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

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Huang, Mian, Jian Wang, Stephen Nicholas, Elizabeth Maitland, and Ziyue Guo. "Development, Status Quo, and Challenges to China’s Health Informatization During COVID-19: Evaluation and Recommendations." Journal of Medical Internet Research 23, no. 6 (2021): e27345. http://dx.doi.org/10.2196/27345.

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By applying advanced health information technology to the health care field, health informatization helps optimize health resource allocation, improve health care services, and realize universal health coverage. COVID-19 has tested the status quo of China’s health informatization, revealing challenges to the health care system. This viewpoint evaluates the development, status quo, and practice of China’s health informatization, especially during COVID-19, and makes recommendations to address the health informatization challenges. We collected, assessed, and evaluated data on the development of

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12

De Micheli, A. "Waste in Health Care." Journal of AMD 22, no. 4 (2019): 245. http://dx.doi.org/10.36171/jamd19.22.4.11.

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Waste in a health service is every activity, behavior, asset and service that, using resources, does not produce results in terms of health, well-being or quality of life. According to the OECD, in different countries, about 20% of health expenditure makes little or no contribution to improving people’s health. Avoiding waste is theoretically easy: health interventions delivered according to a principle of appropriateness are not wasting. However, there are multiple obstacles. Waste has, in fact, different causes: inappropriateness, use of ineffective health interventions, over- and under- use

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13

Strauss, Ronald P. "Resource Allocation, Health Policy, and Rationing Craniofacial Care." Cleft Palate-Craniofacial Journal 32, no. 6 (1995): 515–19. http://dx.doi.org/10.1597/1545-1569_1995_032_0515_rahpar_2.3.co_2.

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The United States allocates health care without an overt system of rationing. This article analyzes the forces that guide resource allocation to craniofacial care. Various possible allocation systems are reviewed for how decision makers might evaluate proposed programs for legislative funding. Using a case-based exercise, readers are asked to weigh the potential costs and benefits of six health and social programs. These programs are also systematically examined for factors that are likely to affect resource allocation decisions. Eleven factors that affect decision-making are utilized in the a

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14

Bravo, Fernanda, Marcus Braun, Vivek Farias, et al. "Optimization-driven framework to understand health care network costs and resource allocation." Health Care Management Science 24, no. 3 (2021): 640–60. http://dx.doi.org/10.1007/s10729-021-09565-1.

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AbstractIn the last several decades, the U.S. Health care industry has undergone a massive consolidation process that has resulted in the formation of large delivery networks. However, the integration of these networks into a unified operational system faces several challenges. Strategic problems, such as ensuring access, allocating resources and capacity efficiently, and defining case-mix in a multi-site network, require the correct modeling of network costs, network trade-offs, and operational constraints. Unfortunately, traditional practices related to cost accounting, specifically the allo

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a, Kavita. "APPLICATION OF THE GOAL PROGRAMMING METHOD IN HEALTH CARE." International Journal of Advanced Research 10, no. 03 (2022): 474–78. http://dx.doi.org/10.21474/ijar01/14409.

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The Subject is the application of goal programming to the planning of medical care. The paper, in particular, introduces a resource allocation model for hospital management based on goal programming. In a healthâ€“care agency with insufficient human resources, the Goal Programming (GP) model will help in strategic planning and shipment. This study aims to delegate staff to the correct shift hours so that management can achieve the goal of lowering overall payroll costs while keeping patients happy. The data generated by a Midwest-based health-care agency is used to demonstrate a Goal Programmi

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16

Ransom, Hellen, and John M. Olsson. "Allocation of Health Care Resources: Principles for Decision-making." Pediatrics in Review 38, no. 7 (2017): 320–29. http://dx.doi.org/10.1542/pir.2016-0012.

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17

Sanghyuk Park. "Macro-allocation of Health Care Resources and Democratic Legitimacy." Korean Journal of Medical Ethics 14, no. 2 (2011): 145–56. http://dx.doi.org/10.35301/ksme.2011.14.2.145.

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18

Denburg, Avram. "Social values and cancer funding priorities: Empirical evidence for cancer policy." Journal of Clinical Oncology 37, no. 15_suppl (2019): e18352-e18352. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e18352.

