Chaos to complexity: leveling the playing field for measuring value in primary care

Rationale, aims and objectives Develop a risk‐stratification model that clusters primary care patients with similar co‐morbidities and social determinants and ranks ‘within‐practice’ clusters of complex patients based on likelihood of hospital and emergency department (ED) utilization. Methods A ret...

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Veröffentlicht in:	Journal of evaluation in clinical practice 2017-04, Vol.23 (2), p.430-438
Hauptverfasser:	Moran, William P., Zhang, Jingwen, Gebregziabher, Mulugeta, Brownfield, Elisha L., Davis, Kimberly S., Schreiner, Andrew D., Egan, Brent M., Greenberg, Raymond S., Kyle, T. Rogers, Marsden, Justin E., Ball, Sarah J., Mauldin, Patrick D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Age Distribution Aged Comorbidity Continental Population Groups - statistics & numerical data Continuity of care disease clustering Emergency Service, Hospital - utilization Female Hospitals - utilization Humans Kidney diseases Male Marital Status Middle Aged patient‐centred medical home Poverty - statistics & numerical data practice‐level resource allocation Primary care Primary Health Care - organization & administration Quantitative analysis Retrospective Studies Risk Adjustment - methods Risk factors risk stratification Sex Distribution social determinants of health Sociodemographics
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