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Ways for Enhancing the Substance in Consumer-Targeted eHealth

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Health Information Science (HIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11837))

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Abstract

The purpose of health consumer–targeted digital information channels is to enhance the knowledge levels of consumers and patients, and thus, increase the intensity of care. Medical information content as a knowledge entity forms the essence, the substance of these systems, and all the other development work should be constructed around the content. Despite broad efforts, recent evidence shows that refinement is needed in the design of information systems in this core area, as well as in its assessment. In addition to tools for evaluating the quality of information, there is a continuing need for design strategies that produce better information quality. Values and their constant evaluation also have an important role in producing high-quality information.

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References

  1. Hevner, A.R.: A three cycle view of design science research. Scand. J. Inf. Syst. 19, 4 (2007)

    Google Scholar 

  2. Amiel, T., Reeves, T.C.: Design-based research and educational technology: rethinking technology and the research agenda. J. Educ. Technol. Soc. 11, 29–40 (2008)

    Google Scholar 

  3. Machado, C.M., Rebholz-Schuhmann, D., Freitas, A.T., Couto, F.M.: The semantic web in translational medicine: current applications and future directions. Brief. Bioinform. 16, 89–103 (2013)

    Article  Google Scholar 

  4. Goes, P.B.: Design science research in top information systems journals. MIS Q.: Manage. Inf. Syst. 38(1), iii–viii (2014)

    Google Scholar 

  5. Zidarov, D., Thomas, A., Poissant, L.: Knowledge translation in physical therapy: from theory to practice. Disabil. Rehabil. 35, 1571–1577 (2013)

    Article  Google Scholar 

  6. Koo, Y.: The role of designers in integrating societal value in the product and service development processes. Int. J. Des. 10(2), 49–65 (2016)

    Google Scholar 

  7. Stolterman, E.: The nature of design practice and implications for interaction design research. Int. J. Des. 2(1), 55–65 (2008)

    Google Scholar 

  8. Burkell, J.: Health information seals of approval: what do they signify? Inf. Commun. Soc. 7, 491–509 (2004). https://doi.org/10.1080/1369118042000305610

    Article  Google Scholar 

  9. Fahy, E., Hardikar, R., Fox, A., Mackay, S.: Quality of patient health information on the internet: reviewing a complete and evolving landscape. Australas. Med. J. 7, 24–28 (2014)

    Article  Google Scholar 

  10. Robins, D., Holmes, J.: Aesthetics and credibility in web site design. Inf. Process. Manage. 44, 386–399 (2008). https://doi.org/10.1016/j.ipm.2007.02.003

    Article  Google Scholar 

  11. Robillard, J.M., Jun, J.H., Lai, J.-A., Feng, T.L.: The QUEST for quality online health information: validation of a short quantitative tool. BMC Med. Inform. Decis. Making 18, 87 (2018). https://doi.org/10.1186/s12911-018-0668-9

    Article  Google Scholar 

  12. Almutiry, O., Wills, G., Alwabel, A., Crowder, R., WaIters, R.: Toward a framework for data quality in cloud-based health information system. In: International Conference on Information Society (i-Society 2013), pp. 153–157. IEEE (2013)

    Google Scholar 

  13. Stoyanov, S.R., Hides, L., Kavanagh, D.J., Zelenko, O., Tjondronegoro, D., Mani, M.: Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR mHealth uHealth 3, e27 (2015). https://doi.org/10.2196/mhealth.3422

    Article  Google Scholar 

  14. Kaphingst, K.A., Kreuter, M.W., Casey, C., et al.: Health literacy INDEX: development, reliability, and validity of a new tool for evaluating the health literacy demands of health information materials. J. Health Commun. 17, 203–221 (2012). https://doi.org/10.1080/10810730.2012.712612

    Article  Google Scholar 

  15. Breckons, M., Jones, R., Morris, J., Richardson, J.: What do evaluation instruments tell us about the quality of complementary medicine information on the internet? J. Med. Internet Res. 10, e3 (2008). https://doi.org/10.2196/jmir.9

    Article  Google Scholar 

  16. Zhang, Y., Sun, Y., Xie, B.: Quality of health information for consumers on the web: a systematic review of indicators, criteria, tools, and evaluation results. J. Assoc. Inf. Sci. Technol. 66, 2071–2084 (2015)

    Article  Google Scholar 

  17. Rosselló, X., Stanbury, M., Beeri, R., Kirchhof, P., Casadei, B., Kotecha, D.: Digital Learning and the Future Cardiologist. Oxford University Press, Oxford (2019)