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e18352 Background: Achieving value in health care requires knowledge of public values and priorities. To better understand public values for resource allocation on cancer care, we conducted a population-based stated preference survey with a nested randomized controlled moral reasoning intervention. Our objective was to generate evidence to inform economic evaluation and policymaking on cancer care priority-setting and payment reform in developed health systems. Methods: We conducted a population-based stated preference survey of societal views on the prioritization of health resources between

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19

Newbold, K. Bruce, John Eyles, Stephen Birch, and Anne Spencer. "Allocating resources in health care: alternative approaches to measuring needs in resource allocation formula in Ontario." Health & Place 4, no. 1 (1998): 79–89. http://dx.doi.org/10.1016/s1353-8292(97)00025-7.

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20

MAYO, THOMAS W. "Allocating health care resources." Pediatric Infectious Disease Journal 10, no. 3 (1991): 175–78. http://dx.doi.org/10.1097/00006454-199103000-00001.

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21

Callahan, Daniel. "ALLOCATING HEALTH CARE RESOURCES." American Journal of Physical Medicine & Rehabilitation 72, no. 2 (1993): 101–5. http://dx.doi.org/10.1097/00002060-199304000-00009.

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22

Ferenz, Leonard. "Allocating health care resources." Social Science & Medicine 42, no. 4 (1996): 633–34. http://dx.doi.org/10.1016/s0277-9536(96)90383-4.

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23

Baltikauskas, Ida L. "Allocating Health Care Resources." Teaching Philosophy 18, no. 4 (1995): 379–81. http://dx.doi.org/10.5840/teachphil199518459.

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24

Carson, Rachel C., Brian Forzley, Sarah Thomas, et al. "Balancing the Needs of Acute and Maintenance Dialysis Patients during the COVID-19 Pandemic." Clinical Journal of the American Society of Nephrology 16, no. 7 (2021): 1122–30. http://dx.doi.org/10.2215/cjn.07460520.

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The COVID-19 pandemic continues to strain health care systems and drive shortages in medical supplies and equipment around the world. Resource allocation in times of scarcity requires transparent, ethical frameworks to optimize decision making and reduce health care worker and patient distress. The complexity of allocating dialysis resources for both patients receiving acute and maintenance dialysis has not previously been addressed. Using a rapid, collaborative, and iterative process, BC Renal, a provincial network in Canada, engaged patients, doctors, ethicists, administrators, and nurses to

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25

Wu, Hui-Ching. "Priority Criteria for Community-Based Care Resource Allocation for Health Equity: Socioeconomic Status and Demographic Characteristics in the Multicriteria Decision-Making Method." Healthcare 10, no. 7 (2022): 1358. http://dx.doi.org/10.3390/healthcare10071358.

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SDG 10 stipulates that inequality within and between countries can be reduced by governmental policies that focus on the allocation of fiscal resources and social protection strategies to improve equity. The sustainability of community-based care stations is a crucial support network for achieving the goal of active aging. Unequal allocation would occur only if the populations of administrative districts are considered. Comprehensive policies, in accordance with data and sustainable goals, must consider multiple factors. Hence, this study used multicriteria decision making (MCDM) to investigat

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26

Okorafor, O. A., and S. Thomas. "Protecting resources for primary health care under fiscal federalism: options for resource allocation." Health Policy and Planning 22, no. 6 (2007): 415–26. http://dx.doi.org/10.1093/heapol/czm032.

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27

Weale, Albert. "How Much is Due to Health Care Providers?" Royal Institute of Philosophy Lecture Series 23 (March 1988): 97–109. http://dx.doi.org/10.1017/s1358246100003891.

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How much by way of economic reward is due to health care providers?Although this problem usually presents itself as a practical matter of policy, it has buried within it a number of philosophical issues, for it can be regarded as a question in the theory of economic justice. The formal principle of justice is that we should render persons what is due to them. But on what consideration in the case of health care providers can we make an assessment of what is due?The answer we give to this question has significant implications for the ethical appraisal of the allocation of resources in the healt

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Weale, Albert. "How Much is Due to Health Care Providers?" Royal Institute of Philosophy Lecture Series 23 (March 1988): 97–109. http://dx.doi.org/10.1017/s0957042x00003898.

