Digital technologies can play a crucial role in empowering people to take charge of their own health and wellness, by providing them timely and ubiquitously support with personalized information. This could be a way to limit the rising cost of healthcare and, at the same time, to improve life quality. Despite digital technologies for lifestyle monitoring (as wearables and app) are quite known, their adoption is still relative low. Due to the importance of optimizing the investment on digital technologies, the main goal of this study is to investigate the factors that can lead individual to use digital technologies for lifestyle monitoring. To accomplish this goal, a model was designed thanks to the data gathered through a survey delivered by DoxaPharma and commissioned by The Observatory of Digital Innovation in Healthcare of Politecnico di Milano in 2016. To draw the model, a literature analysis has been conducted to understand the digital healthcare context, deepening the behavioural theories behind technology adoption and identifying the main results already achieved on this topic. The model was statistically tested using the Structural Equation Modeling (SEM) technique. From the theoretic perspective, the main findings are that to promote these devices is important to act on the variable perceived behavioural control, and in particular on its antecedents: perceived doctor opinion and online health literacy. While the practical contributions consist in giving some tangible suggestions on how to act on these variables. The main practical proposal is to increase the patients’ education on the topic, involving doctors.
Le tecnologie digitali possono avere un ruolo cruciale nel supportare le persone a prendersi carico della propria salute, offrendo loro un tempestivo e costante supporto con informazioni personalizzate. Questo può essere un modo per limitare i crescenti costi della sanità e, allo stesso tempo, migliorare lo stile di vita. Nonostante le tecnologie per il monitoraggio della salute (quali wearable e app) siano abbastanza conosciute, la loro adozione è ancora bassa. A causa dell’importanza di ottimizzare gli investimenti su tali tecnologie, l’obiettivo di questo studio è investigare i fattori che portano un individuo a usarle per monitorare lo stile di vita. Per raggiungere tale obiettivo, è stato definito un modello grazie ai dati ottenuti tramite un questionario sviluppato da DoxaPharma e commissionato dall’Osservatorio di Innovazione Digitale in Sanità del Politecnico di Milano nel 2016. Per disegnare il modello, è stata condotta un’analisi della letteratura per comprendere la sanità digitale, approfondendo le teorie comportamentali alla base dell’adozione delle tecnologie e identificando i risultati già consolidati sull’argomento. Il modello è stato testato statisticamente tramite la tecnica Structural Equation Modeling (SEM). Dal punto di vista teorico, i principali risultati sono che per promuovere tali tecnologie è importante agire sulla variabile controllo comportamentale percepito, e in particolare sulle sue antecedenti: opinione percepita del dottore e alfabetizzazione sanitaria online. A livello pratico, i contributi consistono nel fornire suggerimenti tangibili con cui far leva su tali variabili. La principale proposta vede un aumento dell’educazione dei pazienti sull’argomento trattato, coinvolgendo anche i dottori.
Consumer adoption of digital technologies for lifestyle monitoring : a theoretical and empirical analysis with SEM
PISATI, ALESSANDRA;PELLEGRINI, LISA
2016/2017
Abstract
Digital technologies can play a crucial role in empowering people to take charge of their own health and wellness, by providing them timely and ubiquitously support with personalized information. This could be a way to limit the rising cost of healthcare and, at the same time, to improve life quality. Despite digital technologies for lifestyle monitoring (as wearables and app) are quite known, their adoption is still relative low. Due to the importance of optimizing the investment on digital technologies, the main goal of this study is to investigate the factors that can lead individual to use digital technologies for lifestyle monitoring. To accomplish this goal, a model was designed thanks to the data gathered through a survey delivered by DoxaPharma and commissioned by The Observatory of Digital Innovation in Healthcare of Politecnico di Milano in 2016. To draw the model, a literature analysis has been conducted to understand the digital healthcare context, deepening the behavioural theories behind technology adoption and identifying the main results already achieved on this topic. The model was statistically tested using the Structural Equation Modeling (SEM) technique. From the theoretic perspective, the main findings are that to promote these devices is important to act on the variable perceived behavioural control, and in particular on its antecedents: perceived doctor opinion and online health literacy. While the practical contributions consist in giving some tangible suggestions on how to act on these variables. The main practical proposal is to increase the patients’ education on the topic, involving doctors.File | Dimensione | Formato | |
---|---|---|---|
2017_10_Pellegrini_Pisati.pdf
Open Access dal 12/09/2018
Descrizione: Testo della tesi
Dimensione
3.45 MB
Formato
Adobe PDF
|
3.45 MB | Adobe PDF | Visualizza/Apri |
I documenti in POLITesi sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/10589/136313