Literature DB >> 16315340

Analysing duration of episodes of pharmacological care: an example of antidepressant use in Danish general practice.

Anthony Gichangi1, Morten Andersen, Jakob Kragstrup, Werner Vach.   

Abstract

Analysing duration of treatment episodes has become a standard task in many pharmacoepidemiological studies. However, such analyses are often carried out in a rather simplistic manner and more subtle issues are often ignored. In this paper, methods of analysing duration treatment episodes beyond simple analyses allowing investigation of the risk for certain events over time are demonstrated. In particular, the use of cumulative incidence functions, cause-specific hazard functions, hazard rate models and expected mortality in analysing duration of episodes is presented. We used these statistical techniques in analysing the early treatment history of patients who started a regular treatment with antidepressant drugs in the primary health care sector in Denmark. We have extracted some important features: The risk of discontinuing and switching treatment was very high around 10 weeks after starting treatment. After discontinuing the first treatment period, many patients soon started a second treatment period depending on the duration of the first treatment period with highest risk around 10 weeks. The mortality rate among the patients in treatment was about three times higher than the expected mortality. The risk of dying immediately after stopping treatment was about twice the expected mortality. The analysis suggests that: (1) there is a critical period for a first discontinuing, switching and restarting treatment around 10 weeks, (2) the GPs prescribing habits have more influence on the patterns than patient or drug characteristics, (3) over time Danish GPs tend to prolong the duration of first treatment period and avoid longer treatment breaks.

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Year:  2006        PMID: 16315340     DOI: 10.1002/pds.1160

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  6 in total

1.  Adherence to antidepressants among women and men described with trajectory models: a Swedish longitudinal study.

Authors:  Ann-Charlotte Mårdby; Linus Schiöler; Karolina Andersson Sundell; Pernilla Bjerkeli; Eva Lesén; Anna K Jönsson
Journal:  Eur J Clin Pharmacol       Date:  2016-08-03       Impact factor: 2.953

2.  Methods for constructing treatment episodes and impact on exposure-outcome associations.

Authors:  Laura Pazzagli; Lena Brandt; Marie Linder; David Myers; Panagiotis Mavros; Morten Andersen; Shahram Bahmanyar
Journal:  Eur J Clin Pharmacol       Date:  2019-11-22       Impact factor: 2.953

3.  New users of antidepressant medications: first episode duration and predictors of discontinuation.

Authors:  Christine Y Lu; Elizabeth Roughead
Journal:  Eur J Clin Pharmacol       Date:  2011-06-29       Impact factor: 2.953

Review 4.  Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources.

Authors:  Marianne Meaidi; Henrik Støvring; Klaus Rostgaard; Christian Torp-Pedersen; Kristian Hay Kragholm; Morten Andersen; Maurizio Sessa
Journal:  Eur J Clin Pharmacol       Date:  2021-07-10       Impact factor: 2.953

5.  Factors associated with switching and combination use of antidepressants in young Swedish adults.

Authors:  K Andersson Sundell; M G Petzold; S M Wallerstedt
Journal:  Int J Clin Pract       Date:  2013-10-09       Impact factor: 2.503

Review 6.  Methods for time-varying exposure related problems in pharmacoepidemiology: An overview.

Authors:  Laura Pazzagli; Marie Linder; Mingliang Zhang; Emese Vago; Paul Stang; David Myers; Morten Andersen; Shahram Bahmanyar
Journal:  Pharmacoepidemiol Drug Saf       Date:  2017-12-28       Impact factor: 2.890

  6 in total

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