Evidence map›Paper›PMID 34584407›Full record

ArticlePatient preference and adherence2021

Relational Dynamics of Treatment Behavior Among Individuals with Tuberculosis in High-Income Countries: A Scoping Review.

Stella Arakelyan, Aaron S Karat, Annie S K Jones, Nicole Vidal, Helen R Stagg, Marcia Darvell, Robert Horne, Marc C I Lipman, Karina Kielmann

Open access · goldAbstract readScoping Review
In one paragraph

Article in Patient preference and adherence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. 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 1 country.

Stella ArakelyanInstitute for Global Health and Development, Queen Margaret University, Edinburgh, UK.ORCID 0000-0003-0326-707X
Aaron S KaratInstitute for Global Health and Development, Queen Margaret University, Edinburgh, UK.ORCID 0000-0001-9643-664X
Annie S K JonesCentre for Behavioural Medicine, Research Department of Practice and Policy, UCL School of Pharmacy, London, UK.ORCID 0000-0001-7868-2804
Nicole VidalInstitute for Global Health and Development, Queen Margaret University, Edinburgh, UK.
Helen R StaggUsher Institute, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-4022-3447
Marcia DarvellUCL Respiratory, Division of Medicine, University College London, London, UK.
Robert HorneCentre for Behavioural Medicine, Research Department of Practice and Policy, UCL School of Pharmacy, London, UK.ORCID 0000-0002-3068-8438
Marc C I Lipman *UCL Respiratory, Division of Medicine, University College London, London, UK.ORCID 0000-0001-7501-4448
Karina Kielmann *Institute for Global Health and Development, Queen Margaret University, Edinburgh, UK.ORCID 0000-0001-5519-1658
Queen Margaret University · GBUniversity College London · GBRoyal Free London NHS Foundation Trust · GBUniversity of Edinburgh · GB

Funding

Medical Research Council MR/R008345/1
6 · The paper itself

Abstract

Although tuberculosis (TB) incidence has significantly declined in high-income, low-incidence (HILI) countries, challenges remain in managing TB in vulnerable populations who may struggle to stay on anti-TB treatment (ATT). Factors associated with non-adherence to ATT are well documented; however, adherence is often narrowly conceived as a fixed binary variable that places emphasis on individual agency and the act of taking medicines, rather than on the demands of being on treatment more broadly. Further, the mechanisms through which documented factors act upon the experience of being on treatment are poorly understood. Adopting a relational approach that emphasizes the embeddedness of individuals within dynamic social, structural, and health systems contexts, this scoping review aims to synthesize qualitative evidence on experiences of being on ATT and mechanisms through which socio-ecological factors influence adherence in HILI countries. Six electronic databases were searched for peer-reviewed literature published in English between January 1990 and May 2020. Additional studies were obtained by searching references of included studies. Narrative synthesis was used to analyze qualitative data extracted from included studies. Of 28 included studies, the majority (86%) reported on health systems factors, followed by personal characteristics (82%), structural influences (61%), social factors (57%), and treatment-related factors (50%). Included studies highlighted three points that underpin a relational approach to ATT behavior: 1) individual motivation and capacity to take ATT is dynamic and intertwined with, rather than separate from, social, health systems, and structural factors; 2) individuals' pre-existing experiences of health-seeking influence their views on treatment and their ability to commit to long-term regular medicine-taking; and 3) social, cultural, and political contexts play an important role in mediating how specific factors work to support or hinder ATT adherence behavior in different settings. Based on our analysis, we suggest that person-centered clinical management of tuberculosis should 1) acknowledge the ways in which ATT both disrupts and is managed within the everyday lives of individuals with TB; 2) appreciate that individuals' circumstances and the support and resources they can access may change over the course of treatment; and 3) display sensitivity towards context-specific social and cultural norms affecting individual and collective experiences of being on ATT.

Indexed as

adherencelow incidencepatient-centered carequalitative researchsocio-ecologicaltuberculosis

Identifiers

PMID34584407
PMCPMC8464367
OpenAlexW3194922654

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.