Evidence map›Paper›PMID 25957164›Full record

ArticleJournal of medical systems2015

Validation of a nurses' views on electronic medical record systems (EMR) questionnaire in Turkish health system.

Mehmet Top, Ali Yilmaz, Erdem Karabulut, Ochieng George Otieno, Melahat Saylam, Sevgi Bakır, Sümbül Top

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2015. 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
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023
    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

7 authors at 4 institutions in 2 countries.

Mehmet TopFaculty of Economics and Administrative Sciences, Department of Health Care Management, Hacettepe University, Ankara, Turkey, mtop@hacettepe.edu.tr.
Ali Yilmaz
Erdem Karabulut
Ochieng George Otieno
Melahat Saylam
Sevgi Bakır
Sümbül Top
Hacettepe University · TRKenyatta University · KEKırıkkale University · TRSüleyman Demirel University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using of EMR in health services and organizations is steadily increasing for quality improvement, cost effectiveness and performance development. However, no validated national and international instruments (scale, questionnaire, index, and inventory) have assessed the effectiveness, satisfaction, health care savings, patient safety and cost minimization of electronic medical and health systems from the viewpoint and perceptions of nurses in Turkish health services. The perceptions of health care professionals especially physicians and nurses can contribute important information that may predict their acceptance of EMR and desired mode of use for EMR, evaluation performance of EMR thus guiding EMR implementation in hospitals. This article is a report of validation of the instrument to measure nurses' views on the use, quality and user satisfaction with EMR in Turkish health system. Items in the questionnaire were designed and obtained following O.G. Otieno, H. Toyama, M. Asonuma, M. Kanai-Pak, K. Naitoh's questionnaire about Use, Quality and User Satisfaction with EMR systems. Reliability and validity were examined and investigated in terms of responses from 487 nurses from one education hospital in Ankara, Turkey. This study was planned and conducted at a university hospital. The validation process was based on construct validity in this study. The response rate was 74.92%. Cronbach's alphas of three factors (use, quality and satisfaction of EMR) ranged from 0.78 to 0.94. Goodness-of-fit indices from the confirmatory factor analysis showed a reasonable model fit. Results of confirmatory factor analysis showed that χ2 statistic indicated significant result (p < 0.001) and model fit was acceptable according to relative χ2 statistic (χ2/df = 2.8 < 5). Further validation of the instrument could yield positive results in health systems in the different countries. Also further validation and reliability studies could be planned on physicians and other health professionals.

Indexed as

Attitude of Health PersonnelAdultAttitude to ComputersData Interpretation, StatisticalElectronic Health RecordsFemaleHospitals, UniversityHumansMedical InformaticsNursing Staff, HospitalPsychometricsReproducibility of ResultsSurveys and QuestionnairesTurkeyYoung Adult

Identifiers

PMID25957164
OpenAlexW241645628

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.