analysis of the original study was theoretically driven, this paper reports results from an inductive, open-coding analysis.

Methods

This is a subanalysis of a major code identified unexpectedly from a qualitative study investigating older adults’ use experience of a widespread health technology, the patient portal. A total of 24 older patients (≥65 years) with multiple chronic conditions (Charlson Comorbidity Index >2) participated in focus groups conducted at the patients’ primary clinic. While conducting the primary theoretically driven analysis, coders utilized an open-coding approach to ensure important ideas not reflected in the theoretical code book were captured. Open coding resulted in 1 code: family support. This subanalysis further categorized family support by who provided tech support, how tech support was offered, and the opinions of older participants about receiving family tech support.

Results

The participants were not specifically asked about family support, yet themes around family assistance and encouragement for technology emerged from every focus group. Participants repeatedly mentioned that they called their grandchildren and adult children if they needed help with technology. Participants also reported that family members experienced difficulty when teaching technology use. Family members struggled to explain simple technology tasks and were frustrated by the slow teaching process.

Conclusions

The results suggest that older adults ask their family members, particularly grandchildren, to support them in the use of new technologies. However, family may experience difficulties in providing this support. Older adults will be increasingly expected to use health technologies, and family members may help with tech support. Providers and health systems should consider potential family support and engagement strategies to foster adoption and use among older patients.

Participation, Retention, and Utilization of a Web-Based Chronic Disease Self-Management Intervention Among Older Adults

BACKGROUND

Web-based self-management (web-based SM) interventions provide a potential resource for older adults to engage in their own chronic disease management. The purpose of this study is to investigate the effect of age on participation, retention, and utilization of a web-based SM intervention.

MATERIALS AND METHODS

This study reports the results of a secondary data analysis of the effects of age in a randomized trial of a web-based diabetes SM intervention. Participation, reasons for nonenrollment, retention, reasons for disenrollment, and website utilization were examined by age using discriminant function, survival analysis, and multivariate analysis of variance as appropriate.

RESULTS

Website utilization by all participants dropped after 6 months but did not vary significantly with age. Though older adults (>60 of age) were less likely to choose to participate (F = 57.20, p < 0.001), a slight majority of participants in the experiment (53%) were over 66 years of age. Enrolled older adults utilized website management tools at a rate equivalent to younger participants. At termination, they often reported the experiment as burdensome, but tended to stay in the study longer than younger participants.

CONCLUSIONS

Web-based SM offers a feasible approach for older adults with chronic disease to engage in their health management, but it needs to be improved. Those older adults who passed the rigorous screens for this experiment and chose to participate may have been more likely than younger participants to utilize web-based SM intervention tools. They were more persistent in their use of the web-based SM to try to improve health outcomes and formed definitive opinions about its utility before termination.