eHealth Literacy: From Theory to Clinical Application for Digital Health Improvement. Results from the ACCESS Training Experience
Abstract
:1. Introduction
2. Materials and Methods
2.1. Description of the Training
- Module I: Raising awareness of eHealth and health literacy: introduction to the aims and context of the ACCESS project; Achieving new knowledge: introduction to Health and eHealth literacy;
- Module II: Practicing new skills: digital health apps and skills with practice session;
- Module III: Practicing new skills: usability with practice session;
- Module IV: Social communication: inter-generational mode;
- Module V: Self-evaluation and sustainability of the improvement (final questionnaire).
2.2. Subjects
2.3. Procedure
- -
- an ad hoc checklist to collect socio-demographic information;
- -
- the Survey of Technology Use (SOTU) from the Matching Person and Technology Model. SOTU is composed by a 29-item checklist which inquires into current experiences and feelings toward technologies. All items are presented in a three-point semantic differential format to elicit the consumer’s feelings towards these influences (e.g., positive, neutral, negative); in this way, three subscales are scored, highlighting positive, negative, or neutral past experiences with technology as well as a total score [20].
- -
- The Italian version of the eHealth Literacy Scale (eHEALS), an 8-item measure of eHealth literacy developed to assess consumers’ combined knowledge, comfort, and perceived skills at finding, evaluating, and applying electronic health information to health problems [21].
- -
- the eHealth Literacy Scale (eHEALS) [22];
- -
- an ad hoc checklist, consisting of 8 questions to be rated on a 5-point Likert scale, to assess the satisfaction with the training, from 1 “Do not agree at all” to 5 “Completely agree”;
- -
- one ad hoc question to assess the availability of pay for the course.
2.4. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Lattanzio, F.; Abbatecola, A.M.; Bevilacqua, R.; Chiatti, C.; Corsonello, A.; Rossi, L.; Bustacchini, S.; Bernabei, R. Advanced technology care innovation for older people in Italy: Necessity and opportunity to promote health and wellbeing. J. Am. Med. Dir. Assoc. 2014, 15, 457–466. [Google Scholar] [CrossRef]
- Bevilacqua, R.; Di Rosa, M.; Felici, E.; Stara, V.; Barbabella, F.; Rossi, L. Towards an impact assessment framework for ICT-based systems supporting older people: Making evaluation comprehensive through appropriate concepts and metrics. In Ambient Assisted Living Italian Forum 2013; Springer: Ancona, Italy, 2014; pp. 215–222. [Google Scholar]
- Armitage, R.; Nellums, L.B. COVID-19 and the consequences of isolating the elderly. Lancet Public Health 2020, 5, e256. [Google Scholar] [CrossRef] [Green Version]
- Xie, B.; Charness, N.; Fingerman, K.; Kaye, J.; Kim, M.T.; Khurshid, A. When Going Digital Becomes a Necessity: Ensuring Older Adults’ Needs for Information, Services, and Social Inclusion During COVID-19. J. Aging Soc. Policy 2020, 32, 1–11. [Google Scholar] [CrossRef]
- Chen, K. Use of Gerontechnology to Assist Older Adults to Cope with the COVID-19 Pandemic. J. Am. Med. Dir. Assoc. 2020, 21, 983–984. [Google Scholar] [CrossRef]
- Morrow-Howel, N.; Galucia, N.; Swinford, E. Recovering from the COVID-19 Pandemic: A Focus on Older Adults. J. Aging Soc. Policy 2020, 32, 526–535. [Google Scholar] [CrossRef] [Green Version]
- Wu, B. Social isolation and loneliness among older adults in the context of COVID-19: A global challenge. Glob. Health Res. Policy 2020, 5, 1–3. [Google Scholar] [CrossRef] [PubMed]
- Banskota, S.; Healy, M.; Goldber, E.M. 15 smartphone apps for older adults to use while in isolation during the COVID-19 pandemic. West. J. Emerg. Med. 2020, 21, 514. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Melchiorre, M.G.; Papa, R.; Quattrini, S.; Lamura, G.; Barbabella, F. Integrated Care Programs for People with Multimorbidity in European Countries: eHealth Adoption in Health Systems. Biomed Res. Int. 2020, 2020, 9025326. [Google Scholar] [CrossRef] [Green Version]
- Scott Kruse, C.; Karem, P.; Shifflett, K.; Vegi, L.; Ravi, K.; Brooks, M. Evaluating barriers to adopting telemedicine worldwide: A systematic review. J. Telemed. Telecare 2018, 24, 4–12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- van Dijk, J.A.G.M. Deepening Digital Divide: Inequality in the Information Society; Sage: Thousand Oaks, CA, USA, 2005. [Google Scholar]
- Norman, C.D.; Skinner, H.A. eHealth Literacy: Essential Skills for Consumer Health in a Networked World. J. Med. Internet Res. 2006, 8, e9. [Google Scholar] [CrossRef] [PubMed]
- European Action Plan for Strengthening Public Health Capacities and Services. In Proceedings of the WHO Regional Committee for Europe Sixty-Second Session, Valletta, Malta, 10–13 September 2012.
