Limitations of asthma control questionnaires in the management and follow up of childhood asthma

Smartphone App for monitoring Asthma in children and adolescents

PURPOSE

The asthma stepwise treatment approach recommended is based on monitoring patients' symptoms. The Asthma Research in Children and Adolescents (ARCA) cohort was created to provide evidence about the evolution of persistent asthma. This manuscript describes the development of an electronic health tool, comprising a mobile health application for patients with asthma and its associated online platform for pediatricians to monitor them.

METHODS

The development process followed 7 phases: the first 5 (Conceptualization, Preparation, Assessment scheduling, Image and user interface, and Technical development) defined and designed the tool, followed by a testing phase (functionality assessment and pilot test with ARCA patients), and a last phase which evaluated usability. Since the target population was aged 6-16 years, three versions were designed within the same smartphone application: parents/proxy, children, and adolescents. The online platform for pediatricians provides real-time information from the application: patients' responses over time with color-coded charts (red/amber/green, as in traffic lights).

RESULTS

The pilot test through semi-structured phone interviews of the first 50 participants included in the ARCA study (n = 53) detected their misunderstandings. Pediatricians were trained to emphasize that the application is free of charge and requires monthly answers. Median of the System Usability Scale scores (n = 85), ranging 0 (negative)-100 (positive), was > 93 in the three age versions of the application.

CONCLUSIONS

Technology has the capability of transforming the use of patient-reported outcomes. Describing all the development phases of a mobile health application for monitoring children and adolescents with asthma may increase the knowledge on how to design applications for young patients.

Patient- and proxy-reported outcome measures instruments for the assessment of asthma control among adult and pediatric population: A protocol for systematic review

BACKGROUND

Asthma is a chronic airways inflammatory disease considered as a serious public health problem. Since asthma is a lifelong condition, the assessment of its control is important to achieve a better self-management. Based on the advances of the assessment tools, many instruments have been developed to assess asthma control. Therefore, this systematic review aims to assess the measurement properties, the methodological quality, and the content of outcome measures of the available patient- and proxy-reported asthma control instruments.

METHODS

This is a systematic review protocol of the measurement properties of asthma control patient- and proxy-reported outcome instruments. Database searches will be primarily performed on MEDLINE, EMBASE, Web of Science, ScienceDirect and PsycINFO. A manual search of websites considered databases for questionnaires and reference lists will also be conducted. The methodological quality of the studies and the measurement properties will be critically appraised using the COSMIN risk of bias (RoB) checklist. The content of all measurement instruments will be compared based on the International Classification of Functioning, Disability and Health framework.

RESULTS

The findings from this systematic review will be disseminated through publication in a peer-reviewed journal and presented at scientific conferences.

CONCLUSION

The proposed systematic review will produce a comprehensive evaluation of the measurement properties of the currently available asthma control instruments for both adult and pediatric populations. We aim to help researchers and practitioners in their choice of an adequate instrument and to highlight the gaps in currently available tools.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number: CRD42019126042.

"How Is My Child's Asthma?" Digital Phenotype and Actionable Insights for Pediatric Asthma

BACKGROUND

In the traditional asthma management protocol, a child meets with a clinician infrequently, once in 3 to 6 months, and is assessed using the Asthma Control Test questionnaire. This information is inadequate for timely determination of asthma control, compliance, precise diagnosis of the cause, and assessing the effectiveness of the treatment plan. The continuous monitoring and improved tracking of the child's symptoms, activities, sleep, and treatment adherence can allow precise determination of asthma triggers and a reliable assessment of medication compliance and effectiveness. Digital phenotyping refers to moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices, in particular, mobile phones. The kHealth kit consists of a mobile app, provided on an Android tablet, that asks timely and contextually relevant questions related to asthma symptoms, medication intake, reduced activity because of symptoms, and nighttime awakenings; a Fitbit to monitor activity and sleep; a Microlife Peak Flow Meter to monitor the peak expiratory flow and forced exhaled volume in 1 second; and a Foobot to monitor indoor air quality. The kHealth cloud stores personal health data and environmental data collected using Web services. The kHealth Dashboard interactively visualizes the collected data.

