Ecological Momentary Assessment Within a Digital Health Intervention for Reminiscence in Persons With Dementia and Caregivers: User Engagement Study

Barriers and facilitators to participation in electronic health interventions in older adults with cognitive impairment: an umbrella review

BACKGROUND

Research increasingly supports the role of electronic health technology in improving cognitive function. However, individuals with mild cognitive impairment or dementia often show low compliance with electronic health technology. To understand the barriers and facilitators for this group, this study was conducted.

METHODS

This study used the Joanna Briggs Institute (JBI) umbrella review method, searching relevant English articles in PubMed, Embase, Cochrane, Scopus, MEDLINE, Web of Science, and CINAHL from inception to May 2023. Two researchers independently selected articles based on predefined criteria, assessed study quality using Meta-QAT and A Measurement Tool to Assess Systematic Reviews (AMSTAR), and determined confidence in the evidence using GRADE-CERQual. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was employed to analyze factors related to electronic health technology, and Behavior Change Techniques (BCTs) were used to develop implementation strategies.

RESULTS

This study included 21 reviews, covering 535 primary studies, identifying 13 factors. The three most impactful factors on engagement were Perceived Behavioral Control, Relative Advantage, and Social Factors. Six implementation strategies were formulated based on BCT: enhancing targeted approaches, adapting to existing contexts, involving care organizations, accommodating family involvement, accessing virtual community resources, and recognizing patient variability.

CONCLUSIONS

This umbrella review underscores the need for a multi-level stakeholder approach and a holistic perspective in developing targeted implementation strategies. Using the UTAUT framework, key influential factors have been identified, offering valuable insights for future interventions and enhancing participation in electronic health interventions.

REGISTRATION

This study was registered with the PROSPERO (CRD42023429410).

Reminiscence Therapy and Music With Older Adults: A Descriptive Study Investigating the Current Views and Practices of Australian Aged Care Providers and Volunteers

Reminiscence therapy and music are often used to improve the wellbeing of older people; however, we do not know how these interventions are used in practice. This study explored how those working with older people view and use verbal Reminiscence Therapy (VRT) and Music-assisted Reminiscence Therapy (MRT). A total of 110 participants who worked or volunteered with older people in Australia were surveyed in this descriptive, mixed-method study. VRT and MRT were frequently and spontaneously used to respond to the varied needs of older adults. VRT and MRT lead to reported positive outcomes including better care practices, positive affect and mood, and improved social connections. MRT was used as a compensatory strategy when traditional VRT was not possible. This study describes the current practices of VRT and MRT, and an overview of how reminiscence-based approaches are used in Australia to address the health and wellbeing of older people.

Measuring Engagement in Provider-Guided Digital Health Interventions With a Conceptual and Analytical Framework Using Nurse WRITE as an Exemplar: Exploratory Study With an Iterative Approach

BACKGROUND

Limited guidance exists for analyzing participant engagement in provider-guided digital health interventions (DHIs). System usage is commonly assessed, with acknowledged limitations in measuring socio-affective and cognitive aspects of engagement. Nurse WRITE, an 8-week web-based nurse-guided DHI for managing symptoms among women with recurrent ovarian cancer, offers an opportunity to develop a framework for assessing multidimensional engagement.

OBJECTIVE

This study aims to develop a conceptual and analytic framework to measure socio-affective, cognitive, and behavioral engagement with provider-guided DHIs. We then illustrate the framework's ability to describe and categorize engagement using Nurse WRITE as an example.

METHODS

A sample of 68 participants from Nurse WRITE who posted on the message boards were included. We adapted a prior framework for conceptualizing and operationalizing engagement across 3 dimensions and finalized a set of 6 distinct measures. Using patients' posts, we created 2 socio-affective engagement measures-total count of socio-affective engagement classes (eg, sharing personal experience) and total word count-and 2 cognitive engagement measures-total count of cognitive engagement classes (eg, asking information-seeking questions) and average question completion percentage. Additionally, we devised behavioral engagement measures using website data-the total count of symptom care plans and plan reviews. k-Means clustering categorized the participants into distinct groups based on levels of engagement across 3 dimensions. Descriptive statistics and narratives were used to describe engagement in 3 dimensions.

