Dataset Information

Self-assessed health among older people in Europe and internet use.

ABSTRACT: BACKGROUND:About ten years ago, an age-related digital divide was identified, where 'the elderly' denoted a group of people at risk of losing the benefits of a digital society. The aims of this work are to find a relationship between self-assessed health and internet use by older people in European countries and to ascertain whether this relationship differs in countries with a more developed eHealth policy. MATERIALS AND METHODS:An ordered logistic regression is estimated for all countries in the sample and for two countries subsets which differ in their eHealth performance. Individual data is collected by SHARE. The classifying criterion of eHealth performance is based on the 'eHealth' policy dimension of the indicator used to construct the Digital Economy and Society Index. The average marginal effects are computed for the variable of internet use. RESULTS:Results show that older people who use the internet tend to report better health status. This relationship however may not hold for low levels of health and it is stronger in countries with low eHealth performance. CONCLUSION:Policy measures on eHealth not only contribute to people's health but also help to alleviate critical situations such as the one created by the Covid-19 pandemic.

SUBMITTER: Tavares AI

PROVIDER: S-EPMC7392126 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Self-assessed health among older people in Europe and internet use.

Tavares Aida Isabel AI

International journal of medical informatics 20200730

<h4>Background</h4>About ten years ago, an age-related digital divide was identified, where 'the elderly' denoted a group of people at risk of losing the benefits of a digital society. The aims of this work are to find a relationship between self-assessed health and internet use by older people in European countries and to ascertain whether this relationship differs in countries with a more developed eHealth policy.<h4>Materials and methods</h4>An ordered logistic regression is estimated for all ...[more]

PMID: 32739610

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Project description:BACKGROUND:The number of older adults with vision impairment (VI) is growing. As health care services increasingly call for patients to use technology, it is important to examine internet/health information technology (HIT) use among older adults with VI. OBJECTIVE:This study aimed to examine (1) the rates of internet/HIT use among older adults with VI compared with a matched sample of their peers without VI, (2) associations of VI with internet/HIT use, and (3) association of HIT use with psychological distress, assessed with the Kessler-6 screen. METHODS:Data were obtained from the 2013 to 2018 US National Health Interview Survey. Older adults (aged ?65 years) with self-reported VI were matched with older adults without VI, in a 1:1 ratio, based on age, sex, number of chronic medical conditions, and functional limitations (N=2866). Descriptive statistics and multivariable logistic regression models, with sociodemographic factors, health conditions, health insurance type, and health care service use as covariates, were used to examine the research questions. RESULTS:In total, 3.28% of older adults (compared with 0.84% of those aged 18-64 years) reported VI, and 25.7% of them were aged ?85 years. Those with VI were significantly more socioeconomically disadvantaged than those without VI and less likely to use the internet (adjusted odds ratio [aOR] 0.64, 95% CI0.49-0.83) and HIT (aOR 0.74, 95% CI 0.56-0.97). However, among internet users, VI was not associated with HIT use. HIT use was associated with lower odds of mild/moderate or serious psychological distress (aOR 0.62, 95% CI 0.43-0.90), whereas VI was associated with greater odds of mild/moderate or serious distress (aOR 1.84, 95% CI 1.36-2.49). Health care provider contacts were also associated with higher odds of internet or HIT use. CONCLUSIONS:Compared with their matched age peers without VI, older adults with VI are less likely to use HIT because they are less likely to use the internet. Socioeconomically disadvantaged older adults experiencing a digital divide need help to access information and communication technologies through a fee waiver or subsidy to cover internet equipment and subscription and ensure continuous connectivity. Older adults with VI who do not know how to use the internet/HIT but want to learn should be provided instruction, with special attention to accessibility features and adaptive devices. Older adults with a low income also need better access to preventive eye care and treatment of VI as well as other health care services.

Project description:The conventional definition of multimorbidity may not address the complex treatment needs resulting from interactions between multiple conditions, impacting self-rated health (SRH). In India, there is limited research on healthcare use and SRH considering diverse disease combinations in individuals with multimorbidity. This study aims to identify multimorbidity clusters related to healthcare use and determine if it improves the self-rated health of individuals in different clusters. This study extracted information from cross-sectional data of the first wave of the Longitudinal Ageing Study in India (LASI), conducted in 2017-18. The study participants were 31,373 people aged ≥ 60 years. A total of nineteen chronic diseases were incorporated to identify the multimorbidity clusters using latent class analysis (LCA) in the study. Multivariable logistic regression was used to examine the association between identified clusters and healthcare use. A propensity score matching (PSM) analysis was utilised to further examine the health benefit (i.e., SRH) of using healthcare in each identified cluster. LCA analysis identified five different multimorbidity clusters: relatively healthy' (68.72%), 'metabolic disorder (16.26%), 'hypertension-gastrointestinal-musculoskeletal' (9.02%), 'hypertension-gastrointestinal' (4.07%), 'complex multimorbidity' (1.92%). Older people belonging to the complex multimorbidity [aOR:7.03, 95% CI: 3.54-13.96] and hypertension-gastrointestinal-musculoskeletal [aOR:3.27, 95% CI: 2.74-3.91] clusters were more likely to use healthcare. Using the nearest neighbor matching method, results from PSM analysis demonstrated that healthcare use was significantly associated with a decline in SRH across all multimorbidity clusters. Findings from this study highlight the importance of understanding multimorbidity clusters and their implications for healthcare utilization and patient well-being. Our findings support the creation of clinical practice guidelines (CPGs) focusing on a patient-centric approach to optimize multimorbidity management in older people. Additionally, finding suggest the urgency of inclusion of counseling and therapies for addressing well-being when treating patients with multimorbidity.

Dataset Information

Self-assessed health among older people in Europe and internet use.

Publications

Self-assessed health among older people in Europe and internet use.

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