Nurses' Role in Implementing and Sustaining Acute Telemedicine: A Mixed-Methods, Pre-Post Design Using an Extended Technology Acceptance Model.


Journal

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
ISSN: 1547-5069
Titre abrégé: J Nurs Scholarsh
Pays: United States
ID NLM: 100911591

Informations de publication

Date de publication:
01 2020
Historique:
accepted: 12 06 2019
pubmed: 12 9 2019
medline: 15 12 2020
entrez: 12 9 2019
Statut: ppublish

Résumé

Technology-based systems like telemedicine are frequently being implemented into healthcare settings, impacting clinician practices. Little is known about factors influencing acute telemedicine uptake, if factors differ across time, or between nurses and non-nurses. A mixed-methods, pre-post design with implementation of a new acute stroke telemedicine service. A survey based on an extended Technology Acceptance Model (TAM) was administered to clinicians involved in acute stroke care at 16 regional hospitals (2014-2017). Open-ended questions postimplementation (at 6 months) included strengths of the program and areas to improve. Subsequently, a secondary analysis of nurses' semistructured interviews at the first telemedicine site (2010-2011) was completed to provide greater explanatory detail. Surveys were completed by nurses (preimplementation n = 77, postimplementation n = 92) and non-nurses (pre n = 90, post n = 44). Preimplementation, perceived usefulness was the only significant predictor of intending to use telemedicine for nurses, while perceived ease of use and social influence were significant for non-nurses. Postimplementation, perceived usefulness was significant for both groups, as was facilitating conditions for nurses. Specific examples aligned to TAM categories from our detailed interviews (n = 11 nurses) included perceived usefulness (improved clinical support and patient care), perceived ease of use (technical, clinical aspects), facilitating conditions (setting, education, confidence), and social influence (working relationships). Important factors for acute stroke telemedicine varied between nurses and non-nurses, and changed after implementation. The benefits of telemedicine should be emphasized to nurses. Preimplementation, more non-nurses wanted systems to be easy. Support in clinical, technical, and relationship aspects of telemedicine consultations is required. Nurses are influential in implementing acute telemedicine, which is complex, with clinical and technical aspects entwined. Evidence-based implementation strategies must be tailored over time, and between nurses and non-nurses, to ensure initial uptake and ongoing use.

Identifiants

pubmed: 31508882
doi: 10.1111/jnu.12509
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

34-46

Informations de copyright

© 2019 Sigma Theta Tau International.

