Sjur Lehmann1, Elham Baghestan2, Per Børdahl1,2, Marta Ebbing3,4, Lorentz Irgens4, Svein Rasmussen1,2. 1. Department of Clinical Science, University of Bergen, Bergen, Norway. 2. Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway. 3. Norwegian Institute of Public Health, Bergen, Norway. 4. Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Abstract
INTRODUCTION: Trial of labor (TOL) is an option in most deliveries after a previous cesarean section (CS). The Medical Birth Registry of Norway (MBRN) has received compulsory notification of all deliveries in the country since 1967, including data that could identify TOL in epidemiologic research. The objective of this study was to validate MBRN data for identification of TOL deliveries after a previous cesarean section (CS). MATERIAL AND METHODS: The MBRN provided a random national sample of 500 birth order two deliveries during 1989-2012 in women with a registered birth order one CS delivery. The reporting maternity units were asked to complete a questionnaire on data items in both deliveries, using hospital record data as the gold standard. RESULTS: Completed questionnaires were returned for 477 women (95.5%) with data on both deliveries. An algorithm to identify TOL using MBRN data from the birth order two delivery had a positive predictive value of 93.2%, a negative predictive value of 93.5%, a sensitivity of 96.1%, and a specificity of 88.8%. Validity of MBRN data on mode and onset of delivery, CS subtype, and planned mode of delivery is also reported. CONCLUSIONS: MBRN data on planned and actual mode of delivery, CS subtype, and the algorithm to identify TOL in deliveries after a previous CS had satisfactory quality for a registry-based study of TOL.
INTRODUCTION: Trial of labor (TOL) is an option in most deliveries after a previous cesarean section (CS). The Medical Birth Registry of Norway (MBRN) has received compulsory notification of all deliveries in the country since 1967, including data that could identify TOL in epidemiologic research. The objective of this study was to validate MBRN data for identification of TOL deliveries after a previous cesarean section (CS). MATERIAL AND METHODS: The MBRN provided a random national sample of 500 birth order two deliveries during 1989-2012 in women with a registered birth order one CS delivery. The reporting maternity units were asked to complete a questionnaire on data items in both deliveries, using hospital record data as the gold standard. RESULTS: Completed questionnaires were returned for 477 women (95.5%) with data on both deliveries. An algorithm to identify TOL using MBRN data from the birth order two delivery had a positive predictive value of 93.2%, a negative predictive value of 93.5%, a sensitivity of 96.1%, and a specificity of 88.8%. Validity of MBRN data on mode and onset of delivery, CS subtype, and planned mode of delivery is also reported. CONCLUSIONS: MBRN data on planned and actual mode of delivery, CS subtype, and the algorithm to identify TOL in deliveries after a previous CS had satisfactory quality for a registry-based study of TOL.
Authors: Fatou Jatta; Johanne Sundby; Siri Vangen; Benedikte Victoria Lindskog; Ingvil Krarup Sørbye; Katrine Mari Owe Journal: Int J Environ Res Public Health Date: 2021-06-01 Impact factor: 3.390