- European Commission Information Society and Media Directorate-General. Report on the Public Consultation on eHealth Action Plan 2012–2020; European Commission Information Society and Media Directorate-General: Amsterdam, The Netherlands, 2016. [Google Scholar]
- Kokol, P.; Stiglic, G. PRIMER ICT: A New blended learning paradigm for teaching ICT skills to older people. In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Bristol, UK, 27–30 June 2011; pp. 1–5. [Google Scholar]
- Xie, B. Improving older adults’ e-health literacy through computer training using NIH online resources. Libr. Inf. Sci. Res. 2012, 34, 63–71. [Google Scholar] [CrossRef] [Green Version]
- Czaja, S.J.; Sharit, J.; Lee, C.C.; Nair, S.N.; Hernández, M.A.; Arana, N.; Fu, S.H. Factors influencing use of an e-health website in a community sample of older adults. JAMIA 2013, 20, 277–284. [Google Scholar] [CrossRef] [PubMed]
- Watkins, I.; Xie, B. eHealth Literacy Interventions for Older Adults: A Systematic Review of the Literature. J. Med. Internet Res. 2014, 16, e225. [Google Scholar] [CrossRef] [Green Version]
- Griebel, L.; Enwald, H.; Gilstad, H.; Pohl, A.L.; Moreland, J.; Sedlmayr, M. eHealth literacy research-Quo vadis? Inform. Health Soc. Care 2018, 43, 427–442. [Google Scholar] [CrossRef]
- Scherer, M.J.; Craddock, G. Matching Person & Technology (MPT) assessment process. Technol. Disabil. 2002, 14, 125–132. [Google Scholar]
- De Caro, W.; Corvo, E.; Marucci, A.R.; Mitello, L.; Lancia, L.; Sansonie, J. Health Literacy Scale: An Nursing Analisys and Italian Validation Authors. Stud. Health Technol. Inform. 2016, 225, 949. [Google Scholar] [PubMed]
- Norman, C.D.; Skinner, H.A. eHEALS: The eHealth Literacy Scale. J. Med. Internet Res. 2006, 8, e27. [Google Scholar] [CrossRef] [Green Version]
- Freund, O.; Reychav, I.; McHaney, R.; Goland, E.; Azuri, J. The ability of older adults to use customized online medical databases to improve their health-related knowledge. Int. J. Med. Inform. 2017, 102, 1–11. [Google Scholar] [CrossRef]
- Arcury, T.A.; Sandberg, J.C.; Melius, K.P.; Quandt, S.A.; Leng, X.; Latulipe, C.; Miller, D.P.; Smith, D.A., Jr.; Bertoni, A.G. Older Adult Internet Use and eHealth Literacy. J. Appl. Gerontol. 2020, 39, 141–150. [Google Scholar] [CrossRef]
- Mitsuhashi, T. Effects of two-week e-learning on eHealth literacy: A randomized controlled trial of Japanese Internet users. PeerJ 2018, 6, e5251. [Google Scholar] [CrossRef]
- Lindsay, S.; Jackson, D.; Schofield, G.; Olivier, P. Engaging older people using participatory design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Austin, TX, USA, 5–10 May 2012; pp. 1199–1208. [Google Scholar]
- Chong, Y.Y.; Cheng, H.Y.; Lai Chan, H.Y.; Chien, W.T.; Shan Wong, S.Y. COVID-19 pandemic, infodemic and the role of eHealth literacy. Int. J. Nurs. Stud. 2020, 108, 103644. [Google Scholar] [CrossRef] [PubMed]
- Dickens, C.; Lambert, B.L.; Cromwell, T.; Piano, M.R. Nurse Overestimation of Patients’ Health Literacy. J. Health Commun. 2018, 18 (Suppl. 1), 62–69. [Google Scholar] [CrossRef] [Green Version]
