Evidence map›Paper›PMID 30416632›Full record

ArticlePharmacy practice

Management of allergic rhinitis in the community pharmacy: identifying the reasons behind medication self-selection.

Rachel Tan, Biljana Cvetkovski, Vicky Kritikos, Kwok Yan, David Price, Peter Smith, Sinthia Bosnic-Anticevich

Open access · diamondAbstract read
In one paragraph

Article in Pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

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.

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

16 citing papers in PubMed, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

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

7 authors at 4 institutions in 3 countries.

Rachel TanQuality Use of Respiratory Medicines Group, Woolcock Institute of Medical Research, University of Sydney. Sydney (Australia). stan6464@uni.sydney.edu.au.ORCID 0000-0001-5171-4036
Biljana CvetkovskiQuality Use of Respiratory Medicines Group, Woolcock Institute of Medical Research, University of Sydney. Sydney, NSW (Australia). biljana.cvetkovski@sydney.edu.au.ORCID 0000-0003-2297-814
Vicky KritikosClinical Researcher Pharmacist. Quality Use of Respiratory Medicines Group, Woolcock Institute of Medical Research, University of Sydney; & Department of Respiratory Medicine, Royal Prince Alfred Hospital. Sydney, NSW (Australia). vicky.kritikos@sydney.edu.au.ORCID 0000-0003-3955-0002
Kwok YanDepartment of Respiratory Medicine, Royal Prince Alfred Hospital. Sydney, NSW (Australia). kwokyan@yansydney.com.ORCID 0000-0002-0405-0780
David PriceAcademic Primary Care, University of Aberdeen, Aberdeen (United Kingdom). dprice@opri.sg.ORCID 0000-0002-9728-9992
Peter SmithInstitution: Clinical Medicine, Griffith University. Southport, QLD (Australia). pksm@mac.com.ORCID 0000-0002-2629-8963
Sinthia Bosnic-AnticevichProfessor and Principal Research Fellow. Quality Use of Respiratory Medicines Group, Woolcock Institute of Medical Research, University of Sydney; & Sydney Local Health District, Sydney, NSW (Australia). sinthia.bosnic-anticevich@sydney.edu.au.ORCID 0000-0001-5077-8329
Woolcock Institute of Medical Research · AUGriffith University · AURoyal Prince Alfred Hospital · AUUniversity of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunity pharmacists have a key role to play in the management of allergic rhinitis (AR). Their role is especially important because the majority of medications used to treat AR are available for purchase over-the-counter (OTC), allowing patients to self-select their own medications and bypass the pharmacists. Patients' self-selection often results in suboptimal treatment selection, undertreated AR and poor clinical outcomes. In order for pharmacists to optimise the care for AR patients in the pharmacy, pharmacists need to be able to identify patient cohorts who self-select and are at high risk of mismanagement.

objectivesThis study aimed to compare the demographics, clinical characteristics and medication selected, between pharmacy customers who choose to self-select and those who speak with a pharmacist when purchasing medication for their AR in a community pharmacy and identify factors associated with AR patients' medication(s) self-selection behaviour.

methodsA cross-sectional observational study was conducted in a convenience sample of community pharmacies from the Sydney metropolitan area. Demographics, pattern of AR symptoms, their impact on quality of life (QOL) and medication(s) selected, were collected. Logistic regressions were used to identify factors associated with participants' medication self-selection behaviour.

resultsOf the 296 recruited participants, 202 were identified with AR; 67.8% were female, 54.5% were >40 years of age, 64.9% had a doctor's diagnosis of AR, and 69.3% self-selected medication(s). Participants with AR who self-select were 4 times more likely to experience moderate-severe wheeze (OR 4.047, 95% CI 1.155-14.188) and almost 0.4 times less likely to experience an impact of AR symptoms on their QOL (OR 0.369, 95% CI 0.188-0.727).

conclusionsThe factors associated with AR patients' self-selecting medication(s) are the presence of wheeze and the absence of impact on their QOL due to AR symptoms. By identifying this cohort of patients, our study highlights an opportunity for pharmacists to engage these patients and encourage discussion about their AR and asthma management.

Indexed as

AllergicAustraliaCommunity Pharmacy ServicesMultivariate AnalysisPharmaciesProfessional RoleQuality of LifeRhinitisSeasonalSelf MedicationSurveys and Questionnaires

Identifiers

PMID30416632
PMCPMC6207357
OpenAlexW2893794302

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.