Literature DB >> 16145719

Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer.

Rochelle Belkar1, Denzil G Fiebig, Marion Haas, Rosalie Viney.   

Abstract

The decision to undertake a screening test is conditional upon awareness of screening. From an econometric perspective there is a potential selection problem, if no distinction is made between aware and unaware non-screeners. This paper explores this problem through analysis of the determinants of cervical screening in Australia. Cervical cancer is one of the most preventable and curable forms of cancer. Since 1991 there has been a concerted effort in Australia to recommend and encourage women to have Pap smears every two years. The success of this program can be partly gauged by exploring the determinants of screening for cervical cancer. Using unit record data from the 1995 National Health Survey, an econometric model is developed for whether women have ever screened or not. A proportion of women in the sample contend that they have never heard of a Pap test. The analysis characterizes this group of women and accounts for their presence in the modelling. The paper demonstrates failing to model awareness can result in inconsistent parameter estimates even when the degree of censoring in the sample is relatively small. Copyright (c) 2005 John Wiley & Sons, Ltd.

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Year:  2006        PMID: 16145719     DOI: 10.1002/hec.1013

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  3 in total

1.  Differing types of medical prevention appeal to different individuals.

Authors:  Nicolas Bouckaert; Erik Schokkaert
Journal:  Eur J Health Econ       Date:  2015-07-19

2.  Determinants of the demand for using preventive medical care among adults in penang, malaysia.

Authors:  Yong Kang Cheah
Journal:  Malays J Med Sci       Date:  2013-01

3.  Cervical cancer screening service utilisation in UK.

Authors:  Alexander Labeit; Frank Peinemann; Abbi Kedir
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

  3 in total

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