Computerization of outpatient pharmacy records in the Netherlands is almost universal and so is (because of the patient’s habit to frequent only one pharmacy) the compilation of longitudinal prescription drug histories.
COMPUTERIZATION OF THE DUTCH
COMMUNITY PHARMACY SYSTEM
Computerization
of outpatient pharmacy records in the Netherlands is almost universal and so is
(because of the patient’s habit to frequent only one pharmacy) the compilation
of longitudinal prescription drug histories. Although computerization has
started for administrative (reimbursement) purposes, medi-cation surveillance
and computerized stock holding and ordering have become important incentives
for optimal registration of drug dispensing. Computer-ized medication
surveillance tracks change in dosages of chronic medications, correct dosing
(especially for elderly and children), contra-indications (deducted from
previously prescribed medications) and interac-tions between concomitant
medications. In case of ‘abnormal’ situations, a signal will be generated that
needs to be verified by the pharmacist (Herings, 1993; Leufkens and Urquhart,
2005).
All
information stored in pharmacy computers, independent of the employed software
or hardware, is primarily based on the information written on a prescription
order by a GP, dentist or specialist. The information that should be stated on
this order is legally regulated and has to comprise the prescribed product, the
date of prescription, name and resi-dence of prescriber, a patient identifier
(name) and the daily dose regimen. For reimbursement purposes, the amount
dispensed is also available on each prescription (Herings, 1993).
The
longitudinal data collection in pharmacies, the completeness of data and the
fact that all prescription drugs are recorded (independent of reimbursement)
make these data a useful source for pharmacoepi-demiological research. They
have served for national cohort tracking in case of drug alerts after which
outcome data may be either linked or collected by ad hoc methods (Visser et al., 1996). The PHARMO database is
based on pharmacy data and is unique in the Netherlands for its record linkage
with national hospitalization registries and recently in subsets also with
inpatient pharmacy data, laboratory, cancer and pathology registries (www.pharmo.nl).
The
PHARMO record linkage system was devel-oped in the early 1990s by Herings and
Stricker. It now includes the drug-dispensing records from community pharmacies
and hospital discharge records of about 2 million community-dwelling
inhabi-tants of 30 medium-sized cities in the Netherlands (www.pharmo.nl).
Until 2006, patients in the Nether-lands did not have a unique identifier.
Therefore, the underlying source population is not exactly known, but it has
been estimated by using information for each city from the Bureau of Statistics
(CBS). Patients that are registered within the pharmacy files are regarded as
non-residents and eliminated from the patient regis-ters if they did not have
recorded a family practitioner residential in one of the cities. Patients are
assumed to be present in the source population between the first and last
encounter in the pharmacy. For all resi-dents, the drug-dispensing histories
are linked on a yearly basis to the national hospital discharge records of the
same patient, using a probabilistic algorithm, based on characteristics such as
date of birth, gender and a code for the GP since no unique patient iden-tifier
was present until 2006. Validation of the initial database in 1993 (nine cities)
showed that these registries are linked with a sensitivity and specificity
exceeding 95%, which is comparable with record linkage systems based on unique
personal identifiers (Herings, 1993).
The
computerized drug-dispensing histories con-tain outpatient prescription data
concerning the dispensed drug, type of prescriber, dispensing date, dispensed
amount, prescribed dose regimens and the legend duration (prescription length).
The hospi-tal records include detailed information concerning the primary and
secondary diagnoses, procedures and dates of hospital admission and discharge.
All diagnoses are coded according to the International
Classification of Diseases, 9th Revision,
Clinical Modification (ICD-9-CM). Recently, PHARMO RLS has been linked to national pathology data and a regional cancer
registry. For subsets of the database linkage with in-hospital drug use and
outpatient labo-ratory data as well as primary care data are also avail-able.
Five years ago, the PHARMO record linkage system has been transferred from the
Department of Pharmacoepidemiology and Therapeutics at Utrecht University to
the PHARMO research institute.
The
database has been used by the Department of Pharmacoepidemiology at Utrecht
University and the PHARMO Institute for studies on drug utiliza-tion,
persistence with treatment, economic impact and adverse drug reactions. For a
complete updated list of publications that were based on PHARMO RLS data, the
website can be inspected (www.pharmo.nl).
The
impact of recent policy changes on the Dutch health care structure and quality
of data in claims databases is unclear. The Dutch health care system is moving
ahead in the direction of more market forces, freedom of choice by patients and
more emphasis on cost containment and efficiency (Leufkens and Urquhart, 2005).
The recording of diagnoses in the national registry of discharge diagnosis will
change because of the introduction of a Diagnosis-Related Group (DRG) system,
but the strong actuarial basis of the GP will continue. A national electronic
patient record should exist by 2007 with the use of a unique national patient
identifier. This identifier might facil-itate record linkage, but its
introduction will rein-force privacy legislations that may actually negatively
impact on the possibility to conduct record linkage studies.
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