Self-monitoring of health data by patients with a chronic disease: does disease controllability matter?

Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study

BACKGROUND

Early detection of vital sign changes is key to recognizing patient deterioration promptly, enabling timely interventions and potentially preventing adverse outcomes.

OBJECTIVE

In this study, vital parameters (heart rate, respiratory rate, oxygen saturation, and blood pressure) will be measured using the Comestai app to confirm the accuracy of photoplethysmography methods compared to standard clinical practice devices, analyzing a large and diverse population. In addition, the app will facilitate big data collection to enhance the algorithm's performance in measuring hemoglobin, glycated hemoglobin, and total cholesterol.

METHODS

A total of 3000 participants will be consecutively enrolled to achieve the objectives of this study. In all patients, personal data, medical condition, and treatment overview will be recorded. The "by face" method for remote photoplethysmography vital sign data collection involves recording participants' faces using the front camera of a mobile device (iOS or Android) for approximately 1.5 minutes. Simultaneously, vital signs will be continuously collected for about 1.5 minutes using the reference devices alongside data collected via the Comestai app; biochemical results will also be recorded. The accuracy of the app measurements compared to the reference devices and standard tests will be assessed for all parameters. CIs will be calculated using the bootstrap method. The proposed approach's effectiveness will be evaluated using various quality criteria, including the mean error, SD, mean absolute error, root mean square error, and mean absolute percentage error. The correlation between measurements obtained using the app and reference devices and standard tests will be evaluated using the Pearson correlation coefficient. Agreement between pairs of measurements (app vs reference devices and standard tests) will be represented using Bland-Altman plots. Sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and likelihood ratios will be calculated to determine the ability of the new app to accurately measure vital signs.

RESULTS

Data collection began in June 2024. As of March 25, 2025, we have recruited 1200 participants. The outcomes of the study are expected at the end of 2025. The analysis plan involves verifying and validating the parameters collected from mobile devices via the app, reference devices, and prescheduled blood tests, along with patient demographic data.

CONCLUSIONS

Our study will enhance and support the accuracy of data on vital sign detection through PPG, also introducing measurements of biochemical risk indicators. The evaluation of a large population will allow for continuous improvement in the performance and accuracy of artificial intelligence algorithms, reducing errors. Expanding research on mobile health solutions like Comestai can support preventive care by validating their effectiveness as screening tools and guiding future health care technology developments.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06427564; https://clinicaltrials.gov/study/NCT06427564.

Perceptions about chronic health conditions, multimorbidity and self-management practices in rural northeast South Africa: findings from a qualitative study

INTRODUCTION

Chronic health conditions are the leading causes of morbidity and mortality worldwide, with a disproportionately high burden in low-income and middle-income countries. The burden arising from these conditions presents immense challenges to countries with dysfunctional public healthcare systems, such as South Africa. This necessitates patients to have a good understanding of the conditions and optimal self-management approaches. We explored patients' understanding of chronic health conditions and self-management practices, including self-monitoring, in the rural South African community of Agincourt in the subdistrict of Bushbuckridge, Mpumalanga Province.

METHODS

We randomly selected patients receiving routine care for chronic health conditions in primary healthcare facilities who were linked to the Agincourt Health and Demographic Surveillance System to participate in focus group discussions. Six focus groups (three with men and three with women) were conducted, with 17 male and 19 female participants (n=35) living with different chronic health conditions. Data were collected using body mapping exercises and semistructured focus group discussions facilitated by two experienced qualitative research assistants. An inclusive thematic approach was used for analysis.

RESULTS

Participants identified most chronic health conditions and their progression. Participants expressed that some consequences of chronic health conditions were unavoidable and some were attributed to medications. Three themes emerged on the management of chronic health conditions: (1) individual-level management, where participants actively changed or managed lifestyle factors associated with the conditions; (2) clinic-level management and support, where participants believed that following instructions from healthcare providers facilitates better management of their condition(s); and (3) prevention and screening, to prevent disease progression and development of complications. Participants also highlighted the role of religion in the control of chronic disease risk factors and traditional treatments for uncommon conditions such as epilepsy. Costs associated with lifestyle changes and equipment to manage and monitor health were highlighted as barriers to self-management of chronic health conditions.

CONCLUSIONS

Our findings contribute to emerging research on chronic health conditions and self-management approaches. Participants in our study demonstrated a good understanding of various chronic health conditions but lacked knowledge of self-management practices and faced barriers to self-management. There is a need for further studies on self-management of chronic health conditions, including self-monitoring among patients in rural sub-Saharan settings.

A review of the utilization of digital health technologies for college students with disabilities

OBJECTIVES

The purpose of this study was to understand current research on the utilization of mobile health (mHealth) technologies for college students with disabilities.

METHODS

We conducted a bibliometric analysis to understand the longitudinal research trends and dominant topics in mHealth research for college students. Next, we performed a scoping review to gain a more in-depth understanding of the current research on the use of mobile technologies for college students with disabilities.

RESULTS

Despite the increasing number of publications on the development of mobile health applications and mHealth interventions for college students, we found only five studies on disabilities. Most previous studies discussed mental health problems, and we could not find any research utilizing mHealth technologies for college students with physical disabilities.

CONCLUSION

Due to a lack of scientific evidence on the digitalized self-care of college students with disabilities, future studies focusing on this minority population are needed.

Patient participation in self-monitoring regarding healthcare of heart failure: an integrated systematic review

BACKGROUND

Self-monitoring in cases of heart failure (HF) can lead to improved health and early detection of states of illness, potentially avoiding unnecessary hospitalisation. Legislation emphasizes the importance of patient participation in health care. This is possible and simplified due to the ongoing digitalisation within the healthcare system. The aim of this study was therefore to describe existing research knowledge on patient participation in self-monitoring regarding healthcare of HF, in the context of digitalisation of healthcare.

METHODS

A systematic literature review with an integrative approach was conducted February 2021 (6 years) and April 2024 (9 years). The review consisted of 12 articles accumulated from four databases. The review was performed in line with the standards of the PRISMA statement, registration number: PROSPERO 2021:244,252.

RESULTS

A total of twelve studies were included, both quantitative and qualitative research. The studies had a wide international spread and included a total of n = 1393 patients aged between 52-77 years, predominantly men. Various aspects of patient participation are the three themes: 'Self-care ability', 'Interaction with healthcare professionals', and 'Empowerment and Individual preferences'. The results indicate that self-monitoring has a predominantly positive effect on self-care behavior and satisfaction with care. Increased awareness and confidence in patients´ own self-care abilities were reported especially in qualitative studies. Through the use of self-monitoring, information and knowledge about HF led to increased control of the disease. Additionally, differences between qualitative and quantitative studies are demonstrated even in this partial result. The qualitative studies showed an increased understanding of disease situations, but corresponding conformity is not shown in quantitative research, and an increased level of knowledge is not yet proven.

CONCLUSIONS

The fact that there is a lack of empirical data in this field of research and that the available data is not coherent indicates that additional studies are required. In step with increased digitalisation and that great responsibility is placed on patient participation, there is a demand for patient studies that embrace a pronounced patient perspective with individual components of self-monitoring.

Self-Monitoring and Self-Efficacy in Patients with Chronic Kidney Disease During Low-Sodium Diet Self-Management Interventions: Secondary Analysis of the ESMO and SUBLIME Trials

BACKGROUND

Patients with chronic kidney disease are often requested to engage in self-monitoring sodium (i.e. salt) intake, but it is currently unknown how self-monitoring would empower them. This study aims to assess: (1) how frequent self-monitoring tools are being used during low-sodium diet self-management interventions; (2) whether self-efficacy (i.e. trust in own capability to manage the chronic disease) is associated with self-monitoring frequency; and (3) whether higher self-monitoring frequency is associated with an improvement in self-efficacy over time.

METHOD

Data from two multicenter randomized controlled trials (ESMO [n = 151] and SUBLIME [n = 99]) among adult Dutch patients with chronic kidney disease (eGFR ≥ 20-25 mL/min/1.73 m2) were used. In both studies, routine care was compared to a 3-month low-sodium diet self-management intervention with several self-monitoring tools (online food diary, home blood pressure monitor, and urinary sodium measurement device [only ESMO]). Data was collected on usage frequency of self-monitoring tools. Frequencies during the interventions were compared between low and high baseline self-efficacy groups using the Mann-Whitney U test and T-test and associated with changes in self-efficacy during the interventions using Spearman correlation coefficients.

