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Am J Surg ; 215(3): 515-517, 2018 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-29248159

RESUMO

BACKGROUND: Discordance between circulating nurse- and surgeon diagnosis-based wound classifications may lead to erroneous risk-adjusted rates of surgical site infections with effects on inter-hospital rating, reimbursement, and public perceptions regarding quality of care. METHODS: After an initial two-month audit, we placed a wound class reference algorithm in each operating room and educated staff. An audit was repeated for a two-month period after this intervention. Statistical analysis of the whole and subgroup was performed. RESULTS: Pre-intervention, the wound classifications for 70 of 300 cases were discordant. In the post-intervention group, 79 of 483 cases were discordant (p = 0.016). Subgroup analysis of colectomy and appendectomy cases demonstrated dramatically improved concordance. For colectomies, discordance dropped from 84.6% to 15% post-intervention (p = <0.001). Appendectomy discordance went from 80% of cases to 30.4% post-intervention (p = 0.001). Wound class discordance increased for the cholecystectomy subgroup (20.4%-37%) but this was not statistically significant (p = 0.066). CONCLUSIONS: As we trend towards a pay-for-performance model, health care systems should review their internal controls on documenting surgical wound classes.


Assuntos
Algoritmos , Documentação/normas , Melhoria de Qualidade/estatística & dados numéricos , Ferida Cirúrgica/classificação , Apendicectomia , Colecistectomia , Colectomia , Documentação/estatística & dados numéricos , Humanos , Auditoria Médica , Michigan , Risco Ajustado , Ferida Cirúrgica/diagnóstico , Infecção da Ferida Cirúrgica/diagnóstico , Infecção da Ferida Cirúrgica/epidemiologia
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