mHealth intervention to support asthma self-management in adolescents: the ADAPT study

Mobile health applications designed for self-management of chronic pulmonary diseases in children and adolescents: a systematic mapping review

OBJECTIVE

Mobile health (mHealth) applications are scarce for children and adolescents with chronic pulmonary diseases (CPDs). This study aimed to map and describe the contents of the mHealth apps available for use in children and adolescents with CPDs.

METHODS

We performed a systematic mapping review of published scientific literature in PubMed, Scopus, and Cochrane Library by February of 2023, using relevant keywords. Inclusion criteria were as follows: children aged < 18 years with CPDs; and studies published in English on mHealth apps.

RESULTS

A total number of 353 studies were found, 9 of which met the inclusion criteria. These studies described seven mHealth apps for Android and iOS, designed either for asthma (n = 5) or for cystic fibrosis (n = 2). Five content areas were identified: education/information; pharmacological treatment; emergency; support; and non-pharmacological treatment. The studies (4, 2, and 3, respectively) showed consistent findings using qualitative, quantitative, and mixed methodologies.

CONCLUSIONS

This mapping review provided a guided selection of the most appropriate mHealth apps for use in children and adolescents with CPDs based on the needs of each target population. However, these mHealth apps have limited capabilities to reinforce disease self-management and provide information related to treatment compliance.

Developments in respiratory self-management interventions over the last two decades

This paper describes developments in the fields of asthma and COPD self-management interventions (SMIs) over the last two decades and discusses future directions. Evidence around SMIs has exponentially grown. Efficacy on group level is convincing and both asthma and COPD SMIs are currently recommended by respiratory guidelines. Core components of asthma SMIs are defined as education, action plans, and regular review, with some discussion about self-monitoring. Exacerbation action plans are defined as an integral part of COPD management. Patient's adherence to SMI's is however inadequate and significantly reducing the intervention's impact. Adherence could be improved by tailoring of SMIs to patients' needs, health beliefs, and capabilities; the use of shared decision making; and optimising the communication between patients and health care providers. Due to the COVID-19 pandemic, digital health innovations have rapidly been introduced and expanded. Digital technology use may increase efficiency, flexibility, and efficacy of SMIs. Furthermore, artificial intelligence can be used to e.g., predict exacerbations in action plans. Research around digital health innovations to ensure evidence-based practice is of utmost importance. Current implementation of respiratory SMIs is not satisfactory. Implementation research should be used to generate further insights, with cost-effectiveness, policy (makers), and funding being significant determinants.

Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps

Personal digital health apps for managing diabetes should include functions that enable the provision of pharmaceutical care services and allow within-app communication with pharmacists and other healthcare providers, thereby improving patient outcomes. The primary aim of this study was to assess the functions of diabetes apps that were relevant to providing pharmaceutical care services (i.e., medication management, adherence, non-pharmacological management, interoperability, and communication). Sixteen criteria related to pharmaceutical care were developed and then used to assess ten popular diabetes apps. The highest numbers of pharmaceutical care criteria were met by the apps Diabetes:M and mySugr (11 criteria); Contour™Diabetes, Dario Health, and OneTouch Reveal^® (ten); and DiabetesConnect and ESYSTA (nine); followed by Glucose Buddy (eight), meala (seven), and lumind (three). The most prevalent functions were related to promoting adherence and non-pharmacological management, but most criteria relevant to medication management were lacking. Five apps allowed within-app communication between patients and healthcare professionals (HCPs); however, no app included communication with pharmacists. High-quality diabetes apps are powerful tools to support pharmaceutical care and remotely monitor diabetes patients. Improvements are needed as they often lack many medication management functions, including within-app communication with HCPs (especially pharmacists). To maximize diabetes app use and improve outcomes, app developers should consider including pharmacists alongside other healthcare providers when customizing app designs.

Digital interventions to improve adherence to maintenance medication in asthma

BACKGROUND

Asthma is the most common chronic lung condition worldwide, affecting 334 million adults and children globally. Despite the availability of effective treatment, such as inhaled corticosteroids (ICS), adherence to maintenance medication remains suboptimal. Poor ICS adherence leads to increased asthma symptoms, exacerbations, hospitalisations, and healthcare utilisation. Importantly, suboptimal use of asthma medication is a key contributor to asthma deaths. The impact of digital interventions on adherence and asthma outcomes is unknown.

OBJECTIVES

To determine the effectiveness of digital interventions for improving adherence to maintenance treatments in asthma.

SEARCH METHODS

We identified trials from the Cochrane Airways Trials Register, which contains studies identified through multiple electronic searches and handsearches of other sources. We also searched trial registries and reference lists of primary studies. We conducted the most recent searches on 1 June 2020, with no restrictions on language of publication. A further search was run in October 2021, but studies were not fully incorporated.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) including cluster- and quasi-randomised trials of any duration in any setting, comparing a digital adherence intervention with a non-digital adherence intervention or usual care. We included adults and children with a clinical diagnosis of asthma, receiving maintenance treatment.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures for data collection. We used GRADE to assess quantitative outcomes where data were available.

