OBJECTIVE: To evaluate the association between patterns of fragmented care and emergency department (ED) use among adult patients with diabetes and chronic kidney disease. STUDY DESIGN: Observational study in an open healthcare system. METHODS: The study sample included patients with diabetes and chronic kidney disease (mean estimated glomerular filtration rate, 20-60 mL/min) and with an established primary care provider. Dispersion of care was defined by a fragmentation of care index (range, 0-1), with zero reflecting all care in 1 outpatient clinic and 1 reflecting each visit at a different clinic site. We used a negative binomial model to estimate the influence of fragmentation on ED use after adjusting for patient demographic characteristics, insurance, diabetes control, and number of comorbidities; results are reported as incidence rate ratios and associated 95% confidence intervals (CIs). The main outcome measure was the number of ED visits from 2002 to 2003. RESULTS: Of 3873 patients with diabetes having an established primary care provider, 623 (16.1%) had chronic kidney disease and comprised the final study sample. On average, patients made 19.0 (95% CI, 18.5-20.4) outpatient visits and 1.2 (95% CI, 1.1-1.4) ED visits over the 2-year period. The median fragmentation of care index was 0.48; 14.3% of subjects had a fragmentation of care index of zero. In the adjusted model, a 0.1-U increase in the fragmentation of care index was associated with a 15% increase in the number of ED visits (incidence rate ratio, 1.15; 95% CI, 1.09-1.21). CONCLUSIONS: The posited benefits of specialist referrals among patients with complex diabetes may be partially negated by care fragmentation. Better models for care coordination and stronger evidence of the marginal benefits of referrals are needed.
OBJECTIVE: To evaluate the association between patterns of fragmented care and emergency department (ED) use among adult patients with diabetes and chronic kidney disease. STUDY DESIGN: Observational study in an open healthcare system. METHODS: The study sample included patients with diabetes and chronic kidney disease (mean estimated glomerular filtration rate, 20-60 mL/min) and with an established primary care provider. Dispersion of care was defined by a fragmentation of care index (range, 0-1), with zero reflecting all care in 1 outpatient clinic and 1 reflecting each visit at a different clinic site. We used a negative binomial model to estimate the influence of fragmentation on ED use after adjusting for patient demographic characteristics, insurance, diabetes control, and number of comorbidities; results are reported as incidence rate ratios and associated 95% confidence intervals (CIs). The main outcome measure was the number of ED visits from 2002 to 2003. RESULTS: Of 3873 patients with diabetes having an established primary care provider, 623 (16.1%) had chronic kidney disease and comprised the final study sample. On average, patients made 19.0 (95% CI, 18.5-20.4) outpatient visits and 1.2 (95% CI, 1.1-1.4) ED visits over the 2-year period. The median fragmentation of care index was 0.48; 14.3% of subjects had a fragmentation of care index of zero. In the adjusted model, a 0.1-U increase in the fragmentation of care index was associated with a 15% increase in the number of ED visits (incidence rate ratio, 1.15; 95% CI, 1.09-1.21). CONCLUSIONS: The posited benefits of specialist referrals among patients with complex diabetes may be partially negated by care fragmentation. Better models for care coordination and stronger evidence of the marginal benefits of referrals are needed.
Authors: Theresa L Walunas; Kathryn L Jackson; Anh H Chung; Karen A Mancera-Cuevas; Daniel L Erickson; Rosalind Ramsey-Goldman; Abel Kho Journal: Arthritis Care Res (Hoboken) Date: 2017-08-08 Impact factor: 4.794
Authors: Rahul Garg; Usha Sambamoorthi; Xi Tan; Soumit K Basu; Treah Haggerty; Kimberly M Kelly Journal: Transl Behav Med Date: 2018-05-23 Impact factor: 3.046
Authors: Todd W Lyons; Karen L Olson; Nathan P Palmer; Reed Horwitz; Kenneth D Mandl; Andrew M Fine Journal: Acad Emerg Med Date: 2017-10-23 Impact factor: 3.451
Authors: Holly M Holmes; Ruili Luo; Yong-Fang Kuo; Jacques Baillargeon; James S Goodwin Journal: Pharmacoepidemiol Drug Saf Date: 2013-03-14 Impact factor: 2.890