Evidence map›Paper›PMID 35135610›Full record

ArticleJournal of foot and ankle research2022

Australian podiatrists scheduled medicine prescribing practices and barriers and facilitators to endorsement: a cross-sectional survey.

Kristin Graham, Lisa Matricciani, Helen Banwell, Saravana Kumar, Ryan Causby, Saraid Martin, Lisa Nissen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of foot and ankle research, 2022. 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
1.4field-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

4 citing papers in PubMed, 5 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 2 institutions in 1 country.

Kristin GrahamAllied Health & Human Performance, The University of South Australia, North Terrace, Adelaide, SA, 5000, Australia. kristin.graham@unisa.edu.au.ORCID http://orcid.org/0000-0002-1864-1856
Lisa MatriccianiAllied Health & Human Performance, The University of South Australia, North Terrace, Adelaide, SA, 5000, Australia.
Helen BanwellAllied Health & Human Performance, The University of South Australia, North Terrace, Adelaide, SA, 5000, Australia.
Saravana KumarAllied Health & Human Performance, The University of South Australia, North Terrace, Adelaide, SA, 5000, Australia.
Ryan CausbyAllied Health & Human Performance, The University of South Australia, North Terrace, Adelaide, SA, 5000, Australia.
Saraid MartinAllied Health & Human Performance, The University of South Australia, North Terrace, Adelaide, SA, 5000, Australia.
Lisa NissenFaculty of Health School of Clinical Sciences, Queensland University of Technology, Brisbane, QL, 4000, Australia.
University of South Australia · AUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-medical prescribing is one healthcare reform strategy that has the potential to create health system savings and offer equitable and timely access to scheduled medicines. Podiatrists are well positioned to create health system efficiencies through prescribing, however, only a small proportion of Australian podiatrists are endorsed to prescribe scheduled medicines. Since scheduled medicines prescribed by Australian podiatrists are not subsidised by the Government, there is a lack of data available on the prescribing practices of Australian podiatrists. The aim of this research was to investigate the prescribing practices among Australian podiatrists and to explore barriers and facilitators that influence participation in endorsement.

methodsParticipants in this quantitative, cross-sectional study were registered and practicing Australian podiatrists who were recruited through a combination of professional networks, social media, and personal contacts. Respondents were invited to complete a customised self-reported online survey, developed using previously published research, research team's expertise, and was piloted with podiatrists. The survey contained three sections: demographic data including clinical experience, questions pertaining to prescribing practices, and barriers and facilitators of the endorsement pathway.

resultsRespondents (n = 225) were predominantly female, aged 25-45, working in the private sector. Approximately one quarter were endorsed (15%) or in training to become endorsed (11%). Of the 168 non-endorsed respondents, 66% reported that they would like to undertake training to become an endorsed prescriber. The most common indications reported for prescribing or recommending medications include nail surgery (71%), foot infections 474 (88%), post-operative pain (67%), and mycosis (95%). The most recommended Schedule 2 medications were ibuprofen, paracetamol, and topical terbinafine. The most prescribed Schedule 4 medicines among endorsed podiatrists included lignocaine (84%), cephalexin (68%), flucloxacillin (68%), and amoxicillin with clavulanic acid (61%).

conclusionPodiatrists predominantly prescribe scheduled medicines to assist pain, inflammatory, or infectious conditions. Only a small proportion of scheduled medicines available for prescription by podiatrists with endorsed status were reportedly prescribed. Many barriers exist in the current endorsement for podiatrists, particularly related to training processes, including mentor access and supervised practice opportunities. Suggestions to address these barriers require targeted enabling strategies.

Indexed as

Allied Health PersonnelPrescriptionsAdultAustraliaCross-Sectional StudiesFemaleHumansMiddle AgedSurveys and QuestionnairesEndorsement for scheduled medicinePodiatryPrescribing

Identifiers

PMID35135610
PMCPMC8822637
OpenAlexW4225713215

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.