MAIN RESULTS

We included 40 parallel randomised controlled trials (RCTs) involving adults and children with asthma (n = 15,207), of which eight are ongoing studies. Of the included studies, 30 contributed data to at least one meta-analysis. The total number of participants ranged from 18 to 8517 (median 339). Intervention length ranged from two to 104 weeks. Most studies (n = 29) reported adherence to maintenance medication as their primary outcome; other outcomes such as asthma control and quality of life were also commonly reported. Studies had low or unclear risk of selection bias but high risk of performance and detection biases due to inability to blind the participants, personnel, or outcome assessors. A quarter of the studies had high risk of attrition bias and selective outcome reporting. We examined the effect of digital interventions using meta-analysis for the following outcomes: adherence (16 studies); asthma control (16 studies); asthma exacerbations (six studies); unscheduled healthcare utilisation (four studies); lung function (seven studies); and quality of life (10 studies). Pooled results showed that patients receiving digital interventions may have increased adherence (mean difference of 14.66 percentage points, 95% confidence interval (CI) 7.74 to 21.57; low-certainty evidence); this is likely to be clinically significant in those with poor baseline medication adherence. Subgroup analysis by type of intervention was significant (P = 0.001), with better adherence shown with electronic monitoring devices (EMDs) (23 percentage points over control, 95% CI 10.84 to 34.16; seven studies), and with short message services (SMS) (12 percentage points over control, 95% CI 6.22 to 18.03; four studies). No significant subgroup differences were seen for interventions having an in-person component versus fully digital interventions, adherence feedback, one or multiple digital components to the intervention, or participant age. Digital interventions were likely to improve asthma control (standardised mean difference (SMD) 0.31 higher, 95% CI 0.17 to 0.44; moderate-certainty evidence) - a small but likely clinically significant effect. They may reduce asthma exacerbations (risk ratio 0.53, 95% CI 0.32 to 0.91; low-certainty evidence). Digital interventions may result in a slight change in unscheduled healthcare utilisation, although some studies reported no or a worsened effect. School or work absence data could not be included for meta-analysis due to the heterogeneity in reporting and the low number of studies. They may result in little or no difference in lung function (forced expiratory volume in one second (FEV₁)): there was an improvement of 3.58% predicted FEV₁, 95% CI 1.00% to 6.17%; moderate-certainty evidence); however, this is unlikely to be clinically significant as the FEV₁ change is below 12%. Digital interventions likely increase quality of life (SMD 0.26 higher, 95% CI 0.07 to 0.45; moderate-certainty evidence); however, this is a small effect that may not be clinically significant. Acceptability data showed positive attitudes towards digital interventions. There were no data on cost-effectiveness or adverse events. Our confidence in the evidence was reduced by risk of bias and inconsistency.

AUTHORS' CONCLUSIONS

Overall, digital interventions may result in a large increase in adherence (low-certainty evidence). There is moderate-certainty evidence that digital adherence interventions likely improve asthma control to a degree that is clinically significant, and likely increase quality of life, but there is little or no improvement in lung function. The review found low-certainty evidence that digital interventions may reduce asthma exacerbations. Subgroup analyses show that EMDs may improve adherence by 23% and SMS interventions by 12%, and interventions with an in-person element and adherence feedback may have greater benefits for asthma control and adherence, respectively. Future studies should include percentage adherence as a routine outcome measure to enable comparison between studies and meta-analysis, and use validated questionnaires to assess adherence and outcomes.

The effectiveness of user-focused mobile health applications in paediatric chronic disease management: A systematic review

PROBLEM

This systematic review aims to evaluate the effectiveness of user-focused mobile health (mHealth) applications in paediatric chronic disease management.

ELIGIBILITY CRITERIA

Articles were included under the Population Intervention Comparator Outcome Study (PICOS) design framework for (P) children with a chronic disease, (I) mHealth user-focused apps, (C) usual care/control groups, (O) health outcomes related to chronic diseases, and (S) randomised controlled trials. This study followed the guidelines provided by Cochrane, Preferred Reporting Items for Systematic Reviews and Meta-Analysis, and Mobile Health Evidence Reporting and Assessment.

SAMPLE

A comprehensive literature search screening was conducted via CINAHL, PubMed, CENTRAL, ELSEVIER, SAGE, Science Direct, Scopus, Taylor Francis, WoS, and IEEE XPLORE from inception to November 15, 2020.

RESULTS

The review included seven articles, which combined provided data for a total of 755 children. The effects of the mHealth applications on the investigated 31 unique outcomes of five chronic paediatric diseases were mixed, ranging from effective to no effect. The risk of bias in the included studies was mostly either high or concerning according to Risk of Bias tool 2.0. The mobile apps that were evaluated were not standalone apps but were designed to interact with and provide data to healthcare providers.

CONCLUSION

Some mHealth interventions in this systematic review produced clinically meaningful and statistically relevant reductions in health outcomes related to chronic disease management. However, based on the available data, it is not possible to make definitive conclusions concerning the preferred target population of the interventions.

IMPLICATION

mHealth apps may be beneficial in improving selected patient outcomes in chronic disease management. Our results may assist the digital health services of hospitals, paediatric nurses who are interested in mHealth, and children who have a chronic disease.

Visualizing the knowledge domains and research trends of childhood asthma: A scientometric analysis with CiteSpace

BACKGROUND

Asthma is one of the most common chronic diseases in children globally. In recent decades, advances have been made in understanding the mechanism, diagnosis, treatment and management for childhood asthma, but few studies have explored its knowledge structure and future interests comprehensively.

OBJECTIVE

This scientometric study aims to understand the research status and emerging trends of childhood asthma.

METHODS

CiteSpace (version 5.8.R3) was used to demonstrate national and institutional collaborations in childhood asthma, analyze research subjects and journal distribution, review research keywords and their clusters, as well as detect research bursts.

RESULTS

A total of 14,340 publications related to childhood asthma were extracted from Web of Science (core database) during January 2011 to December 2021. The results showed that academic activities of childhood asthma had increased steadily in the last decade. Most of the research was conducted by developed countries while China, as a developing country, was also actively engaged in this field. In addition to subjects of allergy and immunology, both public health aspects and ecological environmental impacts on the disease were emphasized recently in this research field. Keywords clustering analysis indicated that research on asthma management and atopy was constantly updated and became the two major research focuses recently, as a significant shift in research hotspots from etiology and diagnosis to atopic march and asthma management was identified. Subgroup analysis for childhood asthma management and atopy suggested that caregiver- or physician-based education and interventions were emerging directions for asthma management, and that asthma should be carefully studied in the context of atopy, together with other allergic diseases.

