Evidence map›Paper›PMID 24229315›Full record

ArticleBMC medical research methodology2013

How experiences become data: the process of eliciting adverse event, medical history and concomitant medication reports in antimalarial and antiretroviral interaction trials.

Elizabeth N Allen, Adiel K Mushi, Isolide S Massawe, Lasse S Vestergaard, Martha Lemnge, Sarah G Staedke, Ushma Mehta, Karen I Barnes, Clare I R Chandler

Open access · goldAbstract read
In one paragraph

Article in BMC medical research methodology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Eliciting adverse effects data from participants in clinical trials.The Cochrane database of systematic reviews · 2018
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Discordance between patient and clinician reports of adverse reactions to MDR-TB treatment.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2016
    Article
  10. Bloodstream Infections and Frequency of Pretreatment Associated With Age and Hospitalization Status in Sub-Saharan Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    Article
  11. 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

9 authors at 4 institutions in 4 countries.

Elizabeth N AllenDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa. elizabeth.allen@uct.ac.za.
Adiel K Mushi
Isolide S Massawe
Lasse S Vestergaard
Martha Lemnge
Sarah G Staedke
Ushma Mehta
Karen I Barnes
Clare I R Chandler
National Institute for Medical Research · TZUniversity of Cape Town · ZALondon School of Hygiene & Tropical Medicine · GBCopenhagen University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurately characterizing a drug's safety profile is essential. Trial harm and tolerability assessments rely, in part, on participants' reports of medical histories, adverse events (AEs), and concomitant medications. Optimal methods for questioning participants are unclear, but different methods giving different results can undermine meta-analyses. This study compared methods for eliciting such data and explored reasons for dissimilar participant responses.

methodsParticipants from open-label antimalarial and antiretroviral interaction trials in two distinct sites (South Africa, n = 18 [all HIV positive]; Tanzania, n = 80 [86% HIV positive]) were asked about ill health and treatment use by sequential use of (1) general enquiries without reference to particular conditions, body systems or treatments, (2) checklists of potential health issues and treatments, (3) in-depth interviews. Participants' experiences of illness and treatment and their reporting behaviour were explored qualitatively, as were trial clinicians' experiences with obtaining participant reports. Outcomes were the number and nature of data by questioning method, themes from qualitative analyses and a theoretical interpretation of participants' experiences.

resultsThere was an overall cumulative increase in the number of reports from general enquiry through checklists to in-depth interview; in South Africa, an additional 12 medical histories, 21 AEs and 27 medications; in Tanzania an additional 260 medical histories, 1 AE and 11 medications. Checklists and interviews facilitated recognition of health issues and treatments, and consideration of what to report. Information was sometimes not reported because participants forgot, it was considered irrelevant or insignificant, or they feared reporting. Some medicine names were not known and answers to questions were considered inferior to blood tests for detecting ill health. South African inpatient volunteers exhibited a "trial citizenship", working to achieve researchers' goals, while Tanzanian outpatients sometimes deferred responsibility for identifying items to report to trial clinicians.

conclusionsQuestioning methods and trial contexts influence the detection of adverse events, medical histories and concomitant medications. There should be further methodological work to investigate these influences and find appropriate questioning methods.

Indexed as

AdultAnti-HIV AgentsAntimalarialsArtemether, Lumefantrine Drug CombinationArtemisininsClinical Trials as TopicDrug CombinationsDrug InteractionsEthanolaminesFemaleFluorenesFocus GroupsHIV InfectionsHumansInterviews as TopicMalariaAnti-HIV AgentsAntimalarialsArtemether, Lumefantrine Drug CombinationArtemisininsDrug CombinationsEthanolaminesFluorenes

Identifiers

PMID24229315
PMCPMC3832682
OpenAlexW2150666797

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.