Evidence map›Paper›PMID 38970251›Full record

ArticleClinical and experimental dental research2024

Exploring the usability of simulated patient methodology in dental clinics in Western Australia: A pilot survey.

Viduni Liyange, Xin Rong Low, Joon Soo Park, Hien C Ngo, Rhonda Clifford, Liza Seubert

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Article in Clinical and experimental dental research, 2024. 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.

  1. Article
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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

6 authors.

Viduni LiyangeUWA Dental School, The University of Western Australia, Nedlands, Western Australia, Australia.
Xin Rong LowUWA Dental School, The University of Western Australia, Nedlands, Western Australia, Australia.
Joon Soo ParkUWA Dental School, The University of Western Australia, Nedlands, Western Australia, Australia.ORCID 0000-0002-2052-558X
Hien C NgoUWA Dental School, The University of Western Australia, Nedlands, Western Australia, Australia.ORCID 0000-0001-6067-8751
Rhonda CliffordSchool of Allied Health, The University of Western Australia, Crawley, Western Australia, Australia.
Liza SeubertSchool of Allied Health, The University of Western Australia, Crawley, Western Australia, Australia.

Funding

None
6 · The paper itself

Abstract

objectivesThis study aimed to explore the dental staff knowledge of simulated patient methodology and support for its use to investigate dental staffs' triaging ability. MATERIAL AND

methodsStaff at dental practices in Western Australia were invited to participate in a cross-sectional online questionnaire, consisting of demographic questions, questions on triaging, and knowledge of simulated patient methodology. Descriptive and parametric tests were undertaken for quantitative data; qualitative responses were thematically analyzed.

resultsOf the 100 participants, most were female (71%), aged 25-39 years (57%), dentists (46%), and worked in private practices (60%). While 82% of participants triaged dental appointment enquiries, only 26% had heard of simulated patient studies. The majority (66%) of participants spent 1-5 min when triaging appointments and less than half (29%) asked about medical history, aggravating or alleviating factors. Although there was a general positive attitude toward use of simulated patient methodology to investigate practice, some concerns were identified.

conclusionsThe findings of our exploratory study suggests that there may be a potential for utilizing simulated patient studies to improve the care of patients by dental receptionists in general dental practices.

Indexed as

Dental ClinicsPatient SimulationAdultAppointments and SchedulesAttitude of Health PersonnelCross-Sectional StudiesDental StaffFemaleHumansMaleMiddle AgedPilot ProjectsSurveys and QuestionnairesTriageWestern Australiadental practicesdental staffsimulated patient methodologyWestern Australia

Identifiers

PMID38970251
PMCPMC11226537

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LicenceCC BY
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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.