The goal of the Survey Methods Core (SMC) is to assist Moffitt Cancer Center (MCC) members with survey research design, implementation, and execution. The SMC aims to: 1) consult with potential users on selection and implementation of existing survey tools and/or design of new applications and approaches; 2) support members by providing high-quality survey-related services utilizing scannable and web-based applications; and 3) educate and train investigators and staff on qualitative research methods and resource tools. The SMC consists of two full-time and one part-time bilingual (Spanish/English) staff members. The SMC assists with all phases of the survey process, including testing recall, comprehension, and alternative wording for survey instruments; assessing various interviewing techniques and respondent incentives; and comparing data collection modalities. The SMC provides expertise in the selection of published measures and tools and development of new, study-specific measures. In addition, it provides training and assistance in all aspects of cognitive interviewing, including focus groups, individual interviews, think-aloud sessions, and other methods used to study respondent and interviewer reactions to survey questions, response categories, and procedures. Training in data collection and analysis are offered twice a year to MCC as a whole and individually as needed to members and their staff on a project-specific basis. The SMC provides expertise in the production of survey forms and their electronic processing once completed by respondents, including data capture by conducting telephone interviews and using an SMC-designed web-based survey as the method of entry. Users receive verified raw data tables in a form suitable for statistical analysis, often conducted by the Biostatistics Core. SMC services add value and affect cancer care delivery, quality of life, prevention, detection, and health disparities research through access to cognitive interviewing techniques to ensure that novel survey questions can be completed as intended. Utilization of participant self-reported information in a valid and reliable manner is improved through consultation and pre-testing. Efficiency in data collection is increased through the use of scannable forms and web-based surveys. This is particularly beneficial for large-scale studies or studies that administer surveys at multiple sites, to have the process streamlined and standardized for data collection. The SMC employs the use of a Laboratory Information Management System (LIMS) to consolidate usage tracking, scheduling, and billing functions. The LIMS also provides a secure repository for project and data management, which is accessible by members and their laboratory staff. During the prior award period, the SMC assisted 47 users from all five Programs and supported 65 peer-reviewed publications. In the last fiscal year, the SMC provided service for 19 members, with 86% of total usage by peer-review-funded members.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA076292-19
Application #
9209822
Study Section
Subcommittee A - Cancer Centers (NCI-A)
Project Start
Project End
Budget Start
2017-02-01
Budget End
2018-01-31
Support Year
19
Fiscal Year
2017
Total Cost
$44,054
Indirect Cost
$18,441
Name
H. Lee Moffitt Cancer Center & Research Institute
Department
Type
Research Institutes
DUNS #
139301956
City
Tampa
State
FL
Country
United States
Zip Code
33612
Dai, Juncheng; Li, Zhihua; Amos, Christopher I et al. (2018) Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci. Carcinogenesis :
Cherezov, Dmitry; Hawkins, Samuel H; Goldgof, Dmitry B et al. (2018) Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening Trial. Cancer Med 7:6340-6356
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Lin, Hui-Yi; Huang, Po-Yu; Chen, Dung-Tsa et al. (2018) AA9int: SNP interaction pattern search using non-hierarchical additive model set. Bioinformatics 34:4141-4150
Neumeyer, Sonja; Banbury, Barbara L; Arndt, Volker et al. (2018) Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer. Br J Cancer 118:1639-1647
Hellmann, Matthew D; Callahan, Margaret K; Awad, Mark M et al. (2018) Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer. Cancer Cell 33:853-861.e4
Trabert, Britton; Poole, Elizabeth M; White, Emily et al. (2018) Analgesic Use and Ovarian Cancer Risk: An Analysis in the Ovarian Cancer Cohort Consortium. J Natl Cancer Inst :
Palmer, Amanda M; Brandon, Thomas H (2018) How do electronic cigarettes affect cravings to smoke or vape? Parsing the influences of nicotine and expectancies using the balanced-placebo design. J Consult Clin Psychol 86:486-491
Dougoud-Chauvin, Vérène; Lee, Jae Jin; Santos, Edgardo et al. (2018) Using Big Data in oncology to prospectively impact clinical patient care: A proof of concept study. J Geriatr Oncol 9:665-672

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