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How much by way of economic reward is due to health care providers?Although this problem usually presents itself as a practical matter of policy, it has buried within it a number of philosophical issues, for it can be regarded as a question in the theory of economic justice. The formal principle of justice is that we should render persons what is due to them. But on what consideration in the case of health care providers can we make an assessment of what is due?The answer we give to this question has significant implications for the ethical appraisal of the allocation of resources in the healt

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29

Brown, N., and F. Oyebode. "Resource allocation for mental health care." British Journal of Psychiatry 176, no. 3 (2000): 299. http://dx.doi.org/10.1192/bjp.176.3.299.

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30

Østerdal, Lars Peter. "Axioms for health care resource allocation." Journal of Health Economics 24, no. 4 (2005): 679–702. http://dx.doi.org/10.1016/j.jhealeco.2004.11.008.

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31

Hadorn, David C. "The Health Care Resource Allocation Debate." JAMA 266, no. 23 (1991): 3328. http://dx.doi.org/10.1001/jama.1991.03470230086035.

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32

Liss, Per-Erik. "Allocation of scarce resources in health care: values and concepts." Texto & Contexto - Enfermagem 15, spe (2006): 125–34. http://dx.doi.org/10.1590/s0104-07072006000500014.

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In many countries, a gap exists between the population's need for health care and available resources. These nations have attempted to eliminate or reduce the gap through such activities as improving efficiency and narrowing responsibilities. Since these measures have proven insufficient, decisions must be made regarding how to best use the scarce resources. The priority-setting and rationing processes involve key decisions in the sense that they have consequences for people's health and quality of life and they should therefore be rational and based on solid grounds. This means that the decis

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33

Stinnett, Aaron A., and A. David Paltiel. "Mathematical programming for the efficient allocation of health care resources." Journal of Health Economics 15, no. 5 (1996): 641–53. http://dx.doi.org/10.1016/s0167-6296(96)00493-6.

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34

Kenny, Danelle, Kim-Huong Nguyen, Zachary Breig, Lana Friesen, and Tracy Comans. "Decisions, Decisions: Observations of Resource Allocation Under Consumer-Directed Care." Healthcare 13, no. 5 (2025): 516. https://doi.org/10.3390/healthcare13050516.

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Introduction: Resource trade-offs are a universal feature of decision-making in healthcare. Public funding for home care is an example of a complex resource allocation decision, requiring balance between the needs of the individual and the capacity of the welfare system to meet those needs across the population. Under consumer-directed care policies, responsibility for resource allocation decisions rests with the care recipient, but there is no existing measure of allocative efficiency resulting from these consumer-led decisions. Our research considers resource allocation decisions by home car

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Lister, John. "Resource Allocation: Education for the Rationing of Care." International Journal of Technology Assessment in Health Care 3, no. 1 (1987): 91–100. http://dx.doi.org/10.1017/s0266462300011776.

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In considering the allocation of resources for health it is necessary to make a distinction between the provision of public and environmental health services and the provision of medical care by physicians and surgeons for those patients who seek treatment.

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36

Urquhart, Bonnie, Craig Mitton, and Stuart Peacock. "Introducing Priority Setting and Resource Allocation in Home and Community Care Programs." Journal of Health Services Research & Policy 13, no. 1_suppl (2008): 41–45. http://dx.doi.org/10.1258/jhsrp.2007.007064.

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Objective To use evidence from research to identify and implement priority setting and resource allocation that incorporates both ethical practices and economic principles. Method Program budgeting and marginal analysis (PBMA) is based on two key economic principles: opportunity cost (i.e. doing one thing instead of another) and the margin (i.e. resource allocation should result in maximum benefit for available resources). An ethical framework for priority setting and resource allocation known as Accountability for Reasonableness (A4R) focuses on making sure that resource allocations are based

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37

Osoro, Alfred A., Edwine B. Atitwa, and John K. Moturi. "Universal Health Coverage." World Journal of Social Science Research 7, no. 4 (2020): p14. http://dx.doi.org/10.22158/wjssr.v7n4p14.