RESULTS

Large variations in self-monitoring frequency were observed. In both interventions, usage of self-monitoring tools was highest during the first month with sharp drops thereafter. The online food diary was the most frequently used tool. In the ESMO intervention, low baseline self-efficacy was associated with a higher usage frequency of self-monitoring tools. This finding was not confirmed in the SUBLIME intervention. No significant associations were found between usage frequency of self-monitoring tools and changes in self-efficacy over time.

CONCLUSION

Patients with low self-efficacy might benefit most from frequent usage of self-monitoring tools when sufficient guidance and support is provided.

Patient Burden of Atopic Dermatitis and Opportunities for Real-World Self-Monitoring

Atopic dermatitis (AD) is a complex, chronic disease with multiple negative impacts to patients' health, lives, and overall well-being. The lived experience of AD is multidimensional, heterogeneous, and ever-changing, yet an essential contributor to a holistic understanding of disease burden. Real-world self-monitoring of disease burden by patients has potential as a valuable adjunct to clinical and patient-reported assessments in health care settings. Newer digital tools are available to support these activities, providing opportunity for patients and health care providers to identify aspects of self-monitoring that can best support AD care and management goals, treatment outcomes, and minimize patient burden.

Satisfaction with home blood sampling methods and expectations for future point-of-care testing in phenylketonuria: Perspectives from patients and professionals

INTRODUCTION

Phenylketonuria (PKU) requires regular phenylalanine monitoring to ensure optimal outcome. However, home sampling methods used for monitoring suffer high pre-analytical variability, inter-laboratory variability and turn-around-times, highlighting the need for alternative methods of home sampling or monitoring.

METHODS

A survey was distributed through email and social media to (parents of) PKU patients and professionals working in inherited metabolic diseases in Denmark, The Netherlands, and United Kingdom regarding satisfaction with current home sampling methods and expectations for future point-of-care testing (POCT).

RESULTS

210 parents, 156 patients and 95 professionals completed the survey. Countries, and parents and patients were analysed together, in absence of significant group differences for most questions. Important results are: 1) Many patients take less home samples than advised. 2) The majority of (parents of) PKU patients are (somewhat) dissatisfied with their home sampling method, especially with turn-around-times (3-5 days). 3) 37% of professionals are dissatisfied with their home sampling method and 45% with the turn-around-times. 4) All responders are positive towards developments for POCT: 97% (n = 332) of (parents of) patients is willing to use a POC-device and 76% (n = 61) of professionals would recommend their patients to use a POC-device. 5) Concerns from all participants for future POC-devices are costs/reimbursements and accuracy, and to professionals specifically, accessibility to results, over-testing, patient anxiety, and patients adjusting their diet without consultation.

CONCLUSION

The PKU community is (somewhat) dissatisfied with current home sampling methods, highlighting the need for alternatives of Phe monitoring. POCT might be such an alternative and the community is eager for its arrival.

Perspectives of Japanese elders and their healthcare providers on use of wearable technology to monitor their health at home: A qualitative exploration

BACKGROUND

With 24 million Japanese elderly aging at home, the challenges of managing chronic conditions are significant. As many Japanese elders manage multiple chronic conditions, investigating the usefulness of wearable health devices for this population is warranted.

AIM

The purpose of this qualitative study, using grounded theory, was to explore the perspectives of Japanese elders, their caretakers, and their healthcare providers on the use of technology and wearable devices to monitor health conditions and keep Japanese elders safe at home.

METHODS

In conducting this study, a community advisory board was first established to guide the research design; six focus groups and two one-on-one interviews were conducted, with a total of 21 participants.

RESULTS

Four major themes emerged from the analysis: 1) Current Status of Health Issues Experienced by Japanese Elders and Ways of Being Monitored; 2) Current Use of Monitoring Technology and Curiosity about Use of the Latest Digital Technology to Keep Elderly Healthy at Home; 3) Perceived Advantages of Wearing Sensor Technology; and 4) Perceived Disadvantages of Wearing Technology. Many of the elderly participants were interested in using monitoring devices at home, particularly if not complicated. Healthcare workers found monitoring technologies particularly useful during the isolation of the COVID-19 pandemic. Elderly participants felt cost and technical issues could be barriers to using monitoring devices.

CONCLUSION

While there are challenges to utilizing monitoring devices, the potential to aid the aging population of Japan justifies further investigation into the effectiveness of these devices. This study was not registered with a research trial registry.

Efficacy of a self-monitoring traffic light diary on outcomes of patients with heart failure: A randomized controlled trial

BACKGROUND AND OBJECTIVE

Patients with heart failure experience high hospitalization. However, patients cannot recognize symptoms according to current approaches, which needs to be improved by new self-monitoring instruments and strategies. Thus, we aimed to assess a self-monitoring traffic light diary on outcomes of patients with heart failure.

METHODS

This was a single-blind, two-arm parallel group randomized controlled trial at the heart failure clinic of Tehran Heart Center (Tehran, Iran). Adult patients with a definitive diagnosis of heart failure with reduced ejection fraction (i.e., ejection fraction of less than 40 %), and New York Heart Association functional classes II-IV were included. A block-balanced randomization method was used to assign eligible subjects to the intervention or control group. Baseline data were collected before random allocation. Participants in the intervention group received a comprehensive intervention consisting of (1) self-care education by an Australian Heart Foundation booklet on heart failure, (2) regular self-monitoring of weight and shortness of breath at home, and (3) scheduled call follow-ups for three months. Patients in the control group received usual care. The primary outcome was heart failure self-care; the secondary outcomes were heart failure quality of life, knowledge, and all-cause hospitalization.

RESULTS

From June to August 2017, 68 patients were included in the study. The overall age of participants was 55 (13.6) years old, and 71 % of patients were male. A significant association between the intervention and self-care maintenance (β 5.1; 95 % CI 2.50 to 7.70, P < 0.001), self-care management (β 10.6; 95 % CI 6.50 to 14.8, P < 0.001), self-care confidence (β 8.0; 95 % CI 5.0 to 11.0, P < 0.001) and heart failure knowledge (β 1.7; 95 % CI 1.30, 2.04; P < 0.001) was found. However, there was no association between the intervention and quality of life (β 2.5; 95 % CI -0.79, 5.88, P 0.135) and hospitalization-free survival of the two groups (Log-Rank P 0.540).

CONCLUSION

A self-monitoring traffic light diary can improve self-care behaviors and heart failure knowledge in patients with heart failure with reduced ejection fraction.

RCT APPROVAL ID

Iranian Registry of Clinical Trials IRCT2017021032476N1.

STUDY PROTOCOL

PMCID: PMC6262204.

Above and Beyond Number of Illnesses: A Two-Sample Replication of Current Approaches to Depressive Symptoms in Multimorbidity

OBJECTIVES

To expand current models of depressive symptoms in older adults with multimorbidity (MM) beyond the number of illnesses as a predictor of worsened mental health.

METHODS

Two-sample replication study of adults ≥62 years old with ≥ two chronic illnesses, who completed validated questionnaires assessing depressive symptoms, and disease- and treatment-related stressors. Data were analyzed using hierarchical linear regression.

RESULTS

The model of cumulative number of illnesses was worse at explaining variance in depressive symptoms (Sample 1 R2 = .035; Sample 2 R2 = .029), compared to models including disease- and treatment-related stressors (Sample 1 R2 = .37; Sample 2 R2 = .47). Disease-related stressors were the strongest factor associated with depressive symptoms, specifically, poor subjective cognitive function (Sample 1: b = -.202, p = .013; Sample 2: b = -.288, p < .001) and greater somatic symptoms (b = .455, p < .001; Sample 2: b = .355, p < .001).

CONCLUSIONS

Using the number of illnesses to understand depressive symptoms in MM is a limited approach. Models that move beyond descriptive relationships between MM and depressive symptoms are needed.

CLINICAL IMPLICATIONS

Providers should consider the role of somatic symptom management in patients with MM and depressive symptoms.

Development of a dental diet-tracking mobile app for improved caries-related dietary behaviours: Key features and pilot evaluation of quality

Objective

Diet significantly contributes to dental decay (caries) yet monitoring and modifying patients' diets is a challenge for many dental practitioners. While many oral health and diet-tracking mHealth apps are available, few focus on the dietary risk factors for caries. This study aims to present the development and key features of a dental-specific mobile app for diet monitoring and dietary behaviour change to prevent caries, and pilot data from initial user evaluation.