CONCLUSIONS

This study presented a comprehensive and systematic overview of the research status of childhood asthma, provided clues to future research directions, and highlighted two significant research trends of asthma management and atopy in this field.

The effect of visual interventions on illness beliefs and medication adherence for chronic conditions: A scoping review of the literature and mapping to behaviour change techniques (BCTs)

BACKGROUND

Maintaining health with chronic conditions often involves taking multiple medications; however, approximately 50% of patients with chronic conditions are non-adherent to medication. Patients' illness beliefs inform health behaviour, including medication-taking. Research has shown that visuals accompanying health information increased patient comprehension and the accuracy of illness perceptions. To date, the influence of visuals on illness beliefs and medication adherence has not been comprehensively reviewed.

OBJECTIVES

The review aimed to collate available literature on visualisation interventions for illness beliefs and medication adherence in chronic conditions and identify key intervention characteristics.

METHODS

A scoping review was conducted according to recommended guidelines and the PRISMA-ScR statement. Searches used keywords relating to 'illness', 'visual', 'adherence', 'illness perception', 'intervention', and 'medication'. Six databases were searched from inception to 2019; reference-list searching provided additional articles. Articles were included if the study population had a chronic health condition, the intervention included a visual element, had a measure of illness beliefs or medication adherence. Data regarding intervention characteristics and outcomes were extracted. Behaviour change techniques (BCTs) were identified to provide further insight into intervention characteristics.

RESULTS

Initially, 18,012 articles were identified. Screening led to 293 full-text articles, ultimately resulting in 45 studies for final analysis. Forty-four were quantitative studies, 1 was qualitative. Studies were grouped into those using visuals to conceptualise a condition, medication reminders and educational interventions. Almost two-thirds of visual interventions were effective post-intervention, 3 sustained post-1-year, although many studies only assessed impact immediately post-intervention. BCTs from 'Natural consequences', 'Socialsupport' and 'Feedback and monitoring' categories were prevalent in effective interventions for both outcomes, particularly the 'Salience of consequences' BCT.

CONCLUSIONS

This comprehensive scoping review found that visual interventions can positively influence illness beliefs and medication adherence. These findings highlight the need to further evaluate the impact and sustainability of visual interventions.

Effectiveness of mHealth-Safe Kids Hospital for the prevention of hospitalized children safety incidents: A randomized controlled trial

BACKGROUND

Preschool-age children in hospitals are at a high risk of unexpected incidents. Safety incidents in hospitals can cause serious damage to the children.

OBJECTIVE

To determine the effectiveness of the mobile-type mHealth Safe Kids Hospital (SKH) application (app) for the prevention of hospitalized child safety incidents.

DESIGN

This study used a three-group, randomized controlled trial pre-post design.

SETTING(S)

This study was conducted in the pediatric ward of three general hospitals in Korea.

PARTICIPANTS

A total of 124 eligible hospitalized children and their caregivers were enrolled in the study from June to December 2018. Of these, 116 finally participated in the study, and 8 were excluded because they were discharged before the intervention.

METHODS

Hospitalized preschool-age children and their caregivers were randomly allocated into three groups: experimental group I (n = 39), experimental group II (n = 39), and the control group (n = 38). Experimental group I received the SKH app intervention, the experimental group II received a paper-based intervention, whereas the control group received the usual intervention. Participants' outcomes of awareness, knowledge, and behavior related to hospital safety, were assessed at two time points: baseline and 24 h after the intervention.

RESULTS

Hospital safety awareness had a higher increase after intervention in experimental groups I and II than in the control group. Among the four subdomains of hospital safety awareness, there was a significant increase in the scores of experimental group I on three subdomains after the intervention: falls (F = 8.19, p < 0.001), burns (F = 6.73, p = 0.002), and medical devices (F = 6.81, p = 0.002). In hospital safety knowledge and safety behavior, experimental group I had the highest average score after the intervention compared with experimental group II and the control group; however, there was no statistically significant difference in the average score of the three groups.

CONCLUSIONS

Using the SKH app is easy to attract the interest of preschool-age children and is also easy for nurses to use in clinical trials; thus, it is considered to be a useful educational intervention to prevent safety incidents in clinical fields in future.

CLINICAL RELEVANCE

It is thought to contribute to the prevention of preschool-age children's safety incidents in pediatric wards.

Mobile health apps use among Jordanian outpatients: A descriptive study

Our purpose in this descriptive cross-sectional study was to examine the prevalence of mobile health (mHealth) apps use, factors associated with downloading mHealth apps, and to describe characteristics of mHealth apps use among Jordanian patients in government-sponsored outpatient clinics. A total of 182 (41.6%) of the 438 outpatients who completed questionnaires downloaded mHealth apps. Common reasons for downloading mHealth apps included tracking physical activity, losing weight, learning exercises, as well as monitoring, and controlling diet. More than two thirds of the users (70%) stopped using the apps they downloaded due to loss of interest, lack of anticipated support, too time consuming, or better apps available. The most common personal reasons for never downloading mHealth apps were lack of interest, in good health, and the most common technical reasons included a limited data plan, lack of trust, cost, and complexity of the apps. We also found that gender, age, weight, and educational level influenced the decision whether to download mHealth apps or not. We have shown the potential in mHealth apps use among Jordanian patients is promising, and health care systems must adopt this technology as well as work through population needs and preferences to supply it.

Features and diversity of symptoms of moyamoya disease in adolescents: A cluster analysis

AIMS

The purpose of this study is to explore the symptoms experienced by adolescents with moyamoya disease and to identify the characteristics of each symptom cluster associated with moyamoya disease.

