2004
DOI: 10.1002/pds.1037
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Selective prescribing of atypical antipsychotics

Abstract: In particular olanzapine and also risperidone were selectively prescribed to patients formerly treated with other antipsychotics and to those susceptible for EPS. If not recognised or controlled for, observational studies comparing different antipsychotic drugs may produce biased results on efficacy or frequency of side effects for the different types of antipsychotics.

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Cited by 8 publications
(8 citation statements)
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“…Instead, we used the co‐prescribing of APDs as an indicator of probable EPS when antipsychotics were also prescribed. The use of ADPs as an indicator has been supported by the literature 11 , 55 , 56 , 57 , 58 , 59 …”
Section: Methodsmentioning
confidence: 91%
See 1 more Smart Citation
“…Instead, we used the co‐prescribing of APDs as an indicator of probable EPS when antipsychotics were also prescribed. The use of ADPs as an indicator has been supported by the literature 11 , 55 , 56 , 57 , 58 , 59 …”
Section: Methodsmentioning
confidence: 91%
“…The use of ADPs as an indicator has been supported by the literature. 11,[55][56][57][58][59] Because the switching within and between FGAs and SGAs is common in patients with schizophrenia, some hospitalizations involved the use of both types of medications. To clearly attribute EPS to a specific drug, a subset of hospitalizations using only one oral antipsychotic was extracted to estimate the prevalence of EPS for individual antipsychotics.…”
Section: Methodsmentioning
confidence: 99%
“…Over time, as reimbursement factors change and clinicians gain greater training in administration of LAR microspheres, patient selection for LAR may change. Similar channeling biases have been demonstrated in selection of antipsychotic medications 49. Fourth, in order to help ensure complete prescription data retrieval, patients with extensive inpatient treatment before starting depot were excluded.…”
Section: Discussionmentioning
confidence: 97%
“…We reviewed over 10,000 abstracts and employed a comprehensive search strategy to identify relevant articles [50], 14 were identified through back references, Scopus citations or Google Scholar searches, indicating the challenges of targeted searching and the diversity of keywords and subject headings used across studies and databases. We excluded articles that were not published in English; as nearly half of included studies originated from Europe we may have missed studies published in other languages [51,52]. Our estimates of prescription drug misuse are solely from the perspective of the health care payer; we are unable to address access issues outside the dispensing episodes observed in our data set including medication obtained illegally.…”
Section: Discussionmentioning
confidence: 99%
“…A) 3.7% (n=940) C) 2.5% (n=274) B) 4.2% (n=1,129) D) 4.5% (n=1,212) 5) Receipt of ≥4 different BZDs (120 days) A) 1.7% (n=432) C) 0.6% (n=66) B) 1.9% (n=511) D) 1.9% (n=512) 6) Pharmacy hopping: dispensed same BZD from ≥2 pharmacies (7 days) A) 7.7% (n=1,956) C) 3.7% (n=405) B) 3.8% (n=1,090) D) 3.9% (n=1,050) 7) Receipt of a long half-life BZD for person aged >65 years (Various) A) 56.1% (n unclear) C) 51.3% (n unclear) B) 52.6% (n unclear) D) 48.6% (n unclear) A) 42.8% (n=10,871) C) 45.1% (n=4,929) B) 40 Period of observation covers the entire year, unless otherwise stated. c Reported aim(s) and cohort(s) may differ from original article as we only report aspects of paper related to prescription drug misuse.…”
Section: A) Abusersmentioning
confidence: 99%