Methods

A mobile app incorporating a novel photo recognition algorithm and a localised database of 208,718 images for food item identification was developed. The design and development process were iterative and incorporated several behaviour change techniques commonly used in mHealth. Pilot evaluation of app quality was assessed using the end-user version of the Mobile Application Rating Scale (uMARS).

Results

User feedback from the beta-testing of the prototype app spurred the improvement of the photo recognition algorithm and addition of more user-centric features. Other key features of the final app include real-time prompts to drive actionable behaviour change, goal setting, comprehensive oral health education modules, and visual metrics for caries-related dietary factors (sugar intake, meal frequency, etc.). The final app scored an overall mean (standard deviation) of 3.6 (0.5) out of 5 on the uMARS scale.

Conclusion

We developed a novel diet-tracking mobile app tailored for oral health, addressing a gap in the mHealth landscape. Pilot user evaluations indicated good app quality, suggesting its potential as a useful clinical tool for dentists and empowering patients for self-monitoring and behavioural management.

Evaluating the Clinical Use and Utility of a Digital Support App for Employees With Chronic Pain Returning to Work (SWEPPE): Observational Study

BACKGROUND

The digital app SWEPPE (sustainable worker, a digital support for persons with chronic pain and their employers) was developed to improve the support of people with chronic pain in their return-to-work process after sick leave and includes functions such as the action plan, daily self-rating, self-monitoring graphs, the coach, the library, and shared information with the employer.

OBJECTIVE

This study aims to describe the use of the smartphone app SWEPPE among people with chronic pain who have participated in an interdisciplinary pain rehabilitation program.

METHODS

This is a case study including 16 people participating in a feasibility study. The analyses were based on user data collected for 3 months. Quantitative data regarding used functions were analyzed with descriptive statistics, and qualitative data of identified needs of support from the employer were grouped into 8 categories.

RESULTS

Self-monitoring was used by all participants (median 26, IQR 8-87 daily registrations). A total of 11 (N=16, 69%) participants set a work-related goal and performed weekly evaluations of goal fulfillment and ratings of their work ability. In total, 9 (56%) participants shared information with their employer and 2 contacted the coach. A total of 15 (94%) participants identified a total of 51 support interventions from their employer. Support to adapt to work assignments and support to adapt to work posture were the 2 biggest categories. The most common type of support identified by 53% (8/15) of the participants was the opportunity to take breaks and short rests.

CONCLUSIONS

Participants used multiple SWEPPE functions, such as daily self-registration, goal setting, self-monitoring, and employer support identification. This shows the flexible nature of SWEPPE, enabling individuals to select functions that align with their needs. Additional research is required to investigate the extended use of SWEPPE and how employers use shared employee information.

Self-care nursing assessment: cross-cultural adaptation and validation of the Spanish version of the Self-care of chronic illness inventory

BACKGROUND

Self-care is the primary means of caring for a chronic condition. Therefore, it is necessary to assess it by using a good validity and reliability instrument. The Self-Care of Chronic Illness Inventory (SC-CII) is a generic instrument developed to measure self-care processes behaviors using three separate scales in patients with chronic illness. The original cross-cultural assessment concluded the need for future studies sampling patients from different sites to increase the generalizability of the psychometric evaluation results. It was unclear whether this tool had sound psychometrics properties in the context of Spanish culture. The purpose of this study was to cross-culturally adapt the SC-CII, test its psychometric properties and validate its use among Spanish people with chronic diseases.

METHODS

A cross-cultural translation of the SC-CII was performed from English to Spanish. The psychometric evaluation was conducted in a sample of 350 patients with chronic conditions through a multicenter cross-sectional study based on the STROBE guideline. Data were collected from face-to-face interviews during 2022. Internal validity was assessed with Confirmatory Factor Analysis, internal consistency reliability with Cronbach alpha for unidimensional scales and McDonald's Omega reliability coefficient for multidimensional scales.

RESULTS

Most (63.4%) participants were older adults aged 65 years or older with a mean age of 65.45 ± 14.97. The average number of chronic conditions reported was 2.81%; the most common conditions were hypertension (52.3%), musculoskeletal disorders (46.3%) and diabetes (38.9%). Patients reported adequate self-care behaviors in all three scales of the SC-CII. The Self-Care Maintenance and Management scales were multidimensional, and the Self-Care Monitoring scale was unidimensional. In Confirmatory Factor Analysis, the Self-Care Maintenance and Monitoring scales had satisfactory fit indices. The Self-care Management scale had acceptable fit indices. The Omega reliability coefficient for multidimensional scales was 0.75 (Self-Care Maintenance) and 0.72 (Self-Care Management). The Cronbach alpha coefficient of the Self-Care Monitoring scale was 0.85. Item-total correlations were all significant except one. Test-retest reliability showed an intraclass correlation coefficient of 0.92.

CONCLUSIONS

The SC-CII has appropriate psychometrics characteristics and is a culturally suitable and reliable instrument for assessing to the self-care behaviors of patients with chronic disease in Spain. The scale provides a simple and rapid solution to assess the self-care process.

Spanish version of the self-care self-efficacy scale: A validation study in community-dwelling older adults with chronic multimorbidity

OBJECTIVE

To test the psychometric properties of the Spanish version of the Self-Care Self-Efficacy Scale (SCSES-Sp) in community-dwelling older adults with chronic multimorbidity.

METHODS

A sample of 1013 community-dwelling older adults with chronic multimorbidity participated in an observational cross-sectional study that was carried out in 3 phases.

RESULTS

Confirmatory factor analysis showed that the SCSES-Sp has 4 dimensions: "self-efficacy in self-care behaviours based on clinical knowledge", "self-efficacy in self-care maintenance", "self-efficacy in self-care monitoring", and "self-efficacy in self-care management". A panel of independent experts considered the content of the SCSES-Sp valid. Convergent validity analysis showed moderate-strong correlations between all of the SCSES-Sp's dimensions and the reference criteria chosen. Reliability was good for the SCSES-Sp and all its dimensions. Test-retest reliability analysis showed that the SCSES-Sp was temporally stable.

CONCLUSIONS

The SCSES-Sp is a valid and reliable tool to assess self-efficacy in self-care in Spanish-speaking, community-dwelling older adults with chronic multimorbidity.

A web-based survey on self-management for patients with inflammatory bowel disease in Japan

BACKGROUND/AIMS

Self-management (SMN) is a recognized component of care for chronic conditions, yet its importance in the context of inflammatory bowel disease (IBD) is unclear. This study evaluates the status of SMN and its relationship with quality of life (QOL) in Japanese patients with IBD.

METHODS

A web-based survey was conducted among adult (≥20 years old) Japanese patients with ulcerative colitis (UC) or Crohn's disease (CD). Registered members of an online IBD information platform completed a 45-item survey covering demographics, diet, treatment, physical condition, stress management, financial concerns, support services, and QOL. SMN was operationally defined by dietary and lifestyle behaviours, and contingency analysis was used to test for associated factors. Individual-level contributions to SMN were identified with logistic regression.

RESULTS

There were 372 responses to the survey (211 with UC, 161 with CD). Approximately 60% of participants practiced SMN and these patients were 4-24% more likely to report positive QOL than those who did not. SMN was more common in patients with CD than those with UC. SMN practice was also associated with IBD-related hospitalisation/surgery and consultation with others about IBD (e.g. physicians, nurses, patients).

CONCLUSIONS

The results of this study suggest an association between the practice of SMN and positive QOL in patients with IBD in Japan.

Analysing patient-generated data to understand behaviours and characteristics of women with epilepsy of childbearing years: A prospective cohort study

BACKGROUND

Women with epilepsy (WWE) are vulnerable in pregnancy, with increased risks to mother and baby including teratogenic risks, especially from valproate. The free EpSMon mobile-phone app allows self-monitoring to afford patient-centred feedback on seizure related risks, such as sudden death in epilepsy (SUDEP) to its users. We sought to generate insights into various seizure related risks and its treatments in WWE of childbearing age (16 to 60 years ) using EpSMon.