RESULTS

On average, participants displayed socio-affective engagement 34.7 times, writing 14,851 words. They showed cognitive engagement 19.4 times, with an average of 78.3% completion of nurses' inquiries. Participants also submitted an average of 1.6 symptom care plans and 0.7 plan reviews. Participants were clustered into high (n=13), moderate (n=17), and low engagers (n=38) based on the 6 measures. High engagers wrote a median of 36,956 (IQR 26,199-46,265) words. They demonstrated socio-affective engagement approximately 81 times and cognitive engagement around 46 times, approximately 6 times that of the low engagers and twice that of the moderate engagers. High engagers had a median of 91.7% (IQR 82.2%-93.7%) completion of the nurses' queries, whereas moderate engagers had 86.4% (IQR 80%-96.4%), and low engagers had 68.3% (IQR 60.1%-79.6%). High engagers completed a median of 3 symptom care plans and 2 reviews, while moderate engagers completed 2 plans and 1 review. Low engagers completed a median of 1 plan with no reviews.

CONCLUSIONS

This study developed and reported an engagement framework to guide behavioral intervention scientists in understanding and analyzing participants' engagement with provider-guided DHIs. Significant variations in engagement levels across 3 dimensions highlight the importance of measuring engagement with provider-guided DHIs in socio-affective, cognitive, and behavioral dimensions. Future studies should validate the framework with other DHIs, explore the influence of patient and provider factors on engagement, and investigate how engagement influences intervention efficacy.

The use of ecological momentary assessment for family caregivers of adults with chronic conditions: A systematic review

Background

Ecological momentary assessment (EMA) as a real-time data collection method can provide insight into the daily experiences of family caregivers.

Purpose

This systematic review aimed to synthesize studies involving EMA completed by family caregivers of adults with chronic conditions.

Methods

A systematic search was conducted within six databases for articles published from the inception of the database through September 2023. We extracted the characteristics of the included studies and data on EMA-specific methods to determine the quality of the included studies.

Results

A total of 12 studies involving EMA completed by family caregivers of adults with chronic conditions were identified, with almost all studies focused on caregivers of persons with Alzheimer's or dementia-related conditions. The average compliance rate across the included studies was 75%, below the recommended rate. In addition, most of the included studies did not collect the family caregivers' daily activities and care contexts in their responses (i.e., affect, stress, well-being, care demand, and fatigue) to the EMA prompts.

Discussion

This review showed that using EMA to collect information on family caregivers of adults with chronic health conditions appeared feasible and acceptable. However, the methodology or design of using EMA to collect caregiver information in this population is still preliminary. The limited number of existing studies that have used EMA to capture the daily experiences of family caregivers does not provide key information that could improve understanding of caregivers' emotional experiences and well-being in real-life situations. We identified gaps in the literature that warrant additional EMA studies for this population.

Design requirements for a digital storytelling application for people with mild cognitive impairment (MCI)

Background

The current digital storytelling applications present advantages for individuals with Mild Cognitive Impairment (MCI); however, there exists a notable oversight regarding their potential to facilitate group-based storytelling activities with this population. This study endeavors to identify design requirements for a more inclusive and accessible digital storytelling tool for people with MCI.

Method

The methodological framework encompasses distinct stages, commencing with focus groups and interviews (Stage 1), followed by prototyping workshops (Stage 2) and qualitative prototype testing (Stage 3). The comprehensive three-stage research involved participants residing in Beijing, China, including 43 people with MCI aged 65-95 years (M = 79.09, SD = 8.99), with a mean Montreal Cognitive Assessment score of 21.91 (range = 18-26, SD = 2.40). Additionally, 17 care partners and 10 occupational or clinical therapists actively participated.

Result

The culmination of the three-stage research process has yielded 12 discernible key design requirements. Preferred storytelling themes center around narratives designed to elicit positive emotions. The narrative material generation process involves a systematic approach, unlocking memories through carefully formulated questions. In memory retrieval, users are provided with hints, bolstering confidence and perpetuating a semblance of face-to-face interaction. The focus in story sharing lies in transcending mere narration and extending it to a wider audience.

Conclusion

This case study centers on crafting a digital storytelling application to enhance social connections for people with MCI. It delves into crucial design requirements addressing memory challenges, emphasizing individual preparation and group sharing. The developed digital storytelling application demonstrates potential to offer valuable memory support and foster personal and collective connections. Future research will focus on formal testing to evaluate these outcomes.

