Tuesday, June 4, 2019
Role of Cognitive Mapping in Health Care Management Decision
Role of Cognitive Mapping in Health C be Management DecisionDescribe and discuss the role of cognitive mapping in health business management decision making.Description of Cognitive MappingCognitive mapping is an operational investigate technique that consists of creating a graphical interpretation of a persons (or groups) way of thinking about an issue, and where directionality within the map is assumed to imply perceived causality among the concepts (Eden, 2004). The proposed value of the graphical representation, as argued from the field of political science, is that it births it easy to for anyone to see how concepts and causal relationships are related, and appreciate the overall bodily structure of all the assertions (Eden 2004 cited Axelrod 1976, p. 676).It is one mechanism of system dynamics simulation mannikin that generally came about as a reaction to failure of traditional approaches to capture interactions within complex problems in social systems (Edkins et al. 2007 cited Checkland 1981). It avoids the parking lot look into process pitfall of reductionism by allowing multiple conflicting views to be revealed and, providing a comprehensive picture of the participants perspectives that keeping all details to represent beliefs that are most important to stakeholders represented (Duryan, Nikolik, Merode, 2015 Eden Ackermann, 2004).Cognitive mapping was initially introduced as a method for problem digest. But recognizing its value, it has then set in motion roles in performance measurement, decision making, and strategy formulation. Eden and Ackermann (1991) expounded on the possible uses of this technique in becoming an instrument for developing consensus about shared goals, providing structure to multiple and conflicting aspects of an issue, informing negotiation, and suggesting actions to resolve issues.Use of Cognitive Mapping in Health CareCognitive mapping is argued to be best for mussy situations wherein stakeholders do not unders tand the problem or interpret them differently, and often do not realize it (Mingers 2008 cited Ackoff 1979a). Healthcare decision making falls into this earth as it has incessantly been complicated by information asymmetry, trade-offs between efficiency and equity, or moral ambiguity that become legitimate sources of uncertainty and debate among stakeholders. In fact, the first uses of cognitive mapping in operational research were in healthcare, education, and defense (Eden Ackermann, 2004).Mingers (2008) described an example in 1997 Manchester, where the UK Health Authority commissioned the Salford residential district Trust to develop an integrated approach to childrens services. Mingers argued that while the sick seemed straightforward, it turned out to be a messy problem as there was no agreement on the definitions of service specifications, services to be included, direction of the strategy, and how the project should be tackled. There were also many stakeholders involv ed in the issue (i.e. government, doctors, persevering groups, industry) that had very strong opinions about the project. If the group were to make a plan based on epidemiology, practice guidelines, budget constraints and other numerical factors alone, without taking into shape the stakeholders differing views, the proposed program would likely fail during implementation.Situations like these are common in healthcare decisions given the complexity of issues faced at doctor-patient, organizational, and national-policy level. Mathematical and statistical methods offer a narrow focus on measurable aspects of decision that fails to catch the reasoning, motivations, and interactions relevant to achieving these outcomes. Problem structuring through cognitive mapping provides an opportunity for healthcare decision makers to systematically measure these missing interactions and assess their impact to the goal under assessment (Pidd, 2004).Sachdeva et al (2007) seekd the added value of co gnitive mapping from traditional approaches in sagaciousness patient flow delays in a Pediatric Intensive Unit (PICU) of a Childrens Hospital in Wisconsin, USA. Hard operations research (OR) results using modelling were persuasive, but became inadequate to result to change given politically sensitive issues that arose. Soft OR using cognitive mapping that was make identified tender issues and offered a more holistic and comprehensive understanding of the issues complexity that helped persuade decision makers to act on the recommendations. quinine waterThe most common technique for cognitive mapping is the Strategic Options Development Method (SODA). SODA is an ethnographic method derived from interviews that are intended to represent the participants subjective worlds the theoretical basis of which is explained by individualised construct possible action (Eden 2004 cited Kelly 1995) wherein people make sense of their world by seeking to manage and control it.SODA uses a formal modelling technique with rules for its development as described by a user guide developed by Eden and Ackerman (Ackermann et al., 1991). The transcripts of the interviews are separated into short distinct phrases (nodes) that at long last get sorted as goals, strategic directions, or potential natural selections. Fidelity in transcription is imperative to represent the participants intentions and to bear on ownership of the resulting map created. The concepts are linked (arrows) to determine accurate subordination of concepts, directionality and opposing poles to create the overall structure. While the map is an important output of its own, these can also be subject to further analysis to gain deeper insight, such asAnalysisMap CharacteristicsGoalsHead analysisNodes with only incoming arrowsTo identify end goals or effectsDensity analysisNumber of mentions of the conceptsTo determine potential find out issues from the perspectives of the participants that may need further exami nationCentrality analysisNumber of links to the concept, or ratio of arrows to conceptsTo measure the importance and complexity of the concepts implication chainHierarchical cluster analysisNumber of concepts in chain or arguments linked to optionTo identify most potent options or valued outcomes to influence on the goalsPotency analysisNumber of goals each option supportsTo prioritize options with consequences for the biggest number of key issuesComposite tail analysisRanking of potency analysisTo determine the single action that may cause multiple goals to be achievedSource stocky by AuthorHealthcare Example of Using SODAA case study by Duryan et al. (2015) on talented disability care in Netherlands made use of SODA to determine factors that adversely affect delivery of