Text-to-algorithm conversion to facilitate comparison of competing clinical guidelines

This study aimed to test the usefulness and reliability of text-to-algorithm conversion in comparing competing clinical guidelines and defining their differences. Two pairs of competing guidelines for measles immunization, published in 1989 and 1994, were analyzed and compared. Five categories of differences were detected: differences in recommendations, excluded elements, logical inconsistencies, nonspecific phrases, and approaches to contraindications. On a scale of 0-10 (where identical=10), the overall comparison scores were 6.01 for the guidelines published in 1989 and 5.54 for the guidelines published in 1994. Text-to-algorithm conversions performed by three different persons on the 1989 guidelines were compared and found similar. Text-to-algorithm conversion is an important step in facilitating comparison of competing guidelines. It has the potential to assist in making rational and systematic choices between competing guidelines before actual field testing takes place. Physicians can use it to analyze and to learn a prose clinical guideline, to critique existing guidelines, and to simulate hypothetical patients for teaching and evaluating clinical management.