Perceived Efficiency Outcomes, Sources and Awareness of Online Health Information among the Elderly during COVID-19
Abstract
:1. Introduction
Research Aims
2. Materials and Methods
2.1. Study Design
2.2. Participants and Procedure
2.3. Measures
2.4. Data Analysis
2.5. Ethical Considerations
3. Results
4. Discussion
5. Conclusions
Limitations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
- Alhuwail, D.; Abdulsalam, Y. Assessing Electronic Health Literacy in the State of Kuwait: Survey of Internet Users from an Arab State. J. Med. Internet Res. 2019, 21, e11174. [Google Scholar] [CrossRef] [PubMed]
- Sturiale, A.; Pata, F.; De Simone, V.; Pellino, G.; Campennì, P.; Moggia, E.; Manigrasso, M.; Milone, M.; Rizzo, G.; Morganti, R.; et al. Internet and social media use among patients with colorectal diseases (ISMAEL): A nationwide survey. Color. Dis. 2020, 22, 1724–1733. [Google Scholar] [CrossRef] [PubMed]
- Chernyshev, M.; Sherali, Z.; Zubair, B. Healthcare data breaches: Implications for digital forensic readiness. J. Med. Syst. 2019, 43, 7. [Google Scholar] [CrossRef] [PubMed]
- Reid, P.; Borycki, E.M. Emergence of a new consumer health informatics framework: Introducing the healthcare organization. In ITCH; IOS Press: Amsterdam, The Netherlands, 2011; pp. 353–357. [Google Scholar]
- Bidmon, S.; Terlutter, R. Gender Differences in Searching for Health Information on the Internet and the Virtual Patient-Physician Relationship in Germany: Exploratory Results on How Men and Women Differ and Why. J. Med. Internet Res. 2015, 17, e156. [Google Scholar] [CrossRef]
- Neter, E.; Brainin, E. eHealth Literacy: Extending the Digital Divide to the Realm of Health Information. J. Med. Internet Res. 2012, 14, e19. [Google Scholar] [CrossRef]
- Vicente, M.R.; Madden, G. Assessing eHealth skills across Europeans. Health Policy Technol. 2017, 6, 161–168. [Google Scholar] [CrossRef]
- Hogan, T.P.; Hill, J.N.; Locatelli, S.M.; Weaver, F.M.; Thomas, F.P.; Nazi, K.M.; Goldstein, B.; Smith, B.M. Health Information Seeking and Technology Use among Veterans with Spinal Cord Injuries and Disorders. PM R 2016, 8, 123–130. [Google Scholar] [CrossRef]
- Aponte, J.; Nokes, K.M. Electronic health literacy of older Hispanics with diabetes. Health Promot. Int. 2015, 32, 482–489. [Google Scholar] [CrossRef] [Green Version]
- Hsu, W.; Chiang, C.; Yang, S. The Effect of Individual Factors on Health Behaviors Among College Students: The Mediating Effects of eHealth Literacy. J. Med. Internet Res. 2014, 16, e287. [Google Scholar] [CrossRef]
- Zhang, Y.; Sun, Y.; Kim, Y. The influence of individual differences on consumer’s selection of online sources for health information. Comput. Hum. Behav. 2017, 67, 303–312. [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]
- Petrič, G.; Atanasova, S.; Kamin, T.; Coulson, N.; Amann, J.; Roland, D. Ill Literates or Illiterates? Investigating the eHealth Literacy of Users of Online Health Communities. J. Med. Internet Res. 2017, 19, e331. [Google Scholar] [CrossRef] [Green Version]
- Liu, P.; Yeh, L.-L.; Wang, J.-Y.; Lee, S.-T. Relationship Between Levels of Digital Health Literacy Based on the Taiwan Digital Health Literacy Assessment and Accurate Assessment of Online Health Information: Cross-Sectional Questionnaire Study. J. Med. Internet Res. 2020, 22, e19767. [Google Scholar] [CrossRef]
- Battineni, G.; Baldoni, S.; Chintalapudi, N.; Sagaro, G.G.; Pallotta, G.; Nittari, G.; Amenta, F. Factors affecting the quality and reliability of online health information. Digit. Health 2020, 6, 1–11. [Google Scholar] [CrossRef] [PubMed]
- Lussiez, A.D.; Burdick, S.; Kodali, S.; Rubio, G.; Mack, J.A.; Lin, J.; Chang, A.C.; Reddy, R.M. Internet Usage Trends in Thoracic Surgery Patients and Their Caregivers. J. Cancer Educ. 2015, 32, 91–96. [Google Scholar] [CrossRef] [PubMed]
- Fergie, G.; Hunt, K.; Hilton, S. What young people want from health-related online resources: A focus group study. J. Youth Stud. 2013, 16, 579–596. [Google Scholar] [CrossRef] [PubMed]
