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Table 1 Key items for framing aim, search strategy, and study inclusion and exclusion criteria following the PICOTS framework

From: Multivariable prediction models for health care spending using machine learning: a protocol of a systematic review

Item

Definition

Population

Patients with documented costs of health care services in any setting

Intervention

Any prediction model designed to predict individual-level health care spending, patient probabilities for incurring costs of health care services in any setting, or probabilities for any changes in patient costs over time

Comparator

Not applicable

Outcomes

Any cost-related outcome as reported by prediction models

Timing

Predictors measured at any time point preceding outcome; outcome measured in short-term or long-term without applying any specific limitation in prediction horizon

Setting

Any health care setting