    Book  Google Scholar 

  18. Böhme, C., von Osthoff, M.B., Frey, K., Hübner, J.: Development of a rating tool for mobile cancer apps: information analysis and formal and content-related evaluation of selected cancer apps. J. Cancer Educ. 34, 105–110 (2019)

    Article  Google Scholar 

  19. Buote, R.D., Collins, R.H., Shepherd, J.H., McGowan, E.L.: Evaluation of the accuracy and availability of cancer-related physical activity and sedentary behaviour information on English-language websites. J. Psychosoc. Oncol. 36, 754–767 (2018)

    Article  Google Scholar 

  20. Somerson, J.S., Bois, A.J., Jeng, J., Bohsali, K.I., Hinchey, J.W., Wirth, M.A.: Quality of internet-based decision aids for shoulder arthritis: what are patients reading? BMC Musculoskelet. Disord. 19, 112 (2018). https://doi.org/10.1186/s12891-018-2018-6

    Article  Google Scholar 

  21. Connelly, T.M., Khan, M.S., Alzamzami, M., Cooke, F.: An evaluation of the quality and content of web-based stoma information. Colorectal. Dis. 21, 349–356 (2019)

    Article  Google Scholar 

  22. Devan, H., et al.: Do pain management websites foster self-management support for people with persistent pain? a scoping review. Patient Educ. Couns. (2019). https://doi.org/10.1016/j.pec.2019.04.009

    Article  Google Scholar 

  23. Devan, H., Farmery, D., Peebles, L., Grainger, R.: Evaluation of self-management support functions in apps for people with persistent pain: systematic review. JMIR mHealth uHealth. 7, e13080 (2019)

    Article  Google Scholar 

  24. Zhao, P., Yoo, I., Lancey, R., Varghese, E.: Mobile applications for pain management: an app analysis for clinical usage. BMC Med. Inform. Decis. Making 19, 106 (2019)

    Article  Google Scholar 

  25. Kumar, G., Jaremko, K.M., Kou, A., Howard, S.K., Harrison, T.K., Mariano, E.R.: Quality of patient education materials on safe opioid management in the acute perioperative period: what do patients find online? Pain Med. (2019). https://doi.org/10.1093/pm/pny296

  26. Miles, R.C., Baird, G.L., Choi, P., Falomo, E., Dibble, E.H., Garg, M.: Readability of online patient educational materials related to breast lesions requiring surgery. Radiology 291(1), 112–118 (2019)

    Article  Google Scholar 

  27. Manchaiah, V., Dockens, A.L., Flagge, A., et al.: Quality and readability of English-language internet information for tinnitus. J. Am. Acad. Audiol. 30(1), 31–40 (2019)

    Article  Google Scholar 

  28. Clancy, A.A., et al.: Patient-targeted websites on overactive bladder: what are our patients reading? Neurourol. Urodyn. 37, 832–841 (2018)

    Article  Google Scholar 

  29. Gage-Bouchard, E.A., LaValley, S., Warunek, M., Beaupin, L.K., Mollica, M.: Is cancer information exchanged on social media scientifically accurate? J. Cancer Educ. 33, 1328–1332 (2018)

    Article  Google Scholar 

  30. Madathil, K.C., Rivera-Rodriguez, A.J., Greenstein, J.S., Gramopadhye, A.K.: Healthcare information on youtube: a systematic review. Health Inform. J. 21, 173–194 (2015)

    Article  Google Scholar 

  31. Nguyen, M.H., et al.: Optimising eHealth tools for older patients: collaborative redesign of a hospital website. Eur. J. Cancer care 28, e12882 (2019)

    Article  Google Scholar 

  32. Wildenbos, G.A., Jaspers, M.W.M., Schijven, M.P., Dusseljee-Peute, L.W.: Mobile health for older adult patients: using an aging barriers framework to classify usability problems. Int. J. Med. Inform. 124, 68–77 (2019)

    Article  Google Scholar 

  33. Farmer, J., Bigby, C., Davis, H., Carlisle, K., Kenny, A., Huysmans, R.: The state of health services partnering with consumers: evidence from an online survey of Australian health services. BMC Health Serv. Res. 18, 628 (2018)

    Article  Google Scholar 

  34. Beaunoyer, E., Arsenault, M., Lomanowska, A.M., Guitton, M.J.: Understanding online health information: evaluation, tools, and strategies. Patient Educ. Couns. 100, 183–189 (2017)

    Article  Google Scholar 

  35. Rissanen, M.: Intensity thinking as a shared challenge in consumer-targeted eHealth. In: Siuly, S., Lee, I., Huang, Z., Zhou, R., Wang, H., Xiang, W. (eds.) HIS 2018. LNCS, vol. 11148, pp. 183–192. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01078-2_17

