Findings from a pilot Randomised trial of an Asthma Internet Self-management Intervention (RAISIN)

Impact of digital interventions and online health communities in patient activation: Systematic review and meta-analysis

OBJECTIVE

Study the efficacy of digital health interventions in enhancing patient activation and identify the distinct features of these interventions using the WHO classification system.

METHODS

Asystematic reviewand meta-analysis were carried out according to the PRISMA guidelines. A search was conducted in Scopus, PubMed, and ProQuest. Randomized controlled trials (RCT), quasi-randomized controlled trials, and before-and-after studies enrolling patients ≥ 18 years of age with the Patient Activation Measure (PAM) score measurement and contain digital intervention with any aspects of health education or health-related behavior were included. The Downs and Black quality assessment tool was used to assess the quality of the articles.

RESULTS

In the three different types of meta-analyses, implementing the intervention led to a PAM score increase (Mean Difference (M.D.)), ranging from a minimum of (MD = 0.2014, 95 % CI = 0.0871-0.3158) and a highly significant p-value 0.0006 to a maximum of (MD = 2.7882, 95 % CI = 1.5558-4.0206) and a p-value < .0001. While the M.D. score of 0.2014 may seem relatively low, it is enough to elevate the patient from one activation level to a higher one out of the four activation levels.

CONCLUSION AND PRACTICE IMPLICATIONS

The results suggest the effectiveness of digital health interventions on patient activation across diverse settings and contexts, implying potential generalizability. Using WHO classification, all examined digital interventions addressed the challenges of information, utilization, and efficiency in the health system, but not equity-related challenges. The study recognized online health communities (OHCs) as a subset of digital interventions that enhance patient activation through social support.

Management of difficult-to-treat asthma in adolescence and young adults

The period of adolescence and young adulthood (AYA) has been proposed to extend from 11 to 25 years of age as patients in this age group face similar challenges. AYA is a time of fast and great physiological and psychological growth, in which an individual transitions from a young dependent child to a mature independent adult. Behaviour patterns during adolescence, such as risk taking and desire for privacy, can challenge parents or healthcare professionals' (HCPs') ability to help adolescents to manage their asthma.

Asthma itself tends to remit, become milder or worsen into a severe variant during adolescence. The pre-pubertal male predominance of asthma switches to a female predominance in late teen years. ∼10% of AYA with asthma have “difficult-to-treat asthma (DTA)”, characterised by poor asthma control despite treatment with inhaled corticosteroids (ICS) and other controller medications. DTA management in AYA requires a multidisciplinary team approach and systematic assessment that can address the key questions of objective confirmation of diagnosis, severity assessment, phenotyping, comorbidities, asthma mimickers or other drivers of poor control such as non-adherence to treatment.

A key task for HCPs is to establish the magnitude of the severe asthma componentversusother non-asthma drivers of symptoms (e.g.inducible laryngeal obstruction or breathing pattern disorder). Severe asthma is a subset of DTA and is determined once asthma diagnosis and its severity have been confirmed and adherence to controller (ICS) treatment has been assured. Severe asthma is a heterogeneous disease and appropriate phenotyping is necessary for the management of treatable traits and consideration for biologic therapies.

Finally, an important part of successful management of DTA in the AYA group is the provision of an effective transition of asthma care from paediatric to adult asthma services through setting up a well-designed asthma transition pathway tailored to the individual patient needs.

Digital interventions for hypertension and asthma to support patient self-management in primary care: the DIPSS research programme including two RCTs

Background

Digital interventions offer a potentially cost-effective means to support patient self-management in primary care, but evidence for the feasibility, acceptability and cost-effectiveness of digital interventions remains mixed. This programme focused on the potential for self-management digital interventions to improve outcomes in two common, contrasting conditions (i.e. hypertension and asthma) for which care is currently suboptimal, leading to excess deaths, illness, disability and costs for the NHS.

Objectives

The overall purpose was to address the question of how digital interventions can best provide cost-effective support for patient self-management in primary care. Our aims were to develop and trial digital interventions to support patient self-management of hypertension and asthma. Through the process of planning, developing and evaluating these interventions, we also aimed to generate a better understanding of what features and methods for implementing digital interventions could make digital interventions acceptable, feasible, effective and cost-effective to integrate into primary care.

Design

For the hypertension strand, we carried out systematic reviews of quantitative and qualitative evidence, intervention planning, development and optimisation, and an unmasked randomised controlled trial comparing digital intervention with usual care, with a health economic analysis and nested process evaluation. For the asthma strand, we carried out a systematic review of quantitative evidence, intervention planning, development and optimisation, and a feasibility randomised controlled trial comparing digital intervention with usual care, with nested process evaluation.

Setting

General practices (hypertension, n = 76; asthma, n = 7) across Wessex and Thames Valley regions in Southern England.

Participants

For the hypertension strand, people with uncontrolled hypertension taking one, two or three antihypertensive medications. For the asthma strand, adults with asthma and impaired asthma-related quality of life.

