Ontology highlight
ABSTRACT: Context
Investigators in palliative care rely heavily on routinely collected data, which carry risk of unobserved confounding and selection bias. 'Natural experiments' offer opportunities to generate credible causal treatment effect estimates from observational data.Objectives
We aimed first to review studies that employed 'natural experiments' to evaluate palliative care, and second to consider implications for expanding use of these methods.Methods
We searched systematically seven databases to identify studies using 'natural experiments' to evaluate palliative care's effect on outcomes and costs. We searched three grey literature repositories, and hand-searched journals and prior systematic reviews. We assessed reporting using the Strengthening the Reporting of Ob
SUBMITTER: Jiang J
PROVIDER: S-EPMC10350467 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature