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Related Experiment Videos

Statistical Application and Cost Saving in a Dental Survey.

Po-Huang Chyou1, Dixie Schroeder2, Kelsey Schwei2

  • 1Biomedical Informatics Research Center at Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA chyou.po-huang@mcrf.mfldclin.edu.

Clinical Medicine & Research
|April 5, 2017
PubMed
Summary

A new survey distribution method using statistical modeling achieved target response rates efficiently and cost-effectively. This approach reduced mailings by 24% and saved an estimated $5000, with no evidence of non-response bias.

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Area of Science:

  • Health Services Research
  • Survey Methodology
  • Dental Informatics

Background:

  • Achieving robust survey response rates in a timely and cost-effective manner is a persistent challenge in research.
  • Traditional survey distribution methods can be inefficient and resource-intensive.

Purpose of the Study:

  • To evaluate an alternative, statistically informed approach to survey distribution for improving efficiency and cost-effectiveness.
  • To achieve a targeted response rate for a national survey of dental professionals regarding health information technology adoption.

Main Methods:

  • A prospective environmental scan surveyed 8000 dental professionals using a novel sampling method.
  • Replicated subsampling with mailed surveys and two mailings (n=1000 each) were employed to project response rates.
Keywords:
Cost EffectivenessMailingSample sizeSurvey

Related Experiment Videos

  • Cost-effectiveness and non-response bias analyses were conducted.

    • Main Results:

    • The alternative approach required 24% fewer mailings than targeting the entire cohort, exceeding the target response rate.
    • An estimated $5000 in cost savings was projected.
    • Non-response analyses revealed no significant bias related to demographics or practice characteristics.

    Conclusions:

    • The pilot study indicates that this statistical modeling-informed survey approach can achieve targeted enrollment cost-effectively.
    • Further research is recommended to validate this methodology across diverse survey studies.