- Ahmed, T.; Rizvi, S.J.R.; Rasheed, S.; Iqbal, M.; Bhuiya, A.; Standing, H.; Bloom, G.; Waldman, L. Digital Health and Inequalities in Access to Health Services in Bangladesh: Mixed Methods Study. JMIR mHealth uHealth 2020, 8, e16473. [Google Scholar] [CrossRef]
- Halwas, N.; Griebel, L.; Huebner, J. eHealth literacy, Internet and eHealth service usage: A survey among cancer patients and their relatives. J. Cancer Res. Clin. Oncol. 2017, 143, 2291–2299. [Google Scholar] [CrossRef] [Green Version]
- Halbach, S.M.; Enders, A.; Kowalski, C.; Pförtner, T.-K.; Pfaff, H.; Wesselmann, S.; Ernstmann, N. Health literacy and fear of cancer progression in elderly women newly diagnosed with breast cancer—A longitudinal analysis. Patient Educ. Couns. 2016, 99, 855–862. [Google Scholar] [CrossRef]
- Brabers, A.E.M.; Rademakers, J.J.D.J.M.; Groenewegen, P.P.; Van Dijk, L.; De Jong, J.D. What role does health literacy play in patients’ involvement in medical decision-making? PLoS ONE 2017, 12, e0173316. [Google Scholar] [CrossRef] [Green Version]
- Lai, J.; Ma, S.; Wang, Y.; Cai, Z.; Hu, J.; Wei, N.; Wu, J.; Du, H.; Chen, T.; Li, R.; et al. Factors Associated with Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw. Open 2020, 3, e203976. [Google Scholar] [CrossRef] [PubMed]
- Schwartz, J.; King, C.-C.; Yen, M.-Y. Protecting Healthcare Workers During the Coronavirus Disease 2019 (COVID-19) Outbreak: Lessons from Taiwan’s Severe Acute Respiratory Syndrome Response. Clin. Infect. Dis. 2020, 71, 858–860. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Di Renzo, L.; Gualtieri, P.; Pivari, F.; Soldati, L.; Attinà, A.; Cinelli, G.; Cinelli, G.; Leggeri, C.; Caparello, G.; Barrea, L.; et al. Eating habits and lifestyle changes during COVID-19 lockdown: An Italian survey. J. Transl. Med. 2020, 18. [Google Scholar] [CrossRef] [PubMed]
- Mitsutake, S.; Shibata, A.; Ishii, K.; Oka, K. Associations of eHealth Literacy with Health Behavior Among Adult Internet Users. J. Med. Internet Res. 2016, 18, e192. [Google Scholar] [CrossRef] [Green Version]
- Bang, K.-S.; Kang, J.H.; Jun, M.H.; Kim, H.S.; Son, H.M.; Yu, S.J.; Kwon, M.K.; Kim, J.S. Professional values in Korean undergraduate nursing students. Nurse Educ. Today 2011, 31, 72–75. [Google Scholar] [CrossRef]
- Von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. Bull. World Health Organ. 2007, 85, 867–872. [Google Scholar] [CrossRef]
- Worldometer. 2021. Available online: https://www.worldometers.info/world-population/ (accessed on 31 May 2021).
- Bodas, M.; Peleg, K. Self-Isolation Compliance in The COVID-19 Era Influenced By Compensation: Findings From A Recent Survey In Israel. Health Aff. 2020, 39, 936–941. [Google Scholar] [CrossRef] [Green Version]
- Bodas, M.; Siman-Tov, M.; Kreitler, S.; Peleg, K. Psychological Correlates of Civilian Preparedness for Conflicts. Disaster Med. Public Health Prep. 2017, 11, 451–459. [Google Scholar] [CrossRef]
- Diviani, N.; Dima, A.L.; Schulz, P.J. A Psychometric Analysis of the Italian Version of the eHealth Literacy Scale Using Item Response and Classical Test Theory Methods. J. Med. Internet Res. 2017, 19, e114. [Google Scholar] [CrossRef] [Green Version]
- Hayes, A. Integrating Mediation and Moderation Analysis: Fundamentals using PROCESS. In Introduction to Mediation, Moderation and Conditional Process Analysis; Guilford Publications: New York, NY, USA, 2013. [Google Scholar]
- Choi, N.G.; DiNitto, D.M. The Digital Divide Among Low-Income Homebound Older Adults: Internet Use Patterns, eHealth Literacy, and Attitudes Toward Computer/Internet Use. J. Med. Internet Res. 2013, 15, e93. [Google Scholar] [CrossRef] [PubMed]
- Kontos, E.; Blake, K.D.; Chou, W.-Y.S.; Prestin, A. Predictors of eHealth Usage: Insights on The Digital Divide from the Health Information National Trends Survey 2012. J. Med. Internet Res. 2014, 16, e172. [Google Scholar] [CrossRef]
