Evidence map›Paper›PMID 32054690›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Using Marketing Automation to Modernize Data Collection in the California Teachers Study Cohort.

Kristen E Savage, Jennifer L Benbow, Christine Duffy, Emma S Spielfogel, Nadia T Chung, Sophia S Wang, Maria Elena Martinez, James V Lacey

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kristen E SavageDepartment of Computational and Quantitative Medicine, City of Hope, Duarte, California. ksavage@coh.org.ORCID 0000-0002-6676-712X
Jennifer L BenbowDepartment of Computational and Quantitative Medicine, City of Hope, Duarte, California.
Christine DuffyDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.ORCID 0000-0001-5627-3401
Emma S SpielfogelDepartment of Computational and Quantitative Medicine, City of Hope, Duarte, California.
Nadia T ChungDepartment of Computational and Quantitative Medicine, City of Hope, Duarte, California.
Sophia S WangDepartment of Computational and Quantitative Medicine, City of Hope, Duarte, California.
Maria Elena MartinezDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla, California.
James V LaceyDepartment of Computational and Quantitative Medicine, City of Hope, Duarte, California.

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jing Yang · 1985 to 2026
$124.9M
Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
CALIFORNIA TEACHERS STUDYR01CA077398 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BERNSTEIN, LESLIE · 1998 to 2014
$29.7M
Oil and Gas as Drivers of Climate Change and Health: Developing unique resources to investigate multi-level and diverse effects of exposure to oil and gas wellsU01CA199277 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI LACEY, JAMES V, MARTINEZ, MARIA ELENA · 2015 to 2024
$20.7M
New Biospecimens to Enhance Research in the California Teachers Study CohortUM1CA164917 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI LACEY, JAMES V · 2012 to 2015
$10.1M
NCCDPHP CDC HHS NU58DP006344NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA023100NCI NIH HHS P30 CA033572NCI NIH HHS R01 CA077398NCI NIH HHS U01 CA199277NCI NIH HHS UM1 CA164917
6 · The paper itself

Abstract

backgroundLike 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.

methodsThe 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.

resultsThe 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).

conclusionsAn 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.

Indexed as

Reminder SystemsAdultAgedAged, 80 and overAge FactorsCancer SurvivorsData CollectionFemaleHumansInternet-Based InterventionLongitudinal StudiesMarketingMiddle AgedMobile ApplicationsNeoplasmsPatient Participation

Identifiers

PMID32054690
PMCPMC8667715

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.