The self-reporting of asthma frequently leads to patient misidentification in epidemiological studies. Strategies combining the triangulation of data sources may help to improve the identification of people with asthma. We aimed to combine information from the self-reporting of asthma, medication use and symptoms to identify asthma patterns in the users of an mHealth app.
Identification by cluster analysis of patients with asthma and nasal symptoms using the MASK-air® mHealth app
Bonini, M;Papi, A;
2023
Abstract
The self-reporting of asthma frequently leads to patient misidentification in epidemiological studies. Strategies combining the triangulation of data sources may help to improve the identification of people with asthma. We aimed to combine information from the self-reporting of asthma, medication use and symptoms to identify asthma patterns in the users of an mHealth app.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
1-s2.0-S2531043722002525-main.pdf
accesso aperto
Tipologia:
Full text (versione editoriale)
Licenza:
Creative commons
Dimensione
574.78 kB
Formato
Adobe PDF
|
574.78 kB | Adobe PDF | Visualizza/Apri |
I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
