Data Impact Challenge Question 6e

Question 6e: How frequently in the inpatient setting was repeat complete blood count and chemistry testing conducted? (Related to Choosing Wisely Canada Internal Medicine recommendation #4)

Rationale
Choosing Wisely Canada is a campaign to help physicians and patients engage in conversations about unnecessary tests, treatments and procedures. Canadian national specialty societies participating in the campaign, representing a broad spectrum of physicians, were asked to develop lists of “Five Things Physicians and Patients Should Question.” These lists identify tests, treatments or procedures commonly used in each specialty, which are not supported by evidence, and/or could expose patients to unnecessary harm. Increasing understanding of the frequency with which care does or does not follow these recommendations could support targeted improvement and potentially could impact policy interventions.

Results

Through the Data Impact Challenge, three submissions were received in response to this question. The first submission was received eight weeks following the Challenge launch date. The submissions came from Ontario, Alberta, and British Columbia. Variation existed among the types of chemistry testing conducted. The aggregate sample size for all submissions was approximately 2.2 million tests.

Guiding Specifications

Sample: Minimum sample size of 10,000 discharges.
Timeframe: Analysis should include at least six months of data.

Participating Teams

Alberta Laboratory Utilization Office


Team bio: The Alberta Health Services Laboratory Utilization Office provides data support and analyses regarding ‎laboratory test utilization in Alberta, and is a researchers and operational leaders.
Entry: PDF

 

Lower Mainland Laboratory Services


Team bio: Our team (2 medical biochemists, the LMLS Vice-president, and the PHSA Director of LIS) enjoys utilizing data analysis as a tool to improve patient care.
Entry: PDF

 

Ottawa Hospital Performance Management

Team bio: This team is a dynamic, deductive, data-loving performance measurement team, specialized in analytics & research for health system improvement
Entry: PDF