Literature DB >> 28583722

Factors affecting patients' online health information-seeking behaviours: The role of the Patient Health Engagement (PHE) Model.

Guendalina Graffigna1, Serena Barello2, Andrea Bonanomi3, Giuseppe Riva1.   

Abstract

OBJECTIVE: To identify the variables affecting patients' online health information-seeking behaviours by examining the relationships between patient participation in their healthcare and online health information-seeking behaviours.
METHODS: A cross-sectional survey of Italian chronic patients (N=352) was conducted on patient's online health information-seeking behaviours and patient participation-related variables. Structural equation modeling analysis was conducted to test the hypothesis.
RESULTS: This study showed how the healthcare professionals' ability to support chronic patients' autonomy affect patients' participation in their healthcare and patient's online health information-seeking behaviours. However, results do not confirm that the frequency of patients' online health-information seeking behavior has an impact on their adherence to medical prescriptions.
CONCLUSION: Assuming a psychosocial perspective, we have discussed how patients' engagement - conceived as the level of their emotional elaboration of the health condition - affects the patients' ability to search for and manage online health information. PRACTICE IMPLICATION: To improve the effectiveness of patients' online health information-seeking behaviours and to enhance the effectiveness of technological interventions in this field, healthcare providers should target assessing and improving patient engagement and patient empowerment in their healthcare. It is important that health professionals acknowledge patients' online health information-seeking behaviours that they discuss the information offered by patients and guide them to reliable and accurate web sources.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Health professionals; Medication adherence; Online health information-seeking behaviours; PHE scale; Patient activation measure; Patient education; Patient empowerment; Patient engagement

Mesh:

Year:  2017        PMID: 28583722     DOI: 10.1016/j.pec.2017.05.033

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  17 in total

1.  Using Machine Learning to Predict Young People's Internet Health and Social Service Information Seeking.

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2.  Investigating the Role of Perceived Information Overload on COVID-19 Fear: A Moderation Role of Fake News Related to COVID-19.

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3.  The Chain Mediating Effect of the Public's Online Health Information-Seeking Behavior on Doctor-Patient Interaction.

Authors:  Aijing Luo; Zhen Yu; Fei Liu; Wenzhao Xie
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4.  The role of Patient Health Engagement Model (PHE-model) in affecting patient activation and medication adherence: A structural equation model.

Authors:  Guendalina Graffigna; Serena Barello; Andrea Bonanomi
Journal:  PLoS One       Date:  2017-06-27       Impact factor: 3.240

5.  Impact of the Method of Delivering Electronic Health Behavior Change Interventions in Survivors of Cancer on Engagement, Health Behaviors, and Health Outcomes: Systematic Review and Meta-Analysis.

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Review 6.  Spotlight on the Patient Health Engagement model (PHE model): a psychosocial theory to understand people's meaningful engagement in their own health care.

Authors:  Guendalina Graffigna; Serena Barello
Journal:  Patient Prefer Adherence       Date:  2018-07-19       Impact factor: 2.711

Review 7.  Is a Transdisciplinary Theory of Engagement in Organized Settings Possible? A Concept Analysis of the Literature on Employee Engagement, Consumer Engagement and Patient Engagement.

Authors:  Guendalina Graffigna
Journal:  Front Psychol       Date:  2017-07-06

8.  Measuring Italian citizens' engagement in the first wave of the COVID-19 pandemic containment measures: A cross-sectional study.

Authors:  Guendalina Graffigna; Serena Barello; Mariarosaria Savarese; Lorenzo Palamenghi; Greta Castellini; Andrea Bonanomi; Edoardo Lozza
Journal:  PLoS One       Date:  2020-09-11       Impact factor: 3.240

9.  Italian Consensus Statement on Patient Engagement in Chronic Care: Process and Outcomes.

Authors:  Guendalina Graffigna; Serena Barello; Giuseppe Riva; Massimo Corbo; Gianfranco Damiani; Primiano Iannone; Albino Claudio Bosio; Walter Ricciardi
Journal:  Int J Environ Res Public Health       Date:  2020-06-11       Impact factor: 3.390

10.  Associations of eHealth Literacy With Health Services Utilization Among College Students: Cross-Sectional Study.

Authors:  Yi Fang Luo; Shu Ching Yang; An-Sing Chen; Chia-Hsun Chiang
Journal:  J Med Internet Res       Date:  2018-10-25       Impact factor: 5.428

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