Building a computer program to support children, parents, and distraction during healthcare procedures

CIN - Computers Informatics Nursing

Volumn 30, Issue 10, 2012, Pages 554-561

  Hanrahan, Kirsten ^a   McCarthy, Ann Marie ^b   Kleiber, Charmaine ^b   Ataman, Kaan ^c   Street, W Nick ^d   Zimmerman, M Bridget ^e   Ersig, Anne L ^b  

^a UNIVERSITY OF IOWA HOSPITALS AND CLINICS   (United States)

^b UNIVERSITY OF IOWA COLLEGE OF NURSING   (United States)

^c CHAPMAN UNIVERSITY   (United States)

^d UNIVERSITY OF IOWA   (United States)

^e Biostatistics Consulting Center   (United States)

Author keywords

Children; Data mining; Decision support; Distress; Methods; Parent; Procedure

Indexed keywords

ADULT; ARTICLE; CHILD; CHILD HEALTH CARE; COMPUTER PROGRAM; HUMAN; MENTAL STRESS; ORGANIZATION AND MANAGEMENT; PARENT; PSYCHOLOGICAL MODEL; SUPPORT VECTOR MACHINE; VALIDATION STUDY;

ADULT; CHILD; CHILD HEALTH SERVICES; HUMANS; MODELS, PSYCHOLOGICAL; PARENTS; SOFTWARE; STRESS, PSYCHOLOGICAL; SUPPORT VECTOR MACHINES;

EID: 84868468552     PISSN: 15382931     EISSN: None     Source Type: Journal    
DOI: 10.1097/NXN.0b013e31825e211a     Document Type: Article

References (24)

1. McCarthy AM, Kleiber C. A conceptual model of factors influencing children's responses to a painful procedure when parent distraction is provided. Nurs Res. 2006;59:407-416.
2. von Baeyer CL, Marche TA, Rocha EM, Salmon K. Children's memory for pain: overview and implications for practice. J Pain. 2004;5:241-249.
3. Zempsky WT, Schechter NL. What's new in the management of pain in children. Pediatr Rev. 2003;24:337-348. (Pubitemid 37176682)
4. Taddio A, Katz J. The effects of early pain experience in neonates on pain responses in infancy and childhood. Paediatr Drugs. 2005;7: 245-257. (Pubitemid 41623989)
5. Bruce J, Davis EP, Gunnar MR. Individual differences in children's cortisol response to the beginning of a new school year. Psychoneuroendocrinology. 2002;27:635-650. (Pubitemid 34655715)
6. Kudielka BM, Buske-Kirschbaum A, Hellhammer DH, Kirschbaum C. HPA axis responses to laboratory psychosocial stress in healthy elderly adults, younger adults, and children: impact of age and gender. Psychoneuroendocrinology. 2004;29:83-98. (Pubitemid 37303960)
7. Kleiber C, Harper DC. Effects of distraction on children's pain and distress during medical procedures: a meta-analysis. Nurs Res. 1999;48:44-49.
8. Uman LS, Chambers CT, McGrath PJ, Kisely SA. A systematic review of randomized controlled trials examining psychological interventions for needle-related procedural pain and distress in children and adolescents: an abbreviated Cochrane review. J Pediatr Psychol. 2008;33:842-854.
9. Abbott PA, Zytkowski ME. In: Englebardt SP, Nelson R, eds. Health Care Informatics: An Interdisciplinary Approach. St Louis, MO: Mosby; 2002:115-128.
10. McCarthy AM, Kleiber C, Hanrahan K, Zimmerman MB, Westhus N, Allen S. Factors explaining children's responses to intravenous needle insertions. Nurs Res. 2010a;59:407-416.
11. Jay SM, Elliott C. Observation Scale of Behavioral Distress - Revised. Unpublished Scoring Manual. Los Angeles, CA: Psychosocial Program, Children's Hospital of Los Angeles; 1986.
12. Hanrahan KS, McCarthy AM, Kleiber C, Lutgendorf S, Tsalikian E. Strategies for salivary cortisol collection and analysis in research with children. Appl Nurs Res. 2006;19:95-101. (Pubitemid 43737285)
13. McCarthy AM, Hanrahan K, Kleiber C, Zimmerman MB, Lutgendorf S, Tsalikian E. Normative salivary cortisol values and responsivity in children. Appl Nurs Res. 2009;22:54-62.
14. Kazak AE, Penati B, Waibel MK, Blackall GF. The perception of procedures questionnaire: psychometric properties of a brief parent report measure of procedural distress. J Pediatr Psychol. 1996;21: 195-207. (Pubitemid 26112121)
15. Aradine CR, Beyer JE, Tompkins JM. Children's pain perception before and after analgesia: a study of instrument construct validity and related issues. J Pediatr Nurs. 1988;3:11-23.
16. Beyer JE, Aradine CR. Content validity of an instrument to measure young children's perceptions of the intensity of their pain. J Pediatr Nurs. 1986;1:386-395.
17. Kleiber C, McCarthy AM, Hanrahan KS, Myers L, Weathers N. Development of the Distraction Coaching Index. Child Health Care. 2007;36:219-235.
18. McCarthy AM, Kleiber C, Hanrahan K, Zimmerman MB, Westhus N, Allen S. Impact of parent-provided distraction on child responses to an IV insertion. Child Health Care. 2010b;39: 125-141.
19. Tan P, Steinbach M, Kumar V. Introduction to Data Mining. Boston, MA: Pearson Addison Wesley; 2005.
20. Witten IH, Frank E. Data Mining: Practical Machine Learning Tools and Techniques. 2nd ed. San Francisco, CA: Morgan Kauffman; 2005.
21. Hall MA. In: Langley P, ed. Proceedings of the 17th International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann Publishing, Inc; 2000:359-366.
22. Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH. TheWEKA DataMining Software: An Update. ACMSIGKDD Explorations Newsletter. New York, NY: ACM; 2009;11.
23. Smola AJ, SchPlkopf B, M[ller KR. The connection between regularization operators and support vector kernels. Neural Netw. 1998;11:637-649. (Pubitemid 28400264)
24. Berger AM, Berger CR. Data mining as a tool for research and knowledge development in nursing. Comput Inform Nurs. 2004; 22:123-131. (Pubitemid 41632352)