diabetes mellitus (DM) and thyroid disorders (TDs) are two of the most prevalent and relevant endocrine disorders worldwide, and determining their occurrence and their follow-up pathways is essential. In Italy, due to the presence of a universal health care system, administrative data can be effectively used to determine these measurements. DM is an ideal model for surveillance with administrative data, due to its specific pharmacologic treatment, high rate of hospitalization, and specific care units. The identification of TDs, conversely, is more challenging: they are less frequently managed in a hospital setting, and even if the treatment is highly specific, subclinical forms often do not need any pharmacological treatment.

A Systematic Review of Case-Identification Algorithms Based on Italian Healthcare Administrative Databases for Two Relevant Diseases of the Endocrine System: Diabetes Mellitus and Thyroid Disorders

Dalla Zuanna, Teresa;Pitter, Gisella;Canova, Cristina;Simonato, Lorenzo;
2019

Abstract

diabetes mellitus (DM) and thyroid disorders (TDs) are two of the most prevalent and relevant endocrine disorders worldwide, and determining their occurrence and their follow-up pathways is essential. In Italy, due to the presence of a universal health care system, administrative data can be effectively used to determine these measurements. DM is an ideal model for surveillance with administrative data, due to its specific pharmacologic treatment, high rate of hospitalization, and specific care units. The identification of TDs, conversely, is more challenging: they are less frequently managed in a hospital setting, and even if the treatment is highly specific, subclinical forms often do not need any pharmacological treatment.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3314004
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 14
social impact