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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 14, 2025
Date Accepted: Sep 19, 2025

The final, peer-reviewed published version of this preprint can be found here:

Smartphone App–Based Survey Deployment Patterns and Longitudinal Response Rate: Randomized Controlled Trial

Zhang Y, Rong J, Wang X, Schramm E, Pathiravasan CH, Borrelli B, Faro JM, Benjamin EJ, Trinquart L, Liu C, Murabito JM

Smartphone App–Based Survey Deployment Patterns and Longitudinal Response Rate: Randomized Controlled Trial

J Med Internet Res 2025;27:e73972

DOI: 10.2196/73972

PMID: 41071587

PMCID: 12552817

Smartphone App-Based Survey Deployment Patterns and Longitudinal Response Rate: A Randomized Controlled Trial

  • Yuankai Zhang; 
  • Jian Rong; 
  • Xuzhi Wang; 
  • Eric Schramm; 
  • Chathurangi H. Pathiravasan; 
  • Belinda Borrelli; 
  • Jamie M. Faro; 
  • Emelia J. Benjamin; 
  • Ludovic Trinquart; 
  • Chunyu Liu; 
  • Joanne M. Murabito

ABSTRACT

Background:

Survey fatigue is a common challenge in longitudinal studies, particularly when using smartphone apps to collect digital survey data. Evidence-based strategies to maintain engagement are needed.

Objective:

To evaluate the effect of a more frequent smartphone survey deployment strategy with less intense survey batches on participant response rates over an extended period.

Methods:

We conducted a randomized controlled trial (RCT NCT04752657) embedded in the electronic Framingham Heart Study (eFHS) cohorts. Participants were randomly allocated to receive a full set of surveys every 4 weeks (control group) or half of the survey set biweekly, such that the full set is completed every 4 weeks (experimental group). Participants were randomly allocated with stratification by age (≤75 years vs. >75 years) and phone type (Android vs. iPhone). Married couples were assigned to the same group using a blocked randomization approach. The primary outcome was the proportion of surveys returned per participant assessed longitudinally across four periods (baseline to week 8, week 8-16, week 16-24, and week 24-32), with 19, 17, 16, and 15 unique surveys deployed respectively. We used mixed-effects regression models with random intercepts to compare the repeated outcome between groups.

Results:

Among 492 participants (mean age 74 years, 58% women, 84% non-Hispanic White), there was evidence that the experimental group had higher response rates over time compared to the control group (P=.003 for interaction between deployment pattern and time). Both groups showed similar proportions of surveys returned during the first period (75% vs. 76%). The experimental group had higher response rates compared to the control group in subsequent periods (70% vs. 67% in week 8-16, 64% vs. 59% in week 16-24, 58% vs. 50% in week 24-32).

Conclusions:

Administering half of the surveys every 2 weeks, as compared to all surveys every 4 weeks, was associated with maintained digital engagement and higher survey response rates. Clinical Trial: Trial Registration: ClinicalTrials.gov NCT04752657; https://clinicaltrials.gov/study/NCT04752657


 Citation

Please cite as:

Zhang Y, Rong J, Wang X, Schramm E, Pathiravasan CH, Borrelli B, Faro JM, Benjamin EJ, Trinquart L, Liu C, Murabito JM

Smartphone App–Based Survey Deployment Patterns and Longitudinal Response Rate: Randomized Controlled Trial

J Med Internet Res 2025;27:e73972

DOI: 10.2196/73972

PMID: 41071587

PMCID: 12552817

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