Developing a Pharmacist-Centered Novel Antimicrobial Stewardship (AMS) Approach for Healthcare in Pakistan: A Grounded Theory Study
Bibliographic record
Abstract
BACKGROUND: Antimicrobial resistance (AMR) is one of the most significant global health threats of the 21st century, endangering healthcare systems worldwide as a silent pandemic. Despite the globally recognized role of pharmacists as antimicrobial stewards, their involvement remains limited in antimicrobial stewardship (AMS) endeavors in Pakistan. METHODS: By utilizing the Straussian grounded theory methodology, this study aimed to develop a pharmacist-centered novel AMS approach for healthcare in Pakistan in order to enhance the engagement of pharmacists in AMS and reduce the burden of AMR in Pakistan. Through 13 semi-structured in-depth interviews with pharmacists and AMS experts, this study explored the facilitators and obstacles faced by pharmacists in Pakistan pertaining to their participation in AMS. RESULTS: The findings highlighted the underutilization of pharmacists in AMS owing to persistent policy, institutional, and resource-level barriers. Several facilitators were also identified, including institutional ownership and pharmacist-prescriber-patient (3P) communication. The evidence generated informed the development of the pharmacist-centered novel AMS approach, which recommends extending AMS policy support to pharmacists, improving One Health interdisciplinary collaborations, promoting pharmacist-led behavior change campaigns, granting prescribing rights to pharmacists for minor ailments, and advancing AMS trainings and education. CONCLUSIONS: Formally integrating pharmacists into AMS efforts is the need of the hour to contain the consequences of AMR in Pakistan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".