Evidence map›Paper›PMID 30637035›Full record

ArticlePharmacy practice

Development and validation of a scale to measure the quality of patient medication counseling using Rasch model.

Van D Tran, Valeria V Dorofeeva, Ekaterina E Loskutova

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 8 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

3 authors at 1 institution in 1 country.

Van D TranDepartment of Pharmaceutical Management and Economics, Peoples' Friendship University of Russia (RUDN University). Moscow (Russia). vandepro@gmail.com.ORCID 0000-0003-0421-5079
Valeria V DorofeevaDepartment of Pharmaceutical Management and Economics, Peoples' Friendship University of Russia (RUDN University). Moscow (Russia). wwd.pro@gmail.com.ORCID 0000-0001-5323-6517
Ekaterina E LoskutovaDepartment of Pharmaceutical Management and Economics, Peoples' Friendship University of Russia (RUDN University). Moscow (Russia). ekaterinaloskuttova@gmail.com.ORCID 0000-0002-1514-0941
Peoples' Friendship University of Russia · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study is to develop and validate the psychometric properties of a scale for measuring the quality of patient medication counseling by using the Rasch model.

methodsIn this study, the scale was developed based on the literature review. It consisted of 31 items across five subscales: introduction, problem identification, content, behavior, and conclusion. A convenient sample of community pharmacists was recruited from four major cities in Vietnam: Hanoi, Da Nang, Ho Chi Minh, and Can Tho. Data collection was conducted from June 10 to October 30, 2017. A Rasch analysis for polytomous data was performed to assess the suitability of the item and the reliability of the scale.

resultsThe research results showed that all items had a positive point-measure correlation coefficient between 0.47 and 0.77. All items had infit and outfit values in the optimal range between 0.5 and 1.5 except for D

conclusionsThe developed scale satisfied the requirements of the Rasch model. The scale is a useful tool that could be used to measure the quality of patient medication counseling among community pharmacists.

Indexed as

Community Pharmacy ServicesCounselingPsychometricsReproducibility of ResultsSurveys and QuestionnairesValidation Studies as TopicVietnam

Identifiers

PMID30637035
PMCPMC6322991
OpenAlexW2903975997

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.