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International Journal of Pharmacy Practice
Article . 2013 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Non-response in a pharmacy and patient-based intensive monitoring system: a quantitative study on non-response bias and reasons for non-response

a quantitative study on non-response bias and reasons for non-response
Authors: Härmark, Linda V D; Huls, Harmen J; de Gier, J J Han; van Grootheest, A C Kees;

Non-response in a pharmacy and patient-based intensive monitoring system: a quantitative study on non-response bias and reasons for non-response

Abstract

Abstract Objective Worldwide pharmacists play an increasingly important role in pharmacovigilance. Lareb Intensive Monitoring (LIM) in the Netherlands is a new form of active pharmacovigilance where pharmacists play a key role. Patients using drugs which are monitored are identified in the pharmacy and invited to participate in the active monitoring. Not all invited patients participate. This study aimed to investigate non-response bias in LIM, as well as reasons for non-response in order to identify barriers to participation. Methods The study population consisted of patients who received a first dispensation of an antidiabetic drug monitored with LIM between 1 July 2010 and 28 February 2011. Possible non-response bias was investigated by comparing age, gender and the number of drugs used as co-medication. Reasons for non-response were investigated using a postal questionnaire. Key findings Respondents were on average 4.5 years younger than non-respondents and used less co-medication. There were no differences regarding gender. The main reason for non-response was that information in the pharmacy was lacking. Conclusion Differences between respondents and non-respondents should be taken into account when analysing and generalising data collected through LIM, as this might contribute to non-response bias. The relatively high response to the postal questionnaire, together with the answers about reasons for non-response, show that patients are willing to participate in a web-based intensive monitoring system, when they are informed and invited in the pharmacy.

Country
Netherlands
Keywords

Adult, Male, Databases, Factual, Patients, Age Factors, Middle Aged, Pharmacists, Pharmacovigilance, Sex Factors, Bias, Adverse Drug Reaction Reporting Systems, Humans, Hypoglycemic Agents, Drug Therapy, Combination, Female, Drug Monitoring, Aged, Netherlands

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
hybrid