The Agency for Healthcare Research and Quality has published a new white paper that recommends ways to improve evidence and evaluations in support of patient-centered medical homes.
The paper discusses how to improve the quality of evaluations, namely the sample and sample size of studies, to ensure that the best policy decisions are made. Suggestions are provided to improve the quality of the evidence, including accounting for clustering of patients within practices as well as ensuring adequate statistical power to detect true effects.
The paper also identifies the number of patients and practices required to detect effects and how evaluators can select the outcomes and types of patients included in analyses to improve a study's ability to detect true effects.
Read the white paper Building the Evidence Base for the Medical Home: What Sample and Sample Size Do Studies Need? here.
The paper discusses how to improve the quality of evaluations, namely the sample and sample size of studies, to ensure that the best policy decisions are made. Suggestions are provided to improve the quality of the evidence, including accounting for clustering of patients within practices as well as ensuring adequate statistical power to detect true effects.
The paper also identifies the number of patients and practices required to detect effects and how evaluators can select the outcomes and types of patients included in analyses to improve a study's ability to detect true effects.
Read the white paper Building the Evidence Base for the Medical Home: What Sample and Sample Size Do Studies Need? here.
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