    Chapter  Google Scholar 

  36. Hwang, E.-K., et al.: The predictors of poorly controlled asthma in elderly. Allergy, Asthma Immunol. Res. 4, 270–276 (2012)

    Article  Google Scholar 

  37. Dunn, R.M., Busse, P.J., Wechsler, M.E.: Asthma in the elderly and late-onset adult asthma. Allergy 73, 284–294 (2018)

    Article  Google Scholar 

  38. Ostergaard, P.J., Hall, M.J., Rozental, T.D.: Considerations in the treatment of osteoporotic distal radius fractures in elderly patients. Curr. Rev. Musculoskelet. Med. 12, 50–56 (2019)

    Article  Google Scholar 

  39. García, F.J.S., Estrada, J.A.D.H., Johnson, H.M.D.: Pelvic insufficiency: underdiagnosed condition, therapeutic diagnostic review. Coluna/Columna 17, 151–154 (2018)

    Article  Google Scholar 

  40. Stellefson, M.L., et al.: Web-based health information seeking and eHealth literacy among patients living with chronic obstructive pulmonary disease (COPD). Health Commun. 33, 1410–1424 (2018)

    Article  Google Scholar 

  41. Zeineddine, S., Chowdhuri, S.: Apnea in elderly. Curr. Sleep Med. Rep. 5, 13–22 (2019)

    Article  Google Scholar 

  42. Aragonès, J.M., Altimiras, J., Molist, N., Roura, P., Amblàs-Novellas, J.: Under-diagnosis of neuromuscular diseases in patients of 80 years and older. Revista espanola de geriatria y gerontologia (2018)

    Google Scholar 

  43. Dombrowsky, A., Borg, B., Xie, R., Kirklin, J.K., Chen, H., Balentine, C.J.: Why is hyperparathyroidism underdiagnosed and undertreated in older adults? Clin. Med. Insights: Endocrinol. Diabetes 11, 1179551418815916 (2018)

    Google Scholar 

  44. Audisio, R.A.: Shall we operate? preoperative assessment in elderly cancer patients (PACE) can help a SIOG surgical task force prospective study. Crit. Rev. Oncol. Hematol. 65(2), 156–163 (2008)

    Article  Google Scholar 

  45. Iung, B., Cachier, A., Baron, G., et al.: Decision-making in elderly patients with severe aortic stenosis: why are so many denied surgery? Eur. Heart J. 26, 2714–2720 (2005)

    Article  Google Scholar 

  46. Carroll, J.M., Van Der Meij, H.: Ten misconceptions about minimalism. IEEE Trans. Prof. Commun. 39, 72–86 (1996)

    Article  Google Scholar 

  47. El Sherif, R., Pluye, P., Thoër, C., Rodriguez, C.: Reducing negative outcomes of online consumer health information: qualitative interpretive study with clinicians, librarians, and consumers. J. Med. Internet Res. 20, e169 (2018). https://doi.org/10.2196/jmir.9326

    Article  Google Scholar 

  48. Rissanen, M.: “Machine Beauty” – should it inspire eHealth designers? In: Zhang, Y., et al. (eds.) HIS 2014. LNCS, vol. 8423, pp. 1–11. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06269-3_1

    Chapter  Google Scholar 

  49. Csikszentmihalyi, M.: Flow and the Psychology of Discovery and Invention, vol. 39. Harper Perennial, New York (1997)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Aalto University School of Science, Espoo, Finland

    Marjo Rissanen

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  1. Marjo Rissanen
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Correspondence to Marjo Rissanen .

Editor information

Editors and Affiliations

  1. Victoria University, Footscray, VIC, Australia

    Hua Wang

  2. Victoria University, Footscray, VIC, Australia

    Siuly Siuly

  3. Swinburne University of Technology, Hawthorn, VIC, Australia

    Rui Zhou

  4. Instituto de Salud Carlos III, Madrid, Spain

    Fernando Martin-Sanchez

  5. Victoria University, Footscray, VIC, Australia

    Yanchun Zhang

  6. Vrije University, Amsterdam, The Netherlands

    Zhisheng Huang

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Rissanen, M. (2019). Ways for Enhancing the Substance in Consumer-Targeted eHealth. In: Wang, H., Siuly, S., Zhou, R., Martin-Sanchez, F., Zhang, Y., Huang, Z. (eds) Health Information Science. HIS 2019. Lecture Notes in Computer Science(), vol 11837. Springer, Cham. https://doi.org/10.1007/978-3-030-32962-4_28

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  • DOI: https://doi.org/10.1007/978-3-030-32962-4_28

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-32962-4

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