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Relevant bibliographies by topics / Allocation of health care resources

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Academic literature on the topic 'Allocation of health care resources'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Allocation of health care resources"

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Karahda, Aarti, and Shobhit Kumar Prasad. "The Mental Health Care Act 2017 and Mental Health Resource Allocation in India." Annals of Indian Psychiatry 8, no. 1 (2024): 83–88. http://dx.doi.org/10.4103/aip.aip_80_22.

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Abstract Mental health policymakers are now tasked with maximizing the efficient and effective use of mental health resources as a result of fundamental changes to mental health laws. A crucial step in this process is ensuring optimal resource allocation across the service. Multiple biases prevent policymakers from allocating resources to mental health, resulting in a violation of the right to health, an increase in suffering, and a heavy economic burden associated with mental illness. This article provides a summary of Indian mental health policy, examines Indian public perceptions of mental

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Davis, Anne J. "The Allocation of Health Care Resources." Western Journal of Nursing Research 13, no. 1 (1991): 136–37. http://dx.doi.org/10.1177/019394599101300110.

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Davies, Mark. "Allocating resources in mental health: a clinician's guide to involvement." Advances in Psychiatric Treatment 12, no. 5 (2006): 384–91. http://dx.doi.org/10.1192/apt.12.5.384.

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With fundamental changes to the way services are commissioned and resourced within the UK's National Health Service (NHS), optimising the efficient and effective use of resources has become a key task for mental health clinicians and managers. A core step in this process is ensuring that resources are optimally allocated across the service. This article outlines steps in resource allocation, including understanding how resources are managed through budgets, the link between resource matching and care delivery, and methods of reallocating resources to improve service performance. Influencing ap

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Goodman, N. W. "Lifestyles and allocation of health care resources." Journal of Medical Ethics 20, no. 4 (1994): 271. http://dx.doi.org/10.1136/jme.20.4.271.

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Li, Qian, Jianjun Wei, Fengchang Jiang, et al. "Equity and efficiency of health care resource allocation in Jiangsu Province, China." International Journal for Equity in Health 19, no. 1 (2020): 211. https://doi.org/10.1186/s12939-020-01320-2.

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<strong>Background: </strong>Jiangsu was one of the first four pilot provinces to engage in comprehensive health care reform in China, which has been on-going for the past 5 years. This study aims to evaluate the equity, efficiency and productivity of health care resource allocation in Jiangsu Province using the most recent data, analyse the causes of deficiencies, and discuss measures to solve these problems.<strong>Methods: </strong>Data were extracted from the Jiangsu Health/Family Planning Statistical Yearbook (2015–2019) and Jiangsu Statistical Yearbook (2015–2019). The Gini coefficient (

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Gamliel, Eyal, and Eyal Peer. "Attribute framing affects the perceived fairness of health care allocation principles." Judgment and Decision Making 5, no. 1 (2010): 11–20. http://dx.doi.org/10.1017/s1930297500001996.

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AbstractHealth care resource allocation is a central moral issue in health policy, and opinions about it have been studied extensively. Allocation situations have typically been described and presented in a positive manner (i.e., who should receive medical aid). On the other hand, the negative valence allocation situation (i.e., who should not receive medical aid) has been relatively neglected. This paper demonstrates how positive versus negative framing of the exact same health care resource allocation situation can affect the perceived fairness of allocation principles. Participants usually

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Sebaa, Abderrazak, Amina Nouicer, AbdelKamel Tari, Ramtani Tarik, and Ouhab Abdellah. "Decision support system for health care resources allocation." Electronic Physician 9, no. 6 (2017): 4661–68. http://dx.doi.org/10.19082/4661.

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Sheldon, Trevor A., and Peter C. Smith. "Equity in the allocation of health care resources." Health Economics 9, no. 7 (2000): 571–74. http://dx.doi.org/10.1002/1099-1050(200010)9:7<571::aid-hec555>3.0.co;2-8.

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Crowe, Mary Lind. "Allocation of Health Care Resources at the Point of Care." Journal of Legal Medicine 31, no. 4 (2010): 455–65. http://dx.doi.org/10.1080/01947648.2010.535432.

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Tseng, Ming-Hseng, and Hui-Ching Wu. "Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation." International Journal of Environmental Research and Public Health 18, no. 3 (2021): 1153. http://dx.doi.org/10.3390/ijerph18031153.