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Universal Health Coverage has attracted global attention as an ideal vehicle that will drive health care services to the individuals, families, and communities globally. Good health systems are capable of serving the needs of entire populations, including the availability of infrastructure, human resources, health technologies, and medicines. This study seeks to identify the barriers and challenges which have hindered the provision of basic health care to communities and suggest ways of addressing some of them. Literature search reviewed 40 materials which were more relevant. Results revealed

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Gurgel Júnior, Garibaldi Dantas, Eliane Maria Medeiros Leal, Sydia Rosana de Araújo Oliveira, Francisco de Assis da Silva Santos, Islândia Maria Carvalho de Sousa, and Finn Diderichsen. "Resource allocation for equity in Brazilian health care: a methodological model." Saúde em Debate 43, no. 121 (2019): 329–40. http://dx.doi.org/10.1590/0103-1104201912103.

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ABSTRACT It is a fundamental requirement of governments that they allocate resources to public services among institutions or populations that are potential competitors for funding. In Brazil, a country with clear social inequalities, equitable allocation of resources in the Unified Health System (SUS) poses a particular challenge. The present study proposes an individual-level matrix model for allocating health resources in the SUS based on data from the National Health Survey (PNS) 2013. This model is founded on a matrix of the following variables: age, sex, education, employment and income

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39

Gunn, M. "ORTHOPAEDIC SURGEONS AND RESOURCE ALLOCATION DECISION-MAKING." Orthopaedic Proceedings 105-B, SUPP_3 (2023): 23. http://dx.doi.org/10.1302/1358-992x.2023.3.023.

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Escalating health care expenditure worldwide is driving the need for effective resource decision-making, with medical practitioners increasingly making complex resource decisions within the context of patient care. Despite raising serious legal and ethical issues in practice, this has attracted little attention in Australia, or internationally. In particular, it is unknown how orthopaedic surgeons perceive their obligations to the individual patient, and the wider community, when rationing care, and how they reconcile competing obligations. This research explores legal and ethical consideratio

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40

Liu, Lu. "How do Socioeconomic Factors Shape Health Inequalities?" International Journal of Social Sciences and Public Administration 6, no. 3 (2025): 167–74. https://doi.org/10.62051/ijsspa.v6n3.24.

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BACKGROUND: Globally, more than half of the population still lacks access to basic health care, and economic status is one of the key factors influencing this. Morbidity and mortality rates of non-communicable diseases (NCDs) and the low survival and high disability rates of out-of-hospital cardiac arrest (OHCA) are closely related to inequitable allocation of healthcare resources. OBJECTIVE: To analyse the broad impact of socio-economic factors on the health of the population, especially the health disparities caused by regional inequalities in the allocation of healthcare resources in Shaoxi

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41

Wu, Xueling, Ruiqi Mao, and Xiaojia Guo. "Equilibrium of Tiered Healthcare Resources during the COVID-19 Pandemic in China: A Case Study of Taiyuan, Shanxi Province." International Journal of Environmental Research and Public Health 19, no. 12 (2022): 7035. http://dx.doi.org/10.3390/ijerph19127035.

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COVID-19 has caused more than 500 million infections and 6 million deaths. Due to a continuous shortage of medical resources, COVID-19 has raised alarm about medical and health resource allocation in China. A balanced spatial distribution of medical and health resources is a key livelihood issue in promoting the equalization of health services. This paper explores the spatial allocation equilibrium of two-tier medical and health resources and its influencing factors in Taiyuan. Using extracted POIs of medical and health resources of AMAP, we evaluated the spatial quantitative characteristics t

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42

Gandjour, A., and K. W. Lauterbach. "Allocating resources in health care." HEPAC Health Economics in Prevention and Care 1, no. 2 (2000): 116–21. http://dx.doi.org/10.1007/s101980070005.

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Jakhongirov, Ilimdorjon, Akmal Khudaykulov, Shokhida Abdurakhmanova, and Dilnoza Ruzikulova. "An empirical examination of multifactor linkages for the modeling and forecasting of health care management operations." E3S Web of Conferences 538 (2024): 02030. http://dx.doi.org/10.1051/e3sconf/202453802030.

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The current research empirically examines the connections between several factors in healthcare management operations in order to improve the ability to model and anticipate outcomes. This research incorporates demographic trends, illness incidence, healthcare infrastructure, and socio-economic influences to address the intricate nature of healthcare administration, which encompasses patient care, resource allocation, staff management, and financial planning. The study used a multifactor econometric model to examine the correlation between the rate of newly diagnosed patients per 100,000 popul

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Ahmed, Ghadah Abdulhadi, Bayan Saleh Binmahfouz, Abrar Khalid Hambishi, Nasser Khalaf Al Dawsari, Lulwah Ibrahim Alashi, and Munirah Ashwan Alanazi. "Policy and Ethical Considerations in the Allocation of Healthcare Resources." Journal of Healthcare Sciences 04, no. 09 (2024): 430–34. https://doi.org/10.52533/johs.2024.40912.

