1,860
Views
3
CrossRef citations to date
0
Altmetric
Research Article

Participatory design research for the development of real-time simulation models in healthcare

ORCID Icon & ORCID Icon
Pages 375-386 | Received 05 Jan 2022, Accepted 23 Jan 2023, Published online: 09 Feb 2023

References

  • Adams, S., Rhodes, T., & Lancaster, K. (2022). New directions for participatory modelling in health: Redistributing expertise in relation to localised matters of concern. Global Public Health, 17(9), 1827–1841. https://doi.org/10.1080/17441692.2021.1998575
  • Allen, M. L., Culhane-Pera, K. A., Pergament, S., & Thiede Call, K. (2011). A capacity building program to promote CBPR partnerships between academic researchers and community members. Clinical and Translational Science, 4(6), 428–433. https://doi.org/10.1111/j.1752-8062.2011.00362.x
  • Amalberti, R., & Vincent, C. (2020). Managing risk in hazardous conditions: Improvisation is not enough. BMJ Quality & Safety, 29(1), 60–63. https://doi.org/10.1136/bmjqs-2019-009443
  • Arsenault, C., Gage, A., Kim, M. K., Kapoor, N. R., Akweongo, P., Amponsah, F., Aryal, A., Asai, D., Awoonor-Williams, J. K., Ayele, W., & Bedregal, P. (2022). COVID-19 and resilience of healthcare systems in ten countries. Nature medicine, 28(6), 1314–1324.
  • Augusto, V., Viallon, A., & Murgier, M. (2018). A modelling and simulation framework for intelligent control of emergency units in the case of major crisis. In M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, & B. Johansson (Eds.), Proceedings of the 2018 Winter Simulation Conference (pp. 2495–2506). Gothenburg, Sweden. IEEE.
  • Baskerville, R. L., Kaul, M., & Storey, V. C. (2015). Genres of inquiry in design-science research: Justification and evaluation of knowledge production. MIS Quarterly, 39(3), 541–564. https://doi.org/10.25300/MISQ/2015/39.3.02
  • Berggren, P., Prytz, E., Johansson, B., & Nählinder, S. (2011). The relationship between workload, teamwork, situation awareness, and performance in teams: A microworld study. Proceedings of the Human Factors and Ergonomics Society, Las Vegas. (pp. 851–855).
  • Blessing, L. T., & Chakrabarti, A. (2009). DRM: A design research methodology. Springer.
  • Brailsford, S. C., Bolt, T. B., Bucci, G., Chaussalet, T. J., Connell, N. A., Harper, P. R., Klein, J. H., Pitt, M., & Taylor, M. (2013). Overcoming the barriers: A qualitative study of simulation adoption in the NHS. The Journal of the Operational Research Society, 64(2), 157–168. https://doi.org/10.1057/jors.2011.130
  • Brooks, R. J., & Robinson, S. (2000). Simulation. Palgrave.
  • Carlsson, S. A. (2006). Towards an information systems design research framework: A critical realist perspective. In Proceedings of the First International Conference on Design Science Research in Information Systems and Technology, Claremont, CA (pp. 192–212).
  • Chapman, B., & Turnbull, T. (2016). Health professionals’ perceptions of inappropriate use of A&E services. British Journal of Nursing (Mark Allen Publishing), 25(9), 476–483. https://doi.org/10.12968/bjon.2016.25.9.476
  • Cheek, C., Allen, P., Shires, L., Parry, D., & Ruigrok, M. (2016). Low-acuity presentations to regional emergency departments: What is the issue? EMA - Emergency Medicine Australasia, 28(2), 145–152. https://doi.org/10.1111/1742-6723.12526
  • Cornwall, A., & Jewkes, R. (1995). What is participatory research? Social science & medicine, 41(12), 1667–1676. https://doi.org/10.1016/0277-9536(95)00127-S
  • De Gooyert, V., Rouwette, E., Van Kranenburg, H., & Freeman, E. (2017). Reviewing the role of stakeholders in operational research: A stakeholder theory perspective. European Journal of Operational Research, 262(2), 402–410. https://doi.org/10.1016/j.ejor.2017.03.079
  • Den Hengst, M., de Vreede, G. J., & Maghnouji, R. (2007). Using soft or principles for collaborative simulation: A case study in the Dutch airline industry. The Journal of the Operational Research Society, 58(5), 669–682. https://doi.org/10.1057/palgrave.jors.2602353
  • Endsley, M. R. (2016). Designing for situation awareness: An approach to user-centered design. CRC press.
