Evidence map›Paper›PMID 38925700›Full record

ArticleBMJ open2024

Assessing digital health knowledge, attitudes and practices among nurses in Naples: a survey study protocol.

Assunta Guillari, Vincenza Sansone, Vincenza Giordano, Maria Catone, Teresa Rea

Abstract read
In one paragraph

Article in BMJ open, 2024. 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.

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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

5 authors.

Assunta GuillariPublic Health Department, Federico II University Hospital, Napoli, Campania, Italy.
Vincenza Sansone *Department of Experimental Medicine, University of Campania Luigi Vanvitelli School of Medicine and Surgery, Napoli, Campania, Italy.
Vincenza GiordanoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Roma, Italy vincenza.giordano@alumni.uniroma2.eu.ORCID 0009-0001-7625-5240
Maria Catone *Public Health Department, Federico II University Hospital, Napoli, Campania, Italy.
Teresa ReaPublic Health Department, Federico II University Hospital, Napoli, Campania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital competencies are essential for nurses to actively participate in the digitisation of healthcare systems. Therefore, it is important to assess their skill levels to identify strengths and areas for improvement. METHOD AND ANALYSIS: This study aims to investigate nurses' knowledge, attitudes, behaviours, subjective norms and behavioural control regarding digital health. A knowledge-attitude-practice model guided the development of a structured questionnaire divided into six sections. A sample of 480 registered nurses of Naples will be involved in the study. After conducting a pretest, an invitation will be publicised through the institutional communication channels of Nurses Provincial Order of Naples. Nurses will respond via a unique link or quick response code sent through a PEC email system (a legally valid email system, which guarantees delivery and receipt). They will have 30 days to complete the survey, scheduled between ETHICS AND DISSEMINATION: No ethics committee approval was required, as the study does not involve minors, direct or indirect physical or physiological harm to participants, or clinical trials. Anonymity will be guaranteed at all data collection and processing levels. The results will be broadly distributed through conference presentations and peer-reviewed publications. The effective use of digital technologies by healthcare professionals can bring significant improvements to healthcare services and help improve the health of individuals and community health. The study's findings will serve as a foundation for developing and implementing educational programmes related to eHealth and telemedicine, promoting the harmonisation of such programmes.

Indexed as

Health Knowledge, Attitudes, PracticeAttitude of Health PersonnelDigital HealthHumansItalyNursesResearch DesignSurveys and QuestionnairesTelemedicineArtificial IntelligenceBehavioreHealthNursesSocial MediaTelemedicine

Identifiers

PMID38925700
PMCPMC11208876

What OpenQuestion holds

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LicenceCC BY-NC
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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.