Health care utilization in patients with gout: a prospective multicenter cohort study.

BACKGROUND: All published studies of health care utilization in gout have been cross-sectional to date, and most used a patient-reported diagnosis of gout. Our objective was to assess health care utilization and its predictors in patients with physician-confirmed gout in a prospective cohort study. METHODS: In a multi-center prospective cohort study of U.S. veterans with rheumatologist-confirmed gout (N = 186; two centers), we assessed patient self-reported overall and gout-specific health care utilization with the Gout Assessment Questionnaire (GAQ) every 3-months for a 9-month period. Comparisons were made using the student's t test or the chi-square, Wilcoxon rank sum test or Fisher exact test, as appropriate. Mixed effects Poisson regression was used to assess potential correlates of gout-related health care utilization. RESULTS: Mean age was 64.6 years, 98% were men, 13% Hispanic or Latino, 32% were African-American, 6% did not graduate high school, mean serum urate was 8.3 and mean Deyo-Charlson score was 3.1. During the past year, mean gout-related visits were as follows: rheumatologist, 1.5; primary care physician, 2 visits; ≥1 inpatient visits, 7%; ≥1 ER visits, 26%; and urgent care/walk-in visit, 33%. In longitudinal analyses, African-American race and gout flares in the last 3 months were associated with significantly higher rate ratio of gout-related outpatient visits. African-American race and lack of college education were associated with significantly higher rate ratio for gout-related urgent visits and overnight stays. CONCLUSIONS: African-American race and recent gout flares were associated with higher outpatient utilization and African-American race and no college education with higher urgent or inpatient utilization. Future studies should examine whether modifiable predictors of utilization can be targeted to reduce healthcare utilization in patients with gout.

Gout Self-Management in African American Veterans: A Qualitative Exploration of Challenges and Solutions From Patients' Perspectives.

OBJECTIVE: To explore gout self-management and associated challenges and solutions in African Americans. METHODS: We conducted semistructured interviews with 35 African American veterans with gout, who received health care at Birmingham or Philadelphia Veterans Affairs (VA) medical centers, had filled urate-lowering therapy (ULT; most commonly allopurinol) for at least 6 months, and had a ULT medication possession ratio ≥80%. The interview protocol was constructed to explore key concepts related to gout self-management, including initial diagnosis of gout, beginning medical care for gout, the course of the gout, ULT medication adherence, dietary strategies, comorbidity and side effects, and social support. RESULTS: Thirty-five African American male veterans with gout who had ≥80% ULT adherence (most commonly, allopurinol) were interviewed at Birmingham (n = 18) or Philadelphia (n = 17) VA medical centers. Mean age was 65 years, mean body mass index was 31.9 kg/m2 , 97% had hypertension, 23% had coronary artery disease, and 31% had renal failure. The main themes motivating African American veterans to better gout self-management were fear of pain, adherence to medications, self-discipline, lifestyle changes, information gathering, and developing a positive outlook. Birmingham participants more frequently revealed skipping gout medications. More Philadelphia participants discussed lifestyle/diet changes to prevent gout flares, indicated limiting social activities that involved drinking, and sought more information about gout self-management from health care providers and internet sources. CONCLUSION: Identified themes, including cultural differences by site, led to the development of a patient-centered intervention to improve gout self-management in African American men with gout.

Racial differences in health-related quality of life and functional ability in patients with gout.

OBJECTIVE: To compare the health-related quality of life (HRQOL) and the functional ability by race in patients with gout. METHODS: In a 9-month prospective cohort multicentre study, patients with gout self-reported race, dichotomized as Caucasian or African American (others excluded). We calculated HRQOL/function scores adjusted for age, study site and college education for Short Form-36 (SF-36; generic HRQOL), Gout Impact Scale (GIS; disease-specific HRQOL) and HAQ-disability index (HAQ-DI; functional ability). Longitudinally adjusted scores were computed using multivariable mixed-effect regression models with a random patient effect and fixed sequential visit effect (3-monthly visits). RESULTS: Compared with Caucasians (n = 107), African Americans (n = 60) with gout were younger (61.1 vs 67.3 years) and had higher median baseline serum urate (9.0 vs 7.9 mg/dl) (P < 0.01). African Americans with gout had worse HRQOL scores on three SF-36 domains, the mental component summary (MCS) and two of the five GIS scales than Caucasians [mean (se); P ⩽ 0.02 for all]: SF-36 mental health, 39.7 (1.1) vs 45.2 (0.9); SF-36 role emotional, 42.1 (4.2) vs 51.4 (4.2); SF-36 social functioning, 36.0 (1.1) vs 40.0 (0.9) (P = 0.04); SF-36 MCS, 43.2 (3.1) vs 50.0 (3.2); GIS unmet treatment need, 37.6 (1.6) vs 31.5 (1.4); and GIS concern during attacks, 53.3 (3.7) vs 47.4 (3.7). Differences between the respective HAQ-DI total scores were not statistically significant; 0.98 (0.1) vs 0.80 (1.0) (P = 0.11). Racial differences in SF-36 mental health, role emotional and MCS scales exceeded, and for HAQ-DI approached, the minimal clinically important difference thresholds. CONCLUSIONS: African Americans with gout have significantly worse HRQOL compared with Caucasians. Further research is necessary in the form of studies targeted at African Americans on how best to improve these outcomes.

