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Investigating Parents’ Attitude Towards Using Intelligent Solutions in Care Process: The Case of Paediatric Congenital Heart Disease

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Contemporary Consumer Health Informatics

Part of the book series: Healthcare Delivery in the Information Age ((Healthcare Delivery Inform. Age))

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Abstract

Complex paediatric disease may take a great advantage of using intelligent solutions to facilitate care processes for parents as well as care providers. Hence, due to the importance of consumers’ empowerment in care process, this study is performed to collect parents’ attitude, towards the use of intelligent decision support solutions to analyse their needs and preferences. In this research, a survey is conducted among patients’ parents affected by paediatric congenital heart disease (CHD), in one of the biggest children’s hospitals in Victoria, Australia. The study findings are divided into aspects of motivators and barriers in relation to how a computer-based intelligent solution is perceived and to be used by patients’ parents.

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References

  • (AIHW), A. I. O. H. A. W. (2009). Impact of falling cardiovascular disease death rates: Deaths delayed and years of life extended. (Online). http://www.aihw.gov.au/publications/aus/bulletin70. Accessed 20 May 2010.

  • Amin, S. U., Agarwal, K., & Beg, R. (2013). Data mining in clinical decision support systems for diagnosis, prediction and treatment of heart disease. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2(1), 218–223.

    Google Scholar 

  • Barry, M. J., & Edgman-Levitan, S. (2012). Shared decision making—the pinnacle of patient-centered care. New England Journal of Medicine, 366, 780–781.

    Article  CAS  PubMed  Google Scholar 

  • Bates, D. W., Kuperman, G. J., Wang, S., Gandhi, T., Kittler, A., Volk, L., Spurr, C., Khorasani, R., Tanasijevic, M., & Middleton, B. (2003). Ten commandments for effective clinical decision support: Making the practice of evidence-based medicine a reality. Journal of the American Medical Informatics Association, 10, 523–530.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ben-Amitay, G., Korov, I., Reiss, A., Toren, P., Yoran-Hagesh, R., Kotler, M., & Mozes, T. (2006). Is elective surgery traumatic for children and their parents? Journal Pediatrics and Child Health, 42, 618–624.

    Article  Google Scholar 

  • Berenson, J., Doty, M. M., Abrams, M. K., & Shih, A. (2012). Achieving better quality of care for low-income populations: The roles of health insurance and the medical home in reducing health inequities. Issue Brief (The Commonweath Fund), 11, 1–18.

    PubMed  Google Scholar 

  • Bernabe, R. D., Thiel, G. J. v., Raaijmakers, J. A., & Delden, J. J. v. (2012). Decision theory and the evaluation of risks and benefits of clinical trials. Drug Discovery Today.

    Google Scholar 

  • Blumenthal, D., & Glaser, J. P. (2007). Information technology comes to medicine. The New England Journal of Medicine, 356, 2527–2534.

    Article  CAS  PubMed  Google Scholar 

  • Boyatzis, R. E. (1998). Transforming qualitative information: Thematic analysis and code development. USA: Sage.

    Google Scholar 

  • Brunette, M. F., Ferron, J. C., Mchugo, G. J., Davis, K. E., Devitt, T. S., Wilkness, S. M., & Drake, R. E. (2011). An electronic decision support system to motivate people with severe mental illnesses to quit smoking. Psyciatric Services, 62(4), 360–366.

    Google Scholar 

  • Casey, F. A., Sykes, D. H., Craig, B. G., Power, R., & Mulholland, H. C. (1996). Behavioral adjustment of children with surgically palliated complex congenital heart disease. Pediatric Psychology, 21, 335–352.

    Article  CAS  Google Scholar 

  • Candelieri, A., Conforti, D., Sciacqua, A., & Perticone, F. (2009). Knowledge discovery approaches for early detection of decompensation conditions in heart failure patients. Paper presented at the Ninth International Conference on Intelligent Systems Design and Applications.

    Google Scholar 

  • Charles, C., Gafni, A., & Whelan, T. (1997). Shared decision-making in the medical encounter: What does it mean?(or it takes at least two to tango). Social Science & Medicine, 44(5), 681–692.

    Article  CAS  Google Scholar 

  • Cousin, G., Schmid Mast, M., Roter, D. L., & Hall, J. A. (2012). Concordance between physician communication style and patient attitudes predicts patient satisfaction. Patient Education and Counseling, 87, 193–197.

