{"title":"The Heterogeneous Influences of Online Health Information Seeking on Aspirin Use for Cardiovascular Disease Prevention","authors":"Jingrong Zhu , Yunfeng Shi , Yi Cui , Wei Yan","doi":"10.1016/j.hlpt.2024.100842","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The internet has become an important source of health information for the general population. Previous research has shown that online health information seeking is associated with medication adherence. However, the direction of this relationship is still a matter of dispute. Even less is known about the factors that moderate such a relationship.</p></div><div><h3>Objective</h3><p>To investigate the heterogeneous influences of online health information seeking on the use of aspirin in CVD prevention and the possible moderating factors among the applicable adult population in the U.S from 2016 to 2018.</p></div><div><h3>Methods</h3><p>Respondents aged 40 or older, based on guidelines for aspirin use, were sampled from the 2016 to 2018 National Health Interview Survey. Linear probability models were used to test the association between patients’ aspirin use behaviors and the variables of interest in four separate sub-populations.</p></div><div><h3>Results</h3><p>Aspirin use for CVD prevention was associated with online health information seeking in different ways. When patients received doctors’ advice to use aspirin, online information seeking has a negative influence on aspirin use, depending on whether the individual has CVD risk factors. However, for patients without recommendations from providers, the effects of online information seeking on self-initiated aspirin use depend on the different types of prevention (i.e., primary vs. secondary) and CVD risk factors.</p></div><div><h3>Conclusions</h3><p>Online health information might lead to both overuse and underuse of aspirin in CVD prevention. Online information seeking interacts with other information sources affecting consumers' decision making. Key consumer characteristics and risk factors may also moderate such a relationship.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"13 2","pages":"Article 100842"},"PeriodicalIF":3.4000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy and Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211883724000054","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
The internet has become an important source of health information for the general population. Previous research has shown that online health information seeking is associated with medication adherence. However, the direction of this relationship is still a matter of dispute. Even less is known about the factors that moderate such a relationship.
Objective
To investigate the heterogeneous influences of online health information seeking on the use of aspirin in CVD prevention and the possible moderating factors among the applicable adult population in the U.S from 2016 to 2018.
Methods
Respondents aged 40 or older, based on guidelines for aspirin use, were sampled from the 2016 to 2018 National Health Interview Survey. Linear probability models were used to test the association between patients’ aspirin use behaviors and the variables of interest in four separate sub-populations.
Results
Aspirin use for CVD prevention was associated with online health information seeking in different ways. When patients received doctors’ advice to use aspirin, online information seeking has a negative influence on aspirin use, depending on whether the individual has CVD risk factors. However, for patients without recommendations from providers, the effects of online information seeking on self-initiated aspirin use depend on the different types of prevention (i.e., primary vs. secondary) and CVD risk factors.
Conclusions
Online health information might lead to both overuse and underuse of aspirin in CVD prevention. Online information seeking interacts with other information sources affecting consumers' decision making. Key consumer characteristics and risk factors may also moderate such a relationship.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics