ArticlePharmacy world & science : PWS1997
An evaluation of community pharmacy records in the development of pharmaceutical care in The Netherlands.
Article in Pharmacy world & science : PWS, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- The Connected Community Pharmacy: Benefits for Healthcare and Implications for Health Policy.Frontiers in pharmacology · 2018Article
- Medication assessment tool to detect care issues from routine data: a pilot study in primary care.International journal of clinical pharmacy · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An electronic patient database linking prescribes with a Dutch community pharmacy consortium was evaluated in a subset of the population of Noordwijk (11,760 patients out of a total of 25,600). The pharmacy database (a file of 41 disease contra-indications representing a subset of the prescribers' medical diagnosis) was studied in order to assess its value for the accurate discrimination of target patient groups within the community and for support to the pharmaceutical care of individual patients. The aim was to examine the application of the pharmacy records to pharmaceutical care, tested by measuring the accuracy of the pharmacy database to predict the community public health profile; and, more specifically, the accuracy to identify three potential target groups for pharmaceutical care. The records of patients with angina, chronic respiratory disease and diabetes (n = 1116), representing 65% of the total pharmacy morbidity records, were studied in detail and verified by the files and texts of the prescriber's individual patient records. From samples of patients (n = 273) from the three patient groups, the extent and nature of co-morbidity, polypharmacy (drug entities prescribed annually) and drug therapy instability (prescription changes to dose or dose form annually) were characterised. Angina patients showed the most comorbidity, 46% having three or more additional diseases; chronic respiratory disease patients showed most drug therapy instability; and insulin-dependent diabetic patients received most polypharmacy per disease. The pharmacy database predicted the prevalence of 10 of 23 relevant disease categories (representing 51% of the total morbidity on the medical records). However, the prevalences of eight categories were underestimated and of five categories overestimated. Of the three patient groups, 73% of patients appeared on both the pharmacy and the medical database. Of the total co-morbidity recorded for these patients, 68% of records were common to both databases. The database discrepancies (32%) were due to morbidity omitted (12%) and morbidity unverified (10%) on the pharmacy database, together with morbidity omitted from the medical database (10%). The current pharmacy database provides a limited view of morbidity. A strategic approach to pharmaceutical care requires pharmacists and prescribers to verify and share patient information if patient groups and individuals within a group are to be usefully targeted.
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