Literature DB >> 7792444

Evaluating the quality of anonymous record linkage using deterministic procedures with the New York State AIDS registry and a hospital discharge file.

A G Muse1, J Mikl, P F Smith.   

Abstract

Linkage of same-person records across multiple databases relies on high-quality, uniformly available identifying information. These data quality issues become increasingly important when personal names are not available for record linkage. Using deterministic decision criteria, we linked records from two population-based files in the absence of personal names. The sensitivity of anonymous record linkage procedures ranged from 32 to 85 per cent for the two years studied, and the positive predictive value (PPV) ranged from 14 to 99 per cent. Decreasing sensitivity and PPV were primarily attributed to (1) errors in computerized identifying information and (2) the deterministic decision criteria specified for record linkage. An evaluation of the contribution of personal names to the quality of record linkage found no measurable impact.

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Year:  1995        PMID: 7792444     DOI: 10.1002/sim.4780140511

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  8 in total

1.  Practical introduction to record linkage for injury research.

Authors:  D E Clark
Journal:  Inj Prev       Date:  2004-06       Impact factor: 2.399

2.  Hospital utilization patterns and costs for adult sickle cell patients in Illinois.

Authors:  K Woods; T Karrison; M Koshy; A Patel; P Friedmann; C Cassel
Journal:  Public Health Rep       Date:  1997 Jan-Feb       Impact factor: 2.792

3.  Perceived stress and mortality in a Taiwanese older adult population.

Authors:  Sarinnapha Vasunilashorn; Dana A Glei; Maxine Weinstein; Noreen Goldman
Journal:  Stress       Date:  2013-08-09       Impact factor: 3.493

4.  Validation of de-identified record linkage to ascertain hospital admissions in a cohort study.

Authors:  Alison Beauchamp; Andrew M Tonkin; Helen Kelsall; Vijaya Sundararajan; Dallas R English; Lalitha Sundaresan; Rory Wolfe; Gavin Turrell; Graham G Giles; Anna Peeters
Journal:  BMC Med Res Methodol       Date:  2011-04-08       Impact factor: 4.615

5.  Assessing record linkage between health care and Vital Statistics databases using deterministic methods.

Authors:  Bing Li; Hude Quan; Andrew Fong; Mingshan Lu
Journal:  BMC Health Serv Res       Date:  2006-04-05       Impact factor: 2.655

6.  Evidence-based paramedic models of care to reduce unnecessary emergency department attendance--feasibility and safety.

Authors:  Judith C Finn; Daniel M Fatovich; Glenn Arendts; David Mountain; Hideo Tohira; Teresa A Williams; Peter Sprivulis; Antonio Celenza; Tony Ahern; Alexandra P Bremner; Peter Cameron; Meredith L Borland; Ian R Rogers; Ian G Jacobs
Journal:  BMC Emerg Med       Date:  2013-07-15

7.  Event-based record linkage in health and aged care services data: a methodological innovation.

Authors:  Rosemary Karmel; Diane Gibson
Journal:  BMC Health Serv Res       Date:  2007-09-25       Impact factor: 2.655

8.  Linkage of health and aged care service events: comparing linkage and event selection methods.

Authors:  Rosemary Karmel; Diana Rosman
Journal:  BMC Health Serv Res       Date:  2008-07-17       Impact factor: 2.655

  8 in total

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