    Article  PubMed  Google Scholar 

  • De Matos, P., Cham, J. A., Cao, H., Alcántara, R., Rowland, F., Lopez, R., & Steinbeck, C. (2013). The enzyme portal: A case study in applying user-centred design methods in bioinformatics. BMC Bioinformatics, 14, 103.

    Article  PubMed  PubMed Central  Google Scholar 

  • De Graaf, M., Totté, J. E., Van Os-Medendorp, H., Van Renselaar, W., Breugem, C. C., & Pasmans, S. G. (2014). Treatment of infantile hemangioma in regional hospitals with ehealth support: Evaluation of feasibility and acceptance by parents and doctors. JMIR Research Protocols, 3,(5), e52.

    Article  PubMed  PubMed Central  Google Scholar 

  • Deegan, P., & Drake, R. (2006). Shared decision making and medication management in the recovery process. Psychiatric Services, 57, 1636–1639.

    Article  PubMed  Google Scholar 

  • Díaz, A., García, A., & Gervás, P. (2008). User-centred versus system-centred evaluation of a personalization system. Information Processing & Management, 44, 1293–1307.

    Article  Google Scholar 

  • Edwards, A., & Elwyn, G. (2009). Shared decision-making in health care: Achieving evidence-based patient choice. USA: Oxford University Press.

    Google Scholar 

  • Flight, I. H., Wilson, C. J., Zajac, I. T., Hart, E., & Mcgillivray, J. A. (2012). Decision support and the effectiveness of web-based delivery and information tailoring for bowel cancer screening: an exploratory study. JMIR Research Protocols, 1, e12.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gentles, S. J., Lokker, C., & Mckibbon, K. A. (2010). Health information technology to facilitate communication involving health care providers, caregivers, and pediatric patients: A scoping review. Journal of Medical Internet Research, 12(2), e22.

    Article  PubMed  PubMed Central  Google Scholar 

  • Glesne, C., & Peshkin, A. (1992). Becoming qualitative researchers: An introduction. New York: Longman White Plains.

    Google Scholar 

  • Goldberg, A. L., & Rock, K. L. (1992). Proteolysis, proteasomes and antigen presentation (Online). http://www.nature.com/doifinder/. Accessed 10 May 2010.

  • Gosain, A., & Kumar, A. (2009). Analysis of health care data using different data mining techniques. Paper presented at the International Conference on Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. Chennai.

    Google Scholar 

  • Haug, P. J., Gardner, R. M., Evans, R. S., Rocha, B. H., & Rocha, R. A. (2007). Clinical decision support at intermountain healthcare. In E. Berner (Ed.), Clinical decision support systems: Theory and Practice (pp. 159–189). Springer.

    Google Scholar 

  • Head, S. J., Bogers, A. J. J. C., Serruys, P. W., Takkenberg, J. J. M., & Kappetein, A. P. (2011). A crucial factor in shared decision making: The team approach. Lancet, 377, 1836.

    Article  PubMed  Google Scholar 

  • Horsky, J., Schiff, G. D., Johnston, D., Mercincavage, L., Bell, D., & Middleton, B. (2012). Interface design principles for usable decision support: A targeted review of best practices for clinical prescribing interventions. Journal of Biomedical Informatics, 45, 1202–1216.

    Article  PubMed  Google Scholar 

  • Hospital, N. C. S. (2010). Infants born with complex congenital heart disease also at risk for life-threatening gastrointestinal diseases (Online). http://www.news-medical.net/news/. Accessed 29 May 2010.

  • Johnson, M. P., Zheng, K., & Padman, R. (2014). Modeling the longitudinality of user acceptance of technology with an evidence-adaptive clinical decision support system. Decision Support Systems, 57, 444–453.

    Article  Google Scholar 

  • Jones, S. S., Rudin, R. S., Perry, T., & Shekelle, P. G. (2014). Health information technology: An updated systematic review with a focus on meaningful use. Annals of Internal Medicine, 160, 48–54.

    Article  PubMed  Google Scholar 

  • Kennedy, A. D. M., Sculpher, M. J., Coulter, A., Dwyer, N., Rees, M., Abrams, K. R., Horsley, S., Cowley, D., Kidson, C., & Kirwin, C. (2002). Effects of decision aids for menorrhagia on treatment choices, health outcomes, and costs. JAMA: The Journal of the American Medical Association, 288, 2701–2708.

