Comparison of tuberculin skin testing reactivity in opioid-dependent patients seeking treatment with methadone versus buprenorphine: policy implications for tuberculosis screening.

BACKGROUND: Buprenorphine's availability in primary care settings offers increased access to treatment and linkage to primary care for opioid-dependent patients. Currently, tuberculin skin testing (TST) is recommended for patients enrolling in methadone maintenance treatment (MMT), but not for those enrolling in buprenorphine maintenance treatment (BMT). OBJECTIVES: To compare TST screening results in enrollees in BMT and MMT programs and assess the correlates of TST positivity among these subjects. METHODS: A cross-sectional analysis of a retrospective cohort study was conducted to compare concurrent TST results among contemporaneously matched groups of MMT and BMT patients in the same community. RESULTS: TST positivity was approximately 9% in both MMT and BMT settings (p = .27). Increased TST positivity was associated with being Black (AOR = 3.53, CI = 1.28-9.77), Hispanic (AOR = 3.11, CI = 1.12-8.60), and having higher education (AOR = 3.01, CI = 1.20-7.53). CONCLUSIONS: These results confirm a similar high prevalence of TST positivity in opioid-dependent patients enrolling in MMT and BMT programs. Racial and ethnic health disparities remain associated with TST positivity, yet a relationship between higher education and tuberculosis requires further investigation. SCIENTIFIC SIGNIFICANCE: These data suggest the importance of incorporating TST screening in emerging BMT programs as a mechanism to provide increased detection and treatment of tuberculosis infection in opioid-dependent patient populations.

Combining Healthcare-Based and Participatory Approaches to Surveillance: Trends in Diarrheal and Respiratory Conditions Collected by a Mobile Phone System by Community Health Workers in Rural Nepal.

BACKGROUND: Surveillance systems are increasingly relying upon community-based or crowd-sourced data to complement traditional facilities-based data sources. Data collected by community health workers during the routine course of care could combine the early warning power of community-based data collection with the predictability and diagnostic regularity of facility data. These data could inform public health responses to epidemics and spatially-clustered endemic diseases. Here, we analyze data collected on a daily basis by community health workers during the routine course of clinical care in rural Nepal. We evaluate if such community-based surveillance systems can capture temporal trends in diarrheal diseases and acute respiratory infections. METHODS: During the course of their clinical activities from January to December 2013, community health workers recorded healthcare encounters using mobile phones. In parallel, we accessed condition-specific admissions from 2011-2013 in the hospital from which the community health program was based. We compared diarrhea and acute respiratory infection rates from both the hospital and the community, and assigned three categories of local disease activity (low, medium, and high) to each week in each village cluster with categories determined by tertiles. We compared condition-specific mean hospital rates across categories using ANOVA to assess concordance between hospital and community-collected data. RESULTS: There were 2,710 cases of diarrhea and 373 cases of acute respiratory infection reported by community health workers during the one-year study period. At the hospital, the average weekly incidence of diarrhea and acute respiratory infections over the three-year period was 1.8 and 3.9 cases respectively per 1,000 people in each village cluster. In the community, the average weekly rate of diarrhea and acute respiratory infections was 2.7 and 0.5 cases respectively per 1,000 people. Both diarrhea and acute respiratory infections exhibited significant differences between the three categories of disease rate burden (diarrhea p = 0.009, acute respiratory infection p = 0.001) when comparing community health worker-collected rates to hospital rates. CONCLUSION: Community-level data on diarrhea and acute respiratory infections modestly correlated with hospital data for the same condition in each village each week. Our experience suggests that community health worker-collected data on mobile phones may be a feasible adjunct to other community- and healthcare-related data sources for surveillance of such conditions. Such systems are vitally needed in resource-limited settings like rural Nepal.