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86,362 result(s) for "SUPPLY OF HEALTH CARE"
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New insights into the provision of health services in Indonesia : a health workforce study
Indonesia has made improving the access to health workers, especially in rural areas, and improving the quality of health provider's key priority areas of its next five-year development plan. Significant steps and policy changes were taken to improve the distribution of the health workforce, in particular the contracted doctors program and later the contracted midwives program, but few studies have been undertaken to measure the actual impact of these policies and programs. This book is part of the inputs prepared at the request of the government of Indonesia's national development agency, Bappenas, to inform the development of the next national development plan 2010-14. Other inputs include reports on health financing, fiscal space for health, health public expenditure review, and assessments of maternal health and pharmaceuticals. Study findings highlight the importance not only of improving the supply of health care, but also of improving quality, so as to improve health outcomes. Over the period studied, important gains in the determinants of health outcomes have occurred in Indonesia. At the same time, however, the study shows that Indonesia, despite the significant gains, continues to suffer from serious challenges in the number and distribution, and in particular the quality, of its health workers.
The labor market for health workers in Africa
Health systems in Sub-Saharan Africa have changed profoundly over the last 20 years. The economic crisis of the 1980s and 1990s rattled public health care systems, which were largely holdovers from the colonial and postcolonial eras. The later wave of structural adjustments and public sector reforms wrought further change. As African economies opened to market based approaches, the private sector became a sizable source of health care service. Today about half the health expenditures in Africa are private, and private providers play a major role in the delivery of outpatient services. This is draws on the lessons, knowledge, and data gathered by the World Bank's Africa Region Human Resources for Health Program. For the first time, the various complexities of Human Resources for Health (HRH) labor markets are addressed comprehensively in one volume. Given the increasing demand in countries for strong health workforces that can help achieve universal health coverage; we hope this book will be beneficial to researchers, policy makers, and practitioners who are trying to develop evidence-based HRH interventions to achieve this end.
An integrated DEA/GP based approach for designing healthcare supply chains with mixed data: a real world application
Purpose As supply chain excellence matters, designing an appropriate health-care supply chain is a great consideration to the health-care providers worldwide. Therefore, the purpose of this paper is to benchmark several potential health-care supply chains to design an efficient and effective one in the presence of mixed data. Design/methodology/approach To achieve this objective, this research illustrates a hybrid algorithm based on data envelopment analysis (DEA) and goal programming (GP) for designing real-world health-care supply chains with mixed data. A DEA model along with a data aggregation is suggested to evaluate the performance of several potential configurations of the health-care supply chains. As part of the proposed approach, a GP model is conducted for dimensioning the supply chains under assessment by finding the level of the original variables (inputs and outputs) that characterize these supply chains. Findings This paper presents an algorithm for modeling health-care supply chains exclusively designed to handle crisp and interval data simultaneously. Research limitations/implications The outcome of this study will assist the health-care decision-makers in comparing their supply chains against peers and dimensioning their resources to achieve a given level of productions. Practical implications A real application to design a real-life pharmaceutical supply chain for the public ministry of health in Morocco is given to support the usefulness of the proposed algorithm. Originality/value The novelty of this paper comes from the development of a hybrid approach based on DEA and GP to design an appropriate real-life health-care supply chain in the presence of mixed data. This approach definitely contributes to assist health-care decision-makers design an efficient and effective supply chain in today’s competitive word.
The impact of counterfeit risk management on healthcare supply chain performance: an empirical analysis
PurposeThis study develops and tests a model exploring the relationship between supply chain (SC) counterfeit risk management and performance in the healthcare supply chain (HCSC).Design/methodology/approachIn the proposed theoretical model, HCSC counterfeit risk management is characterized by HCSC counterfeit risk orientation (HCRO), HCSC counterfeit risk mitigation (HCRM) and HCSC risk management integration (HRMI), while performance is represented by healthcare logistics performance (HLP) and healthcare organization overall performance (HOP). Partial least squares structural equation modeling (PLS-SEM) and survey data from 55 HCSC managers are used to test the research hypotheses.FindingsHCRO has a significant positive effect on HCRM, while HCRM has a positive impact on HRMI. With respect to HLP, HCRM has a nonsignificant effect, while HRMI has a significant impact, thus confirming the important mediating role of HRMI. Finally, HLP has a significant positive effect on the overall performance of healthcare organizations.Research limitations/implicationsAll study participants were from the United States, limiting the generalizability of the study findings to different countries or regions. The sample size employed in the study did not allow the authors to distinguish among the different types of healthcare organizations.Originality/valueThis study delineates between a healthcare organization's philosophy toward counterfeiting risks vs actions taken to eliminate or reduce the impact of counterfeiting on the HCSC. By offering firm-level guidance for managers, this study informs healthcare organizations about addressing the challenge of counterfeiting in the HCSC.
Analyzing markets for health workers
The aim of this publication is to examine how labor and health economics can be used to analyze and better understand the role and functions of health worker labor markets. Health workforce shortages stem not only from inadequate overall supply, but also from suboptimal allocation of health human resources by location and role. Low performance and productivity are also issues. These three problems are often compounded by a resource problem - the gap between the finances required for an adequate workforce and those likely available. The application of labor economics to health care labor markets needs to account for the specific institutional features and market failures in health care. The document is organized as follows: first section gives introduction, the second section sets out a broad framework that needs to be used when examining health care labor markets. The third section summarizes the key issues surrounding the demand and supply of health workers and how these interact in the health worker labor market. The fourth section summarizes the broad analytical approaches used in economics, focusing on issues of causality and labor market dynamics. The final section suggests some gaps in research and analysis for health worker labor markets in low- and middle-income countries (LMICs).
