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Endoscopic Versus Open Microdiscectomy for Lumbar Disc Herniation: A Cost-Utility Analysis Using a Lifetime Markov Model

Published online by Cambridge University Press:  15 October 2026

Jasleen Saini*
Affiliation:
Division of Neurosurgery, Department of Surgery, University of Toronto, Canada Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Canada Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
Paul Tieu
Affiliation:
Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
Christopher Lozano
Affiliation:
Division of Neurosurgery, Department of Surgery, University of Toronto, Canada Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Canada Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
Vishwathsen Karthikeyan
Affiliation:
Division of Neurosurgery, Department of Surgery, University of Toronto, Canada Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Canada Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
Husain Shakil
Affiliation:
Division of Neurosurgery, Department of Surgery, University of Toronto, Canada Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Canada Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
Armaan K. Malhotra
Affiliation:
Division of Neurosurgery, Department of Surgery, University of Toronto, Canada Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Canada Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
Yingshi He
Affiliation:
Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Canada
Saira B. Alli
Affiliation:
Division of Neurosurgery, Department of Surgery, University of Toronto, Canada Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Canada Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
Douglas Lee
Affiliation:
Department of Medicine, Toronto General Hospital, University Health Network, Canada
Jefferson R. Wilson
Affiliation:
Division of Neurosurgery, Department of Surgery, University of Toronto, Canada Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Canada Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
Christopher W. Noel
Affiliation:
Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada Division of Otolaryngology - Head and Neck Surgery, Department of Surgery, Toronto General Hospital, University Health Network, Canada
Christopher D. Witiw
Affiliation:
Division of Neurosurgery, Department of Surgery, University of Toronto, Canada Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Canada Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada
*
Corresponding author: Jasleen Saini; Email: jas.saini@mail.utoronto.ca
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Abstract

Objective:

To evaluate the lifetime cost-utility of endoscopic microdiscectomy (EM) compared with open microdiscectomy (OM) for the surgical treatment of symptomatic lumbar disc herniation (LDH) from a Canadian healthcare payer perspective.

Methods:

A three-state Markov state-transition model (responder, non-responder, death) with annual cycles simulated a hypothetical cohort of adults undergoing EM or OM over a lifetime horizon. Costs and quality-adjusted life years (QALYs) were discounted at 1.5% annually. Transition probabilities, utilities and costs were derived from randomized controlled trials, systematic reviews and published economic data. Cost-effectiveness was assessed using incremental cost-effectiveness ratios (ICERs) and net monetary benefit (NMB) at a willingness-to-pay threshold of $50,000 per QALY. Deterministic and probabilistic sensitivity analyses, including 1,000 Monte Carlo simulations, were performed to evaluate parameter uncertainty and model robustness.

Results:

In the base-case analysis, lifetime costs were $11,144 for OM and $11,162 for EM, with discounted QALYs of 24.55 and 24.59, respectively. EM yielded an incremental gain of 0.042 QALYs at an additional cost of $18, corresponding to an ICER of $434 per QALY. At a willingness-to-pay threshold of $50,000 per QALY, EM demonstrated a modestly higher NMB. Probabilistic sensitivity analysis showed substantial overlap between strategies, with EM favored in 55.2% of simulations.

Conclusions:

EM and OM provide comparable lifetime health outcomes and economic value. Although EM showed a small base-case advantage, this difference was not robust to uncertainty. These findings should be interpreted in the context of local implementation factors, including endoscopic equipment costs and health system structure, which may influence real-world adoption.

Résumé

RÉSUMÉ

Microdiscectomie endoscopique ou ouverte dans le traitement de la hernie discale lombaire? Analyse coût-utilité à l’aide d’un modèle de Markov à vie

Objectif :

L’étude visait à évaluer le rapport coût-utilité à vie de la microdiscectomie endoscopique (ME) par rapport à celui de la microdiscectomie ouverte (MO) dans le traitement chirurgical de la hernie discale lombaire symptomatique, et ce, du point de vue d’un payeur de soins de santé au Canada.

