Evidence map›Paper›PMID 32523381›Full record

ArticleDrug, healthcare and patient safety2020

Development and Psychometric Validation of a Questionnaire to Evaluate Knowledge and Attitude Towards Medication Error Reporting Among Pharmacists.

Ruzmayuddin Mamat, Siti Asarida Awang, Ab Fatah Ab Rahman

Open access · goldAbstract read
In one paragraph

Article in Drug, healthcare and patient safety, 2020. 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
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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.

Ruzmayuddin MamatDepartment of Pharmacy, Klinik Kesihatan Bandar Kuantan, Kuantan, Pahang, Malaysia.
Siti Asarida AwangDepartment of Pharmacy, Pejabat Kesihatan Daerah Kuantan, Kuantan, Pahang, Malaysia.
Ab Fatah Ab RahmanFaculty of Pharmacy, Universiti Sultan Zainal Abidin, Besut, Terengganu 22200, Malaysia.ORCID 0000-0002-2491-1875
Sultan Zainal Abidin University · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAssessment of medication errors (ME) is crucial to improving the quality of health care. A questionnaire that can be used to explore pharmacists' perspectives regarding ME would be very useful as part of an ongoing process of quality improvement in patient care. The aim of this study was to develop and validate a questionnaire to measure perceived causes of ME and attitude towards ME reporting among pharmacists.

methodsThe questionnaire was developed from the literature together with outcomes from focus group discussions. It was divided into two domains which are knowledge on ME and attitude towards ME reporting. Content validity index (I-CVI), exploratory factor analysis (EFA), Cronbach alpha and intraclass correlation coefficient (ICC) to assess test-retest reliability were obtained during the validation process.

resultsOverall Cronbach alpha for internal consistency was good (0.742), where subscale of the questionnaire demonstrated adequate internal consistency, with Cronbach alpha value 0.83 for knowledge and 0.70 for reporting behaviour attitude. The I-CVI showed good scores (knowledge=0.88) and (attitude=0.81), while ICC was moderately accepted with a value of 0.77. Two factors were extracted from the 16 items in EFA.

conclusionThe questionnaire to assess knowledge on ME and attitude towards ME reporting among pharmacists is valid and reliable. It demonstrates good psychometric properties.

Indexed as

attitudehospitalmedication errorpharmacistpsychometric validation

Identifiers

PMID32523381
PMCPMC7234971
OpenAlexW3024285511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.