Systematization of a cognitive-communicative intervention based on reminiscence for older adults

PURPOSE

To determine the effect of the reminiscence-based cognitive-communicative intervention program (CCSP-R) on global cognitive processing and self-perception of subjective well-being.

METHODS

A purposive sample of 100 self-care elderly adults, with 65 composing the study group and 35 in the control group. The study group was subjected to the proposed program. The Wilcoxon test compared the outcome measures of global cognitive efficacy (MMSE) and subjective well-being (SWLS) before and after the program, whereas the Mann-Whitney U test compared the pre- and post-test differences between the two groups.

RESULTS

A statistically significant difference was found between the pre- and post-test of the SWLS in the study group, but not in the control group. This result was replicated in the global cognitive efficacy variable. A difference between the groups occurred in both measures, with greater benefit for the group that received the intervention.

CONCLUSION

The CCSP-R is a viable alternative for cognitive-communicative stimulation of functional order. The evidence of differences in performance supports its usefulness and validity for intervention in primary care or other similar contexts.

Digital transformation of mental health services

This paper makes a case for digital mental health and provides insights into how digital technologies can enhance (but not replace) existing mental health services. We describe digital mental health by presenting a suite of digital technologies (from digital interventions to the application of artificial intelligence). We discuss the benefits of digital mental health, for example, a digital intervention can be an accessible stepping-stone to receiving support. The paper does, however, present less-discussed benefits with new concepts such as 'poly-digital', where many different apps/features (e.g. a sleep app, mood logging app and a mindfulness app, etc.) can each address different factors of wellbeing, perhaps resulting in an aggregation of marginal gains. Another benefit is that digital mental health offers the ability to collect high-resolution real-world client data and provide client monitoring outside of therapy sessions. These data can be collected using digital phenotyping and ecological momentary assessment techniques (i.e. repeated mood or scale measures via an app). This allows digital mental health tools and real-world data to inform therapists and enrich face-to-face sessions. This can be referred to as blended care/adjunctive therapy where service users can engage in 'channel switching' between digital and non-digital (face-to-face) interventions providing a more integrated service. This digital integration can be referred to as a kind of 'digital glue' that helps join up the in-person sessions with the real world. The paper presents the challenges, for example, the majority of mental health apps are maybe of inadequate quality and there is a lack of user retention. There are also ethical challenges, for example, with the perceived 'over-promotion' of screen-time and the perceived reduction in care when replacing humans with 'computers', and the trap of 'technological solutionism' whereby technology can be naively presumed to solve all problems. Finally, we argue for the need to take an evidence-based, systems thinking and co-production approach in the form of stakeholder-centred design when developing digital mental health services based on technologies. The main contribution of this paper is the integration of ideas from many different disciplines as well as the framework for blended care using 'channel switching' to showcase how digital data and technology can enrich physical services. Another contribution is the emergence of 'poly-digital' and a discussion on the challenges of digital mental health, specifically 'digital ethics'.

A scoping review of intensive longitudinal methods in informal caregivers of people with dementia

BACKGROUND

The daily life of informal caregivers assisting individuals with dementia widely varies throughout the day and week. As an answer, an increasing number of researchers have used intensive longitudinal methods (ILMs) such as diary studies, experience sampling methods, or ecological momentary assessment.

OBJECTIVES AND METHODS

The present scoping review aims at synthesizing the use of ILMs in informal dementia caregivers to clarify what is currently done and how, as well as what remains unaddressed.

RESULTS

The screening process identified 48 studies from 22 different datasets. Synthesis of these studies showed the diversity of devices and uses of ILMs in informal care, including the exploration of associations between variables or accompanying an intervention. ILMs showed the important variability of caregiving phenomena, as well as the important association of momentary stress and well-being. Gaps were nevertheless identified, such as transparency in the construction of the tool or the absence of focus on emotions and dyads.

CONCLUSIONS

For now, this field of research remains in its infancy and does not seem to have reached its full potential as it has in other fields. Nevertheless, it appears that ILMs are promising tools for informal dementia caregivers as they contribute to understanding the complexity of their daily life, with changing resources and challenges. Future directions include focusing more on (emotion) regulation, temporal lags, and the use of ILMs in interventional designs.

TRIAL REGISTRATION

The present review was registered on OSF (osf.io/b2qr4).

