Data · dataset · 2026
Reducing Length of Stay Through an Enhanced Recovery After Surgery (ERAS) Pathway for ACL Reconstruction with Meniscus Repair: A Quality Improvement Project in a Malaysian Orthopaedic Hospital
Listed in Teesside University Research Data Repository
Description This dataset contains complete research data from a quality improvement project evaluating an Enhanced Recovery After Surgery (ERAS) pathway for patients undergoing anterior cruciate ligament (ACL) reconstruction with or without meniscus repair at a private orthopaedic hospital in Kuala Lumpur, Malaysia.
Description
Research Hypothesis The project hypothesised that implementation of a standardised ERAS pathway would significantly reduce hospital length of stay (LOS) from baseline (2.58 days) to ≤2.0 days within six months, achieve ≥95% multidisciplinary compliance, achieve ≥90% patient satisfaction, and maintain surgical site infection rates <1.5%.
Data Collection
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Methods
A pre-post intervention design was employed. Baseline data (n=36) were collected retrospectively from January to June 2025, and post-implementation data (n=55) were collected prospectively from July to December 2025 following ERAS implementation. Data sources included electronic medical records, patient satisfaction surveys (6-item, 5-point Likert scale), ERAS compliance checklists (30 items), and physiotherapy logs.
LOS was defined as the number of nights from surgery to discharge. Variables Patient ID: Anonymous identifier Group: Pre-ERAS or Post-ERAS Age: Years (continuous) Sex: Male/Female (categorical) Surgery Type: ACLR only or ACLR + Meniscus Repair (categorical) LOS: Days (continuous) Month: Month of surgery (categorical) Patient Satisfaction: Scores across 6 domains (0–100%) ERAS Compliance: Percentage of checklist items completed Statistical
Methods
Data were analysed using Microsoft Excel. Descriptive statistics (means, medians, SDs, 95% CIs) were calculated. Mean LOS was compared using an independent t-test (p<0.05).
Effect size (Cohen's d) was calculated. Run charts with standard rules (shift: ≥6 points above/below median; trend: ≥5 consecutive points increasing/decreasing) were generated. Key Findings Mean LOS decreased significantly from 2.58 days (SD 0.91; 95% CI: 2.27 to 2.89) pre-ERAS to 1.95 days (SD 0.56; 95% CI: 1.79 to 2.11) post-ERAS (mean difference: 0.64 days, 24.8%; t = 3.78, df = 52, p = 0.0004; Cohen's d = 0.82).
Median LOS decreased from 2.5 to 2.0 days. Multidisciplinary compliance averaged 97.51%, exceeding the 95% target. Patient satisfaction averaged 95.98% across six domains.
No surgical site infections were reported (0%). Interpretation The reduction in LOS is attributable to structured pre-operative education, standardised multimodal analgesia, early mobilisation, clear discharge criteria, multidisciplinary communication, and a dedicated Joint Navigator. The large effect size (d=0.82) and sustained shift on the run chart confirm clinically meaningful and durable improvement.
How to Use This Data This dataset enables independent reproduction of statistical analyses, comparative meta-analyses, and benchmarking for institutions implementing similar ERAS pathways.
Links
Where it is published
- DOI doi.org/10.17632/byygx5jcs7.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Nursing · Social Science · Surgery
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/byygx5jcs7.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:320226 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Surgery'] |
| concepts[field].anzsrc:group:4205 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Nursing'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |