Evidence map›Paper›PMID 36035277›Full record

ArticleComputational and mathematical methods in medicine2022

A Retrospective Analysis of Internet-Based Sharing Nursing Service Appointment Data.

Yuchen Fan, Yuezhen Ma, Yong Zhang, Changjian Sun

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. 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 It has been retracted, and should not be counted.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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yuchen FanDepartment of Hepatobiliary Surgery, Shandong Provincial Third Hospital, Jinan 250000, China.ORCID https://orcid.org/0000-0003-4471-5879
Yuezhen MaIntensive Care Unit, Shandong Provincial Third Hospital, Jinan 250000, China.
Yong ZhangIntensive Care Unit, Shandong Provincial Third Hospital, Jinan 250000, China.
Changjian SunCollege of Electronic Science and Engineering, Jilin University, Changchun 130012, China.ORCID https://orcid.org/0000-0001-7194-025X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To investigate the historical data of the "Internet+ Nursing" service platform and provide a theoretical basis to optimize the "Internet+ Nursing" service model by analyzing a population in need of nursing care services, service prices, services in demand, willingness to place orders, and feedback on use. Methods: A retrospective analysis of data related to home care services on the "Jiuzhou Nursing Care" platform from April 2020 to August 2021, a total of 279 person-times, relevant information about the research subjects, and the status of home care services was conducted. SPSS 24.0 software was used for data analyses, such as calculating frequencies and percentages and conducting chi-square tests. Results: The "Jiuzhou Online Nurse" primarily serves elderly patients, and the majority of these patients have lost their ability to care for themselves. The average cost of nursing services was ¥183.45, and the unit cost of services had no effect on the number of service items. This particular internet-based home nursing service has a high level of satisfaction. Patients aged 60 to 74 have the highest number of Internet-based home care service orders ( Conclusion: The "Internet+ Nursing" service platform specifically meets the individual needs of elderly patients, provides them with home nursing services, and improves local medical treatment and door-to-door services. This platform also provides convenience for elderly individuals who cannot care for themselves so that they can receive prompt treatment and assistance to improve their quality of life.

Indexed as

Home Care ServicesQuality of LifeAgedHumansInternetRetrospective Studies

Identifiers

PMID36035277
PMCPMC9410863

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.