Transitions Between Care Provisions Demanded by Dutch Elderly

Abstract

Age positively effects the probability of a reassessment if initially care at home was assessed. Living alone, access to informal care, and applications initiated by professionals increase transition probabilities. Also initial applications for care at home due to dementia are more likely to be followed by a quick reassessment. The results can aid assessment agencies to set validity terms of assessments, and in planning future supply of services.

Home-care clients’ need for help, and use and costs of services

“…van Gameren and Woittiez 2005;Kadushin 2004;van Campen and van Gameren 2004). An association between the use of home nursing and the need for help in dealing with illnesses is quite expected, because home nursing aims at caring for illnesses and pain, while home help is focused on assistance with ADL functions.…”

Integrated decision making in healthcare : an operations research and management science perspective

“…To this end, provider capacity must be matched with patient demand. Since individual home care is in general a long-term process, the capacity dimensioning decision also requires long-term demand forecast models based on demographic information [236,485]. In [305], it is indicated that true care needs are hard to estimate as care demands stored in historical data tend to be biased by the realized (un)availability of services.…”

“…If dimensions are not properly balanced, some resources may become bottlenecks, while at the same time others are underutilized [37,75]. Methods: computer simulation [389,485], Markov processes [236], queueing theory [75], literature review [37].…”

“…To derive optimal placement policies, many contributions model the movement of patients through the healthcare system including both hospital and residential care [358,440,467,505,529], the progress of patients through different health states [103,173,174,191,268,356,358,359,360,364,440,464,465,466,467,529], and part of them include an estimation of related cost [343,344,346,360,394,528]; other contributions model the relation between gender, age and clinical patient characteristics to length-of-stay and resource consumption in each stage [174,343,344,345,357,364,440,485,528,529]. Various cost evaluations include analysis of demographics and individual lifeexpectations [103,236,394,528,529].…”

“…To estimate patient demand (in number and length-of stay), the earlier mentioned models for the movement of patients through health states and through the health system are applicable [173,174,199,268,343,344,345,346,356,357,359,360,364,440,464,465,466,467,505,528,529]. Due to the long-term character of residential care, long-term demand forecast models that include demographic information and survival analysis as presented in [103,132,236,394,485] have additional value. To anticipate for the uncertainty of long-term demand developments such as population ageing, scenario analysis can be applied to answer what-if questions [465,466].…”