  • Franco, L. A. (2013). Rethinking Soft or interventions: Models as boundary objects. European Journal of Operational Research, 231(3), 720–733. https://doi.org/10.1016/j.ejor.2013.06.033
  • Franco, L. A., & Montibeller, G. (2010). Facilitated modelling in operational research. European Journal of Operational Research, 205(3), 489–500. https://doi.org/10.1016/j.ejor.2009.09.030
  • Gericke, K., & Blessing, L. (2012). An analysis of design process models across disciplines. In DS 70: Proceedings of DESIGN 2012, the 12th International Design Conference, Dubrovnik, Croatia.
  • Greenhalgh, T., Wherton, J., Papoutsi, C., Lynch, J., Hughes, G., A’Court, C., Hinder, S., Fahy, N., Procter, R., & Shaw, S. (2017). Beyond adoption: A new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. Journal of Medical Internet Research, 19(11), e367. https://doi.org/10.2196/jmir.8775
  • Harper, A. (2021). A Hybrid Modelling Framework for Real-time Decision-support for Urgent and Emergency Healthcare. PhD Thesis. University of Exeter. https://ore.exeter.ac.uk/repository/handle/10871/124426
  • Harper, A., Mustafee, N., & Pitt, M. (2022). Increasing situation awareness in healthcare through real-time simulation. The Journal of the Operational Research Society, 1–11. https://doi.org/10.1080/01605682.2022.2147030
  • Harper, A., Mustafee, N., & Yearworth, M. (2021). Facets of trust in simulation studies. European Journal of Operational Research, 289(1), 197–213. https://doi.org/10.1016/j.ejor.2020.06.043
  • Herwix, A., Haj-Bolouri, A., Rossi, M., Tremblay, M. C., Purao, S., & Gregor, S. (2022). Ethics in information systems and design science research: Five perspectives. Communications of the Association for Information Systems, 50(1), 34. https://doi.org/10.17705/1CAIS.05028
  • Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–106. https://doi.org/10.2307/25148625
  • Jahangirian, M., Naseer, A., Stergioulas, L., Young, T., Eldabi, T., Brailsford, S., Patel, B., & Harper, P. (2012). Simulation in health-care: Lessons from other sectors. Operational Research, 12(1), 45–55. https://doi.org/10.1007/s12351-010-0089-8
  • Jahangirian, M., Taylor, S. J., Young, T., & Robinson, S. (2017). Key performance indicators for successful simulation projects. The Journal of the Operational Research Society, 68(7), 747–765. https://doi.org/10.1057/jors.2016.1
  • Katsaliaki, K., & Mustafee, N. (2011). Applications of simulation within the healthcare context. The Journal of the Operational Research Society, 62(8), 1431–1451. https://doi.org/10.1057/jors.2010.20
  • Kotiadis, K., & Tako, A. A. (2016). A facilitation workshop for the implementation stage: A case study in health care. Proceedings of the Operational Research Society Simulation Workshop 2016, SW 2016, Stratford-upon-Avon, UK. (pp. 165–174).
  • Kotiadis, K., & Tako, A. A. (2018). Facilitated post-model coding in discrete event simulation (DES): A case study in healthcare. European Journal of Operational Research, 266(3), 1120–1133. https://doi.org/10.1016/j.ejor.2017.10.047
  • Krebs, L. D., Kirkland, S. W., Chetram, R., Nikel, T., Voaklander, B., Davidson, A., Holroyd, B., Villa-Roel, C., Crick, K., Couperthwaite, S., & Alexiu, C. (2017). Low-acuity presentations to the emergency department in Canada: Exploring the alternative attempts to avoid presentation. Emergency Medicine Journal, 34(4), 249–255. https://doi.org/10.1136/emermed-2016-205756
  • Lehaney, B., & Paul, R. J. (1996). The use of soft systems methodology in the development of a simulation of out-patient services at Watford General Hospital. The Journal of the Operational Research Society, 47(7), 864–870. https://doi.org/10.1057/jors.1996.112
  • Levin, S., Sauer, L., Kelen, G., Kirsch, T., Pham, J., Desai, S., & France, D. (2012). Situation awareness in emergency medicine. IIE Transactions on Healthcare Systems Engineering, 2(2), 172–180. https://doi.org/10.1080/19488300.2012.684739
  • Long, K. M., McDermott, F., & Meadows, G. N. (2019). Factors affecting the implementation of simulation modelling in healthcare: A longitudinal case study evaluation. Journal of the Operational Research Society, 71(12), 1927–1939.