- Kaper, M.S.; Winter, A.F.; Bevilacqua, R.; Giammarchi, C.; McCusker, A.; Sixsmith, J.; Koot, J.A.R.; Reijneveld, S.A. Positive Outcomes of a Comprehensive Health Literacy Communication Training for Health Professionals in Three European Countries: A Multi-centre Pre-post Intervention Study. Int. J. Environ. Res. Public Health 2019, 16, 3923. [Google Scholar] [CrossRef] [Green Version]
- Kaper, M.S.; Sixsmith, J.; Koot, J.A.R.; Meijering, L.B.; van Twillert, S.; Giammarchi, C.; Bevilacqua, R.; Barry, M.M.; Doyle, P.; Reijneveld, S.A.; et al. Developing and pilot testing a comprehensive health literacy communication training for health professionals in three European countries. Patient Educ. Couns. 2018, 101, 152–158. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Meurer, J.; Müller, C.; Simon, C. Designing for Sustainability: Key Issues of ICT Projects for Ageing at Home. Comput. Support. Coop. Work 2018, 27, 495–537. [Google Scholar] [CrossRef]
- Cerna, K.; Dickel, M.; Müller, C.; Kärnä, E.; Gallistl, V.; Kolland, F.; Reuter, V.; Naegele, G.; Bevilacqua, R.; Kaspar Otto, U. Learning for life: Designing for sustainability of tech-learning networks of older adults. In Proceedings of the 18th European Conference on Computer-Supported Cooperative Work 2020, Siegen, Germany, 13–17 June 2020. [Google Scholar]
- Sørensen, K.; Pelikan, J.M.; Röthlin, F.; Ganahl, K.; Slonska, Z.; Doyle, G.; Falcon, M. Health literacy in Europe: Comparative results of the European health literacy survey (HLS-EU). Eur. J. Public Health 2015, 25, 1053–1058. [Google Scholar] [CrossRef] [Green Version]
Competencies | Training Objectives |
---|---|
Awareness and critical knowledge of health and eHealth literacy | To inform and educate—Know about health and eHealth literacy issues, their impact and interventions to tackle health and eHealth literacy problems |
Advanced skills in relation to health and eHealth literacy older adults interactions with digital tools | To teach skills—Develop older-adult-centered skills to address problems with health and eHealth literacy |
Sustainability of skills developed and application in practice. | To support behavior change—Adopt, change, and maintain behavior to address health and eHealth literacy problems |
Variable | Overall n = 58 | Age 50–69 n = 31 | Age 70+ n = 27 | p |
---|---|---|---|---|
Gender, n (%) | 0.531 | |||
Male | 34 (58.6%) | 17 (54.8%) | 17 (63.0%) | |
Female | 24 (41.4%) | 14 (45.2%) | 10 (37.0%) | |
Marital status, n (%) | 0.555 | |||
Married (cohabiting with husband/wife) | 43 (74.1%) | 22 (71.0%) | 21 (77.8%) | |
Separated, Divorced, Single, Widowed | 15 (25.9%) | 9 (29.0%) | 6 (22.2%) | |
Education level, n (%) | 0.459 | |||
Primary education | 5 (8.6%) | 4 (12.9%) | 1 (3.7%) | |
Secondary education | 41 (70.7%) | 21 (67.7%) | 20 (74.1%) | |
Tertiary education | 12 (20.7%) | 6 (19.4%) | 6 (22.2%) | |
Age, mean ± SD (range) | 68.2 ± 5.0 (50–77) | 64.6 ± 4.1 (50–69) | 72.2 ± 2.0 (70–77) | <0.001 |
eHEALS, mean ± SD (range) | 24.1 ± 8.6 (8–40) | 25.6 ± 9.2 (10–40) | 22.4 ± 7.6 (8–40) | 0.176 |
SOTU assessment | ||||
