A Web-Based eHealth Intervention to Improve the Quality of Life of Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial

The effects of tele-based interventions for depression and anxiety symptoms in patients with Chronic Obstructive Pulmonary Disease (COPD): A systematic review and meta-analysis

BACKGROUND

Depression and anxiety are common psychiatric symptoms in patients with Chronic Obstructive Pulmonary Disease (COPD). While face-to-face psychotherapy is a common option, tele-based interventions provide a more accessible alternative. However, a comprehensive synthesis of evidence from clinical trials for COPD patients has yet to be conducted.

OBJECTIVE

This study aims to evaluate the effects of tele-based interventions in reducing depressive and anxiety symptoms in patients with COPD.

METHODS

A systematic search of PubMed, EMBASE, the Cochrane Library, Web of Science, PsycINFO, and MEDLINE databases was conducted from inception to May 5, 2024. Eligible studies included Randomized Controlled Trials (RCTs) of people with COPD patients receiving tele-based interventions reporting on the outcomes of depression or anxiety. Data extraction and quality assessment were performed independently by two researchers. The quality of the included studies was assessed using the Cochrane risk-of-bias tool. Meta-analysis was performed using RevMan (version 5.4) and Stata (version 18.0) software.

RESULTS

Following the search, 9 RCTs with a total of 2064 patients with COPD were included. The meta-analysis revealed that tele-based interventions reduced depressive symptoms in patients with COPD (Standardized Mean Difference [SMD] = -0.15, 95 % CI -0.24 to -0.06; P = 0.001). The subgroup analysis indicated that the PHQ-9 (SMD = -0.24, 95 % CI -0.37 to -0.10; P = 0.001) was better at detecting changes in depressive symptoms compared to other scales; the first 3 months of intervention (SMD = -0.36, 95 % CI -0.52 to -0.19; P < 0.001) was the most pronounced improvement; and telehealth interventions were more effective (SMD = -0.30, 95 % CI -0.46 to -0.15; P < 0.001) than telemonitoring interventions. Tele-based interventions also reduced anxiety symptoms in patients with COPD (SMD = -0.12, 95 % CI -0.22 to -0.02; P = 0.02).

CONCLUSIONS

The evidence supports the efficacy of tele-based interventions in alleviating depression and anxiety symptoms in COPD patients. However, further large-scale and rigorously designed studies are warranted to strengthen the evidence.

Effectiveness of Telecare Interventions on Depression Symptoms Among Older Adults: Systematic Review and Meta-Analysis

BACKGROUND

Depression is the most common psychiatric disorder among older adults. Despite the effectiveness of pharmacological and psychological therapies, many patients with late-life depression (LLD) are unable to access timely treatment. Telecare has been shown to be effective in addressing patients' psychosocial issues, while its effectiveness in serving patients with LLD remains unclear.

OBJECTIVE

This study aimed to evaluate the effectiveness of telecare in reducing depression and anxiety symptoms and improving quality of life (QoL) in patients with LLD.

METHODS

Databases including the Cochrane Library, Web of Science, PubMed, Embase, and EBSCO were searched for randomized controlled trials (RCTs) evaluating the effectiveness of telecare for LLD from database establishment to December 28, 2022.

RESULTS

A total of 12 RCTs involving 1663 participants were identified in this study. The meta-analysis showed that (1) telecare significantly reduced depressive symptoms in patients with LLD compared to those in usual care (UC; standardized mean difference [SMD]=-0.46, 95% CI -0.53 to -0.38; P<.001), with the best improvement observed within 3 months of intervention (SMD=-0.72, 95% CI -1.16 to -0.28; P<.001); (2) other scales appeared more effective than the Patient Health Questionnaire-9 for LLD in telecare interventions (SMD=-0.65, 95% CI -0.96 to -0.35; P<.001); (3) telecare was more effective than telephone-based interventions for remote monitoring of LLD (SMD=-1.13, 95% CI -1.51 to -0.76; P<.001); (4) the reduction of depressive symptoms was more pronounced in patients with LLD with chronic conditions (SMD=-0.67, 95% CI -0.89 to -0.44; P<.001); (5) telecare was more effective for LLD in Europe and the Americas than in other regions (SMD=-0.73, 95% CI -0.99 to -0.47; P<.001); (6) telecare significantly reduced anxiety symptoms in patients with LLD (SMD=-0.53, 95% CI -0.73 to -0.33; P=.02); and (7) there was no significant improvement in the psychological components of QoL in patients with LLD compared to those receiving UC (SMD=0.30, 95% CI 0.18-0.43; P=.80).

