Evidence map›Paper›PMID 36531303›Full record

ArticlePatient preference and adherence2022

Evaluation of the Effect of Changing the Normalised Appointment Mode During the Coronavirus Disease 2019 Epidemic on the Development of Day Surgery.

Bangju Li, Xizhen Fan, Qun Xia

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2022. 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
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  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 at 1 institution in 1 country.

Bangju LiDay Surgery Ward, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001 People's Republic of China.
Xizhen FanDay Surgery Ward, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001 People's Republic of China.
Qun XiaDay Surgery Ward, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001 People's Republic of China.
University of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the effect of changing the normal appointment mode on day surgery. Methods: From December 2020 to December 2021, 302 patients with day surgery admitted to the hospital by using the unified reservation mode of the intelligent bed system were selected as the experimental group, while 302 patients with day surgery admitted to the hospital by using the decentralised bed reservation mode were randomly selected as the control group. The same-day surgery cancellation rate, bed utilisation rate and patient satisfaction were analysed and compared between the two groups. Results: The treatment experience of the patients in the experimental group was higher than that in the control group. The same-day surgery cancellation rate was lower than that of the control group, with a statistically significant difference ( Conclusion: The unified computer reservation mode of the intelligent bed reservation system is superior to the decentralised reservation mode across departments. A daytime intelligent bed reservation mode was adopted for unifying bed appointments, which could effectively reduce the same-day cancellation rate of day surgery, improve bed utilisation and improve patient satisfaction.

Indexed as

COVID-19day surgeryevaluationpatient satisfactionsurgical cancellation rate

Identifiers

PMID36531303
PMCPMC9748151
OpenAlexW4310877131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.