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Choosing Wisely Clinical Decision Support Adherence and Associated Inpatient Outcomes
Andrew M. Heekin, PhD; John Kontor, MD; Harry C. Sax, MD; Michelle S. Keller, MPH; Anne Wellington, BA; and Scott Weingarten, MD
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Choosing Wisely Clinical Decision Support Adherence and Associated Inpatient Outcomes

Andrew M. Heekin, PhD; John Kontor, MD; Harry C. Sax, MD; Michelle S. Keller, MPH; Anne Wellington, BA; and Scott Weingarten, MD
This analysis examines the associations between adherence to Choosing Wisely recommendations embedded into clinical decision support alerts and 4 measures of resource use and quality.
Limitations

One limitation is our strict definition of “alert compliance”: In order to be in the adherent encounter group, providers had to be adherent to all of the CW CDS-related alerts. Patient episodes in which clinicians followed some but not all of the CW alerts that fired were considered “mixed-adherence” episodes and were excluded from analysis. This strict inclusion criterion limits our understanding of the clinical and financial impacts that patients with partially adherent episodes may have experienced. Similarly, we were unable to differentiate the impact of specific alerts on our studied outcomes. Although there appear to be some differences between individual alerts, our study did not have enough power to make inferences due to its small sample sizes. Another key limitation of this study is the lack of control for provider effects. The analysis did not include provider characteristics and thus could not examine confounding on the provider level; it is possible that some providers are more likely to trigger alerts or are more likely to be nonadherent to alerts, even though we found no overall correlation between provider acceptance rate and provider outcomes. Additionally, providers who are more likely to adhere to evidence-based guidelines, including CW, may be more likely to ascribe to other system-based approaches and practices consistent with value-based patient care. We need to better understand the differences in characteristics and practice patterns of providers who adhere to CW recommendations compared with providers who do not.

Future analyses should examine the role of specific physician and alert characteristics on adherence to CDS and the effects on outcomes. The Elixhauser index computation was based on all relevant diagnoses made on all encounters for a given patient within our data set. It is possible, however, that the patient could have received additional relevant diagnoses outside of the time frame or hospital system applicable to this study.

Although our regression models adjusted for severity of illness, it is possible that the model did not control for all differences in patient severity or characteristics. Moreover, this study did not seek to establish causation between CW adherence and improved patient and financial outcomes. Many factors determine whether a single alert is adhered to or ignored, including alert fatigue,38 provider familiarity with the guideline presented,39 fear of malpractice,13 or need to reassure one’s patient through further diagnostic tests.16 We were unable to capture some relevant data, including professional billing fees and cost and readmissions data from other facilities, limiting our outcomes analyses. Finally, our demonstrated correlations between adherence and outcomes cannot necessarily be generalized to all CDS interventions, as the alerts evaluated in this study were implemented in the inpatient setting, were deemed the most technically feasible to deploy accurately, and had sufficient volume to evaluate.

CONCLUSIONS

We recommend that health systems consider real-time CDS interventions as a method to encourage improved adoption of CW and other evidence-based guidelines. A meta-analysis of CDS systems concluded that by providing context-specific information at the point of care, the odds of providers adopting guideline recommendations are 112 times higher.19 CDS enables the provision of context-specific information at the point of care and could help to overcome several known barriers to CW guideline adoption.

Our findings contribute to the evidence base surrounding the use of CDS and improvements in patient clinical and financial outcomes. Formal prospective cohort studies and randomized CDS intervention trials, perhaps randomizing providers assigned to receive CDS interventions, should be prioritized to help guide future provider strategies in regard to reducing low-value care. 

Acknowledgments

The authors gratefully acknowledge the administrative and material support of Georgia Hoyler and Marin Lopci.

Author Affiliations: Optum (AMH, JK), Washington, DC; Cedars-Sinai Medical Center (HCS, MSK, SW), Los Angeles, CA; Stanson Health (AW, SW), Los Angeles, CA.

Source of Funding: No funding beyond existing employment agreements was provided for this research.

Author Disclosures: Drs Heekin and Kontor are employed by Optum, which is a licensed reseller of Stanson Health, including its Choosing Wisely alert content evaluated in this study. Dr Sax is employed by Cedars-Sinai, which is the major shareholder of Stanson Health; he is not directly involved in or on the board of Stanson. Ms Keller is employed by Cedars-Sinai Medical Center, which is the employer of Stanson Health’s founders Scott Weingarten and Darren Dworkin. Ms Wellington was employed by and owns stock in Stanson Health; she is now employed at Cedars-Sinai Medical Center, which is a major shareholder of Stanson Health. Dr Weingarten is Chairman of the Board of and owns stock in Stanson Health.

Authorship Information: Concept and design (AMH, JK, HCS, SW); acquisition of data (AW); analysis and interpretation of data (AMH, JK, HCS, MSK, AW, SW); drafting of the manuscript (AMH, JK, HCS, MSK, AW, SW); critical revision of the manuscript for important intellectual content (JK, HCS, MSK, SW); statistical analysis (AMH); and provision of patients or study materials (SW).

Address Correspondence to: John Kontor, MD, Optum, 2445 M St NW, Washington, DC 20001. Email: kontorj@advisory.com.
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