A pilot intervention of using a mobile health app (ONC Roadmap) to enhance health-related quality of life in family caregivers of pediatric patients with cancer

Effect of mHealth-based relaxation program on stress coping and anxiety levels in mothers of children with cancer: A randomized controlled study

OBJECTIVE

This study aimed to explore the effects of a mHealth-based relaxation program on anxiety and stress coping levels in mothers of children with cancer.

METHODS

This randomized controlled, single-blind, parallel-group trial was conducted in the pediatric hematology-oncology unit of a university hospital. The study was completed by 50 mothers (intervention group: n = 25; control group: n = 25). The mothers in the intervention group participated in a mHealth-based relaxation program for eight weeks (including progressive muscle relaxation, guided imagery, and the four-leaf clover of mindfulness). Videos of the relaxation program were sent to mothers' WhatsApp accounts. The mothers in the control group received routine care. The State-Trait Anxiety and Stress Coping Scales were administered during the first and eighth weeks. The registration number of this study on ClinicalTrials.gov is NCT05807295.

RESULTS

Mothers who participated in the relaxation program had lower anxiety levels and higher stress-coping scores than those in the control group (p < 0.05).

CONCLUSION

Progressive muscle relaxation exercises, guided imagery, and cognitive-based therapeutic approaches were effective in reducing mothers' anxiety and stress coping.

PRACTICE IMPLICATIONS

Pediatric oncology nurses can apply mHealth-based relaxation programs to support caregivers, particularly mothers. In this way, ensuring the continuity and integrity of care is easy.

A mHealth application for the training of caregivers of children with developmental disorders in South Africa: rationale and initial piloting

Background

Evidence-based mobile health (mHealth) interventions have been successful for an array of physical and mental health conditions. Children with developmental disorders (DD) often have secondary speech and language disorders. The lack of high-quality medical and educational services in low- and middle-income countries limits the opportunities for children with DD to succeed in life. South Africa currently offers limited access to education, social, and health services.

Methods

Twelve caregivers of twelve children with DD between the ages of 3 and 6 years who already received monthly early childhood therapy participated in this study. A mHealth app, called Nna'Le'wena, a Setswana phrase meaning "Me and You", was designed, developed, installed, and tested on tablets. The app provided a systematic framework and guidance to the caregivers in order to use evidence-based communication interaction strategies with the children over a twelve-week period. The app could be used offline and provided audio instructions in English and Setswana, two dominant languages in South Africa. The app automatically generated log files and collected answers to weekly surveys. At the end of the study, caregivers were asked to evaluate the app by using relevant portions of the Mobile App Rating Scale (MARS).

Results

Caregivers were able to successfully interact and use the app. The app was well-received and liked by the caregivers. Caregivers listened to the instructional audios in English and Setswana during the 12-week period. They were able to provide communication opportunities to their children during daily living activities, especially during play- and mealtime activities.

Conclusions

The Nna'Le'wena app was successfully deployed and used by caregivers of children with DD. mHealth solutions can be effective and are relatively affordable solutions that can enhance health care and educational delivery in different settings, including in low-and middle-income countries with limited Internet capabilities.

Dyadic and Individual Variation in 24-Hour Heart Rates of Cancer Patients and Their Caregivers

BACKGROUND

Twenty-four-hour heart rate (HR) integrates multiple physiological and psychological systems related to health and well-being, and can be continuously monitored in high temporal resolution over several days with wearable HR monitors. Using HR data from two independent datasets of cancer patients and their caregivers, we aimed to identify dyadic and individual patterns of 24 h HR variation and assess their relationship to demographic, environmental, psychological, and clinical variables of interest.

METHODS

a novel regularized approach to high-dimensional canonical correlation analysis (CCA) was used to identify factors reflecting dyadic and individual variation in the 24 h (circadian) HR trajectories of 430 people in 215 dyads, then regression analysis was used to relate these patterns to explanatory variables.

RESULTS

Four distinct factors of dyadic covariation in circadian HR were found, contributing approximately 7% to overall circadian HR variation. These factors, along with non-dyadic factors reflecting individual variation exhibited diverse and statistically robust patterns of association with explanatory variables of interest.

CONCLUSIONS

Both dyadic and individual anomalies are present in the 24 h HR patterns of cancer patients and their caregivers. These patterns are largely synchronous, and their presence robustly associates with multiple explanatory variables. One notable finding is that higher mood scores in cancer patients correspond to an earlier HR nadir in the morning and higher HR during the afternoon.