Usability and Workflow Evaluation of "RhEumAtic Disease activitY" (READY). A Mobile Application for Rheumatology Patients and Providers.

BACKGROUND: RhEumAtic Disease activitY (READY) is a mobile health (mHealth) application that aims to create a shared platform integrating data from both patients and physicians, with a particular emphasis on arthritis disease activity. METHODS: We made READY available on an iPad and pilot implemented it at a rheumatology outpatient clinic. We conducted 1) a usability evaluation study to explore patients' and physicians' interactions with READY, and 2) a time motion study (TMS) to observe the clinical workflow before and after the implementation. RESULTS: A total of 33 patients and 15 physicians participated in the usability evaluation. We found usability problems in navigation, data entry, pain assessment, documentation, and instructions along with error messages. Despite these issues, 25 (75,76%) patients reported they liked READY. Physicians provided mixed feedback because they were concerned about the impact of READY on clinical workflow. Six physicians participated in the TMS. We observed 47 patient visits (44.72 hours) in the pre-implementation phase, and 42 patient visits (37.82 hours) in the post-implementation phase. We found that patients spent more time on READY than paper (4.39mins vs. 2.26mins), but overall, READY did not delay the workflow (pre = 52.08 mins vs. post = 45.46 mins). This time difference may be compensated with READY eliminating a workflow step for the staff. CONCLUSION: Patients preferred READY to paper documents. Many found it easier to input information because of the larger font size and the ease of 'tapping' rather than writing-out or circling answers. Even though patients spent more time on READY than using paper documents, the longer usage of READY was mainly due to when troubleshooting was needed. Most patients did not have problems after receiving initial support from the staff. This study not only enabled improvements to the software but also serves as good reference for other researchers or institutional decision makers who are interested in implementing such a technology.

Agreement between Rheumatologist and Patient-reported Adherence to Methotrexate in a US Rheumatoid Arthritis Registry.

OBJECTIVE: Rheumatologists have limited tools to assess medication adherence. The extent to which methotrexate (MTX) adherence is overestimated by rheumatologists is unknown. METHODS: We deployed an Internet survey to patients with rheumatoid arthritis (RA) participating in a US registry. Patient self-report was the gold standard compared to MTX recorded in the registry. RESULTS: Response rate to the survey was 44%. Of 228 patients whose rheumatologist reported current MTX at the time of the most recent registry visit, 45 (19.7%) had discontinued (n = 19, 8.3%) or missed ≥ 1 dose in the last month (n = 26, 11.4%). For the subgroup whose rheumatologist also confirmed at the next visit that they were still taking MTX (n = 149), only 2.6% reported not taking it, and 10.7% had missed at least 1 dose. CONCLUSION: MTX use was misclassified for 13%-20% of patients, mainly because of 1 or more missed doses rather than overt discontinuation. Clinicians should be aware of suboptimal adherence when assessing MTX response.

Linkage of a de-identified United States rheumatoid arthritis registry with administrative data to facilitate comparative effectiveness research.

