Publications

Authors:

Longhini, Jessica; Mezzalira, Elisabetta; Saiani, Luisa; Landi, Stefano; Leardini, Chiara; Marini, Giulia

Title:

Identifying population needs: methods of analysis and stratification.

Year:

2023

Type of item:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Language:

Italiano

Referee:

No

Name of journal:

ASSISTENZA INFERMIERISTICA E RICERCA

ISSN of journal:

2038-1778

N° Volume:

42

Number or Folder:

2

Page numbers:

103-110

Keyword:

Primary care, community care, population health management, nursing

Short description of contents:

: . Identifying population needs: methods of analysis and stratification. In this article, examples of population stratification models used at the national level to identify different levels of needs and interventions are reported. Most models are based primarily on health data, diseases, clinical complexity, use of health services, hospitalizations, emergency room access, pharmaceutical prescriptions, and exemption codes. The limitations of these models relate to the availability and integration of data, as well as generalizability in different contexts. Moreover, to address the difficulty of implementing effective local interventions, the co-production or integration of social and health services is strongly suggested. Some survey techniques are presented to detect the needs, expectations, and resources of specific communities or populations.

Product ID:

134392

Handle IRIS:

11562/1096786

Last Modified:

April 20, 2025

Bibliographic citation:

Longhini, Jessica; Mezzalira, Elisabetta; Saiani, Luisa; Landi, Stefano; Leardini, Chiara; Marini, Giulia, Identifying population needs: methods of analysis and stratification. «ASSISTENZA INFERMIERISTICA E RICERCA» , vol. 42 , n. 2 , 2023 , pp. 103-110

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