Evidence map›Paper›PMID 33531023›Full record

ArticleBMC medical informatics and decision making2021

Designing a national model for assessment of nursing informatics competency.

Mehrdad Farzandipour, Hashem Mohamadian, Hossein Akbari, Samira Safari, Reihane Sharif

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2021. 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
8.9field-weighted citation impact, top 2% 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, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors at 2 institutions in 2 countries.

Mehrdad FarzandipourHealth Information Management Research Center, Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Pezeshk Blvd, 5th of Qotbe Ravandi Blvd - Pardis Daneshgah, Kashan, Islamic Republic of Iran.
Hashem MohamadianResearch Centre for Health-Related Social Determinates, Department of Health Education and Promotion, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Islamic Republic of Iran.
Hossein AkbariDepartment of Biostatistics and Epidemiology, School of Health, Kashan University of Medical Sciences, Kashan, Islamic Republic of Iran.
Samira SafariHealth Information Management Research Center, Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Pezeshk Blvd, 5th of Qotbe Ravandi Blvd - Pardis Daneshgah, Kashan, Islamic Republic of Iran.
Reihane SharifHealth Information Management Research Center, Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Pezeshk Blvd, 5th of Qotbe Ravandi Blvd - Pardis Daneshgah, Kashan, Islamic Republic of Iran. Fr.sharif@yahoo.com.ORCID 0000-0002-2081-5093
Kashan University of Medical Sciences · IRAhvaz Jundishapur University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the need for informatics competencies in the field of nursing, the present study was conducted to design a psychometric instrument to determine the qualification of informatics competencies of employed nurses in educational care centers.

methodsThe questionnaire was made by reviewing existing scientific resources and assessment tools. Two hundred nurses were selected using simple random sampling. Structural equation modeling was used using the measurement model technique and the average variance was calculated. Linear structural relations (LISREL) software was used to test the assumptions and correlations of the model.

resultsFindings showed relatively good estimation in the fit of first-order measurement model. The informatics knowledge subscale with a determining rate of 0.90 had the greatest explanatory effect among the subscales and informatics skill with a determining rate of 0.67 and basic computer skill with a determining rate of 0.60 were observed. The second-order measurement model of fitness indicators showed that the three factors can well explain the multidimensional construct of informatics competency.

conclusionsThe designed tool can be used to develop educational strategies in relation to nursing students in the field of informatics and prepare them in the rich environment of information technology, which can be helpful in training nursing instructors.

Indexed as

Nursing InformaticsStudents, NursingHumansPsychometricsSurveys and QuestionnairesAssessmentAverage variance extractedComposite reliabilityConfirmatory factor analysisNursing informatics competency

Identifiers

PMID33531023
PMCPMC7852364
OpenAlexW3128616534

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.