DESIGN

A retrospective and descriptive design, which is a secondary data analysis study based on electronic medical record data from hospitals.

METHODS

To assess the symptoms associated with moyamoya disease, a qualitative study was conducted on 12 adolescents, 12 caregivers and 12 experts on moyamoya disease. According to a qualitative study, 12 main symptoms (limb weakness, numbness, pins and needles, difficulty in speech, blurred vision, facial paralysis, hand tremors, involuntary movements, convulsions, dizziness, nausea/vomiting and headaches) were selected. Data were collected around these symptoms. The data collection was carried out through the Electronic Medical Record (EMR) data of 303 adolescents aged 13-19 who were diagnosed with moyamoya disease (ICD 10 Code: I67.5) between January 2010-December 2019 in a hospital in Seoul, South Korea. Cluster analysis was applied to identify symptom clusters with the hierarchical cluster agglomerative approach. We used the log-likelihood distance to measure the similarity of variables. Proximity between groups of variables was measured using the two-step method.

RESULTS

The physical symptoms experienced by adolescents with moyamoya disease were 'limb weakness' - the most common - followed by a 'headache,' 'difficulty in speech,' and 'nausea/vomiting.' A total of five symptom clusters were derived: cluster 1 was characterized by 'limb weakness'; cluster 2 participants were asymptomatic or experienced 'convulsions'; cluster 3 experienced 'difficulty in speech' and 'facial paralysis'; cluster 4 is prone to 'dizziness' and 'pins and needles'; and cluster 5 displays 'headaches' and 'nausea/vomiting'.

CONCLUSION

This study offers a multidimensional approach for identifying differences in clinical symptoms of moyamoya disease among adolescents.

IMPACT

These results will help provide interventions concerning the characteristics of the symptoms of moyamoya disease among adolescents.

New Concepts and Technological Resources in Patient Education and Asthma Self-Management

Asthma is a chronic disease that is associated with significant morbidity and mortality. In general, the use of technology resources or electronic health (e-health) has been shown to have beneficial effects on patients with asthma. E-health can impact a broad section of patients and can be cost-effective and associated with high patient satisfaction. E-health may enable remote delivery of care, as well as timely access to health care, which are some of the common challenges faced by patients with asthma. Web-based asthma self-management systems have been found to improve quality of life, self-reported asthma symptoms, lung function, reduction in asthma symptoms/exacerbations, and self-reported adherence for adults. Social media is commonly being used as a platform to disseminate information on asthma to increase public awareness. It can facilitate asthma self-management in a patient friendly manner and has shown to improve asthma control test scores as well as self-esteem. Text massages reminders can increase awareness regarding asthma treatment and control, thus potentially can improve adherence to medications and asthma outcome. Mobile health applications can support asthma self-management, improve a patient's quality of life, promote medication adherence, and potentially reduce the overall costs for asthma care. Inhaler trackers have shown to be beneficial to asthma outcome in various populations by improving adherence to asthma medications. Barriers such as physician financial reimbursement as well as licensing for rendering tele-healthcare services are important concerns. Other limitations of using technology resources in health care are related to liability, professionalism, and ethical issues such as breach of patient confidentiality and privacy. Additionally, there may be less face-to-face interaction and care of the patient when e-health is used.

ARIA digital anamorphosis: Digital transformation of health and care in airway diseases from research to practice

Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.

Measuring Medication Adherence Among Type 2 Diabetes: An Integrative Review

BACKGROUND AND PURPOSE

The literature indicates there is a lack of evidence of a standard for diabetes medication adherence (MA) measures. The purpose of this integrative review (IR) was to identify instruments appropriate to measure MA among adults with T2DM.

METHODS

The IR was conducted according to Whittemore and Knafl (2005) methodology. The databases CINAHL, OVID, PubMed, and Scopus were searched for manuscripts published between 2006 and 2016 using the keywords "adherence," "diabetes," "instrument," and "measure." Ten manuscripts reflecting the psychometric properties of twelve published instruments were reviewed.

RESULTS

The most commonly used instrument was the Morisky Medication Adherence 8 item. Reliability and validity varied among studies.

CONCLUSION

The findings suggest the need for continued psychometric testing of diabetes MA instruments.

Development of a Living Lab for a Mobile-Based Health Program for Korean-Chinese Working Women in South Korea: Mixed Methods Study

BACKGROUND

Korean-Chinese (KC) women make up the largest group of female migrants in South Korea. To prevent and manage chronic diseases in middle-aged KC women working full time, it is necessary to develop health promotion programs that utilize an online platform because such a platform would allow individuals to participate in health promotion interventions at their convenience.

OBJECTIVE

This study aimed to develop a living lab for a mobile-based health (LLm Health) program focused on improving the physical activity and cultural adaptation of KC women workers.

METHODS

We used a mixed methods design. Living lab principles were factored into the LLm Health program, including the use of multiple methods, user engagement, multistakeholder participants, real-life settings, and cocreation. The program was developed using the 4 steps of the intervention mapping method: needs assessment, setting of objectives, identification of intervention strategies, and intervention design. Needs assessment was conducted through a literature review, focus group interviews with a total of 16 middle-aged KC women, and an online survey related to health promotion of migrant workers given to 38 stakeholders. KC middle-aged women participated in the early stages of program development and provided the idea of developing programs and mobile apps to enhance physical activity and acculturation. The mobile app developed in the program was validated with the help of 12 KC women and 4 experts, including 3 nursing professors and a professor of physical education. They were asked to rate each item based on content, interface design, and technology on a 4-point scale using a 23-item Smartphone App Evaluation Tool for Health Care.

