Evidence map›Paper›PMID 37858279›Full record

ArticleJournal of pharmaceutical policy and practice2023

Development and validation of patient diabetes knowledge questionnaire (PDKQ).

Phei Ching Lim, Retha Rajah, Yen Li Lim, Jason Lye Hin Kam, Te Ying Wong, Vivegananth Krishnanmurthi, Chee Tao Chang, Mun Teng Cheah, Nur Dayana Kamaruzzaman, Wee Toong Tan and 2 more

Abstract read
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Article in Journal of pharmaceutical policy and practice, 2023. 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
–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

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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

3 citing papers in PubMed.

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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

12 authors.

Phei Ching LimPharmacy Department, Hospital Pulau Pinang, George Town, Penang, Malaysia.
Retha RajahPharmacy Department, Hospital Seberang Jaya, Perai, Penang, Malaysia.
Yen Li LimClinical Research Centre, Hospital Pulau Pinang, George Town, Penang, Malaysia.
Jason Lye Hin KamPharmacy Department, Hospital Pulau Pinang, George Town, Penang, Malaysia.
Te Ying WongPharmacy Department, Hospital Pulau Pinang, George Town, Penang, Malaysia.
Vivegananth KrishnanmurthiPharmacy Department, Hospital Pulau Pinang, George Town, Penang, Malaysia.
Chee Tao ChangClinical Research Centre, Hospital Raja Permaisuri Bainun, Ministry of Health Malaysia, Ipoh, Perak, Malaysia. davidcct.crc@gmail.com.ORCID http://orcid.org/0000-0002-9263-446X
Mun Teng CheahPharmacy Department, Hospital Pulau Pinang, George Town, Penang, Malaysia.
Nur Dayana KamaruzzamanPharmacy Department, Hospital Pulau Pinang, George Town, Penang, Malaysia.
Wee Toong TanPharmacy Department, Hospital Pulau Pinang, George Town, Penang, Malaysia.
Eng Seng LeePharmacy Department, Hospital Pulau Pinang, George Town, Penang, Malaysia.
Hadzliana ZainalSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Penang, Malaysia. hadz@usm.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvaluation of diabetes knowledge plays a pivotal role in identifying and addressing patients' knowledge gaps. The implementation of a standardized diabetes knowledge assessment tool is important to ensure consistent scoring and facilitating the development of effective and standardized education programs.

aimTo develop and validate a patient diabetes knowledge questionnaire (PDKQ) to assess knowledge of diabetes mellitus patients.

methodsThe development of the PDKQ questionnaire involved three phases: item development, content validation, and reliability testing. In the item development phase, the initial draft of the PDKQ, comprising a multiple-choice answer questionnaire was developed. The content validation phase comprised two stages. Firstly, ten experts participated in the expert validation process, followed by face validation involving six patients. In the final phase, test-retest analysis was performed among diabetes mellitus patients to assess reliability.

resultsThe first draft of PDKQ consisted of 11 patient characteristics items and 37 items of multiple choices questions. During the expert validation, three items were eliminated due to low clarity, and an additional six items were removed as they were deemed irrelevant or unimportant. During the face validation, three patients' characteristic items and eight multiple-choice questions were excluded due to a content validity index of less than 0.83. In the test-retest phase, 36 subjects responded to 8 items pertaining to patients' characteristics and 20 multiple-choice questions. The test-retest analysis yielded an intraclass correlation coefficient of 0.88, indicating good reliability.

conclusionThe 20-item PDKQ is a reliable and robust tool in assessing the knowledge of diabetes mellitus patients in Malaysia. Its implementation allows standardized assessment of diabetic patients' knowledge levels, enabling targeted interventions to empower patients and optimize diabetes care practices.

Indexed as

DevelopmentDiabetes mellitusPatient knowledgeQuestionnaireValidation

Identifiers

PMID37858279
PMCPMC10588117

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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.