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    <responseDate>2026-10-14T03:53:32Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/byygx5jcs7.1</identifier>
                <datestamp>2026-08-26T12:59:31Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>LIM, ZHI LI</dc:creator>
    <dc:title>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</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>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.

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 &lt;1.5%.

Data Collection 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&lt;0.05). Effect size (Cohen&apos;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&apos;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.</dc:description>
    <dc:subject>Surgery</dc:subject>
    <dc:subject>Nursing</dc:subject>
    <dc:subject>Orthopedics</dc:subject>
    <dc:subject>Clinical Nursing</dc:subject>
    <dc:subject>Patient Satisfaction</dc:subject>
    <dc:subject>Quality Improvement</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/byygx5jcs7.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/byygx5jcs7.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/byygx5jcs7</dc:relation>
    <dc:date>2026-08-26T12:59:31Z</dc:date>
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