Learning Objective 1: The learner will be able to discuss the implications of using a ‘computerised’ predictive risk tool in the selection of patients for case management assessment.
Learning Objective 2: The learner will be able to appreciate the importance of involving long term patients as collaborators to acquire evidence for practice.
Methods: A qualitative study was considered appropriate to answer the research question. A purposive selection of eight patients, newly admitted to the Community Matron’s caseload, was interviewed and an interpretative phenomenological analytical model was used to interpret the data.
Results: Four themes emerged from the data: surveillance of health; dimensions of trust; dimensions of health guidance and dynamic perception of ill health. Patients were not particularly concerned about the use of predictive modelling, in many cases it was perceived as the promotion of engagement in health care and intuitive to their health belief systems. A linear model of reactions was thus developed from these findings.
Conclusion: The findings suggest that to gain a true sense of reaction to the use of risk tools further research is required, specifically targeting those who have refused case management, yet could potentially benefit from it the most. Such a care approach will become particularly important, as risk tools become more widely used and hard to reach individuals are required to engage in pro-active case management to prevent the rising cost of chronic ill health.
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