Being pragmatic about healthcare complexity: our experiences applying complexity theory and pragmatism to health services research
- PMID: 29921277
- PMCID: PMC6008915
- DOI: 10.1186/s12916-018-1087-6
Being pragmatic about healthcare complexity: our experiences applying complexity theory and pragmatism to health services research
Abstract
Background: The healthcare system has proved a challenging environment for innovation, especially in the area of health services management and research. This is often attributed to the complexity of the healthcare sector, characterized by intersecting biological, social and political systems spread across geographically disparate areas. To help make sense of this complexity, researchers are turning towards new methods and frameworks, including simulation modeling and complexity theory.
Discussion: Herein, we describe our experiences implementing and evaluating a health services innovation in the form of simulation modeling. We explore the strengths and limitations of complexity theory in evaluating health service interventions, using our experiences as examples. We then argue for the potential of pragmatism as an epistemic foundation for the methodological pluralism currently found in complexity research. We discuss the similarities between complexity theory and pragmatism, and close by revisiting our experiences putting pragmatic complexity theory into practice.
Conclusion: We found the commonalities between pragmatism and complexity theory to be striking. These included a sensitivity to research context, a focus on applied research, and the valuing of different forms of knowledge. We found that, in practice, a pragmatic complexity theory approach provided more flexibility to respond to the rapidly changing context of health services implementation and evaluation. However, this approach requires a redefinition of implementation success, away from pre-determined outcomes and process fidelity, to one that embraces the continual learning, evolution, and emergence that characterized our project.
Keywords: Complexity theory; Epistemology; Health services research; Implementation science; Methodology; Pragmatism.
Conflict of interest statement
Ethics approval and consent to participate
The project was approved by the Human Research Ethics Committee of the partner Mental Health Service, with approval from 5 December 2013 until 9 January 2019.
The simulation modeling component of the project received reciprocal approval by the Human Research Ethics Committee at Monash University (CF14/1072–2,014,000,460). The evaluation component of the project received reciprocal approval by the Human Research Ethics Committee at Monash University (CF14/48–2,013,001,967).
All protocol amendments were submitted to, and approved by, the Human Research Ethics Committee of the partner Mental Health Service, using the appropriate ethics amendment forms.
Signed consent is obtained from all participants during their first in-person contact with the study. Any information gained in connection with this research project that can identify individuals will remain confidential. All information will be stored in password-protected files and folders on password-protected computers, that can only be accessed by the research staff
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Similar articles
-
Application of simplified Complexity Theory concepts for healthcare social systems to explain the implementation of evidence into practice.J Adv Nurs. 2016 Feb;72(2):461-80. doi: 10.1111/jan.12815. Epub 2015 Sep 21. J Adv Nurs. 2016. PMID: 26388106
-
Pragmatism as a paradigm for patient-oriented research.Health Expect. 2022 Feb;25(1):38-47. doi: 10.1111/hex.13384. Epub 2021 Nov 8. Health Expect. 2022. PMID: 34748689 Free PMC article. Review.
-
Trials without tribulations: Minimizing the burden of pragmatic research on healthcare systems.Healthc (Amst). 2016 Sep;4(3):138-41. doi: 10.1016/j.hjdsi.2015.07.005. Epub 2015 Jul 29. Healthc (Amst). 2016. PMID: 27637816 Free PMC article.
-
Selecting a dynamic simulation modeling method for health care delivery research-part 2: report of the ISPOR Dynamic Simulation Modeling Emerging Good Practices Task Force.Value Health. 2015 Mar;18(2):147-60. doi: 10.1016/j.jval.2015.01.006. Value Health. 2015. PMID: 25773550 Review.
-
The implementation of health promotion in primary and community care: a qualitative analysis of the 'Prescribe Vida Saludable' strategy.BMC Fam Pract. 2017 Feb 17;18(1):23. doi: 10.1186/s12875-017-0584-6. BMC Fam Pract. 2017. PMID: 28212606 Free PMC article.
Cited by
-
Patient-planetary health co-benefit prescribing in a circumpolar health region: a qualitative study of physician voices from the Northwest Territories, Canada.BMJ Open. 2024 Mar 1;14(3):e081156. doi: 10.1136/bmjopen-2023-081156. BMJ Open. 2024. PMID: 38431297 Free PMC article.
-
Workforce Perspectives of Sustaining the Utilisation of a Harm Reduction Instrument in a Mental Health Residential Setting.Healthcare (Basel). 2024 Jan 22;12(2):276. doi: 10.3390/healthcare12020276. Healthcare (Basel). 2024. PMID: 38275558 Free PMC article.
-
Application of behavioural theories, models, and frameworks in pharmacy practice research based on published evidence: a scoping review.Int J Clin Pharm. 2024 Jan 4. doi: 10.1007/s11096-023-01674-x. Online ahead of print. Int J Clin Pharm. 2024. PMID: 38175323 Review.
-
Equilibrium in the governance of cross-sectoral policies: how does it translate into practice?Health Res Policy Syst. 2023 Sep 13;21(1):96. doi: 10.1186/s12961-023-01035-0. Health Res Policy Syst. 2023. PMID: 37704970 Free PMC article. Review.
-
What Stops Fairness from Emerging in Assessment? The Forces on a Complex Adaptive System.Perspect Med Educ. 2023 Aug 24;12(1):338-347. doi: 10.5334/pme.994. eCollection 2023. Perspect Med Educ. 2023. PMID: 37636331 Free PMC article.
References
-
- Klein JH, Young T. Health care: a case of hypercomplexity? Health Systems. 2015;4(2):104–110. doi: 10.1057/hs.2014.21. - DOI
-
- Eldabi T. Implementation issues of modeling healthcare problems: misconceptions and lessons. Proceedings of the 2009 winter simulation conference (WSC). IEEE. 2009; 10.1109/WSC.2009.5429192.
-
- Tako AA. Robinson S. Is simulation in health different? J Oper Res Soc. 2015;66(4):602–614. doi: 10.1057/jors.2014.25. - DOI
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