Méthode :

L’étude consistait en la simulation d’une cohorte hypothétique d’adultes ayant subi une ME ou une MO sur un horizon temporel à vie, avec cycles annuels, selon un modèle de transition de Markov à 3 états (réaction, résistance, mort). Les coûts et les années de vie pondérées par la qualité (AVPQ) ont été actualisés à un taux annuel de 1,5 %. Les probabilités de transition, les scores d’utilité et les coûts provenaient d’essais comparatifs, à répartition aléatoire; de revues systématiques et de données économiques publiées. La valeur du coût-efficacité a été calculée à l’aide de rapports coût-efficacité différentiels (RCED) et de bénéfices pécuniaires nets (BPN), en fonction d’un seuil de propension à payer 50 000 $ par AVPQ. Des analyses de sensibilité déterministes et probabilistes, dont 1000 simulations de Monte Carlo, ont été réalisées afin que soient évalués le degré d’incertitude des paramètres et la robustesse du modèle.

Résultats :

Dans l’analyse du scénario de base, les coûts à vie s’élevaient à 11 144 $ pour la MO et à 11 162 $ pour la ME, et les AVPQ actualisées étaient de 24,55 et de 24,59, respectivement. La ME offrait un gain différentiel de 0,042 AVPQ, à un coût additionnel de 18 $, ce qui correspond à un RCED de 434 $ par AVPQ. À un seuil de propension à payer 50 000 $ par AVPQ, le BPN de la ME s’est montré légèrement supérieur à celui de l’autre intervention. L’analyse probabiliste de sensibilité a fait ressortir un recoupement important entre les deux types de traitement, mais elle penchait légèrement en faveur de la ME dans 55,2 % des simulations.

Conclusion :

La ME et la MO donnent des résultats cliniques à vie comparables et ont une valeur économique de même ordre. Bien que la ME démontre un faible avantage dans le scénario de base, l’écart n’était pas robuste et allait même jusqu’à l’incertitude. Ces résultats doivent être interprétés dans le contexte de facteurs locaux de mise en œuvre, dont le coût du matériel endoscopique et la structure du système de santé, qui peuvent influer sur l’adoption du traitement dans le monde réel.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation
Figure 0

Table 1. Study design elements for the cost-utility analysis comparing endoscopic versus open microdiscectomyTable 1 long description.

Figure 1

Figure 1. Markov model structure. (A) Overview of the decision analytic Markov model used to compare endoscopic and open microdiscectomy for lumbar disc herniation. Patients enter the model after surgery and transition among three health states (responder, non-responder and death) at each cycle. Immediate postoperative events, including perioperative complications, are incorporated at model entry. (B) Conceptual representation of the clinical pathways underlying transitions between responder and non-responder states. Late recovery, recurrent symptoms, persistent pain and revision surgery are incorporated indirectly through changes in postoperative response status rather than as independent health states. This framework captures both short-term postoperative outcomes and long-term symptom trajectories over the lifetime horizon. LDH = lumbar disc herniation.

Figure 2

Table 2. Model input parameters used in the base-case and sensitivity analysesTable 2 long description.

Figure 3

Table 3. Capital cost scenario parametersTable 3 long description.

Figure 4

Table 4. Results of the base-case cost-effectiveness analysisTable 4 long description.

Figure 5

Table 5. Scenario analysis incorporating endoscopic capital costsTable 5 long description.

Figure 6

Figure 2. Markov state–occupancy over time for endoscopic and open microdiscectomy. Proportion of the cohort residing in each health state (responder, non-responder, death) over a 60-year horizon for endoscopic (left) and open (right) microdiscectomy. Both strategies show a high initial proportion of Responders, with a small proportion entering the non-responder state and a gradual increase in mortality over time due to background age-related mortality. The trajectories for both procedures are similar, with endoscopic microdiscectomy demonstrating a slightly lower long-term prevalence of non-responders and a correspondingly higher proportion of time spent in the responder state.

