Literature DB >> 19712006

Case-control studies in pharmacoeconomic research: an overview.

J Jaime Caro1, Krista F Huybrechts.   

Abstract

The case-control approach has been a mainstay of epidemiological studies, particularly those investigating aetiology. Many articles addressing pharmacoeconomic topics have reported studies purported to be of the case-control type. However, on examination, these were actually standard cohort studies that were misnamed because they compared cases of a particular illness to 'controls' without the illness. The actual case-control design involves a series of cases with the outcome of interest. In pharmacoeconomic applications, the outcome of interest would typically be high cost, or hospitalization, or return to full quality of life. The illness does not define cases, but rather is actually the 'exposure'. The 'controls' must be a sample of the study base, not subjects without the illness. In this article, we review the features of a proper case-control study and contrast them with those of the more common cohort study. Confusing the control series of a cohort study with the 'controls' in a case-control study leads to serious problems with understanding the research, its strengths and drawbacks (e.g. confounding concerns), and interpretation of the findings. Although the case-control design has so far been used little to address pharmacoeconomic questions, it can be very efficient in certain situations, particularly when obtaining data on all subjects is burdensome or when conditions provide a ready case series but not the rest of the subjects.

Mesh:

Year:  2009        PMID: 19712006     DOI: 10.2165/11314780-000000000-00000

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  53 in total

1.  Estimating risk and rate levels, ratios and differences in case-control studies.

Authors:  Gary King; Langche Zeng
Journal:  Stat Med       Date:  2002-05-30       Impact factor: 2.373

2.  Selection of controls in case-control studies. III. Design options.

Authors:  S Wacholder; D T Silverman; J K McLaughlin; J S Mandel
Journal:  Am J Epidemiol       Date:  1992-05-01       Impact factor: 4.897

3.  Estimability and estimation in case-referent studies.

Authors:  O Miettinen
Journal:  Am J Epidemiol       Date:  1976-02       Impact factor: 4.897

4.  A method of estimating comparative rates from clinical data; applications to cancer of the lung, breast, and cervix.

Authors:  J CORNFIELD
Journal:  J Natl Cancer Inst       Date:  1951-06       Impact factor: 13.506

5.  Treatment costs and loss of work time to individuals with chronic lymphatic filariasis in rural communities in south India.

Authors:  K D Ramaiah; H Guyatt; K Ramu; P Vanamail; S P Pani; P K Das
Journal:  Trop Med Int Health       Date:  1999-01       Impact factor: 2.622

6.  Confounding: essence and detection.

Authors:  O S Miettinen; E F Cook
Journal:  Am J Epidemiol       Date:  1981-10       Impact factor: 4.897

7.  Cost of Alzheimer's disease and related dementia in managed-medicare.

Authors:  E M Gutterman; J S Markowitz; B Lewis; H Fillit
Journal:  J Am Geriatr Soc       Date:  1999-09       Impact factor: 5.562

8.  Population-based case-control study of morale in Parkinson's disease.

Authors:  J Benito-León; E D Louis; F Bermejo-Pareja
Journal:  Eur J Neurol       Date:  2009-03       Impact factor: 6.089

9.  Evaluation of the efficacy of ribavirin therapy on survival of Crimean-Congo hemorrhagic fever patients: a case-control study.

Authors:  Shahrokh Izadi; Masoud Salehi
Journal:  Jpn J Infect Dis       Date:  2009-01       Impact factor: 1.362

Review 10.  Epidemiological study design and the advancement of equine health.

Authors:  G T Fosgate; N D Cohent
Journal:  Equine Vet J       Date:  2008-11       Impact factor: 2.888

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