FINGER (Forming and Identifying New Groups of Expected Risks): developing and validating a new predictive model to identify patients with high healthcare cost and at risk of admission
Predictive statistical models used in population stratification programmes are complex and usually difficult to interpret for primary care professionals. We designed FINGER (Forming and Identifying New Groups of Expected Risks), a new model based on clinical criteria, easy to understand and implemen...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/13179 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/13179 |
| Access Level: | acceso abierto |
| Palabra clave: | 364.69 Predictive model Healthcare costs Patients Public health assessment of healthcare needs multiple chronic conditions patient care management primary health care risk assessment target population Atención primaria y medicina de familia Salud pública (Medicina) Econometría (Economía) Economía pública Finanzas 3212 Salud Pública 5302 Econometría |
| Sumario: | Predictive statistical models used in population stratification programmes are complex and usually difficult to interpret for primary care professionals. We designed FINGER (Forming and Identifying New Groups of Expected Risks), a new model based on clinical criteria, easy to understand and implement by physicians. Our aim was to assess the ability of FINGER to predict costs and correctly identify patients with high resource use in the following year. |
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