METHODS

The study utilizes a prospective real-world cohort of 5.5 years. Patient reported data on demographics, medication taken, diagnoses, seizure types and recognised biological, psychological, and social factors of seizure related harm were extracted. Data was stratified according to frequent and infrequent users and those scoring lower and higher risk scores. Multivariate logistic regression and different statistical tests were conducted.

FINDINGS

Data from 2158 WWE of childbearing age encompassing 4016 self-assessments were analysed. Overall risk awareness was 25.3% for pregnancy and 54.1% for SUDEP. Frequent users were more aware of pregnancy risks but not of SUDEP. Repeated EpSMon use increased SUDEP awareness but not pregnancy risks. Valproate was used by 11% of WWE, ranging from 6.5% of younger to 31.5% of older women.

CONCLUSIONS

The awareness to risks to pregnancy, SUDEP and valproate is low. Valproate is being used by a significant minority. It is imperative risk communication continues for WWE based on their individual situation and need. This is unlikely to be delivered by current clinical models. Digital solutions hold promise but require work done to raise implementation and acceptability.

Self-Monitoring Diabetes-Related Foot Ulcers with the MyFootCare App: A Mixed Methods Study

People with diabetes-related foot ulcers (DFUs) need to perform self-care consistently over many months to promote healing and to mitigate risks of hospitalisation and amputation. However, during that time, improvement in their DFU can be hard to detect. Hence, there is a need for an accessible method to self-monitor DFUs at home. We developed a new mobile phone app, "MyFootCare", to self-monitor DFU healing progression from photos of the foot. The aim of this study is to evaluate the engagement and perceived value of MyFootCare for people with a plantar DFU over 3 months' duration. Data are collected through app log data and semi-structured interviews (weeks 0, 3, and 12) and analysed through descriptive statistics and thematic analysis. Ten out of 12 participants perceive MyFootCare as valuable to monitor progress and to reflect on events that affected self-care, and seven participants see it as potentially valuable to enhance consultations. Three app engagement patterns emerge: continuous, temporary, and failed engagement. These patterns highlight enablers for self-monitoring (such as having MyFootCare installed on the participant's phone) and barriers (such as usability issues and lack of healing progress). We conclude that while many people with DFUs perceive app-based self-monitoring as valuable, actual engagement can be achieved for some but not for all people because of various facilitators and barriers. Further research should target improving usability, accuracy and sharing with healthcare professionals and test clinical outcomes when using the app.

Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks

BACKGROUND

Psychometrically sound measures of chronic disease self-management tasks are needed to improve identification of patient needs and to tailor self-management programs. This study aimed to develop and conduct a preliminary psychometric analysis of the CanSMART questionnaire among a diverse, multimorbid Canadian population.

METHODS

The data were drawn from a cross-sectional online survey to examine self-management needs and support preferences. Participants were 306 Canadian adults with one or more physical and/or emotional chronic conditions. The questionnaire on frequency of self-management tasks was developed with substantial patient partner input. We conducted Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) of the 11 self-management tasks comprising the scale in two randomly selected subsamples, followed by Rasch analysis. Associations between patient characteristics and the self-management task subscales and individual items were explored.

RESULTS

The factor analyses identified two self-management task subscales that were labelled Coping tasks (6 items) and Physical tasks (3 items), with Cronbach's alpha of 0.70 and 0.67, respectively. Rasch analysis suggested that participants had difficulty discriminating between response options "mostly" and "always". In analyses of independent associations with patient characteristics, both Coping and Physical tasks were associated with reporting more than one chronic disease and employment disability. The Coping tasks subscale was associated with female sex. Two items, on medication use and monitoring biological parameters, did not load on either scale. Both were associated with specific diagnoses.

CONCLUSIONS

In this preliminary analysis, two self-management tasks subscales exhibit good psychometric properties. Two items that did not load on either scale may represent additional dimensions of self-management. This work provides the basis for further scale development and use in research and clinical practice.

Lifestyle factors and migraine

Migraine, a common and disabling neurological disorder, is among the top reasons for outpatient visits to general neurologists. In addition to pharmacotherapy, lifestyle interventions are a mainstay of treatment. High-quality daily diary studies and intervention studies indicate intraindividual variations in the associations between lifestyle factors (such as stress, sleep, diet, and physical activity) and migraine attack occurrence. Behaviour change interventions can directly address overlapping lifestyle factors; combination approaches could capitalise on multiple mechanisms. These findings provide useful directions for integration of lifestyle management into routine clinical care and for future research.

The Effectiveness of Assistive Technologies for Older Adults and the Influence of Frailty: Systematic Literature Review of Randomized Controlled Trials

Background

The use of assistive technologies (ATs) to support older people has been fueled by the demographic change and technological progress in many countries. These devices are designed to assist seniors, enable independent living at home or in residential facilities, and improve quality of life by addressing age-related difficulties.

Objective

We aimed to evaluate the effectiveness of ATs on relevant outcomes with a focus on frail older adults.

Methods

A systematic literature review of randomized controlled trials evaluating ATs was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The Ovid Medline, PsycINFO, SocIndex, CINAHL (Cumulative Index to Nursing and Allied Health Literature), CENTRAL (Cochrane Central Register of Controlled Trials), and IEEEXplore databases were searched from January 1, 2009, to March 15, 2019. ATs were included when aiming to support the domains autonomy, communication, or safety of older people with a mean age ≥65 years. Trials performed within a laboratory setting were excluded. Studies were retrospectively categorized according to the physical frailty status of participants.

Results

A total of 19 trials with a high level of heterogeneity were included in the analysis. Six device categories were identified: mobility, personal disease management, medication, mental support, hearing, and vision. Eight trials showed significant effectiveness in all or some of the primary outcome measures. Personal disease management devices seem to be the most effective, with four out of five studies showing significant improvement of disease-related outcomes. Frailty could only be assessed for seven trials. Studies including participants with significant or severe impairment showed no effectiveness.

Conclusions

Different ATs show some promising results in well-functioning but not in frail older adults, suggesting that the evaluated ATs might not (yet) be suitable for this subgroup. The uncertainty of the effectiveness of ATs and the lack of high-quality research for many promising supportive devices were confirmed in this systematic review. Large studies, also including frail older adults, and clear standards are needed in the future to guide professionals, older users, and their relatives.

Trial Registration

PROSPERO CRD42019130249; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=130249

Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study

BACKGROUND

Remote data capture for blood glucose (BG) or blood pressure (BP) monitoring and the use of a supportive digital app are becoming the model in diabetes and hypertension chronic care. One of the goals in chronic condition management is to increase awareness and generate behavioral change in order to improve outcomes in diabetes and related comorbidities, such as hypertension. In addition, there is a lack of understanding of the association between BG and BP levels when using digital health tools.

OBJECTIVE

By applying a rigorous study framework to digital health data, this study investigated the relationship between BP monitoring and BG and BP levels, as well as a lagged association between BP and BG. We hypothesized that during the first 6 months of BP monitoring, BG and BP levels would decrease. Finally, we suggested a positive association between BP levels and the following month's BG levels.

METHODS

In this retrospective, real-world case-control study, we extracted the data of 269 people with type 2 diabetes (T2D) who tracked their BG levels using the Dario digital platform for a chronic condition. We analyzed the digital data of the users who, in addition to BG, monitored their BP using the same app (BP-monitoring [BPM] group, n=137) 6 months before and after starting their BP monitoring. Propensity score matching established a control group, no blood pressure monitoring (NBPM, n=132), matched on demographic and baseline clinical measures to the BPM group. A piecewise mixed model was used for analyzing the time trajectories of BG, BP, and their lagged association.

RESULTS

Analysis revealed a significant difference in BG time trajectories associated with BP monitoring in BPM and NBPM groups (t=-2.12, P=.03). The BPM group demonstrated BG reduction improvement in the monthly average BG levels during the first 6 months (t=-3.57, P<.001), while BG did not change for the NBPM group (t=0.39, P=.70). Both groups showed similarly stable BG time trajectories (B=0.98, t=1.16, P=.25) before starting the use of the BP-monitoring system. In addition, the BPM group showed a significant reduction in systolic (t=-6.42, P<.001) and diastolic (t=-4.80, P<.001) BP during the first 6 months of BP monitoring. Finally, BG levels were positively associated with systolic (B=0.24, t=2.77, P=.001) and diastolic (B=0.30, t=2.41, P=.02) BP.

