ArticleBioMed research international2022
Nursing Effect of Health Monitoring System on Elderly Patients with Osteoporosis.
Article in BioMed research international, 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 It has been retracted, and should not be counted.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 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity.International journal of environmental research and public health · 2024Review
- Research progress of targeted therapy regulating Th17/Treg balance in bone immune diseases.Frontiers in immunology · 2024Review
- Retracted: Nursing Effect of Health Monitoring System on Elderly Patients with Osteoporosis.BioMed research international · 2023Article
Corrections and comments
- Retraction · 2023-06-21Concerns/Issues about Data · Concerns/Issues about Human Subject Welfare · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Health monitoring can provide scientific and reasonable care for elderly users, professionally monitor the health parameters of the human body, and timely understand the user's own physical condition. By installing sensors with different functions in the rooms where the elderly often move and by installing vital signs sensors on their bodies, the data detected by the sensors are collected and analyzed in real time. Nursing refers to the fact that nursing staff must strictly follow the nursing system and operating procedures in the nursing work, accurately implement the doctor's orders, implement the nursing plan, and ensure that the patient is physically and mentally safe during treatment and recovery. Osteoporosis is a systemic bone disease in which bone density and bone quality are decreased due to various reasons, and the microstructure of bone is destroyed, resulting in increased bone fragility, which is prone to fractures. Osteoporosis is divided into two main categories: primary and secondary. Primary osteoporosis is divided into postmenopausal osteoporosis (Type I), senile osteoporosis (Type II), and idiopathic osteoporosis (including adolescent forms). This paper aims to study the healthcare effect of health monitoring system on elderly patients with osteoporosis, expecting to use the health monitoring system to provide more scientific care for the elderly and reduce the pain caused by osteoporosis. This paper proposes a study from the users of the elderly health monitoring products and the elderly home health products and analyzes the influencing factors of the usability design of the elderly home health monitoring system. This paper designs the overall framework of the elderly health monitoring system and designs the main components and application functions of the system. The experimental results in this paper show that there are 20 patients with osteoporosis due to lack of light, accounting for 16%. There are 10 patients with osteoporosis due to excessive coffee intake, accounting for 8%. There are 90 people who normally eat eggs, accounting for 75%, and 66 people who eat meat normally, accounting for 55%. According to the data, the health monitoring system can effectively control the diet of patients with osteoporosis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.