Evidence map›Paper›PMID 33218395›Full record

ReviewTaiwanese journal of obstetrics & gynecology2020

The influences of the COVID-19 pandemic on medical service behaviors.

Wen-Han Chang

Abstract readReview
In one paragraph

Review in Taiwanese journal of obstetrics & gynecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. Observational
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  11. Review
  12. Collaborative Reverse Logistics Network for Infectious Medical Waste Management during the COVID-19 Outbreak.International journal of environmental research and public health · 2022
    Article
  13. Building Process-Oriented Data Science Solutions for Real-World Healthcare.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. 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

1 author.

Wen-Han ChangDepartment of Medicine, Mackay Medical College, New Taipei, Taiwan; Department of Emergency Medicine, Mackay Memorial Hospital, Taipei, Taiwan; Mackay Medicine, Nursing and Management College, Taipei, Taiwan; Institute of Mechatronic Engineering, National Taipei University of Technology, Taipei, Taiwan; Graduate Institute of Injury Prevention and Control, College of Public Health and Nutrition, Taipei Medical University, Taipei, Taiwan; Department of Emergency, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan. Electronic address: branden888@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of the novel coronavirus (COVID-19) has greatly impacted medical services worldwide. In addition to changing the processes used by hospital medical services, it has also changed the behaviors of medical staff, resulting in a completely different appearance. Fear of being infected with COVID-19 makes patients fear entering hospitals, and hospitals must repeatedly screen patients prior to entry in order to confirm that they are not infected. Patients are then separated according to their symptoms and travel, occupation, contact and cluster histories (TOCC), which seriously affects them. In addition, hospitals have invested a lot of money into the whole visiting process and into the equipment required to prevent the spread or lessen the impact of COVID-19.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralBetacoronavirusCOVID-19Delivery of Health CareFearFemaleHealth PersonnelHumansMaleOccupational StressOrganizational CultureProfessional-Patient RelationsSARS-CoV-2WorkBehaviorsCOVID-19PandemicPost-traumatic stress diseaseTOCC

Identifiers

PMID33218395
PMCPMC7486071

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.