Evidence map›Paper›PMID 31318134›Full record

ArticleNursing in critical care2020

What influences nurses' decision to mobilise the critically ill patient?

Tara Chaplin, John McLuskey

Abstract read
PubMed Publisher
In one paragraph

Article in Nursing in critical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Tara ChaplinCritical Care Unit, Kings Mill Hospital, Nottingham, UK.ORCID 0000-0002-7764-2592
John McLuskeySchool of Health Sciences, University of Nottingham, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the known benefits of mobilising critically ill patients, bed rest is still a common practice in intensive care units. The reasons for this are not fully understood. Early mobilisation can reduce the length of stay in the intensive care unit and in hospitals as well. However, the decision to mobilise a patient can be delayed while health professionals decide whose role it is to implement it. AIM AND

objectivesThe aim of this study was to explore the ways in which nurses make decisions to mobilise critically ill patients and what factors influence the decision-making process. STUDY DESIGN AND

methodThis was a qualitative study involving semi-structured interviews with 12 critical care nurses at a large urban district hospital. Interpretative phenomenological analysis was used to analyse verbatim transcripts of the interviews.

resultsThe findings demonstrated inconsistencies in the nurses' knowledge of the benefits to mobilising patients and that mobilisation was deemed to be a low priority. Decision-making was influenced by time constraints, staffing levels, and unit demands. A lack of communication and collaborative working was identified, along with uncertainty and role ambiguity, with regard to who decides to mobilise a patient. Mobilisation was found to be complicated by existing cultural influences and by previous experiences of complex mobilisation.

conclusionRe-education strategies are needed to re-enforce the benefits of mobilisation, along with multidisciplinary training sessions to clarify roles and overcome collaborative working issues. RELEVANCE TO CLINICAL PRACTICE: This study has provided a greater understanding of the influencing factors on nurses' decision-making with regard to mobilising critical ill patients.

Indexed as

Critical Care NursingDecision MakingWorkloadCommunicationCritical IllnessEarly AmbulationFemaleHumansIntensive Care UnitsMaleMiddle Agedcritical carecritically illmobilisationnurses' experiences

Identifiers

PMID31318134

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.