RESULTS

The LLm Health program comprised a 24-week walking program using Fitbit devices, the mobile app, and social cognitive interventions. The mobile app contained 6 components: a step counter, an exercise timer, an online chat function, health information, level of cardiovascular risk, and health status. The cultural aspects and lifestyles of KC women were accommodated in the entire process of program development. The content validity of the mobile app was found to be 0.90 and 0.96 according to the 12 KC women and 4 experts, respectively.

CONCLUSIONS

The mobile app was found to be valid and acceptable for KC women. The living lab approach was a useful strategy for developing a culturally adaptive LLm Health program for KC women workers, leading to their active participation in the overall research process, including needs assessment, program composition, and pre-evaluation.

The Perspectives of Adolescents and Young Adults on Adherence to Prophylaxis in Hemophilia: A Qualitative Study

PURPOSE

Adolescents and young adults (AYAs) with severe hemophilia use prophylaxis that requires a high level of adherence. The present study aimed to explore the underlying reason for adherence and non-adherence to prophylaxis in hemophilia from the perspective of AYAs.

PATIENTS AND METHODS

A qualitative study in Dutch AYAs with hemophilia (14-25 years) using prophylaxis was executed. Focus group interviews and individual interviews were recorded, transcribed, coded and analyzed using an iterative process. Member checking in three respondents was used to validate the potential model.

RESULTS

A total of 21 interviews were performed. Parental support decreased when AYAs gained more treatment responsibilities, which resulted in a higher risk for non-adherence. AYAs were weighing their potential bleeding risk per activity based on the wish to do what they prefer while also wanting to simultaneously feel safe. When bleeding with low impact on their daily life occurred, or when bleeding remained absent, AYAs felt safe and the perceived need for prophylaxis decreased.

CONCLUSION

The level of treatment responsibility per AYA and estimated risks per activity were the two main underlying reasons for (non-)adherence.

CLINICAL IMPLICATIONS

We suggest using a conversation technique to discuss adherence, especially during bleeding assessment visits.

The temporal order of fluctuations in atopic disease symptoms and attention-deficit/hyperactivity disorder symptoms: a time-series study in ADHD patients

In a recent meta-analysis, we found that atopic diseases, like asthma and allergic rhinitis, occur more frequently prior to the onset of attention-deficit/hyperactivity disorder (ADHD). Our aim was to determine the temporal order of the association between daily fluctuations in atopic disease symptoms and in ADHD symptoms in individual participants. In this observational study among 21 participants, age 7-16 years, we performed a replicated time-series analysis of symptom fluctuations in asthma and/or allergic rhinitis and ADHD. Data were collected through parents who filled in a daily online questionnaire during up to 50 days. In each individual, we investigated the temporal order of fluctuations in atopic disease symptoms and ADHD symptoms using a vector autoregressive (VAR) model while using sleep problems and medication use as covariates. For 16 out of 21 participants, we constructed a VAR model. For a majority of the participants, significant associations were detected between atopic disease symptoms and ADHD symptoms. The results were heterogeneous; the direction, sign, and timing of the relationship between ADHD, atopy, sleep problems, and medication use varied between individuals. This study provides additional evidence that the symptom expression of atopy and ADHD are related. However, the connection between both diseases in children is found to be heterogeneous within our study population.

Applying M-Health to Palliative Care: A Systematic Review on the Use of M-Health in Monitoring Patients With Chronic Diseases and its Transposition in Palliative Care

BACKGROUND

The major growth of mobile technologies in the recent years has led to the development of medical-monitoring applications, particularly on smartphones.

AIM

The aim of this study was to review the use of m-health in the monitoring of patients with chronic pathologies in order to consider what could be adapted for palliative care patients at home.

DESIGN

A systematic review of the English and French literature was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria.

DATE SOURCES

The review screened the following databases: PUBMED, SCOPUS, COCHRANE, SCIENCE DIRECT, SUDOC, and EM-Premium, screening studies published between 2008 and 2018. The selection of articles was done by the main investigator. All studies concerning the use of m-Health apps for patients with chronic diseases were included.

RESULTS

From the 337 selected publications, 8 systematic reviews and 14 original studies were included. The main uses of m-Health apps were biological and clinical monitoring (particularly concerning the symptoms) in 75% of the applications, disease self-management in 64% of the applications, and therapeutic patient education in 50% of the applications, with remote monitoring.

CONCLUSIONS

The development of an m-Health application could become a complementary monitoring tool during palliative care. However, it seems important to question the impact of technique in the professional-patient relationship and avoid the pitfalls of standardizing palliative care and reducing the patient to a "sick" health technician. A future step would then be to define which health-care professional would be in charge of this "m-monitoring."

A consumer designed smartphone app for young people with asthma: pilot of engagement and acceptability

Objective: This pilot aimed to test the engagement, acceptability, and usefulness of a goal-setting smartphone app, Kiss myAsthma, in young people with asthma.Methods: Young people aged 15-24 years old were invited to trial a smartphone app for asthma management. A mixed-methods approach combined quantitative analysis of self-report questionnaires and app usage log data with qualitative thematic analysis of open-ended questions at baseline and six weeks after downloading the app. App log data (pages visited, frequency of use and content of participants interaction, e.g.goals set, symptoms recorded) were analyzed.Results: Nine of 12 participants completed both baseline and six-week questionnaires. Participants reported high satisfaction with app content and usability (median score 5 out of 6 [range 4-6]) and rated the app highly on "feeling confident in my ability to manage my asthma." At six weeks there was a clinically significant change in asthma quality of life (e.g. Emotional Function domain score baseline: 4.7 [2.7-6.3], follow-up: 5.7 [4.7-6.7]; p = 0.043). Participants logged information about asthma severity, flare-ups and mood and tracked their symptoms with the app's History functionality. Five participants (42%) nominated goals and strategies and 3 participants (25%) entered data in the Inspiration section, a tool to support intrinsic motivation to manage asthma. Qualitative data aligned with quantitative results.Conclusions: This six-week pilot of the Kiss myAsthma app showed its potential to support self-management, quality of life and health behavior change in young people with asthma.

