Additional file 1: of Predictors of latent tuberculosis infection treatment completion in the US private sector: an analysis of administrative claims data

Carlson, Erin K.; Ho, Christine; Miller, Thaddeus L.; Stockbridge, Erica L.

doi:10.6084/m9.figshare.6389303.v1

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CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners. As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.

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Additional file 1: of Predictors of latent tuberculosis infection treatment completion in the US private sector: an analysis of administrative claims data

2018
See Associated Publication(s)
By Carlson, Erin K. ; Ho, Christine ; Miller, Thaddeus L. ; ...

Details:

Alternative Title:

figshare Academic Research System
Journal Article:

BMC Public Health
Personal Author:

Carlson, Erin K. ; Ho, Christine ; Miller, Thaddeus L. ; Stockbridge, Erica L.

Carlson, Erin K. ; Ho, Christine ; Miller, Thaddeus L. ; Stockbridge, Erica L. Less -
Corporate Authors:

College of Nursing and Health Innovation, University of Texas at Arlington ; Department of Advanced Health Analytics and Solutions, Magellan Health, Inc. ; Department of Health Behavior and Health Systems, University of North Texas, Health Science Center, School of Public Health ; Division of Tuberculosis Elimination, Centers for Disease Control and Prevention ; Institute for Patient Safety, University of North Texas, Health Science Center

College of Nursing and Health Innovation, University of Texas at Arlington ; Department of Advanced Health Analytics and Solutions, Magellan Health, Inc. ; Department of Health Behavior and Health Systems, University of North Texas, Health Science Center, School of Public Health ; Division of Tuberculosis Elimination, Centers for Disease Control and Prevention ; Institute for Patient Safety, University of North Texas, Health Science Center Less -
Description:

Excel file detailing the billing codes used in the analyses. Each tab provides information about a different variable.Â (XLS 385 kb)
Content Notes:

Stacks:56522
Keywords:

[+]

69999 Biological Sciences Not Elsewhere Classified 80699 Information Systems Not Elsewhere Classified Evolutionary Biology FOS: Biological Sciences FOS: Computer And Information Sciences
DOI:

https://dx.doi.org/10.6084/m9.figshare.6389303.v1
Landing Page:

https://springernature.figshare.com/articles/Additional_file_1_of_Predictors_of_latent_tuberculosis_infection_treatment_completion_in_the_US_private_sector_an_analysis_of_administrative_claims_data/6389303/1
Modified:

05/30/2018
Date Issued:

01/01/2018
Document Type:

Dataset
CIO:

NCHHSTP
Collection(s):

Stephen B. Thacker CDC Library collection
Main Document Checksum:

[+]

urn:sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855

English

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

[PDF - 898.76 KB]

Personal Author:

Stockbridge, Erica L. ;

Miller, Thaddeus L.
...

May 29 2018 | BMC Public Health. 18.

Description:

BackgroundFactors that affect latent tuberculosis infection (LTBI) treatment completion in the US have not been well studied beyond public health sett...

File Type:

[PDF - 898.76 KB]

File Type:

[PDF - 898.76 KB]

Additional file 1: of Predictors of latent tuberculosis infection treatment completion in the US private sector: an analysis of administrative claims data

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