Evidence map›Paper›PMID 37333684›Full record

ArticleInfection and drug resistance2023

Development and Validation of the Knowledge, Attitude, and Practice Questionnaire for Community Pharmacy Personnel in Tuberculosis Case Detection, Drug Monitoring, and Education: A Study from Indonesia.

Mersa Nurain Kausar, Efi Fitriana, Khairunnisa Khairunnisa, Md Omar Faruque, Muh Akbar Bahar, Sofa D Alfian, Ivan Surya Pradipta

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Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mersa Nurain KausarDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia.
Efi FitrianaDepartment of General Psychology and Experiment, Faculty of Psychology, Universitas Padjadjaran, Bandung, Indonesia.
Khairunnisa KhairunnisaFaculty of Pharmacy, Universitas Sumatera Utara, Medan, Indonesia.ORCID 0000-0003-4991-4877
Md Omar FaruqueDepartment of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, MO, USA.ORCID 0000-0003-3806-6606
Muh Akbar BaharDepartment of Pharmacy, Faculty of Pharmacy, Universitas Hasanuddin, Makassar, Indonesia.ORCID 0000-0002-6582-5615
Sofa D AlfianDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia.ORCID 0000-0001-5419-8938
Ivan Surya PradiptaDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia.ORCID 0000-0002-7151-0783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Validated and standardized structured questionnaires based on psychometric analysis are extremely limited, particularly for assessing community pharmacy personnel's knowledge, attitude, and practice (KAP) in tuberculosis (TB) case detection, drug monitoring, and education. We, therefore, developed and validated a questionnaire to assess the KAP of community pharmacy personnel in TB case detection, drug monitoring, and community education. Methods: This study was conducted in two phases. First, we developed the questionnaire, which included framework development, item generation, individual item content validity index (I-CVI), item screening, and pre-testing. Second, we validated the questionnaire with 400 participants using various analyses, including participant analysis, confirmatory factor analysis (CFA), adjusted goodness-of-fit index (AGFI), comparative fit index (CFI), non-normed fit index (NNFI), root mean square error of approximation (RMSEA), and standardized root mean square residual (SRMR). We determined the reliability test using Cronbach's alpha and test-retest reliability using Pearson's correlation. Results: In the development phase, we defined 63 items that comprised 18 sociodemographic, 18 knowledge, 18 attitude, and 9 practice items. Across the 63 items, the I-CVI scores of sociodemographic and KAP items were one each. The CFA model parameter values were X Conclusion: This study indicates that the developed questionnaire is a valid and reliable instrument for assessing the KAP of community pharmacy personnel for TB case detection, drug monitoring, and community education in Indonesia. Community pharmacy personnel can support TB notification and treatment by assessing their prospective roles in surveys using this questionnaire, enabling TB eradication in 2030.

Indexed as

community pharmacydevelopment and validationknowledge attitude and practicetuberculosis

Identifiers

PMID37333684
PMCPMC10276589

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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.