patient-centered care as evidence for future resource allocation. Following SODA guidelines, the group conducted one-on-one, semi-structured, hour-long interviews with the managers and patient group leaders with in one division of a residential care facility. Initially, they were thought to have contrasting goals financial sustainability for the managers and quality of care from resource constraints for the patients. Using the Decision Explorer software, cognitive maps were created and merged to reflect the combined views. Key assumptions were then discussed and verified, and follow-up focus group discussions with different subgroups of the patients (young vs old) and their families were done to refine the ideas represented by the initial group. The merged map was then subject to head, domain, centrality, potency analysis, and composite tail analysis.Results showed that group leader freedom to make decisions, flexible shifts, and time spent with patients were the most potent options/solutions, and therefore needed quick action by the managers. According to the researchers, the exercise successfully facilitated critical analysis of the problem and fostered ownership of the proposed solution s by all stakeholders. Seeing the different/ opposing thoughts organized and their end-goals similar also helped reach consensus and manage disagreements.Expansions of SODAWhile SODA provides solutions to complex strategic processes, it lacks a mechanism to allow for agreement among the strategies to be developed. SODA was developed further into JOURNEY Making (JOintly Understanding Reflecting and NEgotiating strategY) to become a process-oriented and management-science strategy by using the composite map in a workshop setting as a tool to help negotiation and explore policy options that will allow the issue to be intelligently resolved (Mingers, 2008). Another method, the Oval Mapping Technique (OMT), creates a cognitive map but through a highly participative strategy workshops.White et al (2007) used JOURNEY Making to collect and define public values and voices among stakeholders involved in a community hospital project in South London. Intergroup workshops were done in phases to map/graph the issues and options related to the decision. The process resulted to wide acceptance of the recommendations and an official plan enacted by the Department of Health. This is one among many examples of the opportunity to use these newer OR tools in healthcare strategy management planning at both organizations and the national policy arena.LimitationsCognitive mapping provides an opportunity to deal with messy problems in a systematic way, but general acceptance of it as a method is still lacking. Mingers (2008) explains that especially in the United States, it is viewed as a soft OR method not regarded for publication in top journals nor education in courses among top schools.The concerns on subjectivity of results remain valid that even though the process is systematic and rigorous, they are still variable and dependent on both study design and recruitment. The cognitive maps developed will depend largely on the choice of participants, their active participation, their personal motivations, and the assumption that they are adequately informed of the problem. And the probability of one person skewing the result is high given the small sample (i.e. 4-10 people) used for these activities. The method also assumes adequate facilitation by the research team to determine the key nodes and domains, which may not always be the case.Also, while cognitive mapping provides a snapshot of the decision making, it does not promote understanding over time periods and cannot be used to derive numerical assessments of its impact (Pidd, 2004).Cross-validation or triangulation using many models of the same issue may be done to increase its validity (Abernethy et al, 2005). Combination of soft and hard methodologies is believed to increase acceptance and sustain organization change especially in healthcare settings (Sachdeva et al., 2007). And, it should always be used in conjunction with other methods for research data gathering, monitoring, performance measurement, or decision support.Lastly, for cognitive mapping to be useful in decision support, it requires the decision makers to understand the method/process, recognize the value of the issues at the front line, take the results seriously, and act on the recommendations. It is therefore crucial for any research team using this method to help the decision makers appreciate the approach and engage with the recommendations.ReferenceAbernethy, M. A., Horne, M., Lillis, A. M., Malina, M. A., Selto, F. H. (2005). A multi-method approach to building causal performance maps from full knowledge. Management Accounting Research, 16(2), 135-155. https//doi.org/10.1016/j.mar.2005.03.003Ackermann, F. ., Cropper, S. A., Eden, C. L. (1991). Cognitive Mapping for Community practicable Research-A Users Guide. (E. Munford, A., Bailey, T., Ed.), Operational research tutorial papers.Duryan, M., Nikolik, D., Merode, G. Van. (2015). Reflecting on the efficacy of cognitive mapping for decision-making in intell ectual disability care a case study. International Journal of Health Planning and Management, 30(August 2013), 127-144. https//doi.org/10.1002/hpm.2215Eden, C. (2004). Analyzing cognitive maps to help structure issues or problems. European Journal of Operational Research, 159(3), 673-686. https//doi.org/10.1016/S0377-2217(03)00431-4Eden, C., Ackermann, F. (2004). Cognitive mapping expert views for policy analysis in the public sector. European Journal of Operational Research, 152(3), 615-630. https//doi.org/10.1016/S0377-2217(03)00061-4Edkins, A. J., Kurul, E., Maytorena-Sanchez, E., Rintala, K. (2007). The application of cognitive mapping methodologies in project management research. International Journal of Project Management, 25(8), 762-772. https//doi.org/10.1016/j.ijproman.2007.04.003Mingers, J. (2008). Reaching the Problems that Traditional OR/MS Methods Cannot Reach. Centerbury. https//doi.org/10.1080/00369220601100075Pidd, M. (2004). Systems Modelling Theory and Practice. Systems Modelling Theory and Practice. Retrieved from http//www.untag-smd.ac.id/files/Perpustakaan_Digital_1/DECISION MAKING Systems modelling, theory and practice.pdfpage=16Sachdeva, R., Williams, T., Quigley, J. (2007). Mixing Methodologies to Enhance the Implementation of Healthcare Operational Research. The Journal of the Operational Research Society, 58(2), 159-167. https//doi.org/10.2307/4622680White, L., Bourne, H. (2007). Voices and values Linking values with participation in OR/MS in public policy making. Omega, 35(5), 588-603. https//doi.org/10.1016/j.omega.2005.11.002
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