Evaluation of a telementoring intervention for pain management in the Veterans Health Administration.

OBJECTIVE: Half of all Veterans experience chronic pain yet many face geographical barriers to specialty pain care. In 2011, the Veterans Health Administration (VHA) launched the Specialty Care Access Network-ECHO (SCAN-ECHO), which uses telehealth technology to provide primary care providers with case-based specialist consultation and pain management education. Our objective was to evaluate the pilot SCAN-ECHO pain management program (SCAN-ECHO-PM). DESIGN AND SETTING: This was a longitudinal observational evaluation of SCAN-ECHO-PM in seven regional VHA healthcare networks. METHODS: We identified the patient panels of primary care providers who submitted a consultation to one or more SCAN-ECHO-PM sessions. We constructed multivariable Cox proportional hazards models to assess the association between provider SCAN-ECHO-PM consultation and 1) delivery of outpatient care (physical medicine, mental health, substance use disorder, and pain medicine) and 2) medication initiation (antidepressants, anticonvulsants, and opioid analgesics). RESULTS: Primary care providers (N = 159) who presented one or more SCAN-ECHO-PM sessions had patient panels of 22,454 patients with chronic noncancer pain (CNCP). Provider consultation to SCAN-ECHO-PM was associated with utilization of physical medicine [hazard ratio (HR) 1.10, 95% confidence interval (CI) 1.05-1.14] but not mental health (HR 0.99, 95% CI 0.93-1.05), substance use disorder (HR 0.93, 95% CI 0.84-1.03) or specialty pain clinics (HR 1.01, 95% CI 0.94-1.08). SCAN-ECHO-PM consultation was associated with initiation of an antidepressant (HR 1.09, 95% CI 1.02-1.15) or anticonvulsant medication (HR 1.13, 95% CI 1.06-1.19) but not an opioid analgesic (HR 1.05, 0.99-1.10). CONCLUSIONS: SCAN-ECHO-PM was associated with increased utilization of physical medicine services and initiation of nonopioid medications among patients with CNCP. SCAN-ECHO-PM may provide a novel means of building pain management competency among primary care providers.

Trajectories of kidney function decline in the 2 years before initiation of long-term dialysis.

BACKGROUND: Little is known about patterns of kidney function decline leading up to the initiation of long-term dialysis. STUDY DESIGN: Retrospective cohort study. SETTING & PARTICIPANTS: 5,606 Veterans Affairs patients who initiated long-term dialysis in 2001-2003. PREDICTOR: Trajectory of estimated glomerular filtration rate (eGFR) during the 2-year period before initiation of long-term dialysis. OUTCOMES & MEASUREMENTS: Patient characteristics and care practices before and at the time of dialysis initiation and survival after initiation. RESULTS: We identified 4 distinct trajectories of eGFR during the 2-year period before dialysis initiation: 62.8% of patients had persistently low level of eGFR < 30 mL/min/1.73 m2 (mean eGFR slope, 7.7 ± 4.7 [SD] mL/min/1.73 m2 per year), 24.6% had progressive loss of eGFR from levels of approximately 30-59 ml/min/1.73 m2 (mean eGFR slope, 16.3 ± 7.6 mL/min/1.73 m2 per year), 9.5% had accelerated loss of eGFR from levels > 60 mL/min/1.73 m2 (mean eGFR slope, 32.3 ± 13.4 mL/min/1.73 m2 per year), and 3.1% experienced catastrophic loss of eGFR from levels > 60 mL/min/1.73 m2 within 6 months or less. Patients with steeper eGFR trajectories were more likely to have been hospitalized and have an inpatient diagnosis of acute kidney injury. They were less likely to have received recommended predialysis care and had a higher risk of death in the first year after dialysis initiation. CONCLUSIONS: There is substantial heterogeneity in patterns of kidney function loss leading up to the initiation of long-term dialysis perhaps calling for a more flexible approach toward preparing for end-stage renal disease.

Prognostic implications of the urinary albumin to creatinine ratio in veterans of different ages with diabetes.

BACKGROUND: Albuminuria is associated with an increased risk of death independent of level of renal function. Whether this association is similar for adults of all ages is not known. METHODS: We examined the association between the albumin to creatinine ratio (ACR) and all-cause mortality after stratification by estimated glomerular filtration rate (eGFR) and age group in 94 934 veterans with diabetes mellitus. Cohort members had at least 1 ACR recorded in the Veterans Affairs Health Care System between October 1, 2002, and September 30, 2003, and were followed up for death through October 15, 2009. RESULTS: From the youngest to the oldest age group, the prevalence of an eGFR less than 60 mL/min/1.73 m(2) ranged from 11% to 41%; microalbuminuria (ACR 30-299 mg/g) ranged from 19% to 28%; and macroalbuminuria (ACR > or =300 mg/g) ranged from 3.2% to 3.7%. Of patients with an eGFR less than 60 mL/min/1.73 m(2), 72% of those younger than 65 years, 74% of those 65 to 74 years old, and 59% of those 75 years and older had an eGFR of 45 to 59 mL/min/1.73 m(2). In all age groups, less than 35% of these patients had albuminuria (ie, ACR > or =30 mg/g). In patients 75 years and older, the ACR was independently associated with an increased risk of death at all levels of eGFR after adjusting for potential confounders. In younger age groups, this association was present at higher levels of eGFR but seemed to be attenuated at lower levels [corrected]. CONCLUSION: The ACR is independently associated with mortality at all levels of eGFR in older adults with diabetes and may be particularly helpful for risk stratification in the large group with moderate reductions in eGFR.

Case-mix adjusting performance measures in a veteran population: pharmacy- and diagnosis-based approaches.

OBJECTIVE: To compare the rankings for health care utilization performance measures at the facility level in a Veterans Health Administration (VHA) health care delivery network using pharmacy- and diagnosis-based case-mix adjustment measures. DATA SOURCES/STUDY SETTING: The study included veterans who used inpatient or outpatient services in Veterans Integrated Service Network (VISN) 20 during fiscal year 1998 (October 1997 to September 1998; N = 126,076). Utilization and pharmacy data were extracted from VHA national databases and the VISN 20 data warehouse. STUDY DESIGN: We estimated concurrent regression models using pharmacy or diagnosis information in the base year (FY1998) to predict health service utilization in the same year. Utilization measures included bed days of care for inpatient care and provider visits for outpatient care. PRINCIPAL FINDINGS: Rankings of predicted utilization measures across facilities vary by case-mix adjustment measure. There is greater consistency within the diagnosis-based models than between the diagnosis- and pharmacy-based models. The eight facilities were ranked differently by the diagnosis- and pharmacy-based models. CONCLUSIONS: Choice of case-mix adjustment measure affects rankings of facilities on performance measures, raising concerns about the validity of profiling practices. Differences in rankings may reflect differences in comparability of data capture across facilities between pharmacy and diagnosis data sources, and unstable estimates due to small numbers of patients in a facility.