Table 1 Characteristics of included papers (n = 14)
From: Barriers and facilitators to the use of e-health by older adults: a scoping review
Author & Year | Study design | Focus | Population (n, mean age) | Recruitment country | Technology |
|---|---|---|---|---|---|
Bhattarai et al. (2020) | Qualitative interviews | App for pain self-management of arthritic pain | 65+ years with arthritic pain (16, 73) | Australia | Smart phone |
Bujnowska-Fedak & Pirogowicz (2014) | Quantitative survey | How to support elderly Polish people to access e-Health (preferences and attitudes) | 60–90 years, supporters, and non-supporters of e-health (286, 74) | Poland | Any device with internet access |
Cajita et al. (2018) | Qualitative interviews | Mobile health adoption in older adults with heart failure | 66–83 years with heart failure (10, not reported) | USA | Smart phone |
Coley et al. (2019) | Mixed methods | Prevention of cardiovascular disease and diabetes | 65+ years with cardiovascular or diabetes risk factors (341, 68.7) | Finland, France & Netherlands | PC |
Currie et al. (2015) | Qualitative interviews | Attitudes and acceptance of eHealth technologies by older rural people with chronic pain | 60–74 years, rurally located people with chronic pain (4, not reported) | Scotland | PC, laptop, or tablet |
de Veer et al. (2015) | Quantitative survey | Intention to use e-health | 60–77 years (1014, not reported) | Netherlands | PC |
Mishuris et al. (2014) | Qualitative interviews | Barriers to patient portal access - veteran specific | 50–100 years, veterans (17, 61) | USA | PC or laptop |
Nymberg et al. (2019) | Qualitative interviews | Beliefs, attitudes, experiences, and expectations of IT interventions for the prevention and treatment of chronic diseases | 65–80 years with at least one chronic disease (15, 73) | Sweden | Any devise with internet access |
Park et al. (2020) | Qualitative interviews | Perceptions and experiences of IT medication adherence | Range unknown, Veterans and non-veterans with history of coronary heart disease (28, 67) | USA | Smart phone |
Pywell et al. (2020) | Qualitative interviews | Barriers to older adults’ uptake of mobile-based mental health interventions | 53–77 years with low mood (10, 68) | England | Smart phone |
Rasche et al. (2018) | Mixed methods | Barriers to using health apps | 61–82 years, general population (95, 67) | Germany | Smart phones and tablet |
Still et al. (2018) | Qualitative interviews | Experience of African-Americans’ using an app to manage hypertension | 62–91 years with hypertension (21, 72) | USA | Smart phone |
Van Middelaar et al. (2018) | Qualitative interviews | HATICE (Healthy ageing through internet counselling) | 65–84 years with increased risk of cardiovascular disease (20, 71) | Netherlands | PC |
Zibrik et al. (2015) | Mixed methods | Immigrant Chinese & Punjabi seniors’ barriers and facilitators to e-health | 60–79 years. Punjabi, and Chinese immigrants (55, not reported) | Canada | PC |