NDLI: Following Up Crack Users after Hospital Discharge Using Record Linkage Methodology: An Alternative to Find Hidden Populations.

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Following Up Crack Users after Hospital Discharge Using Record Linkage Methodology: An Alternative to Find Hidden Populations.

Content Provider	Europe PMC
Author	Gonçalves, Veralice Maria Pedroso, Rosemeri dos Santos, Antônio Marcos Diemen, Lisia Von Pechansky, Flavio
Copyright Year	2015
Abstract	This paper presents the probabilistic record linkage (PRL) methodology as an alternative way to find or follow up hard-to-reach population as crack users. PRL was based on secondary data from public health information systems and the strategy used from standardization; phonetic encoding and the rounds of matching data were described. A total of 293 patient records from medical database and two administrative datasets obtained from Ministry of Health Information Systems were used. Patient information from the medical database was the identifiers to the administrative datasets containing data on outpatient treatment and hospital admissions. 40% of patient records were found in the hospital database and 12% were found in the outpatient database; 95% of the patients were hospitalized up to 5 times, and only 10 out of them had outpatient information. The record linkage methodology by linking government databases may help to address research questions about the path of patients in the care network without spending time and financial resources with primary data collection.
ISSN	23146133
Journal	Biomed Research International
Volume Number	2015
PubMed Central reference number	PMC4575725
PubMed reference number	26425565
e-ISSN	23146141
DOI	10.1155/2015/973857
Language	English
Publisher	Hindawi
Publisher Date	2015-09-06
Access Restriction	Open
Rights License	This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright © 2015 Veralice Maria Gonçalves et al.
Content Type	Text
Resource Type	Article
Subject	Immunology and Microbiology Medicine Biochemistry, Genetics and Molecular Biology

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