Evidence map›Paper›PMID 29229656›Full record

ArticleBMJ open2017

Informing future research for carriage of multiresistant Gram-negative bacteria: problems with recruiting to an English stool sample community prevalence study.

Donna M Lecky, Deborah Nakiboneka-Ssenabulya, Tom Nichols, Peter Hawkey, Kim Turner, Keun-Taik Chung, Mike Thomas, Helen Lucy Thomas, Li Xu McCrae, Sahida Shabir and 4 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 79% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Carriage of ESBL-producing Enterobacterales in wastewater treatment plant workers and surrounding residents - the AWARE Study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  4. 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

14 authors at 4 institutions in 1 country.

Donna M LeckyPublic Health England, Primary Care Unit, Gloucester, UK.ORCID http://orcid.org/0000-0002-1223-9356
Deborah Nakiboneka-SsenabulyaPublic Health England, Primary Care Unit, Gloucester, UK.
Tom NicholsStatistics, Modelling and Bioinformatics Department, Public Health England, London, UK.
Peter HawkeyPublic Health Laboratory, Heart of England NHS Foundation Trust, Birmingham, UK.
Kim TurnerPublic Health England, Primary Care Unit, Gloucester, UK.
Keun-Taik ChungPublic Health Laboratory, Heart of England NHS Foundation Trust, Birmingham, UK.
Mike ThomasUniversity of Southampton Faculty of Health Sciences, Southampton, UK.
Helen Lucy ThomasTB Surveillance Unit, Public Health England, London, UK.
Li Xu McCraePublic Health Laboratory, Heart of England NHS Foundation Trust, Birmingham, UK.
Sahida ShabirPublic Health Laboratory, Heart of England NHS Foundation Trust, Birmingham, UK.
Susan ManzoorPublic Health Laboratory, Heart of England NHS Foundation Trust, Birmingham, UK.
Adela Alvarez-BuyllaPublic Health Laboratory, Heart of England NHS Foundation Trust, Birmingham, UK.
Steve SmithMidlands & NW Bowel Cancer Screening Hub, Coventry, UK.
Cliodna McNultyPublic Health England, Primary Care Unit, Gloucester, UK.
Heart of England NHS Foundation Trust · GBPublic Health England · GBBowel Cancer UK · GBUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to highlight problems with recruiting to an English stool sample community prevalence study. It was part of a larger cross-sectional research to determine the risk factors for the presence of extended-spectrum beta-lactamase and carbapenemase-producing coliforms in stool samples of the asymptomatic general English population.

settingFour National Health Service primary care trusts (PCTs) of England representing a different section of the population of England: Newham PCT; Heart of Birmingham Teaching PCT; Shropshire County PCT; and Southampton City PCT.

participantsSixteen general practices across the four PCTs were purposefully selected. After stratification of GP lists by age, ethnicity and antibiotic use, 58 337 randomly selected patients were sent a postal invitation.Patients who had died, moved to a different surgery, were deemed too ill by their General Practitioner or hospitalised at the time of mailing were excluded.

resultsStool and questionnaire returns varied by area, age, gender and ethnicity; the highest return rate of 27.3% was in Shropshire in the age group of over 60 years; the lowest, 0.6%, was in Birmingham in the age group of 18-39 years. Whereas only 3.9%(2296) returned a completed questionnaire and stool sample, 94.9% of participants gave permission for their sample and data to be used in future research.

conclusionResearchers should consider the low stool specimen return rate and wide variation by ethnicity and age when planning future studies involving stool specimen collection. This is particularly pertinent if the study has no health benefit to participants. Further research is needed to explore how to improve recruitment in multicultural communities and in younger people.

Indexed as

FecesPatient SelectionAdultCross-Sectional StudiesEnglandFemaleGeneral PracticeGram-Negative BacteriaHealth SurveysHumansMiddle AgedPostal ServiceReagent Kits, DiagnosticRefusal to ParticipateSpecimen HandlingReagent Kits, Diagnosticepidemiologymicrobiologypostal recruitmentprimary carepublic health

Identifiers

PMID29229656
PMCPMC5778273
OpenAlexW2772289320

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.