Références

Armfield, N. R., Edirippulige, S. K., Bradford, N., & Smith, A. C. (2014). Telemedicine-is the cart being put before the horse? Medical Journal of Australia, 200(9), 530-533. https://doi.org/10.5694/mja13.11101
Audebert, H. J., Schenkel, J., Heuschmann, P. U., Bogdahn, U., & Haberl, R. L. (2006). Effects of the implementation of a telemedical stroke network: The Telemedic Pilot Project for Integrative Stroke Care (TEMPiS) in Bavaria, Germany. Lancet Neurology, 5(9), 742-748.
Australasian College for Emergency Medicine. (2014). Statement on intravenous thrombolysis for ischaemic stroke. Retrieved from https://www.acem.org.au/getattachment/1636cfd5-3829-4fc6-9eb2-91742f3d250b/Statement-on-Intravenous-Thrombolysis-for-Ischaemi.aspx
Bagot, K. L., Cadilhac, D. A., Kim, J., Vu, M., Savage, M., Bolitho, L., … on behalf of the Victorian Stroke Telemedicine Programme Consortium. (2017). Transitioning from a single-site pilot project to a state-wide regional telehealth service: The experience from the Victorian Stroke Telemedicine programme. Journal of Telemedicine and Telecare, 23(10), 850-855. https://doi.org/10.1177/1357633X17734004
Bagot, K. L., Cadilhac, D. A., Vu, M., Moss, K., & Bladin, C. F. (2015). Telemedicine in the acute health setting: Unintended consequences for specialists of a disruptive innovation (an example from stroke). Journal of Telemedicine and Telecare, 21(8), 443-448. https://doi.org/10.1177/1357633X15610722
Bagot, K. L., Moloczij, N., Barclay-Moss, K., Vu, M., Bladin, C. F., & Cadilhac, D. A. (2018). Sustainable implementation of innovative, technology-based health care practices: A qualitative case study from stroke telemedicine. Journal of Telemedicine and Telecare, 1357633X18792380. [Epub ahead of print]. https://doi.org//10.1177/1357633X18792380
Bladin, C. F., & Cadilhac, D. A. (2014). Effect of telestroke on emergent stroke care and stroke outcomes. Stroke, 45, 1876-1880. https://doi.org/10.1161/strokeaha.114.003825
Bladin, C. F., Molocijz, N., Ermel, S., Bagot, K. L., Kilkenny, M., Vu, M., … VST Program Investigators. (2015). Victorian Stroke Telemedicine Project: Implementation of a new model of translational stroke care for Australia. Internal Medicine Journal, 45(9), 951-956. https://doi.org/10.1111/imj.12822
Brewster, L., Mountain, G., Wessels, B., Kelly, C., & Hawley, M. (2014). Factors affecting front line staff acceptance of telehealth technologies: A mixed-method systematic review. Journal of Advanced Nursing, 70(1), 21-33. https://doi.org/10.1111/jan.12196.
Browning, S. V., Tullai-McGuinness, S., Madigan, E., & Struk, C. (2009). Telehealth: Is your staff ready to implement? A descriptive exploratory study of readiness for this technology in home health care. Home Healthcare Nurse, 27(4), 242-248. https://doi.org/10.1097/01.NHH.0000349911.12860.f2
Cadilhac, D., Moloczij, N., Denisenko, S., Dewey, H. M., Disler, P., Winzar, B., … Bladin, C. (2014). Establishment of an effective acute stroke telemedicine program for Australia: Protocol for the Victorian Stroke Telemedicine project. International Journal of Stroke, 9(2), 252-258. https://doi.org/10.1111/ijs.12137
Cadilhac, D. A., Vu, M., & Bladin, C. (2014). Experience with scaling up the Victorian Telemedicine Programme. Journal of Telemedicine and Telecare, 20(7), 413-418.
Carlfjord, S., & Festin, K. (2015). Association between organizational climate and perceptions and use of an innovation in Swedish primary health care: A prospective study of an implementation. BMC Health Services Research, 15, 364-364. https://doi.org/10.1186/s12913-015-1038-2
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
du Toit, M., Malau-Aduli, B., Vangaveti, V., Sabesan, S., & Ray, R. A. (2017). Use of telehealth in the management of non-critical emergencies in rural or remote emergency departments: A systematic review. Journal of Telemedicine and Telecare, 25(1), 3-16. https://doi.org/10.1177/1357633X17734239
Eley, R., Fallon, T., Soar, J., Buikstra, E., & Hegney, D. (2008). Nurses' confidence and experience in using information technology. Australian Journal of Advanced Nursing, 25(3), 23-35.
Emberson, J., Lees, K. R., Lyden, P., Blackwell, L., Albers, G., Bluhmki, E., … Hacke, W. (2014). Effect of treatment delay, age, and stroke severity on the effects of intravenous thrombolysis with alteplase for acute ischaemic stroke: a meta-analysis of individual patient data from randomised trials. Lancet, 384(9958), 1929-1935.
Franc, S., Daoudi, A., Mounier, S., Boucherie, B., Dardari, D., Laroye, H., … Charpentier, G. (2011). Telemedicine and diabetes: Achievements and prospects. Diabetes & Metabolism, 37(6), 463-476.
