Using Marketing Automation to Modernize Data Collection in the California Teachers Study Cohort
| Autor: | Christine Duffy, Kristen E. Savage, Jennifer L. Benbow, Nadia T. Chung, Sophia S. Wang, Maria Elena Martinez, James V. Lacey, Emma S. Spielfogel |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adult
0301 basic medicine Epidemiology Reminder Systems Population MEDLINE Medical and Health Sciences Article Paradata Young Adult 03 medical and health sciences 0302 clinical medicine Overall response rate Cancer Survivors Clinical Research Neoplasms Surveys and Questionnaires 80 and over Humans Longitudinal Studies Aetiology Marketing Young adult education Aged Cancer Aged 80 and over education.field_of_study Data collection Extramural Data Collection Age Factors Middle Aged Mobile Applications United States 030104 developmental biology Oncology 030220 oncology & carcinogenesis Cohort Female Patient Participation Psychology Internet-Based Intervention 2.4 Surveillance and distribution |
| Zdroj: | Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, vol 29, iss 4 Cancer Epidemiol Biomarkers Prev |
| ISSN: | 1538-7755 1055-9965 |
| DOI: | 10.1158/1055-9965.epi-19-0841 |
| Popis: | Background: Like other cancer epidemiologic cohorts, the California Teachers Study (CTS) has experienced declining participation to follow-up questionnaires; neither the reasons for these declines nor the steps that could be taken to mitigate these trends are fully understood. Methods: The CTS offered their 6th study questionnaire (Q6) in the fall of 2017 using an integrated, online system. The team delivered a Web and mobile-adaptive questionnaire to 45,239 participants via e-mail using marketing automation technology. The study's integrated platform captured data on recruitment activities that may influence overall response, including the date and time invitations and reminders were e-mailed and the date and time questionnaires were started and submitted. Results: The overall response rate was 43%. Participants ages 65 to 69 were 25% more likely to participate than their younger counterparts (OR = 1.25; 95% CI, 1.18–1.32) and nonwhite participants were 28% less likely to participate than non-Hispanic white cohort members (OR = 0.72; 95% CI, 0.68–0.76). Previous questionnaire participation was strongly associated with response (OR = 6.07; 95% CI, 5.50–6.70). Invitations sent after 2 pm had the highest response (OR = 1.75; 95% CI, 1.65–1.84), as did invitations sent on Saturdays (OR = 1.48; 95% CI, 1.36–1.60). Conclusions: An integrated system that captures paradata about questionnaire recruitment and response can enable studies to quantify the engagement patterns and communication desires of cohort members. Impact: As cohorts continue to collect scientific data, it is imperative to collect and analyze information on how participants engage with the study. See all articles in this CEBP Focus section, “Modernizing Population Science.” |
| Databáze: | OpenAIRE |
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