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Chyou PH, Schroeder D, Schwei K, et al. Statistical Application and Cost Saving in a Dental Survey. Clin Med Res. 2017;15(1):1-5doi: 10.3121/cmr.2017.1323.
Chyou, P. H., Schroeder, D., Schwei, K., & Acharya, A. (2017). Statistical Application and Cost Saving in a Dental Survey. Clinical medicine & research, 15(1), 1-5. https://doi.org/10.3121/cmr.2017.1323
Chyou, Po-Huang, et al. "Statistical Application and Cost Saving in a Dental Survey." Clinical medicine & research vol. 15,1 (2017): 1-5. doi: https://doi.org/10.3121/cmr.2017.1323
Chyou PH, Schroeder D, Schwei K, Acharya A. Statistical Application and Cost Saving in a Dental Survey. Clin Med Res. 2017 Jun;15(1):1-5. doi: 10.3121/cmr.2017.1323. Epub 2017 Apr 03. PMID: 28373286; PMCID: PMC5573523.
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Clin Med Res. 2017 Jun;15(1):1-5. doi: 10.3121/cmr.2017.1323. Epub 2017 Apr 03.

Statistical Application and Cost Saving in a Dental Survey.

Clinical medicine & research

Po-Huang Chyou, Dixie Schroeder, Kelsey Schwei, Amit Acharya

Affiliations

  1. Biomedical Informatics Research Center at Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA [email protected].
  2. Center for Oral and Systemic Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA.

PMID: 28373286 PMCID: PMC5573523 DOI: 10.3121/cmr.2017.1323

Abstract

OBJECTIVE: To effectively achieve a robust survey response rate in a timely manner, an alternative approach to survey distribution, informed by statistical modeling, was applied to efficiently and cost-effectively achieve the targeted rate of return.

DESIGN: A prospective environmental scan surveying adoption of health information technology utilization within their practices was undertaken in a national pool of dental professionals (N=8000) using an alternative method of sampling. The piloted approach to rate of cohort sampling targeted a response rate of 400 completed surveys from among randomly targeted eligible providers who were contacted using replicated subsampling leveraging mailed surveys.

METHODS: Two replicated subsample mailings (n=1000 surveys/mailings) were undertaken to project the true response rate and estimate the total number of surveys required to achieve the final target. Cost effectiveness and non-response bias analyses were performed.

RESULTS: The final mailing required approximately 24% fewer mailings compared to targeting of the entire cohort, with a final survey capture exceeding the expected target. An estimated $5000 in cost savings was projected by applying the alternative approach. Non-response analyses found no evidence of bias relative to demographics, practice demographics, or topically-related survey questions.

CONCLUSION: The outcome of this pilot study suggests that this approach to survey studies will accomplish targeted enrollment in a cost effective manner. Future studies are needed to validate this approach in the context of other survey studies.

© 2017 Marshfield Clinic.

Keywords: Cost Effectiveness; Mailing; Sample size; Survey

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