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Quality and safety for the public through domiciliary nursing in Italy

A multicentre cross-sectional descriptive observational study (The Aidomus-IT Protocol)

Datos Bibliográficos

ID12831763
AutoresAnnamaria Bagnasco (0000-0002-9079-8460, University of Genoa, autor de correspondencia), Rosaria Alvaro (0000-0002-4659-1569, University of Rome Tor Vergata), Loreto Lancia (0000-0002-2345-1731, University of L'Aquila), Duilio Fiorenzo Manara (0000-0001-5182-6994, Vita-Salute San Raffaele University), Laura Rasero (0000-0003-4460-8002, University of Florence), Gennaro Rocco (0000-0002-9211-3752, Centre for Research and Development), Maurizio Zega (0000-0002-7821-2615, Cereal Research Centre), Loredana Sasso (0000-0001-5886-5937, University of Genoa)
Año2023
Volumen23
NúmeroS1
Páginas551-551
Fecha de publicación2023-12-28
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Integrated Care (JOURNAL)
Identificadores de la revistaISSN: 1568-4156 • E-ISSN: 1568-4156
EditorialUbiquity Press (PUBLISHER • GB)
DOI10.5334/ijic.icic23203
OpenAlexW4390945044
IdiomaEN

Introduction: The development of this study occurred in conjunction with the new "Regulation defining models and standards for the development of community care in the National Health Service" (Ministerial Decree no. 77/2022) with the redefinition of care in the community. Considered the increase in the elderly population, in the complexity of care and the workload for home care, it is important and urgent to describe the work environment and the Italian community care reality. Aims: The main objective of this study is to evaluate the characteristics of nursing care and the quality of home care in the community in Italy. Methods: This is a cross-sectional descriptive observational study using the survey method. The study uses quantitative data from three sources: 1) primary data on organizational characteristics, professional satisfaction, intention to leave home care services, and burnout; 2) secondary data on the experience of patients and their caregivers; 3) data on improper access to the emergency department, readmission to hospital, comorbidities, services offered, and users’ level of autonomy, and main and secondary diagnoses. Data will be analyzed using descriptive and inferential statistics. Conclusions: The systematic analysis of the different national community care contexts will enable to increase the knowledge and awareness of the need for community health care. The availability of specific data will promote and support the role of the family and community nurse in district health care contexts, in order to increase the quality of care perceived by patients and their families. KEYWORDS (MAX 5): family and community nurses, community care realities, complexity of care, multicentre observational study

Autonomy · Descriptive statistics · Environmental health · Family medicine · Health care · Observational study · Population · Workload · Geriatric Care and Nursing Homes · Medicine · Nursing

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