Improving clinical guidelines with logic and decision-table techniques: application to hepatitis immunization recommendations.
Clinical practice guidelines can be clarified, verified, and simplified by the use of logical analysis and the application of decision-table techniques. This methodology is applied to a CDC guideline for the prevention of perinatal transmission of hepatitis B by immunization. Relevant clinical variables are identified and possible values for each variable are defined. An exhaustive enumeration of value combinations is generated. Logically impossible combinations are identified and eliminated. The guideline's recommendations are next translated into a set of rules and compared with the remaining value combinations. Variable combinations that are not covered by guideline recommendations represent incomplete guideline specifications. Inconsistency can be identified by finding identical condition sets in two or more rules. The procedure demonstrates that the hepatitis guideline is incomplete. Logical analysis can improve the quality of clinical practice guidelines by assuring comprehensiveness and consistency.
Shiffman
R N
RN
Center for Medical Informatics, Yale School of Medicine, New Haven, CT 06510.
Greenes
R A
RA
D003661:Decision Support Techniques; D003663:Decision Trees; D005260:Female; D006509:Hepatitis B / Q000175:diagnosis / Q000517:prevention & control* / Q000635:transmission; D006514:Hepatitis B Surface Antigens / Q000032:analysis; D017325:Hepatitis B Vaccines / Q000008:administration & dosage*; D006801:Humans; D007115:Immunization Schedule; D007231:Infant, Newborn; D008128:Logic; D008403:Mass Screening; D017410:Practice Guidelines as Topic; D011247:Pregnancy; D011251:Pregnancy Complications, Infectious / Q000175:diagnosis; D012307:Risk Factors; D013813:Therapy, Computer-Assisted
D006514:Hepatitis B Surface Antigens; D017325:Hepatitis B Vaccines