Evidence map›Paper›PMID 37218874›Full record

ArticleEpidemiologia (Basel, Switzerland)2023

Computer Skills and Electronic Health Records (EHRs) in a State Tertiary Hospital in Southwest Nigeria.

Maureen Nokuthula Sibiya, Oluwatoyin Rhoda Akinyemi, Olanrewaju Oladimeji

Abstract read
In one paragraph

Article in Epidemiologia (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Maureen Nokuthula SibiyaDivision of Research, Innovation and Engagement, Mangosuthu University of Technology, Durban 4031, South Africa.
Oluwatoyin Rhoda AkinyemiDepartment of Health Sciences, Faculty of Health Science, Durban University of Technology, Durban 4001, South Africa.
Olanrewaju OladimejiDepartment of Health Sciences, Faculty of Health Science, Durban University of Technology, Durban 4001, South Africa.ORCID 0000-0002-5356-901X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adopting change is something that is often resisted, as is often the case in the adoption of electronic health records (EHRs) in healthcare organizations. Embracing this will require computer knowledge to handle the system for the management of patients and their care. This study aims to determine the computer skills required for the uptake of electronic health records (EHR) by healthcare workers in an annex of the state teaching hospital, Okela Health Centre (OHC) Ado-Ekiti. The study uses a cross-sectional research design with a structured questionnaire distributed to 30 healthcare workers across seven disciplines working in the hospital. Descriptive statistics of frequency tables and percentages were used to ascertain the relationship between computer skill usage and the adoption of EHR. The majority of respondents were only efficient in Microsoft Word (MW), email, and WhatsApp, with efficiency rates of 63.4%, 76.6%, and 73.3%, respectively. The majority were not efficient in Microsoft Excel (ME) and Microsoft Access (MA), at 56.7% and 70%, respectively. Computer appreciation is an important basis for the adoption of EHR in hospitals.

Indexed as

adoptioncomputer skillsEHRhealthcare workershospitalICTpatient management

Identifiers

PMID37218874
PMCPMC10204356

What OpenQuestion holds

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Registered trials

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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.