The Impact of Outpatient Parenteral Antimicrobial Therapy (OPAT) in Al Hada Armed Forces Hospital, Taif, Saudi Arabia
Bibliographic record
Abstract
Background In the realm of healthcare quality, outpatient parenteral antimicrobial therapy (OPAT) has emerged as the gold standard for managing patients who have transitioned from inpatient care but still require extended intravenous antimicrobial treatment. The adoption of OPAT at Al Hada Armed Forces Hospital in Taif, Saudi Arabia, not only bolsters patient satisfaction but also serves as a catalyst for reduced hospitalization durations, lower rates of emergency department readmissions, and an overall reduction in healthcare expenditures. The main objective of this study was to evaluate the effectiveness of OPAT in a tertiary center facility in Saudi Arabia. Methods In this retrospective investigation, we conducted a thorough review of patient records spanning from November 2020 to October 2021. Our study encompassed all patients who had intravenous antibiotics and were participants in the hospital’s OPAT program during this specific timeframe. Our primary goal was to achieve a 20% reduction in the total number of hospital bed days related to long-term antibiotic therapy. Results The incorporation of OPAT has yielded a multifaceted transformation within the hospital. Over the span of one year, from November 2020 to October 2021, there was a notable decrease in the proportion of patients requiring intravenous antibiotics. This percentage initially dropped from 23% to 12% with the implementation of the OPAT quality improvement project, and later, it reached an even lower 8%. This positive transformation not only had a positive impact on patient care but also led to significant cost savings, exceeding 2 million riyals. These savings were primarily driven by the reduction in hospitalization duration and the more efficient allocation of resources. Moreover, this improvement contributed to the avoidance of 673 patient days of hospitalization, thereby creating additional resources for more critical cases. Conclusion OPAT has emerged as a pivotal component of Al Hada Armed Forces Hospital’s commitment to elevating healthcare quality. This abstract offers a concise insight into the quality-driven impact of OPAT within a specific healthcare context, underlining its capacity to optimize patient care, enhance healthcare efficiency, and elevate resource allocation. Ongoing research and continuous evaluation will play a critical role in refining and expanding the OPAT program while preserving its quality-oriented perspective.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".