Reliability and validity of the American Hospital Association's national longitudinal survey of health information technology adoption

J Am Med Inform Assoc. 2014 Oct;21(e2):e257-63. doi: 10.1136/amiajnl-2013-002449. Epub 2014 Mar 12.

Abstract

Objective: To evaluate the internal consistency, construct validity, and criterion validity of a battery of items measuring information technology (IT) adoption, included in the American Hospital Association (AHA) IT Supplement Survey.

Methods: We analyzed the 2012 release of the AHA IT Supplement Survey. We performed reliability analysis using Cronbach's α and part-whole correlations, construct validity analysis using principal component analysis (PCA), and criterion validity analysis by assessing the items' sensitivity and specificity of predicting attestation to Medicare Meaningful Use (MU).

Results: Twenty-eight items of the 31-item instrument and five of six functionality subcategories defined by the AHA all produced reliable scales (α's between 0.833 and 0.958). PCA mostly confirmed the AHA's categorization of functionalities; however, some items loaded only weakly onto the factor most associated with their survey category, and one category loaded onto two separate factors. The battery of items was a valid predictor of attestation to MU, producing a sensitivity of 0.82 and a specificity of 0.72.

Discussion: The battery of items performed well on most indices of reliability and validity. However, they lack some components of ideal survey design, leaving open the possibility that respondents are not responding independently to each item in the survey. Despite measuring only a portion of the objectives required for attestation to MU, the items are a moderately sensitive and specific predictor of attestation.

Conclusions: The analyzed instrument exhibits satisfactory reliability and validity.

Keywords: Electronic Health Records; Hospitals; Meaningful Use; Medical Informatics; Reliability and Validity.

Publication types

  • Validation Study

MeSH terms

  • American Hospital Association
  • Data Collection*
  • Diffusion of Innovation
  • Longitudinal Studies
  • Medical Informatics*
  • Reproducibility of Results
  • United States