Strengthening the science of addressing antimicrobial resistance: a framework for planning, conducting and disseminating antimicrobial resistance intervention research

Rogers Van Katwyk, S; Hoffman, S J; Mendelson, M.; Taljaard, M; Grimshaw, J. M.

doi:10.1186/s12961-020-00549-1

ScienceOpen: research and publishing network

For Publishers

For Researchers

Blog
About

Search
Advanced search

views

recommends

Record: found
Abstract: found
Article: found

Is Open Access

Strengthening the science of addressing antimicrobial resistance: a framework for planning, conducting and disseminating antimicrobial resistance intervention research

review-article

Author(s): S. Rogers Van Katwyk ¹ ^, ² ^, , S. J. Hoffman ³ ^, ⁴ , M. Mendelson ⁵ , M. Taljaard ⁶ ^, ¹ , J. M. Grimshaw ⁶ ^, ⁷

Publication date (Electronic): 8 June 2020

Journal: Health Research Policy and Systems

Publisher: BioMed Central

Keywords: Antimicrobial resistance, evidence-informed policy, health policy, evaluation

Read this article at

ScienceOpen Publisher PMC

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Antimicrobial resistance (AMR) has the potential to threaten tens of millions of lives and poses major global economic and development challenges. As the AMR threat grows, it is increasingly important to strengthen the scientific evidence base on AMR policy interventions, to learn from existing policies and programmes, and to integrate scientific evidence into the global AMR response.

While rigorous evaluations of AMR policy interventions are the ideal, they are far from the current reality. To strengthen this evidence base, we describe a framework for planning, conducting and disseminating research on AMR policy interventions. The framework identifies challenges in AMR research, areas for enhanced coordination and cooperation with decision-makers, and best practices in the design of impact evaluations for AMR policies.

This framework offers a path forward, enabling increased local and global cooperation, and overcoming common limitations in existing research on AMR policy interventions.

Related collections

Most cited references 31

Record: found
Abstract: found
Article: found

Is Open Access

Interrupted time series regression for the evaluation of public health interventions: a tutorial

James Lopez Bernal, Steven Cummins, Antonio Gasparrini (2016)

Abstract Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological studies, there are a range of unique features of time series data that require additional methodological considerations. In this tutorial we use a worked example to demonstrate a robust approach to ITS analysis using segmented regression. We begin by describing the design and considering when ITS is an appropriate design choice. We then discuss the essential, yet often omitted, step of proposing the impact model a priori. Subsequently, we demonstrate the approach to statistical analysis including the main segmented regression model. Finally we describe the main methodological issues associated with ITS analysis: over-dispersion of time series data, autocorrelation, adjusting for seasonal trends and controlling for time-varying confounders, and we also outline some of the more complex design adaptations that can be used to strengthen the basic ITS design.

0 comments Cited 1120 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Consort 2010 statement: extension to cluster randomised trials.

, K. Campbell, Doug G. Altman … (2011)

0 comments Cited 273 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: found

Is Open Access

A cross-sectional study of the number and frequency of terms used to refer to knowledge translation in a body of health literature in 2006: a Tower of Babel?

K. McKibbon, Cynthia Lokker, Nancy L Wilczynski … (2010)

Background The study of implementing research findings into practice is rapidly growing and has acquired many competing names (e.g., dissemination, uptake, utilization, translation) and contributing disciplines. The use of multiple terms across disciplines pose barriers to communication and progress for applying research findings. We sought to establish an inventory of terms describing this field and how often authors use them in a collection of health literature published in 2006. Methods We refer to this field as knowledge translation (KT). Terms describing aspects of KT and their definitions were collected from literature, the internet, reports, textbooks, and contact with experts. We compiled a database of KT and other articles by reading 12 healthcare journals representing multiple disciplines. All articles published in these journals in 2006 were categorized as being KT or not. The KT articles (all KT) were further categorized, if possible, for whether they described KT projects or implementations (KT application articles), or presented the theoretical basis, models, tools, methods, or techniques of KT (KT theory articles). Accuracy was checked using duplicate reading. Custom designed software determined how often KT terms were used in the titles and abstracts of articles categorized as being KT. Results A total of 2,603 articles were assessed, and 581 were identified as KT articles. Of these, 201 described KT applications, and 153 included KT theory. Of the 100 KT terms collected, 46 were used by the authors in the titles or abstracts of articles categorized as being KT. For all 581 KT articles, eight terms or term variations used by authors were highly discriminating for separating KT and non-KT articles (p < 0.001): implementation, adoption, quality improvement, dissemination, complex intervention (with multiple endings), implementation (within three words of) research, and complex intervention. More KT terms were associated with KT application articles (n = 13) and KT theory articles (n = 18). Conclusions We collected 100 terms describing KT research. Authors used 46 of them in titles and abstracts of KT articles. Of these, approximately half discriminated between KT and non-KT articles. Thus, the need for consolidation and consistent use of fewer terms related to KT research is evident.

