OBJECTIVE: To assess the impact of organizational features and improvement strategies of primary care clinics on health care costs of adults with diabetes. RESEARCH DESIGN AND METHODS: This study included a prospective cohort study of 1,628 adults with diabetes in a large, health care organization receiving care in 84 clinics within 18 medical groups. Data from surveys of patients, clinic medical directors and managers, and medical record reviews were merged with 3 years of medical claims. Costs were estimated using health plan data on resource use and common Medicare payment methodologies. Generalized linear regression models were used to analyze costs related to clinic characteristics, adjusting for individual patient comorbidity, demographic, and socioeconomic factors. RESULTS: Clinics with regular clinician meetings to discuss patient care problems and clinics that used diabetes registries to prioritize patients based on cardiovascular risk were associated with lower 3-year costs: -$3,962 (P = 0.002) and -$2,916 (P = 0.019), respectively. The use of databases to monitor lab results was associated with higher costs ($2,439, P = 0.038). Quality improvement strategies focused on resource use related to diabetes care (-$2,883, P = 0.017) or heart disease care (-$3,228, P = 0.014) were associated with lowered costs, whereas quality improvement strategies that emphasized pharmacy use for patients with heart disease ($3,059, P = 0.029) or depression ($2,962, P = 0.038) were associated with increased costs. CONCLUSIONS: Several organizational features of primary care offices were significant predictors of future health care costs for adults with diabetes. The mechanism by which such factors affect costs of care and the relationship of costs to clinical outcomes merits further evaluation.
OBJECTIVE: To assess the impact of organizational features and improvement strategies of primary care clinics on health care costs of adults with diabetes. RESEARCH DESIGN AND METHODS: This study included a prospective cohort study of 1,628 adults with diabetes in a large, health care organization receiving care in 84 clinics within 18 medical groups. Data from surveys of patients, clinic medical directors and managers, and medical record reviews were merged with 3 years of medical claims. Costs were estimated using health plan data on resource use and common Medicare payment methodologies. Generalized linear regression models were used to analyze costs related to clinic characteristics, adjusting for individual patient comorbidity, demographic, and socioeconomic factors. RESULTS: Clinics with regular clinician meetings to discuss patient care problems and clinics that used diabetes registries to prioritize patients based on cardiovascular risk were associated with lower 3-year costs: -$3,962 (P = 0.002) and -$2,916 (P = 0.019), respectively. The use of databases to monitor lab results was associated with higher costs ($2,439, P = 0.038). Quality improvement strategies focused on resource use related to diabetes care (-$2,883, P = 0.017) or heart disease care (-$3,228, P = 0.014) were associated with lowered costs, whereas quality improvement strategies that emphasized pharmacy use for patients with heart disease ($3,059, P = 0.029) or depression ($2,962, P = 0.038) were associated with increased costs. CONCLUSIONS: Several organizational features of primary care offices were significant predictors of future health care costs for adults with diabetes. The mechanism by which such factors affect costs of care and the relationship of costs to clinical outcomes merits further evaluation.
Authors: Todd P Gilmer; Patrick J O'Connor; JoAnn M Sperl-Hillen; William A Rush; Paul E Johnson; Gerald H Amundson; Stephen E Asche; Heidi L Ekstrom Journal: Health Serv Res Date: 2012-05-11 Impact factor: 3.402
Authors: Todd P Gilmer; Patrick J O'Connor; Alan R Sinaiko; Elyse O Kharbanda; David J Magid; Nancy E Sherwood; Kenneth F Adams; Emily D Parker; Karen L Margolis Journal: Am J Manag Care Date: 2014-08 Impact factor: 2.229
Authors: Kurt C Stange; Paul A Nutting; William L Miller; Carlos R Jaén; Benjamin F Crabtree; Susan A Flocke; James M Gill Journal: J Gen Intern Med Date: 2010-06 Impact factor: 5.128