Interventions

Our hypertension intervention (i.e. HOME BP) was a digital intervention that included motivational training for patients to self-monitor blood pressure, as well as health-care professionals to support self-management; a digital interface to send monthly readings to the health-care professional and to prompt planned medication changes when patients’ readings exceeded recommended targets for 2 consecutive months; and support for optional patient healthy behaviour change (e.g. healthy diet/weight loss, increased physical activity and reduced alcohol and salt consumption). The control group were provided with a Blood Pressure UK (London, UK) leaflet for hypertension and received routine hypertension care. Our asthma intervention (i.e. My Breathing Matters) was a digital intervention to improve the functional quality of life of primary care patients with asthma by supporting illness self-management. Motivational content intended to facilitate use of pharmacological self-management strategies (e.g. medication adherence and appropriate health-care service use) and non-pharmacological self-management strategies (e.g. breathing retraining, stress reduction and healthy behaviour change). The control group were given an Asthma UK (London, UK) information booklet on asthma self-management and received routine asthma care.

Main outcome measures

The primary outcome for the hypertension randomised controlled trial was difference between intervention and usual-care groups in mean systolic blood pressure (mmHg) at 12 months, adjusted for baseline blood pressure, blood pressure target (i.e. standard, diabetic or aged > 80 years), age and general practice. The primary outcome for the asthma feasibility study was the feasibility of the trial design, including recruitment, adherence, intervention engagement and retention at follow-up. Health-care utilisation data were collected via notes review.

Review methods

The quantitative reviews included a meta-analysis. The qualitative review comprised a meta-ethnography.

Results

A total of 622 hypertensive patients were recruited to the randomised controlled trial, and 552 (89%) were followed up at 12 months. Systolic blood pressure was significantly lower in the intervention group at 12 months, with a difference of –3.4 mmHg (95% confidence interval –6.1 to –0.8 mmHg), and this gave an incremental cost per unit of systolic blood pressure reduction of £11 (95% confidence interval £5 to £29). Owing to a cost difference of £402 and a quality-adjusted life-year (QALY) difference of 0.044, long-term modelling puts the incremental cost per QALY at just over £9000. The probability of being cost-effective was 66% at willingness to pay £20,000 per quality-adjusted life-year, and this was higher at higher thresholds. A total of 88 patients were recruited to the asthma feasibility trial (target n = 80; n = 44 in each arm). At 3-month follow-up, two patients withdrew and six patients did not complete outcome measures. At 12 months, two patients withdrew and four patients did not complete outcome measures. A total of 36 out of 44 patients in the intervention group engaged with My Breathing Matters [with a median of four (range 0–25) logins].

Limitations

Although the interventions were designed to be as accessible as was feasible, most trial participants were white and participants of lower socioeconomic status were less likely to take part and complete follow-up measures. Challenges remain in terms of integrating digital interventions with clinical records.

Conclusions

A digital intervention using self-monitored blood pressure to inform medication titration led to significantly lower blood pressure in participants than usual care. The observed reduction in blood pressure would be expected to lead to a reduction of 10–15% in patients suffering a stroke. The feasibility trial of My Breathing Matters suggests that a fully powered randomised controlled trial of the intervention is warranted. The theory-, evidence- and person-based approaches to intervention development refined through this programme enabled us to identify and address important contextual barriers to and facilitators of engagement with the interventions.

Future work

This research justifies consideration of further implementation of the hypertension intervention, a fully powered randomised controlled trial of the asthma intervention and wide dissemination of our methods for intervention development. Our interventions can also be adapted for a range of other health conditions.

Trial and study registration

The trials are registered as ISRCTN13790648 (hypertension) and ISRCTN15698435 (asthma). The studies are registered as PROSPERO CRD42013004773 (hypertension review) and PROSPERO CRD42014013455 (asthma review).

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 10, No. 11. See the NIHR Journals Library website for further information.

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.

Comparative Efficacy of Strategies to Support Self-Management in Patients with Asthma: A Systematic Review and Network Meta-Analysis

BACKGROUND

There is limited evidence about which composite feature of asthma self-management strategies is the best and should be adopted into practice.

OBJECTIVE

To compare the efficacy of different strategies to support self-management, based on the newly developed framework, in patients with asthma.

METHODS

We searched PubMed, EMBASE, CENTRAL, CINAHL, and PsycInfo from 1993 to December 2019. We identified randomized controlled trials that explored effects of strategies to support self-management in adult patients with asthma. We conducted network meta-analyses using a random effects model with usual care as the common comparator. Surface under the cumulative ranking curve methods were used to rank different support strategies.

RESULTS

Thirty-five trials (5195 patients) were included and classified on the basis of our newly created TIP framework: Theme, Intensity, and Provider/Platform. We identified 6 features from the included trials, each represented by 1 element of the TIP framework: (1) behavioral support more than once a month by e-Health; (2) behavioral support more than once a month by health care personnel (HCP); (3) behavioral support less often than or equal to once a month by HCP; (4) education support less often than or equal to once a month by e-Health; (5) education support less often than or equal to once a month by HCP; and (6) psychosocial support less often than or equal to once a month by HCP. Behavioral support more than once a month by e-Health showed significant improvement in asthma control when compared with the other 2 support strategies, which was confirmed by the highest surface under the cumulative ranking of 97.6%. However, the surface under the cumulative ranking for behavioral support less often than or equal to once a month by HCP suggested that it has the potential to be the best intervention to reduce the risk of hospitalization (89.1%) and emergency department visit (84.2%).

CONCLUSIONS

Different features of asthma self-management support strategies work best on unique outcomes.

Upsides and downsides of a telecounselling model of integrated asthma management between general practitioners and specialists

Background

Asthma control, one of the most important goals in the management of asthmatic patients, requires good adherence to guidelines and support at a territorial level, in particular on the part of general practitioners (GPs). A territorial hospital alliance can become a strength in asthma management, where control by GPs can also be carried out through a spirometric examination.

