Evidence map›Paper›PMID 37081383›Full record

ArticleBMC geriatrics2023

Research on layout model and construction planning of aged care institutions for disabled elders in China: based on Nanjing city data.

Xiaojun Guo, Houxue Shen, Qinglan Wen, Sifeng Liu, Yingjie Yang, Hui Zhang

Erratum issuedAbstract read
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Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Xiaojun GuoSchool of Science, Nantong University, 9 Seyuan Road, Nantong, 226019, China. guoxj159@163.com.
Houxue ShenSchool of Science, Nantong University, 9 Seyuan Road, Nantong, 226019, China.
Qinglan WenSchool of Science, Nantong University, 9 Seyuan Road, Nantong, 226019, China.
Sifeng LiuCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Yingjie YangInstitute of Artificial Intelligence, De Montfort University, Leicester, LE1 9BH, UK.
Hui ZhangSchool of Science, Nantong University, 9 Seyuan Road, Nantong, 226019, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo meet the needs of diversified pension services and the construction of aged care institutions is one of the urgent livelihood issues in China. Under the major national needs of pension and care for the elderly, it is necessary to optimize the allocation of pension and care for the elderly resources, and formulate operational coping strategies and optimization plans. It is of great significance to deal with the urgent problem of population aging in a timely and scientific way.

methodsThe economic benefits and social costs of aged care institutions are regarded as objective functions. To satisfy the economic benefits, it is necessary to reduce the social costs, and its construction quantity can only be an integer. The multi-objective genetic algorithm is improved with integer programming, and the global optimal solution is achieved after several times of searching. Under the multi-objective optimization model, the improved genetic algorithm was combined with the superior and inferior solution distance method to solve the genetic algorithm, and the corresponding objective function value was obtained after rounding. Finally, Pareto optimal solution set is selected by multi-objective decision, and the result of construction planning is obtained.

resultsBased on multi-attribute decision analysis and taking three years as the construction cycle, the planning scheme of aged care institutions construction in each district of Nanjing in the next 15 years was proposed. In addition, considering the intelligent trend of future pension, the proportion of home-based pension is increasing year by year, and the model is promoted to meet the needs of diversified pension services. With the gradual increase of the elderly population in Nanjing, the proportion of intelligent home-based care has been increasing year by year since 2027, and the construction demand of aged care institutions has also increased. The number of construction at all levels rises gradually in each cycle, and the increase is more obvious after 2027.

conclusionsThe layout and planning of aged care institutions proposed in this paper not only considers economic and environmental benefits, but also combines the current situation of aged care institutions in various districts of Nanjing. The model is reasonable and effective, and has practical application value. It will help China optimize the allocation of elderly care resources under the target of active aging, and scientifically and comprehensively deal with the problem of population aging.

Indexed as

Home Care ServicesPersons with DisabilitiesAgedAgingChinaHumansPensionsActive agingConstruction planningGenetic algorithmLayout of aged care institutionsMulti-objective programmingMultiple attribute decision making

Identifiers

PMID37081383
PMCPMC10116451

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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.