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Optimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world data.
Hoogendijk, Emiel O; Onder, Graziano; Smalbil, Louk; Vetrano, Davide L; Hirdes, John P; Howard, Elizabeth P; Morris, John N; Fialová, Daniela; Szczerbinska, Katarzyna; Kooijmans, Eline Cm; Hoogendoorn, Mark; Declercq, Anja; De Almeida Mello, Johanna; Leskelä, Riikka-Leena; Häsä, Jokke; Edgren, Johanna; Ruppe, Georg; Liperoti, Rosa; Joling, Karlijn J; van Hout, Hein Pj.
Afiliação
  • Hoogendijk EO; Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of General Practice, De Boelelaan 1117, Amsterdam, The Netherlands e.hoogendijk@amsterdamumc.nl.
  • Onder G; Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, The Netherlands.
  • Smalbil L; Amsterdam Public Health research institute, Ageing and later life research program, Amsterdam, The Netherlands.
  • Vetrano DL; Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Hirdes JP; Università Cattolica del Sacro Cuore, Rome, Italy.
  • Howard EP; Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Morris JN; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
  • Fialová D; Stockholm Gerontology Research Center, Stockholm, Sweden.
  • Szczerbinska K; School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
  • Kooijmans EC; Connell School of Nursing, Boston College, Chestnut Hill, Boston, MA, USA.
  • Hoogendoorn M; The Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA.
  • Declercq A; The Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA.
  • De Almeida Mello J; Department of Social and Clinical Pharmacy, Faculty of Pharmacy, Charles University, Hradec Králové, Czech Republic.
  • Leskelä RL; Department of Geriatrics and Gerontology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic.
  • Häsä J; Laboratory for Research on Aging Society, Chair of Epidemiology and Preventive Medicine, Medical Faculty, Jagiellonian University Medical College, Kraków, Poland.
  • Edgren J; Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of General Practice, De Boelelaan 1117, Amsterdam, The Netherlands.
  • Ruppe G; Amsterdam Public Health research institute, Ageing and later life research program, Amsterdam, The Netherlands.
  • Liperoti R; Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Joling KJ; LUCAS, Center for Care Research and Consultancy, KU Leuven, Leuven, Belgium.
  • van Hout HP; Center for Sociological Research, KU Leuven, Leuven, Belgium.
BMJ Open ; 13(6): e072399, 2023 06 29.
Article em En | MEDLINE | ID: mdl-37385750
ABSTRACT

INTRODUCTION:

In ageing societies, the number of older adults with complex chronic conditions (CCCs) is rapidly increasing. Care for older persons with CCCs is challenging, due to interactions between multiple conditions and their treatments. In home care and nursing homes, where most older persons with CCCs receive care, professionals often lack appropriate decision support suitable and sufficient to address the medical and functional complexity of persons with CCCs. This EU-funded project aims to develop decision support systems using high-quality, internationally standardised, routine care data to support better prognostication of health trajectories and treatment impact among older persons with CCCs. METHODS AND

ANALYSIS:

Real-world data from older persons aged ≥60 years in home care and nursing homes, based on routinely performed comprehensive geriatric assessments using interRAI systems collected in the past 20 years, will be linked with administrative repositories on mortality and care use. These include potentially up to 51 million care recipients from eight countries Italy, the Netherlands, Finland, Belgium, Canada, USA, Hong Kong and New Zealand. Prognostic algorithms will be developed and validated to better predict various health outcomes. In addition, the modifying impact of pharmacological and non-pharmacological interventions will be examined. A variety of analytical methods will be used, including techniques from the field of artificial intelligence such as machine learning. Based on the results, decision support tools will be developed and pilot tested among health professionals working in home care and nursing homes. ETHICS AND DISSEMINATION The study was approved by authorised medical ethical committees in each of the participating countries, and will comply with both local and EU legislation. Study findings will be shared with relevant stakeholders, including publications in peer-reviewed journals and presentations at national and international meetings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Serviços de Assistência Domiciliar Tipo de estudo: Observational_studies / Prognostic_studies Aspecto: Ethics Limite: Aged / Aged80 / Humans Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Serviços de Assistência Domiciliar Tipo de estudo: Observational_studies / Prognostic_studies Aspecto: Ethics Limite: Aged / Aged80 / Humans Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda