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Enhancing Childhood Obesity Interventions Through Digital Media Tools

An Experimental Study on Enhancing Childhood Obesity Interventions Through Digital Media Tools: A Case Study of Taipei City Hospital

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07501546
Enrollment
567
Registered
2026-03-30
Start date
2024-02-03
Completion date
2024-09-30
Last updated
2026-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Literacy, Pediatric Obesity

Keywords

Childhood Obesity, Health Literacy, Digital Health, LINE Official Account, mHealth, Push Notification, Health Belief Model, Nudge Theory, Parental Engagement

Brief summary

This study evaluated the effectiveness of a LINE Official Account (a mobile messaging platform) as a digital health education tool to enhance parental engagement with childhood obesity-related health literacy content. Parents of school-aged children (grades 1, 4, and 7) identified as obese through school health screenings in Taipei, Taiwan, who declined face-to-face clinic participation, were invited to join the LINE Official Account platform. Participants were allocated to either an immediate push notification group (receiving automated educational messages for 24 weeks from enrollment) or a delayed push notification group (receiving no push notifications for the first 12 weeks, followed by 12 weeks of push notifications). The study compared parental engagement behaviors between the two groups, including the proportion of users clicking interactive educational content and the click frequency per user, to determine whether the timing of push notification initiation affects parental engagement with digital health education content related to childhood obesity.

Detailed description

Background: Childhood obesity is a growing public health concern in Taiwan. A hospital-based childhood obesity intervention program in Taipei faced consistently low parental participation rates (6-10%), despite school-based screening identifying eligible children. To address this gap, a digital health education platform was developed using the LINE Official Account messaging application to deliver health literacy content to parents who declined face-to-face clinic visits. Intervention: The LINE Official Account platform incorporated six functional modules: Understanding Obesity, Dietary Guidance, Exercise Guidance, Family Lifestyle Habits, Course Resources, and Healthy Weight Clinic Introduction. Educational content was designed based on the Health Belief Model (addressing perceived susceptibility, severity, benefits, barriers, cues to action, and self-efficacy) and Nudge theory (employing reminders, imagery, simplification, rewards, defaults, and social norms). Study Design: This was a quasi-randomized trial using systematic allocation. Parents were allocated to two groups based on the sequential order of consent form returns during telephone contact. Since the team could not predict which parents would decline clinic participation during phone calls, this systematic alternating allocation achieved a quasi-random distribution. The experimental group (Channel 1) received automated push notifications from week 1 through week 24. The control group (Channel 2) received no push notifications during weeks 1-12, with notifications beginning at week 13 through week 24. Both groups had identical educational content available on the platform at all times; the intervention variable was the timing of automated push notification delivery. Outcomes: Daily user activity data were collected from the LINE Official Account backend system over the 24-week study period. Primary outcome measures included the daily proportion of users clicking interactive educational messages and the daily click rate per user. Secondary outcomes included page view rates, system operation rates, and click differences across educational topic categories. Statistical Analysis: Descriptive statistics, Mann-Whitney U tests, Chi-square tests, Spearman correlation analysis, and hierarchical regression analysis were employed. Significance level was set at p\<0.05. All analyses were performed using IBM SPSS.

Interventions

BEHAVIORALImmediate Automated Push Notifications

Automated weekly push notifications delivered via LINE Official Account from week 1 through week 24. Each week's push notification included health education content covering topics such as BMI measurement reminders, dietary guidance, exercise guidance, obesity comorbidity awareness, and healthy weight clinic introduction. Content was designed based on the Health Belief Model constructs (perceived susceptibility, severity, benefits, barriers, cues to action, self-efficacy) and Nudge theory strategies (reminders, imagery, simplification, rewards, defaults, social norms). The 12-week content cycle repeated in weeks 13-24.

BEHAVIORALDelayed Automated Push Notifications

No automated push notifications during weeks 1-12. Starting from week 13, participants received the same automated weekly push notifications as the experimental group through week 24 (identical content and delivery schedule). During weeks 1-12, the platform content was available for self-directed access but no proactive notifications were sent.

