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Record W7024476117

Role of Community Pharmacist in Asthma Management: Knowledge, Attitudes and Practice

2024· article· en· W7024476117 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacyClinical pharmacyCommunity pharmacyAsthmaPharmacistPharmacy practiceCommunity pharmacistPharmaconomistLogistic regression
DOInot available

Abstract

fetched live from OpenAlex

Anan S Jarab,1– 3 Walid Al-Qerem,4 Karem H Alzoubi,5,6 Nadeen Almomani,1 Shrouq Riad Abu Heshmeh,1 Tareq L Mukattash,1 Yazid N Al Hamarneh,7 Enaam M Al Momany8 1Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan; 2College of Pharmacy, Al Ain University, Abu Dhabi, United Arab Emirates; 3AAU Health and Biomedical Research Center, Al Ain University, Abu Dhabi, United Arab Emirates; 4Department of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan; 5Department of Pharmacy Practice and Pharmacotherapeutics, University of Sharjah, Sharjah, United Arab Emirates; 6Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan; 7Department of Pharmacology, University of Alberta, Edmonton, AB, Canada; 8Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa, JordanCorrespondence: Enaam M Al Momany, Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa, Jordan, Email enaam@hu.edu.joPurpose: To investigate knowledge, attitude, and practice of asthma management counseling and the perceived barriers by community pharmacists.Methods: This cross-sectional study was conducted on 416 community pharmacists using an online-based questionnaire. The questionnaire included five parts that assessed socio-demographics and medical references used to seek drug-related information, pharmacists’ knowledge (7 items), attitudes (5 items), practice (22 items) and the barriers for the provision of asthma management counseling (10 items). Binary logistic regression was conducted to find the variables that were significantly and independently associated with knowledge, attitude and asthma management counseling practice.Results: Increased years of experience was associated with decreased knowledge (OR = 0.918, 95% Cl (0.869:0.970), P = 0.002) and less positive attitude toward asthma management (OR = 0.876, 95% Cl. (0.821:0.935), P < 0.001), while working in independent community pharmacy (OR = 2.097, 95% Cl. (1.273:3.454), P = 0.004) and increased awareness of asthma management guidelines (OR = 1.60, 95% CI. (1.044:2.453), P = 0.031) increased the odds of being in the high knowledge group. In contrast, increasing the daily number of pharmacy visitors OR = 1.009, 95% Cl. (1.001:1.016), P = 0.024) and having a pharmacy degree (OR = 2.330, 95% Cl. (1.256:4.326), P = 0.007) increased the odds of having a positive attitude. Male pharmacists (OR = 0.553, 95% Cl. (0.350:0.873), P = 0.011) and having bachelor in pharmacy (OR = 0.354, 95% Cl. (0.179:0.700), P = 0.003) decreased the odds of being in the high practice group. On the other hand, increased awareness of asthma management guidelines tripled the odds of being in the high practice group (OR = 3.067, 95% Cl. (1.964:4.787), P < 0.001).Conclusion: The current study findings offer valuable insights into the gaps in knowledge, attitude, and practice of asthma management counseling among community pharmacists, as well as the barriers and factors that impede the provision of these services. These insights serve as a guide for developing future strategies aimed at enhancing the role of pharmacists in asthma care.Keywords: pharmacist, asthma, knowledge, attitude, counseling, practice

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.479
GPT teacher head0.657
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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