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Measuring appropriate use of acute beds: A systematic review of methods and results

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  • McDonagh, Marian S.
  • Smith, David H.
  • Goddard, Maria

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  • McDonagh, Marian S. & Smith, David H. & Goddard, Maria, 2000. "Measuring appropriate use of acute beds: A systematic review of methods and results," Health Policy, Elsevier, vol. 53(3), pages 157-184, October.
    • Handle: RePEc:eee:hepoli:v:53:y:2000:i:3:p:157-184
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    References listed on IDEAS

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    1. Styrborn, Karin & Thorslund, Mats, 1993. "`Bed-blockers': Delayed discharge of hospital patients in a nationwide perspective in Sweden," Health Policy, Elsevier, vol. 26(2), pages 155-170, December.
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    Cited by:

    1. Gansel, Yannis & Danet, François & Rauscher, Catherine, 2010. "Long-stay inpatients in short-term emergency units in France: A case study," Social Science & Medicine, Elsevier, vol. 70(4), pages 501-508, February.
    2. Christopher G. Hudson, 2021. "Benchmarks for Needed Psychiatric Beds for the United States: A Test of a Predictive Analytics Model," IJERPH, MDPI, vol. 18(22), pages 1-16, November.
    3. Yan Zhang & Liang Zhang & Haomiao Li & Yingchun Chen, 2018. "Determinants of Inappropriate Admissions in County Hospitals in Rural China: A Cross-Sectional Study," IJERPH, MDPI, vol. 15(6), pages 1-10, May.
    4. Moura, Ana, 2021. "Essays in health economics," Other publications TiSEM c93abd22-fa4a-42a5-b172-d, Tilburg University, School of Economics and Management.
    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. Casagranda, Ivo & Costantino, Giorgio & Falavigna, Greta & Furlan, Raffaello & Ippoliti, Roberto, 2016. "Artificial Neural Networks and risk stratification models in Emergency Departments: The policy maker's perspective," Health Policy, Elsevier, vol. 120(1), pages 111-119.
    7. Bryan, Karen & Gage, Heather & Gilbert, Ken, 2006. "Delayed transfers of older people from hospital: Causes and policy implications," Health Policy, Elsevier, vol. 76(2), pages 194-201, April.
    8. Zhou, Xu Dong & Li, Lu & Hesketh, Therese, 2014. "Health system reform in rural China: Voices of healthworkers and service-users," Social Science & Medicine, Elsevier, vol. 117(C), pages 134-141.
    9. Ivo Casagranda Ivo & Giorgio Costantino & Greta Falavigna & Raffaello Furlan & Roberto Ippoliti, 2014. "Artificial Neural Networks and risk stratification in Emergency department," CERIS Working Paper 201412, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    10. Fusco, Marco & Buja, Alessandra & Piergentili, Paolo & Golfetto, Maria Teresa & Serafin, Gianni & Gallo, Silvia & Dalla Barba, Livio & Baldo, Vincenzo, 2016. "Individual and hospital-related determinants of potentially inappropriate admissions emerging from administrative records," Health Policy, Elsevier, vol. 120(11), pages 1304-1312.
    11. Zenga, Mariangela & Mazzoleni, Marcella & Mariani, Paolo & Marletta, Andrea, 2021. "The risk of inappropriateness: An analysis of the hospitalisations in the Italian geriatric wards," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).

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