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2015
2015
OBJECTIVE
Health information technology (HIT) holds promise in increasing access to rheumatologists by improving the quality and efficiency of referrals, but few studies have examined its use for this purpose. We evaluated the use and impact of a novel electronic referral (eReferral) system in rheumatology in a safety-net health system.
METHODS
We examined eReferrals over 4 years. Our primary outcome was use of preconsultation exchange, defined as back-and-forth communication between referring and specialty care providers, facilitating triage of referrals, requests for more information, or resolution of questions without a visit. We calculated the proportion of eReferrals that underwent preconsultation exchange, time to reviewer response, and number of visits scheduled. To increase generalizability, we selected a random sample of eReferrals to undergo additional blinded, adjudicated review to assess agreement on appropriateness for preconsultation exchange.
RESULTS
Between 2008 and 2012, 2,383 eReferrals were reviewed and 2,105 were eligible for analysis. One-fourth of eReferrals were resolved without a clinic visit. The proportion of eReferrals undergoing preconsultation exchange increased over time (55% in 2008 versus 74% in 2011), and the volume of referrals also steadily increased over time. Reviewer response time averaged between 1 and 4 days. In the random sample of eReferrals that underwent adjudicated review, agreement between reviewers was high (κ = 0.72).
CONCLUSION
HIT-enabled preconsultation exchange was used for a majority of eReferrals and facilitated communication between referring clinicians and rheumatologists. This redesigned system of care allowed for triage of a high number of referrals, with many referrals determined to be appropriate for preconsultation exchange.
View on PubMed2015
OBJECTIVE
Cross-sectional studies have observed that muscle weakness is associated with worse physical function among women with systemic lupus erythematosus (SLE). The present study examines whether reduced upper and lower extremity muscle strength predict declines in function over time among adult women with SLE.
METHODS
One hundred forty-six women from a longitudinal SLE cohort participated in the study. All measures were collected during in-person research visits approximately 2 years apart. Upper extremity muscle strength was assessed by grip strength. Lower extremity muscle strength was assessed by peak knee torque of extension and flexion. Physical function was assessed using the Short Physical Performance Battery (SPPB). Regression analyses modeled associations of baseline upper and lower extremity muscle strength with followup SPPB scores controlling for baseline SPPB, age, SLE duration, SLE disease activity (Systemic Lupus Activity Questionnaire), physical activity level, prednisone use, body composition, and depression. Secondary analyses tested whether associations of baseline muscle strength with followup in SPPB scores differed between intervals of varying baseline muscle strength.
RESULTS
Lower extremity muscle strength strongly predicted changes over 2 years in physical function even when controlling for covariates. The association of reduced lower extremity muscle strength with reduced physical function in the future was greatest among the weakest women.
CONCLUSION
Reduced lower extremity muscle strength predicted clinically significant declines in physical function, especially among the weakest women. Future studies should test whether therapies that promote preservation of lower extremity muscle strength may prevent declines in function among women with SLE.
View on PubMed2015
2015
2015
2015
OBJECTIVE
Despite looming rheumatologist shortages and a growing number of patients with arthritis and other rheumatic conditions, nationwide estimates of access to rheumatology care have never been reported. We aimed to measure travel times as a proxy to access to care and to determine the individual and area-level factors associated with long travel times to rheumatologists in the U.S.
METHODS
We used Medicare Part B claims for the 2009 Medicare Chronic Condition Warehouse 5% rheumatoid arthritis/osteoarthritis cohort. Using Google Maps we estimated driving time from the center of a beneficiary's home ZIP code to the center of their rheumatologist's office ZIP code. We examined predictors of travel time ≥90 min in a series of generalized linear mixed models adjusting for rheumatologist supply, rurality, and individual patient characteristics including age, race, gender, and income.
RESULTS
We included 41,693 Medicare beneficiaries with 1 or more visits to a rheumatologist in 2009. The median estimated beneficiary travel time to a rheumatologist was 22 min [interquartile range (IQR): 12-40 min]. Overall, 7% of beneficiaries traveled 90 min or longer to visit a rheumatologist. Even after adjusting for covariates, independent predictors of long travel times included living in areas with no or low supply of rheumatologists and living in the Mountain region of the U.S.
CONCLUSIONS
A small but significant proportion of patients in the U.S. traveled very long distances to visit a rheumatologist, and most of these individuals resided in areas with no or low supplies of rheumatologists. These data suggest that addressing shortages in rheumatology care for patients in low-supply areas is a key target for improving access to rheumatologists.
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