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Healthcare resource allocation is a critical challenge faced by policymakers and healthcare providers worldwide. With limited resources and increasing demands due to factors like aging populations, chronic disease prevalence, and technological advancements, decisions on how to distribute these resources have profound ethical and practical implications. Equity and fairness are fundamental principles guiding these decisions, aiming to ensure that all individuals, regardless of socio-economic status or health condition, have access to the care they need. However, balancing these principles with t

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45

Kristensen, Troels, Kim Rose Olsen, Camilla Sortsø, Charlotte Ejersted, Janus Laust Thomsen, and Anders Halling. "Resources allocation and health care needs in diabetes care in Danish GP clinics." Health Policy 113, no. 1-2 (2013): 206–15. http://dx.doi.org/10.1016/j.healthpol.2013.09.006.

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46

Tao, Yuqing, Wen Cheng, and Sijie Zou. "Priority Setting in Health Care with Disease and Treatment Risks." Journal of Systems Science and Information 6, no. 6 (2018): 552–62. http://dx.doi.org/10.21078/jssi-2018-552-11.

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Abstract This paper deals with the issue of priority setting in health care under uncertainties about the severity of the illness and the effectiveness of medical treatment. We examine the effect of a disease uncertainty (a treatment uncertainty) on the allocation of health care resources in the presence of a treatment risk (a disease risk) and identify preference conditions under which the social planner allocates more resources to higher risk population. We allow for the simultaneous presence of two risks and investigate the joint effect of two-source uncertainties on health care allocation

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47

Kissoon, Niranjan, and Peter W. Skippen. "Allocation of Resources During Crisis." Pediatric Critical Care Medicine 16, no. 7 (2015): 682–84. http://dx.doi.org/10.1097/pcc.0000000000000483.

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48

Yin, Gaofeng, Hanning Song, Jian Wang, Stephen Nicholas, and Elizabeth Maitland. "The COVID-19 Run on Medical Resources in Wuhan China: Causes, Consequences and Lessons." Healthcare 9, no. 10 (2021): 1362. http://dx.doi.org/10.3390/healthcare9101362.

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The COVID-19 run on medical resources crashed Wuhan’s medical care system, a medical disaster duplicated in many countries facing the COVID-19 pandemic. In a novel approach to understanding the run on Wuhan’s medical resources, we draw from bank run theory to analyze the causes and consequences of the COVID-19 run on Wuhan’s medical resources and recommend policy changes and government actions to attenuate runs on medical resources in the future. Like bank runs, the cause of the COVID-19 medical resource run was rooted in China’s local medical resource context and a sudden realignment of expec

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49

Zhang, Yijie, Mingli Zhang, Haiju Hu, and Xiaolong He. "Spatio-Temporal Characteristics of the Supply and Demand Coupling Coordination of Elderly Care Service Resources in China." International Journal of Environmental Research and Public Health 19, no. 16 (2022): 10397. http://dx.doi.org/10.3390/ijerph191610397.

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The current situation and future development of the supply and demand coupling coordination of elderly care service resources reflect the level of elderly care service resource allocation. Whether factors affecting its development can be found is the key to promote the accurate allocation of elderly care service. Based on the coupling coordination model, the supply and demand of elderly care service resources, the development circumstance and the spatio-temporal evolution of supply and demand coupling coordination are analyzed in this paper by using the data of the elderly care service resourc

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50

Horne, John M. "Healthcare in Rural Manitoba: Resources and Related Issues of Access." Healthcare Management Forum 2, no. 2 (1989): 6–11. http://dx.doi.org/10.1016/s0840-4704(10)61368-3.

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This paper reviews the existing allocation of healthcare resources to and within rural Manitoba. The geographic distribution of hospital, medical and long-term care resources is described and discussed in relation to widely held perceptions of continuing problems in access to publicly insured care among residents of rural communities. Opportunities for more effective and efficient allocation of resources are identified, including various arrangements for sharing both facilities and personnel between communities.

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