Medication Adherence After Surgery: Systematic Review with ☸️SAIMSARA.



DOI: 10.62487/saimsara08385f4

Author: saimsara.com


Review Stats
Identification of studies via EPMC (titles/abstracts) Identification Screening Included Records identified:n=1440Records excluded:n=0 Records assessed for eligibilityn=1440Records excluded:n=907 Studies included in reviewn=533 PRISMA Diagram generated by ☸️ SAIMSARA
⛛OSMA Triangle Effect-of Predictor → Outcome after surgery  →  medication adherence Beneficial for patients ΣN=147025 (13%) Harmful for patients ΣN=90329 (8%) Neutral ΣN=898443 (79%) 0 ⛛OSMA Triangle generated by ☸️SAIMSARA
Outcome-Sentiment Meta-Analysis (OSMA): (LLM-only)
Frame: Effect-of Predictor → Outcome • Source: Europe PMC
Outcome: medication adherence Typical timepoints: peri/post-op, 1-y. Reported metrics: %, CI, p.
Common endpoints: Common endpoints: complications, recurrence, admission.
Predictor: after surgery — exposure/predictor. Typical comparator: late postoperative resumption, medical management, limb occlusion pressure on, in-person monitoring in….




1) Introduction
Medication adherence is a critical determinant of patient outcomes across various medical conditions, and its importance is amplified in the perioperative and postoperative phases of surgical care. Following surgery, patients are often prescribed complex regimens of medications, including analgesics, antibiotics, anticoagulants, immunosuppressants, and chronic disease management therapies. Non-adherence to these regimens can lead to a spectrum of adverse events, ranging from increased pain and infection to graft rejection, disease recurrence, and higher rates of morbidity and mortality. Understanding the factors influencing medication adherence after surgery, identifying populations at risk for non-adherence, and developing effective interventions are paramount to optimizing patient recovery and long-term health. This paper synthesizes current research on medication adherence in the post-surgical context, drawing insights from a diverse body of literature to highlight key findings, clinical implications, and future research directions.

2) Aim
This systematic review aims to comprehensively synthesize the current evidence on medication adherence after surgery, identify common adherence rates, explore the various factors influencing adherence, and outline the clinical and research implications of these findings.

3) Methods
Systematic review with multilayer AI research agent: keyword normalization, retrieval & structuring, and paper synthesis (see SAIMSARA About section for details).


4) Results
4.1 Study characteristics
The included studies employed a diverse range of designs, predominantly cross-sectional and cohort studies (both retrospective and prospective), alongside several randomized controlled trials, mixed-methods, and case series. Populations varied widely, encompassing patients undergoing cardiac (e.g., CABG, valve replacement), organ transplant (heart, kidney, liver), bariatric, ophthalmic, orthopedic, vascular, and various oncological surgeries. Follow-up periods ranged from immediate postoperative assessment to several months and up to 5 years, with many cross-sectional studies providing no specific follow-up duration.

4.2 Main numerical result aligned to the query
Medication adherence after surgery varied widely across different surgical populations and medication types, with a median adherence rate of 72.92% (range 11% [75] to 95.2% [171]). Some studies reported high adherence, such as 92.9% for study medications after noncardiac surgery [14] and 95.2% for topical dexamethasone after corneal transplantation [171]. Conversely, very low adherence rates were observed, including 11% for polymedicated patients in vascular surgery [75] and 15% for antihypertensive treatment after general surgery [499].

4.3 Topic synthesis


5) Discussion
5.1 Principal finding
Medication adherence after surgery varied widely across different surgical populations and medication types, with a median adherence rate of 72.92% (range 11% [75] to 95.2% [171]). This broad range highlights significant disparities in patients' ability or willingness to follow prescribed regimens post-surgically, impacting recovery and long-term health.

5.2 Clinical implications


5.3 Research implications / key gaps


5.4 Limitations


5.5 Future directions


6) Conclusion
Medication adherence after surgery varied widely across different surgical populations and medication types, with a median adherence rate of 72.92% (range 11% [75] to 95.2% [171]). This variability underscores the complexity of medication management in the postoperative period, affecting patients across diverse surgical settings. The heterogeneous study designs and varied definitions of adherence across the literature represent the single most significant limitation to synthesizing a comprehensive understanding. To advance patient care, future research should focus on conducting longitudinal outcome studies that track adherence trajectories and their direct impact on patient-centered clinical outcomes.

References
SAIMSARA Session Index — session.json

Figure 1. Publication-year distribution of included originals
Figure 1. Publication-year distribution of included originals

Figure 2. Study-design distribution of included originals
Figure 2. Study-design distribution

Figure 3. Study-type (directionality) distribution of included originals
Figure 3. Directionality distribution

Figure 4. Main extracted research topics
Figure 4. Main extracted research topics (Results)

Figure 5. Limitations of current studies (topics)
Figure 5. Limitations of current studies (topics)

Figure 6. Future research directions (topics)
Figure 6. Future research directions (topics)