2018
DOI: 10.1136/bmjqs-2018-008280
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Composite measures of healthcare quality: sensible in theory, problematic in practice

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Cited by 24 publications
(31 citation statements)
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“…Additionally, through electronic administrative data, audits and registries, a vast amount of clinical outcome measures are available which can be difficult to understand. A composite measure can condense a number of outcome measures into a single score which can simplify the data and provide an overview of patient recovery and quality of care [27]. Combining PROMs with objective clinical outcomes into a single composite measure ensures that both the clinician and patient perspectives are captured, providing an overview of patient recovery and quality of care [27].…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, through electronic administrative data, audits and registries, a vast amount of clinical outcome measures are available which can be difficult to understand. A composite measure can condense a number of outcome measures into a single score which can simplify the data and provide an overview of patient recovery and quality of care [27]. Combining PROMs with objective clinical outcomes into a single composite measure ensures that both the clinician and patient perspectives are captured, providing an overview of patient recovery and quality of care [27].…”
Section: Discussionmentioning
confidence: 99%
“…Even though direct comparisons with the composite measure are not possible, encouragingly, the adherence to other individual FeSS processes was found to be comparable or even improved against the QASCIP post-implementation cohort [6]. Limitations to the use of composite measures have been reported [47]. However, our methods to negate the influence of missing data with decision rules to ensure all patients were eligible to receive all processes in the measure and in-built logic checks in the data tool could address some of these concerns.…”
Section: Discussionmentioning
confidence: 99%
“…Such composites offer two advantages—the simplicity of a single overall measure and increased statistical power from having more eligible events. But, these composites can create problems,34 35 just as with composite outcomes in clinical trials 36 37. Composite outcomes pose particular problems when the components vary substantially in terms of their frequency and/or severity and when an intervention exerts differential effects on the various components.…”
Section: Heterogeneity As the Fundamental Challenge To Using Aes As Amentioning
confidence: 99%