Discover data collection instruments and related materials in the Research Tools database. Please see our FAQ to learn more and email us at [email protected] to contribute your published or unpublished research tools.
1 - 10 of 18 Research Tools
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The Colored, Eco-Genetic Relationship Map (CEGRM)
Year: 2001Kenen and Preters designed the Colored Ecological and Genetic Relational Map (CEGRM), a pictoral map used to organize information about client relationships with biological and non-biological kin,
Research Population: AdultsValidation(s):Peters, J. A., Kenen, R., Giusti, R., Loud, J., Weissman, N., & Greene, M. H. (2004). Exploratory study of the feasibility and utility of the colored eco-genetic relationship map (CEGRM) in women at high genetic risk of developing breast cancer. Am J Med Genet Part A, 130A, 258–264.
Peters, J. A., Hoskins, L., Prindiville, S., Kenen, R., & Greene, M. H. (2006). Evolution of the colored eco-genetic relationship map (CEGRM) for assessing social functioning in women in hereditary breast-ovarian (HBOC) families. Journal of Genetic Counseling, 15(6), 477-489.
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Pediatric BRCA1/2 Testing Attitudes Scale (P-TAS)
Year: 2009Peshkin and colleagues developed and tested the Pediatric BRCA1/2 Testing Attitudes Scale (P-TAS) to assess parental attitudes about and interest in testing their minor children for BRCA 1/2 mutati
Research Population: AdultsValidation(s):- Peshkin, B. N., Demarco, T. A., Garber, J. E., Valdimarsdottir, H. B., Patenaude, A. F., Schneider, K. A., Schwartz, Marc D., & Tercyak, K. P. (2009). Brief assessment of parents' attitudes toward testing minor children for hereditary breast/ovarian cancer genes: Development and validation of the Pediatric BRCA1/2 Testing Attitudes Scale (P-TAS). Journal of Pediatric Psychology, 34(6), 627-638.
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Genetic Literacy Survey
Year: 2015Abrams and colleagues designed the Genetics Literacy Survey to gather information about how the public understands genomics and applies their knowledge in everyday scenarios beyond medical settings
Research Population: AdultsValidation(s):- Abrams, L. R., McBride, C. M., Hooker, G. W., Cappella, J. N., & Koehly, L. M. (2015). The Many Facets of Genetic Literacy: Assessing the Scalability of Multiple Measures for Broad Use in Survey Research. PLOS ONE, 10(10), e0141532.
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Feelings About genomiC Testing Results (FACToR) Questionnaire
Year: 2018This post-return of genetic test results survey assesses the psychosocial impact of receiving genomic findings by measuring how much participants had specific feelings such as anxiousness, nervousn
Research Population: AdultsValidation(s):- Li, M., Bennette, C. S., Amendola, L. M., Ragan Hart, M., Heagerty, P., Comstock, B., Tarczy-Hornoch, P., Fullerton, S. M., Regier, D. A., Burke, W., Trinidad, S. B., Jarvik, Gail P., Veenstra, D. L., Patrick, D. L. (2019). The feelings about genomiC testing results (FACToR) questionnaire: development and preliminary validation. Journal of Genetic Counseling, 28(2), 477-490.
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CSER Phase 2 - Feelings about Genomic Testing Results (FACToR) – Parent
Year: 2018This post-return of child genetic test results survey for parents assesses the psychosocial impact of receiving genomic findings by measuring how much participants had specific feelings such as anx
Research Population: ParentsValidation(s):- Li, M., Bennette, C. S., Amendola, L. M., Ragan Hart, M., Heagerty, P., Comstock, B., Tarczy-Hornoch, P., Fullerton, S. M., Regier, D. A., Burke, W., Trinidad, S. B., Jarvik, Gail P., Veenstra, D. L., Patrick, D. L. (2019). The feelings about genomiC testing results (FACToR) questionnaire: development and preliminary validation. Journal of Genetic Counseling, 28(2), 477-490.
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Subjective Numeracy Scale (SNS)
Year: 2007Fagerlin and colleagues developed the Subjective Numeracy Scale (SNS) to distinguish low- and high quantitative ability individuals for use with patients that need to understand the risks of medica
Research Population: AdultsValidation(s):- Zikmund-Fisher, B. J., Smith, D. M., Ubel, P. A., Fagerlin, A. (2007). Validation of the Subjective Numeracy Scale: effects of low numeracy on comprehension of risk communications and utility elicitations. Med Decis Making, 27(5), 663–671.
- McNaughton, C. D., Cavanaugh, K. L., Kripalani, S., Rothman, R. L., Wallston, K. A. (2015). Validation of a Short, 3-Item Version of the Subjective Numeracy Scale. Med Decis Making, 35(8), 932–936.
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Health Care System Distrust Scale
Year: 2004Rose and colleagues developed a 10-item scale to measure distrust of the United States healthcare system (defined as hospitals, health insurance companies, and medical research) for use in the inve
Research Population: AdultsValidation(s):- Rose, A., Peters, N., Shea, J. A., & Armstrong, K. (2004). Development and testing of the health care system distrust scale. Journal of general internal medicine, 19(1), 57-63.
- Shea, J. A., Micco, E., Dean, L. T., McMurphy, S., Schwartz, J. S., & Armstrong, K. (2008). Development of a revised Health Care System Distrust scale. J Gen Intern Med., 23(6), 727–732.
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SF-12 Health Survey
Year: 1996Ware and colleagues developed the SF-12, a shortened version of the 36-item short-form (SF-36) health survey, to measure physical and mental health in studies with large samples or constraints on q
Research Population: AdultsValidation(s):- Ware Jr., J. E., Kosinski, M., Keller, S. D. (1996). A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Medical care, 34(3), 220-233.
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The Personal Utility Scale (PrU)
Year: 2023The Patient Reported Utility (PRU) of Clinical Sequencing Survey asks participants to rate how useful they find nineteen outcomes of genome sequencing on a scale ranging from 1 (not at all useful)
Research Population: AdultsValidation(s):Turbitt, E., Kohler, J. N., Angelo, F., Miller, I. M., Lewis, K. L., Goddard, K. A. B., Wilfond, B. S, Biesecker, B. B., & Leo, M. C. (2023) The PrU: Development and validation of a measure to assess personal utility of genomic results. Genetics in Medicine, 25(3), 100356.
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Making improvements in hospital care survey
Year: 2016The Making Improvements in Hospital Care Survey is a 32-item survey instrument designed to measure patient preferences for consent to non-invasive, quality improvement interventions in the hospital
Research Population: AdultsValidation(s):- Kaplan, S. H., Gombosev, A., Fireman, S., Sabin, J., Heim, L., Shimelman, L., Kaganov, R., Osann, K., Tjoa, T. & Huang, S. S. (2016). The patient's perspective on the need for informed consent for minimal risk studies: Development of a survey-based measure. AJOB Empirical Bioethics, 7(2), 116-124.
Contact: [email protected]