Evidence map›Paper›PMID 28459355›Full record

ArticleThe Journal of international medical research2017

Toward a bioethical framework for antibiotic use, antimicrobial resistance and for empirically designing ethically robust strategies to protect human health: a research protocol.

Pablo Hernández-Marrero, Sandra Martins Pereira, Patrícia Joana de Sá Brandão, Joana Araújo, Ana Sofia Carvalho

Abstract read
In one paragraph

Article in The Journal of international medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Pablo Hernández-Marrero1 Instituto de Bioética, Universidade Católica Portuguesa, Porto, Portugal.
Sandra Martins Pereira1 Instituto de Bioética, Universidade Católica Portuguesa, Porto, Portugal.
Patrícia Joana de Sá Brandão1 Instituto de Bioética, Universidade Católica Portuguesa, Porto, Portugal.
Joana Araújo1 Instituto de Bioética, Universidade Católica Portuguesa, Porto, Portugal.
Ana Sofia Carvalho1 Instituto de Bioética, Universidade Católica Portuguesa, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Antimicrobial resistance (AMR) is a challenging global and public health issue, raising bioethical challenges, considerations and strategies. Objectives This research protocol presents a conceptual model leading to formulating an empirically based bioethics framework for antibiotic use, AMR and designing ethically robust strategies to protect human health. Methods Mixed methods research will be used and operationalized into five substudies. The bioethical framework will encompass and integrate two theoretical models: global bioethics and ethical decision-making. Results Being a study protocol, this article reports on planned and ongoing research. Conclusions Based on data collection, future findings and using a comprehensive, integrative, evidence-based approach, a step-by-step bioethical framework will be developed for (i) responsible use of antibiotics in healthcare and (ii) design of strategies to decrease AMR. This will entail the analysis and interpretation of approaches from several bioethical theories, including deontological and consequentialist approaches, and the implications of uncertainty to these approaches.

Indexed as

BioethicsEmpirical ResearchResearch DesignAnti-Bacterial AgentsDrug Resistance, BacterialHumansPublic HealthAnti-Bacterial AgentsAntimicrobial resistance (AMR)bioethicsdecision-making processesglobal healthhealthcarehospitalspublic health

Identifiers

PMID28459355
PMCPMC5805197

What OpenQuestion holds

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LicenceCC BY-NC
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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.