Evaluating acceptance and user experience of a guideline-based clinical decision support system execution platform

Journal of Medical Systems

Volumn 37, Issue 2, 2013, Pages

  Buenestado, David ^a   Elorz, Javier ^b   Pérez Yarza, Eduardo G ^c   Iruetaguena, Ander ^a   Segundo, Unai ^a   Barrena, Raúl ^a   Pikatza, Juan M ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

^b HOSPITAL DE BASURTO   (Spain)

^c HOSPITAL DONOSTIA   (Spain)

Author keywords

Clinical decision support systems; Computer interpretable guidelines and protocols; Technology acceptance

Indexed keywords

ADULT; ARTICLE; ASTHMA; CLINICAL DECISION SUPPORT SYSTEM; CLINICAL EVALUATION; CLINICAL PROTOCOL; CORRELATION ANALYSIS; DECISION SUPPORT SYSTEM; FEMALE; HUMAN; MALE; PEDIATRICIAN; PERSONAL EXPERIENCE; PHYSICIAN ATTITUDE; PRACTICE GUIDELINE; QUESTIONNAIRE; STATISTICAL SIGNIFICANCE; ATTITUDE TO COMPUTERS; COMPUTER PROGRAM; ELECTRONIC MEDICAL RECORD; MASS COMMUNICATION; MEDICAL STAFF; MIDDLE AGED; PSYCHOLOGY;

ADULT; ASTHMA; ATTITUDE TO COMPUTERS; DECISION SUPPORT SYSTEMS, CLINICAL; DIFFUSION OF INNOVATION; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; MALE; MEDICAL STAFF, HOSPITAL; MIDDLE AGED; PRACTICE GUIDELINES AS TOPIC; QUESTIONNAIRES; SOFTWARE;

EID: 84873360949     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-012-9910-7     Document Type: Article

References (31)