- Kim, E.-H.; Stolyar, A.; Lober, W.B.; Herbaugh, A.L.; Shinstrom, S.E.; Zierler, B.K.; Soh, C.B.; Kim, Y. Challenges to Using an Electronic Personal Health Record by a Low-Income Elderly Population. J. Med. Internet Res. 2009, 11, e44. [Google Scholar] [CrossRef]
- Hale, T.M. Is there such a thing as an online health lifestyle? Examining the relationship between social status, Internet access, and health behaviors. Inf. Commun. Soc. 2013, 16, 501–518. [Google Scholar] [CrossRef]
- Chaudhuri, M.S.; LE, M.T.; White, M.C.; Thompson, H.; Demiris, G. Examining health information, seeking behaviors of older adults. Comput. Inform. Nurs. 2013, 31, 547–553. [Google Scholar] [CrossRef] [Green Version]
- Beck, F.; Richard, J.-B.; Nguyen-Thanh, V.; Montagni, I.; Parizot, I.; Renahy, E. Use of the Internet as a Health Information Resource Among French Young Adults: Results from a Nationally Representative Survey. J. Med. Internet Res. 2014, 16, e128. [Google Scholar] [CrossRef]
- Prestin, A.; Vieux, S.N.; Chou, W.-Y.S. Is Online Health Activity Alive and Well or Flatlining? Findings from 10 Years of the Health Information National Trends Survey. J. Health Commun. 2015, 20, 790–798. [Google Scholar] [CrossRef]
- Moreland, J.; French, T.L.; Cumming, G.P.; Bouamrane, M.-M.; Gilstad, H. The Prevalence of Online Health Information Seeking Among Patients in Scotland: A Cross-Sectional Exploratory Study. JMIR Res. Protoc. 2015, 4, e85. [Google Scholar] [CrossRef] [Green Version]
Background Characteristic | n = 336 | ||
---|---|---|---|
n | % | ||
Gender | Male | 152 | 45 |
Female | 184 | 55 | |
Status | Single | 6 | 2 |
Married | 256 | 76 | |
Divorced | 46 | 14 | |
Widowed | 28 | 8 | |
Religious | Jewish | 333 | 99 |
Muslim | 3 | 1 | |
Religiosity | Secular | 226 | 67 |
Traditional | 74 | 22 | |
Religious | 30 | 9 | |
Very religious | 5 | 2 | |
Education | High school | 74 | 22 |
Diploma | 114 | 34 | |
Bachelor’s degree | 100 | 30 | |
Master’s degree | 48 | 15 | |
Financial Status | Above average | 179 | 53 |
Below average | 149 | 44 |
Elderly Individuals’ Income above the Average Monthly Wage (n = 149) | Elderly Individuals’ Income below the Average Monthly Wage (n = 179) | t | * p | |||
---|---|---|---|---|---|---|
Variable | Mean | SD | Mean | SD | ||
Perceived efficiency of online health information | 3.51 | 0.77 | 3.64 | 0.81 | 1.63 | 0.10 |
Perceived outcomes of seeking health information | 3.73 | 0.81 | 3.85 | 0.84 | 1.26 | 0.21 |
Social Networks (Unreliable) | Official Online Health Sites (Reliable) (n = 179) | Google (Unreliable) (n = 149) | F | * p | ||||
---|---|---|---|---|---|---|---|---|
Variables | Mean | SD | Mean | SD | Mean | SD | ||
Online health information efficiency | 3.10 | 0.80 | 3.66 | 0.78 | 3.56 | 0.73 | 4.44 | 0.01 |
Perceived outcomes of seeking online health information | 3.64 | 0.88 | 3.87 | 0.83 | 3.79 | 0.79 | 3.27 | 0.04 |
Variables | Health Status | Awareness of Online Sources | Perceived Efficiency | Perceived Outcomes of Seeking Online Health Information |
---|---|---|---|---|
Health status | 1 | 0.14 * | 0.19 ** | 0.09 |
Awareness of online sources | 1 | 0.62 ** | 0.56 ** | |
Perceived efficiency | 1 | 0.67 ** | ||
Perceived outcomes of seeking online health information | 1 |
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Green, G.; Tesler, R.; Sharon, C. Perceived Efficiency Outcomes, Sources and Awareness of Online Health Information among the Elderly during COVID-19. Int. J. Environ. Res. Public Health 2021, 18, 8121. https://doi.org/10.3390/ijerph18158121
Green G, Tesler R, Sharon C. Perceived Efficiency Outcomes, Sources and Awareness of Online Health Information among the Elderly during COVID-19. International Journal of Environmental Research and Public Health. 2021; 18(15):8121. https://doi.org/10.3390/ijerph18158121
Chicago/Turabian StyleGreen, Gizell, Riki Tesler, and Cochava Sharon. 2021. "Perceived Efficiency Outcomes, Sources and Awareness of Online Health Information among the Elderly during COVID-19" International Journal of Environmental Research and Public Health 18, no. 15: 8121. https://doi.org/10.3390/ijerph18158121