OBJECTIVES: To illustrate methods using administrative data on patients with diabetes that can offer a foundation for using network analyses in managed care. STUDY DESIGN: The study used an administrative claims database to analyze patients with diabetes in a large health plan in Hawaii in 2010. METHODS: The networks were explored graphically and analyzed at several levels of complexity. Levels ranged from major components comprising the majority in the networks to smaller, highly connected cliques to communities of patients and physicians grouped by a network algorithm. The attributes of patients linked by seeing the same primary physicians were evaluated using an exponential random graph model that predicted links in the network. RESULTS: The study included 41,941 patients with diabetes of Native Hawaiian (16.3%), Filipino (14.2%), Japanese (46.7%), white (11.2%), and other (11.6%) ethnicity. About half were 65 years or older. When examined by Hawaiian island of residence, at least 95% of patients and at least 78% of physicians belonged to loosely connected major components within a network. Smaller communities of patients, identified by being closely linked together, averaged 150 to 177 patients; communities of physicians averaged 3 to 8 physicians. The average numbers of patients sharing physicians and physicians sharing patients were greater on the island of Oahu than on the rural neighboring islands. Patients of the same ethnicity were significantly more likely to share the same primary physician. CONCLUSIONS: Network analyses reveal structures and links that health plans could leverage to strengthen quality improvement and disease management programs.
OBJECTIVES: To illustrate methods using administrative data on patients with diabetes that can offer a foundation for using network analyses in managed care. STUDY DESIGN: The study used an administrative claims database to analyze patients with diabetes in a large health plan in Hawaii in 2010. METHODS: The networks were explored graphically and analyzed at several levels of complexity. Levels ranged from major components comprising the majority in the networks to smaller, highly connected cliques to communities of patients and physicians grouped by a network algorithm. The attributes of patients linked by seeing the same primary physicians were evaluated using an exponential random graph model that predicted links in the network. RESULTS: The study included 41,941 patients with diabetes of Native Hawaiian (16.3%), Filipino (14.2%), Japanese (46.7%), white (11.2%), and other (11.6%) ethnicity. About half were 65 years or older. When examined by Hawaiian island of residence, at least 95% of patients and at least 78% of physicians belonged to loosely connected major components within a network. Smaller communities of patients, identified by being closely linked together, averaged 150 to 177 patients; communities of physicians averaged 3 to 8 physicians. The average numbers of patients sharing physicians and physicians sharing patients were greater on the island of Oahu than on the rural neighboring islands. Patients of the same ethnicity were significantly more likely to share the same primary physician. CONCLUSIONS: Network analyses reveal structures and links that health plans could leverage to strengthen quality improvement and disease management programs.
Authors: Bruce E Landon; Nancy L Keating; Jukka-Pekka Onnela; Alan M Zaslavsky; Nicholas A Christakis; A James O'Malley Journal: JAMA Intern Med Date: 2018-01-01 Impact factor: 21.873
Authors: Craig Evan Pollack; Gary E Weissman; Klaus W Lemke; Peter S Hussey; Jonathan P Weiner Journal: J Gen Intern Med Date: 2012-06-14 Impact factor: 5.128
Authors: Michael L Barnett; Bruce E Landon; A James O'Malley; Nancy L Keating; Nicholas A Christakis Journal: Health Serv Res Date: 2011-04-26 Impact factor: 3.402