The DOI matches its OpenAlex record; 1 of the 1 references it cites were found in a registry or an index.
How Internet Users Find, Evaluate, and Use Online Health Information: A Cross-Cultural Review
Abstract
The Internet has become a favored source to find health information. Worldwide, about 4.5% of all Internet searches are for health-related information. However, research has found that the quality of online health information is mixed, which raises serious concerns about the impact of this information. This paper reviews relevant research to understand how health information on the Internet is retrieved, evaluated, and used. Most users of online health information are looking for information about specific health conditions because they or someone they know was diagnosed with a medical condition. They typically use general search engines to find online health information and enter short phrases, often misspelled. They seldom go beyond the first page of a search. Both their search and evaluation skills are limited although they are concerned about the quality of online health information. They avoid sites with overt commercialism, but often do not pay attention to indicators of credibility. Online health information is used to fill an information void which can enhance coping and self efficacy, affects health-related decisions and behavior of users and their friends and family, and is often discussed with health care providers. There are cross-cultural differences in the types of sites used as well as how online information is used. Based on the research reviewed in this paper, three major recommendations are suggested. Professionals should recommend sites. Professionals should promote more effective search and evaluation techniques. Professionals should be involved in developing and promoting uniform standards for health and mental health sites.
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Cites
Eysenbach, G., Powell, J., Kuss, O., & Sa, E.-R. (2002) · JAMA · doi:10.1001/jama.287.20.2691 · Cited by 1,871
Cited by
Metzger, M. J. (2007) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20672 · Cited by 871
Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research
Sbaffi, L., & Rowley, J. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7579 · Cited by 537
Cyberchondria: towards a better understanding of excessive health-related internet use
Starcevic, V., & Berle, D. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/ern.12.162 · Cited by 541
Internet Use in Pregnancy Informs Women’s Decision Making: A Web‐Based Survey
Lagan, B. M., Sinclair, M., & George Kernohan, W. (2010) · Birth · doi:10.1111/j.1523-536x.2010.00390.x · Cited by 443
Credibility: A multidisciplinary framework
Rieh, S. Y., & Danielson, D. R. (2007) · Annual Review of Information Science and Technology · doi:10.1002/aris.2007.1440410114 · Cited by 336
Muse, K., McManus, F., Leung, C., Meghreblian, B., & Williams, J. M. G. (2012) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2011.11.005 · Cited by 303
Effects of internet use on health and depression: a longitudinal study
Bessière, K., Pressman, S., Kiesler, S., & Kraut, R. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1149 · Cited by 270
The Role of Health Anxiety in Online Health Information Search
Baumgartner, S. E., & Hartmann, T. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0425 · Cited by 264
Rains, S. A. (2007) · Journal of Health Communication · doi:10.1080/10810730701619992 · Cited by 236
Johansson, S., Gulliksen, J., & Gustavsson, C. (2021) · Universal Access in the Information Society · doi:10.1007/s10209-020-00714-x · Cited by 224
te Poel, F., Baumgartner, S. E., Hartmann, T., & Tanis, M. (2016) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2016.07.009 · Cited by 172
Hilty, D. M., Crawford, A., Teshima, J., Chan, S., Sunderji, N., Yellowlees, P. M., Kramer, G., O'neill, P., Fore, C., Luo, J., et al. (2015) · International Review of Psychiatry · doi:10.3109/09540261.2015.1091292 · Cited by 170
How Patients With Schizophrenia Use the Internet: Qualitative Study
Schrank, B., Sibitz, I., Unger, A., & Amering, M. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1550 · Cited by 163
Kammerer, Y., Bråten, I., Gerjets, P., & Strømsø, H. I. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.10.012 · Cited by 129
Stadtler, M., Scharrer, L., Brummernhenrich, B., & Bromme, R. (2013) · Cognition and Instruction · doi:10.1080/07370008.2013.769996 · Cited by 126
Status of computerized cognitive behavioural therapy for adults
Titov, N. (2007) · Australian & New Zealand Journal of Psychiatry · doi:10.1080/00048670601109873 · Cited by 120
Suicide Postvention Service Models and Guidelines 2014–2019: A Systematic Review
Andriessen, K., Krysinska, K., Kõlves, K., & Reavley, N. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02677 · Cited by 129
“We developed a search strategy based on previous experiences of our team (Krysinska and Andriessen, 2010; Krysinska et al., 2018) and indications from the literature (Eysenbach and Köhler, 2002; Morahan-Martin, 2004; Jansen and Spink, 2006).”
BackgroundMethodMou, J., & Shin, D. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.08.049 · Cited by 99
An Empirical Study of Older Adult’s Voice Assistant Use for Health Information Seeking
Brewer, R., Pierce, C., Upadhyay, P., & Park, L. (2022) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3484507 · Cited by 89
Lal, S., Nguyen, V., & Theriault, J. (2018) · Early Intervention in Psychiatry · doi:10.1111/eip.12317 · Cited by 77
Glenn, A. D. (2015) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2014.09.013 · Cited by 73
Van Velsen, L., Wildevuur, S., Flierman, I., Van Schooten, B., Tabak, M., & Hermens, H. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0250-2 · Cited by 54
McManus, F., Leung, C., Muse, K., & Williams, J. M. G. (2014) · The Cognitive Behaviour Therapist · doi:10.1017/s1754470x14000270 · Cited by 53
Cyber patients surfing the medical web: Computer-mediated medical knowledge and perceived benefits
Seçkin, G. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.018 · Cited by 47
Schulz, P. J., Rubinell, S., & Hartung, U. (2007) · International Journal of Public Health · doi:10.1007/s00038-007-5127-9 · Cited by 43
Stories of Hell and Healing: Internet Users’ Construction of Benzodiazepine Distress and Withdrawal
Fixsen, A. M., & Ridge, D. (2017) · Qualitative Health Research · doi:10.1177/1049732317728053 · Cited by 34
Hilty, D. M., Chan, S., Hwang, T., Wong, A., & Bauer, A. M. (2018) · Focus · doi:10.1176/appi.focus.16301 · Cited by 31
Ali, H., Patel, P., Obaitan, I., Mohan, B. P., Sohail, A. H., Smith-Martinez, L., Lambert, K., Gangwani, M. K., Easler, J. J., & Adler, D. G. (2023) · iGIE · doi:10.1016/j.igie.2023.10.001 · Cited by 15
Niu, Z., & Willoughby, J. F. (2018) · Asian Journal of Communication · doi:10.1080/01292986.2018.1441319 · Cited by 13
A systematic review of online depression screening tools for use in the South African context
Hassem, T., & Laher, S. (2019) · South African Journal of Psychiatry · doi:10.4102/sajpsychiatry.v25i0.1373 · Cited by 11
Metadata
- Authors
- Morahan-Martin, J. M.
- Venue
- CyberPsychology & Behavior
- Publisher
- Mary Ann Liebert, Inc.
- Published
- 2004-10-01
- Volume
- 7
- Issue
- 5
- Pages
- 497-510
- ISSN
- 1094-9313 (ISSN-L)
- OpenAlex
- W1987094633
- Cited by
- 759
- References
- 1
- FWCI
- 21.89
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
