Comparative effectiveness: A table of expected benefits and harms

Medical Decision Making

Volumn 29, Issue 6, 2009, Pages

  Kattan, Michael W ^a,b  

^a CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b LERNER RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; CLINICAL EFFECTIVENESS; COST EFFECTIVENESS ANALYSIS; DOCTOR PATIENT RELATION; INFORMED CONSENT; PATIENT DECISION MAKING; PROBABILITY; RISK ASSESSMENT; RISK BENEFIT ANALYSIS; SHORT SURVEY; TREATMENT OUTCOME; TREATMENT PLANNING;

COMPARATIVE EFFECTIVENESS RESEARCH; HUMANS; PHYSICIAN'S PRACTICE PATTERNS; PROBABILITY;

EID: 72149097333     PISSN: 0272989X     EISSN: 1552681X     Source Type: Journal    
DOI: 10.1177/0272989X09351585     Document Type: Short Survey

References (4)

1. Kattan M. When and how to use informatics tools in caring for urologic patients. Nat Clin Pract Urol. 2005 ; 2 (4). 183-190.
2. Schwartz L., Woloshin S., Gilbert Welch H. The drug facts box: providing consumers with simple tabular data on drug benefit and harm. Med Decis Making. 2007 ; 27 (5). 655-662.
3. Eddy DM Comparing benefits and harms: the balance sheet. JAMA. 1990 ; 263 (18). 2493, 2498, 2501 passim.
4. Kattan MW Nomograms are superior to staging and risk grouping systems for identifying high-risk patients: preoperative application in prostate cancer. Curr Opin Urol. 2003 ; 13 (2). 111-116.