OBJECTIVE: Linkages between registries and administrative data may provide a valuable resource for comparative effectiveness research. However, personal identifiers that uniquely identify individuals are not always available. Here we describe methods to link a de-identified arthritis registry and US Medicare data. The linked data set was also used to evaluate the generalizability of the registry to the US Medicare population. METHODS: Rheumatoid arthritis (RA) patients participating in the Consortium of Rheumatology Researchers of North America (CORRONA) registry were linked to Medicare data restricted to rheumatology claims or claims for RA. Deterministic linkage was performed using age, sex, provider identification number, and geographic location of the CORRONA site. We then searched for visit dates in Medicare matching visit dates in CORRONA, requiring ≥1 exact matching date. Linkage accuracy was quantified as a positive predictive value in a subcohort (n = 1,581) with more precise identifiers. RESULTS: CORRONA participants with self-reported Medicare (n = 11,001) were initially matched to 30,943 Medicare beneficiaries treated by CORRONA physicians. A total of 8,431 CORRONA participants matched on ≥1 visit; 5,317 matched uniquely on all visits. The number of patients who linked and linkage accuracy (from the subcohort) were high for patients with >2 visits (n = 3,458, 98% accuracy), exactly 2 visits (n = 822, 96% accuracy), and 1 visit (n = 1,037, 79% accuracy) that matched exactly on calendar date. Demographics and comorbidity profiles of registry participants were similar to nonparticipants, except participants were more likely to take disease-modifying antirheumatic drugs and biologic agents. CONCLUSION: Linkage between a national, de-identified outpatient arthritis registry and Medicare data on multiple nonunique identifiers appears feasible and valid.

Use of health plan combined with registry data to predict clinical trial recruitment.

BACKGROUND: Large pragmatic clinical trials (PCTs) are increasingly used to conduct comparative effectiveness research. In the context of planning a safety PCT of the live herpes zoster vaccine in rheumatoid arthritis (RA) patients aged ≥ 50 years receiving anti-tumor necrosis factor (TNF) therapy, we evaluated the use of health plan combined with registry data to assess the feasibility of recruiting the 4000 patients needed for the trial and to facilitate site selection. METHODS: Using national US data from Medicare, we identified older RA patients who received anti-TNF therapy in the last quarter of 2009. Extrapolations were made from the Medicare patient population to younger patients and those with other types of insurance using the Consortium of Rheumatology Researchers of North America (CORRONA) disease registry. Patients' treating rheumatologists were grouped into practices and sorted by size from the greatest to the least number of eligible patients. RESULTS: Approximately 50,000 RA patients receiving anti-TNF therapy were identified in the Medicare data, distributed across 1980 physician practices. After augmenting Medicare data with information from CORRONA and extrapolating to younger patients and those with other types of insurance, more than 12,000 potentially eligible study subjects were identified from the 50 largest rheumatology practices. CONCLUSION: Health plan and registry databases appear useful to assess feasibility of large pragmatic trials and to assist in selection of recruitment sites with the greatest number of potentially eligible patients. This novel approach is applicable to trials with simple inclusion/exclusion criteria that can be readily assessed in these data sources.

Physicians' explanations for apparent gaps in the quality of rheumatology care: results from the US Medicare Physician Quality Reporting System.

OBJECTIVE: The metrics used to assess quality of care and pay for performance in rheumatology are increasingly important. The Centers for Medicare and Medicaid Services established the Physician Quality Reporting System (PQRS) to allow physicians to report performance measures for many conditions, including osteoporosis and rheumatoid arthritis (RA). We described the frequency and nature of physician-reported reasons why recommended care for individual osteoporosis and RA patients was not provided. METHODS: Using national data on Medicare fee-for-service beneficiaries (2007-2009), we identified health care providers reporting on quality of care for any of 3 osteoporosis or 3 RA measures. PQRS reason codes allowed physicians to submit explanations why recommended care was not given. RESULTS: In 2009, 1,775 physicians reported on ≥1 osteoporosis PQRS measure and 630 physicians reported on ≥1 RA measure. For the older women whose physician reported on lifetime dual x-ray absorptiometry screening at least once since the age of 60 years via PQRS, 76% received such screening. Among the patients with physician-diagnosed osteoporosis reported via PQRS, 82% received prescription osteoporosis medication in the preceding year. For RA medication use reported via PQRS, 89% of patients received a disease-modifying antirheumatic drug or a biologic agent. For the remaining 11-24% of osteoporosis and RA patients, physicians reported medical, patient, system, or other reasons why care was considered but not provided. CONCLUSION: A substantial fraction of Medicare enrollees who did not receive recommended osteoporosis or RA care had physician-documented reasons for why care was not provided. For Medicare and other health plans that implement penalties for apparent nonperformance or delivery of suboptimal care, it will be important to allow physicians to provide reasons that care was considered medically inappropriate, refused, or otherwise not feasible.