Evidence map›Paper›PMID 40459093›Full record

ArticleCurationis2025

Attitudes and readiness of nurses towards digitalisation.

Calvin Mabaso, Ramasela Mokonyama, Jeremy Mitonga-Monga

Abstract read
In one paragraph

Article in Curationis, 2025. 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

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.

Calvin MabasoDepartment of Industrial Psychology and People Management, College of Business and Economics, University of Johannesburg, Johannesburg. calvinm@uj.ac.za.
Ramasela Mokonyama
Jeremy Mitonga-Monga

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examines nurses' attitudes and readiness to integrate digital technologies, particularly electronic medical records (EMR), in a South African private hospital group. Understanding these perspectives is vital as healthcare increasingly digitises.

objectivesThe research aimed to assess the state of readiness of healthcare professionals before the implementation of an integrated EMR system within a multidisciplinary private hospital environment.

methodA qualitative exploratory design was used, with semi-structured interviews conducted with 15 participants. The data were thematically analysed, reaching saturation at 14 participants.

resultsSix key themes emerged: effective communication, implementation reasons, training support, overall employee perceptions, technology literacy and limitations of EMR. The study highlights the need for targeted interventions to bridge knowledge gaps and foster a supportive environment for digital healthcare integration.

conclusionThe shift from manual to electronic health records is crucial for improving efficiency, patient care and sustainability in healthcare. However, this transition requires careful consideration of human factors, such as behaviour, attitudes and readiness.Contribution: The study underscores the need for a strategic approach to technology adoption, emphasising the benefits of EMR implementation, tailored training and continuous communication, alongside addressing emotional support, technology literacy and network stability.

Indexed as

Attitude of Health PersonnelAttitude to ComputersDigital TechnologyNursesAdultElectronic Health RecordsFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchSouth Africadigitalisationelectronic medical recordsnurses’ attitudesperceptionsreading

Identifiers

PMID40459093
PMCPMC12135108

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.