Literature DB >> 3555530

The use of large data bases in health care studies.

F A Connell, P Diehr, L G Hart.   

Abstract

The growing number of large health data bases available represents a valuable resource for health care research. Many available data bases, however, have subtle and/or complex defects in their design as well as in the quality of the data themselves. The apparent ease and economy of using pre-collected data cannot eliminate the need for careful selection, examination, and analysis of these data. Existing documentation should be critically reviewed to assess the appropriateness of the data base for its intended use. Once in hand, the completeness and coding of the data should be examined in detail before attempting to test hypotheses. In conducting data analysis, the investigator must be aware of the potential problems related to the size of the data base, the unit of analysis, and the sampling strategy--particularly if sampling involved stratification or clustering. Awareness of the potential pitfalls inherent in the use of large health data bases can help prevent many problems and disappointments, as well as improve the validity and efficiency of statistical analysis.

Mesh:

Year:  1987        PMID: 3555530     DOI: 10.1146/annurev.pu.08.050187.000411

Source DB:  PubMed          Journal:  Annu Rev Public Health        ISSN: 0163-7525            Impact factor:   21.981


  24 in total

1.  Framework for characterizing data and identifying anomalies in health care databases.

Authors:  A M Savage
Journal:  Proc AMIA Symp       Date:  1999

Review 2.  Patient Outcomes Research Teams and the Agency for Health Care Policy and Research.

Authors:  M E Salive; J A Mayfield; N W Weissman
Journal:  Health Serv Res       Date:  1990-12       Impact factor: 3.402

3.  Use of a medical center's computerized health care database for notifiable disease surveillance.

Authors:  M Watkins; S Lapham; W Hoy
Journal:  Am J Public Health       Date:  1991-05       Impact factor: 9.308

4.  Analysis, assessment, and presentation of risk-adjusted statewide obstetrical care data: the StORQS II study in Washington State. Statewide Obstetrics Review and Quality System.

Authors:  R Holubkov; V L Holt; F A Connell; J P LoGerfo
Journal:  Health Serv Res       Date:  1998-08       Impact factor: 3.402

5.  Differences in the effect of patients' socioeconomic status on the use of invasive cardiovascular procedures across health insurance categories.

Authors:  D M Carlisle; B D Leake
Journal:  Am J Public Health       Date:  1998-07       Impact factor: 9.308

6.  Judging hospitals by severity-adjusted mortality rates: the influence of the severity-adjustment method.

Authors:  L I Iezzoni; A S Ash; M Shwartz; J Daley; J S Hughes; Y D Mackiernan
Journal:  Am J Public Health       Date:  1996-10       Impact factor: 9.308

7.  Racial and ethnic disparities in the use of cardiovascular procedures: associations with type of health insurance.

Authors:  D M Carlisle; B D Leake; M F Shapiro
Journal:  Am J Public Health       Date:  1997-02       Impact factor: 9.308

8.  Do severity measures explain differences in length of hospital stay? The case of hip fracture.

Authors:  M Shwartz; L I Iezzoni; A S Ash; Y D Mackiernan
Journal:  Health Serv Res       Date:  1996-10       Impact factor: 3.402

9.  A microcomputer-based vital records data base with interactive graphic assessment for states and localities.

Authors:  D Wartenberg; V J Agamennone; D Ozonoff; R J Berry
Journal:  Am J Public Health       Date:  1989-11       Impact factor: 9.308

10.  First experiences in the implementation of biometric technology to link data from Health and Demographic Surveillance Systems with health facility data.

Authors:  Adwoa Serwaa-Bonsu; Abraham J Herbst; Georges Reniers; Wilfred Ijaa; Benjamin Clark; Chodziwadziwa Kabudula; Osman Sankoh
Journal:  Glob Health Action       Date:  2010-02-24       Impact factor: 2.640

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