CONCLUSIONS

The results of this study shed light on the association between BG and BP levels and on the role of BP self-monitoring in diabetes management. Our findings also underscore the need and provide a basis for a comprehensive approach to understanding the mechanism of BP regulation associated with BG.

Toward the Value Sensitive Design of eHealth Technologies to Support Self-management of Cardiovascular Diseases: Content Analysis

BACKGROUND

eHealth can revolutionize the way self-management support is offered to chronically ill individuals such as those with a cardiovascular disease (CVD). However, patients' fluctuating motivation to actually perform self-management is an important factor for which to account. Tailoring and personalizing eHealth to fit with the values of individuals promises to be an effective motivational strategy. Nevertheless, how specific eHealth technologies and design features could potentially contribute to values of individuals with a CVD has not been explicitly studied before.

OBJECTIVE

This study sought to connect a set of empirically validated, health-related values of individuals with a CVD with existing eHealth technologies and their design features. The study searched for potential connections between design features and values with the goal to advance knowledge about how eHealth technologies can actually be more meaningful and motivating for end users.

METHODS

Undertaking a technical investigation that fits with the value sensitive design framework, a content analysis of existing eHealth technologies was conducted. We matched 11 empirically validated values of CVD patients with 70 design features from 10 eHealth technologies that were previously identified in a systematic review. The analysis consisted mainly of a deductive coding stage performed independently by 3 members of the study team. In addition, researchers and developers of 6 of the 10 reviewed technologies provided input about potential feature-value connections.

RESULTS

In total, 98 connections were made between eHealth design features and patient values. This meant that some design features could contribute to multiple values. Importantly, some values were more often addressed than others. CVD patients' values most often addressed were related to (1) having or maintaining a healthy lifestyle, (2) having an overview of personal health data, (3) having reliable information and advice, (4) having extrinsic motivators to accomplish goals or health-related activities, and (5) receiving personalized care. In contrast, values less often addressed concerned (6) perceiving low thresholds to access health care, (7) receiving social support, (8) preserving a sense of autonomy over life, and (9) not feeling fear, anxiety, or insecurity about health. Last, 2 largely unaddressed values were related to (10) having confidence and self-efficacy in the treatment or ability to achieve goals and (11) desiring to be seen as a person rather than a patient.

CONCLUSIONS

Positively, existing eHealth technologies could be connected with CVD patients' values, largely through design features that relate to educational support, self-monitoring support, behavior change support, feedback, and motivational incentives. Other design features such as reminders, prompts or cues, peer-based or expert-based human support, and general system personalization were also connected with values but in narrower ways. In future studies, the inferred feature-value connections must be validated with empirical data from individuals with a CVD or similar chronic conditions.

Factors influencing the effectiveness of remote patient monitoring interventions: a realist review

OBJECTIVES

Our recent systematic review determined that remote patient monitoring (RPM) interventions can reduce acute care use. However, effectiveness varied within and between populations. Clinicians, researchers, and policymakers require more than evidence of effect; they need guidance on how best to design and implement RPM interventions. Therefore, this study aimed to explore these results further to (1) identify factors of RPM interventions that relate to increased and decreased acute care use and (2) develop recommendations for future RPM interventions.

DESIGN

Realist review-a qualitative systematic review method which aims to identify and explain why intervention results vary in different situations. We analysed secondarily 91 studies included in our previous systematic review that reported on RPM interventions and the impact on acute care use. Online databases PubMed, EMBASE and CINAHL were searched in October 2020. Included studies were published in English during 2015-2020 and used RPM to monitor an individual's biometric data (eg, heart rate, blood pressure) from a distance.

PRIMARY AND SECONDARY OUTCOME MEASURES

Contextual factors and potential mechanisms that led to variation in acute care use (hospitalisations, length of stay or emergency department presentations).

RESULTS

Across a range of RPM interventions 31 factors emerged that impact the effectiveness of RPM innovations on acute care use. These were synthesised into six theories of intervention success: (1) targeting populations at high risk; (2) accurately detecting a decline in health; (3) providing responsive and timely care; (4) personalising care; (5) enhancing self-management, and (6) ensuring collaborative and coordinated care.

CONCLUSION

While RPM interventions are complex, if they are designed with patients, providers and the implementation setting in mind and incorporate the key variables identified within this review, it is more likely that they will be effective at reducing acute hospital events.

PROSPERO REGISTRATION NUMBER

CRD42020142523.

The General Self-Efficacy of Older Adults Receiving Care: A Systematic Review and Meta-Analysis

Background and Objectives

General self-efficacy (GSE) encourages health-promoting behaviors in older adults. It is unsurprising then that older adults receiving health care services are reported to have a greater risk of low GSE than older adults who are not. Despite this, there is currently limited evidence investigating whether the effect differs based on the environment in which care is received. This review aims to determine whether the GSE of older adults is affected by the receipt of health care services and whether GSE varies based on the setting in which care is received.

Research Design and Methods

In accordance with PRISMA guidelines (PROSPERO registration number CRD42018092191), a systematic search was undertaken across 7 databases. Standardized mean differences (SMD) and mean General Self-Efficacy Scale scores, with 95% confidence intervals (CI), were pooled for meta-analysis.

Results

A total of 40 studies were identified, they consisted of 33 population cohorts that were included in the meta-analysis. Older adults receiving health care services were found to be at greater risk of having lower GSE than those who do not (SMD = −0.62; 95% CI: −0.96 to −0.27, p < .0001). Following identification of sources of heterogeneity, older adults receiving acute inpatient care were more likely to have lower GSE than those receiving care in other health care settings.

Discussion and Implications

Older adults receiving inpatient care have a greater risk of lower GSE, and consequently, poorer health-promoting behaviors. Further research is recommended that focuses on the GSE of older adults and health outcomes following discharge from inpatient care.

Technological Developments of Mobility in Smart Cities. An Economic Approach

This article introduces the concern that exists in the wider economic world concerning the developments carried out in Smart Cities. The various studies that have been developed capture the economic approach by focusing on specific economic development theories. This article initially provides a theoretical response to the need for a joint approach to the different economic theories relating to Smart Cities, placing the bases of their development in the circular economy. Subsequently, the paper presents a device-based proposal to validate the sustainability principles indicated in the Smart Economy, focusing exclusively on the areas of health and mobility. As a whole, the work concludes with the need to incorporate sustainability criteria into economic ambition so that technological developments have a place in future Smart Cities.

A Smart Mobile Application to Monitor Visual Function in Diabetic Retinopathy and Age-Related Macular Degeneration: The CLEAR Study

PURPOSE

The purpose of this study was to determine if a mobile application, the Checkup Vision Assessment System, could reliably monitor visual acuity (VA) and metamorphopsia remotely versus standard VA reference tests in the clinic. With the current COVID-19 pandemic, an even greater need for remote monitoring exists. Mobile tools enhance the ability to monitor patients virtually by enabling remote monitoring of VA and Amsler grid findings.

DESIGN

Prospective, multicenter reliability analysis.

METHODS

Participants: Patients (N = 108) with near corrected VA better than 20/200 and a diagnosis of age-related macular degeneration, diabetic retinopathy, or healthy patients without retinal disease (best-corrected visual acuity [BCVA] of 20/32 or better).

INTERVENTION

participants were tested using the Checkup, reference VA, and Amsler tests, with the order of testing (Checkup or reference) randomized. Patients monitored their vision using Checkup at least twice a week at home between office visits. Main outcome measurements were near corrected VA and Amsler grid test results.

RESULTS

Agreement was strong between Checkup and reference tests for VA (r = 0.86) and Amsler grid (sensitivity: 93%; specificity: 92%). Home versus clinic testing showed excellent agreement (r = 0.96). Patients reported successful home use. There were no serious adverse events or discontinuations. Patients rated the usability of Checkup to be excellent.

CONCLUSIONS

There was good agreement between Checkup and in-clinic test results for VA and Amsler grid. The low variance of Checkup testing, agreement between in-clinic and home results, and excellent usability support Checkup as a reliable method for monitoring retinal pathology in clinic and home settings.

E-diary use in clinical headache practice: A prospective observational study

Aim

To determine whether our E-diary can be used to diagnose migraine and provide more reliable migraine-related frequency numbers compared to patients’ self-reported estimates.