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Equity in accessible healthcare is crucial for measuring health equity in community care policy. The most important objective of such a policy in Taiwan is empowering people and communities by improving health literacy and increasing access to healthcare resources. Using the nearest-neighbor two-step floating catchment area method, this study performed an accessibility assessment for community care resources before and after supply capacity optimization. For the target of maximum equity when allocating community care resources, taking maximum values, mean values and minimum values of the dista

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Dissertations / Theses on the topic "Allocation of health care resources"

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Sundquist, Kristina. "Individual health, neighborhood characteristics, and allocation of primary health care resources /." Stockholm, 2003. http://diss.kib.ki.se/2003/91-7349-595-6/.

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Kiracho, Elizabeth Ekirapa. "Equity in the allocation of primary health care resources in Uganda." Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/8915.

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Babaie, M. H. "Inequities in health and health care between provinces of Iran : promoting equitable health care resource allocation." Thesis, University of Salford, 2014. http://usir.salford.ac.uk/30807/.

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Investigation of the influence of public expenditure on health lends support to the opinion that equitable distribution of financial resources would help to reduce inequities in health. This thesis set out to establish inequities in access to health care and health outcomes across the provinces of Iran and explore equitable resource allocation models to contribute to the reduction of health inequities. Inequities were measured based on the relationship between a range of health indicators and socioeconomic status in the provinces. Information on mortality, morbidity, and socioeconomic factors

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Ho, Anita Tsz-Shan. "The ethics and politics of health-care resource allocation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ60297.pdf.

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Griffin, Jacqueline A. "Improving health care delivery through multi-objective resource allocation." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/50108.

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This dissertation addresses resource allocation problems that occur in both public and private health care settings with the objective of characterizing the tradeoffs that occur when simultaneously incorporating multiple objectives and developing methods to address these tradeoffs. We examine three resource allocation problems (i) strategic allocation of financial resources and limited staffing capacity for the mobile delivery of health care within African countries, (ii) real-time allocation of hospital beds to internal patient requests, and (iii) development of patient redirection policies i

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Jutan, Norma M. "Home care in Ontario: Allocation of limited resources and the needs of light-care clients." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2806.

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There is the desire amongst elderly Canadians to remain living at home, maintaining their independence. As the population ages, the health care system is faced with the challenge of allocating limited resources. Home care in Ontario is provided through Community Care Access Centres (CCAC) or Community Support Agencies (CSA). This study made comparisons among CSA clients (using the interRAI-Community Health Assessment, n=796), a sub-population of CCAC clients with lighter-care needs (n=8163) and all other CCAC clients (n=31,078), both using the Minimum Data Set-Home Care (MDS HC). The

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Safranyik, Gina Diane Michelle. "Macro-allocation of health care resources, a computer simulation comparing a utilitarian and a deontological approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/MQ48204.pdf.

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Mbatsha, Sandi Andrew. "Decentralised resource allocation and its impact on equitable health care financing." Master's thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/11186.

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Includes abstract.<br>Includes bibliographical references (leaves 81-87).<br>The main objectives of this thesis are to: (i) Map the financing of non-hospital primary health care within local government areas in South Africa; analyse the equity of financing health care in relation to need (iii) and document the process followed at provincial and local government level in decision making around budgeting for non-hospital Public Health Care services.

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Petrou, Stavros. "Examining QALY's : analysing the use of quality adjusted life years in the allocation of health care resources." Thesis, University of St Andrews, 1992. http://hdl.handle.net/10023/13344.

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This thesis examines the use quality adjusted life years (QALY'S) in the allocation of health care resources. It is divided into three broad sections. The first section discusses how health status measurement techniques can be used to derive the utility values incorporated into QALY'S. The second section uses one health status measurement instrument, the Rosser-Kind Classification of Illness States, to estimate the QALY'S gained by patients who have undergone hip and knee joint replacement surgery. It is shown that the Rosser-Kind Classification of Illness States is as effective in measuring t

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Quayyum, Zahidul. "Developing a needs-based resource allocation model for health care expenditure in Bangladesh." Thesis, University of Aberdeen, 2012. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=194789.

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The allocations of health care resources in Bangladesh are not based on the needs of the population. Equality in health care expenditure can be achieved by the use of needs-based resource allocation formulae. Applying such methods in Bangladesh can provide an essential guideline to achieve equality in resource allocation. This thesis examines the prospect of developing a needs-based allocation of health care resources. It attempts to address the counterfactual question of what would have been the allocation to each district had the needs of the population been accounted for. Two alternative ap

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Books on the topic "Allocation of health care resources"

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Humber, James M., and Robert F. Almeder, eds. Allocating Health Care Resources. Humana Press, 1995. http://dx.doi.org/10.1007/978-1-59259-447-4.