OBJECTIVE

The objective of this study was to discuss the usability and feasibility of collecting clinically relevant data to help clinicians diagnose or intervene in a child's care plan by using the kHealth system for continuous and comprehensive monitoring of child's symptoms, activity, sleep pattern, environmental triggers, and compliance. The kHealth system helps in deriving actionable insights to help manage asthma at both the personal and cohort levels. The Digital Phenotype Score and Controller Compliance Score introduced in the study are the basis of ongoing work on addressing personalized asthma care and answer questions such as, "How can I help my child better adhere to care instructions and reduce future exacerbation?"

METHODS

The Digital Phenotype Score and Controller Compliance Score summarize the child's condition from the data collected using the kHealth kit to provide actionable insights. The Digital Phenotype Score formalizes the asthma control level using data about symptoms, rescue medication usage, activity level, and sleep pattern. The Compliance Score captures how well the child is complying with the treatment protocol. We monitored and analyzed data for 95 children, each recruited for a 1- or 3-month-long study. The Asthma Control Test scores obtained from the medical records of 57 children were used to validate the asthma control levels calculated using the Digital Phenotype Scores.

RESULTS

At the cohort level, we found asthma was very poorly controlled in 37% (30/82) of the children, not well controlled in 26% (21/82), and well controlled in 38% (31/82). Among the very poorly controlled children (n=30), we found 30% (9/30) were highly compliant toward their controller medication intake-suggesting a re-evaluation for change in medication or dosage-whereas 50% (15/30) were poorly compliant and candidates for a more timely intervention to improve compliance to mitigate their situation. We observed a negative Kendall Tau correlation between Asthma Control Test scores and Digital Phenotype Score as -0.509 (P<.01).

CONCLUSIONS

kHealth kit is suitable for the collection of clinically relevant information from pediatric patients. Furthermore, Digital Phenotype Score and Controller Compliance Score, computed based on the continuous digital monitoring, provide the clinician with timely and detailed evidence of a child's asthma-related condition when compared with the Asthma Control Test scores taken infrequently during clinic visits.

Asthma Control Test and Bronchial Challenge with Exercise in Pediatric Asthma

BACKGROUND

Poor asthma control can lead to exercise-induced bronchoconstriction (EIB), but the relationship between subjective disease control and EIB is unclear. No studies have compared asthma control test (ACT) scores of children with those of their parents regarding EIB. We assessed whether ACT scores predict the occurrence of EIB in two age groups. We also evaluated ACT scores and objective measures as explanatory variables for airway response to exercise.

METHODS

Patients (71, aged <12 years; 93, aged ≥12 years) and their parents completed an ACT questionnaire separately. Current therapy, skin prick testing, and spirometry at baseline and after exercise were assessed. EIB was defined as a fall in forced expiratory volume in 1 s (FEV1) of at least 12% from baseline. Sensitivity and specificity for cut-off values of ACT scores predictive of EIB were plotted, and the area under curve (AUC) was described.

RESULTS

Atopy and current therapy were similarly frequent. EIB was observed in 23.9% of children aged <12 years and in 33.3% of children aged ≥12 years. EIB occurrence in subjects previously scored as having full control (25), partial control (20-24), and no control (<20) varied according to the age group and responders. Percentages of EIB cases increased as ACT scores decreased in children aged ≥12 years alone (child ACT scores, 25: 21.9%, 20-24: 31.1%, <20: 62.5%, p = 0.017). Plots for ACT scores as predictors of EIB yielded low non-significant AUC values in children aged <12 years; in contrast, moderate AUC values emerged in children aged ≥12 years (child: 0.67, p = 0.007; parent: 0.69, p = 0.002). Sensitivity of ACT scores below 20 as a predictor of EIB was low in older children (child: 32.3%, parent: 22.6%), whereas specificity was high (child: 90.3%, parent: 93.5%). Multiple regression analysis with percent fall in FEV1 as dependent variable included FEV1/FVC%, ACT child score, and gender in the prediction model (r = 0.42, p = 0.000).

CONCLUSION

ACT scores are a more effective means of excluding than confirming EIB in asthmatic patients aged ≥12 years; their predictive value decreases in younger patients. ACT scores together with lung function may help to predict airway response to exercise. New tools for pediatric asthma assessment may optimize this association.