Compliance with ecological momentary assessment programmes in the elderly: a systematic review and meta-analysis

OBJECTIVE

Ecological momentary assessment (EMA) refers to the repeated sampling of information about an individual's symptoms and behaviours, enabling the capture of ecologically meaningful real-time information in a timely manner. Compliance with EMA is critical in determining the validity of an assessment. However, there is limited evidence related to how the elderly comply with EMA programmes or the factors that are associated with compliance.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

PubMed, Embase, the Cochrane Library and Web of Science were searched up to 17 July 2022.

ELIGIBILITY CRITERIA

We included observational studies on EMA in the elderly reported in English.

DATA EXTRACTION AND SYNTHESIS

Two investigators independently performed screening and data extraction. Discrepancies were resolved by discussion or a third investigator. A systematic review was carried out to characterise the basic characteristics of the participants and EMA programmes. Random-effects meta-analysis was conducted to assess overall compliance and to explore factors associated with differences in compliance among the elderly.

RESULTS

A total of 20 studies with 2047 participants were included in the systematic review and meta-analysis. Meta-analysis showed that the combined compliance rate was 86.41% (95% CI: 77.38% to 92.20%; I²=96.4%; p<0.001). Subgroup analysis revealed high levels of heterogeneity in terms of the methods used to assess population classification, assessment method and assessment frequency, although these may not be the sources of heterogeneity. Meta-regression analysis showed that population classification and assessment period might have a significant impact on heterogeneity (p<0.05). Egger's test indicated significant publication bias (p<0.001).

CONCLUSIONS

Compliance with EMA programmes is high in the elderly. It is recommended that scholars design reasonable EMA programmes according to the health status of the elderly in the future.

A Mental Health and Well-Being Chatbot: User Event Log Analysis

BACKGROUND

Conversational user interfaces, or chatbots, are becoming more popular in the realm of digital health and well-being. While many studies focus on measuring the cause or effect of a digital intervention on people's health and well-being (outcomes), there is a need to understand how users really engage and use a digital intervention in the real world.

OBJECTIVE

In this study, we examine the user logs of a mental well-being chatbot called ChatPal, which is based on the concept of positive psychology. The aim of this research is to analyze the log data from the chatbot to provide insight into usage patterns, the different types of users using clustering, and associations between the usage of the app's features.

METHODS

Log data from ChatPal was analyzed to explore usage. A number of user characteristics including user tenure, unique days, mood logs recorded, conversations accessed, and total number of interactions were used with k-means clustering to identify user archetypes. Association rule mining was used to explore links between conversations.

RESULTS

ChatPal log data revealed 579 individuals older than 18 years used the app with most users being female (n=387, 67%). User interactions peaked around breakfast, lunchtime, and early evening. Clustering revealed 3 groups including "abandoning users" (n=473), "sporadic users" (n=93), and "frequent transient users" (n=13). Each cluster had distinct usage characteristics, and the features were significantly different (P<.001) across each group. While all conversations within the chatbot were accessed at least once by users, the "treat yourself like a friend" conversation was the most popular, which was accessed by 29% (n=168) of users. However, only 11.7% (n=68) of users repeated this exercise more than once. Analysis of transitions between conversations revealed strong links between "treat yourself like a friend," "soothing touch," and "thoughts diary" among others. Association rule mining confirmed these 3 conversations as having the strongest linkages and suggested other associations between the co-use of chatbot features.

CONCLUSIONS

This study has provided insight into the types of people using the ChatPal chatbot, patterns of use, and associations between the usage of the app's features, which can be used to further develop the app by considering the features most accessed by users.

FindMyApps eHealth intervention improves quality, not quantity, of home tablet use by people with dementia

Introduction

FindMyApps is a tablet-based eHealth intervention, designed to improve social health in people with mild dementia or mild cognitive impairment.

Methods

FindMyApps has been subject to a randomized controlled trial (RCT), Netherlands Trial Register NL8157. Following UK Medical Research Council guidance, a mixed methods process evaluation was conducted. The goal was to investigate the quantity and quality of tablet use during the RCT, and which context, implementation, and mechanisms of impact (usability, learnability and adoption) factors might have influenced this. For the RCT, 150 community dwelling people with dementia and their caregivers were recruited in the Netherlands. For the process evaluation, tablet-use data were collected by proxy-report instrument from all participants' caregivers, FindMyApps app-use data were registered using analytics software among all experimental arm participants, and semi-structured interviews (SSIs) were conducted with a purposively selected sample of participant-caregiver dyads. Quantitative data were summarized and between group differences were analyzed, and qualitative data underwent thematic analysis.

