Evidence map›Paper›PMID 35373425›Full record

ArticleInternational journal of nursing practice2023

Adaption of the Cancer Information Overload Scale for pandemics and assessment of infodemic levels among nurses and midwives.

Ritin Fernandez, Heidi Green, Cassandra Hobbs, Clare Loveday, Elham Almasi, Rebekkah Middleton, Elizabeth J Halcomb, Lorna Moxham

Open access · bronzeAbstract read
In one paragraph

Article in International journal of nursing practice, 2023. 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
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 3 institutions in 2 countries.

Ritin FernandezCentre for Research in Nursing and Health, St George Hospital, Kogarah, New South Wales.ORCID https://orcid.org/0000-0002-6143-7703
Heidi GreenCentre for Research in Nursing and Health, St George Hospital, Kogarah, New South Wales.ORCID https://orcid.org/0000-0002-7908-3819
Cassandra HobbsSt George Hospital, Kogarah, New South Wales, Australia.
Clare LovedaySt George Hospital, Kogarah, New South Wales, Australia.
Elham AlmasiSutherland Hospital, Caringbah, New South Wales, Australia.
Rebekkah MiddletonSchool of Nursing, University of Wollongong, Wollongong, New South Wales.ORCID https://orcid.org/0000-0002-8440-7451
Elizabeth J HalcombSchool of Nursing, University of Wollongong, Wollongong, New South Wales.
Lorna MoxhamSchool of Nursing, University of Wollongong, Wollongong, New South Wales.ORCID https://orcid.org/0000-0002-4127-6383
University of Wollongong · AUSt George Hospital · AUSutherland Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study was conducted in three phases. Phase 1 aimed to adapt the Cancer Information Overload Scale and conduct content validity testing. Phase 2 aimed to conduct factorial validity testing of the scale. Phase 3 aimed to assess information overload and the sources of information used by nurses and midwives to keep up-to-date about COVID-19.

designA cross-sectional survey of nurses and midwives working in a metropolitan Local Health District in Sydney, Australia, was conducted from May to June 2020.

methodsAdaptation of the Cancer Information Overload Scale and content validity of the modified scale (as the Pandemic Information Overload Scale) was undertaken by an expert panel comprising of senior nurses and researchers. Factorial validity and reliability of the Pandemic Information Overload Scale were evaluated using exploratory factor analyses using one subsample of the data. Using the second subsample of the data, information overload and sources of information used by nurses and midwives to keep up-to-date about COVID-19 were examined.

resultsThe Pandemic Information Overload Scale is a reliable and valid instrument for measuring information overload among nurses during a pandemic. Its internal consistency was high (α = 0.81, M = 3.84).

conclusionThe 8-item PIO scale is a brief, reliable and psychometrically sound instrument for measuring nurses' and midwives' perceptions of information overload during COVID-19. Mean scores across this study indicated that participants were experiencing above average information overload. Implementing strategies to reduce this overload would optimize clinical decision making and promote patient safety.

Indexed as

COVID-19MidwiferyNeoplasmsNursesCross-Sectional StudiesFemaleHumansInfodemicPandemicsPregnancyPsychometricsReproducibility of ResultsSurveys and QuestionnairesCOVID-19factor analysisinformation overloadinstrument developmentnursingpandemic

Identifiers

PMID35373425
PMCPMC10078180
OpenAlexW4225543067

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.