Erica L Stockbridge1, Thaddeus L Miller, Erin K Carlson, Christine Ho. 1. Department of Health Behavior and Health Systems, School of Public Health, University of North Texas Health Science Center, Fort Worth, Texas (Drs Stockbridge and Miller); Department of Advanced Health Analytics and Solutions, Magellan Health, Inc, Scottsdale, Arizona (Dr Stockbridge); College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, Texas (Dr Carlson); and Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia (Dr Ho).
Abstract
CONTEXT: Targeted identification and treatment of people with latent tuberculosis infection (LTBI) are key components of the US tuberculosis elimination strategy. Because of recent policy changes, some LTBI treatment may shift from public health departments to the private sector. OBJECTIVES: To (1) develop methodology to estimate initiation and completion of treatment with isoniazid for LTBI using claims data, and (2) estimate treatment completion rates for isoniazid regimens from commercial insurance claims. METHODS: Medical and pharmacy claims data representing insurance-paid services rendered and prescriptions filled between January 2011 and March 2015 were analyzed. PARTICIPANTS: Four million commercially insured individuals 0 to 64 years of age. MAIN OUTCOME MEASURES: Six-month and 9-month treatment completion rates for isoniazid LTBI regimens. RESULTS: There was an annual isoniazid LTBI treatment initiation rate of 12.5/100 000 insured persons. Of 1074 unique courses of treatment with isoniazid for which treatment completion could be assessed, almost half (46.3%; confidence interval, 43.3-49.3) completed 6 or more months of therapy. Of those, approximately half (48.9%; confidence interval, 44.5-53.3) completed 9 months or more. CONCLUSIONS: Claims data can be used to identify and evaluate LTBI treatment with isoniazid occurring in the commercial sector. Completion rates were in the range of those found in public health settings. These findings suggest that the commercial sector may be a valuable adjunct to more traditional venues for tuberculosis prevention. In addition, these newly developed claims-based methods offer a means to gain important insights and open new avenues to monitor, evaluate, and coordinate tuberculosis prevention.
CONTEXT: Targeted identification and treatment of people with latent tuberculosis infection (LTBI) are key components of the US tuberculosis elimination strategy. Because of recent policy changes, some LTBI treatment may shift from public health departments to the private sector. OBJECTIVES: To (1) develop methodology to estimate initiation and completion of treatment with isoniazid for LTBI using claims data, and (2) estimate treatment completion rates for isoniazid regimens from commercial insurance claims. METHODS: Medical and pharmacy claims data representing insurance-paid services rendered and prescriptions filled between January 2011 and March 2015 were analyzed. PARTICIPANTS: Four million commercially insured individuals 0 to 64 years of age. MAIN OUTCOME MEASURES: Six-month and 9-month treatment completion rates for isoniazid LTBI regimens. RESULTS: There was an annual isoniazid LTBI treatment initiation rate of 12.5/100 000 insured persons. Of 1074 unique courses of treatment with isoniazid for which treatment completion could be assessed, almost half (46.3%; confidence interval, 43.3-49.3) completed 6 or more months of therapy. Of those, approximately half (48.9%; confidence interval, 44.5-53.3) completed 9 months or more. CONCLUSIONS: Claims data can be used to identify and evaluate LTBI treatment with isoniazid occurring in the commercial sector. Completion rates were in the range of those found in public health settings. These findings suggest that the commercial sector may be a valuable adjunct to more traditional venues for tuberculosis prevention. In addition, these newly developed claims-based methods offer a means to gain important insights and open new avenues to monitor, evaluate, and coordinate tuberculosis prevention.
Authors: Armen E Parsyan; Jussi Saukkonen; M Anita Barry; Sharon Sharnprapai; C Robert Horsburgh Journal: J Infect Date: 2006-06-12 Impact factor: 6.072
Authors: Roque Miramontes; Andrew N Hill; Rachel S Yelk Woodruff; Lauren A Lambert; Thomas R Navin; Kenneth G Castro; Philip A LoBue Journal: PLoS One Date: 2015-11-04 Impact factor: 3.240