  • Long, K. M., & Meadows, G. N. (2018). Simulation modelling in mental health: A systematic review Simulation modelling in mental health: A systematic review. Journal of Simulation, 12(1), 1–10. https://doi.org/10.1057/s41273-017-0062-0
  • Madsen, W., & O’mullan, C. (2018). Power, participation and partnerships: Reflections on the co-creation of knowledge. Reflective Practice, 19(1), 26–34. https://doi.org/10.1080/14623943.2017.1351349
  • McGeorge, N., Hegde, S., Berg, R. L., Guarrera-Schick, T. K., LaVergne, D. T., Casucci, S. N., Clark, L. N., Lin, L., Fairbanks, R. J., Benda, N. C., Sun, L., Wears, R. L., Perry, S., Bisantz, A., & Hettinger, A. Z. (2015). Assessment of innovative emergency department information displays in a clinical simulation center. Journal of Cognitive Engineering and Decision Making, 9(4), 329–346. https://doi.org/10.1177/1555343415613723
  • McKenney, S., & Reeves, T. C. (2018). Conducting educational design research. Routledge.
  • Mustafee, N., & Powell, J. (2020). Providing real-time information for urgent care. Impact, 2021(1), 25–29. https://doi.org/10.1080/2058802X.2020.1857601
  • Mustafee, N., Powell, J. H., & Harper, A. (2018). RH-RT: A data analytics framework for reducing wait time at emergency departments and centres for urgent care. In 2018 Winter Simulation Conference (WSC), Gothenburg, Sweden. pp. 100–110. IEEE.
  • Mustafee, N., Powell, J. H., Martin, S., Fordyce, A., & Harper, A. (2017). Investigating the use of real-time data in nudging patients’ emergency department (ED) attendance behaviour. In: Proceedings of the 2017 Simulation Workshop, Stratford-upon-Avon, UK. IEEE.
  • Oakley, D., Onggo, B. S., & Worthington, D. (2020). Symbiotic simulation for the operational management of inpatient beds: Model development and validation using Δ-method. Health Care Management Science, 23(1), 153–169. https://doi.org/10.1007/s10729-019-09485-1
  • Offermann, P., Blom, S., & Bub, U. (2011). Strategies for creating, generalising and transferring design science knowledge–a methodological discussion and case analysis. In 10th International Conference on Wirtschaftsinformatik (pp. 1187–1196). Zurich, Switzerland.
  • O’keefe, R. (2014). Design Science, the design of systems and Operational Research: Back to the future? The Journal of the Operational Research Society, 65(5), 673–684. https://doi.org/10.1057/jors.2012.175
  • Onggo, B. S., Corlu, C. G., Juan, A. A., Monks, T., & de la Torre, R. (2021). Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making. Enterprise Information Systems, 15(2), 230–247. https://doi.org/10.1080/17517575.2020.1777587
  • Onggo, B. S., Mustafee, N., Smart, A., Juan, A. A., & Molloy, O. (2018). Symbiotic simulation system: Hybrid systems model meets big data analytics. In 2018 Winter Simulation Conference (WSC), Gothenburg, Sweden. pp. 1358–1369. IEEE.
  • Peffers, K., Tuunanen, T., Gengler, C. E., Rossi, M., Hui, W., Virtanen, V., & Bragge, J. (2006). Design science research process: A model for producing and presenting information systems research. In Proceedings of the 1st International Conference on Design Science Research in Information Systems and Technology (DESRIST 2006), Claremont, CA, USA
  • Peffers, K., Tuunanen, T., & Niehaves, B. (2018). Design science research genres: Introduction to the special issue on exemplars and criteria for applicable design science research. European Journal of Information Systems, 27(2), 129–139. https://doi.org/10.1080/0960085X.2018.1458066
  • Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45–77. https://doi.org/10.2753/MIS0742-1222240302
  • Peute, L. W., Driest, K. F., Marcilly, R., Da Costa, S. B., Beuscart-Zephir, M. C., & Jaspers, M. W. (2013). A framework for reporting on human factor/usability studies of health information technologies. CSHI, (194), 54–60.
