ArticleHealth care management science2005
Assessing and using the multiple correlated components of the burden of disease in decision-making in health care.
Article in Health care management science, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
3 authors.
Funding
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Abstract
In medical decision-making, we must (a) establish the patient's prognosis, and (b) identify the therapeutic strategy that will best improve that prognosis. The prognosis is the projected progression over time of the cumulative probability of (a) mortality, (b) morbidity, (c) disability, (d) psychological distress, and (e) resource use. Our modeling employs parametric representations and multivariate analysis to produce the predicted individual and joint probabilities of any range of each measure and of combinations of the measures. The predicted probabilities are consistent with their observed values. We have demonstrated, we believe, the feasibility of analyzing and predicting the burden of disease as a means to support decision-making at the bedside and the policy level.
Indexed as
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15952610What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.