본문 바로가기
KERD
논문KCI 등재

토픽 모델링을 활용한 광범위 선천성 대사이상 신생아 선별검사 관련 온라인 육아 커뮤니티 게시 글 분석: 계량적 내용분석 연구

Analysis of online parenting community posts on expanded newborn screening for metabolic disorders using topic modeling: a quantitative content analysis

0

조회

0

다운로드

1

인용

0

참고문헌

키워드

주제분류간호학

초록

Purpose: As more newborns have received expanded newborn screening (NBS) for metabolic disorders, the overall number of false-positive results has increased. The purpose of this study was to explore the nature of the psychological impacts experienced by mothers related to the NBS process. Methods: An online parenting community in Korea was selected, and questions regarding NBS were collected using web crawling for the period from October 2018 to August 2021. In total, 634 posts were analyzed. The collected unstructured text data were preprocessed, and keyword analysis, topic modeling, and visualization were performed. Results: Of 1,057 words extracted from posts, the top keyword based on ‘term frequency-inverse document frequency’ values was “hypothyroidism,” followed by “discharge,” “close examination,” “thyroid-stimulating hormone levels,” and “jaundice.” The top keyword based on the simple frequency of appearance was “XXX hospital,” followed by “close examination,” “discharge,” “breastfeeding,” “hypothyroidism,” and “professor.” As a result of LDA topic modeling, posts related to inborn errors of metabolism (IEMs) were classified into four main themes: “confirmatory tests of IEMs,” “mother and newborn with thyroid function problems,” “retests of IEMs,” and “feeding related to IEMs.” Mothers experienced substantial frustration, stress, and anxiety when they received positive NBS results. Conclusion: The online parenting community played an important role in acquiring and sharing information, as well as psychological support related to NBS in newborn mothers. Nurses can use this study’s findings to develop timely and evidence-based information for parents whose children receive positive NBS results to reduce the negative psychological impact.

Abstract

Purpose: As more newborns have received expanded newborn screening (NBS) for metabolic disorders, the overall number of false-positive results has increased. The purpose of this study was to explore the nature of the psychological impacts experienced by mothers related to the NBS process. Methods: An online parenting community in Korea was selected, and questions regarding NBS were collected using web crawling for the period from October 2018 to August 2021. In total, 634 posts were analyzed. The collected unstructured text data were preprocessed, and keyword analysis, topic modeling, and visualization were performed. Results: Of 1,057 words extracted from posts, the top keyword based on ‘term frequency-inverse document frequency’ values was “hypothyroidism,” followed by “discharge,” “close examination,” “thyroid-stimulating hormone levels,” and “jaundice.” The top keyword based on the simple frequency of appearance was “XXX hospital,” followed by “close examination,” “discharge,” “breastfeeding,” “hypothyroidism,” and “professor.” As a result of LDA topic modeling, posts related to inborn errors of metabolism (IEMs) were classified into four main themes: “confirmatory tests of IEMs,” “mother and newborn with thyroid function problems,” “retests of IEMs,” and “feeding related to IEMs.” Mothers experienced substantial frustration, stress, and anxiety when they received positive NBS results. Conclusion: The online parenting community played an important role in acquiring and sharing information, as well as psychological support related to NBS in newborn mothers. Nurses can use this study’s findings to develop timely and evidence-based information for parents whose children receive positive NBS results to reduce the negative psychological impact.

참고문헌 (43)

