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 Please see our FAQ to learn more and email us at [email protected] to contribute your published or unpublished research tools.
11 - 20 of 27 Research Tools
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CSER Phase 1: Baylor Advancing Sequencing into Childhood Cancer Care (BASIC3 Study)
Child Health QuestionnaireThis questionnaire was developed for use in the BASIC3 study. It collects demographic and health information from parents about their child.
Research Population: Parents -
CSER Phase 1: MedSeq Trials Published Study Protocol
Year: 2014This published study protocol for the MedSeq trials includes a description of the study design; recruitment, enrollment, and sample size plan; patient exclusion/inclusion criteria; and process of i
Research Population: Physicians, Adults -
CSER Phase 1: The Institutional and Professional Impact of Genomic Sequencing in Cancer Care Study Protocol
Year: 2014This document is the study protocol of the Institutional and Professional Impact of Genomic Sequencing in Cancer Care study.
Research Population: Physicians -
CSER Phase 1: The use of sequencing to guide the care of cancer patients (CanSeq) study protocol
Year: 2015This document is the Use of Sequencing to Guide the Care of Cancer Patients study protocol.
Research Population: Adults -
CSER Phase 1: Personalized Oncology Through High-throughput Sequencing:
MI-ONCOSEQ Study Protocol
Year: 2015The Personalized Oncology Through High-throughput Sequencing: MI-ONCOSEQ (Michigan Oncology Sequencing Center) (formerly known as “Personalized Medicine Based on Molecular Profiling of Patients wit
Research Population: Adults -
CSER Phase 1: Personalized Medicine Based on Molecular Profiling of Pediatric and Young Adult Patients with Cancer Study Protocol
Year: 2015The Personalized Medicine Based on Molecular Profiling of Patients with Cancer implements a mechanism for patients who have advanced or refractory cancer to undergo tumor sequencing, sequence analy
Research Population: Adults -
Genome Empowerment Scale (GEmS)
Year: 2019The GEmS can be used to assess the genomic healthcare empowerment of parents (e.g., the meaning of a diagnosis for their child, emotional management of the process, their confidence in utilizing th
Research Population: ParentsValidation(s):- McConkie-Rosell, A., Schoch, K., Sullivan, J., Spillmann, R. C., Cope, H., Tan, Q. K.-G., Palmer, C. G. S., Undiagnosed Disease Network,, Hooper, S. R., & Shashi, V. (2021). Clinical application of a scale to assess genomic healthcare empowerment (GEmS): Process and illustrative case examples. Journal of Genetic Counseling. Epub ahead of print.
- McConkie-Rosell, A., Schoch, K., Sullivan, J., Cope, Heidi, Spillmann, R. C., Palmer, C. G. S., Pena, Loren, Jiang, Y., Daniels, N., Walley, N., Tan, K. G., Undiagnosed Diseases Network, Hooper, S. R., Shashi, V. (2019). The Genome Empowerment Scale (GEmS): An assessment of parental empowerment in families with undiagnosed diseases. Clinical Genetics, 96(6), 521-531.
Contact: [email protected] -
15-Item Genetic Essentialism Scale for Race (GESR)
Year: 2019The Genetic Essentialism Scale for Race (GESR) measures beliefs about the relationship between genes and race with 15 items.
Research Population: AdultsValidation(s):- Yaylacı, Ş., Roth, W. D., & Jaffe, K. (2019). Measuring racial essentialism in the genomic era: The genetic essentialism scale for race (GESR). Current Psychology, 1-15.
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CSER Phase 1: Personalized Oncology Through High-throughput Sequencing:
MI-ONCOSEQ Study ProtocolYear: 2015The Personalized Oncology Through High-throughput Sequencing: MI-ONCOSEQ (Michigan Oncology Sequencing Center) (formerly known as “Personalized Medicine Based on Molecular Profiling of Patients wit
Research Population: Adults -
Trust in Medical Researchers (Full and Short Scales)
Year: 2006Hall and colleagues report the development and validation of 12-item survey and a short form (4-item) survey designed to measure trust in medical researchers.
Research Population: AdultsValidation(s):- Cunningham-Erves, J., Villalta-Gil, V., Wallston, K. A., Boyer, A. P., & Wilkins, C. H. (2019). Racial differences in two measures of trust in biomedical research. Journal of clinical and translational science, 3(2-3), 113-119.
- Hall, M. A., Camacho, F., Lawlor, J. S., DePuy, V., Sugarman, J., & Weinfurt, K. (2006). Measuring trust in medical researchers. Medical care, 44(11), 1048-1053.
Contact: [email protected]