TY  - GEN
N2  - The use of predictive analytics can help health systems target the right services to the right patients at the right time, while improving population health. Multilevel data, or data at the interpersonal, organizational, community and policy levels, is rarely sought after but may be used to improve risk prediction by providing information about a patient and the many groups to which they belong.  Colorectal cancer screening promotion can be expensive and not all patients need it.  This study assessed the availability of multilevel data for use in a colorectal cancer screening risk prediction model in accordance with the Social-ecological Model (SEM) and assessed its ability to improve prediction over standard models based on individual level data.
DO  - 10.6083/s4655h26g
DO  - DOI
AB  - The use of predictive analytics can help health systems target the right services to the right patients at the right time, while improving population health. Multilevel data, or data at the interpersonal, organizational, community and policy levels, is rarely sought after but may be used to improve risk prediction by providing information about a patient and the many groups to which they belong.  Colorectal cancer screening promotion can be expensive and not all patients need it.  This study assessed the availability of multilevel data for use in a colorectal cancer screening risk prediction model in accordance with the Social-ecological Model (SEM) and assessed its ability to improve prediction over standard models based on individual level data.
T1  - The use of predictive analytics for population health management,  integrating multilevel data to predict colorectal cancer screening
DA  - 2021
AU  - Petrik, Amanda F.
L1  - https://digitalcollections.ohsu.edu/record/9308/files/Petrik.Amanda.2021.pdf
PB  - Oregon Health and Science University
PY  - 2021
ID  - 9308
L4  - https://digitalcollections.ohsu.edu/record/9308/files/Petrik.Amanda.2021.pdf
KW  - Colonic Neoplasms
KW  - Population Health
KW  - Multilevel Analysis
KW  - Colorectal Neoplasms
KW  - Early Detection of Cancer
KW  - Prognosis
KW  - Policy
KW  - preventative care
KW  - health care outcome assessment
TI  - The use of predictive analytics for population health management,  integrating multilevel data to predict colorectal cancer screening
Y1  - 2021
L2  - https://digitalcollections.ohsu.edu/record/9308/files/Petrik.Amanda.2021.pdf
LK  - https://digitalcollections.ohsu.edu/record/9308/files/Petrik.Amanda.2021.pdf
UR  - https://digitalcollections.ohsu.edu/record/9308/files/Petrik.Amanda.2021.pdf
ER  -