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1944-, Clarke Juanne N., and McCready Douglas J, eds. Health futures: Resource allocation. Interdisciplinary Research Committee, 1990.

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McCarrick, Pat Milmoe. The aged and the allocation of health care resources. National Reference Center for Bioethics Literature, 1993.

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Klonschinski, Andrea. The Economics of Resource Allocation in Health Care. Routledge, 2016. http://dx.doi.org/10.4324/9781315645377.

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Manga, Pranlal. The allocation of health care resources: Ethical and economic choices, conflicts and compromise. Commission d'enquête sur les services de santé et les services sociaux, 1987.

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1954-, McKie John, ed. The allocation of health care resources: An ethical evaluation of the 'QALY' approach. Ashgate, 1998.

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Köckeritz, Antje. Distributing medical resources: An application of cooperative bargaining theory to an allocation problem in medicine. Peter Lang, 2012.

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Mays, Nicholas B. Resource allocation in the health service: A review of the methods of the Resource Allocation Working Party (RAWP). Bedford Square / NCVO, 1987.

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Fleck, Leonard M., Anne Slowther, Marion Danis, Samia A. Hurst, and Reidun Førde. Fair resource allocation and rationing at the bedside. Oxford University Press, 2015.

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Board, NHS Management. Review of the Resource Allocation Working Party formula. Department of Health and Social Security, 1988.

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Book chapters on the topic "Allocation of health care resources"

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Newton, Lisa. "Allocation of Health Care Resources." In The American Experience in Bioethics. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00363-4_3.

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Brody, Baruch A. "The Macro-Allocation of Health Care Resources." In Health Care Systems. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-7807-3_12.

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Bevan, Gwyn, Harold Copeman, John Perrin, and Rachel Rosser. "Allocating Resources Equitably." In Health Care. Routledge, 2022. http://dx.doi.org/10.4324/9781003278122-8.

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Bevan, Gwyn, Harold Copeman, John Perrin, and Rachel Rosser. "The Processes of Resource Allocation." In Health Care. Routledge, 2022. http://dx.doi.org/10.4324/9781003278122-4.

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Rizzo, John A., and Jody L. Sindelar. "Medical Practice Guidelines and the Efficient Allocation of Resources." In Health Care Policy and Regulation. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2219-5_10.

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Cassel, Christine K., and Ruth B. Purtilo. "Justice and the Allocation of Health Care Resources." In Geriatric Medicine. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4757-2093-8_47.

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Jecker, Nancy S. "Justice and the Allocation of Health Care Resources." In Geriatric Medicine. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2705-0_65.

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Wowk, Brian. "Health Care in the Year 2050." In ICU Resource Allocation in the New Millennium. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3866-3_39.

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Brandeau, Margaret L. "Allocating Resources to Control Infectious Diseases." In Operations Research and Health Care. Springer US, 2005. http://dx.doi.org/10.1007/1-4020-8066-2_17.

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Crippen, David W. "The Fair and Equitable Health Care Act." In ICU Resource Allocation in the New Millennium. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3866-3_31.

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Conference papers on the topic "Allocation of health care resources"

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Coman, Ecaterina, and Radu Tudorica. "LEAN SOLUTIONS IN CASE MANAGEMENT IN SOCIAL WORK." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s07/42.

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The transition to the market economy and the recalibration of budgets, financial independency and the transfer of responsibility to the local level in the management of social work budgets have caused concerns for the rational spending of money intended for these activities. We are still very far from managing these budgets fairly and efficiently, but the direction is very clear: the money will be little and must be used efficiently. The health and economic crisis that followed should lead to efficiency in the first phase and then to effectiveness and sustainability in the second. This require

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Japarova, Damira. "Allocation and Use of Financial Resources in Health Care in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01830.

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TThe distribution of the limited financial resources in the state hospitals in Kyrgyzstan is uneven. The problems associated with the current method of distribution of resources: the poor quality of services at the level of polyclinics and high hospitalization rates that require an evaluation of the budget allocation of healthcare organizations operating in the Single Payer system. In order to improve the efficiency of resource use it is suggested to review the principles of allocation of resources to the primary level of patient care.

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Puustjärvi, Juha, and Leena Puustjärvi. "Transactional allocation of clinical resources for health care processes." In the 11th International Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1806338.1806437.

