Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
BMC Pregnancy and Childbirth
Published in: BMC Pregnancy and Childbirth 1/2015

Open Access 01-12-2015 | Research article

Agreement between self-reported perinatal outcomes and administrative data in New South Wales, Australia

Authors: Ellie Gresham, Peta Forder, Catherine L. Chojenta, Julie E. Byles, Deborah J. Loxton, Alexis J. Hure

Published in: BMC Pregnancy and Childbirth | Issue 1/2015

Login to get access

Abstract

Background

Many epidemiological studies that focus on pregnancy rely on maternal self-report of perinatal outcomes. The aim of this study was to evaluate the agreement between self-reported perinatal outcomes (gestational hypertension with or without proteinuria, gestational diabetes, premature birth and low birth weight) in a longitudinal study and linked to administrative data (medical records).

Methods

Self-reported survey data from the Australian Longitudinal Study on Women’s Health was linked with the New South Wales Perinatal Data Collection. Agreement between the two sources was evaluated using percentage agreement and kappa statistics. Analyses were conducted at two levels by: i) the mother and ii) each individual child.

Results

Women reliably self-report their perinatal outcomes (≥87 % agreement). Gestational hypertension with or without proteinuria had the lowest level of agreement. Mothers’ reports of perinatal outcomes were more reliable when evaluated by child. Restricting the analysis to complete and consistent reporting further strengthened the reliability of the child-specific data, increasing the agreement from >92 to >95 % for all outcomes.

