Evidence map›Paper›PMID 30997622›Full record

ArticleInternational journal of clinical pharmacy2019

Unavailable prescriptions at Danish community pharmacies: A descriptive study.

Carina Lundby, Anne Vejrum Nielsen, Susanne Bendixen, Anna Birna Almarsdóttir, Anton Pottegård

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Article in International journal of clinical pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Carina LundbyHospital Pharmacy Funen, Odense University Hospital, Solfaldsvej 38, Entrance 208, 5000, Odense C, Denmark. carina.lundby.olesen@rsyd.dk.ORCID http://orcid.org/0000-0002-2121-6252
Anne Vejrum NielsenSocial and Clinical Pharmacy, Department of Pharmacy, University of Copenhagen, Copenhagen Ø, Denmark.
Susanne BendixenCopenhagen Sønderbro Pharmacy, Copenhagen S, Denmark.
Anna Birna AlmarsdóttirSocial and Clinical Pharmacy, Department of Pharmacy, University of Copenhagen, Copenhagen Ø, Denmark.
Anton PottegårdHospital Pharmacy Funen, Odense University Hospital, Solfaldsvej 38, Entrance 208, 5000, Odense C, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Handling of unavailable prescriptions, i.e. prescriptions missing on the online server, is considered troublesome and time-consuming by community pharmacy staff and may result in both patient dissatisfaction and non-compliance. Objective To describe the occurrence and reasons for unavailable prescriptions at Danish community pharmacies as well as the types of drugs involved. Method An online 11-item questionnaire was developed and distributed to 24 community pharmacies across Denmark which each collected data on unavailable prescriptions handled within a 3-week period. Results Out of 194,358 prescriptions dispensed during the study period, a total of 2765 (1.4%) unavailable prescriptions were registered. Of these, 51.1% (n = 1412) occurred when a patient expected a new prescription after having consulted a physician, most often the patient's general practitioner (75.6%; n = 1067). Of all unavailable prescriptions, 68.1% (n = 1882) concerned prescriptions on regular drugs for treatment of a chronic condition, with the patient not having any medication left in 27.9% (n = 526) of these cases. Unavailable prescriptions most frequently concerned cardiovascular drugs (15.8%; n = 437) followed by nervous system drugs (14.4%; n = 399). Conclusion Unavailable prescriptions occur in approximately 1% of all dispensing at Danish community pharmacies. Miscommunication between the patient and general practitioner seems to be the primary source of unavailable prescriptions.

Indexed as

Patient SatisfactionSurveys and QuestionnairesCommunity Pharmacy ServicesDenmarkDrug PrescriptionsElectronic PrescribingFemaleHumansMaleCommunity pharmacyDrug prescriptionElectronic prescribingMissing prescription

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.