Literature DB >> 10501598

Definition and adjustment of Cesarean section rates and assessments of hospital performance.

S B Kritchevsky1, B I Braun, P A Gross, C S Newcomb, C A Kelleher, B P Simmons.   

Abstract

BACKGROUND: Demand is growing for comparative data such as Cesarean section rates, but little effort has been made to develop either standardized definitions or risk adjustment approaches.
OBJECTIVE: To determine to what extent a seemingly straightforward indicator like Cesarean section rate will vary when calculated according to differing definitions used by various performance measurement systems.
DESIGN: Retrospective data abstraction of 200 deliveries per hospital.
SETTING: Fifteen acute care hospitals including two from outside the USA. MEASUREMENTS: Four widely-used performance measurement systems provided specifications for their Cesarean section indicators. Indicator specifications varied on inclusion criteria (whether the population was defined using Diagnostic Related Groups or ICD-9-CM procedure codes or ICD-9-CM diagnosis codes) and risk-adjustment methods and factors. Rates and rankings were compared across hospitals using different Cesarean section indicator definitions and indicators with and without risk adjustment.
RESULTS: Calculated Cesarean section rates changed substantially depending on how the numerator and denominator cases were identified. Relative performance based on Cesarean section rankings is affected less by differing indicator definitions than by whether and how risk adjustment is performed.
CONCLUSIONS: Judgments about organizational performance should only be made when the comparisons are based upon identical indicators. Research leading to a uniform indicator definition and standard risk adjustment methodology is needed.

Mesh:

Year:  1999        PMID: 10501598     DOI: 10.1093/intqhc/11.4.283

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  6 in total

1.  A Framework for the Development of maternal quality of care indicators.

Authors:  Lisa M Korst; Kimberly D Gregory; Michael C Lu; Carolina Reyes; Calvin J Hobel; Gilberto F Chavez
Journal:  Matern Child Health J       Date:  2005-09

2.  The quality of the quality indicator of pain derived from the minimum data set.

Authors:  Ning Wu; Susan C Miller; Kate Lapane; Jason Roy; Vincent Mor
Journal:  Health Serv Res       Date:  2005-08       Impact factor: 3.402

3.  Impact of hospital care on incidence of bloodstream infection: the evaluation of processes and indicators in infection control study.

Authors:  S B Kritchevsky; B I Braun; E S Wong; S L Solomon; L Steele; C Richards; B P Simmons
Journal:  Emerg Infect Dis       Date:  2001 Mar-Apr       Impact factor: 6.883

4.  Risk adjustment for inter-hospital comparison of primary cesarean section rates: need, validity and parsimony.

Authors:  Maria P Fantini; Elisa Stivanello; Brunella Frammartino; Anna P Barone; Danilo Fusco; Laura Dallolio; Paolo Cacciari; Carlo A Perucci
Journal:  BMC Health Serv Res       Date:  2006-08-15       Impact factor: 2.655

5.  Predictive modeling of emergency cesarean delivery.

Authors:  Carlos Campillo-Artero; Miquel Serra-Burriel; Andrés Calvo-Pérez
Journal:  PLoS One       Date:  2018-01-23       Impact factor: 3.240

Review 6.  Core Outcomes and Common Data Elements in Chronic Subdural Hematoma: A Systematic Review of the Literature Focusing on Reported Outcomes.

Authors:  Aswin Chari; Katie C Hocking; Ellie Broughton; Carole Turner; Thomas Santarius; Peter J Hutchinson; Angelos G Kolias
Journal:  J Neurotrauma       Date:  2015-11-06       Impact factor: 5.269

  6 in total

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