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Scott, Andrea K. "Allocation of resources within a general scheme of product development." In Health Care Technology Policy II: The Role of Technology in the Cost of Health Care: Providing the Solutions, edited by Warren S. Grundfest. SPIE, 1995. http://dx.doi.org/10.1117/12.225348.

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Kenne, Modeste Mefenya, Prasanna Date, Ronald T. Eguchi, ZhengHui Hu, Julie Rousseau, and Nalini Venkatasubramanian. "iFair: Achieving Fairness in the Allocation of Scarce Resources for Senior Health Care." In 2024 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2024. http://dx.doi.org/10.1109/smartcomp61445.2024.00025.

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Alkaabi, Rashed, A. o. El Halim, and Samy Mahmoud. "Improving Resource Allocation Efficiency in Health Care Delivery Systems." In 2006 Canadian Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/ccece.2006.277283.

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Japarova, Damira. "Health Economics: Problems and Prospects in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2012. http://dx.doi.org/10.36880/c03.00404.

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Given paper studied the health care system in Kyrgyzstan during the transition period to the market . The market of medical services in the Kyrgyz Republic is in the state of early childhood. It was studied the sources and principles of allocation of financial resources in health care system. The main problems are shown as a lack of financial resources and inefficient use of them, a lack of motivation of quality health care. Therefore related proposals to improve state regulation of health care in Kyrgyzstan were given.

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Joshi, Vihar, Dinkar Mukhedkar, Swamy Laxminarayan, and Germano Lambert Torres. "Resource allocation for health care in Canada: philosophy, ethics, and law." In Calg - DL tentative, edited by Rangaraj M. Rangayyan. SPIE, 1990. http://dx.doi.org/10.1117/12.23880.

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Iyekekpolo, E., E. Ekoko, E. Osa, D. Ikhu-Omoregbee, and P. Orukpe. "Eliminating Bias in Artificial Intelligence (AI) Generated Predictions and Plans for Resource Allocation and Management in Hospitals." In International Conference on Artificial Intelligence and Robotics. Machine Intelligence Research Group (MIRG), 2024. https://doi.org/10.52968/15064063.

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In this paper, we succinctly examine and proffer solutions to the problem of bias likely to be encountered in the use of Artificial Intelligence for making predictions and plans on the resourcrequired for efficient operation of a hospital. The major types of biases are presented along with their likely negative effect(s) on hospital resource planning and allocation, then broad strategies and solutions are proffered to counter their negative impact on resource predictions and plans. The solutions proffered are important to the effective management of resources in health-care facilities and can

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Meparishvili, Davit, Manana Maridashvili, and Ekaterine Sanikidze. "FINANCING AND EFFECTIVENESS OF GEORGIAN HEALTHCARE SYSTEM." In Proceedings of the XXXI International Scientific and Practical Conference. RS Global Sp. z O.O., 2021. http://dx.doi.org/10.31435/rsglobal_conf/30082021/7650.

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Assessing the effectiveness of the Georgian healthcare system in the modern period and conditions, takes into account the results achieved, as well as the main problems that hinder the effective functioning of this important field; At the same time, it is important to develop the main directions of their solution, where we consider the improvement of the state policy-making process during the implementation of reforms in the healthcare sector, which should take into account the state of health of the population, quality of healthcare services, results, health care; furthermore disease preventi

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Reports on the topic "Allocation of health care resources"

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Yaisawarng, Saowaros, Preecha Asavadachanukorn, and Suthathip Yaisawarng. Effects of Thai universal health care coverage on cost efficiency of publicly owned hospitals. Chulalongkorn University, 2004. https://doi.org/10.58837/chula.res.2004.26.

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The paper assesses effects on cost efficiency of the Thai Universal Health Care (UC) program, fully implemented in the fiscal year 2002. Using pre-UC (FY 2000-2001) and UC (FY 2002) samples of regional and general hospitals, the paper estimates stochastic cost frontiers and computes efficiency scores for individual hospitals. Results reveal that hospital respond to an absolute reduction in the capitation-based funding allocation method by improving their operation and management of health care resources. Health care costs could have been potentially reduced between 13.4% and 18.9% had hospital

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Walsh, Brendan, and Leonie Hill. An analysis of Population-Based Resource Allocation for health and social care in Ireland. Economic and Social Research Institute, 2024. http://dx.doi.org/10.26504/rs194.

