BACKGROUND: One approach to improving outcomes for minority diabetics may be through better self-care. However, minority patients may encounter barriers to better self-care even within settings where variations in quality of care and insurance are minimized. OBJECTIVE: The objective of the study was to evaluate racial differences in long-term glucose self-monitoring and adherence rates in an HMO using evidence-based guidelines for self-monitoring. DESIGN: Retrospective cohort study using 10 years (1/1/1993-12/31/2002) of electronic medical record data was used. PATIENTS: Patients were 1,732 insured adult diabetics of black or white race newly initiated on hypoglycemic therapy in a large multi-specialty care group practice. MEASUREMENTS: Outcomes include incidence and prevalence of glucose self-monitoring, intensity of use, and rate of adherence to national recommended standards. RESULTS: We found no evidence of racial differences in adjusted initiation rates of glucose self-monitoring among insulin-treated patients, but found lower rates of initiation among black patients living in low-income areas. Intensity of glucose self-monitoring remained lower among blacks than whites throughout follow-up [IRR for insulin = 0.41 (0.27-0.62); IRR for oral hypoglycemic = 0.75 (0.63, 0.90)], with both groups monitoring well below recommended standards. Among insulin-treated patients, <1% of blacks and <10% of whites were self-monitoring 3 times per day; 36% of whites and 10% of blacks were self-monitoring at least once per day. CONCLUSIONS: Adherence to glucose self-monitoring standards was low, particularly among blacks, and racial differences in self-monitoring persisted within a health system providing equal access to services for diabetes patients. Early and continued emphasis on adherence among black diabetics may be necessary to reduce racial differences in long-term glucose self-monitoring.
BACKGROUND: One approach to improving outcomes for minority diabetics may be through better self-care. However, minority patients may encounter barriers to better self-care even within settings where variations in quality of care and insurance are minimized. OBJECTIVE: The objective of the study was to evaluate racial differences in long-term glucose self-monitoring and adherence rates in an HMO using evidence-based guidelines for self-monitoring. DESIGN: Retrospective cohort study using 10 years (1/1/1993-12/31/2002) of electronic medical record data was used. PATIENTS: Patients were 1,732 insured adult diabetics of black or white race newly initiated on hypoglycemic therapy in a large multi-specialty care group practice. MEASUREMENTS: Outcomes include incidence and prevalence of glucose self-monitoring, intensity of use, and rate of adherence to national recommended standards. RESULTS: We found no evidence of racial differences in adjusted initiation rates of glucose self-monitoring among insulin-treated patients, but found lower rates of initiation among black patients living in low-income areas. Intensity of glucose self-monitoring remained lower among blacks than whites throughout follow-up [IRR for insulin = 0.41 (0.27-0.62); IRR for oral hypoglycemic = 0.75 (0.63, 0.90)], with both groups monitoring well below recommended standards. Among insulin-treated patients, <1% of blacks and <10% of whites were self-monitoring 3 times per day; 36% of whites and 10% of blacks were self-monitoring at least once per day. CONCLUSIONS: Adherence to glucose self-monitoring standards was low, particularly among blacks, and racial differences in self-monitoring persisted within a health system providing equal access to services for diabetespatients. Early and continued emphasis on adherence among black diabetics may be necessary to reduce racial differences in long-term glucose self-monitoring.
Authors: Alyce S Adams; Fang Zhang; Connie Mah; Richard W Grant; Ken Kleinman; James B Meigs; Dennis Ross-Degnan Journal: Diabetes Care Date: 2005-12 Impact factor: 19.112
Authors: M Franciosi; F Pellegrini; G De Berardis; M Belfiglio; D Cavaliere; B Di Nardo; S Greenfield; S H Kaplan; M Sacco; G Tognoni; M Valentini; A Nicolucci Journal: Diabetes Care Date: 2001-11 Impact factor: 19.112
Authors: Andrew J Karter; Assiamira Ferrara; Jennifer Y Liu; Howard H Moffet; Lynn M Ackerson; Joe V Selby Journal: JAMA Date: 2002-05-15 Impact factor: 56.272
Authors: S A Mazzuca; N H Moorman; M L Wheeler; J A Norton; N S Fineberg; F Vinicor; S J Cohen; C M Clark Journal: Diabetes Care Date: 1986 Jan-Feb Impact factor: 19.112
Authors: Joy L Meier; Arthur L M Swislocki; Julio R Lopez; Robert H Noth; Patricia Bartlebaugh; David Siegel Journal: Am J Manag Care Date: 2002-06 Impact factor: 2.229
Authors: Alyce S Adams; Connie Mah Trinacty; Fang Zhang; Ken Kleinman; Richard W Grant; James B Meigs; Stephen B Soumerai; Dennis Ross-Degnan Journal: Diabetes Care Date: 2008-01-30 Impact factor: 19.112
Authors: Connie M Trinacty; Alyce S Adams; Stephen B Soumerai; Fang Zhang; James B Meigs; John D Piette; Dennis Ross-Degnan Journal: BMC Health Serv Res Date: 2009-02-07 Impact factor: 2.655