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Social Network Analysis of Elders' Health Literacy and their Use of Online Health Information

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Objectives: Utilizing social network analysis, this study aimed to analyze the main keywords in the literature regarding the health literacy of and the use of online health information by aged persons over 65. Methods: Medical Subject Heading keywords were extracted from articles on the PubMed database of the National Library of Medicine. For health literacy, 110 articles out of 361 were initially extracted. Seventy-one keywords out of 1,021 were finally selected after removing repeated keywords and applying pruning. Regarding the use of online health information, 19 articles out of 26 were selected. One hundred forty-four keywords were initially extracted. After removing the repeated keywords, 74 keywords were finally selected. Results: Health literacy was found to be strongly connected with ‘Health knowledge, attitudes, practices’ and ‘Patient education as topic.’ ‘Computer literacy’ had strong connections with ‘Internet’ and ‘Attitude towards computers.’ ‘Computer literacy’ was connected to ‘Health literacy,’ and was studied according to the parameters ‘Attitude towards health’ and ‘Patient education as topic.’ The use of online health information was strongly connected with ‘Health knowledge, attitudes, practices,’ ‘Consumer health information,’ ‘Patient education as topic,’ etc. In the network, ‘Computer literacy’ was connected with ‘Health education,’ ‘Patient satisfaction,’ ‘Self-efficacy,’ ‘Attitude to computer,’ etc. Conclusions: Research on older citizens’ health literacy and their use of online health information was conducted together with study of computer literacy, patient education, attitude towards health, health education, patient satisfaction, etc. In particular, self-efficacy was noted as an important keyword. Further research should be conducted to identify the effective outcomes of self-efficacy in the area of interest.

Abstract

Objectives: Utilizing social network analysis, this study aimed to analyze the main keywords in the literature regarding the health literacy of and the use of online health information by aged persons over 65. Methods: Medical Subject Heading keywords were extracted from articles on the PubMed database of the National Library of Medicine. For health literacy, 110 articles out of 361 were initially extracted. Seventy-one keywords out of 1,021 were finally selected after removing repeated keywords and applying pruning. Regarding the use of online health information, 19 articles out of 26 were selected. One hundred forty-four keywords were initially extracted. After removing the repeated keywords, 74 keywords were finally selected. Results: Health literacy was found to be strongly connected with ‘Health knowledge, attitudes, practices’ and ‘Patient education as topic.’ ‘Computer literacy’ had strong connections with ‘Internet’ and ‘Attitude towards computers.’ ‘Computer literacy’ was connected to ‘Health literacy,’ and was studied according to the parameters ‘Attitude towards health’ and ‘Patient education as topic.’ The use of online health information was strongly connected with ‘Health knowledge, attitudes, practices,’ ‘Consumer health information,’ ‘Patient education as topic,’ etc. In the network, ‘Computer literacy’ was connected with ‘Health education,’ ‘Patient satisfaction,’ ‘Self-efficacy,’ ‘Attitude to computer,’ etc. Conclusions: Research on older citizens’ health literacy and their use of online health information was conducted together with study of computer literacy, patient education, attitude towards health, health education, patient satisfaction, etc. In particular, self-efficacy was noted as an important keyword. Further research should be conducted to identify the effective outcomes of self-efficacy in the area of interest.

참고문헌 (44)

