Literature DB >> 27261204

A Predictive Model to Estimate Cost Savings of a Novel Diagnostic Blood Panel for Diagnosis of Diarrhea-predominant Irritable Bowel Syndrome.

Mark Pimentel1, Chris Purdy2, Raf Magar3, Ali Rezaie4.   

Abstract

PURPOSE: A high incidence of irritable bowel syndrome (IBS) is associated with significant medical costs. Diarrhea-predominant IBS (IBS-D) is diagnosed on the basis of clinical presentation and diagnostic test results and procedures that exclude other conditions. This study was conducted to estimate the potential cost savings of a novel IBS diagnostic blood panel that tests for the presence of antibodies to cytolethal distending toxin B and anti-vinculin associated with IBS-D.
METHODS: A cost-minimization (CM) decision tree model was used to compare the costs of a novel IBS diagnostic blood panel pathway versus an exclusionary diagnostic pathway (ie, standard of care). The probability that patients proceed to treatment was modeled as a function of sensitivity, specificity, and likelihood ratios of the individual biomarker tests. One-way sensitivity analyses were performed for key variables, and a break-even analysis was performed for the pretest probability of IBS-D. Budget impact analysis of the CM model was extrapolated to a health plan with 1 million covered lives.
FINDINGS: The CM model (base-case) predicted $509 cost savings for the novel IBS diagnostic blood panel versus the exclusionary diagnostic pathway because of the avoidance of downstream testing (eg, colonoscopy, computed tomography scans). Sensitivity analysis indicated that an increase in both positive likelihood ratios modestly increased cost savings. Break-even analysis estimated that the pretest probability of disease would be 0.451 to attain cost neutrality. The budget impact analysis predicted a cost savings of $3,634,006 ($0.30 per member per month). IMPLICATIONS: The novel IBS diagnostic blood panel may yield significant cost savings by allowing patients to proceed to treatment earlier, thereby avoiding unnecessary testing.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  IBS diagnostic blood panel; budget impact analysis; colonoscopy; cost-minimization; diarrhea-predominant irritable bowel syndrome

Mesh:

Substances:

Year:  2016        PMID: 27261204     DOI: 10.1016/j.clinthera.2016.05.003

Source DB:  PubMed          Journal:  Clin Ther        ISSN: 0149-2918            Impact factor:   3.393


  5 in total

1.  Cost-Effective Treatments for Irritable Bowel Syndrome.

Authors:  Eric D Shah
Journal:  Gastroenterol Hepatol (N Y)       Date:  2020-01

2.  Update on Irritable Bowel Syndrome Diagnostics and Therapeutics.

Authors:  Mark Pimentel
Journal:  Gastroenterol Hepatol (N Y)       Date:  2016-07

3.  Fecal Bile Acid Testing in Assessing Patients With Chronic Unexplained Diarrhea: Implications for Healthcare Utilization.

Authors:  Priya Vijayvargiya; Daniel Gonzalez Izundegui; Gerardo Calderon; Sarah Tawfic; Sarah Batbold; Michael Camilleri
Journal:  Am J Gastroenterol       Date:  2020-07       Impact factor: 10.864

4.  Usefulness of Machine Learning-Based Gut Microbiome Analysis for Identifying Patients with Irritable Bowels Syndrome.

Authors:  Hirokazu Fukui; Akifumi Nishida; Satoshi Matsuda; Fumitaka Kira; Satoshi Watanabe; Minoru Kuriyama; Kazuhiko Kawakami; Yoshiko Aikawa; Noritaka Oda; Kenichiro Arai; Atsushi Matsunaga; Masahiko Nonaka; Katsuhiko Nakai; Wahei Shinmura; Masao Matsumoto; Shinji Morishita; Aya K Takeda; Hiroto Miwa
Journal:  J Clin Med       Date:  2020-07-27       Impact factor: 4.241

5.  Development of a Score to Predict Positive Colonic Histology in Chronic Diarrhea Assessed in Open-access Colonoscopy.

Authors:  Jessica Atieh; Victor Chedid; Katayoun Khoshbin; Sunanda Kane; Michael Camilleri
Journal:  J Clin Gastroenterol       Date:  2021-09-01       Impact factor: 3.174

  5 in total

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