Evidence map›Paper›PMID 35983524›Full record

ArticleComputational and mathematical methods in medicine2022

Influence of Personalized Health Management Model Based on Internet Mode on Self-Management Ability and Life Quality of Patients with Chronic Diseases Undergoing Physical Examination.

Li Qiao, Ruijuan Li

RetractedOpen access · hybridAbstract readControlled Clinical TrialRetracted 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 It has been retracted, and should not be counted.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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 23% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Li QiaoPhysical Examination Department, Yuncheng First Hospital Yuncheng, Shanxi 044000, China.
Ruijuan LiThe Pain Department, Yuncheng First Hospital Yuncheng, Shanxi 044000, China.ORCID https://orcid.org/0000-0003-3779-541X
Yuncheng University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the influence of personalized health management model based on the Internet mode on self-management ability and life quality of patients with chronic diseases of physical examination. Methods: Sixty patients with chronic diseases who went through physical examination from February 2019 to April 2021 were enrolled in our hospital. The patients were arbitrarily assigned into control and research group. The former group received routine nursing, and the latter group received personalized health management mode based on the Internet mode. The nursing satisfaction, self-management behavior ability, blood pressure level, physiological index, mastery of health knowledge, and life quality scores were compared. Results: In terms of nursing satisfaction, the research group was very satisfied in 20 cases, satisfactory in 9 cases, and general in 1 case, with a satisfaction rate of 100.00%; In the control group, 15 cases were very satisfied, 9 cases were satisfied, 1 case was general, 5 cases were not satisfied, and the satisfaction rate was 83.33%; The nursing satisfaction of the research group was higher ( Conclusion: The personalized health management model based on the Internet mode can effectively enhance the chronic disease physiological indexes such as blood pressure, blood lipids, and blood sugar and improve the self-management ability of the patients with chronic disease, which is worth further popularizing and applying in the clinical physical examination in clinic.

Indexed as

Quality of LifeSelf-ManagementChronic DiseaseHumansInternetPhysical Examination

Identifiers

PMID35983524
PMCPMC9381198
OpenAlexW4292432195

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.