ArticlePreventing chronic disease2013
Recruiting women for a study on perceived risk of cancer: influence of survey topic salience and early versus late response.
Article in Preventing chronic disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Allowing Physicians to Choose the Value of Compensation for Participation in a Web-Based Survey: Randomized Controlled Trial.Journal of medical Internet research · 2015Trial
- Cognitive and affective influences on perceived risk of ovarian cancer.Psycho-oncology · 2015Trial
- Clinician and patient perspectives on screening mammography among women age 75 and older: A pilot study of a novel decision aid.PEC innovation · 2023Article
- Article
- CBPR-Informed Recruitment and Retention Adaptations in a Randomized Study of Pap Testing Among Pacific Islanders in Southern California.Progress in community health partnerships : research, education, and action · 2015Article
- Characteristics associated with genetic counseling referral and BRCA1/2 testing among women in a large integrated health system.Genetics in medicine : official journal of the American College of Medical Genetics · 2015Article
- Cancer screening among a population-based sample of insured women.Preventive medicine reports · 2015Article
- Identifying hopelessness in population research: a validation study of two brief measures of hopelessness.BMJ open · 2014Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
introductionUnderstanding the characteristics of early and late survey responders has implications for recruitment efforts and for informing potential response bias. The main objective of this analysis was to examine survey responder status (ie, early vs late response) by sociodemographic characteristics and by salience of study variables among respondents.
methodsWe analyzed data from a survey on family cancer history and perceived cancer risk among women at a large managed health-care organization. For baseline and 12-month follow-up surveys, we defined early versus late responder status according to the 95th percentile of the number of days it took to obtain completed interviews.
resultsWe found no significant associations between responder status and sociodemographic characteristics at baseline or follow-up. At baseline, early responders were significantly more likely than late responders to have a personal history of breast cancer (5.2% vs 3.4%, P = .04) and to have been referred for genetic counseling (4.6% vs 2.0%, P = .004). The association between personal history of breast cancer and responder status persisted at follow-up; only 3.5% of late responders at baseline were also late responders at follow-up. Follow-up survey nonresponse rates did not vary by baseline responder status.
conclusionSurvey topic salience is associated with early response and is important for recruitment. However, once recruited, late responders do not remain late responders at follow-up, suggesting that extra efforts made to recruit late responders are worthwhile. Health-related agencies that conduct surveys should consider survey salience in survey administration and recruitment strategies.
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Registered trials
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.