Methods

The realisation of a telecounselling model management of asthma between GPs and specialists was the aim of this study, to understand how to obtain good asthma control. A specific digital platform, the PneumoApp platform, was used for the insertion of clinical data and flow volume (F‐V) curves, performed in asthmatic patients by GPs, and for the subsequent evaluation of these data by specialists.

Results

GPs have shown to be able to perform a check‐up of respiratory function well using a portable spirometer, but the analysis of the collected data showed that GP assessment of the severity level of asthma is incorrect in patients with moderate‐severe asthma.

Conclusions

The effectiveness of a telecounselling collaboration between hospital and territory in the management of asthma patients can be improved by greater diffusion of the use of Global Initiative for Asthma (GINA) guidelines at a local level.

Using Telemedicine to Provide Education for the Symptomatic Patient with Chronic Respiratory Disease

Technology-enabled learning, using computers, smartphones, and tablets, to educate patients on their respiratory disease and management has grown over the last decade. This shift has been accelerated by the global COVID-19 pandemic and the need to socially distance for public health. Thirteen recently published papers examined experience, knowledge, skills and attitude acquisition, behaviour change, and impact on health outcomes of patient education using technology (websites and mobile device applications) for people with chronic respiratory disease. Technology-enabled patient education that includes relevant information, with activities that encourage the patient to interact with the digital platform, appears to lead to better patient experience and may increase learning and behaviour change with improved quality of life. Developing online relationships with healthcare providers, lower digital capabilities, and poor access to a computer/smartphone/tablet, appear to be barriers that need to be overcome for equity in access. Maintaining the principles of quality educational design, ensuring interactive experiences for patient involvement in the educational activities, patient co-design, healthcare professionals connecting with experts in the field of technology-enabled learning for development of education models, and ongoing research lead to the best patient outcomes in technology-enabled education for respiratory disease.

A systematic review and meta-analysis of patient activation in people living with chronic conditions

OBJECTIVE

The objectives of this review are to (1) describe the state of the science of patient activation interventions for the self-management of chronic conditions; (2) identify effective intervention elements for improving patient activation; and (3) compare intervention effectiveness across chronic conditions.

METHODS

This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement (PRISMA). PubMed, CINAHL, and Web of Science databases were searched.

RESULTS

Thirty-two articles published between 2005 and 2019 were identified with intervention elements of self-management, disease management, and education. Meta-analysis of a subset of seven randomized controlled trials (n = 7) that used the 13-item version of the Patient Activation Measure with data collection points at 6 months demonstrated that patient activation did not change significantly in comparison with controls (MD = 0.25, 95 % CI = 0.02-0.47).

CONCLUSION

Most interventions reported significant improvement in patient activation and were linked to tasks such as regular exercise and monitoring glucose. However, the meta-analysis of RCTs did not confirm these findings.

PRACTICE IMPLICATIONS

Patient activation can be assessed and addressed uniformly across all chronic conditions to improve patient engagement in care.

A feasibility trial of a digital mindfulness-based intervention to improve asthma-related quality of life for primary care patients with asthma

Asthma outcomes remain suboptimal, despite effective pharmacotherapy. Psychological dysfunction (such as anxiety) is common, and associated with poorer outcomes. We evaluated a digital mindfulness programme as an intervention to improve asthma-related quality of life for primary care patients, in a prospectively registered randomized-controlled feasibility study. We offered ‘Headspace’, a widely-used digital mindfulness intervention, to adults with asthma through 16 UK GP practices. Participants were randomized on a 2:1 basis to the mindfulness intervention, or waitlist control. Participants completed questionnaires (including asthma symptom control, asthma-related quality of life, anxiety, depression) at baseline, 6-week and 3-month follow-up. 116 participants completed primary outcomes at 3-month follow-up: intervention 73 (79%), control 43 (84%). Compared to baseline, the intervention group but not the control group reported significantly improved asthma-related quality of life, with a between-group difference favoring the intervention group that was not significant (Mean difference = 0.15, 95%CI − 0.13 to 0.42). Intervention use varied (ranging from 0 to 192 times) but was generally high. Digital mindfulness interventions are feasible and acceptable adjunct treatments for mild and moderate asthma to target quality of life. Further research should adapt ‘generic’ mindfulness-based stress-reduction to maximize effectiveness for asthma, and validate our findings in a fully-powered randomized controlled trial.

Trial registration Prospectively registered: ISRCTN52212323.

Experiences of Using a Self-management Mobile App Among Individuals With Heart Failure: Qualitative Study

BACKGROUND

Interventions that focus on the self-management of heart failure are vital to promoting health in patients with heart failure. Mobile health (mHealth) apps are becoming more integrated into practice to promote self-management strategies for chronic diseases, optimize care delivery, and reduce health disparities.

OBJECTIVE

The purpose of this study was to explore the experience of using a self-management mHealth intervention in individuals with heart failure to inform a future mHealth intervention study.

METHODS

This study used a qualitative descriptive design. Participants were enrolled in the intervention groups of a larger parent study using a mobile app related to self-management of heart failure. The purposive, convenient, criterion-based sample for this qualitative analysis comprised 10 patients who responded to phone calls and were willing to be interviewed. Inclusion criteria for the parent study were adults who were hospitalized at Nebraska Medical Center with a primary diagnosis and an episode of acute decompensated heart failure; discharged to home without services such as home health care; had access to a mobile phone; and were able to speak, hear, and understand English.

