Research in Community and Public Health Nursing (지역사회간호학회지)

Korean Academy of Community Health Nursing (한국지역사회간호학회)
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Methodological Issues in Nursing Research using IT Technology: A Discussion Paper

  • Received : 2019.09.26
  • Accepted : 2019.11.19
  • Published : 2019.12.31
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Abstract

Purpose: Recent advances in computer and mobile technologies have brought increasing usages of IT technology in nursing research across nursing fields. Despite the increasing usages, there has been little discussion on methodological issues involved in nursing research using IT technology. This is a discussion paper to identify methodological issues in IT technology-based nursing research. Methods: An analysis was done using content analysis on research team meeting minutes and research team members' research diaries in a clinical trial that tested the efficacy of a technology-based intervention. First, several major categories of IT technology-based nursing research are concisely summarized. Then, the method that was used for this analysis is presented. Results: The findings are presented as themes reflecting methodological issues in IT technology-based research: (a) difficulties in recruitment due to necessary technology literacy; (b) facilitating recruitment through allowing the use of multiple languages; (c) participants' preferences for specific IT technology; (d) efforts needed to ensure technological security; (e) participants' preferences for design; and (f) necessary considerations on timing. Conclusion: Finally, future directions for nursing research using IT technology are proposed based on the identified issues.

