Predictors of latent tuberculosis infection treatment completion in the US private sector: an analysis of administrative claims data
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Help
Clear All

Query Builder

Query box

Help
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Predictors of latent tuberculosis infection treatment completion in the US private sector: an analysis of administrative claims data

Filetype[PDF-898.76 KB]


  • English
    • Details Supporting Files Datasets You May Also Like

    Details:

    • Alternative Title:
      BMC Public Health
    • Personal Author:
    • Description:
      Background

      Factors that affect latent tuberculosis infection (LTBI) treatment completion in the US have not been well studied beyond public health settings. This gap was highlighted by recent health insurance-related regulatory changes that are likely to increase LTBI treatment by private sector healthcare providers. We analyzed LTBI treatment completion in the private healthcare setting to facilitate planning around this important opportunity for tuberculosis (TB) control in the US.

      Methods

      We analyzed a national sample of commercial insurance medical and pharmacy claims data for people ages 0 to 64 years who initiated daily dose isoniazid treatment between July 2011 and March 2014 and who had complete data. All individuals resided in the US. Factors associated with treatment completion were examined using multivariable generalized ordered logit models and bivariate Kruskal-Wallis tests or Spearman correlations.

      Results

      We identified 1072 individuals with complete data who initiated isoniazid LTBI treatment. Treatment completion was significantly associated with less restrictive health insurance, age < 15 years, patient location, use of interferon-gamma release assays, non-poverty, HIV diagnosis, immunosuppressive drug therapy, and higher cumulative counts of clinical risk factors.

      Conclusions

      Private sector healthcare claims data provide insights into LTBI treatment completion patterns and patient/provider behaviors. Such information is critical to understanding the opportunities and limitations of private healthcare in the US to support treatment completion as this sector’s role in protecting against and eliminating TB grows.

      Electronic supplementary material

      The online version of this article (10.1186/s12889-018-5578-3) contains supplementary material, which is available to authorized users.

    • Subjects:
    • Source:
      BMC Public Health. 18.
    • Pubmed ID:
      29843664
    • Pubmed Central ID:
      PMC5975486
    • Document Type:
      Journal Article
    • Collection(s):
    • Main Document Checksum:
    • Download URL:
    • File Type:

    Datasets

      • Additional file 1: of Predictors of latent tuberculosis infection treatment completion in the US private sector: an analysis of administrative claims data
        Dataset Icon
        Cite
        Filetype[HTM]
        Personal Author:
        Carlson, Erin K. ;
        Ho, Christine
        ...
        2018 | NCHHSTP
        05/30/2018
        Description:
        Excel file detailing the billing codes used in the analyses. Each tab provides information about a different variable. (XLS 385 kb)
        File Type:
        Filetype[HTM]
        File Type:
        Filetype[HTM]

    More +

    You May Also Like

    Checkout today's featured content at stacks.cdc.gov