RESULTS

Study participants were middle-aged (mean age 55.8, SD 12 years; range 36-73 years). They had completed a mean of 13.5 (SD 2.2) years (range 11-17 years) of education. Of the 10 participants, 6 (60%) were male. Half of them (5/10, 50%) were New York Heart Association Classification Class III patients and the other half were Class IV patients. The intervention revealed four self-management themes, including (1) I didn't realize, and now I know; (2) It feels good to focus on my health; (3) I am the leader of my health care team; and (4) My health is improving.

CONCLUSIONS

Participants who used a self-management mHealth app intervention for heart failure reported an overall positive experience. Their statements were organized into four major themes. The education provided during the study increased self-awareness and promoted self-management of their heart failure. The mHealth app supported patient empowerment, resulting in better heart failure management and improved quality of life. Participants advocated for themselves by becoming the leader of their health, especially when communicating with their health care team. Finally, the mHealth app was used by the participants as a self-management tool to assist in symptom management and improve their overall health. Future research should study symptom evaluation, medication tracking, and possibly serve as a health provider communication platform to empower individuals to be leaders in their chronic disease management.

Mixed methods process evaluation of my breathing matters, a digital intervention to support self-management of asthma

This study aimed to explore user engagement with 'My Breathing Matters', a digital self-management intervention for asthma, and identify factors that may influence engagement. In a mixed methods design, adults with asthma allocated to the intervention arm of a feasibility trial (n = 44) participated in semi-structured interviews (n = 18) and a satisfaction questionnaire (n = 36) to explore their views and experiences of the intervention. Usage data highlighted that key intervention content was delivered to most users. The majority of questionnaire respondents (78%; n = 28) reported they would recommend the intervention to friends and family. Interviewees expressed positive views of the intervention and experienced several benefits, mainly improved asthma control, medication use, and breathing technique. Factors that may influence user engagement were identified, including perceptions of asthma control, current self-management practices, and appeal of the target behaviours and behaviour change techniques. Findings suggested My Breathing Matters was acceptable and engaging to participants, and it was used as intended.

Digital Health Technology in Asthma: A Comprehensive Scoping Review

BACKGROUND

A variety of digital intervention approaches have been investigated for asthma therapy during the past decade, with different levels of interactivity and personalization and a range of impacts on different outcome measurements.

OBJECTIVE

To assess the effectiveness of digital interventions in asthma with regard to acceptability and outcomes and evaluate the potential of digital initiatives for monitoring or treating patients with asthma.

METHODS

We evaluated digital interventions using a scoping review methodology through a literature search and review. Of 871 articles identified, 121 were evaluated to explore intervention characteristics, the perception and acceptability of digital interventions to patients and physicians, and effects on asthma outcomes. Interventions were categorized by their level of interactivity with the patient.

RESULTS

Interventions featuring non-individualized content sent to patients appeared capable of promoting improved adherence to inhaled corticosteroids, but with no identified improvement in asthma burden; and data-gathering interventions appeared to have little effect on adherence or asthma burden. Evidence of improvement in both adherence and patients' impairment due to asthma were seen only with interactive interventions involving two-way responsive patient communication. Digital interventions were generally positively perceived by patients and physicians. Implementation was considered feasible, with certain preferences for design and features important to drive use.

CONCLUSIONS

Digital health interventions show substantial promise for asthma disease monitoring and personalization of treatment. To be successful, future interventions will need to include both inhaler device and software elements, combining accurate measurement of clinical parameters with careful consideration of ease of use, personalization, and patient engagement aspects.

A user-centered, learning asthma smartphone application for patients and providers

PROBLEM

Smartphone applications are an increasingly useful part of patients' self-management of chronic health conditions. Asthma is a common chronic health condition for which good self-management by patients is very helpful in maintaining stability. User-centered design and intelligent systems that learn are steps forward in building applications that are more effective in providing quality care that is scalable and tailored to each patient.

METHODS

A literature and application store search to review historic and current asthma smart phone applications. User-centered design is a methodology that involves all stakeholders of a proposed system from the beginning of the design phase to the end of installation. One aspect of this user-centered approach involved conducting focus groups with patients and health care providers to determine what features they desire for use in applications and create a model to build smart infrastructure for a learning health care system. A simple prototype for an asthma smartphone application is designed and built with basic functionality.

OUTCOMES

Only one publication in the literature review of asthma smartphone applications describes both user-centered design and intelligent learning systems. The authors have presented a set of user-desired attributes for a smart health care application and a possible data flow diagram of information for a learning system. A prototype simple user-centered designed asthma smartphone application that better assists patients in their care illustrates the value of the proposed architecture.

DISCUSSION

Our user-centered approach helped design and implement a learning prototype smart phone application to help patients better manage their asthma and provide information to clinical care providers. While popular in other industries, user-centered design has had slow adoption in the health care area. However, the popularity of this approach is increasing and will hopefully result in mobile application that better meets the needs of both patients and their care providers.

Interventions for improving medication-taking ability and adherence in older adults prescribed multiple medications

BACKGROUND

Older people taking multiple medications represent a large and growing proportion of the population. Managing multiple medications can be challenging, and this is especially the case for older people, who have higher rates of comorbidity and physical and cognitive impairment than younger adults. Good medication-taking ability and medication adherence are necessary to ensure safe and effective use of medications.

OBJECTIVES

To evaluate the effectiveness of interventions designed to improve medication-taking ability and/or medication adherence in older community-dwelling adults prescribed multiple long-term medications.

