| Capturing the context of maternal deaths from verbal autopsies: a reliability study of the maternal data extraction tool (M-DET). | |
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MedLine Citation:
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PMID: 21326873 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND: The availability of quality data to inform policy is essential to reduce maternal deaths. To characterize maternal deaths in settings without complete vital registration systems, we designed and assessed the inter-rater reliability of a tool to systematically extract data and characterize the events that precede a nationally representative sample of maternal deaths in India. METHOD/PRINCIPAL FINDINGS: Of 1017 nationally representative pregnancy-related deaths, which occurred between 2001 and 2003, we randomly selected 105 reports. Two independent coders used the maternal data extraction tool (questions with coding guidelines) to collect information on antenatal care access, final pregnancy outcome; planned place of birth and care provider; community consultation, transport, admission, hospital referral; and verification of cause of death assignment. Kappa estimated inter-rater agreement was calculated and classified as poor (K≤0.4), moderate (K = 0.4≤0.6), substantial (K = 0.6≤ 0.8) and high (K>0.8) using the criteria from Landis & Koch. The data extraction tool had high agreement for gestational age, pregnancy outcome, transport, death en route and admission to hospital; substantial agreement for receipt of antenatal care, planned place of birth, readmission and referral to higher level hospital, and whether or not death occurred in the intrapartum period; moderate to substantial agreement for classification of deaths as direct or indirect obstetric deaths or incidental deaths; moderate agreement for classification of community healthcare consultation and total number of healthcare contacts; and poor agreement for the classification of deaths as sudden deaths and other/unknown cause of death. The ability of the tool to identify the most-responsible-person in labour varied from moderate agreement to high agreement. CONCLUSIONS: This data extraction tool achieved good inter-rater reliability and can be used to collect data on events surrounding maternal deaths and for verification/improvement of underlying cause of death. |
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Authors:
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Ann L Montgomery; Shaun K Morris; Rajesh Kumar; Raju Jotkar; Prem Mony; Diego G Bassani; Prabhat Jha |
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Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't Date: 2011-02-07 |
Journal Detail:
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Title: PloS one Volume: 6 ISSN: 1932-6203 ISO Abbreviation: PLoS ONE Publication Date: 2011 |
Date Detail:
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Created Date: 2011-02-17 Completed Date: 2011-09-01 Revised Date: 2013-05-26 |
Medline Journal Info:
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Nlm Unique ID: 101285081 Medline TA: PLoS One Country: United States |
Other Details:
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Languages: eng Pagination: e14637 Citation Subset: IM |
Affiliation:
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Centre for Global Health Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada. cghr@smh.toronto.on.ca |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Abortion, Induced
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methods,
mortality,
statistics & numerical data Autopsy / methods Cause of Death* Data Interpretation, Statistical* Databases, Factual / standards*, statistics & numerical data Female Health Planning / organization & administration, statistics & numerical data Health Services Accessibility / statistics & numerical data Humans Maternal Mortality* Medical Records / standards, statistics & numerical data Narration* Pregnancy Pregnancy Outcome / epidemiology Prenatal Care / utilization Reproducibility of Results |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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