Healthcare logistics and supply chain – issues and future challenges

Ageron, Blandine; Benzidia, Smaïl; Bourlakis, Michael

doi:10.1080/16258312.2018.1433353

Cited by 74 publications

(49 citation statements)

References 12 publications

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“…This comes from the critical status of medical supplies in care delivery and the behaviour of all supply chain stakeholders who, in order to prevent inventory shortages, tend to overstock. Overcosts and losses are major (Landry, Beaulieu, and Roy 2016) and therefore there is great potential for improvement through supply chain management (SCM) practices (Nabelsi and Gagnon 2017;Ageron, Benzidia, and Bourlakis 2018). The internal supply chain of hospitals remains the weakest link in hospitals (Landry and Philippe 2004) and the health sector is lagging behind industry as it has not been able to reap the full benefits of SCM due to their slow adoption (McKone-Sweet, Hamilton, and Willis 2005;Toba, Tomasini, and Helio Yang 2008).…”

Section: Introductionmentioning

confidence: 99%

Automated hospital pharmacy supply chain and the evaluation of organisational impacts and costs

Mathy

Pascal

Fizesan

et al. 2020

Supply Chain Forum: An International Journal

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Supply chain digitalisation equipment's raise concerns for hospital decision-makers, especially regarding the cost-efficiency ratio, usually evaluated through health technologies assessments (HTA) at a national level or by return on investment (ROI) calculations by the hospital finance department. Unfortunately, none of the two methods identifies organisational impacts, nor hidden gains and costs, especially those that are related to the internal reallocation of resources as shows the example of automated dispensing systems (ADS) in the central pharmacy of a French hospital with a posteriori analysis from the hospital perspective. The introduction of the ADS caused some hidden costs or gains, which do not generate any financial flow and which are therefore not valued. When they are valued, as we do in this study by including them in the ROI calculation, the results change dramatically: the profitability of the investment goes from negative to positive. Given the importance of hidden gains and costs related to organisational impacts, they should be included in evaluations.

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Section: Introductionmentioning

confidence: 99%

Automated hospital pharmacy supply chain and the evaluation of organisational impacts and costs

Mathy

Pascal

Fizesan

et al. 2020

Supply Chain Forum: An International Journal

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“…The study found that more than half of the health facilities were not logistically prepared. A related health care logistics the supply chain redesign of pharmaceutical products and logistics system saturation is still an important challenge that the healthcare sector faces (35). This implies that in case of a disease outbreak a lot health facilities will struggle to provide the required logistics to its staff and might have to depend on national level emergency mobilization efforts to respond adequately without putting themselves and other patients at risk of contracting infection.…”

Section: Logistical Capability and Preparednessmentioning

confidence: 99%

Preparedness of Health Care Systems for Ebola Outbreak Response in Kasese and Rubirizi districts, Western Uganda

Kibuule

Sekimpi²,

Agaba³

et al. 2020

Preprint

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Background The level of preparedness of the health care workers, the health facility and the entire health system determines the magnitude of the impact of an Ebola Virus Disease (EVD) outbreak as demonstrated by the West African Ebola outbreak. The objective of the study was to assess preparedness of the health care facilities and identify appropriate preparedness measures for Ebola outbreak response in Kasese and Rubirizi districts in western Uganda. Methods A cross sectional descriptive study was conducted by interviewing 189 health care workers using a structured questionnaire and visits to 22 health facilities to determine the level of health care system preparedness to EVD outbreak. District level infrastructure capabilities, existence of health facility logistics and supplies, and health care workers’ knowledge of EVD was assessed. EVD Preparedness was assessed on infrastructure and logistical capabilities and the level of knowledge of an individual health work about the etiology, control and prevention of EVD. Results Twelve out of the 22 (55%) of the health facilities, especially health center III’s and IV’s, did not have a budget to respond to EVD. The majority (> 59%%) of the facilities did not have the following: case definition books, rapid response teams and/or committees, burial teams, simulation drills. Information on presence of personal protective equipment within 8 hours was lacking for 62% of the health facilities. All facilities (100%) did not have Viral Hemorrhagic Fever (VHF) incident management centers, isolation units, guidelines for burial, and one-meter distance between health care worker and patient during triage. Overall, 54% (n = 102) of health care workers (HCWs) did not know the incubation period of EVD. HCWs who had tertiary education (cOR = 6.36; CI = 2.05–19.66; p = 0.001), were Clinical Officers (cOR = 3.13; CI = 1.02–9.59; p = 0.046) and were Christian (cOR = 5.73; CI = 1.22–26.78; p = 0.027) were more likely to know about EVD. Conclusions Feedback on the level of preparedness for the rural districts helps inform strategies for building capacity of these health centers in terms of infrastructure, logistics and improving knowledge of health care workers.

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“…Some examples of practical contributions are: waste reduction by tracking blood flows or transplanted organs, helping to minimize travel time. In patient flows, operational research can help reduce waiting times or misuse of medical resources (Ageron et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Integration of Facility Location and Equipment Allocation in Health Care Management

Sathler

Almeida

Conceição

et al. 2019

BJO&PM

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Goal: This study aims at solving a location problem of Medical Specialties Centers (MSCs) and medical care equipment allocation. Addressing both problems simultaneously is an opportunity to improve public health service quality in the long-term since the literature traditionally treats these problems separately. Design / Methodology / Approach: The challenge consists in maximizing demand satisfaction with the minimum resource allocation in the public health care reality, where there is limited resource availability and high demand for medical services. For that, it was developed an integrated mathematical model, throughout mixed linear programming. The problem is a case study applied to the secondary public health care level in a Brazilian state. The method is generic and suitable to set the location and allocate resources in health care if the decision maker’s intention is to maximize the use of specialists’ assistance and medical exams. Results: The results reveal possible improvements in accessibility. Among the insights, the state government should hire 4% more specialists and acquire 1.5% more equipment to assist 99% of population demand for health care service on the secondary level. Limitation of the investigation: Usually, one appointment can result in more than one medical exam referral. However, this study considers that each specialist meeting refers to only one exam per consultation. Practical implications: This study contributes to healthcare planning, suggesting a better distribution and allocation of facilities, equipment, and professionals. Moreover, the study proposes accessibility improvements to health unit centers. Originality / Value: The main contribution of this work is the new integrated approach to public health care planning. The system proposes the reduction of access inequality and the improvement of the quality of health care services.

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Healthcare logistics and supply chain – issues and future challenges

Cited by 74 publications

References 12 publications

Automated hospital pharmacy supply chain and the evaluation of organisational impacts and costs

Automated hospital pharmacy supply chain and the evaluation of organisational impacts and costs

Preparedness of Health Care Systems for Ebola Outbreak Response in Kasese and Rubirizi districts, Western Uganda

Integration of Facility Location and Equipment Allocation in Health Care Management

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