Methods

We introduced a self-developed E-diary including automated algorithms differentiating headache and migraine days, indicating whether a patient has migraine. Reliability of the E-diary diagnosis in combination with two previously validated E-questionnaires was compared to a physician’s diagnosis as gold standard in headache patients referred to the Leiden Headache Clinic (n = 596). In a subset of patients with migraine (n = 484), self-estimated migraine-related frequencies were compared to diary-based results.

Results

The first migraine screening approach including an E-headache questionnaire, and the E-diary revealed a sensitivity of 98% and specificity of 17%. In the second approach, an E-migraine questionnaire was added, resulting in a sensitivity of 79% and specificity of 69%. Mean self-estimated monthly migraine days, non-migrainous headache days and days with acute medication use were different from E-diary-based results (absolute mean difference ± standard deviation respectively 4.7 ± 5.0, 6.2 ± 6.6 and 4.3 ± 4.8).

Conclusion

The E-diary including algorithms differentiating headache and migraine days showed usefulness in diagnosing migraine. The use emphasised the need for E-diaries to obtain reliable information, as patients do not reliably recall numbers of migraine days and acute medication intake. Adding E-diaries will be helpful in future headache telemedicine.

Voice Interface Technology Adoption by Patients With Heart Failure: Pilot Comparison Study

Background

Heart failure (HF) is associated with high mortality rates and high costs, and self-care is crucial in the management of the condition. Telehealth can promote patients’ self-care while providing frequent feedback to their health care providers about the patient’s compliance and symptoms. A number of technologies have been considered in the literature to facilitate telehealth in patients with HF. An important factor in the adoption of these technologies is their ease of use. Conversational agent technologies using a voice interface can be a good option because they use speech recognition to communicate with patients.

Objective

The aim of this paper is to study the engagement of patients with HF with voice interface technology. In particular, we investigate which patient characteristics are linked to increased technology use.

Methods

We used data from two separate HF patient groups that used different telehealth technologies over a 90-day period. Each group used a different type of voice interface; however, the scripts followed by the two technologies were identical. One technology was based on Amazon’s Alexa (Alexa+), and in the other technology, patients used a tablet to interact with a visually animated and voice-enabled avatar (Avatar). Patient engagement was measured as the number of days on which the patients used the technology during the study period. We used multiple linear regression to model engagement with the technology based on patients’ demographic and clinical characteristics and past technology use.

Results

In both populations, the patients were predominantly male and Black, had an average age of 55 years, and had HF for an average of 7 years. The only patient characteristic that was statistically different (P=.008) between the two populations was the number of medications they took to manage HF, with a mean of 8.7 (SD 4.0) for Alexa+ and 5.8 (SD 3.4) for Avatar patients. The regression model on the combined population shows that older patients used the technology more frequently (an additional 1.19 days of use for each additional year of age; P=.004). The number of medications to manage HF was negatively associated with use (−5.49; P=.005), and Black patients used the technology less frequently than other patients with similar characteristics (−15.96; P=.08).

Conclusions

Older patients’ higher engagement with telehealth is consistent with findings from previous studies, confirming the acceptability of technology in this subset of patients with HF. However, we also found that a higher number of HF medications, which may be correlated with a higher disease burden, is negatively associated with telehealth use. Finally, the lower engagement of Black patients highlights the need for further study to identify the reasons behind this lower engagement, including the possible role of social determinants of health, and potentially create technologies that are better tailored for this population.

May Measurement Month 2017-2019: A Community-Wide Opportunistic Blood Pressure Screening Campaign in Hong Kong

Introduction

Hypertension is a modifiable risk factor for multiple cardiovascular diseases. Early identification and intervention of new cases are crucial to improve patients' outcomes. May Measurement Month (MMM) is an annual global synchronised blood pressure (BP) screening campaign. Participants can have their BP measured at the screening sites. It may be a possible way to identify undiagnosed hypertensive patients in the population.

Methods

It was a cross-sectional study of BP among Hong Kong adults. Multiple screening sites were set in local community pharmacies and on the campus of the Chinese University of Hong Kong. Participants were asked to fill in a questionnaire regarding their demographics, medical history, and social history. Then, they took at least one BP reading using an automated sphygmomanometer after sitting at for 5 minutes. Up to three BP readings were taken and recorded for each participant, with one-minute intervals between readings.

Results

A total of 3224 adults participated in MMM between 2017 and 2019. The average BP among the 3224 participants was 139.8/75.5 mmHg. The prevalence of hypertension was 2282 (70.8%), of which 635 (27.8%) were undiagnosed before MMM. Among the 1647 participants previously diagnosed with hypertension, 1007 (61.1%) had uncontrolled hypertension.

Conclusion

A high number of cases can be identified with untreated, or treated but uncontrolled, hypertension from MMM. Citizens should be encouraged to check BP regularly and take follow-up actions if hypertension is suspected.

Effects of Activity Tracker Use With Health Professional Support or Telephone Counseling on Maintenance of Physical Activity and Health Outcomes in Older Adults: Randomized Controlled Trial

BACKGROUND

Despite a range of efforts to increase physical activity participation in Australia, inactivity levels in older adults have remained high over recent decades, contributing to increased rates of chronic health conditions. Lifestyle interventions, including telephone counseling (TC), improve physical activity participation and associated health outcomes over the short term; however, ongoing feedback and support is required to maintain these changes. Newer technologies such as wearable activity trackers (ATs) may offer an alternative method for providing ongoing support.

OBJECTIVE

This study aims to investigate whether newer technologies such as wearable ATs assist in providing ongoing support to maintain physical activity levels and health outcomes.

METHODS

Older adults aged >60 years who had just completed a 12-week face-to-face individualized community exercise program in Tasmania, Australia, participated in the study. They were randomized to receive AT, TC, or usual care (UC). All groups received a home exercise program and an optional referral to a community-based exercise program. The AT group also received an AT and text message feedback from an accredited exercise physiologist (AEP). The TC group received phone calls from an AEP throughout the 12-month intervention. The primary outcome was daily steps measured by an ActivPAL (TM) accelerometer at baseline and at 3, 6, and 12 months. Secondary outcome measures included body composition, blood pressure, 10-time sit-to-stand (TTSTS) test, timed up and go test, and cardiorespiratory fitness. This trial was approved by the Tasmanian Health and Medical Human Research Ethics Committee (H0014713).

RESULTS

A total of 117 participants were randomized to the study (AT, n=37; TC, n=38; UC, n=42). At baseline, the participants (75/117, 64.1% female; mean age 72.4 years, SD 6.4) completed an average of 6136 steps (SD 2985) per day. Although there were no significant differences between groups, the TC and AT groups maintained daily step counts (mean difference [MD] -79 steps, 95% CI -823 to 663 steps; P=.81; and MD -588 steps, 95% CI -1359 to 182 steps; P=.09), and UC showed a reduction in daily steps (MD 981 steps, 95% CI -1668 to -294 steps; P=.003) during the 12-month period. Diastolic blood pressure was significantly higher after AT than after UC (MD 5.62 mm Hg, 95% CI 1.30 to 9.94 mm Hg; P=.01), and TTSTS was significantly slower on TC compared with UC (MD 2.36 seconds, 95% CI -0.14 to 4.87 seconds; P=.03).

CONCLUSIONS

The use of an AT with AEP support or TC is effective at maintaining daily step count in older adults over a 12-month period, suggesting that wearable ATs are as effective as TC. Further research to investigate which option is more cost-effective would be beneficial.

TRIAL REGISTRATION

Australian New Zealand Clinical Trial Registry ACTRN12615001104549; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=369118.

The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study

Background

Digital health stations offer an affordable and accessible platform for people to monitor their health; however, there is limited information regarding the demographic profile of users and the health benefits of this technology.

Objective

This study aimed to assess the demographic representativeness of health station users, identify the factors associated with repeat utilization of stations, and determine if the health status of repeat users changed between baseline and final health check.

Methods

Data from 180,442 health station users in Australia, including 8441 repeat users, were compared with 2014-2015 Australian National Health Survey (NHS) participants on key demographic and health characteristics. Binary logistic regression analyses were used to compare demographic and health characteristics of repeat and one-time users. Baseline and final health checks of repeat users were compared using McNemar tests and Wilcoxon signed rank tests. The relationship between the number of checks and final health scores was investigated using generalized linear models.

