Evidence map›Paper›PMID 33163063›Full record

ArticleAfrican health sciences2020

Implementing electronic health system in Nigeria: perspective assessment in a specialist hospital.

Igbo Gabriel Alobo, Tolulope Soyannwo, Godwin Ukponwan, Simon Akogu, Abubakar Matthew Akpa, Kazeem Ayankola

Abstract read
In one paragraph

Article in African health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Igbo Gabriel AloboMaternal Health Department Jhpiego an affiliate of Johns Hopkins University Nigeria field office.
Tolulope SoyannwoNewborn Health Department Save the Children International Nigeria Field Office.
Godwin UkponwanDepartment of Obstetrics and gynecology Kogi State Specialist Hospital, Lokoja.
Simon AkoguDepartment of Obstetrics and gynecology Kogi State University.
Abubakar Matthew AkpaDepartment of Obstetrics and gynecology Kogi State University.
Kazeem AyankolaChild Health Department John Snow International.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerspectives on the pioneering work of Electronic Health Recording (EHR) system in Nigeria was studied.

objectivesTo determine health workers perception, challenges, motivation and satisfaction with EHR. METHODOLOGY: This was a descriptive cross sectional study using structured questionnaire to assess health workers perspective on EHR system at Kogi State Specialist Hospital.

resultsA total of 35 consenting health workers with an mean age of 39.4(± 7.6) years using EHR were assessed. The mean daily work hour was 8.0(± 2.4 hours) and median client load per participant was 20 daily. On perceptions, 74.3%, 52.9%, 45.5% and 60.0% were comfortable, well-motivated, satisfied and competent with EHR. The advantages were reduction in transcription cost (88.5%), Paper work (97.1%), administrative cost (91.4%), errors (82.9%) and it captures, provides more services including timely access and ease research in 94.3%, 74.3%, 94.3% and 82.9% respectively. Challenges were threat to patient privacy, poor internet, information overload, power outages, incomplete and inaccurate information in 17.0%, 65.7%, 31.5%, 62.9%, 37.1% and 22.9% respectively.

conclusionHealth workers were comfortable and satisfied with EHR and it eased their work.Scaling up EHR would reduce administrative cost, transcription errors and paper works to mitigate poor quality data from Nigeria a great contributor to global morbidities/mortalities.

Indexed as

Attitude to ComputersElectronic Health RecordsAdultCross-Sectional StudiesData ManagementHealth PersonnelHospitalsHumansMiddle AgedNigeriaPerceptionElectronic health recordsKogi stateNigeriaperception

Identifiers

PMID33163063
PMCPMC7609086

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.