Evidence map›Paper›PMID 38118014›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

Recording and Reporting of Antimicrobial Resistance (AMR) Priority Variables and Its Implication on Expanding Surveillance Sites in Nepal: A CAPTURA Experience.

Sanju Maharjan, Patrick Gallagher, Manish Gautam, Hea Sun Joh, Mohammad Julhas Sujan, Ahmed Taha Aboushady, Soo Young Kwon, Sanjay Gautam, Madan Kumar Upadhyaya, Runa Jha and 5 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Key Recommendations for Antimicrobial Resistance Surveillance: Takeaways From the CAPTURA Project.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    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

15 authors.

Sanju MaharjanPublic Health Research, Anweshan Private Limited, Lalitpur, Nepal.ORCID 0009-0003-1761-7832
Patrick GallagherPublic Health Surveillance Group, LLC, Princeton, New Jersey, USA.
Manish GautamPublic Health Research, Anweshan Private Limited, Lalitpur, Nepal.
Hea Sun JohInternational Vaccine Institute, Seoul, Republic of Korea.
Mohammad Julhas SujanInternational Vaccine Institute, Seoul, Republic of Korea.
Ahmed Taha AboushadyInternational Vaccine Institute, Seoul, Republic of Korea.
Soo Young KwonInternational Vaccine Institute, Seoul, Republic of Korea.
Sanjay GautamInternational Vaccine Institute, Seoul, Republic of Korea.
Madan Kumar UpadhyayaMinistry of Health and Population, Government of Nepal, Kathmandu, Nepal.
Runa JhaNational Public Health Laboratory, Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
Jyoti AcharyaNational Public Health Laboratory, Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
William R MacWrightPublic Health Surveillance Group, LLC, Princeton, New Jersey, USA.
Florian MarksInternational Vaccine Institute, Seoul, Republic of Korea.
John StellingBrigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Nimesh PoudyalInternational Vaccine Institute, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data on antimicrobial resistance (AMR) from sites not participating in the National AMR surveillance network, conducted by National Public Health Laboratory (NPHL), remain largely unknown in Nepal. The "Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia" (CAPTURA) assessed AMR data from previously untapped data sources in Nepal. A retrospective cross-sectional data review was carried out for the AMR data recorded between January 2017 and December 2019 to analyze AMR data from 26 hospital-based laboratories and 2 diagnostic laboratories in Nepal. Of the 56 health facilities initially contacted to participate in this project activity, 50.0% (28/56) signed a data-sharing agreement with CAPTURA. Eleven of the 28 hospitals were AMR surveillance sites, whereas the other 17, although not part of the National AMR surveillance network, recorded AMR-related data. Data for 663 602 isolates obtained from 580 038 patients were analyzed. A complete record of the 11 CAPTURA priority variables was obtained from 45.5% (5/11) of government hospitals, 63.6% (7/11) of private hospitals, and 54.6% (6/11) of public-private hospitals networked with NPHL for AMR surveillance. Similarly, 80% (8/10) of clinics and 54.6% (6/11) of laboratories outside the NPHL network recorded complete data for the 10 Global Antimicrobial Resistance and Use Surveillance System (GLASS) priority variables and 11/14 CAPTURA priority variables. Retrospective review of the data identified areas requiring additional resources and interventions to improve the quality of data on AMR in Nepal. Furthermore, we observed no difference in the priority variables reported by sites within or outside the NPHL network, thus suggesting that policies could be made to expand the surveillance system to include these sites without substantially affecting the government's budget.

Indexed as

Anti-Bacterial AgentsLaboratories, HospitalCross-Sectional StudiesDrug Resistance, BacterialHumansNepalRetrospective StudiesAnti-Bacterial Agentsantimicrobial resistanceNepalnetworkNPHL

Identifiers

PMID38118014
PMCPMC10732557

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