SEARCH METHODS

We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO, CINAHL Plus, and International Pharmaceutical Abstracts from inception until June 2019. We also searched grey literature, online trial registries, and reference lists of included studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), quasi-RCTs, and cluster-RCTs. Eligible studies tested interventions aimed at improving medication-taking ability and/or medication adherence among people aged ≥ 65 years (or of mean/median age > 65 years), living in the community or being discharged from hospital back into the community, and taking four or more regular prescription medications (or with group mean/median of more than four medications). Interventions targeting carers of older people who met these criteria were also included.

DATA COLLECTION AND ANALYSIS

Two review authors independently reviewed abstracts and full texts of eligible studies, extracted data, and assessed risk of bias of included studies. We conducted meta-analyses when possible and used a random-effects model to yield summary estimates of effect, risk ratios (RRs) for dichotomous outcomes, and mean differences (MDs) or standardised mean differences (SMDs) for continuous outcomes, along with 95% confidence intervals (CIs). Narrative synthesis was performed when meta-analysis was not possible. We assessed overall certainty of evidence for each outcome using Grades of Recommendation, Assessment, Development and Evaluation (GRADE). Primary outcomes were medication-taking ability and medication adherence. Secondary outcomes included health-related quality of life (HRQoL), emergency department (ED)/hospital admissions, and mortality.

MAIN RESULTS

We identified 50 studies (14,269 participants) comprising 40 RCTs, six cluster-RCTs, and four quasi-RCTs. All included studies evaluated interventions versus usual care; six studies also reported a comparison between two interventions as part of a three-arm RCT design. Interventions were grouped on the basis of their educational and/or behavioural components: 14 involved educational components only, 7 used behavioural strategies only, and 29 provided mixed educational and behavioural interventions. Overall, our confidence in results regarding the effectiveness of interventions was low to very low due to a high degree of heterogeneity of included studies and high or unclear risk of bias across multiple domains in most studies. Five studies evaluated interventions for improving medication-taking ability, and 48 evaluated interventions for improving medication adherence (three studies evaluated both outcomes). No studies involved educational or behavioural interventions alone for improving medication-taking ability. Low-quality evidence from five studies, each using a different measure of medication-taking ability, meant that we were unable to determine the effects of mixed interventions on medication-taking ability. Low-quality evidence suggests that behavioural only interventions (RR 1.22, 95% CI 1.07 to 1.38; 4 studies) and mixed interventions (RR 1.22, 95% CI 1.08 to 1.37; 12 studies) may increase the proportions of people who are adherent compared with usual care. We could not include in the meta-analysis results from two studies involving mixed interventions: one had a positive effect on adherence, and the other had little or no effect. Very low-quality evidence means that we are uncertain of the effects of educational only interventions (5 studies) on the proportions of people who are adherent. Low-quality evidence suggests that educational only interventions (SMD 0.16, 95% CI -0.12 to 0.43; 5 studies) and mixed interventions (SMD 0.47, 95% CI -0.08 to 1.02; 7 studies) may have little or no impact on medication adherence assessed through continuous measures of adherence. We excluded 10 studies (4 educational only and 6 mixed interventions) from the meta-analysis including four studies with unclear or no available results. Very low-quality evidence means that we are uncertain of the effects of behavioural only interventions (3 studies) on medication adherence when assessed through continuous outcomes. Low-quality evidence suggests that mixed interventions may reduce the number of ED/hospital admissions (RR 0.67, 95% CI 0.50 to 0.90; 11 studies) compared with usual care, although results from six further studies that we were unable to include in meta-analyses indicate that the intervention may have a smaller, or even no, effect on these outcomes. Similarly, low-quality evidence suggests that mixed interventions may lead to little or no change in HRQoL (7 studies), and very low-quality evidence means that we are uncertain of the effects on mortality (RR 0.93, 95% CI 0.67 to 1.30; 7 studies). Moderate-quality evidence shows that educational interventions alone probably have little or no effect on HRQoL (6 studies) or on ED/hospital admissions (4 studies) when compared with usual care. Very low-quality evidence means that we are uncertain of the effects of behavioural interventions on HRQoL (1 study) or on ED/hospital admissions (2 studies). We identified no studies evaluating effects of educational or behavioural interventions alone on mortality. Six studies reported a comparison between two interventions; however due to the limited number of studies assessing the same types of interventions and comparisons, we are unable to draw firm conclusions for any outcomes.

AUTHORS' CONCLUSIONS

Behavioural only or mixed educational and behavioural interventions may improve the proportion of people who satisfactorily adhere to their prescribed medications, but we are uncertain of the effects of educational only interventions. No type of intervention was found to improve adherence when it was measured as a continuous variable, with educational only and mixed interventions having little or no impact and evidence of insufficient quality to determine the effects of behavioural only interventions. We were unable to determine the impact of interventions on medication-taking ability. The quality of evidence for these findings is low due to heterogeneity and methodological limitations of studies included in the review. Further well-designed RCTs are needed to investigate the effects of interventions for improving medication-taking ability and medication adherence in older adults prescribed multiple medications.

Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)

BACKGROUND

There are a growing number of mHealth tools for breast cancer patients but a lack of scientific evidence for their effects. Recent studies have shown a mix of positive and negative impacts on users. Here we will assess the impact of OWise Breast Cancer, a mobile application for self-monitoring symptoms and managing care, on the process of self-management.