CONCLUSIONS

Telecare is a promising modality of care for treatment, which can alleviate depression and anxiety symptoms in patients with LLD. Continued in-depth research into the effectiveness of telecare in treating depression could better identify where older patients would benefit from this intervention.

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.

The digitized chronic disease management model: scalable strategies for implementing standardized healthcare and big data analytics in Shanghai

Background

Chronic disease management (CDM) falls under production relations, and digital technology belongs to the realm of productivity. Production relations must adapt to the development of productivity. Simultaneously, the prevalence and burden of chronic diseases are becoming increasingly severe, leveraging digital technology to innovate chronic disease management model is essential.

Methods

The model was built to cover experts in a number of fields, including administrative officials, public health experts, information technology staff, clinical experts, general practitioners, nurses, metrologists. Integration of multiple big data platforms such as General Practitioner Contract Platform, Integrated Community Multimorbidity Management System and Municipal and District-Level Health Information Comprehensive Platform. This study fully analyzes the organizational structure, participants, service objects, facilities and equipment, digital technology, operation process, etc., required for new model in the era of big data.

Results

Based on information technology, we build Integrated Community Multimorbidity Care Model (ICMCM). This model is based on big data, is driven by "technology + mechanism," and uses digital technology as a tool to achieve the integration of services, technology integration, and data integration, thereby providing patients with comprehensive people-centered services. In order to promote the implementation of the ICMCM, Shanghai has established an integrated chronic disease management information system, clarified the role of each module and institution, and achieved horizontal and vertical integration of data and services. Moreover, we adopt standardized service processes and accurate blood pressure and blood glucose measurement equipment to provide services for patients and upload data in real time. On the basis of Integrated Community Multimorbidity Care Model, a platform and index system have been established, and the platform's multidimensional cross-evaluation and indicators are used for management and visual display.

Conclusions

The Integrated Community Multimorbidity Care Model guides chronic disease management in other countries and regions. We have utilized models to achieve a combination of services and management that provide a grip on chronic disease management.

A fuzzy based dietary clinical decision support system for patients with multiple chronic conditions (MCCs)

Due to the multifaceted nature of Multiple Chronic Conditions (MCCs), setting a diet for these patients is complicated and time-consuming. In this study, a clinical decision support system based on fuzzy logic was modeled and evaluated to aid dietitians in adjusting the diet for patients with MCCs. Mamdani fuzzy logic with 1144 rules was applied to design the model for MCCs patients over 18 years who suffer from one or more chronic diseases, including obesity, diabetes, hypertension, hyperlipidemia, and kidney disease. One hundred nutrition records from three nutrition clinics were employed to measure the system's performance. The findings showed that the diet set by nutritionists had no statistically significant difference from the diet recommended by the fuzzy model (p > 0.05), and there was a strong correlation close to one between them. In addition, the results indicated a suitable model performance with an accuracy of about 97%. This system could adjust the diet with high accuracy as well as humans. In addition, it could increase dietitians' confidence, precision, and speed in setting the diet for MCCs patients.

Ehealth and lifestyle change: The mediating roles of social support and patient empowerment

Objectives

The purpose of this study was to investigate the impact of eHealth, the use of information and communications technologies to improve or enable health and health care, on lifestyle behaviors through social support and patient empowerment as serial mediators.

Methods

We conducted an anonymous online survey of 29 items in October 2019 to assess Chinese people's eHealth activities (i.e. engaging in online health-related activities), social support (including emotional and instrumental support) and patient empowerment, for a lifestyle change. A total of 681 respondents aged 18 or above (49.9% males) with an average age of 30.8 completed the survey.

Results

Social support (including emotional and instrumental support) and patient empowerment were found to be salient mediators between eHealth and lifestyle behaviors. Specifically, engaging in eHealth activities can improve both perceived emotional support and instrumental support from care networks, of which both would increase patient empowerment, which subsequently prompted healthy lifestyle behaviors (β = .01, confidence interval (CI): [.003, .013] for emotional support as the first mediator; β < .01, CI: [.003, .010] for instrumental support as the first mediator). However, the results showed that engaging in eHealth activities was not directly associated with a healthy lifestyle (β = .01, p = .65).

Conclusions

Our findings suggest that eHealth is effective and useful to drive people into action to develop healthy lifestyle behaviors. Particularly, by providing multiple potential sources of social support, eHealth will promote both emotional support and instrumental support, which is vital to increase patient empowerment, and eventually leads to healthy lifestyle behaviors.

