Evidence map›Paper›PMID 32517289›Full record

ArticleInternational journal of environmental research and public health2020

Effectiveness of an Evidence-Based Practice Educational Intervention among School Nurses.

Pei-Lin Hsieh, Sue-Hsien Chen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. 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

2 authors.

Pei-Lin HsiehSchool of Nursing, Chang Gung University of Science and Technology, Chang Gung Medical Foundation, Taoyuan City 33303, Taiwan.
Sue-Hsien ChenDepartment of Nursing Management, Chang Gung Medical Foundation, School of Nursing, Chang Gung University, Taoyuan City 33303, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evidence-based practice (EBP) approach to high-quality care is designed to improve patient outcomes. However, little research has been conducted to determine how EBP is adopted and implemented among school nurses in Taiwan. This study evaluated an EBP training program implemented among school nurses in Taiwan to determine whether and how effectively it improved their knowledge levels, attitudes, skills, and self-efficacy. A pretest-posttest research design was employed. Participants were recruited via convenience sampling from among 193 primary schools throughout Tao-Yuan and New Taipei City in Taiwan. The EBP program implemented both mobile learning technology and the flipped classroom format. The learning outcomes were evaluated before, immediately after, and at a 3-month follow-up. In this regard, the data were collected using the School Nurse Evidence-Based Practice Questionnaire. The results showed that the participant scores for the items of knowledge and self-efficacy significantly increased over the study period. Somewhat differently, scores for the skill items significantly increased from the pre-test to the immediate post-test, but significantly decreased from the immediate post-test to the final follow-up. Overall, however, the EBP program led to marked improvements in knowledge, skills, and self-efficacy. These findings can help guide the development of a creative evidence-based school nursing curriculum.

Indexed as

CurriculumEvidence-Based NursingEvidence-Based PracticeSchool NursingHealth Knowledge, Attitudes, PracticeHumansLearningSelf EfficacySurveys and QuestionnairesTaiwanevidence-based practiceflipped classroommobile learning technologyschool nurse

Identifiers

PMID32517289
PMCPMC7312716

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.