METHODS

This randomized controlled trial with early stage breast cancer patients will assess the effect of OWise use on patient activation at 3 months from diagnosis measured by the PAM-13 questionnaire. We will also assess differences in changes in health-related quality of life, psychological distress, health status, and National Health Service (NHS) health resource utilization over the first year from diagnosis. Participants will be randomly allocated (1:1) to standard care or standard care plus OWise. Participants will complete questionnaires before starting anti-cancer treatment and at 3, 6, and 12 months from diagnosis. Clinical and patient-reported outcome data will be linked to health resource utilization data from Discover, an integrated care record of primary, secondary, and social care in North West London. We will measure contamination in the control group and adjust the sample size to mitigate the dilution of effect estimates. A per-protocol analysis will be conducted as a sensitivity analysis to assess robustness of the primary results.

DISCUSSION

This study aims to generate evidence for the effectiveness of OWise at improving patient activation for women with early-stage breast cancer. The results will show the impact of using the tool at the patient level and the NHS health system level. The outcomes of the study will have implications for the application of OWise across the NHS for breast cancer patients and expansion into other tumor types. Assessing publicly available mHealth tools poses a challenge to trialists due to the risk of contamination. Here we apply various methods to measure, mitigate, and assess the effects of contamination.

TRIAL REGISTRATION

The study was registered at clincaltrials.gov (NCT03866655) on 7 March 2019.

Feasibility trial of a digital self-management intervention 'My Breathing Matters' to improve asthma-related quality of life for UK primary care patients with asthma

OBJECTIVE

To assess the feasibility of a randomised controlled trial (RCT) and acceptability of an asthma self-management digital intervention to improve asthma-specific quality of life in comparison with usual care.

DESIGN AND SETTING

A two-arm feasibility RCT conducted across seven general practices in Wessex, UK.

PARTICIPANTS

Primary care patients with asthma aged 18 years and over, with impaired asthma-specific quality of life and access to the internet.

INTERVENTIONS

'My Breathing Matters' (MBM) is a digital asthma self-management intervention designed using theory, evidence and person-based approaches to provide tailored support for both pharmacological and non-pharmacological management of asthma symptoms.

OUTCOMES

The primary outcome was the feasibility of the trial design, including recruitment, adherence and retention at follow-up (3 and 12 months). Secondary outcomes were the feasibility and effect sizes of specific trial measures including asthma-specific quality of life and asthma control.

RESULTS

Primary outcomes: 88 patients were recruited (target 80). At 3-month follow-up, two patients withdrew and six did not complete outcome measures. At 12 months, two withdrew and four did not complete outcome measures. 36/44 patients in the intervention group engaged with MBM (median of 4 logins, range 0-25, IQR 8). Consistent trends were observed to improvements in asthma-related patient-reported outcome measures.

CONCLUSIONS

This study demonstrated the feasibility and acceptability of a definitive RCT that is required to determine the clinical and cost-effectiveness of a digital asthma self-management intervention.

TRIAL REGISTRATION NUMBER

ISRCTN15698435.

Understanding patient activation and adherence to nebuliser treatment in adults with cystic fibrosis: responses to the UK version of PAM-13 and a think aloud study

BACKGROUND

Patient activation refers to patients' knowledge, skills, and confidence in self-managing health conditions. In large cross-sectional studies, individuals with higher patient activation are observed to have better health outcomes with the assumption that they are more engaged in health self-management. However, the association between patient activation and objectively measured self-care indicators in individuals can be inconsistent. This research investigated the role of patient activation as measured by the UK Patient Activation Measure (PAM-13) in adults with Cystic Fibrosis (CF). The aims were twofold: to explore how adults with CF interpret and respond to the PAM-13; and to investigate the association between PAM-13 and objectively measured nebuliser adherence in UK adults with CF.

METHODS

This article describes two studies which examined the PAM-13 from different perspectives. Study 1 comprised 'think aloud' interviews with 15 adults with CF. The data were analysed using an a priori coding framework. Study 2 examined the association between PAM-13 and objectively measured nebuliser adherence in 57 adults with CF.

RESULTS

Study 1 showed that adults with CF encountered several difficulties while completing the PAM-13. The difficulties were related to understanding how to interpret aspects of CF in order to respond (i.e., control over the condition, ability to exercise) and item wording. Some adults with CF responded to the PAM-13 in an optimistic way in relation to what they thought they should do rather than what they actually do. These findings were echoed by the results of Study 2, which showed that PAM-13 scores were not significantly correlated with objective medication adherence in a different sample. This article synthesises the results of both studies, providing insights into influences and associations of patient activation as measured by the UK PAM-13 in adults with CF.

CONCLUSIONS

There were some significant difficulties created by the wording of the UK PAM-13 for adults with CF. This may partly explain the finding that PAM-13 scores were not related to objectively measured nebuliser adherence in this study. The UK PAM-13 would benefit from further research to verify its validity and reliability in different patient populations against objective measures of behaviour rather than simply self-report.