Francke, A. L., Smit, M. C., de Veer, A. J., & Mistiaen, P. (2008). Factors influencing the implementation of clinical guidelines for health care professionals: A systematic meta-review. BMC Medical Informatics and Decision Making, 8(1), 1-11. https://doi.org/10.1186/1472-6947-8-38
Gagnon, M. P., Orruno, E., Asua, J., Abdeljelil, A. B., & Emparanza, J. (2012). Using a modified technology acceptance model to evaluate healthcare professionals' adoption of a new telemonitoring system. Telemedicine Journal and e-Health, 18(1), 54-59. https://doi.org/10.1089/tmj.2011.0066
Godin, G., Bélanger-Gravel, A., Eccles, M., & Grimshaw, J. (2008). Healthcare professionals' intentions and behaviours: A systematic review of studies based on social cognitive theories. Implementation Science, 3(1), 36. https://doi.org/10.1186/1748-5908-3-36
Grady, J. (2014). CE: Telehealth: A case study in disruptive innovation. American Journal of Nursing, 114(4), 38, 45. https://doi.org/10.1097/01.naj.0000445682.52553.89
Harrison, M. I., Koppel, R., & Bar-Lev, S. (2007). Unintended consequences of information technologies in health care-An interactive sociotechnical analysis. Journal of the American Medical Informatics Association, 14(5), 542-549. https://doi.org/10.1197/jamia.M2384
Health and Safety Executive. (n.d.). HSE management standards indicator tool. Retrieved from http://www.hse.gov.uk/stress/standards/pdfs/indicatortool.pdf
Holden, R. J., & Karsh, B.-T. (2010). The Technology Acceptance Model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159-172. https://doi.org/10.1016/j.jbi.2009.07.002
Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277-1288. https://doi.org/10.1177/1049732305276687
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112. https://doi.org/10.1080/07421222.1999.11518247
Kaplan, H., Brady, P., Dritz, M., Hooper, D., Linam, W. M., Froehle, C., & Margolis, P. (2010). The influence of context on quality improvement success in health care: A systematic review of the literature. Milbank Quarterly, 88(4), 500-559.
Kiernan, T.-E. J., & Demaerschalk, B. M. (2010). Nursing roles within a stroke telemedicine network. Journal of Central Nervous System Disease, 2, 1-7.
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740-755. https://doi.org/10.1016/j.im.2006.05.003
Klonoff, D. C. (2009). Using telemedicine to improve outcomes in diabetes-An emerging technology. Journal of Diabetes Science and Technology, 3(4), 624-628.
Koivunen, M., & Saranto, K. (2018). Nursing professionals' experiences of the facilitators and barriers to the use of telehealth applications: A systematic review of qualitative studies. Scandinavian Journal of Caring Sciences, 32(1), 24-44. https://doi.org/10.1111/scs.12445
Kowitlawakul, Y. (2011). The technology acceptance model: Predicting nurses' intention to use telemedicine technology (eICU). Computers, Informatics, Nursing, 29(7), 411-418. https://doi.org/10.1097/NCN.0b013e3181f9dd4a
Kwan, J., Hand, P., & Sandercock, P. (2004). A systematic review of barriers to delivery of thrombolysis for acute stroke. Age & Ageing, 33(2), 116-121.
Lemon, C., Liu, N., Lane, S., Sud, A., Branley, J., Khadra, M., & Kim, J. (2018). Changes in user perceptions of a telemedicine system over time: From initial implementation to everyday use. Telemedicine Journal and e-Health, 24(7), 552-559. https://doi.org/10.1089/tmj.2017.0194
Meyer, B. C., Raman, R., Hemmen, T., Obler, R., Zivin, J. A., Rao, R., … Lyden, P. D. (2008). Efficacy of site-independent telemedicine in the STRokE DOC trial: A randomised, blinded, prospective study. Lancet Neurology, 7(9), 787-795. https://doi.org/10.1016/S1474-4422(08)70171-6
Moloczij, N., Mosley, I., Moss, K. M., Bagot, K. L., Bladin, C. F., & Cadilhac, D. A. (2015). Is telemedicine helping or hindering the delivery of stroke thrombolysis in rural areas? A qualitative analysis. Internal Medicine Journal, 45(9), 957-964. https://doi.org/10.1111/imj.12793
Morley, E. (2009). Bendigo health stroke nurse practitioner proposed model of care Victoria. Melbourne, Victoria, Australia: Department of Human Services Victoria.
Parra, C., Jódar-Sánchez, F., Jiménez-Hernández, M. D., Vigil, E., Palomino-García, A., Moniche-Álvarez, F., … Leal, S. (2012). Development, implementation, and evaluation of a telemedicine service for the treatment of acute stroke patients: TeleStroke. Interactive Journal of Medical Research, 1(2), 126-137. https://doi.org/10.2196/ijmr.2163
Peduzzi, P., Concato, J., Kemper, E., Holford, T. R., & Feinstein, A. R. (1996). A simulation study of the number of events per variable in logistic regression analysis. Journal of Clinical Epidemiology, 49(12), 1373-1379. https://doi.org/10.1016/S0895-4356(96)00236-3
