Evidence map›Paper›PMID 34076940›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2021

Developing and user testing new pharmacy label formats-A study to inform labelling standards.

Vivien Tong, Parisa Aslani, David K Raynor, Diana Shipp, Brian Parkinson, Daniel Lalor, Andrew Sobey, Alice Gilbert, Jackie Crofton, Joanne Young and 3 more

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Developing and user testing new pharmacy label formats-A study to inform labelling standards.Health expectations : an international journal of public participation in health care and health policy · 2021
    Article
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

13 authors.

Vivien TongThe University of Sydney School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0003-4869-7364
Parisa AslaniThe University of Sydney School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-7976-8236
David K RaynorSchool of Healthcare, University of Leeds, Leeds, UK.ORCID 0000-0003-0306-5275
Diana ShippAustralian Commission on Safety and Quality in Health Care, Sydney, NSW, Australia.
Brian ParkinsonMaking Sense Design, Sheffield, UK.
Daniel LalorPharmacy Department, Canberra Hospital and Health Services, Canberra, ACT, Australia.
Andrew SobeyPharmacy Department, Canberra Hospital and Health Services, Canberra, ACT, Australia.
Alice GilbertTop End Health Service, Northern Territory Department of Health, Darwin, NT, Australia.
Jackie CroftonDepartment of Pharmacy, Royal Darwin Hospital, Darwin, NT, Australia.
Joanne YoungPharmacy Department, The Royal Melbourne Hospital, Melbourne, VIC, Australia.
Sophie CarterThe University of Sydney School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Wing PoonSchool of Pharmacy, The University of Nottingham, Nottingham, UK.
Shrada ChitlangiaSchool of Pharmacy, The University of Nottingham, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDispensed prescription medicine labels (prescription labels) are important information sources supporting safe and appropriate medicines use.

objectiveTo develop and user test patient-centred prescription label formats.

methodsFive stages: developing 12 labels for four fictitious medicines of varying dosage forms; diagnostic user testing of labels (Round 1) with 40 consumers (each testing three labels); iterative label revision, and development of Round 2 labels (n = 7); user testing of labels (Round 2) with 20 consumers (each testing four labels); labelling recommendations. Evaluated labels stated the active ingredient and brand name, using various design features (eg upper case and bold). Dosing was expressed differently across labels: frequency of doses/day, approximate times of day (eg morning), explicit times (eg 7 to 9 AM), and/or explicit dosing interval. Participants' ability to find and understand medicines information and plan a dosing schedule were assessed.

resultsParticipants demonstrated satisfactory ability to find and understand the dosage for all label formats. Excluding active ingredient and dosing schedule, 14/19 labels (8/12 in Round 1; 6/7 in Round 2) met industry standard on performance. Participants' ability to correctly identify the active ingredient varied, with clear medicine name sign-posting enabling all participants evaluating these labels to find and understand the active ingredient. When planning a dosing schedule, doses were correctly spaced if the label stated a dosing interval, or frequency of doses/day. Two-thirds planned appropriate dosing schedules using a dosing table.

conclusionsEffective prescription label formatting and sign-posting of active ingredient improved communication of information on labels, potentially supporting safe medicines use. PATIENT AND PUBLIC INVOLVEMENT: Consumers actively contributed to the development of dispensed prescription medicine labels. Feedback from consumers following the first round was incorporated in revisions of the labels for the next round. Patient and public involvement in this study was critical to the development of readable and understandable dispensed prescription medicine labels.

Indexed as

PharmaciesPharmacyPrescription DrugsDrug LabelingDrug PrescriptionsHumansPrescription Drugshealth communicationlabellinglabelsmedicine information

Identifiers

PMID34076940
PMCPMC8369108

What OpenQuestion holds

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Registered trials

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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.