Conclusions

The present study offers a high degree of confidence in the use of maternal self-reports of the perinatal outcomes gestational hypertension, gestational diabetes, preterm birth and low birth weight in epidemiological research, particularly when reported on a per child basis. Furthermore self-report offers a cost-effective and convenient method for gathering detailed maternal perinatal histories.
Literature
1.
Tomeo CA, Rich-Edwards JW, Michels KB, Berkey CS, Hunter DJ, Frazier AL, et al. Reproducibility and validity of maternal recall of pregnancy-related events. Epidemiology. 1999;10:774–7.CrossRefPubMed
2.
Hure AJ, Chojenta CL, Powers JR, Byles JE, Loxton D: Validity and reliability of stillbirth data using linked self-reported and administrative datasets. Journal of Epidemiology 2014, In press.
3.
Taylor LK, Travis S, Pym M, Olive E, Henderson-Smart DJ. How useful are hospital morbidity data for monitoring conditions occurring in the perinatal period? Aust N Z J Obstet Gynaecol. 2005;45(1):36–41.CrossRefPubMed
4.
Rice F, Lewis A, Harold G, van den Bree M, Boivin J, Hay DF, et al. Agreement between maternal report and antenatal records for a range of pre and peri-natal factors: the influence of maternal and child characteristics. Early Hum Dev. 2007;83(8):497–504.CrossRefPubMed
5.
6.
Quigley MA, Hockley C, Davidson LL. Agreement between hospital records and maternal recall of mode of delivery: evidence from 12 391 deliveries in the UK millennium cohort study. BJOG. 2007;114(2):195–200.CrossRefPubMed
7.
Olson JE, Shu XO, Ross JA, Pendergrass T, Robison LL. Medical record validation of maternally reported birth characteristics and pregnancy-related events: a report from the Children’s cancer group. Am J Epidemiol. 1997;145(1):58–67.CrossRefPubMed
8.
HEWSON D, BENNETT A. Childbirth research data: medical records or women’s reports? Am J Epidemiol. 1987;125(3):484–91.PubMed
9.
Lain SJ, Hadfield RM, Raynes-Greenow CH, Ford JB, Mealing NM, Algert CS, et al. Quality of data in perinatal population health databases: a systematic review. Med Care. 2012;50(4):e7–20.CrossRefPubMed
10.
Gayle H, Yip R, Frank M, Nieburg P, Binkin N. Validation of maternally reported birth weights among 46,637 Tennessee WIC program participants. Public Health Rep. 1988;103(2):143–7.PubMedPubMedCentral
11.
Hessol NA, Missett B, Fuentes-Afflick E. Lower agreement on behavioral factors than on medical conditions in self-reported data among pregnant Latina women. Arch Med Res. 2004;35(3):241–5.CrossRefPubMed
12.
Corser W, Sikorskii A, Olomu A, Stommel M, Proden C, Holmes-Rovner M. Concordance between comorbidity data from patient self-report interviews and medical record documentation. BMC Health Serv Res. 2008;8:85.CrossRefPubMedPubMedCentral
13.
Goulet F, Jacques A, Gagnon R, Racette P, Sieber W. Assessment of family Physicians’ performance using patient charts: interrater reliability and concordance with chart-stimulated recall interview. Eval Health Prof. 2007;30(4):376–92.CrossRefPubMed
14.
Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ. Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004;57(10):1096–103.CrossRefPubMed
15.
St Sauver JL, Hagen PT, Cha SS, Bagniewski SM, Mandrekar JN, Curoe AM, et al. Agreement between patient reports of cardiovascular disease and patient medical records. Mayo Clin Proc. 2005;80(2):203–10.CrossRefPubMed
16.
Tisnado DM, Adams JL, Liu H, Damberg CL, Chen WP, Hu FA, et al. What is the concordance between the medical record and patient self-report as data sources for ambulatory care? Med Care. 2006;44(2):132–40.CrossRefPubMed
17.
Yawn BP, Suman VJ, Jacobsen SJ. Maternal recall of distant pregnancy events. J Clin Epidemiol. 1998;51(5):399–405.CrossRefPubMed
18.
Casey R, Rieckhoff M, Beebe SA, Pinto-Martin J. Obstetric and perinatal events: the accuracy of maternal report. Clin Pediatr. 1992;31(4):200–4.CrossRef
19.
Bat-Erdene U, Metcalfe A, McDonald SW, Tough SC. Validation of Canadian mothers’ recall of events in labour and delivery with electronic health records. BMC Pregnancy Childbirth. 2013;13 Suppl 1:S3.CrossRefPubMedPubMedCentral
20.
Troude P, L’Hélias L, Raison-Boulley A-M, Castel C, Pichon C, Bouyer J, et al. Perinatal factors reported by mothers: do they agree with medical records? Eur J Epidemiol. 2008;23(8):557–64.CrossRefPubMed
21.
Overbeek A, van den Berg MH, Hukkelhoven CWPM, Kremer LC, van den Heuvel-Eibrink MM, Tissing WJE, et al. Validity of self-reported data on pregnancies for childhood cancer survivors: a comparison with data from a nationwide population-based registry. Hum Reprod. 2013;28(3):819–27.CrossRefPubMed
22.
Brown W, Bryson L, Byles J, Dobson A, Manderson L, Schofield M, et al. Women’s health Australia: establishment of the Australian longitudinal study on Women’s health. J Womens Health. 1996;5(5):467–72.CrossRef
23.
Brown WJ, Bryson L, Byles JE, Dobson AJ, Lee C, Mishra G, et al. Women’s health Australia: recruitment for a national longitudinal cohort study. Women Health. 1999;28(1):23–40.CrossRef
24.
Lee C, Dobson AJ, Brown WJ, Bryson L, Byles J, Warner-Smith P, et al. Cohort profile: the Australian longitudinal study on Women’s health. Int J Epidemiol. 2005;34(5):987–91.CrossRefPubMed
25.
26.
27.
28.
29.
Health NSW. Perinatal Data Collection (PDC) reporting and submission requirements. Department of Health: Sydney; 2010.
30.
Borthwick A, Buechi M, Goldberg A: Key Concepts in the ChoiceMaker 2 Record Matching System. In: Proceedings of the KDD-2003 Workshop on Data Cleaning, Record Linkage, and Object Consolidation: 2003; Washington, DC; 2003.
31.
Centre for Health Record Linkage: Data Linkage Report. Project: The Australian Longitudinal Study on Women’s Health [AU RED Ref: HRED/11/CIPHS/67; CI Ref: 2011/11/357; CHeReL Ref: 2011.36-3]. CHeReL Service 2011.36-3 in Confidence: Centre for Health and Record Linkage (CHeReL). 2014.
32.
World Health Organisation. International statistical classification of diseases and related health problems. 10th ed. Geneva: World Health Organisation; 1992.
33.
Australian Institute of Health and Welfare. Australia’s mothers and babies, Perinatal statistics series no. 30. Canberra: Australian Institute of Health and Welfare; 2014.
34.
StataCorp LP. Stata Statistical Software: Release 13. College Station, Texas, USA: StataCorp LP; 2013.
35.
Fleiss JL, Levin BA, Paik MC. Statistical methods for rates and proportions. 3rd ed. John Wiley & Sons, Inc: Hoboken, New Jersey; 2003.CrossRef
36.
37.
Buka SL, Goldstein JM, Spartos E, Tsuang MT. The retrospective measurement of prenatal and perinatal events: accuracy of maternal recall. Schizophr Res. 2004;71(2–3):417–26.CrossRefPubMed
38.
Sou SC, Chen WJ, Hsieh W-S, Jeng S-F. Severe obstetric complications and birth characteristics in preterm or term delivery were accurately recalled by mothers. J Clin Epidemiol. 2006;59(4):429–35.CrossRefPubMed
39.
40.
Parkinson L, Curryer C, Gibberd A, Cunich M, Byles JE. Good agreement between self-report and centralized hospitalizations data for arthritis-related surgeries. J Clin Epidemiol. 2013;66(10):1128–34.CrossRefPubMed
41.
Metadata
Title
Agreement between self-reported perinatal outcomes and administrative data in New South Wales, Australia
Authors
Ellie Gresham
Peta Forder
Catherine L. Chojenta
Julie E. Byles
Deborah J. Loxton
Alexis J. Hure
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Pregnancy and Childbirth / Issue 1/2015
Electronic ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-015-0597-x

Other articles of this Issue 1/2015

BMC Pregnancy and Childbirth 1/2015 Go to the issue

Research article

Changes in maternal hemoglobin during pregnancy and birth outcomes

Research article

The MamaMiso study of self-administered misoprostol to prevent bleeding after childbirth in rural Uganda: a community-based, placebo-controlled randomised trial

Research article

Women’s reasons for, and experiences of, choosing a homebirth following a caesarean section

Research article

A retrospective cohort study of factors relating to the longitudinal change in birth weight

Research article

Quality of websites of obstetrics and gynecology departments: a cross-sectional study

Research article

Maternal super-obesity and perinatal outcomes in Australia: a national population-based cohort study