Digital technologies and adherence in respiratory diseases: the road ahead

Outcomes for patients with chronic respiratory diseases remain poor despite the development of novel therapies. In part, this reflects the fact that adherence to therapy is low and clinicians lack accurate methods to assess this issue. Digital technologies hold promise to overcome these barriers to care. For example, algorithmic analysis of large amounts of information collected on health status and treatment use, along with other disease relevant information such as environmental data, can be used to help guide personalised interventions that may have a positive health impact, such as establishing habitual and correct inhaler use. Novel approaches to data analysis also offer the possibility of statistical algorithms that are better able to predict exacerbations, thereby creating opportunities for preventive interventions that may adapt therapy as disease activity changes. To realise these possibilities, digital approaches to disease management should be supported by strong evidence, have a solid infrastructure, be designed collaboratively as clinically effective and cost-effective systems, and reflect the needs of patients and healthcare providers. Regulatory standards for digital interventions and strategies to handle the large amounts of data generated are also needed. This review highlights the opportunities provided by digital technologies for managing patients with respiratory diseases.

A review of the use and effectiveness of digital health technologies in patients with asthma

OBJECTIVE

A new generation of digital health technologies (DHT) offers the opportunity to improve adherence and asthma control. Recent literature was reviewed to summarize the use of technological aids and evaluate their impact on health outcomes in patients with asthma.

DATA SOURCES

PubMed and Embase were searched to identify articles published over the past 5 years (2013 to 2017).

STUDY SELECTIONS

All records were judged for eligibility by 2 independent reviewers; 28 articles met the inclusion criteria.

RESULTS

Interactive websites were the most frequently evaluated type of DHT (50% of all studies), followed by mobile apps in adult patient cohorts. Relatively few studies assessed electronic monitoring devices, phone calls, or text messaging. Among the 16 studies that focused on children, most interventions that used interactive websites (n = 8) showed at least some benefit, although results varied based on the specific outcome. Twelve studies focused on adults, with interventions using interactive websites (n = 6) reporting results that were generally less consistent compared with the pediatric studies. The 6 studies that assessed mobile apps with adult patients reported consistent benefits across a range of outcomes, including medication adherence and asthma control.

CONCLUSION

Most interventions reported at least some benefit, although results varied based on the specific outcome. Overall, technology that included more interactive features, such as website-based daily diary entries and apps that provided real-time feedback, was associated with increased asthma control, as was the case for multidimensional interventions that combined the use of several complementary types of DHT.

Asthma Management in the Era of Smart-Medicine: Devices, Gadgets, Apps and Telemedicine

Asthma is the most common chronic pediatric condition. Effective asthma management requires a proactive and inclusive approach that controls the patient's symptoms and prevents recurrence of exacerbations. Clinicians should encourage patients to become involved in their management since self-management approaches have proven to be an effective means for chronic illness treatment. Novel forms of self-monitoring and management are technological interventions. In the last decade, novel technology has been developed and used to improve asthma control since it is a powerful agent that addresses a variety of challenges in chronic disease management such as education, communication and adherence. A myriad of technology-based strategies are available although many of these are not evidence based and further studies are needed to evaluate their efficacy in specific asthma-control endpoints. Herein, authors present a review of current and future technology-based options for asthma management and a comparison between them.

The Effects of Telemedicine on Asthma Control and Patients' Quality of Life in Adults: A Systematic Review and Meta-analysis

BACKGROUND

Telemedicine is increasingly used to improve health outcomes in asthma. However, it is still inconclusive which telemedicine works effectively.

OBJECTIVE

This study aimed to determine the effects of telemedicine on asthma control and the quality of life in adults.

METHODS

An electronic search was performed from the inception to March 2018 on the following databases: Cochrane CENTRAL, CINAHL, ClinicalTrials.gov, EMBASE, PubMed, and Scopus. Randomized controlled trials that assessed the effects of telemedicine in adults with asthma were included in this analysis, and the outcomes of interest were levels of asthma control and quality of life. Random-effects model meta-analyses were performed.

RESULTS

A total of 22 studies (10,281 participants) were included. Each of 11 studies investigated the effects of single-telemedicine and combined-telemedicine (combinations of telemedicine approaches), and the meta-analyses showed that combined tele-case management could significantly improve asthma control compared with usual care (standardized mean difference [SMD] = 0.78; 95% confidence interval [CI]: 0.56, 1.01). Combined tele-case management and tele-consultation (SMD = 0.52 [95% CI: 0.13, 0.91]) and combined tele-consultation (SMD = 0.28 [95% CI: 0.13, 0.44]) also significantly improved asthma outcomes, but to a lesser degree. In addition, combined tele-case management (SMD = 0.59 [95% CI: 0.31, 0.88]) was the most effective telemedicine for improving quality of life, followed by combined tele-case management and tele-consultation (SMD = 0.31 [95% CI: 0.03, 0.59]), tele-case management (SMD = 0.30 [95% CI: 0.05, 0.55]), and combined tele-consultation (SMD = 0.27 [95% CI: 0.11, 0.43]), respectively.

CONCLUSIONS

Combined-telemedicine involving tele-case management or tele-consultation appear to be effective telemedicine interventions to improve asthma control and quality of life in adults. Our findings are expected to provide health care professionals with current evidence of the effects of telemedicine on asthma control and patients' quality of life.

Randomised feasibility study of a novel experience-based internet intervention to support self-management in chronic asthma

OBJECTIVE

To determine the feasibility of a randomised controlled trial (RCT) assessing the effects of an experience-based website as a resource for the self-management of chronic asthma.

DESIGN AND SETTING

Feasibility, single-blind RCT in 2 regions of England. Randomisation used computer-generated random number sequence in a 1:1 ratio, after baseline data collection, to website access for 2 weeks.

PARTICIPANTS

Adults (age ≥18 years), with clinically diagnosed asthma as coded in their primary care electronic record, prescribed inhaled corticosteroids for at least 3 months in the previous year, were recruited from 9 general practices.