Sponsors

Taipei City Hospital
Lead SponsorOTHER_GOV
National Taiwan University, College of Public Health
CollaboratorUNKNOWN

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Subject)

Masking description

Participants were not aware of the existence of two different LINE Official Account channels or the difference in push notification timing between groups. The LINE Official Account operated as an automated chatbot system, eliminating the possibility of differential treatment by study personnel based on group assignment. Investigators were not blinded as they managed the backend system.

Intervention model description

Two-arm parallel design. Participants were systematically allocated to either the immediate push notification group or the delayed push notification group based on the sequential order of parental consent form returns. The allocation sequence alternated between the two groups. Since staff could not predict which parents would decline face-to-face clinic participation during telephone contact, this systematic alternating allocation achieved quasi-random group assignment.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Parents or legal guardians of primary school (grades 1 and 4) or junior high school (grade 7) students in Zhongzheng and Wanhua districts, Taipei City * Their child was identified as obese (BMI above the age- and sex-specific 95th percentile based on Taiwan national standards) through school health screenings conducted by Taipei City Hospital * Parents provided consent for the public health program to calculate their child's BMI classification and to be contacted * Parents declined the invitation to participate in the face-to-face Healthy Weight Clinic program during telephone contact * Parents were able to use the LINE messaging application on a smartphone

Exclusion criteria

* Parents who accepted the face-to-face Healthy Weight Clinic invitation during initial telephone contact * Parents whose child participated in another research study within the preceding month * Parents unable to access the LINE messaging application

Design outcomes

Primary

MeasureTime frameDescription
Proportion of Children Re-enrolling in the Face-to-face Healthy Weight Clinic Program24 weeks from enrollmentThe proportion of children whose parents, after joining the LINE Official Account, subsequently chose to re-enroll in the face-to-face Healthy Weight Clinic intervention program at the hospital. This was compared between the push notification period and the non-push notification period as an odds ratio. Note: Due to a very low event rate (n=2 in the immediate push notification group, n=0 in the delayed push notification group), this outcome could not be adequately analyzed statistically. Pre-specified secondary outcomes (digital engagement metrics) were therefore used as the primary analytical focus in the final publication.

Secondary

MeasureTime frameDescription
Daily Proportion of Users Clicking Interactive Educational Messages24 weeks from enrollmentThe number of unique users who clicked on interactive educational content on a given day divided by the cumulative total number of users in the LINE Official Account channel on that day. This measure captures the daily proportion of active users engaging with the educational content.
Daily Click Rate Per User for Interactive Educational Messages24 weeks from enrollmentThe total number of clicks on interactive educational content on a given day divided by the cumulative total number of users in the LINE Official Account channel on that day. This measure captures the daily click frequency per user for educational content engagement.
Daily Page View Rate Per User24 weeks from enrollment'The number of page views of the LINE Official Account profile page on a given day divided by the cumulative total number of users on that day.
Daily System Operation Rate Per User24 weeks from enrollmentThe number of system operations (menu interactions) within the LINE Official Account on a given day divided by the cumulative total number of users on that day.
Average Clicks Per Person on Interactive Educational Content24 weeks from enrollmentThe total number of clicks on interactive educational messages per person accumulated over the entire study period, compared between the immediate and delayed push notification groups.
Click Distribution Across Educational Topic Categories24 weeks from enrollmentThe number of clicks on interactive educational content categorized by seven topic areas (Understanding Body Weight, Dietary Guidance, Exercise Guidance, Family and Lifestyle Habits, Obesity and Comorbidities, Healthy Weight Clinic Introduction, and Course Resources), compared between the two groups.
Enrollment Rate (Joining Rate)At enrollmentThe proportion of invited parents who actually joined the LINE Official Account channel, calculated as the number of parents who joined divided by the total number of parents who received the invitation SMS, compared between groups.

Countries

Taiwan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 31, 2026