Penny, R. A., Bradford, N. K., & Langbecker, D. (2018). Registered nurse and midwife experiences of using videoconferencing in practice: A systematic review of qualitative studies. Journal of Clinical Nursing, 27(5-6), e739-e752. https://doi.org/10.1111/jocn.14175
Purvis, T., Moss, K., Denisenko, S., Bladin, C. F., & Cadilhac, D. A., on behalf of the Victorian Stroke Clinical Network. (2014). Implementation of evidence-based stroke care: Enablers, barriers, and the role of facilitators. Journal of Multidisciplinary Healthcare, 7, 389-400. https://doi.org/10.2147/JMDH.S67348
Ritchie, J., Spencer, L., & O'Conner, W. (2003). Carrying out qualitative analysis. In J. Ritchie & J. Lewis (Eds.), Qualitative research practice: A guide for social science students and researchers. London, UK: Sage.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: Simon and Schuster.
Rouleau, G., Gagnon, M. P., Cote, J., Payne-Gagnon, J., Hudson, E., & Dubois, C. A. (2017). Impact of information and communication technologies on nursing care: Results of an overview of systematic reviews. Journal of Medical Internet Research, 19(4), e122. https://doi.org/10.2196/jmir.6686
Schwamm, L. H. (2018). Disruptive innovation in acute stroke systems of care. Lancet Neurology, 17(7), P576-P578. https://doi.org/10.1016//S1474-474-4422(18)30197-2
Schwamm, L. H., Holloway, R. G., Amarenco, P., Audebert, H. J., Bakas, T., Chumbler, N. R., … Wechsler, L. R. (2009). A review of the evidence for the use of telemedicine within stroke systems of care: A scientific statement from the American Heart Association/American Stroke Association. Stroke, 40(7), 2616-2634.
Sensmeier, J. E. (2012). Disruptive innovation and the changing face of healthcare. Nursing Management, 43(11), 13-14. https://doi.org/10.1097/01.NUMA.0000421681.71712.86
Skidmore, S. T., & Thompson, B. (2013). Bias and precision of some classical ANOVA effect sizes when assumptions are violated. Behaviour Research Methods, 45(2), 536-546. https://doi.org/10.3758/s13428-012-0257-2
Smith, J. A., & Osborn, M. (2008). Interpretative phenomenological analysis. In G. M. Breakwell (Ed.), Doing social psychology research. London, UK: Sage.
Strudwick, G. (2015). Predicting nurses’ use of healthcare technology using the Technology Acceptance Model: An integrative review. Computers, Informatics, Nursing, 33(5), 189-198. https://doi.org/10.1097/01.NCN.0000465413.54230.e1
van Houwelingen, C. T., Moerman, A. H., Ettema, R. G., Kort, H. S., & Ten Cate, O. (2016). Competencies required for nursing telehealth activities: A Delphi-study. Nurse Education Today, 39, 50-62. https://doi.org/10.1016/j.nedt.2015.12.025
Wade, V. A., Eliott, J. A., & Hiller, J. E. (2014). Clinician acceptance is the key factor for sustainable telehealth services. Qualitative Health Research, 24(5), 682-694. https://doi.org/10.1177/1049732314528809
Ward, M. M., Jaana, M., & Natafgi, N. (2015). Systematic review of telemedicine applications in emergency rooms. International Journal of Medical Informatics, 84(9), 601-616. https://doi.org/10.1016/j.ijmedinf.2015.05.009
Ward, R., Stevens, C., Brentnall, P., & Briddon, J. (2008). The attitudes of health care staff to information technology: A comprehensive review of the research literature. Health Information & Libraries Journal, 25(2), 81-97. https://doi.org/10.1111/j.1471-1842.2008.00777.x
Whitten, P. S., & Mackert, M. S. (2005). Addressing telehealths foremost barrier: Provider as initial gatekeeper. International Journal of Technology Assessment in Health Care, 21(4), 517-521. https://doi.org/10.1017/S0266462305050725
Williams, P. (2002). The competent boundary spanner. Public Administration, 80(1), 103-124. https://doi.org/10.1111/1467-9299.00296

Auteurs

Kathleen Bagot (K)

Research Fellow, Public Health: Stroke Division, The Florey Institute of Neuroscience & Mental Health, Melbourne University, Melbourne, Australia.

Natasha Moloczij (N)

Program Manager-Nurse-led Research, Victorian Comprehensive Cancer Centre, Melbourne, Australia.

Lauren Arthurson (L)

Stroke Coordinator & Allied Health Manager, Inpatient Rehabilitation, Echuca Regional Hospital, Echuca, Australia.

Casey Hair (C)

VST Site Coordinator, Ballarat Health Service, Ballarat, Australia.

Shaun Hancock (S)

Research Officer, Public Health: Stroke Division, The Florey Institute of Neuroscience & Mental Health, Melbourne University, Melbourne, Australia.

Christopher F Bladin (CF)

Director, Victorian Stroke Telemedicine Program, Ambulance Victoria, Blackburn, Australia.

Dominique A Cadilhac (DA)

Head, Translational Public Health and Evaluation Division, Stroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.

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