Results

The demographic profile of SiSU health station users differs from that of the general population. A larger proportion of SiSU users were female (100,814/180,442, 55.87% vs 7807/15,393, 50.72%), younger (86,387/180,442, 47.88% vs 5309/15,393, 34.49% aged less than 35 years), and socioeconomically advantaged (64,388/180,442, 35.68% vs 3117/15,393, 20.25%). Compared with NHS participants, a smaller proportion of SiSU health station users were overweight or obese, were smokers, had high blood pressure (BP), or had diabetes. When data were weighted for demographic differences, only rates of high BP were found to be lower for SiSU users compared with the NHS participants (odds ratio [OR] 1.26; P<.001). Repeat users were more likely to be female (OR 1.37; P<.001), younger (OR 0.99; P<.001), and from high socioeconomic status areas—those residing in socioeconomic index for areas quintiles 4 and 5 were significantly more likely to be repeat users compared with those residing in quintile 1 (OR 1.243; P<.001 and OR 1.151; P<.001, respectively). Repeat users were more likely to have a higher BMI (OR 1.02; P<.001), high BP (OR 1.15; P<.001), and less likely to be smokers (OR 0.77; P<.001). Significant improvements in health status were observed for repeat users. Mean BMI decreased by 0.97 kg/m2 from baseline to final check (z=−14.24; P<.001), whereas the proportion of people with high BP decreased from 15.77% (1080/6848) to 12.90% (885/6860; χ²₁=38.2; P<.001). The proportion of smokers decreased from 11.91% (1005/8438) to 10.13% (853/8421; χ²₁=48.4; P<.001). Number of repeat health checks was significantly associated with smoking status (OR 0.96; P<.048) but not with higher BP (P=.14) or BMI (P=.23).

Conclusions

These findings provide valuable insight into the benefits of health stations for self-monitoring and partially support previous research regarding the effect of demographics and health status on self-management of health.

A self-management support intervention for patients with atrial fibrillation: a randomized controlled pilot trial

BACKGROUND

Atrial fibrillation (AF) is the most common arrhythmia worldwide. Despite effective treatment, it is characterized by frequent recurrences. Optimal therapeutic management of AF requires active participation and self-management from patients. Two major components of self-management are self-monitoring and sign-and-symptom management. Pulse self-palpation (PSP) is a method of self-monitoring; however, not all AF patients are capable of successfully performing PSP. Due to a lack of interventions on this topic, a nurse-led intervention for patients with AF (PSPAF intervention) was developed to foster self-monitoring and to enhance self-management through PSP. The purpose of this pilot study was to test the acceptability, feasibility, and potential effects of this intervention on the capability of patients' PSP and sign-and-symptom management. Moreover, we aimed at gathering data on the feasibility of applied research methods to aid in the design of future studies.

METHODS

The pilot trial involved 20 adult patients with AF, randomized to an intervention or usual care group. At baseline and during a home visit 3-5 weeks later, we collected data using questionnaires, checklists, field notes, a mobile ECG device, and a diary. Acceptability and feasibility measures were validated through predefined cut-off points. Effect size estimates were expressed as relative risks (RR) and the number needed to treat (NNT).

RESULTS

The PSPAF intervention seemed feasible, but only partly acceptable. There were limitations in terms of potential effectiveness, suitability, addressing participants' willingness to implement its content in daily life, and adherence. Estimations of effect sizes suggest a large effect of the intervention on patients' PSP capability (RR = 6.0; 95% CI = [0.83, 43.3]; NNT = 2.4), but almost no effect on sign-and-symptom management (RR = 1.5; 95% CI = [0.7, 3.1]; NNT = 4.0). The feasibility of applied research methods showed minor limitations on recruitment and participant burden.

CONCLUSIONS

Despite some limitations, the intervention seemed to be applicable and promising. Taking into account the suggestions and amendments we have made, we recommend conducting a full-scale trial to examine the efficacy of the PSPAF intervention.

TRIAL REGISTRATION

This pilot study was registered in the German Clinical Trials Register at September 4, 2017 (Main ID: DRKS00012808).

Chronic patients' satisfaction and priorities regarding medical care, information and services and quality of life: a French online patient community survey

BACKGROUND

The French healthcare system is evolving to meet the challenges of an aging population, the growing prevalence of chronic diseases, the development of new technologies and the increasing involvement of patients in the management of their disease. The aim of this study is to assess the satisfaction and priorities of chronic patients regarding medical care, information and services and their quality of life.

METHODS

A cross-sectional study was conducted from February to March 2018 via the French Carenity platform. Adult patients enrolled in type 1 diabetes, heart failure or obesity communities were invited to answer an online questionnaire. A numeric scale from 0 (meaning not satisfied) to 5 was used to evaluate patients' satisfaction. Patients' priorities were assessed using a ranking question. Patients' satisfaction and priorities have been combined in a matrix to identify patients' expectations.

RESULTS

Sixty-seven respondents of each condition answered a questionnaire. The most important and least satisfactory items about medical care are availability and active listening from healthcare providers, as well as access to coordinated and multidisciplinary care. Regarding information and services, respondents mostly expect connected medical devices, in addition to lifestyle and dietary measures. As for the quality of life, respondents fear that their chronic condition will keep impacting their daily mood and ability to do physical activities.

CONCLUSIONS

This study shows that chronic patients want to be more actively involved in their care pathway. Patient training and therapeutic patient education programs could help them manage their chronic conditions within a patient-centred healthcare system.

Formative evaluation of a dashboard to support coproduction of healthcare services in cystic fibrosis

BACKGROUND

Healthcare coproduction engages patients and clinicians to design and execute services, yet little is known about tools that facilitate coproduction. Our objective was to understand uptake, experiences, benefits, and limitations of a dashboard to support patient-clinician partnerships within the cystic fibrosis (CF) community.

METHODS

People living with CF (PwCF) and clinicians co-designed a dashboard that displayed patient-reported and clinical data. Eight CF programmes, including 21 clinicians, and 131 PwCF participated in a pilot study of the dashboard. We conducted descriptive statistics and thematic analyses of surveys (82 PwCF; 21 clinicians); semi-structured interviews (13 PwCF; 8 care teams); and passively-collected usage data.

RESULTS

Two-thirds of the 82 PwCF used the dashboard during a visit, and 59% used it outside a visit. Among 48 PwCF using the dashboard outside the clinic, 92% viewed their health information and 46% documented concerns or requests. Most of the 21 clinicians used the dashboard to support visit planning (76%); fewer used it during a visit (48%). The dashboard supported discussions of what matters most (69% PwCF; 68% clinicians). Several themes emerged: access to patient outcomes data allows users to learn more deeply; participation in pre-visit planning matters; coproduction is made possible by inviting new ways to partner; and lack of integration with existing information technology (IT) systems is limiting.

CONCLUSIONS

A dashboard was feasible to implement and use. Future iterations should provide patients access to their data, be simple to use, and integrate with IT systems in use by clinicians and PwCF.

Patient and caregiver contributions to self-care in multiple chronic conditions: A multilevel modelling analysis

BACKGROUND

Multiple chronic conditions (MCC) are highly prevalent worldwide, especially among older populations. Patient self-care and care partner (or caregiver) contributions to self-care are recommended to reduce the impact of MCC and improve patients' outcomes.

OBJECTIVES

To describe patient self-care and care partner contributions to self-care and to identify determinants of patient self-care and care partner contributions to self-care at the patient and care partner level.

DESIGN

Multicentre cross-sectional study.

SETTING

Outpatient and community settings in Italy.

PARTICIPANTS

A sample of 340 patients with MCC and care partner dyads was recruited between 2017 and 2018.

METHODS

We measured patient's self-care and care partner contributions to self-care in dyads using the Self-care of Chronic Illness Inventory and the Caregiver Contribution to Self-care of Chronic Illness Inventory. To control for dyadic interdependence, we performed a multilevel modelling analysis.

RESULTS

Patients' and care partners' mean ages were 76.65 (± 7.27) and 54.32 (± 15.25), respectively. Most care partners were female and adult children or grandchildren. The most prevalent chronic conditions in patients were diabetes (74%) and heart failure (34%). Patients and care partners reported higher levels of self-care monitoring than self-care maintenance and management behaviours. Important patient clinical determinants of self-care included cognitive status, number of medications and type of chronic condition. Care partner determinants of self-care contributions included age, gender, education, perceived income, care partner burden, caregiving hours per week and the presence of a secondary care partner.

