Evidence map›Paper›PMID 33275506›Full record

ArticleBritish journal of community nursing2020

Implications of a US study on infection prevention and control in community settings in the UK.

Dawn Dowding, Margaret V McDonald, Jingjing Shang

Open access · greenAbstract read
In one paragraph

Article in British journal of community nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. 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

3 authors at 3 institutions in 3 countries.

Dawn DowdingDawn Dowding, Professor in Clinical Decision Making, Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester.
Margaret V McDonaldAssociate Director, Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York, US.
Jingjing ShangProfessor of Nursing, Columbia University School of Nursing, New York, US.
Columbia University · USRMIT University · AUVisiting Nurse Service of New York · US

Funding

Infection Control in Home Care and Predictive Risk ModelingR01HS024723 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHANG, JINGJING · 2016 to 2018
$1.4M
AHRQ HHS R01 HS024723
6 · The paper itself

Abstract

Healthcare-associated infections are a significant reason for readmission to hospital post-discharge to the community. In this paper, the authors describe some of the key findings from a programme of work conducted in a home care agency (community care organisation) in the US. A survey was conducted to explore home care nurses' knowledge, attitudes and beliefs around infection control (n=415); 400 nurse-patient visits were observed, and 50 nurses were interviewed about their infection control practices. Nurses reported high compliance with infection control practices. However, the overall average adherence rate to observed hand hygiene practices was 45.6%. Interview data provided valuable insights into specific challenges faced by nurses in a home care setting. This study provides insights that can be used to enhance infection control practice in community care in the UK.

Indexed as

AftercareCross InfectionNurses, Community HealthClinical CompetenceFemaleGuideline AdherenceHumansInfection ControlMaleUnited KingdomCommunity settingsHome careHygieneInfection prevention and controlSurvey

Identifiers

PMID33275506
PMCPMC8520453
OpenAlexW3109424351

What OpenQuestion holds

Textmetadata
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.