1. Field, M., and Lohr, K. (Eds.), Clinical practice guidelines: Directions for a new program. Washington, DC: Institute of Medicine, National Academy Press, 1990.
2. Rosenfeld, R., and Shiffman, R., Clinical practice guideline development manual: A quality-driven approach for translating evidence into action. Otolaryngol. Head Neck Surg. 140(6 Suppl 1):1-43, 2009.
3. Isern, D., and Moreno, A., Computer-based execution of clinical guidelines: A review. Int. J. Med. Inform. 77:787-808, 2008.
4. Tu, S., Campbell, J.R., Glasgow, J., Nyman, M.A., McClure, R., McClay, J., Parker, C., Hrabak, K.M., Berg, D., Weida, T., Mansfield, J.G., Musen, M.A. and Abarbanel, R.M., The sage guideline model: Achievements and overview. J. Am. Med. Inform. Assoc. 14(5):589-598, 2007.
5. Latoszek-Berendsen, A., Tange, H., van den Herik, H., and Hasman, A., From clinical practice guidelines to computer-interpretable guidelines. Methods Inf. Med. 49:550-570, 2010.
6. Lugtenberg, M., van Schaick, J.M.Z., Westert, G.P., and Burgers, J.S., Why don't physicians adhere to guideline recommendations in practice? An analysis of barriers among dutch general practitioners. Implement. Sci. 4:54, 2009.
7. Bracha, Y., Brottman, G.M., and Carlson, A., Physicians, guidelines and cognitive tasks. Eval. Health Prof. 34:309-335, 2011.
8. Spallek, H., Song, M., Polk, D.E., Bekhuis, T., Frantsve-Hawley, J., and Aravamudhan, K., Barriers to implementing evidence-based clinical guidelines: A survey of early adopters. J. Evid. Based Dent. Pract. 10:195-206, 2010.
9. Bouaud, J., Séroussi, B., Falcoff, H., and Venot, A., Design factors for success or failure of guideline-based decision support systems: An hypothesis involving case complexity. In: Proceedings of The AMIA Annual Symposium. pp. 71-75, 2006.
10. Damiani, G., Pinnarelli, L., Colosimo, S., Almiento, R., Sicuro, L., Galasso, R., Somella, L., and Ricciardi, W., The effectiveness of computerized clinical guidelines in the process of care: A systematic review. BMC Health Serv. Res. 10:2, 2010.
11. Heselmans, A., de Velde, S.V., Donceel, P., Aertgeerts, B., and Ramaekers, D., Effectiveness of electronic guideline-based implementation systems in ambulatory care settings - a systematic review. Implement. Sci. 4:82, 2009.
12. Barrena, R., Pikatza, J.M., Iruetaguena, A., Segundo, U., Buenestado, D., Elorz, J., and Aldamiz-Echevarria, L., e-Guidesmed: support for translation of clinical guidelines. In: Moen, A. (Ed.), XXIII International Conference of the European Federation for Medical Informatics, MIE 2011/CD/Demonstrations, 2011.
13. Pikatza, J.M., Iruetaguena, A., Buenestado, D., Segundo, U., Garcia, J.J., Aldamiz-Echevarria, L., Elorz J., Barrena, R., and Sanjurjo, P., Towards an effective knowledge translation of clinical guidelines and complementary information. In: Advances in Intelligent and Soft-Computing Series of Springer Verlag. Vol. 79, pp. 409-416, 2010.
14. Davids, F.D., Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3):319-340, 1989.
15. Yousafzai, S.Y., Foxall, G.R., and Pallister, J.G., Technology acceptance: A meta-analysis of the tam: Part 1. J. Mod. Manag. 2(3):251-280, 2007.
16. Holden, R.J., and Karsh, B.T., The technology acceptance model: Its past and its future in health care. J. Biomed. Inform. 43(1):159-172, 2010.
17. Wilkins, M.A., Fact ors influencing acceptance of electronic health records in hospitals. Perspect. Health Inf. Manag. 6(1f), 2009.
18. Fishbein, M., and Ajzen, I., Belief, attitude, intentions and behaviour: An introduction to theory and research. Reading, MA: Addison-Westley, 1975.
19. Yan, H., and Yoo, Y., It's all about attitude: Revisiting the technology acceptance model. Decis. Support. Syst. 38:19-31, 2004.
20. Venkatesh, V., and Davis, F.D., A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manag. Sci. 46(2):186-204, 2000.
21. Venkatesh, V., and Bala, H., Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2):273-315, 2008.
22. Venkatesh, V., Morris, M.G., Davis, G.B., and Davids, F.D., User acceptance of information technology: Toward a unified view. MIS Q. 27(3):425-478, 2003.
23. Peleg, M., Shachak, A., Wang, D., and Karnieli, E., Using multi-perspective methodologies to study users interactions with the prototype front end of a guideline-based decision support system for diabetic foot care. Int. J. Med. Inform. 78:482-493, 2009.
24. Melas, C.D., Zampetakis, L.Z., Dimopoulou, A., and Moustakis, V., Modeling the acceptance of clinical information systems among hospital medical staff: An extended tam model. J. Biomed. Inform. 44:553-564, 2011.
25. Orruno, E., Gagnon, M.P., Asua, J., and Abdeljelilre, A.B., Evaluation of teledermatology adoption by health-care professionals using a modified technology acceptance model. J. Telemed. Telecare 17(6):303-307, 2011.
26. Gagnon, M.P., Orruo, E., Asua, J., Abdeljelil, A.B., and Emparanza, J., Using a modified technology acceptance model to evaluate health professionals' adoption of a new telemonitoring system. Telemed. J. E. Health 18:54-59, 2012.
27. Trafton, J., Martins, S., Michel, M., Lewis, E., Wang, D., Combs, A., Scates, N., Tu, S., and Goldstein, M.K., Evaluation of the acceptability and usability of a decision support system to encourage safe and effective use of opioid therapy for chronic, noncancer pain by primary care providers. Pain Med. 11:575-585, 2010.
28. Lomotan, E., Hoeksema, L.J., Edmonds, D.E., RamI'rez-Garnica, G., Shiffman, R.N., and Horwitz, L.I., Evaluating the use of a computerized clinical decision support system for asthma by pediatric pulmonologist. Int. J. Med. Inform. 81:157-165, 2012.
29. Osakidetza - Basque Health Service Healthcare Department of the Basque Government, Guia de Practica Clinica sobre Asma. Basque Country, Spain: Donostia-San Sebastian, 2006.
30. British Thoracic Society, Scottish Intercollegiate Guidelines Network (SIGN). British Intercollegiate Network. British Guideline on the Management of Asthma. Edinburgh, Scotland, UK, 2008 (updated 2012).
31. Nielsen, J., Estimating the number of subjects needed for a thinking aloud test. Int. J. Hum. Comput. Interact. 41:385-97, 1994.