Using Primary Care Prescribing Databases to Determine Drug Switching and Continuation of Care

Mohamed, Isa Naina; Helms, P; McLay, James S.

doi:10.1111/j.1742-7843.2012.00917.x

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…These concerns were probably founded as literature showed that differences in medicinal product name, packaging and physical attributes negatively influence medication adherence and result in medication errors, due to patient confusion and discontent [32][33][34][35][36][37][38]. Studies also confirmed that good communication with patients is essential when medication switches occur [39][40][41].…”

Section: Financial Detrimentmentioning

confidence: 99%

Attitudes of Physicians and Pharmacists Towards International Non‐Proprietary Name Prescribing in Belgium

Bever

Elseviers

Plovie

et al. 2014

Basic Clin Pharma Tox

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International Non-proprietary Name (INN) prescribing is the use of the name of the active ingredient(s) instead of the brand name for prescribing. In Belgium, INN prescribing began in 2005 and a major policy change occurred in 2012. The aim was to explore the opinions of Dutch-speaking general practitioners (GPs) and pharmacists. An electronic questionnaire with 39 five-point Likert scale statements and one open question was administered in 2013. Multivariate analysis was performed with multiple linear regression on a sum score for benefit statements and for drawback statements. Answers to the open question were qualitatively analysed. We received 745 valid responses with a representable sample for both subgroups. Participants perceived the motives to introduce INN prescribing as purely economic (to reduce pharmaceutical expenditures for the government and the patient). Participants accepted the concept of INN prescribing, but 88% stressed the importance of guaranteed treatment continuity, especially in older, chronic patients, to prevent patient confusion, medication non-adherence and erroneous drug use. In conclusion, the current way in which INN prescribing is applied in Belgium leads to many concerns among primary health professionals about patient confusion and medication adherence. Slightly adapting the current concept of INN prescribing to these concerns can turn INN prescribing into one of the major policies in Belgium to reduce pharmaceutical expenditures and to stimulate rational drug prescribing.

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Section: Financial Detrimentmentioning

confidence: 99%

Attitudes of Physicians and Pharmacists Towards International Non‐Proprietary Name Prescribing in Belgium

Bever

Elseviers

Plovie

et al. 2014

Basic Clin Pharma Tox

View full text Add to dashboard Cite

show abstract

“…The development of claims databases and health data registers has facilitated quality assessment and research on drug utilization [5][6][7][8][9]. However, most of these databases only cover prescribed drugs in ambulatory care.…”

mentioning

confidence: 99%

Extraction of Electronic Health Record Data in a Hospital Setting: Comparison of Automatic and Semi‐Automatic Methods Using Anti‐TNF Therapy as Model

Cars

Wettermark

Malmström

et al. 2013

Basic Clin Pharma Tox

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There is limited experience and methods for extractions of drug therapy data from electronic health records (EHR) in the hospital setting. We have therefore developed and evaluated completeness and consistency of an automatic versus a semiautomatic extraction procedure applied on prescribing and administration of the TNF inhibitor infliximab using a hospital EHR system in Karolinska University Hospital, Sweden. Using two different extraction methods (automatic and semi-automatic), all administered infusions of infliximab between 2007 and 2010 were extracted from a database linked to the EHR system. Extracted data included encrypted personal identity number (PIN), date of birth, sex, time of prescription/administration, healthcare units, prescribed/administered dose and time of admission/discharge. The primary diagnosis (ICD-10) for the treatment with infliximab was extracted by linking infliximab infusions to their corresponding treatment episode. A total of 13,590 infusions of infliximab were administered during the period of 2007 to 2010. Of those were 13,531 (99.6%) possible to link to a corresponding treatment episode, and a primary diagnosis was extracted for 13,530 infusions. Information on encrypted PIN, date of birth, time of prescription/administration, time of admission/discharge and healthcare unit was complete. Information about sex was missing in one patient only. Calculable information about dosage was extracted for 13,300 (98.3%) of all linked infusions. This methodological study showed the potential to extract drug therapy data in a hospital setting. The semi-automatic procedure produced an almost complete pattern of demographics, diagnoses and dosages for the treatment with infliximab.

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Strategies for measuring prescription medication switching with pharmacy claims data: a scoping review protocol

Harris

Bouck

Tricco

et al. 2021

JBI Evidence Synthesis

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Objective: This scoping review will aim to compare strategies for measuring prescription medication switching with pharmacy claims data, with a focus on psychotropic vs non-psychotropic medications. Introduction: Medication switching (ie, the replacement of one medication for another) is common and occurs due to several factors (such as adverse effects to a specific medication). In pharmacoepidemiology studies that use pharmacy claims data, it is important to identify and account for switches; however, due to data limitations and lack of a methodological standard, this can be challenging. The aim of this scoping review is to describe how studies have previously measured medication switching with pharmacy claims data in order to create a repository of common strategies and highlight areas for future research. Inclusion criteria: This review will include studies that have used pharmacy claims data to measure medication switching as their primary independent or dependent variable. Studies conducted at the individual level (ie, not ecological), published between January 1, 1980, and October 31, 2020, and investigating orally administered, non-anti-infective medications will be considered. No age, population, or context restrictions are specified as inclusion criteria. Methods: JBI methodology and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews were used for this protocol. MEDLINE (PubMed), Embase (Ovid), Central (Cochrane Library), CINAHL (EBSCO), and Google Scholar will be searched with the assistance of a health sciences research librarian. Two reviewers will independently screen titles, abstracts, and full-text articles. Strategies for measuring medication switching will be narratively described and summarized overall and by broad medication class.

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Using Primary Care Prescribing Databases to Determine Drug Switching and Continuation of Care

Cited by 3 publications

References 29 publications

Attitudes of Physicians and Pharmacists Towards International Non‐Proprietary Name Prescribing in Belgium

Attitudes of Physicians and Pharmacists Towards International Non‐Proprietary Name Prescribing in Belgium

Extraction of Electronic Health Record Data in a Hospital Setting: Comparison of Automatic and Semi‐Automatic Methods Using Anti‐TNF Therapy as Model

Strategies for measuring prescription medication switching with pharmacy claims data: a scoping review protocol

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