Text-to-algorithm Conversion to Facilitate Comparison of Competing Clinical Guidelines
Autor: | Carmi Z. Margolis, Lawrence K. Gottlieb, Nurit Barak |
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Rok vydání: | 1998 |
Předmět: |
Adult
Time Factors Adolescent Disease Outbreaks 03 medical and health sciences 0302 clinical medicine Humans Medicine 030212 general & internal medicine Child Immunization Schedule Reliability (statistics) business.industry 030503 health policy & services Health Policy Decision Trees Infant Reproducibility of Results Test (assessment) Child Preschool Scale (social sciences) Practice Guidelines as Topic 0305 other medical science business Measles immunization Algorithm Algorithms Measles |
Zdroj: | Medical Decision Making. 18:304-310 |
ISSN: | 1552-681X 0272-989X |
DOI: | 10.1177/0272989x9801800308 |
Popis: | 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 guide lines. 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. Key words: medical decision making; clinical guidelines; clinical algorithms; health services evaluation; semantic analysis; measles immunization. (Med Decis Making 1998;18: 304-310) |
Databáze: | OpenAIRE |
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