Figure 7

Figure 3. Figure 3 long description.One-way sensitivity analysis on incremental NMB comparing endoscopic versus open microdiscectomy. Tornado diagram displaying the impact of varying individual model parameters across prespecified low–high ranges on the incremental NMB (Endoscopic – Open) at a willingness-to-pay threshold of $50,000/QALY. Transition probabilities between responder and non-responder states (R→N and N→R) exerted the greatest influence on cost-effectiveness, followed by index procedure costs for both strategies. Utilities, complication rates, discount rates and annual non-responder costs had comparatively smaller effects. Positive values favor endoscopic microdiscectomy, while negative values favor open microdiscectomy.

Figure 8

Figure 4. Figure 4 long description.Two-way sensitivity analyses (TWSA) evaluating joint uncertainty in key model parameters. (A) TWSA comparing failure rates between strategies (annual probability R→N for open vs endoscopic microdiscectomy). The diagonal frontier line shows the parameter space where both strategies yield equal NMB. (B) TWSA varying the annual probability of losing response for endoscopic microdiscectomy (R→N (Endo)) and the endoscopic index procedure cost. The frontier delineates conditions under which endoscopic microdiscectomy remains cost-effective relative to open microdiscectomy.

Figure 9

Figure 5. Probabilistic sensitivity analysis (PSA) results. (A) Incremental net monetary benefit (NMB) of endoscopic versus open microdiscectomy across a range of willingness-to-pay (WTP) thresholds ($0–$150,000/QALY). The vertical line indicates the base-case WTP of $50,000/QALY. Incremental NMB increases with higher WTP thresholds and is positive at the base-case threshold, indicating that additional QALYs gained offset the small incremental cost on average. (B) Cost-effectiveness plane displaying 1,000 Monte Carlo simulations comparing endoscopic and open microdiscectomy. Each point represents a paired cost and effectiveness outcome, with ellipses denoting 95% uncertainty regions. Endoscopic microdiscectomy clusters slightly to the right (higher QALYs) with similar or marginally higher costs, illustrating uncertainty around the base-case estimates. QALY = quality-adjusted life years; NMB = net monetary benefit.

Figure 10

Figure 6. Figure 6 long description.Cost-effectiveness frontier and acceptability curve. (A) Cost-effectiveness (CE) frontier illustrating the relationship between total discounted lifetime costs and QALYs for open versus endoscopic microdiscectomy. The frontier connects the non-dominated strategies, showing that endoscopic microdiscectomy lies on the efficient frontier due to its slightly higher effectiveness at a marginally higher cost. (B) Cost-effectiveness acceptability curve (CEAC) comparing the probability that each strategy is cost-effective across a range of willingness-to-pay (WTP) thresholds ($0–$100,000/QALY). At the base-case WTP of $50,000/QALY (vertical dashed line), endoscopic microdiscectomy has a higher probability of being cost-effective, with this probability increasing at higher WTP thresholds. QALY = quality-adjusted life years.

Figure 11

Figure 7. Incremental cost-effectiveness plane for endoscopic versus open microdiscectomy. Incremental costs and QALYs from 1,000 Monte Carlo simulations are shown, with points colored by the preferred strategy at a willingness-to-pay (WTP) threshold of $50,000 per QALY. The 95% uncertainty ellipse and WTP reference lines ($50,000, $100,000 and $150,000 per QALY) are displayed. Simulations cluster near the origin with points distributed across both positive and negative incremental cost and effectiveness regions, indicating small incremental differences between strategies and substantial overlap under parameter uncertainty. At a WTP of $50,000 per QALY, endoscopic microdiscectomy is cost-effective in a modest majority of simulations. OM = open microdiscectomy; EM = endoscopic microdiscectomy; WTP = willingness-to-pay; QALY = quality-adjusted life years.

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