Liza Van Eenoo1, Henriëtte van der Roest2, Graziano Onder3, Harriet Finne-Soveri4, Vjenka Garms-Homolova5, Palmi V Jonsson6, Stasja Draisma7, Hein van Hout8, Anja Declercq9. 1. LUCAS, KU Leuven, Minderbroedersstraat 8 - bus 5310, 3000 Leuven, Belgium. Electronic address: Liza.vaneenoo@kuleuven.be. 2. Department of General Practice and Elderly Care Medicine, VU University Medical Center, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands. Electronic address: hg.vanderroest@vumc.nl. 3. Centro Medicina dell'Invecchiamento, Università Cattolica Sacro Cuore, Largo Francesco Vito 1, 00168, Rome, Italy. Electronic address: graziano.onder@unicatt.it. 4. Department of Wellbeing, National Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland. Electronic address: harriet.finne-soveri@thl.fi. 5. Department III, Economy and Law, Hochschule für Technik und Wirtschaft Berlin, Hönower str 34, D-10318 Berlin, Germany. Electronic address: garmsho@htw-berlin.de. 6. Icelandic Gerontologica Research Institute, Landspitali University Hospital, Reykjavik, Iceland; Faculty of Medicine, University of Iceland, Landakot, 101, Reykjavik, Iceland. Electronic address: palmivj@landspitali.is. 7. GGZ inGeest and Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, A.J. Ernststraat 1187, Postbus 74077, 1070 BB Amsterdam, The Netherlands. Electronic address: S.draisma@ggzingeest.nl. 8. Department of General Practice and Elderly Care Medicine, VU University Medical Center, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands. Electronic address: hpj.vanhout@vumc.nl. 9. LUCAS, KU Leuven, Minderbroedersstraat 8 - bus 5310, 3000 Leuven, Belgium. Electronic address: Anja.Declercq@kuleuven.be.
Abstract
BACKGROUND: Decision makers are searching for models to redesign home care and to organize health care in a more sustainable way. OBJECTIVES: The aim of this study is to identify and characterize home care models within and across European countries by means of structural characteristics and care processes at the policy and the organization level. DATA SOURCES: At the policy level, variables that reflected variation in health care policy were included based on a literature review on the home care policy for older persons in six European countries: Belgium, Finland, Germany, Iceland, Italy, and the Netherlands. At the organizational level, data on the structural characteristics and the care processes were collected from 36 home care organizations by means of a survey. Data were collected between 2013 and 2015 during the IBenC project. STUDY DESIGN: An observational, cross sectional, quantitative design was used. The analyses consisted of a principal component analysis followed by a hierarchical cluster analysis. RESULTS: Fifteen variables at the organizational level, spread across three components, explained 75.4% of the total variance. The three components made it possible to distribute home care organizations into six care models that differ on the level of patient-centered care delivery, the availability of specialized care professionals, and the level of monitoring care performance. Policy level variables did not contribute to distinguishing between home care models. CONCLUSIONS: Six home care models were identified and characterized. These models can be used to describe best practices.
BACKGROUND: Decision makers are searching for models to redesign home care and to organize health care in a more sustainable way. OBJECTIVES: The aim of this study is to identify and characterize home care models within and across European countries by means of structural characteristics and care processes at the policy and the organization level. DATA SOURCES: At the policy level, variables that reflected variation in health care policy were included based on a literature review on the home care policy for older persons in six European countries: Belgium, Finland, Germany, Iceland, Italy, and the Netherlands. At the organizational level, data on the structural characteristics and the care processes were collected from 36 home care organizations by means of a survey. Data were collected between 2013 and 2015 during the IBenC project. STUDY DESIGN: An observational, cross sectional, quantitative design was used. The analyses consisted of a principal component analysis followed by a hierarchical cluster analysis. RESULTS: Fifteen variables at the organizational level, spread across three components, explained 75.4% of the total variance. The three components made it possible to distribute home care organizations into six care models that differ on the level of patient-centered care delivery, the availability of specialized care professionals, and the level of monitoring care performance. Policy level variables did not contribute to distinguishing between home care models. CONCLUSIONS: Six home care models were identified and characterized. These models can be used to describe best practices.
Authors: Seungwon Jeong; Yusuke Inoue; Yasuyuki Arai; Hideki Ohta; Takao Suzuki Journal: Int J Environ Res Public Health Date: 2022-02-18 Impact factor: 3.390
Authors: Lisanne I van Lier; Henriëtte G van der Roest; Vjenka Garms-Homolová; Graziano Onder; Pálmi V Jónsson; Anja Declercq; Cees Mpm Hertogh; Hein Pj van Hout; Judith E Bosmans Journal: Health Serv Insights Date: 2021-06-21
Authors: M J M Verhees; R E Engbers; A M Landstra; G A M Bouwmans; J J Koksma; R F J M Laan Journal: Adv Health Sci Educ Theory Pract Date: 2021-07-04 Impact factor: 3.853