Evidence map›Paper›PMID 21833689›Full record

ArticleAIDS and behavior2011

Medication adherence: tailoring the analysis to the data.

Parya Saberi, Mallory O Johnson, Charles E McCulloch, Eric Vittinghoff, Torsten B Neilands

Abstract read
In one paragraph

Article in AIDS and behavior, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Trial
  5. Article
  6. Article
  7. Trends in HIV Treatment Adherence Before and After HIV Status Disclosure to Adolescents in Botswana.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2020
    Article
  8. Observational
  9. Statistical considerations for medication adherence research.Current medical research and opinion · 2020
    Article
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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

5 authors.

Parya SaberiDepartment of Medicine, University of California, San Francisco, 94105, USA. parya.saberi@ucsf.edu
Mallory O Johnson
Charles E McCulloch
Eric Vittinghoff
Torsten B Neilands

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Monica Gandhi · 1988 to 2026
$93.6M
Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 2001 to 2026
$57.4M
HEALTH RELATED INTERVENTIONS FOR PERSONS LIVING WITH HIVU10MH057616 · NIMH · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI MORIN, STEPHEN F · 2001 to 2004
$2.9M
ASSESSING/DEVELOPMENT METHODS FOR COMPLEX DEPENDENT DATAR01CA082370 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NEUHAUS, JOHN M. · 2000 to 2013
$1.5M
Dyadic Processes in the Patient-Provider RelationshipK24MH087220 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSON, MALLORY O · 2009 to 2013
$771k
Quality of Sleep in HIV-Infection: associations with treatment and adherenceF32MH086323 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SABERI, PARYA · 2009 to 2011
$193k
NCI NIH HHS CA82370NCI NIH HHS R01 CA082370NIAID NIH HHS P30 AI027763NIMH NIH HHS F32 MH086323NIMH NIH HHS F32MH086323NIMH NIH HHS K24 MH087220NIMH NIH HHS K24MH087220NIMH NIH HHS P30 MH062246NIMH NIH HHS P30MH62246NIMH NIH HHS U10 MH057616NIMH NIH HHS U10MH057616
6 · The paper itself

Abstract

The purpose of this paper is to explore more comprehensive methods to analyze antiretroviral non-adherence data. Using illustrative data and simulations, we investigated the value of using binary logistic regression (LR; dichotomized at 0% non-adherence) versus a hurdle model (combination of LR plus generalized linear model for >0% non-adherence) versus a zero-inflated negative binomial (ZINB) model (simultaneously modeling 0% non-adherence and >0% non-adherence). In simulation studies, the hurdle and ZINB models had similar power but both had higher power in comparison to LR alone. The hurdle model had higher power than ZINB in settings where covariate effects were restricted to one or the other part of the model (0% non-adherence or degree of non-adherence). Use of the hurdle and ZINB models are powerful and valuable approaches in analyzing adherence data which yield a more complete picture than LR alone. We recommend adoption of this methodology for future antiretroviral adherence research.

Indexed as

Medication AdherenceModels, StatisticalStatistics as TopicAdultAgedAge FactorsAnti-Retroviral AgentsFemaleHIV InfectionsHumansMaleMiddle AgedRandomized Controlled Trials as TopicYoung AdultAnti-Retroviral Agents

Identifiers

PMID21833689
PMCPMC3216469

What OpenQuestion holds

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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.