ArticleBMC medical informatics and decision making2006
Linking community pharmacy dispensing data to prescribing data of general practitioners.
Article in BMC medical informatics and decision making, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- General practice variation in peptic ulcer prophylaxis: a nationwide register-based study.Scandinavian journal of primary health care · 2025Article
- Linkage of primary care prescribing records and pharmacy dispensing Records in the Salford Lung Study: application in asthma.BMC medical research methodology · 2020Article
- A cooperation project between hospital pharmacists and general practitioners about drug interactions in clinical practice.European journal of hospital pharmacy : science and practice · 2018Article
- Community pharmacy: an untapped patient data resource.Integrated pharmacy research & practice · 2016Review
- Validation of three geolocation strategies for health-facility attendees for research and public health surveillance in a rural setting in western Kenya.Epidemiology and infection · 2014Article
- Correspondence between general practitioner-reported medication use and timing of prescription dispensation.Clinical epidemiology · 2012Article
- Initiation of antidepressant therapy: do patients follow the GP's prescription?The British journal of general practice : the journal of the Royal College of General Practitioners · 2009Article
- Article
- Patient risk profiles and practice variation in nonadherence to antidepressants, antihypertensives and oral hypoglycemics.BMC health services research · 2007Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDatabases are frequently used for pharmacoepidemiological research. However, most of these databases consist either of prescribing, dispensing or administrative data and therefore lack insight in the interaction between the several health professionals around the patient.
methodsTo determine the success rate of linking records from the dispensing database of the Foundation for Pharmaceutical Statistics to the prescribing database of the second Dutch national survey of general practice, conducted by NIVEL (Netherlands Institute for Health Services Research), a deterministic record linkage approach was used with patient and prescription characteristics as matching variables between the two databases.
resultsThe catchment area included 123 community pharmacies, 90 GP practices and approximately 170,000 unique patients. Overall 110,102 (64.8%) unique patients were linked using the matching variables patient's gender, year of birth, the 4-digit part of the postal code, date of dispensing/prescribing and ATC-code. The final database contains of the 110,102 both prescribing data from 83 GP practices and dispensing data of 112 community pharmacies.
conclusionThis study shows that linkage of dispensing to prescribing data is feasible with a combination of patient characteristics, such as gender, year of birth and postal code, and prescription characteristics like prescription date and ATC-code. We obtained a linkage proportion of 64.8% resulting in complete prescribing and dispensing history of 110,102 patients. This offers an opportunity to gain insight in the mechanisms and factors influencing drug utilisation in general practice.
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