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Technical-efficiency analysis of end-of-life care in long-term care facilities within Europe: A cross-sectional study of deceased residents in 6 EU countries (PACE)

Author

Listed:
  • Anne B Wichmann
  • Eddy M M Adang
  • Kris C P Vissers
  • Katarzyna Szczerbińska
  • Marika Kylänen
  • Sheila Payne
  • Giovanni Gambassi
  • Bregje D Onwuteaka-Philipsen
  • Tinne Smets
  • Lieve Van den Block
  • Luc Deliens
  • Myrra J F J Vernooij-Dassen
  • Yvonne Engels
  • on behalf of the PACE consortium

Abstract

Background: An ageing population in the EU leads to a higher need of long-term institutional care at the end of life. At the same time, healthcare costs rise while resources remain limited. Consequently, an urgency to extend our knowledge on factors affecting efficiency of long-term care facilities (LTCFs) arises. This study aims to investigate and explain variation in technical efficiency of end-of-life care within and between LTCFs of six EU countries: Belgium (Flanders), England, Finland, Italy, the Netherlands and Poland. In this study, technical efficiency reflects the LTCFs’ ability to obtain maximal quality of life (QoL) and quality of dying (QoD) for residents from a given set of resource inputs (personnel and capacity). Methods: Cross-sectional data were collected by means of questionnaires on deceased residents identified by LTCFs over a three-month period. An output-oriented data-envelopment analysis (DEA) was performed, producing efficiency scores, incorporating personnel and capacity as input and QoL and QoD as output. Scenario analysis was conducted. Regression analysis was performed on explanatory (country, LTCF type, ownership, availability of palliative care and opioids) and case mix (disease severity) variables. Results: 133 LTCFs of only one type (onsite nurses and offsite GPs) were considered in order to reduce heterogeneity. Variation in LTCF efficiency was found across as well as within countries. This variation was not explained by country, ownership, availability of palliative care or opioids. However, in the ‘hands-on care at the bedside’ scenario, i.e. only taking into account nursing and care assistants as input, Poland (p = 0.00) and Finland (p = 0.04) seemed to be most efficient. Conclusions: Efficiency of LTCFs differed extensively across as well as within countries, indicating room for considerable efficiency improvement. Our findings should be interpreted cautiously, as comprehensive comparative EU-wide research is challenging as it is influenced by many factors.

Suggested Citation

  • Anne B Wichmann & Eddy M M Adang & Kris C P Vissers & Katarzyna Szczerbińska & Marika Kylänen & Sheila Payne & Giovanni Gambassi & Bregje D Onwuteaka-Philipsen & Tinne Smets & Lieve Van den Block & Lu, 2018. "Technical-efficiency analysis of end-of-life care in long-term care facilities within Europe: A cross-sectional study of deceased residents in 6 EU countries (PACE)," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-12, September.
  • Handle: RePEc:plo:pone00:0204120
    DOI: 10.1371/journal.pone.0204120
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    References listed on IDEAS

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    1. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    2. Richard Norman & Paula Cronin & Rosalie Viney & Madeleine King & Deborah Street & John Brazier & Julie Ratcliffe, 2007. "Valuing EQ-5D health states: A review and analysis, CHERE Working Paper 2007/9," Working Papers 2007/9, CHERE, University of Technology, Sydney.
    3. Shimshak, Daniel G. & Lenard, Melanie L. & Klimberg, Ronald K., 2009. "Incorporating quality into data envelopment analysis of nursing home performance: A case study," Omega, Elsevier, vol. 37(3), pages 672-685, June.
    4. Giulia Garavaglia & Emanuele Lettieri & Tommaso Agasisti & Silvano Lopez, 2011. "Efficiency and quality of care in nursing homes: an Italian case study," Health Care Management Science, Springer, vol. 14(1), pages 22-35, March.
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