Tailored Medication Adherence Incentives Using mHealth for Children With High-Risk Asthma (TAICAM): Protocol for a Randomized Controlled Trial

Tailored Adherence Incentives for Childhood Asthma Medications: A Randomized Clinical Trial

Importance

Differential adherence to efficacious preventive medications is one potentially modifiable driver of racial disparities in childhood asthma outcomes.

Objective

To determine the effect of a financial incentive-enhanced intervention on adherence to inhaled asthma preventive medication in a high-risk, predominantly racially minoritized cohort of children with asthma.

Design, Setting, and Participants

This was a randomized clinical trial conducted from September 2019 through June 2022 at a large mid-Atlantic pediatric health system in the US. Children were eligible if they were between 5 and 12 years old, prescribed a preventive inhaler for daily use, and had at least 2 asthma exacerbations requiring systemic steroids in the preceding year. Data were analyzed from December 2022 to December 2024.

Intervention

Inhaled medication use was monitored using electronic inhaler sensors over a 7-month period. Families who completed a 1-month run-in interval were randomized to 1 of 3 arms for a 3-month experiment interval: (1) daily text message medication reminders, weekly adherence feedback, and gain-framed, financial incentives of up to $1 per day (full intervention); (2) daily text message medication reminders and weekly adherence feedback (hybrid intervention); or (3) no reminders, feedback, or incentives (active control). Medication adherence monitoring then continued for a 3-month observation interval, where all arms reverted to active control conditions.

Main Outcomes and Measures

The primary outcome was adherence to inhaled maintenance medication during the experiment; secondary outcomes included adherence during the observation phase. The study was powered to detect a difference in average monthly adherence between the full intervention and active control condition.

Results

Of the 106 children randomized, 99 had at least 1 month of monitoring data (56 male [57%] and 43 female [43%]; mean [SD] age, 8.0 [2.3] years). Most participants (81 [82%]) identified as non-Hispanic Black and demographic and clinical characteristics were similar across study arms. During the experiment interval, participants receiving the full intervention had a 15-percentage point (95% CI, 2-29 percentage points) higher inhaled maintenance medication adherence compared with participants in the active control. There was no evidence of adherence differences in the observation interval.

Conclusion and Relevance

While a financial incentive-enhanced mobile health intervention led to higher inhaled preventive medication adherence as compared with the active control group, there was no evidence for enduring effect after the intervention components ceased, consistent with other studies that include financial incentives to encourage behavior change.

Trial Registration

ClinicalTrials.gov Identifier: NCT03907410.

Improving Adherence in Urban Youth With Asthma: Role of Community Health Workers

BACKGROUND

The Asthma Action at Erie Trial is a comparative effectiveness trial comparing a community health worker (CHW) versus certified asthma educator (AE-C) intervention in low-income minority children.

OBJECTIVES

Determine whether asthma medication possession, adherence, technique, and triggers differ in children receiving an asthma CHW compared with an AE-C intervention.

METHODS

Children with uncontrolled asthma were randomized to receive 10 CHW home visits or 2 AE-C sessions in a clinic over 1 year. Asthma medication possession and inhaler technique were observed; adherence was measured using self-report, dose counters, and electronic monitors. Environmental triggers were captured by self-report, observation, and objective measurement. Mixed effects linear and logistic regression models were estimated for continuous and binary outcomes.

RESULTS

Children (n = 223) were mainly Hispanic (85%) and ages 5 to 16 years. Quick-relievers (82%), spacers (72%), and inhaled corticosteroid (ICS)-containing medications (44%) were tracked. Of those with uncontrolled asthma, 35% lacked an ICS prescription (n = 201). Children in the CHW arm were more likely to have an ICS prescription at 12 months (odds ratio 2.39; 95% CI 0.99-5.79). Inhaler technique improved 9.8% in the CHW arm at 6 months (95% CI 4.20-15.32). The ICS adherence improved in the CHW arm at 12 months, with a 16.0% (95% CI 2.3-29.7; P = .02) difference between arms. Differences in trigger exposure over time were not observed between arms.

CONCLUSIONS

The CHW services were associated with improved ICS adherence and inhaler technique, compared with AE-C services. More information is needed to determine the necessary dosage of intervention to sustain adherence.

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 feasibility of home monitoring of young people with cystic fibrosis: Results from CLIMB-CF

BACKGROUND

CF is traditionally assessed in clinic. It is unclear if home monitoring of young people with CF is feasible or acceptable. The COVID-19 pandemic has made home monitoring more of a necessity. We report the results of CLIMB-CF, exploring home monitoring's feasibility and potential obstacles.

METHODS

We designed a mobile app and enrolled participants with CF aged 2-17 years and their parents for six months. They were asked to complete a variety of measures either daily or twice a week. During the study, participants and their parents completed questionnaires exploring depression, anxiety and quality of life. At the end of the study parents and participants completed acceptability questionnaires.

RESULTS

148 participants were recruited, 4 withdrew prior to starting the study. 82 participants were female with median (IQR) age 7.9 (5.2-12 years). Median data completeness was 40.1% (13.6-69.9%) for the whole cohort; when assessed by age participants aged ≥ 12 years contributed significantly less (15.6% [9.8-30%]). Data completeness decreased over time. There was no significant difference between parental depression and anxiety scores at the start and the end of the study nor in CFQ-R respiratory domain scores for participants ≥ 14 years. The majority of participants did not feel the introduction of home monitoring impacted their daily lives.

CONCLUSIONS

Most participants felt home monitoring did not negatively impact their lives and it did not increase depression, anxiety or decrease quality of life. However, uptake was variable, and not well sustained. The teenage years pose a particular challenge and further work is required.