Drug utilisation among Dutch adolescents: a pharmacy prescription records study

BACKGROUND

Studies on adolescent drug use are scarce as most studies do not distinguish between children and adolescents. Therefore, we assessed overall drug use in adolescents.

METHODS

A retrospective cohort study was conducted using pharmacy dispensing records from 62 community pharmacies in the Netherlands. Dispensing records of the previous 5 years were extracted for adolescents (12-18 years).

RESULTS

The study population consisted of 47 421 adolescents who collected at least one medication prescription during adolescence (mean age 15.5±1.8 years; 48.9% males). Half of them collected dermatologicals (46.2% males; 52.3% females), followed by drugs for the respiratory system (43.4% males; 40.3% females) and anti-infectives for systemic use (31.3% males; 39.1% females). The percentage of males using dermatologicals slightly increased, while the percentage of female users decreased with age. The most prescribed active ingredient was methylphenidate.

CONCLUSIONS

These insights into adolescent drug use help us to better understand adolescent healthcare use.

TRIAL REGISTRATION NUMBER

Dutch trial register NTR5061.

Asthma control and quality of life in adolescents: The role of illness perceptions, medication beliefs, and adherence

Objective: Asthma control and quality of life (QoL) are important disease outcomes for asthma patients. Illness perceptions (cognitive and emotional representations of the illness) and medication beliefs have been found to be important determinants of medication adherence, and subsequently disease control and QoL in adults with asthma. In adolescents, this issue needs further elucidation. Therefore, the aim of this study was to explore the relationship between illness perceptions, medication beliefs, medication adherence, disease control, and QoL in adolescents with asthma.Methods: In this cross-sectional study, we used baseline data of adolescents with asthma (age 12-18 years) who participated in the ADolescent Adherence Patient Tool (ADAPT) study. Questionnaires were administrated online, and included sociodemographic variables and validated questionnaires measuring self-reported illness perceptions, medication beliefs, medication adherence, disease control, and QoL.Results: Data of 243 adolescents with asthma were available; age 15.1 ± 2.0 years and 53% females. More than half of these adolescents (62%; n = 151) reported to be non-adherent (Medication Adherence Report Scale ≤23) and 77% (n = 188) had uncontrolled asthma. There was a strong positive correlation between disease control and QoL (r = 0.74). All illness perceptions items were correlated with disease control and QoL, with the strongest correlation between 'identity' (symptom perception) and QoL (r=-0.66). Medication adherence was correlated to medication beliefs (r = 0.38), disease control (r = 0.23), and QoL (r = 0.14), whereas medication beliefs were only associated with adherence.Conclusions: Stimulating positive illness perceptions and medication beliefs might improve adherence, which in turn might lead to improved disease control and better QoL.

Potential normalization of an asthma mHealth intervention in community pharmacies: Applying a theory-based framework

BACKGROUND

Effective mobile health (mHealth) interventions have been developed to support patients with their medication use, however to date few are widely used in pharmacy practice. Normalization of an intervention is essential to have a population impact, which is defined as 'the process of getting a new intervention into routine practice'.

OBJECTIVE

The aim of this study was to assess the normalization potential of a complex mHealth intervention for adolescents with asthma (ADolescent Adherence Patient Tool; ADAPT) in community pharmacy practice.

METHODS

The Normalization Process Theory (NPT), a sociological action theory, was retrospectively applied to study the normalization potential of ADAPT. NPT explains factors that promote or hinder implementation, embedding, and integration of new interventions in clinical practice. Evaluation data (structured interviews and questionnaires) of 23 pharmacists who used the ADAPT intervention were used for this study.

RESULTS

Pharmacists understood the purpose of the ADAPT intervention and were prepared to undertake the necessary work of implementation. However changes at different levels are needed to support full normalization, such as changes in the intervention itself and changes in the pharmacist's work flow. The potential for normalization could also be enhanced by the use of product champions and appropriate reimbursement guidelines, to ensure uptake of the intervention by other pharmacists. Support from professional bodies for the use of mHealth could also promote normalization.

CONCLUSIONS

Normalization of mHealth is a complex continuous process. The ADAPT intervention has the potential to be normalized in community pharmacy practice, but full normalization would require changes in both daily pharmacy practice and reimbursement models.

Evaluation of a mobile health intervention to support asthma self-management and adherence in the pharmacy

Background Several effective mobile health (mHealth) interventions have been developed to support patients with their medication use, however hardly any is implemented in clinical practice. Process evaluations and user experiences are therefore important for further implementation. Objective To explore experiences, barriers, and facilitators of pharmacists and patients towards the use of the interactive ADolescent Adherence Patient Tool (ADAPT). In addition, the perceptions of pharmacists towards mHealth interventions in general were explored. Setting Dutch community pharmacies. Methods Pharmacists (N = 24) and adolescent asthma patients (N = 87; age 12–18) completed a questionnaire about the ADAPT intervention. Pharmacists who did not have access to the ADAPT intervention (N = 26) completed a questionnaire on their perceptions towards mHealth. Main outcome measure Experiences, barriers, and facilitators of pharmacists and patients. Results Most patients (78%) would recommend the ADAPT intervention to others, and thought that the pharmacy was the right place for mHealth aiming to support adherence (63%). The possibility to monitor asthma symptoms was highly appreciated by patients and pharmacists. Pharmacists were satisfied with ADAPT intervention (96%), and using the intervention was not time consuming (91%). The ADAPT intervention promoted contact with patients (74%) and facilitated the healthcare providing role of pharmacists (83%). Pharmacists who did not have access to the ADAPT intervention mentioned time constraints and funding as main barriers for using mHealth. Conclusion Pharmacists and patients perceived many beneficial effects and were positive about the the use of the interactive ADolescent Adherence Patient Tool (ADAPT) intervention. This study emphasizes opportunities for mHealth in improving the quality of care, which supports the need for further implementation in clinical practice.

