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Witbracht M, Xu Y, Morgan OB, Salazar CR, Hoang D, Kind A, Gillen DL, Grill JD. Research Attitudes Questionnaire scores and retention in a recruitment registry. J Alzheimers Dis 2025; 103:406-418. [PMID: 39814522 DOI: 10.1177/13872877241302422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2025]
Abstract
BACKGROUND Recruitment registries are maximally effective when registrants are retained to the point of referral. The Research Attitudes Questionnaire (RAQ) has previously been shown to predict research participation behaviors, including Alzheimer's disease clinical trial completion. OBJECTIVE To test the hypothesis that RAQ score is associated with retention behaviors in a local recruitment registry. METHODS Using data from the UC Irvine Consent-to-Contact Registry, a recruitment registry that enrolls adults 18 years and older, we used logistic regression to quantify the association of RAQ score and the odds of first-year non-renewal. Covariates included demographic variables, comorbidities, and recruitment source. In longitudinal analyses, we used discrete proportional hazards and Cox proportional hazards models to quantify the relationship between RAQ score and time to non-renewal and time to active withdrawal, respectively. RESULTS Among n = 4663 participants, we estimated that a 5-point higher baseline RAQ score was associated with a 15% lower odds of first-year non-renewal, after adjustment for potential confounding factors (OR: 0.85, 95% CI: (0.79, 0.92), p < 0.001). Older age and higher education were also associated with lower odds of non-renewal while Asian race, Hispanic ethnicity, and certain recruitment sources (e.g., doctor or friend referral) were associated with higher odds of non-renewal. Higher baseline RAQ and higher annually updated RAQ were both significantly associated with lower odds of non-renewal longitudinally. Age, education, and some recruitment sources, but not RAQ, were associated with active withdrawal. CONCLUSIONS Opportunities exist to identify predictors of registry retention behaviors and possible targets for intervention to improve related outcomes.
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Affiliation(s)
- Megan Witbracht
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Yiren Xu
- Department of Statistics, University of California, Irvine, Irvine, CA, USA
| | - Olivia B Morgan
- Department of Statistics, University of California, Irvine, Irvine, CA, USA
| | - Christian R Salazar
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Dan Hoang
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Amy Kind
- Center for Health Disparities Research, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Medicine, Division of Geriatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Daniel L Gillen
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
- Department of Statistics, University of California, Irvine, Irvine, CA, USA
| | - Joshua D Grill
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
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Schultz AA, Nelson-Bakkum E, Nikodemova M, Luongo S, Barnet JH, Walsh MC, Bersch A, Sethi A, Peppard P, Cadmus-Bertram L, Engelman CD, Lubsen J, Jackson T, Mc Malecki K. Participant attrition from statewide, population-based Survey of the Health of Wisconsin into the longitudinal SHOW COVID-19 cohort. Ann Epidemiol 2024; 94:9-18. [PMID: 38604574 DOI: 10.1016/j.annepidem.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 04/05/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
PURPOSE Longitudinal studies are essential for examining how social and institutional determinants of health, historical and contemporary, affect disparities in COVID-19 related outcomes. The unequal impacts of COVID-19 likely exacerbated selected attrition in longitudinal research. This study examines attrition and survey mode effects in the SHOW COVID-19 study which recruited from a statewide, representative cohort. MATERIALS & METHODS Participants were recruited from the Survey of the Health of Wisconsin (SHOW) cohort. Online surveys, or phone interviews, were administered at three timepoints during 2020-2021. The surveys captured social, behavioral, and structural determinants of health and the lived experience. Univariate and multivariate logistic regression was used to examine predictors of participation and survey mode effects. RESULTS A total of 2304 adults completed at least one COVID-19 online survey. Participants were more educated, older, and more likely to be female, married, non-Hispanic, and White compared to non-participants. Phone participants were older, less educated, and more likely be non-White, food insecure, and have co-morbidities compared to online participants. Mode effects were seen with reporting COVID-19 beliefs, loneliness, and anxiety. CONCLUSION The SHOW COVID-19 cohort offers unique longitudinal data but suffered from selected attrition. Phone interview is an important mode for retention and representation.
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Affiliation(s)
- Amy A Schultz
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA.
| | - Erin Nelson-Bakkum
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Maria Nikodemova
- University of Florida, Public Health & Health Professions, Gainesville, FL, USA
| | - Sarah Luongo
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Jodi H Barnet
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Matthew C Walsh
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Andrew Bersch
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Ajay Sethi
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Paul Peppard
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Lisa Cadmus-Bertram
- University of Wisconsin Madison, Department of Kinesiology, School of Medicine and Public Health Madison, WI, USA
| | - Corinne D Engelman
- University of Wisconsin Madison, Department of Population Health Sciences, School of Medicine and Public Health, Madison, WI, USA
| | - Julia Lubsen
- University of Wisconsin-Madison, Department of Family Medicine, School of Medicine and Public Health Madison, WI, USA
| | - Tarakee Jackson
- Medical College of Wisconsin, Department of Medicine, Milwaukee, WI, USA
| | - Kristen Mc Malecki
- University of Illinois Chicago, School of Public Health, Chicago, IL, USA
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