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. 2016 Oct 14;4(4):e29. doi: 10.2196/medinform.6530

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©Alvin Rajkomar, Joanne Wing Lan Yim, Kevin Grumbach, Ami Parekh. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 14.10.2016.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.

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The fractions of all patients assigned to the primary care work clusters in 4 selected clinics and their unweighted and weighted panel sizes. The distribution of patients across clusters was unique to each clinic, and because each cluster is weighted differently, the difference between weighted and unweighted panel sizes differed for each clinic as well. The geriatric clinic, which has 41% of its population assigned to the high work cluster, had a weighted panel size that was more than twice the unweighted size.