ArticleBMC pregnancy and childbirth2015
Agreement between self-reported perinatal outcomes and administrative data in New South Wales, Australia.
Article in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Association between history of fertility problems and pregnancy and birth complications: A longitudinal population-based cohort study.Acta obstetricia et gynecologica Scandinavica · 2026Article
- Article
- Awareness of cardiovascular disease risk and care received among Australian women with a history of hypertensive disorders of pregnancy: a cross-sectional survey.BMC pregnancy and childbirth · 2025Article
- Trajectories of cardiovascular risk predict pregnancy outcomes: The Bogalusa Heart Study and the Cardiovascular Risk in Young Finns Study.Paediatric and perinatal epidemiology · 2024Article
- Large-Scale Data Harmonization Across Prospective Studies.American journal of epidemiology · 2023Article
- Hypertensive Disorders of Pregnancy and Risk of Stroke in U.S. Black Women.NEJM evidence · 2023Article
- Patterns of Labour Interventions and Associated Maternal Biopsychosocial Factors in Australia: a Path Analysis.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Quality of low-carbohydrate diets among Australian post-partum women: Cross-sectional analysis of a national population-based cohort study.Maternal & child nutrition · 2023Article
- Validation of birth certificate and maternal recall of events in labor and delivery with medical records in the Iowa health in pregnancy study.BMC pregnancy and childbirth · 2022Article
- Article
- Hypertensive disorders of pregnancy, obesity, and hypertension in later life by age group: a cross-sectional analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2020Article
- Macrosomia and psychiatric risk in adolescence.European child & adolescent psychiatry · 2020Article
- Altered cortical structure and psychiatric symptom risk in adolescents exposed to maternal stress in utero: A retrospective investigation.Behavioural brain research · 2019Article
- Agreement of antenatal care indicators from self-reported questionnaire and the antenatal care card of women in the 2015 Pelotas birth cohort, Rio Grande do Sul, Brazil.BMC pregnancy and childbirth · 2019Article
- Prevalence of gestational diabetes according to commonly used data sources: an observational study.BMC pregnancy and childbirth · 2019Observational
- Optimizing community-level surveillance data for pediatric asthma management.Preventive medicine reports · 2018Article
- Group-based developmental BMI trajectories, polycystic ovary syndrome, and gestational diabetes: a community-based longitudinal study.BMC medicine · 2017Article
- Dietary Supplement Use during Preconception: The Australian Longitudinal Study on Women's Health.Nutrients · 2017Article
- Rates and Predictors of Caesarean Section for First and Second Births: A Prospective Cohort of Australian Women.Maternal and child health journal · 2017Article
- Multimorbidity and health-related quality of life (HRQoL) in a nationally representative population sample: implications of count versus cluster method for defining multimorbidity on HRQoL.Health and quality of life outcomes · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany 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).
methodsSelf-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.
resultsWomen 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.
conclusionsThe 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.