Dataset Information

Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study.

ABSTRACT:

Background

eCohort studies offer an efficient approach for data collection. However, eCohort studies are challenged by volunteer bias and low adherence. We designed an eCohort embedded in the Framingham Heart Study (eFHS) to address these challenges and to compare the digital data to traditional data collection.

Objective

The aim of this study was to evaluate adherence of the eFHS app-based surveys deployed at baseline (time of enrollment in the eCohort) and every 3 months up to 1 year, and to compare baseline digital surveys with surveys collected at the research center.

Methods

We defined adherence rates as the proportion of participants who completed at least one survey at a given 3-month period and computed adherence rates for each 3-month period. To evaluate agreement, we compared several baseline measures obtained in the eFHS app survey to those obtained at the in-person research center exam using the concordance correlation coefficient (CCC).

Results

Among the 1948 eFHS participants (mean age 53, SD 9 years; 57% women), we found high adherence to baseline surveys (89%) and a decrease in adherence over time (58% at 3 months, 52% at 6 months, 41% at 9 months, and 40% at 12 months). eFHS participants who returned surveys were more likely to be women (adjusted odds ratio [aOR] 1.58, 95% CI 1.18-2.11) and less likely to be smokers (aOR 0.53, 95% CI 0.32-0.90). Compared to in-person exam data, we observed moderate agreement for baseline app-based surveys of the Physical Activity Index (mean difference 2.27, CCC=0.56), and high agreement for average drinks per week (mean difference 0.54, CCC=0.82) and depressive symptoms scores (mean difference 0.03, CCC=0.77).

Conclusions

We observed that eFHS participants had a high survey return at baseline and each 3-month survey period over the 12 months of follow up. We observed moderate to high agreement between digital and research center measures for several types of surveys, including physical activity, depressive symptoms, and alcohol use. Thus, this digital data collection mechanism is a promising tool to collect data related to cardiovascular disease and its risk factors.

SUBMITTER: Pathiravasan CH

PROVIDER: S-EPMC7857942 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study.

Pathiravasan Chathurangi H CH Zhang Yuankai Y Trinquart Ludovic L Benjamin Emelia J EJ Borrelli Belinda B McManus David D DD Kheterpal Vik V Lin Honghuang H Sardana Mayank M Hammond Michael M MM Spartano Nicole L NL Dunn Amy L AL Schramm Eric E Nowak Christopher C Manders Emily S ES Liu Hongshan H Kornej Jelena J Liu Chunyu C Murabito Joanne M JM

Journal of medical Internet research 20210120 1

<h4>Background</h4>eCohort studies offer an efficient approach for data collection. However, eCohort studies are challenged by volunteer bias and low adherence. We designed an eCohort embedded in the Framingham Heart Study (eFHS) to address these challenges and to compare the digital data to traditional data collection.<h4>Objective</h4>The aim of this study was to evaluate adherence of the eFHS app-based surveys deployed at baseline (time of enrollment in the eCohort) and every 3 months up to 1 ...[more]

PMID: 33470944

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Dataset Information

Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study.

Background

Objective

Methods

Results

Conclusions

Publications

Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study.

Similar Datasets

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