Evidence map›Paper›PMID 37901407›Full record

ArticleFrontiers in medicine2023

Analysis of patients' privacy and associated factors in the perioperative period.

Mingyang Tan, Hongyu Li, Xiaofei Wang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Mingyang TanDepartment of Nursing, Jinzhou Medical University, Jinzhou, China.
Hongyu LiInstitute of Medical Education, Jinzhou Medical University, Jinzhou, China.
Xiaofei WangInstitute of Medical Education, Jinzhou Medical University, Jinzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Healthcare professionals recognize how to protect patient privacy in order to effectively reduce the occurrence of conflict between the two parties. Therefore, understanding the protection of patient privacy during the perioperative period and the relevant factors affecting privacy is essential to improving healthcare delivery. Methods: This was a cross-sectional survey of a convenience sample of 400 perioperative patients. General demographic information, the perioperative privacy scale (PPS), and the Amsterdam preoperative anxiety and information scale (APAIS) were used for the survey. And factors affecting patient privacy were investigated by ANOVA or t-test analysis, Pearson correlation analysis, and linear regression models. Results: This study found that perioperative patient privacy satisfaction scores were (53.51 ± 12.54). The results of the univariate analysis showed that factors affecting privacy satisfaction included gender, age, and the number of surgeries ( Conclusion: Healthcare professionals working in healthcare facilities need to be aware of the sensitivity of different populations to privacy when protecting patient privacy. Patients' preoperative anxiety and information need status affect privacy satisfaction. This will mean that healthcare professionals will be able to identify key privacy concerns early and take appropriate action.

Indexed as

cross-sectional surveyinfluence factorsperioperativeprivacysurgery

Identifiers

PMID37901407
PMCPMC10600398

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.