  1. Tae Kyu Kim, "Analysis of Major Factors Affecting False Positive Results in Neonatal Screening Test within 3 Days after Birth", Perinatology, 30(3), pp.154~159 (2019), 대한주산의학회
  2. Lee DH, "The past, present, future of newborn screening in Korea", J Korean Soc Inherit Metab Dis, 14(1), pp.1~9 (2014)
  3. O'Connor K, "Psychosocial impact on mothers receiving expanded newborn screening results", Eur J Hum Genet, 26(4), pp.477~484 (2018)[DOI]
  4. Kim H, "Investigation of false positive rates newborn screening using Tandem Mass Spectrometry(TMS)technology in single center", J Korean Soc Inherit Metab Dis, 16(1), pp.18~23 (2016)
  5. Song WJ, "18-year follow-up of expanded newborn screening for metabolic and endocrine disorders", J Korean Soc Inherit Metab Dis, 18(2), pp.35~42 (2018)
  6. 조성은, "한국에서 탠덤 질량분석기를 이용한 선천성 대사이상질환 신생아 선별검사: 일 개 전문 수탁기관의 경험", Laboratory Medicine Online, 5(4), pp.196~203 (2015), 대한진단검사의학회
  7. Schmidt JL, "The impact of false-positive newborn screening results on families : a qualitative study", Genet Med, 14(1), pp.76~80 (2012)[DOI]
  8. Dinchong R, "Reducing the pyschosocial impact of a false positive newborn screen for inborn errors of metabolism", master, pp.2019
  9. DeLuca J, "Implications of newborn screening for nurses", J Nurs Scholarsh, 45(1), pp.25~33 (2013)[DOI]
  10. Joseph RA, "Expanded newborn screening : challenges to NICU nurses", Adv Neonatal Care, 17(3), pp.151~161 (2017)[DOI]
  11. Malvagia S, "Development of strategies to decrease false positive results in newborn screening", Int J Neonatal Screen, 6(4), pp.84~ (2020)[DOI]
  12. DeLuca JM, "Parents’ experiences of expanded newborn screening evaluations", Pediatrics, 128(1), pp.53~61 (2011)[DOI]
  13. Gehtland LM, "Using a patient portal to increase enrollment in a newborn screening research study : observational study", JMIR Pediatr Parent, 5(1), pp.e30941~ (2022)[DOI]
  14. Abad PJ, "Role of the nurse in newborn screening : Integrating genetics in nursing education and practice", Philipp J Nurs, 89(1), pp.16~21 (2019)
  15. Mak CM, "The first pilot study of expanded newborn screening for inborn errors of metabolism and survey of related knowledge and opinions of health care professionals in Hong Kong", Hong Kong Med J, 24(3), pp.226~237 (2018)[DOI]
  16. Moody L, "Healthcare professionals’ and parents’ experiences of the confirmatory testing period : a qualitative study of the UK expanded newborn screening pilot", BMC Pediatr, 17(1), pp.121~ (2017)[DOI]
  17. Newcomb P, "Informing new mothers about newborn screening bloodspot repositories during postpartum hospitalization", MCN Am J Matern Child Nurs, 44(6), pp.332~337 (2019)[DOI]
  18. Park SH, "Analysis of women’s concern about pregnancy and child birth in the internet community", Perspect Nurs Sci, 17(1), pp.49~60 (2020)[DOI]
  19. 유미애, "어머니의 인터넷 건강정보이해능력, 건강정보지향과 인터넷을 통한 사회적 지지가 아동의 건강증진행위에 미치는 영향", 보건정보통계학회지, 46(2), pp.221~229 (2021), 한국보건정보통계학회
  20. Moon RY, "Mothers’ perceptions of the internet and social media as sources of parenting and health information : qualitative study", J Med Internet Res, 21(7), pp.e14289~ (2019)[DOI]
  21. 유정옥, "인터넷 육아커뮤니티에 나타난 영유아 어머니의 양육 관련 질문 내용 분석", 한국모자보건학회지, 24(4), pp.234~243 (2020), 한국모자보건학회[DOI]
  22. Blei DM, "Probabilistic topic models", Communications ACM, 55(4), pp.77~84 (2012)[DOI]
  23. 이정림, "임신성 당뇨와 모유수유에 대한 연구 동향 분석: 텍스트네트워크 분석과 토픽모델링 중심", 한국간호교육학회지, 27(2), pp.175~185 (2021), 한국간호교육학회[DOI]
  24. Cyram Inc, "CYRAM NetMiner 4.4 program", Cyram Inc, ~ (2021)
  25. Statistics Korea, "The 8th Korean Standard Classification of Diseases and Causes", Statistics Korea, ~ (2020)
  26. 정성지, "토픽 모델링을 적용한 국내 환경교육 연구 동향: 『환경교육』 학술지를 중심으로", 환경교육, 33(2), pp.231~246 (2020), 한국환경교육학회[DOI]
  27. 이수상, "독후감 텍스트의 토픽모델링 적용에 관한 탐색적 연구", 한국도서관·정보학회지, 47(4), pp.1~18 (2016), 한국도서관·정보학회[DOI]
  28. Naili M, "Arabic topic identification based on empirical studies of topic models", ARIMA Journal, 27, pp.45~59 (2017)[DOI]
  29. Mehta V, "Evaluating topic quality using model clustering", Paper presented at: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp.178~185 (2014), IEEE
  30. 홍기배, "미숙아에서의 갑상선기능 장애", Clinical and Experimental Pediatrics, 52(9), pp.991~998 (2009), 대한소아청소년과학회
  31. Conway M, "Pain points in parents' interactions with newborn screening systems : a qualitative study", BMC Pediatr, 22(1), pp.167~ (2022)[DOI]
  32. 박주형, "미숙아의 갑상선 기능 선별검사와 연관된 주산기 인자", Perinatology, 27(1), pp.45~52 (2016), 대한주산의학회
  33. Yoon HR, "Evaluation of the congenital hypothyroidism for newborn Screening program in Korea : a 14-year retrospective cohort study", J Korean Soc Inherit Metab Dis, 19(1), pp.1~11 (2019)
  34. de Miranda KS, "Barriers experienced by nurses in newborn screening : a integrative review", Revista de Atenção à Saúde, 8(66), pp.247~256 (2020)[DOI]
  35. Timmermans S, "Patients-in-waiting : living between sickness and health in the genomics era", J Health Soc Behav, 51(4), pp.408~423 (2010)[DOI]
  36. Kamleh M, "Reduction in newborn screening false positive results following a new collection protocol : a quality improvement project", J Pediatr Pharmacol Ther, 26(7), pp.723~727 (2021)[DOI]
  37. Rosettenstein KR, "A systematic review of the outcomes of false-positive results on newborn screening for congenital hypothyroidism", Clin Endocrinol(Oxf), 95(5), pp.766~781 (2021)[DOI]
  38. IJzebrink A, "Informing parents about newborn screening : a European comparison study", Int J Neonatal Screen, 7(1), pp.13~ (2021)[DOI]
  39. Whittemore B, "A newborn screening disorders online portal for the primary care providers and parents", doctor, pp.2019
  40. Barr JA, "Current practice for genetic counselling by nurses : an integrative review", Int J Nurs Pract, 24(2), pp.e12629~ (2018)[DOI]
  41. 최경숙, "유전간호교육 교과과정에 관한 연구", Asian Oncology Nursing, 10(1), pp.103~111 (2010), 대한종양간호학회
  42. 최현경, "간호대학생이 인지하는 유전학에 대한 지식과 태도 및 유전간호 역량", Journal of Korean Biological Nursing Science, 16(2), pp.69~79 (2014), 한국기초간호학회[DOI]
  43. Sohn YB, "A diagnostic algorithm of newborn screening for galactosemia", J Korean Soc Inherit Metab Dis, 15(3), pp.101~109 (2015)

이 간행물의 다른 논문 (7건)