Supply chain risk management to achieve healthcare supply chain operational excellence: a fsQCA and PLS-SEM approach
Purpose Healthcare supply chains (HCSCs) face severe challenges when compared to regular chains. Besides avoiding bankruptcy, they must accomplish their goal which is to save lives. Since 2019 the COVID-19 pandemic evidenced that a HCSC disruption generates disruptions to other SCs. Therefore, the objective of this paper is threefold: conduct a systematic literature review to build a HCSC operational excellence (HSCOE) definition; build a conceptual framework by mapping the antecedents of HSCOE and formulate hypotheses; test the hypotheses using a fuzzy-Set Qualitative Comparative Analysis (fsQCA) combined with partial least squares structural equation modeling (PLS-SEM) techniques to obtain empirical validation. Design/methodology/approach Given this context, this paper conducted a systematic literature review to build a HSCOE conceptual framework and used a fsQCA combined with PLS-SEM techniques to obtain empirical validation. Findings The paper revealed a relationship between important variables to achieve HSCOE, such as Supply chain 4.0, SC risk management, SC integration, SC resilience (antecedents) and HSCOE (consequent). Originality/value The literature contributions of this paper are as follows: validating a new scale for each of the constructs; finding evidence of the causal relationships between the latent variables; measuring how the constructs influence the HSCOE; in addition, the results address important literature gaps identified by researchers and serve as a guide to organizations that need to implement these practices. Furthermore, this study recommends that HCSC managers consider the implementation of robust initiatives concerning the latent variables presented in this work.
The Value of Applying Big Data Analytics in Health Supply Chain Management version 4; peer review: 2 approved
This study aims to evaluate the impact of big data analytics (BDA) on the performance of healthcare supply chain management (HCSCMP) by examining both overall efficiency improvements and identifying critical success factors for effective implementation. Through a systematic literature review, the research investigates how BDA enhances real-time decision-making within healthcare supply chains (HCSCs) and identifies the key enablers required for successful BDA adoption. A comprehensive search strategy was employed to analyze 65 papers, resulting in the inclusion of 39 studies published between 2016 and 2023. The review revealed a preference for literature reviews and questionnaires as the primary research methods. The findings indicate that BDA significantly improves HCSCs' efficiency, particularly in real-time decision-making and operational management. However, successful BDA implementation depends on addressing critical enablers and overcoming associated challenges.
Benchmarking health-care supply chain by implementing Industry 4.0: a fuzzy-AHP-DEMATEL approach
PurposeWith the rising needs of health-care (HC) services during the health outbreaks, it is essential to upgrade the existing HC delivery infrastructure. The study aims to prioritize and highlight the interrelationships among the key factors of the smart health-care supply chain (HCSC) by implementing the concept of Industry 4.0.Design/methodology/approachThe key factors of implementing Industry 4.0 in HCSC have been identified through extensive literature review and stakeholders' opinions. To achieve the abovementioned objectives, the present study proposed hybrid multi-criteria decision-making (MCDM) tools, namely, the fuzzy-analytic hierarchy process (AHP) and fuzzy- decision-making trial and evaluation laboratory (DEMATEL). The Fuzzy-AHP prioritized the factors of implementing Industry 4.0 in HCSC, while the cause–effect relationships among the factors have been explored using fuzzy-DEMATEL.FindingsThe results of the study indicated that HC logistics management (HCLM) is the most prioritized factor of implementing Industry 4.0 in HCSC, followed by the integrated HCSC, then sustainable HCSC practices, HCSC innovation and technological aspects, HCSC institutional perspectives, HCSC competitiveness, social aspects and economic factors of HCSC. The cause–effect analysis has highlighted integrated HCSC, HCLM, HCSC competitiveness and social aspects as the cause group factors and they are the critical success parameters for implementing Industry 4.0 in the HCSC.Practical implicationsThe results of the study can be useful for policymakers, humanitarian organizations, health administrators and other decision makers considering the smartening of HCSC to enhance the operational performance of health facilities.Originality/valueThis is one of the few studies to have been conducted so far in which the subfactors of HCSC implementing Industry 4.0 have been identified and analyzed using the fuzzy-AHP and fuzzy-DEMATEL hybrid approach.
Healthcare Supply Chain Efficacy as a Mechanism to Contain Pandemic Flare-Ups: A South Africa Case Study
The resilience and reliability of healthcare supply chain models were put to the test by the Corona Virus Disease 2019 (COVID-19). This study investigated the application of supply chain systems in South African healthcare institutions during the COVID-19 pandemic. A systematic literature review (SLR) was employed to explore the performance of existing supply chain systems, followed by a case study that tested and compared the acquisition and distribution of COVID-19 resources. The SLR revealed that most of the flare-ups were exacerbated by the acquisition of insufficient resources and speculative shortages as the supply chain systems got overwhelmed by the unprecedented demand. The simulation of the real-world data of South Africa revealed gaps in the distribution of resources, allocation of medical staff to administer COVID-19 vaccines, and shortages of vaccines. The study recommends development of effective contextual (SA) healthcare supply chain systems to support the containment of pandemic flare-ups. The study was conducted in South Africa and only reported data was used.