Evidence map›Paper›PMID 34306601›Full record

Trial reportJournal of healthcare engineering2021

Nursing Intervention Based on Smart Medical Care on the Sleep Quality of Cardiology Patients.

Guifang Gao, Jingjing Su

RetractedOpen access · hybridAbstract readRandomized Controlled TrialRetracted Publication
In one paragraph

Trial report in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Guifang GaoInternal Medicine, Jinan Municipal Hospital of Traditional Chinese Medicine, Jinan 250012, Shandong, China.ORCID 0000-0002-3002-7330
Jingjing SuDisinfection and Supply Center, Jinan Municipal Hospital of Traditional Chinese Medicine, Jinan 250012, Shandong, China.
Jining Traditional Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid development of society and the gradual improvement of people's living standards, patients with cardiovascular diseases have higher standards and requirements for daily health care and quality of life. The main research of this article is based on the observation of the effect of smart medical nursing intervention on the sleep quality of cardiology patients. The convenience sampling method was used to randomly select 80 cardiology patients from the electronic medical record system of the hospital, and the patients were randomly divided into two groups. One group was the control group. The routine nursing method was adopted, and a dedicated nurse paid attention to the sleep status; the other group was the control group. The research group adopts targeted nursing methods. This paper selects three kinds of sensor data as features. When collecting each scene record, it is first divided into sleeping and awake states, and then the classified time is composed of time segments, and these time segments are finally accumulated into sleep duration. Using sleep time, waking time, and sleep duration as input, the participants were divided into good sleepers and poor sleepers. Through a self-made questionnaire survey, the factors that have an adverse effect on the patient's sleep are divided into 7 aspects. Using the method of internal continuity measurement, Cronbach's coefficient

Indexed as

CardiologyQuality of LifeHumansReproducibility of ResultsSleepSleep Quality

Identifiers

PMID34306601
PMCPMC8263284
OpenAlexW3176595214

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.