0 comments Cited 128 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

S. Rogers Van Katwyk: susan.vankatwyk@globalstrategylab.org

Journal

Journal ID (nlm-ta): Health Res Policy Syst

Journal ID (iso-abbrev): Health Res Policy Syst

Title: Health Research Policy and Systems

Publisher: BioMed Central (London )

ISSN (Electronic): 1478-4505

Publication date (Electronic): 8 June 2020

Publication date PMC-release: 8 June 2020

Publication date Collection: 2020

Volume: 18

Electronic Location Identifier: 60

Affiliations

[1 ]GRID grid.28046.38, ISNI 0000 0001 2182 2255, School of Epidemiology and Public Health, , University of Ottawa, ; Ottawa, ON Canada

[2 ]GRID grid.21100.32, ISNI 0000 0004 1936 9430, Global Strategy Lab, Dahdaleh Institute for Global Health Research, Faculty of Health and Osgoode Hall Law School, , York University, ; Toronto, ON Canada

[3 ]GRID grid.25073.33, ISNI 0000 0004 1936 8227, Department of Health Research Methods, Evidence, and Impact and McMaster Health Forum, , McMaster University, ; Hamilton, ON Canada

[4 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Global Health & Population, Harvard T.H. Chan School of Public Health, , Harvard University, ; Boston, MA United States of America

[5 ]GRID grid.7836.a, ISNI 0000 0004 1937 1151, Division of Infectious Diseases and HIV Medicine, Groote Schuur Hospital, , University of Cape Town, ; Cape Town, South Africa

[6 ]GRID grid.412687.e, ISNI 0000 0000 9606 5108, Clinical Epidemiology Program, , Ottawa Hospital Research Institute, ; Ottawa, ON Canada

[7 ]GRID grid.28046.38, ISNI 0000 0001 2182 2255, Department of Medicine, , University of Ottawa, ; Ottawa, ON Canada

Article

Publisher ID: 549

DOI: 10.1186/s12961-020-00549-1

PMC ID: 7278195

PubMed ID: 32513200

SO-VID: dfccf7d5-4b35-4fd5-9af0-4b71c24cb3f4

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 18 October 2019

Date accepted : 17 March 2020

Funding

Funded by: Research Council of Norway

Award ID: GLOBVAC Project #234608

Custom metadata

ScienceOpen disciplines: Health & Social care

Keywords: antimicrobial resistance,evidence-informed policy,health policy,evaluation

Data availability:

ScienceOpen disciplines: Health & Social care

Keywords: antimicrobial resistance, evidence-informed policy, health policy, evaluation

Comments

Comment on this article

scite_

Smart Citations

Citing PublicationsSupportingMentioningContrasting

View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

Cited by 25

See all cited by

Most referenced authors 2,004

See all reference authors

Strengthening the science of addressing antimicrobial resistance: a framework for planning, conducting and disseminating antimicrobial resistance intervention research

Read this article at

Abstract

Related collections

Sushruta Journal of Health Policy & Opinion

Most cited references 31

Interrupted time series regression for the evaluation of public health interventions: a tutorial

Consort 2010 statement: extension to cluster randomised trials.

A cross-sectional study of the number and frequency of terms used to refer to knowledge translation in a body of health literature in 2006: a Tower of Babel?

Author and article information

Contributors

Journal

Affiliations

Article

History

Funding

Categories

Custom metadata

Comments

Comment on this article

Similar content 32

Cited by 25

Most referenced authors 2,004