Evidence map›Paper›PMID 40477596›Full record

ArticleMobile networks and applications : MONET2022

Prevention and Control of COVID-19 Risks for Long-Term Care Facilities Based on the Prospect Theory.

Xiaofeng Xie, Jianhui Kong, Xiuying Hu, Li Zhao, Xudong Chen, Yang Yang, Fengying Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Mobile networks and applications : MONET, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Xiaofeng XieWest China Hospital/West China School of Nursing, Innovation Center of Nursing Research, Sichuan University, Chengdu, China.
Jianhui KongLaw School, Southwest Minzu University, Chengdu, China.
Xiuying HuWest China Hospital/West China School of Nursing, Innovation Center of Nursing Research, Sichuan University, Chengdu, China.
Li ZhaoDepartment of Health Policy and Managemen, West China School of Public Health, Chengdu, China.
Xudong ChenCollege of Management Science, Chengdu University of Technology, Chengdu, China.
Yang YangSchool of Economics Mathematics, Southwestern University of Finance and Economics, Chengdu, China.
Fengying ZhangWest China School of Nursing/West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the complexity and uncertainty of the current COVID-19 risks, the elderly people in long-term care facilities are at the highest risk for infection. In order to study the prevention and control strategies of COVID-19 risks in long-term care facilities, this paper uses the prospect theory to construct the decision-making model of COVID-19 risk behavior of long-term care facilities, analyses the risk behavior strategies of the caregivers and managers, and reveals the impact of risk management cost, risk loss and external supervision on the risk behavior decision-making of the caregivers and managers. Furthermore, from the perspective of long-term care facilities, this paper analyzes the constraints that enable it to achieve optimal risk management strategy. Combined with the simulation analysis, it is found that the decision of risk behavior of the caregivers and managers is positively related to the risk behavior choice, risk loss, and supervision. Then, only when the incentives set by the supervision are within a reasonable range can the caregivers and managers be motivated to take proactive risk management strategies. The study has important theoretical and practical significance for the management of COVID-19 risks in long-term care facilities.

Indexed as

COVID-19 riskDecision-makingLong-term care facilitiesProspect theoryRisk management

Identifiers

PMID40477596
PMCPMC8364407

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.