Evidence map›Paper›PMID 27509182›Full record

ArticlePloS one2016

Facility-Level Factors Influencing Retention of Patients in HIV Care in East Africa.

Beth Rachlis, Giorgos Bakoyannis, Philippa Easterbrook, Becky Genberg, Ronald Scott Braithwaite, Craig R Cohen, Elizabeth A Bukusi, Andrew Kambugu, Mwebesa Bosco Bwana, Geoffrey R Somi and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% of its field
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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  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

15 authors at 10 institutions in 4 countries.

Beth RachlisThe Ontario HIV Treatment Network, Toronto, Canada.
Giorgos BakoyannisDepartment of Biostatistics, Richard Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, United States of America.
Philippa EasterbrookInfectious Diseases Institute, Kampala, Uganda.
Becky GenbergDepartment of Health Services, Brown University, Providence, Rhode Island, United States of America.
Ronald Scott BraithwaiteDepartment of Population Health, School of Medicine, New York University, New York, New York, United States of America.
Craig R CohenDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, California, United States of America.
Elizabeth A BukusiCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.
Andrew KambuguInfectious Diseases Institute, Kampala, Uganda.
Mwebesa Bosco BwanaDepartment of Internal Medicine, Mbarara University of Science & Technology, Mbarara, Uganda.
Geoffrey R SomiNational AIDS Control Programme, Dar es Salaam, Tanzania.
Elvin H GengDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.
Beverly MusickDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
Constantin T YiannoutsosDepartment of Biostatistics, Richard Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, United States of America.
Kara Wools-KaloustianDivision of Infectious Diseases, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
Paula BraitsteinAcademic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya.
Indiana University – Purdue University Indianapolis · USInfectious Diseases Institute · UGUniversity of California, San Francisco · USBrown University · USIndiana University School of MedicineKenya Medical Research Institute · KEMbarara University of Science and Technology · UGMoi University · KENew York University · USOntario HIV Treatment Network · CA

Funding

East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional ConsortiumU01AI069911 · NIAID · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI AGGREY SEMWENDERO SEMEERE, Kara Kay Wools-Kaloustian · 2006 to 2026
$57.7M
Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Sheri Ann Lippman · 2001 to 2026
$57.4M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Linkage to Care Following Home-Based Counseling and Testing in Western KenyaK01MH099966 · NIMH · JOHNS HOPKINS UNIVERSITY · PI GENBERG, BECKY LYNN · 2013 to 2017
$826k
NCATS NIH HHS UL1 TR001108NIAID NIH HHS U01 AI069911NIMH NIH HHS K01 MH099966NIMH NIH HHS P30 MH062246
6 · The paper itself

Abstract

Losses to follow-up (LTFU) remain an important programmatic challenge. While numerous patient-level factors have been associated with LTFU, less is known about facility-level factors. Data from the East African International epidemiologic Databases to Evaluate AIDS (EA-IeDEA) Consortium was used to identify facility-level factors associated with LTFU in Kenya, Tanzania and Uganda. Patients were defined as LTFU if they had no visit within 12 months of the study endpoint for pre-ART patients or 6 months for patients on ART. Adjusting for patient factors, shared frailty proportional hazard models were used to identify the facility-level factors associated with LTFU for the pre- and post-ART periods. Data from 77,362 patients and 29 facilities were analyzed. Median age at enrolment was 36.0 years (Interquartile Range: 30.1, 43.1), 63.9% were women and 58.3% initiated ART. Rates (95% Confidence Interval) of LTFU were 25.1 (24.7-25.6) and 16.7 (16.3-17.2) per 100 person-years in the pre-ART and post-ART periods, respectively. Facility-level factors associated with increased LTFU included secondary-level care, HIV RNA PCR turnaround time >14 days, and no onsite availability of CD4 testing. Increased LTFU was also observed when no nutritional supplements were provided (pre-ART only), when TB patients were treated within the HIV program (pre-ART only), and when the facility was open ≤4 mornings per week (ART only). Our findings suggest that facility-based strategies such as point of care laboratory testing and separate clinic spaces for TB patients may improve retention.

Indexed as

AdultAnti-HIV AgentsCD4 Lymphocyte CountDatabases, FactualDelivery of Health CareFemaleHealth FacilitiesHIVHIV InfectionsHumansKaplan-Meier EstimateKenyaLost to Follow-UpMaleProportional Hazards ModelsReverse Transcriptase Polymerase Chain ReactionAnti-HIV AgentsRNA, Viral

Identifiers

PMID27509182
PMCPMC4980048
OpenAlexW2482908489

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.