Humanitarian medical supply chain in disaster response

Dolinskaya, Irina; Besiou, Maria; Guerrero-Garcia, Sara

doi:10.1108/jhlscm-01-2018-0002

Cited by 26 publications

(37 citation statements)

References 51 publications

(80 reference statements)

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“…Management of relief operations plays an important role from the start to end. When a plethora of efforts are made to manage an event, there is a chance of duplication of energies, which is usually caused by wrong management and lack of coordination among the partners of the humanitarian network, resulting in wastage of resources (Chong et al, 2019;Dolinskaya et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Developing and analyzing framework to manage resources in humanitarian logistics

Ahmed

Najmi

Khan

et al. 2019

JHLSCM

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Purpose Humanitarian services usually perform in the face of uncertainty in which mobilization of resources in an efficient and effective manner is a big challenge. Sharing timely and correct information among logistics partners and workers is a key to drive rapid response logistics effectively. The purpose of this paper is to understand how coordinated effort effects resources management (RM). Design/methodology/approach This study uses quantitative research methodology and collected data from 82 humanitarian workers dealing with logistical activities from a densely populated city of Pakistan. Data were then statistically analyzed through partial least squares–structural equation modeling. Findings The results suggest that the success of humanitarian supply network depends upon the level of trust among the partners, which accelerates commitment through strong coordination. Information sharing reduces behavioral uncertainty and enhances swift trust (ST). ST then helps to improve coordination and commitment from all stakeholders in order to manage resources to lead effective relief operations. Practical implications The study guides the practitioners and relief operations’ policy makers to lay emphasis on distributing right and timely information flow among the partners, which can lead to effective, efficient and swift humanitarian relief operations. Originality/value This study on RM during humanitarian logistics is well timed in the context of developing country with high uncertain events, improper infrastructure and very limited resources.

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Section: Introductionmentioning

confidence: 99%

Developing and analyzing framework to manage resources in humanitarian logistics

Ahmed

Najmi

Khan

et al. 2019

JHLSCM

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“…Then, the use of vehicles with controlled temperature and humidity, for example, is essential for the operations. 29 In disaster situations, the capacity for transportation is usually limited, or even non-existent, causing a logistical restriction, compromising the distribution of the inputs, depending on its organization and availability. 30 Medicine utilization contemplates prescription and dispensing stages before arriving at the ultimate use by the patients.…”

Section: Discussionmentioning

confidence: 99%

“…The access to health care items, as the ones cited by those interviewed, is many times handicapped, but it must be prioritized in emergencies so that the burden of the damages and diseases that follow disasters can be reduced. 29…”

Section: Discussionmentioning

confidence: 99%

Preparedness of Pharmaceutical Services in Military Organizations: Learning from an Assessment in Brazil

Souza

Miranda

2019

Prehosp. Disaster med.

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Introduction:The participation of armed forces in humanitarian operations and in disaster response is common in many countries. In Brazil, the armed forces have had history in providing health support to victims in emergencies, which also includes the provision of pharmaceutical services (PS).Problem:Even though being essential for the provision of health care in disaster response, the preparedness of PS is not well-addressed in the literature. The use of a comprehensive approach to evaluate preparedness of PS in military institutions may subsidize preparedness measures. The goals of this work were to analyze the preparedness of PS for disaster response and humanitarian aid in military units of a Brazilian armed force institution, and to propose a framework to improve the preparedness of PS in operational medicine.Methods:An investigation of a cross-sectional design was performed. A logic model and indicators to evaluate preparedness of PS were applied. Data were obtained from official documents, interviews with key stakeholders, and observation of good storage practices (GSP).Results:Identified were: lack of specific budget for medicine procurement in case of disaster, absence of emergency stockpile, proper means for medicine transportation, and records of trained health professionals. An emergency plan, a list of selected medicines, adaptable mobile health care units, and a system for mobilization of health professionals were some of the positive aspects recognized. Different aspects for improvement were acknowledged and recommendations to favor the efficiency and the quality of PS in emergencies were proposed.Conclusions:The investigation provided valuable results for the planning and execution of responses to disasters and humanitarian aid. The findings and proposed recommendations may be useful for other military organizations similar to those in Brazil.

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“…mass casualty incidents, pandemics and disasters) case, most research works elaborate retrospective, descriptive cross-sectional and observational studies of hospitals response to these incidents Koka et al, 2018;Waage et al, 2013). They also develop some strategies for collaboration, coordination (Medel et al, 2020;Maon et al, 2009;Sabri et al, 2019;Mills et al, 2018;Shahverdi et al, 2020;Zaw and Lim, 2017) and hospitals surge capacities (Hick et al, 2012;Timbie et al, 2013;Sheikhbardsiri et al, 2017;TariVerdi et al, 2018;Dolinskaya et al, 2018). Besides, they evaluate some triage systems and strategies that include medical resources estimation under disasters and mass casualty incidents (MCI) (Adeniji and Cusack, 2011;Bohn et al, 2011).…”

Section: Related Workmentioning

confidence: 99%

A preliminary study for selecting the appropriate AI-based forecasting model for hospital assets demand under disasters

Jebbor

Chiheb

Afia

2021

JHLSCM

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PurposeHospitals recently search for more accurate forecasting systems, given the unpredictable demand and the increasing occurrence of disruptive incidents (mass casualty incidents, pandemics and natural disasters). Besides, the incorporation of automatic inventory and replenishment systems – that hospitals are undertaking – requires developed and accurate forecasting systems. Researchers propose different artificial intelligence (AI)-based forecasting models to predict hospital assets consumption (AC) for everyday activity case and prove that AI-based models generally outperform many forecasting models in this framework. The purpose of this paper is to identify the appropriate AI-based forecasting model(s) for predicting hospital AC under disruptive incidents to improve hospitals' response to disasters/pandemics situations.Design/methodology/approachThe authors select the appropriate AI-based forecasting models according to the deduced criteria from hospitals' framework analysis under disruptive incidents. Artificial neural network (ANN), recurrent neural network (RNN), adaptive neuro-fuzzy inference system (ANFIS) and learning-FIS (FIS with learning algorithms) are generally compliant with the criteria among many AI-based forecasting methods. Therefore, the authors evaluate their accuracy to predict a university hospital AC under a burn mass casualty incident.FindingsThe ANFIS model is the most compliant with the extracted criteria (autonomous learning capability, fast response, real-time control and interpretability) and provides the best accuracy (the average accuracy is 98.46%) comparing to the other models.Originality/valueThis work contributes to developing accurate forecasting systems for hospitals under disruptive incidents to improve their response to disasters/pandemics situations.

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Humanitarian medical supply chain in disaster response

Cited by 26 publications

References 51 publications

Developing and analyzing framework to manage resources in humanitarian logistics

Developing and analyzing framework to manage resources in humanitarian logistics

Preparedness of Pharmaceutical Services in Military Organizations: Learning from an Assessment in Brazil

A preliminary study for selecting the appropriate AI-based forecasting model for hospital assets demand under disasters

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