Recruiting Women for a Study on Perceived Risk of Cancer: Influence of Survey Topic Salience and Early Versus Late Response

Leadbetter, Steven; Hawkins, Nikki A.; Scholl, Lawrence E.; McCarty, Frances; Rodriguez, Juan L.; Freedner-Maguire, Naomi; Alford, Sharon Hensley; Bellcross, Cecelia; Peipins, Lucy A.

doi:10.5888/pcd10.120293

Cited by 9 publications

(9 citation statements)

References 17 publications

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“…Sending fewer reminders saves time and money when surveys are administered by post. Additionally, previous work suggests that late responders often differ from early responders both demographically and in their survey responses [ 32 - 35 ]. Techniques that recruit physicians who intend to respond, but are prone to delaying participation, help ensure their unique perspectives are represented in the study sample.…”

Section: Discussionmentioning

confidence: 99%

Allowing Physicians to Choose the Value of Compensation for Participation in a Web-Based Survey: Randomized Controlled Trial

Turnbull¹,

O'Connor²,

Lau³

et al. 2015

J Med Internet Res

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BackgroundSurvey response rates among physicians are declining, and determining an appropriate level of compensation to motivate participation poses a major challenge.ObjectiveTo estimate the effect of permitting intensive care physicians to select their preferred level of compensation for completing a short Web-based survey on physician (1) response rate, (2) survey completion rate, (3) time to response, and (4) time spent completing the survey.MethodsA total of 1850 US intensivists from an existing database were randomized to receive a survey invitation email with or without an Amazon.com incentive available to the first 100 respondents. The incentive could be instantly redeemed for an amount chosen by the respondent, up to a maximum of US $50.ResultsThe overall response rate was 35.90% (630/1755). Among the 35.4% (111/314) of eligible participants choosing the incentive, 80.2% (89/111) selected the maximum value. Among intensivists offered an incentive, the response was 6.0% higher (95% CI 1.5-10.5, P=.01), survey completion was marginally greater (807/859, 94.0% vs 892/991, 90.0%; P=.06), and the median number of days to survey response was shorter (0.8, interquartile range [IQR] 0.2-14.4 vs 6.6, IQR 0.3-22.3; P=.001), with no difference in time spent completing the survey.ConclusionsPermitting intensive care physicians to determine compensation level for completing a short Web-based survey modestly increased response rate and substantially decreased response time without decreasing the time spent on survey completion.

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Section: Discussionmentioning

confidence: 99%

Allowing Physicians to Choose the Value of Compensation for Participation in a Web-Based Survey: Randomized Controlled Trial

Turnbull¹,

O'Connor²,

Lau³

et al. 2015

J Med Internet Res

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“…Detailed information on survey design and implementation has been previously published. 25 Briefly, computer-assisted telephone interviews were conducted between 16 January and 13 December 2008 among eligible women ≥30 years of age, with no previous history of ovarian cancer or bilateral oophorectomy.…”

Section: Methodsmentioning

confidence: 99%

Characteristics associated with genetic counseling referral and BRCA1/2 testing among women in a large integrated health system

Bellcross

Peipins

McCarty

et al. 2015

Genetics in Medicine

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Background Evidence shows underutilization of cancer genetics services. To explore the reasons behind this underutilization, this study evaluated characteristics of women who were referred for genetic counseling and/or had undergone BRCA1/2 testing. Methods An ovarian cancer risk perception study stratified 16,720 eligible women from the Henry Ford Health System into average-, elevated-, and high-risk groups based on family history. We randomly selected 3,307 subjects and interviewed 2,524 of them (76.3% response rate). Results Among the average-, elevated-, and high-risk groups, 2.3, 10.1, and 20.2%, respectively, reported genetic counseling referrals, and 0.8, 3.3, and 9.5%, respectively, reported having undergone BRCA testing. Personal breast cancer history, high risk, and perceived ovarian cancer risk were associated with both referral and testing. Discussion of family history with a doctor predicted counseling referral, whereas belief that family history influenced risk was the strongest BRCA testing predictor. Women perceiving their cancer risk as much higher than other women their age were twice as likely (95% confidence interval: 2.0–9.6) to report genetic counseling referral. Conclusion In a health system with ready access to cancer genetic counseling and BRCA testing, women who were at high risk underutilized these services. There were strong associations between perceived ovarian cancer risk and genetic counseling referral, and between a belief that family history influenced risk and BRCA testing.

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“…The study was conducted among women in the Henry Ford Health System (HFHS) in Detroit, Michigan, which serves the primary and specialty health care needs of many residents in southeastern Michigan. Details on the sampling strategy and implementation of this survey have been previously published .…”

Section: Methodsmentioning

confidence: 99%

Cognitive and affective influences on perceived risk of ovarian cancer

Peipins¹,

McCarty

Hawkins³

et al. 2014

Psycho-Oncology

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Introduction Studies suggest that both affective and cognitive processes are involved in the perception of vulnerability to cancer and that affect has an early influence in this assessment of risk. We constructed a path model based on a conceptual framework of heuristic reasoning (affect, resemblance, and availability) coupled with cognitive processes involved in developing personal models of cancer causation. Methods From an eligible cohort of 16 700 women in a managed care organization, we randomly selected 2524 women at high, elevated, and average risk of ovarian cancer and administered a questionnaire to test our model (response rate 76.3%). Path analysis delineated the relationships between personal and cognitive characteristics (number of relatives with cancer, age, ideas about cancer causation, perceived resemblance to an affected friend or relative, and ovarian cancer knowledge) and emotional constructs (closeness to an affected relative or friend, time spent processing the cancer experience, and cancer worry) on perceived risk of ovarian cancer. Results Our final model fit the data well (root mean square error of approximation (RMSEA) = 0.028, comparative fit index (CFI) = 0.99, normed fit index (NFI) = 0.98). This final model (1) demonstrated the nature and direction of relationships between cognitive characteristics and perceived risk; (2) showed that time spent processing the cancer experience was associated with cancer worry; and (3) showed that cancer worry moderately influenced perceived risk. Discussion Our results highlight the important role that family cancer experience has on cancer worry and shows how cancer experience translates into personal risk perceptions. This understanding informs the discordance between medical or objective risk assessment and personal risk assessment.

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Recruiting Women for a Study on Perceived Risk of Cancer: Influence of Survey Topic Salience and Early Versus Late Response

Cited by 9 publications

References 17 publications

Allowing Physicians to Choose the Value of Compensation for Participation in a Web-Based Survey: Randomized Controlled Trial

Allowing Physicians to Choose the Value of Compensation for Participation in a Web-Based Survey: Randomized Controlled Trial

Characteristics associated with genetic counseling referral and BRCA1/2 testing among women in a large integrated health system

Cognitive and affective influences on perceived risk of ovarian cancer

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