The association between use of a clinical decision support tool and adherence to monitoring for medication- laboratory guidelines in the ambulatory setting

B. Lau, C. L. Overby, H. S. Wirtz, E. B. Devine

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background: Stage 2 Meaningful Use criteria require the use of clinical decision support systems (CDSS) on high priority health conditions to improve clinical quality measures. Although CDSS hold great promise, implementation has been fraught with challenges, evidence of their impact is mixed, and the optimal method of content delivery is unknown. Objective: The authors investigated whether implementation of a simple clinical decision support (CDS) tool was associated with improved prescriber adherence to national medication-laboratory monitoring guidelines for safety (hepatic function, renal function, myalgias/rhabdomyolysis) and intermediate outcomes for antidiabetic (Hemoglobin A1c HbA1c) and antihyperlipidemic (low density lipoprotein; LDL) medications prescribed within a diabetes registry. Methods: This was a retrospective observational study conducted in three phases of CDS implementation (2008-2009): pre-, transition-, and post-Prescriptions evaluated were ordered from an electronic health record within a multispecialty medical group. Adherence was evaluated within and without applying guideline-imposed time constraints. Results: Forty-thousand prescriptions were ordered over three timeframes. For hepatic and renal function, the proportion of prescriptions for which labs were monitored at any time increased from 52% to 65% (p<0.001); those that met time guidelines, from 14% to 21% (p<0.001). Only 6% of required labs were drawn to monitor for myalgias/rhabdomyolysis, regardless of timeframe. Over 90% of safety labs were within normal limits. The proportion of labs monitored at any time for LDL increased from 56% to 64% (p<0.001); those that met time guidelines from 11% to 17% (p<0.001). The proportion of labs monitored at any time for HbA1c remained the same (72%); those that met time guidelines decreased from 45% to 41% (p<0.001). Conclusions: A simple CDS tool may be associated with improved adherence to guidelines. Efforts are needed to confirm findings and improve the timeliness of monitoring; investigations to optimize alerts should be ongoing.

Original languageEnglish (US)
Pages (from-to)476-498
Number of pages23
JournalApplied clinical informatics
Volume4
Issue number4
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Adherence to guidelines
  • Clinical decision support
  • Clinical guidelines
  • Meaningful use
  • Medication laboratory test monitoring

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Health Information Management

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