Meeting global health challenges through operational research and management science

Royston, Geoff

doi:10.2471/blt.11.086066

Cited by 31 publications

(45 citation statements)

References 38 publications

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“…They conducted their studies in five faces, from the collection of data to actual improvement in the quality of the health care delivery system. It follows to say that with greater capability in this field, operational research and management science can play a significant role in global health [21] and that Operation research embodies wide range of techniques [22] that can improve the way we plan and organize health services. According to Martha and Sarah [23] smoothing the flow of patients in and out of hospitals and other health care settings can help to reduce overcrowding, prevent poor handoffs, and avoid delays, all of which may worsen as more people gain access to insurance coverage and care and [24] the study of health care delay is an application of the discipline of queuing theory.…”

Section: Related Workmentioning

confidence: 99%

Optimality Test for Multi-Sever Queuing Model with Homogenous Server in the Out-Patient Department (OPD) of Nigeria Teaching Hospitals

Ikwunne¹,

Onyesolu²

2016

IJMECS

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Abstract-Queuing by patients in the out-patients department to access hospital services in Nigeria teaching hospitals is a teething concern to most healthcare providers. This causes inconvenience to patients and economic costs to the hospitals. Patients waiting for minutes, hours, days or months to receive medical services could result in waiting costs to them. Providing too much service could result in excessive costs. Also not providing adequate services could result in excessive waiting and costs. This study sought to determine an optimal server level and at a minimum total cost which include waiting and service costs in homogenous servers in order to reduce patients' congestions in the hospital as low as reasonably practicable. The queuing characteristics in all the twenty-three (23) teaching hospitals in Nigeria were analysed using a Multi-server Queuing Model and the waiting and service costs determined with a view to ascertaining the optimal service level. The data for this study were collected through observations and interviews. The data was analysed using Quantitative Methods, Production and Operations Management (POM QM) and Queuing Theory Calculator Software as well as using descriptive analysis. The results of the analysis demonstrated that average queue length, waiting time of patients as well as over utilization of specialist doctors at the teaching hospitals could be reduced at an optimal server level and at a minimum total cost as against their present server level with high total cost which include waiting and service costs. Therefore, this call for refocusing so as to improve the overall patient care in our cultural context and meet the patient needs in our environment.

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Section: Related Workmentioning

confidence: 99%

Optimality Test for Multi-Sever Queuing Model with Homogenous Server in the Out-Patient Department (OPD) of Nigeria Teaching Hospitals

Ikwunne¹,

Onyesolu²

2016

IJMECS

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“…That requires a greater understanding of what resources will be required and where and how they should best be deployed, of what assists or impedes efficient and equitable delivery, and of what outcomes implementation is likely to achieve [3]. This presents a global health research challenge [4], not least for management science and operational research [5].…”

Section: Introductionmentioning

confidence: 99%

Special issue on global health

Royston

2012

Health Care Manag Sci

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“…There is also a growing trend that is applying the more flexible systems-oriented and modeling techniques in healthcare evaluation. For instance, Royston (2011) proposes that modeling decision trees can give prompt insights into the operational and cost effectiveness of initiatives. These are mostly qualitative approaches particularly suitable when the background information is insufficient for the intended purposes, or when dealing with complex, ill-defined problems for which quantitative approaches may be difficult or even inappropriate.…”

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confidence: 99%

“…These are mostly qualitative approaches particularly suitable when the background information is insufficient for the intended purposes, or when dealing with complex, ill-defined problems for which quantitative approaches may be difficult or even inappropriate. In addition to analytical rigor these approaches are simple and transparent (Royston, 2011). Merrill et al (2013) apply a system dynamics model to evaluate the complexities involved in implementing electronic health information exchange for public health reporting at a state health department, which enables the identification of policy implications to inform similar implementations.…”

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confidence: 99%

“…In comparison to these more resources intensive (both financial and time) indepth approaches, this approach facilitated a one point in time appraisal of the ICT contribution to healthcare delivery. This is presumably less time consuming, and as Royston (2011) suggests provides prompt insights into the performance of development initiatives, as well as advising on improvements or future implementation. The analytical rigor in terms of the reliability and validity of the results are further ensured by the sensitivity analysis mechanisms inbuilt in the evaluation tool.…”

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confidence: 99%

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Using a Structured Approach to Evaluate ICT4D: Healthcare Delivery in Uganda

Kivunike

Ekenberg

Danielson

et al. 2015

E J Info Sys Dev Countries

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Using a case from the healthcare delivery sector, we demonstrate how a structured evaluation approach can facilitate the measurement of actual ICT contributions in various contexts. Typically, such are intricate due to the complexities inherent in the environments, making it difficult to evaluate the relationship between ICT and the benefits it intends to achieve to a reasonable degree. The approach suggested in this paper tries to partly remedy some of these complications, by facilitating qualitative data elicitations, aggregation, analysis and evaluation. To make this computationally meaningful, a decision support tool for handling numerically imprecise information is used for the data analysis and evaluation details. The results of this indicate that such an approach makes at least some meaningful input for practitioners and policymakers. In comparison to the qualitative in-depth approaches this approach facilitates a one-point in time assessment, which is less resource intensive, but provides prompt and substantial insight on the development performance of ICT4D initiatives. A similar approach would also be applicable to different sectors, and can utilize a broader scope of criteria, as well as incorporate views from several categories of stakeholders.

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Meeting global health challenges through operational research and management science

Cited by 31 publications

References 38 publications

Optimality Test for Multi-Sever Queuing Model with Homogenous Server in the Out-Patient Department (OPD) of Nigeria Teaching Hospitals

Optimality Test for Multi-Sever Queuing Model with Homogenous Server in the Out-Patient Department (OPD) of Nigeria Teaching Hospitals

Special issue on global health

Using a Structured Approach to Evaluate ICT4D: Healthcare Delivery in Uganda

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