IDEAS home Printed from https://ideas.repec.org/a/kap/hcarem/v12y2009i1p80-98.html
   My bibliography  Save this article

A deterministic model of home and community care client counts in British Columbia

Author

Listed:
  • W. Hare
  • A. Alimadad
  • H. Dodd
  • R. Ferguson
  • A. Rutherford

Abstract

No abstract is available for this item.

Suggested Citation

  • W. Hare & A. Alimadad & H. Dodd & R. Ferguson & A. Rutherford, 2009. "A deterministic model of home and community care client counts in British Columbia," Health Care Management Science, Springer, vol. 12(1), pages 80-98, March.
  • Handle: RePEc:kap:hcarem:v:12:y:2009:i:1:p:80-98
    DOI: 10.1007/s10729-008-9082-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10729-008-9082-7
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10729-008-9082-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. H. Xie & T. J. Chaussalet & P. H. Millard, 2005. "A continuous time Markov model for the length of stay of elderly people in institutional long‐term care," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 51-61, January.
    2. Zhou Yang & Edward C. Norton & Sally C. Stearns, 2003. "Longevity and Health Care Expenditures," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 58(1), pages 2-10.
    3. Sheps, S.B. & Reid, R.J. & Barer, M.L. & Krueger, H. & McGrail, K.M. & Green, B. & Evans, R.G. & Hertzman, C., 2000. "Hospital Downsizing and Trends in Health Care Use Among Elderly People in British Columbia," Centre for Health Services and Policy Research 2000:10, University of British Columbia - Centre for Health Services and Policy Research..
    4. E. El‐Darzi & C. Vasilakis & T. Chaussalet & P.H. Millard, 1998. "A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in a hospital geriatric department," Health Care Management Science, Springer, vol. 1(2), pages 143-149, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cui Xiaodong & Zheng Yuhua, 2018. "Forecasting demand for long-term care based on multistate piecewise constant Markov process," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 10(1), pages 15-31, April.
    2. Liangwen Zhang & Sijia Fu & Ya Fang, 2020. "Prediction of the Number of and Care Costs for Disabled Elderly from 2020 to 2050: A Comparison between Urban and Rural Areas in China," Sustainability, MDPI, vol. 12(7), pages 1-13, March.
    3. Midgley, Gerald & Johnson, Michael P. & Chichirau, George, 2018. "What is Community Operational Research?," European Journal of Operational Research, Elsevier, vol. 268(3), pages 771-783.
    4. Yue Zhang & Martin L. Puterman & Matthew Nelson & Derek Atkins, 2012. "A Simulation Optimization Approach to Long-Term Care Capacity Planning," Operations Research, INFORMS, vol. 60(2), pages 249-261, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrew S. Gordon & Adele H. Marshall & Mariangela Zenga, 2018. "Predicting elderly patient length of stay in hospital and community care using a series of conditional Coxian phase-type distributions, further conditioned on a survival tree," Health Care Management Science, Springer, vol. 21(2), pages 269-280, June.
    2. Noa Zychlinski & Avishai Mandelbaum & Petar Momčilović & Izack Cohen, 2020. "Bed Blocking in Hospitals Due to Scarce Capacity in Geriatric Institutions—Cost Minimization via Fluid Models," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 396-411, March.
    3. Wanlu Gu & Neng Fan & Haitao Liao, 2019. "Evaluating readmission rates and discharge planning by analyzing the length-of-stay of patients," Annals of Operations Research, Springer, vol. 276(1), pages 89-108, May.
    4. C Pelletier & T J Chaussalet & H Xie, 2005. "A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 144-152, February.
    5. Moura, Ana, 2022. "Do subsidized nursing homes and home care teams reduce hospital bed-blocking? Evidence from Portugal," Journal of Health Economics, Elsevier, vol. 84(C).
    6. Chari, A.V. & Valli, Elsa, 2021. "The effect of subsidized childcare on the supply of informal care: Evidence from public kindergarten provision in the US," Journal of Health Economics, Elsevier, vol. 77(C).
    7. Yuta Kanai & Hideaki Takagi, 2021. "Markov chain analysis for the neonatal inpatient flow in a hospital," Health Care Management Science, Springer, vol. 24(1), pages 92-116, March.
    8. Vincenzo Atella & Valentina Conti, 2013. "The effect of age and time to death on health care expenditures: the Italian experience," CEIS Research Paper 267, Tor Vergata University, CEIS, revised 12 Nov 2013.
    9. Norén, Anna, 2020. "Sick of my parents? Consequences of parental ill health on adult children," Working Paper Series 2020:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    10. de Meijer, Claudine & Koopmanschap, Marc & d' Uva, Teresa Bago & van Doorslaer, Eddy, 2011. "Determinants of long-term care spending: Age, time to death or disability?," Journal of Health Economics, Elsevier, vol. 30(2), pages 425-438, March.
    11. Yang, Y., 2014. "Modeling health and mortality dynamics, and their effects on public finance," Other publications TiSEM c0acd15f-e715-46b1-b146-4, Tilburg University, School of Economics and Management.
    12. Payne, Greg & Laporte, Audrey & Foot, David K. & Coyte, Peter C., 2009. "Temporal trends in the relative cost of dying: Evidence from Canada," Health Policy, Elsevier, vol. 90(2-3), pages 270-276, May.
    13. Cockx, Lara & Francken, Nathalie, 2014. "Extending the concept of the resource curse: Natural resources and public spending on health," Ecological Economics, Elsevier, vol. 108(C), pages 136-149.
    14. S McClean & P Millard, 2007. "Where to treat the older patient? Can Markov models help us better understand the relationship between hospital and community care?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 255-261, February.
    15. Ishizaki, Tatsuro & Imanaka, Yuichi & Oh, Eun-Hwan & Sekimoto, Miho & Hayashida, Kenshi & Kobuse, Hiroe, 2008. "Association between patient age and hospitalization resource use in a teaching hospital in Japan," Health Policy, Elsevier, vol. 87(1), pages 20-30, July.
    16. Maciej Lis, 2015. "Red Herring in the Vistula River: Time-to-Death and Health Care Expenditure," IBS Working Papers 13/2015, Instytut Badan Strukturalnych.
    17. de Meijer C & Koopmanschap M & Bago d & Uva T & van Doorslaer E, 2009. "Time To Drop Time-To-Death? –Unravelling The Determinants of LTC Spending In The Netherlands," Health, Econometrics and Data Group (HEDG) Working Papers 09/33, HEDG, c/o Department of Economics, University of York.
    18. Astolfi, Roberto & Lorenzoni, Luca & Oderkirk, Jillian, 2012. "Informing policy makers about future health spending: A comparative analysis of forecasting methods in OECD countries," Health Policy, Elsevier, vol. 107(1), pages 1-10.
    19. Alessandra Cepparulo & Luisa Giuriato, 2022. "The residential healthcare for the elderly in Italy: some considerations for post-COVID-19 policies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 671-685, June.
    20. Afschin Gandjour, 2009. "Aging diseases – do they prevent preventive health care from saving costs?," Health Economics, John Wiley & Sons, Ltd., vol. 18(3), pages 355-362, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:hcarem:v:12:y:2009:i:1:p:80-98. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.