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Man Versus Machine: Comparing Double Data Entry and Optical Mark Recognition for Processing CAHPS Survey Data.

Matthew Fifolt1, Justin Blackburn, David J Rhodes

  • 1Departments of Health Care Organization and Policy (Drs Fifolt, Blackburn, and Rucks) and Biostatistics (Mr Rhodes and Mss Gillespie and Bennett) and Survey Research Unit (Mr Wolff), School of Public Health, The University of Alabama at Birmingham, Birmingham.

Quality Management in Health Care
|July 1, 2017
PubMed
Summary
This summary is machine-generated.

Optical Mark Recognition (OMR) offers greater operational efficiency and cost savings compared to double data entry (DDE) for healthcare surveys. While DDE traditionally ensures accuracy, OMR provides comparable results with significant financial benefits.

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Area of Science:

  • Health Services Research
  • Data Management
  • Health Informatics

Background:

  • Double data entry (DDE) is historically recognized as the gold standard for minimizing data entry errors.
  • Prior research primarily evaluated data entry alternatives based solely on data accuracy.
  • This study expands the evaluation to include operational efficiency and cost-effectiveness.

Purpose of the Study:

  • To compare the data accuracy, operational efficiency, and costs of DDE versus Optical Mark Recognition (OMR).
  • To evaluate these methods specifically for processing the Consumer Assessment of Healthcare Providers and Systems (CAHPS) 5.0 survey.

Main Methods:

  • Data accuracy was assessed by comparing error rates (arbitrated surveys divided by total processed surveys) for both DDE and OMR.
  • Operational efficiency and costs were determined by calculating expenses post-survey receipt, including personnel and equipment costs.

Main Results:

  • Optical Mark Recognition (OMR) demonstrated superior operational efficiency, leading to significant financial savings.
  • While statistical significance in arbitration rates was observed between DDE and OMR, it lacked practical significance.
  • The cost savings from OMR outweighed any potential data accuracy benefits of DDE.

Conclusions:

  • The operational efficiency and financial advantages of OMR surpass the perceived data accuracy benefits of DDE.
  • OMR presents a more cost-effective solution for processing large-scale healthcare surveys like CAHPS 5.0.