Literature DB >> 26732200

Calculating incidence in cross-sectional studies.

S K Raina1.   

Abstract

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Year:  2016        PMID: 26732200      PMCID: PMC4944334          DOI: 10.4103/0022-3859.173217

Source DB:  PubMed          Journal:  J Postgrad Med        ISSN: 0022-3859            Impact factor:   1.476


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Sir, I went through with interest the article entitled “Incidence and factors associated with medication nonadherence in patients with mental illness: A cross-sectional study” published in the “Journal of Postgraduate Medicine” (2015; 16:251-6).[1] The authors have conducted a cross-sectional study in the outpatient psychiatric department of a tertiary care private hospital over a period of 1 year and followed up the patients receiving at least one psychotropic medication for at least 1 month. The authors concluded that the overall incidence of medication nonadherence in patients with mental illness was 43%. I have concerns regarding the calculation of incidence for which reference to time is important.[2] The authors have actually provided us with an estimate of the proportion of nonadherence among patients on psychotropic medication and not incidence. As incidence involves a reference to time; it is not expressed as a percentage (as done by the authors) but as person-time.[3] In contrast, the proportion in statistics refers to the fraction of the total that possesses a certain attribute such as nonadherence in case of this study.

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1.  Incidence of malignancies in biopsy-proven inflammatory myopathy: comment and erratum.

Authors:  Sunil K Raina
Journal:  Neurol India       Date:  2013 May-Jun       Impact factor: 2.117

2.  Incidence and factors associated with medication nonadherence in patients with mental illness: a cross-sectional study.

Authors:  J M Lucca; M Ramesh; G Parthasarathi; D Ram
Journal:  J Postgrad Med       Date:  2015 Oct-Dec       Impact factor: 1.476

  2 in total
  1 in total

1.  Authors' reply.

Authors:  J M Lucca; M Ramesh; G Parthasarathi; D Ram
Journal:  J Postgrad Med       Date:  2016 Jan-Mar       Impact factor: 1.476

  1 in total

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