Evidence map›Paper›PMID 39315357›Full record

ArticleWellcome open research2024

Power Relations in Optimisation of Therapies and Equity in Access to Antibiotics (PROTEA) Study: investigating the intersection of socio-economic and cultural drivers on antimicrobial resistance (AMR) and its influence on healthcare access and health-providing behaviours in India and South Africa.

Esmita Charani, Sipho Dlamini, Anastasia Koch, Sanjeev Singh, Rebecca Hodes, Ramanan Laxminarayan, Deepshikha Batheja, Elelwani Ramugondo, Arunima Sehgal Mukherjee, Marc Mendelson

Abstract read
In one paragraph

Article in Wellcome open research, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  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

10 authors.

Esmita CharaniDivision of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, Western Cape, 7925, South Africa.ORCID https://orcid.org/0000-0002-5938-1202
Sipho DlaminiDivision of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, Western Cape, 7925, South Africa.
Anastasia KochIsivivana Centre, Eh!Woza, Khayelitsha, Cape Town, South Africa.
Sanjeev SinghDepartment of Health Sciences Research, Amrita Institute of Medical Sciences, Kochi, Kerala, India.
Rebecca HodesDepartment of Anthropology, Archaeology and Development Studies, University of Pretoria, Pretoria, South Africa.
Ramanan LaxminarayanOne Health Trust, Bangalore, India.
Deepshikha BathejaOne Health Trust, Bangalore, India.
Elelwani RamugondoDepartment of Rehabilitation Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.
Arunima Sehgal MukherjeeSociety for Health information Systems Programme (HISP), New Delhi, India.
Marc MendelsonDivision of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, Western Cape, 7925, South Africa.ORCID https://orcid.org/0000-0001-6668-3893

Funding

Wellcome Trust
6 · The paper itself

Abstract

Across social structures within society, including healthcare, power relations manifest according to gender, socioeconomic status, race, ethnicity, and class influencing infection related healthcare access and health providing-behaviours. Therefore, accounting for sociocultural drivers, including gender, race, and class, and their influence on economic status can improve healthcare access and health-providing behaviours in infection prevention and control (IPC) as well as antibiotic use, which in turn helps mitigate the spread of antimicrobial resistance (AMR). This Wellcome funded research will investigate how and why the social determinants of health and economic status influence how people seek, experience, and provide healthcare for suspected or proven (bacterial) infections and how these factors influence antibiotic prescribing and use in South Africa (upper middle-income country) and India (lower middle-income country). The aim of this body of work is to, (1) define and estimate the sociocultural and economic drivers for AMR in different resource settings, (2) design, implement and evaluate context-sensitive IPC and antimicrobial stewardship (AMS) interventions, and (3) inform policy and strategy for AMR mitigation. The population will be healthcare workers (HCWs), patients, and their carers across acute medical and surgical pathways where IPC and antibiotic-related healthcare access and health-providing behaviours will be studied. Qualitative methods will include ethnographic research, semi-structured in-depth interviews, and focus groups with healthcare providers, patients and carers. Quantitative analysis of bedside observational data from hospitals and population level data on antibiotic use will study the various predictors of AMR using bivariable and multivariable regression analyses. The research will provide high-quality evidence on how social determinants intersect with health, social well-being, and vulnerability in IPC practices and antibiotic use. Using this knowledge we will: 1) design, implement, and measure effects of interventions accounting for these factors; 2) provide a toolkit for advocacy for actors in AMR, and healthcare to assist them to promote dialogue, including policy dialogue on this issue. This work directly benefits the target population and informs healthcare services and practice across the participating countries with potential for wider translation. The setting will be hospitals in South Africa (middle-income country) and India (lower middle-income country). The population will be healthcare workers (HCWs), patients, and their carers across acute medical and surgical pathways where IPC and antibiotic-related health-seeking and health-providing behaviours will be studied. These populations represent communities most affected by infections and AMR because existing interventions do not address a) differences in how surgical versus medical teams manage infections; b) the role of the wider social network of individuals on their decision-making, c) intersection of the social determinants of health including race, gender, socioeconomic deprivation with AMR.

Indexed as

Antimicrobial ResistanceEthnicityGenderInfectionIntersectionalityRace

Identifiers

PMID39315357
PMCPMC11417457

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.