Results

There was a trend for experimental arm participants to download more apps, but there were no statistically significant differences between experimental and control arm participants regarding quantity of tablet use. Qualitative data revealed that experimental arm participants experienced the intervention as easier to use and learn, and more useful and fun than control arm participants. Adoption of tablet app use was lower than anticipated in both arms.

Conclusions

A number of context, implementation and mechanism of impact factors were identified, which might explain these results and may inform interpretation of the pending RCT main effect results. FindMyApps seems to have had more impact on the quality than quantity of home tablet use.

A review of the factors influencing adoption of digital health applications for people living with dementia

Objective

Researchers have used various theories and models to understand technology adoption, however, with the growing interest and availability of mobile applications (apps) for people living with dementia, it is desirable to have a broader insight into how technology adoption may be further improved. This paper aims to explore the factors influencing the adoption of digital health applications for people living with dementia and add to the current literature on this topic.

Methods

Searches were conducted in CINHAL, Web of Science, Psych Info, ProQuest Health and Medical, IEEE Xplore and Scopus. Citation searching and handsearching were used in the identification of other studies.

Results

Following an assessment of relevancy, nine studies remained and are included within this review. Methodological quality was assessed using The Mixed Methods Appraisal Tool (MMAT). A thematic analysis was used for the data synthesis of included studies. Each study reported on different types of apps.

Conclusion

From the synthesis of included studies, four analytic themes were identified; Theme 1: Personal and contextual factors; Theme 2: Perceived value and benefit; Theme 3: Design and content of app; and Theme 4: Digital Literacy and Confidence. People are diverse and so are their reasons for the adoption of apps. These findings provide an insight into the range of factors that impact the adoption of apps for people living with dementia. Understanding the factors that impact the adoption of mobile applications is critical to their success. These findings can be beneficial for app developers and for people living with dementia and their carers.

Diet and Physical Activity as Determinants of Continuously Measured Glucose Levels in Persons at High Risk of Type 2 Diabetes

We examined how dietary and physical activity behaviors influence fluctuations in blood glucose levels over a seven-day period in people at high risk for diabetes. Twenty-eight participants underwent a mixed meal tolerance test to assess glucose homeostasis at baseline. Subsequently, they wore an accelerometer to assess movement behaviors, recorded their dietary intakes through a mobile phone application, and wore a flash glucose monitoring device that measured glucose levels every 15 min for seven days. Generalized estimating equation models were used to assess the associations of metabolic and lifestyle risk factors with glycemic variability. Higher BMI, amount of body fat, and selected markers of hyperglycemia and insulin resistance from the meal tolerance test were associated with higher mean glucose levels during the seven days. Moderate- to vigorous-intensity physical activity and polyunsaturated fat intake were independently associated with less variation in glucose levels (CV%). Higher protein and polyunsaturated fatty acid intakes were associated with more time-in-range. In contrast, higher carbohydrate intake was associated with less time-in-range. Our findings suggest that dietary composition (a higher intake of polyunsaturated fat and protein and lower intake of carbohydrates) and moderate-to-vigorous physical activity may reduce fluctuations in glucose levels in persons at high risk of diabetes.

Dynamics of Loneliness Among Older Adults During the COVID-19 Pandemic: Pilot Study of Ecological Momentary Assessment With Network Analysis

OBJECTIVE

The COVID-19 pandemic has had potentially severe psychological implications for older adults, including those in retirement communities, due to restricted social interactions, but the day-to-day experience of loneliness has received limited study. We sought to investigate sequential association, if any, between loneliness, activity, and affect.

METHODS

We used ecological momentary assessment (EMA) with dynamic network analysis to investigate the affective and behavioral concomitants of loneliness in 22 residents of an independent living sector of a continuing care retirement community (mean age 80.2; range 68-93 years).

RESULTS

Participants completed mean 83.9% of EMA surveys (SD = 16.1%). EMA ratings of loneliness were moderately correlated with UCLA loneliness scale scores. Network models showed that loneliness was contemporaneously associated with negative affect (worried, anxious, restless, irritable). Negative (but not happy or positive) mood tended to be followed by loneliness and then by exercise or outdoor physical activity. Negative affect had significant and high inertia (stability).