INTERVENTION

The EXPERT asthma intervention is an interactive PC/laptop/tablet/smartphone compatible website designed with extensive input from adults with asthma. It provides experience-based information and aims to support subjective perception of self-efficacy, self-management and improve health status.

OUTCOME MEASURES

Primary outcomes were consent/recruitment, website usage and completion of outcome measures. Secondary outcomes included Partners in Health (PIH) questionnaire, the Chronic Disease Self-Efficacy Scale, the SF36 and the E-Health Impact Questionnaire. Participant blinding postrandomisation was not possible. The analysis was blind to allocation.

RESULTS

Recruitment target exceeded. 148 participants randomised (73 intervention group). Age range 19-84 years; 59% female. 121 of 148 (84%; 62 intervention group) followed up. The median number of logins was 2 (IQR 2-3, range 1-48). Minimal differences of change from baseline between groups; both showed improvement in health state or management of their condition with no significant differences between arms. No adverse events.

CONCLUSIONS

Recruitment and retention confirmed feasibility. The trends towards improved outcomes suggest that further research on digital interventions based on exposure to others' personal experiences may be of value in the self-management of chronic asthma.

TRIAL REGISTRATION NUMBER

ISRCTN29549695; Results.

Home telemonitoring and remote feedback between clinic visits for asthma

BACKGROUND

Asthma is a chronic disease that causes reversible narrowing of the airways due to bronchoconstriction, inflammation and mucus production. Asthma continues to be associated with significant avoidable morbidity and mortality. Self management facilitated by a healthcare professional is important to keep symptoms controlled and to prevent exacerbations.Telephone and Internet technologies can now be used by patients to measure lung function and asthma symptoms at home. Patients can then share this information electronically with their healthcare provider, who can provide feedback between clinic visits. Technology can be used in this manner to improve health outcomes and prevent the need for emergency treatment for people with asthma and other long-term health conditions.

OBJECTIVES

To assess the efficacy and safety of home telemonitoring with healthcare professional feedback between clinic visits, compared with usual care.

SEARCH METHODS

We identified trials from the Cochrane Airways Review Group Specialised Register (CAGR) up to May 2016. We also searched www.clinicaltrials.gov, the World Health Organization (WHO) trials portal and reference lists of other reviews, and we contacted trial authors to ask for additional information.

SELECTION CRITERIA

We included parallel randomised controlled trials (RCTs) of adults or children with asthma in which any form of technology was used to measure and share asthma monitoring data with a healthcare provider between clinic visits, compared with other monitoring or usual care. We excluded trials in which technologies were used for monitoring with no input from a doctor or nurse. We included studies reported as full-text articles, those published as abstracts only and unpublished data.

DATA COLLECTION AND ANALYSIS

Two review authors screened the search and independently extracted risk of bias and numerical data, resolving disagreements by consensus.We analysed dichotomous data as odds ratios (ORs) while using study participants as the unit of analysis, and continuous data as mean differences (MDs) while using random-effects models. We rated evidence for all outcomes using the GRADE (Grades of Recommendation, Assessment, Development and Evaluation Working Group) approach.

MAIN RESULTS

We found 18 studies including 2268 participants: 12 in adults, 5 in children and one in individuals from both age groups. Studies generally recruited people with mild to moderate persistent asthma and followed them for between three and 12 months. People in the intervention group were given one of a variety of technologies to record and share their symptoms (text messaging, Web systems or phone calls), compared with a group of people who received usual care or a control intervention.Evidence from these studies did not show clearly whether asthma telemonitoring with feedback from a healthcare professional increases or decreases the odds of exacerbations that require a course of oral steroids (OR 0.93, 95% confidence Interval (CI) 0.60 to 1.44; 466 participants; four studies), a visit to the emergency department (OR 0.75, 95% CI 0.36 to 1.58; 1018 participants; eight studies) or a stay in hospital (OR 0.56, 95% CI 0.21 to 1.49; 1042 participants; 10 studies) compared with usual care. Our confidence was limited by imprecision in all three primary outcomes. Evidence quality ratings ranged from moderate to very low. None of the studies recorded serious or non-serious adverse events separately from asthma exacerbations.Evidence for measures of asthma control was imprecise and inconsistent, revealing possible benefit over usual care for quality of life (MD 0.23, 95% CI 0.01 to 0.45; 796 participants; six studies; I(2) = 54%), but the effect was small and study results varied. Telemonitoring interventions may provide additional benefit for two measures of lung function.

AUTHORS' CONCLUSIONS

Current evidence does not support the widespread implementation of telemonitoring with healthcare provider feedback between asthma clinic visits. Studies have not yet proven that additional telemonitoring strategies lead to better symptom control or reduced need for oral steroids over usual asthma care, nor have they ruled out unintended harms. Investigators noted small benefits for quality of life, but these are subject to risk of bias, as the studies were unblinded. Similarly, some benefits for lung function are uncertain owing to possible attrition bias.Larger pragmatic studies in children and adults could better determine the real-world benefits of these interventions for preventing exacerbations and avoiding harms; it is difficult to generalise results from this review because benefits may be explained at least in part by the increased attention participants receive by taking part in clinical trials. Qualitative studies could inform future research by focusing on patient and provider preferences, or by identifying subgroups of patients who are more likely to attain benefit from closer monitoring, such as those who have frequent asthma attacks.