Literature DB >> 29292847

Developing and utilising a new funding model for home-care services in New Zealand.

Matthew Parsons1, Paul Rouse2, Laszlo Sajtos2, Julie Harrison2, John Parsons3, Lisa Gestro4.   

Abstract

Worldwide increases in the numbers of older people alongside an accompanying international policy incentive to support ageing-in-place have focussed the importance of home-care services as an alternative to institutionalisation. Despite this, funding models that facilitate a responsive, flexible approach are lacking. Casemix provides one solution, but the transition from the well-established hospital system to community has been problematic. This research seeks to develop a Casemix funding solution for home-care services through meaningful client profile groups and supporting pathways. Unique assessments from 3,135 older people were collected from two health board regions in 2012. Of these, 1,009 arose from older people with non-complex needs using the interRAI-Contact Assessment (CA) and 2,126 from the interRAI-Home-Care (HC) from older people with complex needs. Home-care service hours were collected for 3 months following each assessment and the mean weekly hours were calculated. Data were analysed using a decision tree analysis, whereby mean hours of weekly home-care was the dependent variable with responses from the assessment tools, the independent variables. A total of three main groups were developed from the interRAI-CA, each one further classified into "stable" or "flexible." The classification explained 16% of formal home-care service hour variability. Analysis of the interRAI-HC generated 33 clusters, organised through eight disability "sub" groups and five "lead" groups. The groupings explained 24% of formal home-care services hour variance. Adopting a Casemix system within home-care services can facilitate a more appropriate response to the changing needs of older people.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  Casemix funding; assessment; home-care services; management and funding

Mesh:

Year:  2018        PMID: 29292847     DOI: 10.1111/hsc.12525

Source DB:  PubMed          Journal:  Health Soc Care Community        ISSN: 0966-0410


  3 in total

1.  Development of a casemix classification to predict costs of home care in the Netherlands: a study protocol.

Authors:  Arianne Mathilda Josephus Elissen; Gertjan Sebastiaan Verhoeven; Maud Hortense de Korte; Anne Odilia Emile van den Bulck; Silke Friederike Metzelthin; Lieuwe Christiaan van der Weij; Jaap Stam; Dirk Ruwaard; Misja Chiljon Mikkers
Journal:  BMJ Open       Date:  2020-02-17       Impact factor: 2.692

2.  Using machine learning to assess the predictive potential of standardized nursing data for home healthcare case-mix classification.

Authors:  Maud H de Korte; Gertjan S Verhoeven; Arianne M J Elissen; Silke F Metzelthin; Dirk Ruwaard; Misja C Mikkers
Journal:  Eur J Health Econ       Date:  2020-06-29

3.  Identifying client characteristics to predict homecare use more accurately: a Delphi-study involving nurses and homecare purchasing specialists.

Authors:  Anne O E van den Bulck; Arianne M J Elissen; Silke F Metzelthin; Maud H de Korte; Gertjan S Verhoeven; Teuntje A T de Witte-Breure; Lieuwe C van der Weij; Misja C Mikkers; Dirk Ruwaard
Journal:  BMC Health Serv Res       Date:  2022-03-25       Impact factor: 2.655

  3 in total

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