[Network references for rare diseases: state of the art for the paroxysmal nocturnal hemoglobinuria]

Epidemiol Prev. 2018 Sep-Dec;42(5-6):333-343. doi: 10.19191/EP18.5-6.P333.102.
[Article in Italian]

Abstract

Background: recently, healthcare network models have been proposed to improve general awareness of rare diseases for patients and specific knowledge about diagnosis, treatment, and management for healthcare services. Paroxysmal nocturnal hemoglobinuria (PNH) is a rare haematological disease that still has no framing in an official network.

Objectives: to describe the use of network models in diagnosis, treatment, and management of PNH patients both in Italy and abroad and its impact on patients and healthcare service. DISEGN: literature search was performed using the keywords "Hemoglobinuria", "Network", "PHN", and "Screening" in both MedLine and EMBASE. Search was restricted to the articles published in the last 5 years and written in English, French or Italian language.

Results: from the total 251 articles of the initial search, only 21 were finally included in our review. None of the included study explicitly described a network model. In general, we were able to identify two different kind of networks implicitly described in the studies: laboratory networks for diagnostic harmonization or screening of the population at risk of PNH (10/21 studies) and PNH registry as network of clinical information to be use for better understanding of the natural history of the disease and to assess therapeutic effectiveness (11/21 studies).

Conclusions: few network approaches in PNH diagnosis, treatment, and management are described in literature. Despite the scarce application of the networks, our review highlights the positive impact that networks have in both patients and healthcare services.

Publication types

  • Review

MeSH terms

  • Adult
  • Hemoglobinuria, Paroxysmal / diagnosis*
  • Hemoglobinuria, Paroxysmal / epidemiology*
  • Humans
  • Information Services
  • Italy / epidemiology
  • Rare Diseases / diagnosis*
  • Rare Diseases / epidemiology*