Negative SOTU, mean ± SD (range) | 4.0 ± 2.8 (0–9) | 3.7 ± 2.8 (0–9) | 4.3 ± 2.8 (0–9) | 0.382 |
Neutral SOTU, mean ± SDa (range) | 4.5 ± 2.7 (0–9) | 4.8 ± 2.7 (0–9) | 4.1 ± 2.8 (0–9) | 0.310 |
Positive SOTU, mean ± SD (range) | 0.6 ± 1.0 (0–4) | 0.5 ± 0.9 (0–4) | 0.6 ± 1.1 (0–4) | 0.777 |
Total SOTU, mean ± SD (range) | 14.6 ± 3.3 (9–22) | 14.8 ± 3.3 (9–22) | 14.3 ± 3.3 (9–20) | 0.503 |
Satisfaction with the training, mean ± SD (range) | 29.7 ± 7.6 (8–40) | 31.2 ± 7.2 (14–40) | 27.8 ± 7.8 (8–40) | 0.107 |
T0 | T1 | p | |||||
---|---|---|---|---|---|---|---|
1–2 (%) | 3 (%) | 4–5 (%) | 1–2 (%) | 3 (%) | 4–5 (%) | ||
| 25.8% | 32.8% | 41.4% | 8.7% | 34.5% | 56.9% | 0.002 |
| 27.6% | 37.9% | 34.5% | 12.1% | 29.3% | 58.6% | 0.001 |
| 26.4% | 33.3% | 40.3% | 17.3%) | 29.3% | 53.4% | 0.004 |
| 31.6% | 35.1% | 33.3% | 17.6% | 31.6% | 50.9% | <0.001 |
| 31.6% | 33.3% | 35.1% | 19.3% | 31.6% | 49.1% | 0.033 |
| 36.2% | 29.3% | 34.5% | 17.8% | 30.4% | 51.8% | 0.040 |
| 31% | 34.5% | 34.5% | 17.2% | 29.3% | 53.4% | 0.006 |
| 56.1% | 22.8% | 21% | 32.7% | 29.3% | 37.9% | 0.030 |
eHEALS, mean ± SD | 24.3 ± 8.9 | 28.4 ± 8.1 | 0.001 |
Cost | n (%) | Satisfaction with the Training |
---|---|---|
Free | 13 (22.8%) | 24.8 ± 9.2 |
1–30 € | 3 (5.3%) | 21.3 ± 5.0 |
31–50 € | 11 (19.3%) | 29.5 ± 3.9 |
51–70 € | 12 (21.1%) | 32.1 ± 6.7 |
71–100 € | 11 (19.3%) | 35.3 ± 6.4 |
Over 100 € | 7 (12.3%) | 31.9 ± 5.3 |
Domains | ρ | p |
---|---|---|
Negative SOTU | 0.24 | 0.076 |
Neutral SOTU | −0.16 | 0.244 |
Positive SOTU | −0.27 | 0.048 |
Total SOTU | −0.29 | 0.032 |
Satisfaction with the training | 0.78 | 0.000 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Bevilacqua, R.; Strano, S.; Di Rosa, M.; Giammarchi, C.; Cerna, K.K.; Mueller, C.; Maranesi, E. eHealth Literacy: From Theory to Clinical Application for Digital Health Improvement. Results from the ACCESS Training Experience. Int. J. Environ. Res. Public Health 2021, 18, 11800. https://doi.org/10.3390/ijerph182211800
Bevilacqua R, Strano S, Di Rosa M, Giammarchi C, Cerna KK, Mueller C, Maranesi E. eHealth Literacy: From Theory to Clinical Application for Digital Health Improvement. Results from the ACCESS Training Experience. International Journal of Environmental Research and Public Health. 2021; 18(22):11800. https://doi.org/10.3390/ijerph182211800
Chicago/Turabian StyleBevilacqua, Roberta, Stefano Strano, Mirko Di Rosa, Cinzia Giammarchi, Katerina Katka Cerna, Claudia Mueller, and Elvira Maranesi. 2021. "eHealth Literacy: From Theory to Clinical Application for Digital Health Improvement. Results from the ACCESS Training Experience" International Journal of Environmental Research and Public Health 18, no. 22: 11800. https://doi.org/10.3390/ijerph182211800
APA StyleBevilacqua, R., Strano, S., Di Rosa, M., Giammarchi, C., Cerna, K. K., Mueller, C., & Maranesi, E. (2021). eHealth Literacy: From Theory to Clinical Application for Digital Health Improvement. Results from the ACCESS Training Experience. International Journal of Environmental Research and Public Health, 18(22), 11800. https://doi.org/10.3390/ijerph182211800