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A Tentative Consensus-Based Model for Priority Setting : An Example from Elderly Patients with Myocardial Infarction and Multi-morbidity
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- Ekerstad, Niklas, 1969- (author)
- Linköpings universitet,Utvärdering och hälsoekonomi,Hälsouniversitetet
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- Löfmark, Rurik (author)
- Karolinska Institutet
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- Andersson, David (author)
- Linköpings universitet,Utvärdering och hälsoekonomi,Hälsouniversitetet
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- (creator_code:org_t)
- 2011-04-21
- 2011
- English.
- In: Scandinavian Journal of Public Health. - : Sage. - 1403-4948 .- 1651-1905. ; 39:4, s. 345-353
- Journal article (peer-reviewed)
Abstract
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- Background: In most Western countries the growing gap between available resources and greater potential for medical treatment has brought evidence-based guidelines into focus. However, such guidelines are difficult to use when the evidence base is weak. Priority setting for frail elderly patients with heart disease illustrates this problem. We have outlined a tentative model for priority setting regarding frail elderly heart patients. The model takes cardiovascular risk, frailty, and comorbidity into account. Objective: Our aim is to validate the model’s components. We want to evaluate the inter-rater reliability of the study experts’ rankings regarding each of the model’s categories. Methods: A confidential questionnaire study consisting of 15 authentic and validated cases was conducted to assess the views of purposefully selected cardiology experts (n = 58). They were asked to rank the cases regarding the need for coronary angiography using their individual clinical experience. The response rate was 71%. Responses were analysed with frequencies and descriptive statistics. The inter-rater reliability regarding the experts’ rankings of the cases was estimated via an intra-class correlation test (ICC). Results: The cardiologists considered the clinical cases to be realistic. The intra-class correlation (two-way random, consistency, average measure) was 0.978 (95% CI 0.958–0.991), which denotes a very good inter-rater reliability on the group level. The model’s components were considered relevant regarding complex cases of non-ST elevation myocardial infarction. Comorbidity was considered to be the most relevant component, frailty the second most relevant, followed by cardiovascular risk. Conclusions: A framework taking comorbidity, frailty, and cardiovascular risk into account could constitute a foundation for consensus-based guidelines for frail elderly heart patients. From a priority setting perspective, it is reasonable to believe that the framework is applicable to other groups of elderly patients with acute disease and complex needs.
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