Table G-2Detailed Breakdown of Outcome Categories for Each Study Type

Study typeStudy subtypeNLength of stayMorbidityMortalityHealth-related quality of life or functional statusAdverse eventsRecommended preventive care ordered/completedRecommended clinical study ordered/completedRecommended treatment ordered/prescribedImpact on user knowledgeNumber of patients seen/unit timeClinician workloadEfficiencyPatient satisfactionCostCost-effectivenessHealth care provider acceptanceHealth care provider satisfactionHealth care provider useImplementation of CDSS/KMS
RCTCluster5025212111526200228289112
Crossover30000010200000000101
Parallel924175532914393005413416962
Other30000020000000100000
Total for RCT148622765432967500762262419175
Quasi-experimentalNonrandomized120041166500020101010
Before/after75121411011111138312170110117110
Time series2834104261611052606450
Other60001010200011002000
Total for quasi- experimental1211518162162023614222531802011170
ObservationalCohort2938414611411000113050
Case-control81110111210100002102
Case series31000100010000000011
Other20000010000000110000
Total for observational4259516821631100225163
Total311

From: Appendix G, Summary Tables for Key Question 1

Cover of Enabling Health Care Decisionmaking Through Clinical Decision Support and Knowledge Management
Enabling Health Care Decisionmaking Through Clinical Decision Support and Knowledge Management.
Evidence Report/Technology Assessments, No. 203.
Lobach D, Sanders GD, Bright TJ, et al.

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