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Assessing electronic health record implementation challenges using item response theory.

Kitty S Chan, Hadig Kharrazi, Megha A Parikh

  • 1624 N. Broadway, Ste 533, Baltimore, MD 21205.

The American Journal of Managed Care
|December 17, 2016
PubMed
Summary
This summary is machine-generated.

Item response theory (IRT) reveals different key challenges for electronic health record (EHR) implementation than traditional methods. Physician cooperation and ongoing costs are major hurdles, not just initial expenses.

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Area of Science:

  • Health Informatics
  • Health Services Research
  • Statistical Modeling

Background:

  • Electronic Health Records (EHRs) are crucial for modern healthcare delivery.
  • Successful EHR implementation faces numerous challenges impacting adoption and usability.
  • Previous assessments often rely on descriptive statistics, potentially misrepresenting challenge severity.

Purpose of the Study:

  • To evaluate the significance of common electronic health record (EHR) implementation issues using Item Response Theory (IRT).
  • To compare IRT findings with traditional descriptive statistics for EHR implementation challenges.
  • To provide accurate insights for healthcare managers and policymakers.

Main Methods:

  • Utilized secondary data from the 2012 American Hospital Association's Annual Survey Information Technology Supplement.
  • Applied Item Response Theory (IRT) to quantify the difficulty of EHR implementation challenges.
  • Contrasted IRT results with standard descriptive frequency statistics.

Main Results:

  • IRT analysis produced different results compared to descriptive statistics regarding EHR implementation challenges.
  • IRT identified "obtaining physician cooperation" and "ongoing costs of maintaining and upgrading systems" as the most significant challenges.
  • Descriptive statistics indicated "upfront capital costs" and "complexity of meeting Meaningful Use criteria" as the primary challenges.

Conclusions:

  • Accurate assessment of EHR implementation challenges is vital for effective program design by managers and policymakers.
  • IRT offers a robust statistical method for re-evaluating prior studies and enhancing future survey-based research.
  • IRT allows for the collection of valuable data using simple survey formats while maintaining statistical rigor.