Statistical Application and Cost Saving in a Dental Survey

Clin Med Res. 2017 Jun;15(1-2):1-5. doi: 10.3121/cmr.2017.1323. Epub 2017 Apr 3.

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.

Keywords: Cost Effectiveness; Mailing; Sample size; Survey.

MeSH terms

  • Dentists*
  • Female
  • Health Information Systems*
  • Humans
  • Male
  • Models, Statistical*
  • Pilot Projects
  • Surveys and Questionnaires*