CONCLUSIONS

Our findings support the importance of taking a dyadic approach when focusing on patients with MCC and their care partners. More dyadic longitudinal research is recommended to reveal the modifiable determinants of self-care and the complex relationships between patients and care partners in the context of MCC.

Patient self-testing in chronic disease management

Chronic disease poses a major burden to patients and health care systems. This review considers how patient self-testing can contribute to the management of chronic disease. Self-testing can only confer benefit if it occurs in the context of an empowered patient who has the skills and training to translate test results into meaningful actions. The benefits may include improved clinical outcomes, greater patient convenience and improved psychological well-being; separately and together these may contribute to reduced costs of care. As self-testing may be expensive and burdensome to patients, it is important that its use in chronic disease is supported by a robust evidence base confirming its utility and efficacy. The design of studies to assess the impact of self-testing poses challenges for the researcher and the quality of evidence presented is often variable. Randomised controlled trials (RCTs) provide more robust evidence than observational studies; the intervention under study is not just self-testing but includes the educational support to allow patients to use results effectively. This review discusses the evidence base relating to patient self-testing in diabetes, anticoagulant monitoring and in renal transplant patients and in particular highlights the impact of new technology developments such as flash glucose monitoring in diabetes.

Anxiety, Incentives, and Adherence to Self-Monitoring on a Mobile Health Platform: A Naturalistic Longitudinal Cohort Study in People With Headache

OBJECTIVE

To evaluate factors associated naturalistically with adherence to a mobile headache diary.

BACKGROUND

Self-monitoring (keeping a headache diary) is commonly used in headache to enhance diagnostic accuracy and evaluate the effectiveness of headache therapies. Mobile applications are increasingly used to facilitate keeping a headache diary. Little is known about the factors associated with adherence to mobile headache diaries.

METHODS

In this naturalistic longitudinal cohort study, people with headache (n = 1561) registered to use Curelator Headache® (now called N1-Headache®), an application that includes a mobile headache diary, through their physician (coupon), or directly through the website or app store using either a paid or free version of the application. Participants completed baseline questionnaires and were asked to complete daily recordings of headache symptoms and other factors for at least 90 days. Baseline questionnaires included headache characteristics and migraine disability. Daily recordings included headache symptoms and anxiety ratings. Adherence to keeping the headache diary was conceptualized as completion (kept the headache diary for 90 days), adherence rate (proportion of diary days completed 90 days after registration), and completion delay (the number of days past 90 days after registration required to complete 90 days of headache diary).

RESULTS

The majority of participants reported migraine as the most common headache type (90.0%), and reported an average of 30.8 headache days/90 days (SD = 24.2). One-third of participants completed 90 days of headache diary (32.4%). Endorsing higher daily anxiety scores (8/10 OR = 0.97 [95% CI = 0.96, 0.99]; 10/10 OR = 0.96 [95% CI = 0.91, 0.99]) was associated with lower odds of completion, whereas higher age (OR = 1.04 [95% CI = 1.03, 1.05]), and downloading the app paid vs free (OR = 4.27 [95% CI = 2.62, 7.06]), paid vs coupon (OR = 2.43, 95% CI = 1.41, 4.26]), or through a physician coupon vs free (OR = 1.75 [95% CI = 1.27, 2.42]) were associated with higher odds of completion. The median adherence rate at 90 days was 0.34 (IQR = 0.10-0.88), indicating that half of participants kept 34 or fewer days 90 diary days after registration. Endorsing high daily anxiety scores (5/10 OR = 0.98 [95% CI = 0.97, 1.00]; 8/10 OR = 0.96 [95% CI = 0.94, 0.98]; 10/10 OR = 0.96 [9% CI = 0.92, 0.98]) and higher age (OR = 1.05 [95% CI = 1.04, 1.07]) were associated with lower odds of adhering at 90 days, whereas downloading the app paid vs free (OR = 9.63 [95% CI = 4.61, 25.51]), paid vs coupon (OR = 2.39, 95% CI = 1.27, 5.10]), or through a physician coupon vs free (OR = 4.01 [95% CI = 2.54, 7.26]) were associated with higher odds of adhering at 90 days. Among completers, the median completion delay was 6.0 days (IQR = 2.0-15.0). Among completers, endorsing high daily anxiety scores (9/10 OR = 1/06 [95% CI = 1.01, 1.12]) and younger age (OR = 0.98 [95% CI = 0.97, 1.00]) was associated with completion delay; downloading the app through physician coupon vs free (OR = 0.40 [95% CI = 0.22, 0.71]) or paid vs free (OR = 0.38 [95% CI = 0.20, 0.72]) was associated with lower odds of completing 90 diary days in 90 calendar days.

CONCLUSION

This naturalistic observational study confirmed evidence from clinical observation and research: adherence to mobile headache diaries is a challenge for a significant proportion of people with headache. Endorsing higher levels of daily anxiety, younger age, and downloading the app for free (vs either paying for the self-monitoring app or receiving a physician referral coupon) were associated with poorer adherence to keeping a mobile headache diary.

Digital diabetes: Perspectives for diabetes prevention, management and research

Digital medicine, digital research and artificial intelligence (AI) have the power to transform the field of diabetes with continuous and no-burden remote monitoring of patients' symptoms, physiological data, behaviours, and social and environmental contexts through the use of wearables, sensors and smartphone technologies. Moreover, data generated online and by digital technologies - which the authors suggest be grouped under the term 'digitosome' - constitute, through the quantity and variety of information they represent, a powerful potential for identifying new digital markers and patterns of risk that, ultimately, when combined with clinical data, can improve diabetes management and quality of life, and also prevent diabetes-related complications. Moving from a world in which patients are characterized by only a few recent measurements of fasting glucose levels and glycated haemoglobin to a world where patients, healthcare professionals and research scientists can consider various key parameters at thousands of time points simultaneously will profoundly change the way diabetes is prevented, managed and characterized in patients living with diabetes, as well as how it is scientifically researched. Indeed, the present review looks at how the digitization of diabetes can impact all fields of diabetes - its prevention, management, technology and research - and how it can complement, but not replace, what is usually done in traditional clinical settings. Such a profound shift is a genuine game changer that should be embraced by all, as it can provide solid research results transferable to patients, improve general health literacy, and provide tools to facilitate the everyday decision-making process by both healthcare professionals and patients living with diabetes.

mHealth Tools for the Self-Management of Patients With Multimorbidity in Primary Care Settings: Pilot Study to Explore User Experience

Background

Given the complex and evolving needs of individuals with multimorbidity, the adoption of mHealth tools to support self-management efforts is increasingly being explored, particularly in primary care settings. The electronic patient-reported outcomes (ePRO) tool was codeveloped with patients and providers in an interdisciplinary primary care team in Toronto, Canada, to help facilitate self-management in community-dwelling adults with multiple chronic conditions.

Objective

The objective of study is to explore the experience and expectations of patients with multimorbidity and their providers around the use of the ePRO tool in supporting self-management efforts.

Methods

We conducted a 4-week pilot study of the ePRO tool. Patients’ and providers’ experiences and expectations were explored through focus groups that were conducted at the end of the study. In addition, thematic analyses were used to assess the shared and contrasting perspectives of patients and providers on the role of the ePRO tool in facilitating self-management. Coded data were then mapped onto the Individual and Family Self-Management Theory using the framework method.

Results

In this pilot study, 12 patients and 6 providers participated. Both patients and providers emphasized the need for a more explicit recognition of self-management context, including greater customizability of content to better adapt to the complexity and fluidity of self-management in this particular patient population. Patients and providers highlighted gaps in the extent to which the tool enables self-management processes, including how limited progress toward self-management goals and the absence of direct provider engagement through the ePRO tool inhibited patients from meeting their self-management goals. Providers highlighted proximal outcomes based on their experience of the tool and specifically, they indicated that the tool offered valuable insights into the broader patient context, which helps to inform the self-management approach and activities they recommend to patients, whereas patients recognized the tool’s potential in helping to improve access to different providers in a team-based primary care setting.

Conclusions

This study identifies a more explicit recognition of the contextual factors that influence patients’ ability to self-manage and greater adaptability to accommodate patient complexity and provider workflow as next steps in refining the ePRO tool to better support self-management efforts in primary care ahead of its application in a full-scale randomized pragmatic trial.