DESCRIPTIVE STUDY OF ELECTIVE SURGICAL CASE CANCELLATION RATES AND ASSOCIATED PATIENT-LEVEL FACTORS

Main Article Content

Dr. Viral Sshaill Shah
Dr. Arunkumar R Varun

Keywords

Elective surgical cancellation; operating theatre efficiency; preoperative assessment; ASA physical status; MMIMSR Mullana; Haryana; perioperative care; descriptive study

Abstract

Background

Elective surgical case cancellation is a significant operational and clinical problem confronting tertiary-care teaching hospitals across India. Cancellations disrupt operating theatre scheduling, impair hospital resource utilisation, cause patient distress, and generate avoidable healthcare costs. Maharishi Markandeshwar Institute of Medical Sciences and Research (MMIMSR), Mullana, Ambala, is a major teaching hospital serving a predominantly agrarian population from Ambala, Kurukshetra, Panchkula, and adjacent districts of Haryana. Despite the clinical and administrative significance of cancellation rates, no institution-specific data existed at MMIMSR prior to this study. This descriptive study was conducted to quantify the burden, characterise the causes, and identify patient-level risk factors for elective surgical case cancellation at MMIMSR.


Objectives

To determine the overall elective surgical cancellation rate at MMIMSR, Mullana, over a defined six-month study period; to describe the spectrum and frequency of causes; and to identify patient-level demographic and clinical factors independently associated with cancellation.


Methodology

A hospital-based descriptive study with retrospective record review was conducted from March 2019 to August 2019. All elective surgical cases scheduled in the main operating theatre complex at MMIMSR (N=1,248) were included. Cancellation was defined as failure to perform a scheduled elective surgical procedure on the planned date. Data were extracted from anaesthesia records, surgical schedules, and patient case files using a validated proforma. Descriptive statistics, chi-square tests, and binary logistic regression were performed using SPSS v21.0 and Microsoft Excel 2016.


Results
Of 1,248 scheduled elective cases, 214 were cancelled (overall cancellation rate 17.1%; 95% CI: 15.0–19.3%). Patient-related causes accounted for 72.9% (n=156) of cancellations, led by inadequate preoperative workup (24.3%) and patient non-reporting (19.6%). System-related causes contributed 27.1% (n=58). The cancellation rate was highest in July (21.1%) and lowest in April (14.1%). On multivariate logistic regression, independent predictors of cancellation were ASA grade III–IV (adjusted OR 4.68; p < 0.001), inadequate preoperative workup (adjusted OR 38.40; p < 0.001), chronic kidney disease (adjusted OR 3.12; p < 0.001), ischaemic heart disease (adjusted OR 2.84; p < 0.001), age > 60 years (adjusted OR 1.84; p < 0.001), and anaemia Hb < 10 g/dL (adjusted OR 2.68; p < 0.001).


Conclusion


The elective surgical cancellation rate of 17.1% at MMIMSR substantially exceeds the internationally accepted benchmark of < 5% and reflects both preventable patient-level and system-level deficiencies. A structured preoperative assessment clinic with mandatory anaesthesia review, standardised investigation protocols, and a patient communication system should be established at MMIMSR to reduce avoidable cancellations and optimise theatre utilisation.

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