CONCLUSIONS

The data suggest that EMA is feasible and acceptable to older adults. EMA-assessed loneliness was moderately associated with scale-assessed loneliness. Network models in these independent living older adults indicated strong links between negative affect and loneliness, but feelings of loneliness were followed by outdoor activity, suggesting adaptive behavior among relatively healthy adults.

Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial

Background

Ageing populations are resulting in higher prevalence of people with multiple chronic conditions (multimorbidity). Digital health platforms have great potential to support self-management of multimorbidity, increasing a person's awareness of their health and well-being, supporting a better understanding of diseases and encouraging behaviour change. However, little research has explored the long-term engagement of older adults with such digital interventions.

Methods

The aim of this study is to analyse how 60 older adults with multimorbidity engaged with digital symptom and well-being monitoring through a digital health platform over a period of approximately 12 months. Data analysis focused on user retention, frequency of monitoring, intervals in monitoring and patterns of daily engagement.

Results

Our findings show that the overall engagement with the digital health platform was high, with more than 80% of participants using the technology devices for over 200 days. The submission frequency for symptom parameters (e.g. blood glucose (BG), blood pressure (BP), etc.) was between three and four times per week which was higher than that of self-report (2.24) and weight (2.84). Submissions of exercise (6.12) and sleep (5.67) were more frequent. The majority of interactions happened in the morning time. The most common time of submission for symptom parameters was 10 am, whereas 8 am was the most common time for weight measurements.

Conclusions

The findings indicate the patterns of engagement of older adults with complex chronic diseases with digital home-based self-management systems.

Copyright as a Barrier to Music Therapy Telehealth Interventions: Qualitative Interview Study

Background

Music therapy is a multifaceted discipline that harnesses the power of music to treat a wide range of patient populations. A therapist who plays music in a private room for a patient is not subject to copyright restrictions on public performances. However, in the wake of the COVID-19 pandemic, music therapy is no longer strictly confined to the face-to-face setting. This study explores music therapists’ perceptions of copyright law with respect to their ability to provide mediated services to their clients.

Objective

The objectives of our study were two-fold. The first was to investigate whether concerns about copyright law are hampering the diffusion of telehealth innovations, and the second was whether these concerns are causing music therapists to avoid therapeutically beneficial telehealth interventions.

Methods

Semistructured interviews were conducted with credentialed music therapists (n=18) in the United States between May 2020 and June 2020. With participants’ consent, we used video conference technology to record and transcribe the in-depth interviews. The median interview length was 45 (SD 16.37) minutes. This theoretically informed study employed thematic analysis of the interview data.

Results

The COVID-19 pandemic accelerated the adoption of telehealth interventions to facilitate therapy outside of private face-to-face environments: environments where music therapy practices are largely shielded from copyright infringement concerns. Five main themes emerged, including therapists’ uncertainty about permissible uses of music and therapists’ erring on the side of caution causing lost opportunities for care. Our interview data suggest music therapists have altered telehealth interventions in suboptimal ways to avoid copyright liability in a physically distanced environment.

Conclusions

Some music therapists “drag their feet” on offering therapeutically appropriate telehealth services to clients because of copyright concerns. Our findings suggest innovative mediated therapies were shied away from or abandoned. These findings offer a novel contribution to the public health literature by highlighting copyright law as an unexpected and unwelcome barrier to the diffusion of music therapy practices in technology-mediated settings.

Fatigue characteristics on dialysis and non-dialysis days in patients with chronic kidney failure on maintenance hemodialysis

BACKGROUND

Fatigue is prevalent in hemodialysis patients who for survival follow a strict dialysis treatment regimen - dialysis and non-dialysis days. As a result, the daily activities, symptom burden, and clinical outcomes of hemodialysis patients vary significantly between dialysis and non-dialysis days. Fatigue is one of the most reported debilitating symptoms by hemodialysis patients with profound negative impact on their quality of life. Prior studies assessed fatigue during the preceding 7 or 30 days and did not discriminate fatigue characteristics between dialysis and non-dialysis days. We aimed to characterize and compare fatigue severity and fatigue interference with daily activities between dialysis and non-dialysis days.

