AI Article Synopsis

  • - The study aimed to compare obstetric recommendations from ACOG practice bulletins and UpToDate to identify similarities and differences in their guidelines.
  • - Researchers analyzed a total of 46 ACOG bulletins and 86 UpToDate chapters and found that UpToDate provided 50% fewer recommendations, with significant differences in the grading levels of those recommendations.
  • - The agreement between the two maternal-fetal medicine specialists on the categorization of recommendations was moderate, indicating that differing guidelines may lead to confusion among obstetricians and could impact compliance and patient outcomes.

Article Abstract

Objective: To compare the obstetric recommendations in American Congress of Obstetricians and Gynecologists (ACOG) practice bulletins (PB) with similar topics in UpToDate (UTD).

Study Design: We accessed all obstetric PB and cross-searched UTD (May 1999-May 2013). We analyzed only the PB which had corresponding UTD chapter with graded recommendations (level A-C). To assess comparability of recommendations for each obstetric topic, two maternal-fetal medicine (MFM) subspecialists categorized the statement as similar, dissimilar, or incomparable. Simple and weighted kappa statistics were calculated to assess agreement between the two raters.

Results: We identified 46 ACOG obstetric PB and 86 UTD chapters. There were 50% fewer recommendations in UTD than in PB (181 vs. 365). The recommendations being categorized as level A, B, or C was significantly different (p < 0.001) for the two guidelines. While the overall concordance rate between the two MFM subspecialists was 83% regarding the recommendations for the same topic as similar, dissimilar, or incomparable, the agreement was moderate (kappa, 0.56; 95% confidence intervals, 0.48-0.65).

Conclusion: Though obstetricians have two sources for graded recommendations, incongruity among them may be a source of consternation. Congruent recommendations from ACOG and UTD could enhance compliance and potentially optimize outcomes.

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Source
http://dx.doi.org/10.1055/s-0034-1396684DOI Listing

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