  1. 2010 National social statistics survey, "Statistics Korea", Statistics Korea, ~ (2010)
  2. Kiel JM, "The digital divide: Internet and e-mail use by the elderly", Med Inform Internet Med, 30(1), pp.19~23 (2005)
  3. Kuttan A, "From digital divide to digital opportunity" (2003), Scarecrow Press
  4. An JY, "Correlates and predictors of consumers’ health information and services usage behavior on the Internet: a structural equation modeling approach", pp.2005
  5. 2007 Digital divide index and status report, "National Information Society Agency", National Information Society Agency, ~ (2008)
  6. 2009 A study on the digital divide of the Korean older adults, "National Information Society Agency", National Information Society Agency, ~ (2010)
  7. 2010 Digital divide index and status report, "National Information Society Agency", National Information Society Agency, ~ (2010)
  8. An JY, "Theory development in health care informatics: information and communication technology acceptance model (ICTAM) improves the explanatory and predictive power of technology acceptance models", Stud Health Technol Inform, 122, pp.63~67 (2006)
  9. An JY, "Theory development in nursing and healthcare informatics: a model explaining and predicting information and communication technology acceptance by healthcare consumers", ANS Adv Nurs Sci, 30(3), pp.E37~E49 (2007)
  10. 송태민, "건강정보 웹 사이트 수용성 평가모형 개발", Healthcare Informatics Research, 11(3), pp.221~233 (2005), 대한의료정보학회
  11. Furlong MS, "An electronic community for older adults: the SeniorNet Network", J Commun, 39(3), pp.145~153 (1989)
  12. 2011 Internet usage survey, "Korea Internet Security Agency", Korea Internet Security Agency, ~ (2011)
  13. 이금룡, "정보화 교육을 통한 인터넷 활용이 노년기 적응과정에 미치는 영향에 대한 탐색적 연구", 노인복지연구, 37(37), pp.7~30 (2007), 한국노인복지학회
  14. Eriksson-Backa K, "Health information literacy in everyday life: a study of Finns aged 65-79 years", Health Informatics J, 18(2), pp.83~94 (2012)
  15. Campbell RJ, "Teaching elderly adults to use the Internet to access health care information: before-after study", J Med Internet Res, 7(2), pp.e19~ (2005)
  16. Chen C, "Searching for intellectual turning points: progressive knowledge domain visualization", Proc Natl Acad Sci U S A, 101(Suppl 1), pp.5303~5310 (2004)
  17. Mane KK, "Mapping topics and topic bursts in PNAS", Proc Natl Acad Sci U S A, 1(Suppl 1), pp.5287~5290 (2004)
  18. Sohn DW, "Social network analysis" (2010), Kyungmun Publisher
  19. He Q, "Knowledge discovery through co-word analysis", Libr Trends, 48(1), pp.133~159 (1999)
  20. Polanco X, "Co-word analysis revisited: Modeling coword cluster in terms of graph theory", Proceeding of the 10th International Conference of the International Society for Scientometrics and Informetrics, pp.662~663 (2005)
  21. Zhang J, "Mapping the knowledge structure of research on patient adherence: knowledge domain visualization based coword analysis and social network analysis", PLoS One, 7(4), pp.e34497~ (2012)
  22. 장해란, "Application of Social Network Analysis to Health Care Sectors", Healthcare Informatics Research, 18(1), pp.44~56 (2012), 대한의료정보학회
  23. 정민수, "국내 예방의학 분야의 공저자 · 핵심어 네트워크와 군집 양상-대한예방의학회지(1991~2006) 게재논문의 분석-", 예방의학회지, 41(1), pp.1~9 (2008), 대한예방의학회
  24. Jung MS, "Academic research activities and their coauthor and keyword network in epidemiology fields:analysis of papers in the Korean Journal of Epidemiology, 1991-2006", Korean J Epidemiol, 30(1), pp.60~72 (2008)
  25. 정상원, "Knowledge Structure of Korean Medical Informatics: A Social Network Analysis of Articles in Journal and Proceedings", Healthcare Informatics Research, 16(1), pp.52~59 (2010), 대한의료정보학회
  26. 이수경, "한국 간호학 연구주제의 사회 연결망 분석", Journal of Korean Academy of Nursing, 41(5), pp.623~632 (2011), 한국간호과학회
  27. Research network analysis for the national science knowledge map, "Lee YS", Korea Research Council of Fundamental Science and Technology, ~ (2010)
  28. Sohn DK, "Generation and analysis of the research network for colorectal neoplasms", pp.2011
  29. Kim YH, "Social network analysis" (2007), Pakyoungsa
  30. Faust K, "Comparing social networks: size, density, and local structure", Metodoloski zvezki, 3(2), pp.185~216 (2006)
  31. Bogatti SP, "Centrality and network flow", Soc Networks, 27(1), pp.55~71 (2005)
  32. Adamic LA, "Search in power-law networks", Phys Rev E Stat Nonlin Soft Matter Phys, 64(4 Pt 2), pp.046135~ (2001)
  33. Callon M, "Co-word analysis as a tool for describing the network of interactions between basic and technological research: the case of polymer chemistry", Scientometrics, 22(1), pp.153~205 (1991)
  34. Wang X, "The “small-world” characteristic of author co-words network", Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing, pp.3717~3720 (2007)
  35. 이재윤, "계량서지적 네트워크 분석을 위한 중심성 척도에 관한 연구", 한국문헌정보학회지, 40(3), pp.191~214 (2006), 한국문헌정보학회
  36. Boyack KW, "Co-citation analysis, bibliographic coupling, and direct citation: which citation approach represents the research front most accurately?", JASIST, 61(12), pp.2389~2404 (2010)
  37. 여운동, "국가적 차원의 유망연구영역 탐색 : Scopus 데이터베이스를 이용한 과학계량학적 접근", Journal of Information Science Theory and Practice, 39(3), pp.95~113 (2008), 한국과학기술정보연구원
  38. 허선, "국내외 의학논문 데이터베이스 현황", 대한의사협회지, 53(8), pp.659~667 (2010), 대한의사협회
  39. Kim SY, "From MeSH indexed to retrieval" (2008), Korean Medical Library Association
  40. 권애경, "MeSH를 확장한 한국보건의료정보분야 주제어 연구 : 대한의료정보학회지를 중심으로", Healthcare Informatics Research, 8(4), pp.1~11 (2002), 대한의료정보학회
  41. Stagmann J, "Hypothesis generation guided by co-word clustering", Scientometrics, 56(1), pp.111~135 (2003)
  42. An XY, "Co-word analysis of the trends in stem cells field based on subject heading weighting", Scientometrics, 88(1), pp.133~144 (2011)
  43. Osphal T, "Node centrality in weighted networks: generalizing degree and shortest paths", Soc Networks, 32(3), pp.245~251 (2010)
  44. Zheng HC, "Mapping the history and current situation of research on John Cunningham virus: a bibliometric analysis", BMC Infect Dis, 9, pp.28~ (2009)

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