Literature DB >> 25656731

The Feasibility of Tracking Elective Deliveries Prior to 39 Gestational Weeks: Lessons From Three California Projects.

Lisa M Korst1, Moshe Fridman2, Melanie Estarziau3, Kimberly D Gregory4,5, Connie Mitchell6.   

Abstract

The tracking of elective deliveries (ED) prior to 39 gestational weeks has become a mandatory requirement for all hospitals with ≥1,100 deliveries for accreditation by The Joint Commission (TJC); however, the feasibility and accuracy of monitoring efforts remain problematic for many hospitals. Here, we evaluated the feasibility of three operational approaches to tracking ED. We used mixed methods to evaluate the feasibility of 3 different approaches to tracking ED: (1) using administrative data, (2) using electronic medical record (EMR) data, and (3) using targeted data collection in a county-wide quality improvement (QI) effort. For (1), we analyzed data from the California 2009 linked birth cohort dataset, and calculated hospital rates of ED using TJC technical specifications. For (2), we performed a case study of a project that recruited hospitals to provide EMR data for the TJC measure calculation. For (3), we performed a case study of a project that recruited hospitals to prospectively track elective inductions of labor. For (1), hospital discharge data were insufficient without supplementation from the EMR or birth certificate. For (2), legal and operational issues surrounding data sharing, and non-standardized data elements prohibited hospital participation. For (3), the QI approach successfully established policies and data collection systems yet lacked infrastructure to assure sustainability at a hospital or regional level. In summary, ED tracking required the coordination and support of multiple resources to enable hospitals to satisfactorily report on this measure.

Entities:  

Keywords:  Administrative data; Benchmarking; Childbirth; Elective delivery; Pregnancy; Quality indicators

Mesh:

Year:  2015        PMID: 25656731     DOI: 10.1007/s10995-015-1725-y

Source DB:  PubMed          Journal:  Matern Child Health J        ISSN: 1092-7875


  17 in total

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Authors:  R Snyder-Halpern
Journal:  Int J Med Inform       Date:  2001-10       Impact factor: 4.046

Review 2.  Oversight of elective early term deliveries: avoiding unintended consequences.

Authors:  Steven L Clark; Janet A Meyers; Jonathan B Perlin
Journal:  Am J Obstet Gynecol       Date:  2011-08-22       Impact factor: 8.661

Review 3.  The science of quality improvement implementation: developing capacity to make a difference.

Authors:  Jeffrey A Alexander; Larry R Hearld
Journal:  Med Care       Date:  2011-12       Impact factor: 2.983

4.  National Hospital Discharge Survey: 2007 summary.

Authors:  Margaret Jean Hall; Carol J DeFrances; Sonja N Williams; Aleksandr Golosinskiy; Alexander Schwartzman
Journal:  Natl Health Stat Report       Date:  2010-10-26

5.  Accuracy of obstetric diagnoses and procedures in hospital discharge data.

Authors:  Shagufta Yasmeen; Patrick S Romano; Michael E Schembri; Janet M Keyzer; William M Gilbert
Journal:  Am J Obstet Gynecol       Date:  2006-04       Impact factor: 8.661

6.  Identifying organizational capacities and incentives for clinical data-sharing: the case of a regional perinatal information system.

Authors:  Lisa M Korst; Jordana M K Signer; Carolyn E Aydin; Arlene Fink
Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

Review 7.  ACOG Practice Bulletin No. 107: Induction of labor.

Authors: 
Journal:  Obstet Gynecol       Date:  2009-08       Impact factor: 7.661

8.  Determining the rate of elective deliveries before 39 weeks of gestation: methodology matters.

Authors:  Mark W Tomlinson; Laurel Durham
Journal:  Obstet Gynecol       Date:  2012-07       Impact factor: 7.661

Review 9.  Antecedents of the people and organizational aspects of medical informatics: review of the literature.

Authors:  N M Lorenzi; R T Riley; A J Blyth; G Southon; B J Dixon
Journal:  J Am Med Inform Assoc       Date:  1997 Mar-Apr       Impact factor: 4.497

Review 10.  Timing of indicated late-preterm and early-term birth.

Authors:  Catherine Y Spong; Brian M Mercer; Mary D'Alton; Sarah Kilpatrick; Sean Blackwell; George Saade
Journal:  Obstet Gynecol       Date:  2011-08       Impact factor: 7.623

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  2 in total

1.  Examining Trends in Obstetric Quality Measures for Monitoring Health Care Disparities.

Authors:  Teresa Janevic; Natalia N Egorova; Jennifer Zeitlin; Amy Balbierz; Paul L Hebert; Elizabeth A Howell
Journal:  Med Care       Date:  2018-06       Impact factor: 2.983

2.  Comparison of electronic versus manual abstraction for 2 standardized perinatal care measures.

Authors:  Stephen Schmaltz; Jocelyn Vaughn; Tricia Elliott
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 4.497

  2 in total

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