| Addressing birth in Gaza: using qualitative methods to improve vital registration. | |
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MedLine Citation:
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PMID: 10190644 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The use of anthropological qualitative methods to validate and improve health surveillance data is demonstrated through an examination of the process of birth registration in Gaza. Theoretically, the importance of understanding the link between historical events and microlevel decision-making is emphasized both in general terms and specifically in the context of the Gaza Strip today. In the course of interviewing a sample of mother/infant pairs selected from a register of births in the Gaza Strip it became evident that 100% of the addresses were incomplete. Using qualitative methods in the form of field visits and interviews with physicians, clerks and nurses, an understanding of the information pathway for birth registration data was developed. It was also established that there was some erroneous recording of birthweight. An intervention was designed which failed to improve the accuracy of addresses but did improve the recording of birthweight. |
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Authors:
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G Lewando-Hundt; Y Abed; M Skeik; S Beckerleg; A El Alem |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Social science & medicine (1982) Volume: 48 ISSN: 0277-9536 ISO Abbreviation: Soc Sci Med Publication Date: 1999 Mar |
Date Detail:
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Created Date: 1999-05-14 Completed Date: 1999-05-14 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8303205 Medline TA: Soc Sci Med Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 833-43 Citation Subset: IM |
Affiliation:
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London School of Hygiene and Tropical Medicine, UK. g.hundt@lshtm.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Adult Bias (Epidemiology) Birth Certificates* Birth Weight Data Interpretation, Statistical* Female Humans Infant, Newborn Maternal Age Middle Aged Middle East Population Surveillance / methods* Questionnaires Registries* Reproducibility of Results |
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