  • Powell, J. H., & Mustafee, N. (2017). Widening requirements capture with soft methods: An investigation of hybrid M&S studies in health care. The Journal of the Operational Research Society, 68(10), 1211–1222. https://doi.org/10.1057/s41274-016-0147-6
  • Proudlove, N. C., Bisogno, S., Onggo, B. S., Calabrese, A., & Ghiron, N. L. (2017). Towards fully-facilitated discrete event simulation modelling: Addressing the model coding stage. European Journal of Operational Research, 263(2), 583–595. https://doi.org/10.1016/j.ejor.2017.06.002
  • Richey, R. C., & Klein, J. D. (2014). Design and development research. In J. M. Spector, M. D. Merrill, J. Elen & M. J. Bishop (Eds.), Handbook of research on educational communications and technology (pp. 141–150). Springer.
  • Robinson, S., Radnor, Z. J., Burgess, N., & Worthington, C. (2012). SimLean: Utilising simulation in the implementation of lean in healthcare. European Journal of Operational Research, 219(1), 188–197. https://doi.org/10.1016/j.ejor.2011.12.029
  • Royston, G. (2013). Operational Research for the Real World: Big questions from a small island. The Journal of the Operational Research Society, 64(6), 793–804. https://doi.org/10.1057/jors.2012.188
  • Salehi, V., & McMahon, C. (2009). Action research into the use of parametric associative CAD systems in an industrial context. In DS 58-5: Proceedings of ICED 09, the 17th International Conference on Engineering Design, Vol. 5, Design Methods and Tools (pt. 1), Palo Alto, CA.
  • Sanjay, M., & Allamma, B. H. (2016). An insight into big data analytics – Methods and application. Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016, 1, Art. No. 7823269, Coimbatore, India.
  • Sargent, R. G. (2004). Validation and verification of simulation models. In Proceedings of the 2004 Winter Simulation Conference, Washington, DC, USA. (Vol. 1). IEEE.
  • Simon, H. A. (1988). The science of design: Creating the artificial. Design Issues, 4(1/2), 67–82. https://doi.org/10.2307/1511391
  • Sujan, M., Pickup, L., Bowie, P., Hignett, S., Ives, F., Vosper, H., & Rashid, N. (2021). The contribution of human factors and ergonomics to the design and delivery of safe future healthcare. Future Healthcare Journal, 8(3), e574–579. https://doi.org/10.7861/fhj.2021-0112
  • Tako, A. A., & Kotiadis, K. (2015). PartiSim: A multi-methodology framework to support facilitated simulation modelling in healthcare. European Journal of Operational Research, 244(2), 555–564. https://doi.org/10.1016/j.ejor.2015.01.046
  • Tako, A. A., Robinson, S., Gogi, A., Radnor, Z., & Davenport, C. (2019). Evaluating community-based integrated health and social care services: The Simtegr8 approach. In 2019 Winter Simulation Conference (WSC), Maryland, USA. (pp. 1220–1231). IEEE.
  • Ulrich, W. (2012). Operational research and critical systems thinking—an integrated perspective. The Journal of the Operational Research Society, 63(9), 1228–1247. https://doi.org/10.1057/jors.2011.141
  • Van den Akker, J., Gravemeijer, K., McKenney, S., & Nieveen, N. (Eds.). (2006). Educational design research. Routledge.
  • van Oorschot, R., Snelders, D., Kleinsmann, M., & Buur, J. (2022). Participation in design research. Design Studies, 78, 101073. https://doi.org/10.1016/j.destud.2021.101073
  • Weber, E. J., Hirst, E., & Marsh, M. (2017). The patient’s dilemma: Attending the emergency department with a minor illness. BMJ (Clinical Research Ed), 357, j1941. https://doi.org/10.1136/bmj.j1941
  • Weiner, J., Tanniru, M., Khuntia, J., Bobryk, D., Naik, M., & LePage, K. (2016). Digital leadership in action in a hospital through a real time dashboard system implementation and experience. Journal of Hospital Administration, 5(4), 34. https://doi.org/10.5430/jha.v5n4p34