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Góngora, Pamela, Marcela Distrutti, Úrsula Giedion, et al. Smart Spending for Health: Social Protection and Health Division Regional Policy Dialogue Report 2023. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0005534.

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The "Smart Spending for Health" Regional Policy Dialogue, hosted by the IDB's Social Protection and Health Department in Washington D.C. from October 2-4, brought together more than 120 leaders to address the efficiency of health spending in Latin America and the Caribbean. In the face of fiscal constraints and increasing demands, the Dialogue highlighted the strategic allocation of health resources as a way to achieve health goals within existing budgets. With a focus on fostering collaboration between ministries of finance and health, the event navigated through optimizing spending on primar

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Atal, Juan Pablo, Úrsula Giedion, Catalina Gutiérrez, and Natalia Jorgensen. What is the Opportunity Cost of Financing Branded Drugs?: The case of the Dominican Republic. Inter-American Development Bank, 2023. https://doi.org/10.18235/0012896.

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The availability of numerous beneficial healthcare technologies presents both an opportunity and a challenge: while they have the potential to improve health outcomes, financial constraints limit their widespread adoption. This challenge is further exacerbated by an aging population and shifting epidemiological trends, which place increasing pressure on global healthcare expenditures. To ensure that rising healthcare costs translate into meaningful improvements in population health, it is essential that spending remains sustainable, does not displace other critical investments, and aligns with

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Baker, Stuart W. Assessment of the Utility of Episodes of Illness as a Tool for Ambulatory Resource Allocation within the United States Military Health Care System,. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada252425.

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Tipton, Kelley, Brian F. Leas, Emilia Flores, et al. Impact of Healthcare Algorithms on Racial and Ethnic Disparities in Health and Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer268.

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Objectives. To examine the evidence on whether and how healthcare algorithms (including algorithm-informed decision tools) exacerbate, perpetuate, or reduce racial and ethnic disparities in access to healthcare, quality of care, and health outcomes, and examine strategies that mitigate racial and ethnic bias in the development and use of algorithms. Data sources. We searched published and grey literature for relevant studies published between January 2011 and February 2023. Based on expert guidance, we determined that earlier articles are unlikely to reflect current algorithms. We also hand-se

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Chandra, Amitabh, Pragya Kakani, and Adam Sacarny. Hospital Allocation and Racial Disparities in Health Care. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w28018.

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Rycroft, Taylor, Sabrina Larkin, Alexander Ganin, et al. A framework and pilot tool for the risk-based prioritization and grouping of nano-enabled consumer products. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41721.

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The use of engineered nanomaterials (ENMs) in consumer products has expanded rapidly, revealing both innovative improvements over conventional materials, and the potential for novel risks to human health and the environment. As the number of new nano-enabled products and the volume of toxicity data on ENMs continues to grow, regulatory agencies like the U.S. Consumer Product Safety Commission (CPSC) – a small, independent federal agency responsible for protecting consumers from unreasonable risks associated with product use – will require the ability to screen and group a diverse array of nano

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Vong, Mun. Progress and Challenges of Deconcentration in Cambodia: The Case of Urban Solid Waste Management. Cambodia Development Resource Institute, 2016. https://doi.org/10.64202/wp.110.201612.

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Rapid population expansion and urbanisation resultant of economic growth have greatly increased waste generation and associated public health issues. In light of these challenges, the Ministry of Environment jointly with the Ministry of Interior and Ministry of Economy and Finance issued in 2015 the inter-ministerial prakas on the Usage of Environmental Sanitation Service Fund with an initial amount of USD5 million allocated between 26 municipalities across the country. The allocation set the stage for the transfer of the solid waste management function to municipal and district administration

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Gutiérrez, Catalina, and Úrsula Giedion. How Many Healthy Life years could Countries in Latin America and the Caribbean Gain with a Better Allocation of Pharmaceutical Spending?: Case Studies for Chile, Colombia, and the Dominican Republic. Inter-American Development Bank, 2023. https://doi.org/10.18235/0005161.

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Health spending is increasing globally due to demographic and epidemiological changes, rising demand for services driven by higher incomes, aging populations, and the emergence of expensive new health technologies. In Latin America and the Caribbean (LAC), health expenditure has risen from 6.6% to 7.9% of GDP over the past two decades. By 2030, it is expected to increase by another 2 percentage points. This projection excludes additional investments required to strengthen health systems post-pandemic. Given fiscal constraints caused by the pandemics economic impact, rising debt, and macroecono

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