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March 14, 20260 citationsOpen Access

A Randomised Field Trial Methodology for Risk Reduction in Nigerian Transport Depot Maintenance Systems

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ISIbrahim SaniAAAdebayo AdewaleCOChinwe Okonkwo

Key Points

  • The central aim is to establish a methodological framework for conducting randomised field trials to assess engineering interventions in transport depot maintenance systems.
  • Developed a cluster-randomised, stepped-wedge design for trial implementation.
  • Randomised transport depots to receive preventive maintenance interventions at different stages.
  • Utilized a generalised linear mixed model to estimate causal impacts on failure rates.
  • Emphasized the role of lead engineers as co-researchers to ensure adherence to intervention procedures.
  • Simulation studies suggest the methodology can detect at least a 30% reduction in critical failure rates with 80% power.
  • Highlighted the importance of structured interventions to enhance operational safety.
  • Indicated potential for improved accountability in maintenance practices through systematic evaluations.

Abstract

"background": "Maintenance systems in transport depots are critical for operational safety and efficiency, yet they are often managed using ad-hoc, reactive approaches. In Nigeria, the lack of structured, evidence-based methodologies for evaluating and improving these systems contributes to persistent operational risks and infrastructure failures. ", "purpose and objectives": "This article presents a novel methodological framework for conducting randomised field trials (RFTs) specifically designed to evaluate engineering interventions within transport depot maintenance systems. The primary objective is to provide a rigorous protocol for measuring causal impacts on risk reduction metrics. ", "methodology": "The proposed RFT methodology employs a cluster-randomised, stepped-wedge design where depots are randomised to receive a systematised preventive maintenance intervention at different sequential steps. The core impact is estimated using a generalised linear mixed model: \ (P (Y{it=1) ) = \0 + \ Tit + \ + ui +, where Yit is a binary failure event for depot i at time t, Tit is the treatment indicator, \ are time-fixed effects, and ui are depot random effects. Inference is based on cluster-robust standard errors. ", "findings": "As a methodology article, it presents no empirical results from a completed trial. However, the framework's simulation studies, based on parameter estimates from pilot data, indicate that the design can detect a minimum 30% reduction in critical failure rates with 80% power. A key thematic finding from the protocol development is the critical importance of embedding lead engineers as co-researchers to ensure intervention fidelity. ", "conclusion": "The developed RFT protocol provides a viable and rigorous experimental framework for generating high-quality evidence on engineering interventions in complex, real-world depot environments. It addresses specific challenges such as contamination between units and sequential rollout constraints. ", "recommendations": "Researchers and depot engineers should adopt this structured RFT approach to move

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Cite This Study

Sani et al. (2017) studied this question.

synapsesocial.com/papers/69b4fc33b39f7826a300cdd5https://doi.org/10.5281/zenodo.18974084
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Randomised Field Trial Methodology for Evaluating Maintenance Depot Risk Reduction in Ghana2010
  2. 2A Randomised Field Trial Methodology for Evaluating Maintenance Depot Risk Reduction in Ghana2010
  3. 3Randomised Field Trial for the Risk Reduction and Reliability Optimisation of Transport Maintenance Depots in Senegal2012
  4. 4Replication of a Randomised Field Trial for Maintenance Depot Risk Reduction: A Methodological Evaluation in Kenya2026
  5. 5Replication of a Randomised Field Trial for Maintenance Depot Risk Reduction: A Methodological Evaluation in Kenya2026