Effective Engagement of Adolescent Asthma Patients With Mobile Health-Supporting Medication Adherence

Background

Mobile health (mHealth) apps have the potential to support patients’ medication use and are therefore increasingly used. Apps with broad functionality are suggested to be more effective; however, not much is known about the actual use of different functionalities and the effective engagement.

Objective

The aim of this study was to explore the use and the effective engagement of adolescents (aged 12 to 18 years) with the Adolescent Adherence Patient Tool (ADAPT).

Methods

The ADAPT intervention consisted of an app for patients, which was connected to a management system for their pharmacist. The aim of the ADAPT intervention was to improve medication adherence and, therefore, the app contained multiple functionalities: questionnaires to monitor symptoms and adherence, medication reminders, short movies, pharmacist chat, and peer chat. For this study, data of the ADAPT study and a cluster randomized controlled trial were used. Adolescents with asthma had 6 months’ access to the ADAPT intervention, and all app usage was securely registered in a log file.

Results

In total, 86 adolescents (mean age 15.0, SD 2.0 years) used the ADAPT app 17 times (range 1-113) per person. Females used the app more often than males (P=.01) and for a longer period of time (P=.03). On average, 3 different functionalities were used, and 13% of the adolescents used all functionalities of the app. The questionnaires to monitor symptoms and adherence were used by most adolescents. The total app use did not affect adherence; however, activity in the pharmacist chat positively affected medication adherence (P=.03), in particular, if patients sent messages to their pharmacist (P=.01).

Conclusions

mHealth apps for adolescents with asthma should contain different functionalities to serve the diverging needs and preferences of individual patients. Suggested key functionalities to promote use and effectiveness in adolescents with asthma are questionnaires to monitor symptoms and a health care provider chat.

Effect of a mHealth intervention on adherence in adolescents with asthma: A randomized controlled trial

BACKGROUND

Adherence rates among asthma patients are generally low and decrease during adolescence, resulting in poorly controlled asthma. The aim of our study was to evaluate the effectiveness of the ADolescent Adherence Patient Tool (ADAPT), an interactive mobile health (mHealth) intervention, in supporting self-management and improving inhaled corticosteroid adherence in adolescents with asthma.

METHODS

We conducted a cluster randomized controlled trial in 66 Dutch community pharmacies. Asthma patients aged 12-18 years were invited to participate, based on pharmacy medication refill records. The main study outcome was self-reported medication adherence, measured with the Medication Adherence Report Scale (MARS). Secondary outcomes were asthma control and quality of life. Outcomes were measured at start (t = 0 months) and at the end of follow-up (t = 6 months). Mixed-effects models were used to analyze the effect.

RESULTS

In total, 234 adolescents (147 in the control group and 87 in the intervention group) completed the study; mean age 15.1 ± 1.9 years and 52.6% females. Adherence rates of patients with low baseline adherence (MARS scores ≤19; n = 76) increased with 1.42 points in the intervention group (n = 26). Adherence rates of patients in the control group (n = 50) decreased with 0.70 points. Thus there was a positive effect of the intervention on medication adherence (MARS +2.12, p = 0.04). This effect was stronger (MARS +2.52, p = 0.02) in poor adherent adolescents with uncontrolled asthma (n = 74). No effect of the intervention was observed on asthma control or quality of life.

CONCLUSIONS

The ADAPT intervention increases medication adherence in adolescents with asthma having poor adherence rates at baseline. Healthcare providers should consider a tailored mHealth approach to improve the asthma treatment.

A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review

Background

There is mixed evidence to support current ambitions for mobile health (mHealth) apps to improve chronic health and well-being. One proposed explanation for this variable effect is that users do not engage with apps as intended. The application of analytics, defined as the use of data to generate new insights, is an emerging approach to study and interpret engagement with mHealth interventions.

Objective

This study aimed to consolidate how analytic indicators of engagement have previously been applied across clinical and technological contexts, to inform how they might be optimally applied in future evaluations.

Methods

We conducted a scoping review to catalog the range of analytic indicators being used in evaluations of consumer mHealth apps for chronic conditions. We categorized studies according to app structure and application of engagement data and calculated descriptive data for each category. Chi-square and Fisher exact tests of independence were applied to calculate differences between coded variables.

Results

A total of 41 studies met our inclusion criteria. The average mHealth evaluation included for review was a two-group pretest-posttest randomized controlled trial of a hybrid-structured app for mental health self-management, had 103 participants, lasted 5 months, did not provide access to health care provider services, measured 3 analytic indicators of engagement, segmented users based on engagement data, applied engagement data for descriptive analyses, and did not report on attrition. Across the reviewed studies, engagement was measured using the following 7 analytic indicators: the number of measures recorded (76%, 31/41), the frequency of interactions logged (73%, 30/41), the number of features accessed (49%, 20/41), the number of log-ins or sessions logged (46%, 19/41), the number of modules or lessons started or completed (29%, 12/41), time spent engaging with the app (27%, 11/41), and the number or content of pages accessed (17%, 7/41). Engagement with unstructured apps was mostly measured by the number of features accessed (8/10, P=.04), and engagement with hybrid apps was mostly measured by the number of measures recorded (21/24, P=.03). A total of 24 studies presented, described, or summarized the data generated from applying analytic indicators to measure engagement. The remaining 17 studies used or planned to use these data to infer a relationship between engagement patterns and intended outcomes.