    Article  PubMed  Google Scholar 

  • Kiesler, D. J., & Auerbach, S. M. (2006a). Optimal matches of patient preferences for information, decision-making and interpersonal behavior: Evidence, models and interventions. Patient Education and Counseling, 61(3), 319–314.

    Article  PubMed  Google Scholar 

  • Kiesler, D. J., & Auerbach, S. M. (2006b). Optimal matches of patient preferences for information, decision-making and interpersonal behavior: Evidence, models and interventions. Patient Education and Counseling, 61, 319–341.

    Article  PubMed  Google Scholar 

  • Kuhn, K., Wurst, S., Bott, O., & Giuse, D. (2006). Expanding the scope of health information systems. IMIa Yearbook of Medical Informatics Methods of Information in Medicine, 45(suppl 1), S43–S52.

    Google Scholar 

  • Larrazabal, L. A., Jenkins, K. J., Gauvreau, K., Vida, V. L., Benavidez, O. J., Gaitán, G. A., Garcia, F., & Castañeda, A. R. 2007. Improvement in congenital heart surgery in a developing country: The Guatemalan experience. Circulation, 116, 1872–1877.

    Article  Google Scholar 

  • Légaré, F., Stacey, D., Pouliot, S., Gauvin, F. P., Desroches, S., Kryworuchko, J., Dunn, S., Elwyn, G., Frosch, D., & Gagnon, M. P. (2011). Interprofessionalism and shared decision-making in primary care: A stepwise approach towards a new model. Journal of Interprofessional Care, 25, 18–25.

    Article  PubMed  Google Scholar 

  • Makoul, G., & Clayman, M. L. (2006). An integrative model of shared decision making in medical encounters. Patient Education and Counseling, 60, 301.

    Article  PubMed  Google Scholar 

  • Mantzana, V., Themistocleous, M., Irani, Z., & Morabito, V. (2007). Identifying healthcare actors involved in the adoption of information systems. European Journal of Information Systems, 16(1), 91–102.

    Google Scholar 

  • Mitchell, S. J., Godoy, L., Shabazz, K., & Horn, I. B. (2014). Internet and mobile technology use among urban African American parents: Survey study of a clinical population. Journal of Medical Internet Research, 16(1), e9.

    Article  PubMed  PubMed Central  Google Scholar 

  • Musen, M. A., Middleton, B., & Greenes, R. A. (2014). Clinical decision-support systems. In E. H. Shrotliffe & J. J. Cimmino (Ed.), Biomedical informaitcs (pp. 643–674). London: Springer.

    Google Scholar 

  • O’Brien, M. S., Crickard, E. L., Rapp, C., Holmes, C., & Mcdonald, T. (2011). Critical issues for psychiatric medication shared decision making with youth and families. Families in Society, 93, 310–316.

    Article  Google Scholar 

  • O’Connor, A., Bennett, C., Stacey, D., Barry, M., Col, N., Eden, K., Entwistle, V., Fiset, V., Holmes-Rovner, M., & Khangura, S. (2009). Decision aids for people facing health treatment or screening decisions (Review). The Cochrane Collaboration published in the Cochrane Library, 3. http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD001431.pub2/full. Accessed Dec 2014.

  • Padhy, N., Mishra, P., & Panigrahi, R. (2012). The survey of data mining applications and feature scope. International Journal of Computer Science, Engineering & Information Technology, 2(3).

    Google Scholar 

  • Parsons, S., Harding, G., Breen, A., Foster, N., Pincus, T., Vogel, S., & Underwood, M. (2012). Will shared decision making between patients with chronic musculoskeletal pain and physiotherapists, osteopaths and chiropractors improve patient care? Family Practice, 29, 203–212.

    Article  CAS  PubMed  Google Scholar 

  • Pentz, R. D., Pelletier, W., Alderfer, M. A., Stegenga, K., Fairclough, D. L., & Hinds, P. S. (2012). Shared decision-making in pediatric allogeneic blood and marrow transplantation: What if there is no decision to make? The Oncologist, 17(6), 881–885.

    Article  PubMed  PubMed Central  Google Scholar 

  • Peter, T., & Somasundaram, K. (2012). An empirical study on prediction of heart disease using classification data mining techniques. Paper presented at the Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on.