Using Smart Displays to Implement an eHealth System for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial

Background

Voice-controlled smart speakers and displays have a unique but unproven potential for delivering eHealth interventions. Many laptop- and smartphone-based interventions have been shown to improve multiple outcomes, but voice-controlled platforms have not been tested in large-scale rigorous trials. Older adults with multiple chronic health conditions, who need tools to help with their daily management, may be especially good candidates for interventions on voice-controlled devices because these patients often have physical limitations, such as tremors or vision problems, that make the use of laptops and smartphones challenging.

Objective

The aim of this study is to assess whether participants using an evidence-based intervention (ElderTree) on a smart display will experience decreased pain interference and improved quality of life and related measures in comparison with participants using ElderTree on a laptop and control participants who are given no device or access to ElderTree.

Methods

A total of 291 adults aged ≥60 years with chronic pain and ≥3 additional chronic conditions will be recruited from primary care clinics and community organizations and randomized 1:1:1 to ElderTree access on a smart display along with their usual care, ElderTree access on a touch screen laptop along with usual care, or usual care alone. All patients will be followed for 8 months. The primary outcomes are differences between groups in measures of pain interference and psychosocial quality of life. The secondary outcomes are between-group differences in system use at 8 months, physical quality of life, pain intensity, hospital readmissions, communication with medical providers, health distress, well-being, loneliness, and irritability. We will also examine mediators and moderators of the effects of ElderTree on both platforms. At baseline, 4 months, and 8 months, patients will complete written surveys comprising validated scales selected for good psychometric properties with similar populations. ElderTree use data will be collected continuously in system logs. We will use linear mixed-effects models to evaluate outcomes over time, with treatment condition and time acting as between-participant factors. Separate analyses will be conducted for each outcome.

Results

Recruitment began in August 2021 and will run through April 2023. The intervention period will end in December 2023. The findings will be disseminated via peer-reviewed publications.

Conclusions

To our knowledge, this is the first study with a large sample and long time frame to examine whether a voice-controlled smart device can perform as well as or better than a laptop in implementing a health intervention for older patients with multiple chronic health conditions. As patients with multiple conditions are such a large cohort, the implications for cost as well as patient well-being are significant. Making the best use of current and developing technologies is a critical part of this effort.

Trial Registration

ClinicalTrials.gov NCT04798196; https://clinicaltrials.gov/ct2/show/NCT04798196

International Registered Report Identifier (IRRID)

PRR1-10.2196/37522

Effect of an eHealth intervention on older adults' quality of life and health-related outcomes: a randomized clinical trial

BACKGROUND

By 2030, the number of US adults age ≥65 will exceed 70 million. Their quality of life has been declared a national priority by the US government.

OBJECTIVE

Assess effects of an eHealth intervention for older adults on quality of life, independence, and related outcomes.

DESIGN

Multi-site, 2-arm (1:1), non-blinded randomized clinical trial. Recruitment November 2013 to May 2015; data collection through November 2016.

SETTING

Three Wisconsin communities (urban, suburban, and rural).

PARTICIPANTS

Purposive community-based sample, 390 adults age ≥65 with health challenges.

EXCLUSIONS

long-term care, inability to get out of bed/chair unassisted.

INTERVENTION

Access (vs. no access) to interactive website (ElderTree) designed to improve quality of life, social connection, and independence.

MEASURES

Primary outcome: quality of life (PROMIS Global Health). Secondary: independence (Instrumental Activities of Daily Living); social support (MOS Social Support); depression (Patient Health Questionnaire-8); falls prevention (Falls Behavioral Scale). Moderation: healthcare use (Medical Services Utilization). Both groups completed all measures at baseline, 6, and 12 months.

RESULTS

Three hundred ten participants (79%) completed the 12-month survey. There were no main effects of ElderTree over time. Moderation analyses indicated that among participants with high primary care use, ElderTree (vs. control) led to better trajectories for mental quality of life (OR=0.32, 95% CI 0.10-0.54, P=0.005), social support received (OR=0.17, 95% CI 0.05-0.29, P=0.007), social support provided (OR=0.29, 95% CI 0.13-0.45, P<0.001), and depression (OR= -0.20, 95% CI -0.39 to -0.01, P=0.034). Supplemental analyses suggested ElderTree may be more effective among people with multiple (vs. 0 or 1) chronic conditions.

LIMITATIONS

Once randomized, participants were not blind to the condition; self-reports may be subject to memory bias.

CONCLUSION

Interventions like ET may help improve quality of life and socio-emotional outcomes among older adults with more illness burden. Our next study focuses on this population.

TRIAL REGISTRATION

ClinicalTrials.gov ; registration ID number: NCT02128789.