Conclusions

Although researchers measured on average 3 indicators in a single study, the majority reported findings descriptively and did not further investigate how engagement with an app contributed to its impact on health and well-being. Researchers are gaining nuanced insights into engagement but are not yet characterizing effective engagement for improved outcomes. Raising the standard of mHealth app efficacy through measuring analytic indicators of engagement may enable greater confidence in the causal impact of apps on improved chronic health and well-being.

Smartphone Applications for Encouraging Asthma Self-Management in Adolescents: A Systematic Review

Adolescent asthma is still a major problem with poor adherence to treatment. Globally, adolescents are devoted users of smartphone technologies and app use in asthma self-management may improve adherence. The objective of this systematic review is to assess the feasibility and efficacy of mobile technology in improving asthma outcomes in adolescents. We conducted an extensive review of the peer-review literature of studies with populations consisting of children and adolescents under 18 years in seven bibliographic databases and Google Scholar. All study designs were considered. Quality assessment of included studies were independently assessed and reported. The search identified 291 articles; of the 16 eligible full-text papers, 8 met the review criteria, reporting two interventional, two qualitative and four observational studies. Samples ranged from 12 to 21 participants. Heterogeneity related to study design and the methods of the included studies prevented meta-analysis. Nevertheless, the intervention studies reported a positive effect of smartphone apps on asthma control, medication adherence and self-efficacy. Smartphone apps may be an effective asthma control tool especially among adolescents who are major users of smartphones; however, conclusions are limited by a lack of controlled trials and adequate sample sizes.

Novel methods for device and adherence monitoring in asthma

PURPOSE OF REVIEW

The article aims to provide an updated and evidence-based review of the innovative electronic health interventions to monitor and improve inhaler technique and adherence to recommended therapy in asthma.

RECENT FINDINGS

Out of the 290 articles identified by the search strategy, 23 manuscripts fulfilled the review inclusion criteria. Included studies mainly addressed m-health, electronic reminders, telemedicine, and inhaler tracker interventions. Investigations were performed both in adults and children. Remarkably, the majority of studies were performed in the most recent years, showing a progressively increasing interest for this field. Existing findings appear to be of moderate-high quality. A significant number of papers, however, were published in scientific journals with a low impact factor (<2). Furthermore, extremely high heterogeneity was found in the considered study endpoints. Collected evidence supports a relevant role for e-health in monitoring and improving inhaler use and treatment adherence in asthma. The patients' acceptance and satisfaction towards assessed interventions were also found to be positive.

SUMMARY

E-health represents a highly valuable tool for achieving optimal and personalized asthma management. Unanimously agreed and adopted standards for conducting trials and reporting results on e-health in asthma are however needed to fully understand its real added value.

Development of a bar code-based exposure assessment method to evaluate occupational exposure to disinfectants and cleaning products: a pilot study

OBJECTIVE

Healthcare workers are highly exposed to various types of disinfectants and cleaning products. Assessment of exposure to these products remains a challenge. We aimed to investigate the feasibility of a method, based on a smartphone application and bar codes, to improve occupational exposure assessment among hospital/cleaning workers in epidemiological studies.

METHODS

A database of disinfectants and cleaning products used in French hospitals, including their names, bar codes and composition, was developed using several sources: ProdHyBase (a database of disinfectants managed by hospital hygiene experts), and specific regulatory agencies and industrial websites. A smartphone application has been created to scan bar codes of products and fill a short questionnaire. The application was tested in a French hospital. The ease of use and the ability to record information through this new approach were estimated.

RESULTS

The method was tested in a French hospital (7 units, 14 participants). Through the application, 126 records (one record referred to one product entered by one participant/unit) were registered, majority of which were liquids (55.5%) or sprays (23.8%); 20.6% were used to clean surfaces and 15.9% to clean toilets. Workers used mostly products with alcohol and quaternary ammonium compounds (>90% with weekly use), followed by hypochlorite bleach and hydrogen peroxide (28.6%). For most records, information was available on the name (93.7%) and bar code (77.0%). Information on product compounds was available for all products and recorded in the database.

CONCLUSION

This innovative and easy-to-use method could help to improve the assessment of occupational exposure to disinfectants/cleaning products in epidemiological studies.

Reported Problems and Adherence in Using Asthma Medications Among Adolescents and Their Caregivers

BACKGROUND

Many factors affect youth adherence to asthma medications. Better understanding of the relationship between problems reported by youth in using asthma medications, self-efficacy, outcome expectations, and adherence is needed.

OBJECTIVE

The study examined the relationship between youth and caregiver problems in using asthma medications, asthma management self-efficacy, outcome expectations, and youth- and caregiver-reported adherence to asthma controller medications.

METHODS

Adolescents with persistent asthma and their caregivers were recruited at 4 pediatric practices. Youth were interviewed after their medical visit while caregivers completed a questionnaire. Multivariable linear regression was used to analyze the data.

RESULTS

Of 359 participating youth, 319 were on controller medications. Youth reported 60% average adherence, whereas caregivers reported 69%. Youth who reported difficulty using their inhaler correctly and youth who reported difficulty remembering to take their medications were significantly less likely to be adherent. Caregivers who reported that it was hard to remember when to give the asthma medications were significantly less likely to report their child being adherent. Both youth and caregivers with higher outcome expectations were significantly more likely to self-report being adherent.

CONCLUSIONS

Pharmacists and other health care providers should consider asking youth and caregivers about problems in using asthma medications, self-efficacy in managing asthma, and outcome expectations for following treatment regimens, so that they can help youth overcome difficulties they might have in managing their asthma.