Evidence map›Paper›PMID 25225800›Full record

ArticlePLoS medicine2014

The clinical and economic impact of point-of-care CD4 testing in mozambique and other resource-limited settings: a cost-effectiveness analysis.

Emily P Hyle, Ilesh V Jani, Jonathan Lehe, Amanda E Su, Robin Wood, Jorge Quevedo, Elena Losina, Ingrid V Bassett, Pamela P Pei, A David Paltiel and 4 more

Abstract read
In one paragraph

Article in PLoS medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Emily P HyleMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Division of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Ilesh V JaniInstituto Nacional da Saùde, Maputo, Mozambique.
Jonathan LeheClinton Health Access Initiative, Maputo, Mozambique.
Amanda E SuMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Robin WoodDesmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, and Department of Medicine, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa.
Jorge QuevedoClinton Health Access Initiative, Maputo, Mozambique.
Elena LosinaMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Harvard University Center for AIDS Research, Harvard Medical School, Boston, Massachusetts, United States of America; Department of Orthopedic Surgery, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Ingrid V BassettMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Harvard University Center for AIDS Research, Harvard Medical School, Boston, Massachusetts, United States of America.
Pamela P PeiMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
A David PaltielDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America.
Stephen ReschCenter for Health Decision Science, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Kenneth A FreedbergMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Division of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Harvard University Center for AIDS Research, Harvard Medical School, Boston, Massachusetts, United States of America; Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Trevor PeterClinton Health Access Initiative, Maputo, Mozambique.
Rochelle P WalenskyMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Division of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Harvard University Center for AIDS Research, Harvard Medical School, Boston, Massachusetts, United States of America; Division of Infectious Diseases, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
Optimizing HIV Care in Less Developed CountriesR01AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Emily Parker Hyle · 2004 to 2026
$21.5M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Novel Methods to Inform HIV/TB Clinical Trial DevelopmentR01AI093269 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI REDDY, KRISHNA P · 2011 to 2024
$6.8M
Linkage & Retention: A Randomized Trial to Optimize HIV/TB Care in South AfricaR01MH090326 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BASSETT, INGRID VALERIE · 2010 to 2014
$2.9M
NIAID NIH HHS P30 AI060354NIAID NIH HHS R01 AI058736NIAID NIH HHS R01 AI0932690NIAID NIH HHS T32 AI 007433NIAID NIH HHS T32 AI007433NIMH NIH HHS R01 MH090326
6 · The paper itself

Abstract

backgroundPoint-of-care CD4 tests at HIV diagnosis could improve linkage to care in resource-limited settings. Our objective is to evaluate the clinical and economic impact of point-of-care CD4 tests compared to laboratory-based tests in Mozambique. METHODS AND

findingsWe use a validated model of HIV testing, linkage, and treatment (CEPAC-International) to examine two strategies of immunological staging in Mozambique: (1) laboratory-based CD4 testing (LAB-CD4) and (2) point-of-care CD4 testing (POC-CD4). Model outcomes include 5-y survival, life expectancy, lifetime costs, and incremental cost-effectiveness ratios (ICERs). Input parameters include linkage to care (LAB-CD4, 34%; POC-CD4, 61%), probability of correctly detecting antiretroviral therapy (ART) eligibility (sensitivity: LAB-CD4, 100%; POC-CD4, 90%) or ART ineligibility (specificity: LAB-CD4, 100%; POC-CD4, 85%), and test cost (LAB-CD4, US$10; POC-CD4, US$24). In sensitivity analyses, we vary POC-CD4-specific parameters, as well as cohort and setting parameters to reflect a range of scenarios in sub-Saharan Africa. We consider ICERs less than three times the per capita gross domestic product in Mozambique (US$570) to be cost-effective, and ICERs less than one times the per capita gross domestic product in Mozambique to be very cost-effective. Projected 5-y survival in HIV-infected persons with LAB-CD4 is 60.9% (95% CI, 60.9%-61.0%), increasing to 65.0% (95% CI, 64.9%-65.1%) with POC-CD4. Discounted life expectancy and per person lifetime costs with LAB-CD4 are 9.6 y (95% CI, 9.6-9.6 y) and US$2,440 (95% CI, US$2,440-US$2,450) and increase with POC-CD4 to 10.3 y (95% CI, 10.3-10.3 y) and US$2,800 (95% CI, US$2,790-US$2,800); the ICER of POC-CD4 compared to LAB-CD4 is US$500/year of life saved (YLS) (95% CI, US$480-US$520/YLS). POC-CD4 improves clinical outcomes and remains near the very cost-effective threshold in sensitivity analyses, even if point-of-care CD4 tests have lower sensitivity/specificity and higher cost than published values. In other resource-limited settings with fewer opportunities to access care, POC-CD4 has a greater impact on clinical outcomes and remains cost-effective compared to LAB-CD4. Limitations of the analysis include the uncertainty around input parameters, which is examined in sensitivity analyses. The potential added benefits due to decreased transmission are excluded; their inclusion would likely further increase the value of POC-CD4 compared to LAB-CD4.

conclusionsPOC-CD4 at the time of HIV diagnosis could improve survival and be cost-effective compared to LAB-CD4 in Mozambique, if it improves linkage to care. POC-CD4 could have the greatest impact on mortality in settings where resources for HIV testing and linkage are most limited. Please see later in the article for the Editors' Summary.

Indexed as

AdultAgedCD4 Lymphocyte CountCost-Benefit AnalysisFemaleHealth Care CostsHealth ResourcesHIV InfectionsHumansMaleMiddle AgedMozambiquePoint-of-Care SystemsYoung Adult

Identifiers

PMID25225800
PMCPMC4165752

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.