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References

  1. Jander A, Crutzen R, Mercken L, De Vries H. Web-based interventions to decrease alcohol use in adolescents: A Delphi study about increasing effectiveness and reducing drop-out. BMC Public Health. 2015;15:340. https://doi.org/10.1186/s12889-015-1639-z
  2. Im E-O, Chang S. Web-based interventions in nursing. Computers, Informatics, Nursing. 2013;31(2):94-102. https://doi.org/10.1097/NXN.0b013e3182771868
  3. Im E-O, Lee Y, Chee E, Chee W. Web-based interventions for menopause: A systematic integrated literature review. Maturitas. 2017;95:24-30. https://doi.org/10.1016/j.maturitas.2016.10.009
  4. Christensen H, Griffiths KM, Korten A. Web-based cognitive behavior therapy: Analysis of site usage and changes in depression and anxiety scores. Journal of Medical Internet Research. 2002;4(1):e3. https://doi.org/10.2196/jmir.4.1.e3
  5. Kim C-J, Kang D-H. Utility of a web-based intervention for individuals with type 2 diabetes: The impact on physical activity levels and glycemic control. Computers, Informatics, Nursing. 2006;24(6):337-345. https://doi.org/10.1097/00024665-200611000-00008
  6. Sward KA, Richardson S, Kendrick J, Maloney C. Use of a web-based game to teach pediatric content to medical students. Ambulatory Pediatrics. 2008;8(6):354-359. https://doi.org/10.1016/j.ambp.2008.07.007
  7. Ye J. Acculturative stress and use of the internet among East Asian international students in the United States. Cyberpsychology & Behavior. 2005;8(2):154-161. https://doi.org/10.1089/cpb.2005.8.154
  8. Im E-O, Chee W. A descriptive Internet survey on menopausal symptoms: Five ethnic groups of Asian American university faculty and staff. Journal of Transcultural Nursing. 2005;16(2): 126-135. https://doi.org/10.1177/1043659604273550
  9. Paxton RJ, Nayak P, Taylor WC, Chang S, Courneya KS, Schover L, et al. African-American breast cancer survivors' preferences for various types of physical activity interventions: A Sisters Network Inc. web-based survey. Journal of Cancer Survivorship. 2014;8(1):31-38. https://doi.org/10.1007/s11764-013-0307-5
  10. Hobbs BB, Farr LA. Assessing internet survey data collection methods with ethnic nurse shift workers. Chronobiology International. 2004;21(6):1003-1013. https://doi.org/10.1081/cbi-200038529
  11. Bosak KA, Yates B, Pozehl B. Effects of an Internet physical activity intervention in adults with metabolic syndrome. Western Journal of Nursing Research. 2010;32(1):5-22. https://doi.org/10.1177/0193945909333889
  12. Chen H-H, Yeh M-L. Developing and evaluating a smoking cessation program combined with an Internet-assisted instruction program for adolescents with smoking. Patient Education and Counseling. 2006;61(3):411-418. https://doi.org/10.1016/j.pec.2005.05.007
  13. Im E-O, Kim S, Xu S, Lee C, Hamajima Y, Inohara A, et al. Issues in recruiting and retaining Asian American breast cancer survivors in a technology-based intervention study. Cancer Nursing. 2018. https://doi.org/10.1097/NCC.0000000000000657
  14. Im E-O, Lee SJ, Hu Y, Cheng C-Y, Iikura A, Inohara A, et al. The use of multiple languages in a technology-based intervention study: A discussion paper. Applied Nursing Research. 2017;38:147-152. https://doi.org/10.1016/j.apnr.2017.10.011
  15. Im E-O, Chee W, Hu Y, Kim S, Choi H, Hamajima Y, et al. What to consider in a culturally tailored technology-based intervention? Computers, Informatics, Nursing. 2018;36(9):424-429. https://doi.org/10.1097/CIN.0000000000000450
  16. Im E-O, Lee B, Chee W, Brown A, Dormire S. Menopausal symptoms among four major ethnic groups in the U.S. Western Journal of Nursing Research. 2010;32(4):540-565. https://doi.org/10.1177/0193945909354343
  17. Reynolds C, Sutherland MA, Palacios I. Exploring the use of technology for sexual health risk-reduction among ecuadorean adolescents. Annals of Global Health. 2019;85(1):57. https://doi.org/10.5334/aogh.35
  18. Thobias J, Kiwanuka A. Design and implementation of an m-health data model for improving health information access for reproductive and child health services in low resource settings using a participatory action research approach. BMC Medical Informatics and Decision Making. 2018;18(1):45. https://doi.org/10.1186/s12911-018-0622-x
  19. Wootton AR, Legnitto DA, Gruber VA, Dawson-Rose C, Neilands TB, Johnson MO, et al. Telehealth and texting intervention to improve HIV care engagement, mental health and substance use outcomes in youth living with HIV: A pilot feasibility and acceptability study protocol. BMJ Open. 2019;9(7):e028522. https://doi.org/10.1136/bmjopen-2018-028522
  20. Hecht J, Rigotti NA, Minami H, Kjome KL, Bloom EL, Kahler CW, et al. Adaptation of a sustained care cessation intervention for smokers hospitalized for psychiatric disorders: Study protocol for a randomized controlled trial. Contemporary Clinical Trials. 2019;83:18-26. https://doi.org/10.1016/j.cct.2019.06.001
  21. Saver BG, Gustafson D, Taylor TR, Hawkins RP, Woods NF, Dinauer S, et al. A tale of two studies: The importance of setting, subjects and context in two randomized, controlled trials of a web-based decision support for perimenopausal and postmenopausal health decisions. Patient Education and Counseling 66. 2007;66(2):211-222. https://doi.org/10.1016/j.pec.2006.12.004
  22. Im E-O, Chee W. The DSCP-CA: A decision support computer rogram--cancer pain management. Computers, Informatics, Nursing. 2011;29(5):289-296. https://doi.org/10.1097/NCN.0b013e3181f9dd23
  23. Horvath KJ, Amico KR, Erickson D, Ecklund AM, Martinka A, DeWitt J, et al. Thrive with me: Protocol for a randomized controlled trial to test a peer support intervention to improve antiretroviral therapy adherence among men who have sex with men. JMIR Research Protocols. 2018;7(5):e10182. https://doi.org/10.2196/10182
  24. Penn A, Kuperberg A. Psychosocial support in adolescents and young adults with cancer. The Cancer Journal. 2018;24(6):321-327. https://doi.org/10.1097/PPO.0000000000000339
  25. Weinert C. "Measuring Social Support: PRQ2000." In Measurement of Nursing Outcomes: Vol. 3. Self Care and Coping, 161-172. New York: Springer, 2003.
  26. Bush NE, Wooldridge J, Foster V, Shaw K, Brown P. Web site design and development issues: The Washington State Breast and Cervical Health Program Web Site Demonstration Project. Oncology nursing forum. 1999;26(5):857-865.
  27. Pew Internet and American Life Project. Demographics, degrees of Internet access, and health. February 2010. http://www.pewinternet.org/-/media/Files/Presentations/2006/Fox_UNC_June_2006[1].pdf. Accessed December 31, 2013.
  28. Weber RP. Basic content analysis. Thousands Oaks, CA: Sage; 1990.
  29. Pew Internet and American Life Project. 17% of cell phone owners do most of their online browsing on their phone, rather than a computer or other device. 2012. http://pewinternet.org/Reports/2012/Cell-Internet-Use-2012.aspx. Accessed May 20, 2014.
  30. Lopez G, Ruiz NG, Patten E. Key facts about Asian Americans, a diverse and growing population. Pew Res Cent. September 2017. http://www.pewresearch.org/fact-tank/2017/09/08/key-facts-about-asian-americans/. Accessed February 19, 2018.
  31. Fallows D. Pew Internet & American life report. How women and men use the Internet. 2005. http://www.pewinternet.org/. Accessed May 20, 2014.
  32. Shaw BR, Hawkins R, Arora N, McTavish F, Pingree S, Gustafson DH. An exploratory study of predictors of participation in a computer support group for women with breast cancer. Computers, Informatics, Nursing. 2006;24(1):18-27. https://doi.org/10.1097/00024665-200601000-00007
  33. Green AR, Ngo-Metzger Q, Legedza ATR, Massagli MP, Phillips RS, Iezzoni LI. Interpreter services, language concordance, and health care quality. Experiences of Asian Americans with limited English proficiency. Journal of General Internal Medicine. 2005;20(11):1050-1056. https://doi.org/10.1111/j.1525-1497.2005.0223.x
  34. Massoudi BL, Olmsted MG, Zhang Y, Carpenter RA, Barlow CE, Huber R. A web-based intervention to support increased physical activity among at-risk adults. Journal of Biomedical Informatics. 2010;43(5):S41-S45. https://doi.org/10.1016/j.jbi.2010.07.012
  35. Neve MJ, Collins CE, Morgan PJ. Dropout, nonusage attrition, and pretreatment predictors of nonusage attrition in a commercial Web-based weight loss program. Journal of Medical Internet Research. 2010;12(4):e69. https://doi.org/10.2196/jmir.1640
  36. Hine C. Virtual Methods: Issues in Social Research on the Internet. Oxford, UK: Berg; 2005.

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