On the performance of small-scale living facilities in nursing homes: A simulation approach

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Scientific evidence on the impact of small-scale living facilities (SSLFs) on quality of life of nursing home clients remains scarce. In this study a simulation model is developed to examine the performance of SSLFs, in terms of meeting the time preferences of their residents. We model scheduled care using historical data and unscheduled care using a Poisson–Gamma mixture model. The model is used to explore the impact of a change in demand characteristics, duration of care delivery, travel time, allocation flexibility, shifts, number of clients and allocation policy. The results show that to further improve the performance, the focus should lie on: (1) increasing the allocation flexibility of care workers and the number of clients per SSLF, and (2) time dependent staffing. Furthermore, this study shows that simulation is a useful tool for assessing and improving daily nursing home operations. The presented simulation model provides a basis for building a decision support tool for nursing home managers.
Original languageEnglish
Pages (from-to)20-34
JournalOperations Research for Health Care
Volume11
Issue numberDecember
Early online date25 Oct 2016
DOIs
Publication statusPublished - 2016

Fingerprint

Nursing Homes
Quality of Life

Cite this

@article{dfe0fd0c920d410a9fe3de0971b832ba,
title = "On the performance of small-scale living facilities in nursing homes: A simulation approach",
abstract = "Scientific evidence on the impact of small-scale living facilities (SSLFs) on quality of life of nursing home clients remains scarce. In this study a simulation model is developed to examine the performance of SSLFs, in terms of meeting the time preferences of their residents. We model scheduled care using historical data and unscheduled care using a Poisson–Gamma mixture model. The model is used to explore the impact of a change in demand characteristics, duration of care delivery, travel time, allocation flexibility, shifts, number of clients and allocation policy. The results show that to further improve the performance, the focus should lie on: (1) increasing the allocation flexibility of care workers and the number of clients per SSLF, and (2) time dependent staffing. Furthermore, this study shows that simulation is a useful tool for assessing and improving daily nursing home operations. The presented simulation model provides a basis for building a decision support tool for nursing home managers.",
author = "D. Moeke and {van de Geer}, R. and G.M. Koole and R. Bekker",
year = "2016",
doi = "10.1016/j.orhc.2016.10.001",
language = "English",
volume = "11",
pages = "20--34",
journal = "Operations Research for Health Care",
issn = "2211-6923",
publisher = "Elsevier Science & Technology",
number = "December",

}

On the performance of small-scale living facilities in nursing homes: A simulation approach. / Moeke, D.; van de Geer, R.; Koole, G.M.; Bekker, R.

In: Operations Research for Health Care, Vol. 11, No. December, 2016, p. 20-34.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - On the performance of small-scale living facilities in nursing homes: A simulation approach

AU - Moeke, D.

AU - van de Geer, R.

AU - Koole, G.M.

AU - Bekker, R.

PY - 2016

Y1 - 2016

N2 - Scientific evidence on the impact of small-scale living facilities (SSLFs) on quality of life of nursing home clients remains scarce. In this study a simulation model is developed to examine the performance of SSLFs, in terms of meeting the time preferences of their residents. We model scheduled care using historical data and unscheduled care using a Poisson–Gamma mixture model. The model is used to explore the impact of a change in demand characteristics, duration of care delivery, travel time, allocation flexibility, shifts, number of clients and allocation policy. The results show that to further improve the performance, the focus should lie on: (1) increasing the allocation flexibility of care workers and the number of clients per SSLF, and (2) time dependent staffing. Furthermore, this study shows that simulation is a useful tool for assessing and improving daily nursing home operations. The presented simulation model provides a basis for building a decision support tool for nursing home managers.

AB - Scientific evidence on the impact of small-scale living facilities (SSLFs) on quality of life of nursing home clients remains scarce. In this study a simulation model is developed to examine the performance of SSLFs, in terms of meeting the time preferences of their residents. We model scheduled care using historical data and unscheduled care using a Poisson–Gamma mixture model. The model is used to explore the impact of a change in demand characteristics, duration of care delivery, travel time, allocation flexibility, shifts, number of clients and allocation policy. The results show that to further improve the performance, the focus should lie on: (1) increasing the allocation flexibility of care workers and the number of clients per SSLF, and (2) time dependent staffing. Furthermore, this study shows that simulation is a useful tool for assessing and improving daily nursing home operations. The presented simulation model provides a basis for building a decision support tool for nursing home managers.

U2 - 10.1016/j.orhc.2016.10.001

DO - 10.1016/j.orhc.2016.10.001

M3 - Article

VL - 11

SP - 20

EP - 34

JO - Operations Research for Health Care

JF - Operations Research for Health Care

SN - 2211-6923

IS - December

ER -