    Google Scholar 

  • Say, R., Murtagh, M., & Thomson, R. (2006). Patients’ preference for involvement in medical decision making: A narrative review. Patient Education and Counseling, 60, 102–114.

    Article  PubMed  Google Scholar 

  • Schauer, C., Everett, A., Del Vecchio, P., & Anderson, L. (2007). Promoting the value and practice of shared decision-making in mental health care. Psychiatric Rehabilitation Journal, 31, 54–61.

    Article  PubMed  Google Scholar 

  • Scholl, I., Loon, M. K., Sepucha, K., Elwyn, G., Légaré, F., Härter, M., & Dirmaier, J. (2011). Measurement of shared decision making—a review of instruments. Zeitschrift für Evidenz. Fortbildung und Qualität im Gesundheitswesen, 105, 313–324.

    Article  Google Scholar 

  • Sheridan, S. L., Harris, R. P., & Woolf, S. H. (2004). Shared decision making about screening and chemoprevention. American Journal of Preventive Medicine, 26, 56–66.

    Article  PubMed  Google Scholar 

  • Srinivas, K., Rani, B. K., & Govrdha, A. (2010). Applications of data mining techniques in healthcare and prediction of heart attacks. International Journal on Computer Science & Engineering, 2(2).

    Google Scholar 

  • Silka, J., Hardy, G., Menashe, D., & Morris, D. (1998). A population-based prospective evaluation of risk of sudden cardiac death after operation for common congenital heart defects pediatric cardiology and medical informatics and clinical outcomes. USA Published by the American College of Cardiology Foundation.

    Google Scholar 

  • Singer, J., & Vinson, N. (2002). Ethical issues in empirical studies of software engineering. IEEE Transactions on Software Engineering, 28(12), 1171–1180.

    Google Scholar 

  • Trafton, J. A., Martins, S. B., Michel, M. C., Wang, D., Tu, S. W., Clark, D. J., Elliott, J., Vucic, B., Balt, S., & clark, M. E. (2010). Research article Designing an automated clinical decision support system to match clinical practice guidelines for opioid therapy for chronic pain.

    Google Scholar 

  • Van Der Weijden, T., Van Veenendaal, H., Drenthen, T., Versluijs, M., Stalmeier, P., Loon, M. K., Stiggelbout, A., & Timmermans, D. (2011). Shared decision making in the Netherlands, is the time ripe for nationwide, structural implementation? Zeitschrift für Evidenz. Fortbildung und Qualität im Gesundheitswesen, 105, 283–288.

    Article  Google Scholar 

  • Vredenburg, K., Mao, J. Y., Smith, P. W., & Carey, T. (2002). A survey of user-centered design practice. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 471–478). ACM.

    Google Scholar 

  • Whitney, S. N., Mcguire, A. L., & McCullough, L. B. (2003). A typology of shared decision making, informed consent, and simple consent. Annals of Internal Medicine, 140, 54–59.

    Article  Google Scholar 

  • Whitney, S. N., Mcguire, A. L., & McCullough, L. B. (2004). A typology of shared decision making, informed consent, and simple consent. Annals of Internal Medicine, 40, 54–61.

    Article  Google Scholar 

  • Yen, P.-Y., & Bakken, S. (2011). Review of health information technology usability study methodologies. Journal of the American Medical Informatics Association, 19(3), 413–422 (amiajnl-2010–000020).

    Article  PubMed  PubMed Central  Google Scholar 

  • Yin, R. K. (1994). Case study research: Design and methods. CA: Thousand Oaks.

    Google Scholar 

  • Yin, R. K. (2003). Case study research: Design and methods. CA: Sage.

    Google Scholar 

  • Yoo,Y., Boland, R., Lyytinen, K., & Majchrzak, A. (2012). Organizing for innovation in the digitized world. Organization Science, 23(5), 1398–1408.

    Google Scholar 

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Moghimi, H., Wickramasinghe, N. (2016). Investigating Parents’ Attitude Towards Using Intelligent Solutions in Care Process: The Case of Paediatric Congenital Heart Disease. In: Wickramasinghe, N., Troshani, I., Tan, J. (eds) Contemporary Consumer Health Informatics. Healthcare Delivery in the Information Age. Springer, Cham. https://doi.org/10.1007/978-3-319-25973-4_23

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  • DOI: https://doi.org/10.1007/978-3-319-25973-4_23

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