METHODS

Hemodialysis patients self-reported fatigue on consecutive dialysis and non-dialysis days using the 9-item Brief Fatigue Inventory. The differences in fatigue characteristics between dialysis and non-dialysis days were analyzed using one-way ANCOVA.

RESULTS

Global fatigue burden was worse on a dialysis day compared to a non-dialysis day (P for all < 0.001). Age and education were associated with fatigue, but hemodialysis-related variables were not. A significant inverse association of physical activity with fatigue severity observed on non-dialysis day; there was also a negative association between the normalized protein catabolic rate and fatigue severity on both dialysis and non-dialysis days. The positive association of depression with fatigue severity and fatigue interference were consistent on both dialysis and non-dialysis days. None of these factors, however, explained differences in fatigue characteristics between dialysis and non-dialysis days.

CONCLUSIONS

Fatigue, measured in severity and interference, was more pronounced on a dialysis day relative to a non-dialysis day. These differences were not explained by age, sex, education, hemodialysis-related variables, habitual exercise, nutritional status, and or depression. The quantitative measures of fatigue characteristics may facilitate future interventional trials design and better fatigue management for hemodialysis patients.

A Mobile App-Based Intervention Program for Nonprofessional Caregivers to Promote Positive Mental Health: Randomized Controlled Trial

BACKGROUND

While nonprofessional caregivers often experience a sense of fulfillment when they provide care, there is also a significant risk of emotional and physical burnout. Consequently, this can negatively affect both the caregiver and the person being cared for. Intervention programs can help empower nonprofessional caregivers of people with chronic diseases and develop solutions to decrease the physical and psychological consequences resulting from caregiving. However, most clinically tested intervention programs for nonprofessional caregivers require face-to-face training, and many caregivers encounter obstacles that hinder their participation in such programs. Consequently, it is necessary to design internet-based intervention programs for nonprofessional caregivers that address their needs and test the efficacy of the programs.

OBJECTIVE

The aim of this study was to evaluate the effectiveness of a smartphone app-based intervention program to increase positive mental health for nonprofessional caregivers.

METHODS

This study was a randomized controlled trial of 3 months' duration. A total of 152 caregivers over 18 years of age with a minimum of 4 months' experience as nonprofessional caregivers were recruited from primary health care institutions. Nonprofessional caregivers were randomized into two groups. In the intervention group, each caregiver installed a smartphone app and used it for 28 days. This app offered them daily activities that were based on 10 recommendations to promote positive mental health. The level of positive mental health, measured using the Positive Mental Health Questionnaire (PMHQ), and caregiver burden, measured using the 7-item short-form version of the Zarit Caregiver Burden Interview (ZBI-7), were the primary outcomes. Users' satisfaction was also measured.

RESULTS

In all, 113 caregivers completed the study. After the first month of the intervention, only one factor of the PMHQ, F1-Personal satisfaction, showed a significant difference between the groups, but it was not clinically relevant (0.96; P=.03). However, the intervention group obtained a higher mean change for the overall PMHQ score (mean change between groups: 1.40; P=.24). The results after the third month of the intervention showed an increment of PMHQ scores. The mean difference of change in the PMHQ score showed a significant difference between the groups (11.43; P<.001; d=0.82). Significant changes were reported in 5 of the 6 factors, especially F5-Problem solving and self-actualization (5.69; P<.001; d=0.71), F2-Prosocial attitude (2.47; P<.001; d=1.18), and F3-Self-control (0.76; P=.03; d=0.50). The results of the ZBI-7 showed a decrease in caregiver burden in the intervention group, although the results were inconclusive. Approximately 93.9% (46/49) of the app users indicated that they would recommend the app to other caregivers and 56.3% (27/49) agreed that an extension of the program's duration would be beneficial.

CONCLUSIONS

The app-based intervention program analyzed in this study was effective in promoting positive mental health and decreasing the burden of caregivers and achieved a high range of user satisfaction. This study provides evidence that mobile phone app-based intervention programs may be useful tools for increasing nonprofessional caregivers' well-being. The assessment of the effectiveness of intervention programs through clinical trials should be a focus to promote internet-based programs in health policies.

TRIAL REGISTRATION

ISRCTN Registry ISRCTN14818443; http://www.isrctn.com/ISRCTN14818443.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12889-019-7264-5.