Evidence map›Paper›PMID 38628098›Full record

ArticleNursing open2024

Forecast of the number of nursing beds per 1000 older people from 2023 to 2025: Empirical quantitative research.

Ping Luo, Lan Chen, Yangwu Liu, Sheng Weng

Abstract read
In one paragraph

Article in Nursing open, 2024. 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

4 authors.

Ping LuoMedical College, Hunan Polytechnic of Environment and Biology, Hengyang, Hunan Province, China.
Lan ChenSchool of Nursing, Yueyang Vocational Technical College, Yueyang, Hunan, China.
Yangwu LiuMedical College, Hunan Polytechnic of Environment and Biology, Hengyang, Hunan Province, China.
Sheng WengSchool of Special Education, Changsha Vocational and Technical College, Changsha, Hunan, China.ORCID 0009-0004-9883-8473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis research aims to offer a reference point for relevant departments to enhance the allocation of ageing resources and formulate policies accordingly.

designThis study is designed as empirical quantitative research.

methodsData from the National Bureau of Statistics and the Ministry of Civil Affairs regarding older adults (aged≥60) from 2000 to 2022 and nursing beds from 1978 to 2022 were analysed. The differential autoregressive integrated moving averages model and Monte Carlo simulation were used to predict the growth of nursing beds per 1000 older people in China for the Years 2023-2025.

resultsIt is projected that from 2023 to 2025, China will experience a further increase in its ageing population, with an average annual growth rate of 3.1%. By 2025, the number of older people in China is expected to surpass 300 million. Additionally, there will be a rise in the number of nursing beds, with an average annual growth rate of 1.9%, leading to a total of 8.79 million nursing beds by 2025. However, due to the rapid growth of the older population, there will be a slight decline in the number of nursing beds per 1000 older people in China, with an average annual growth rate of -1.00%.

Indexed as

ForecastingAgedChinaHumansMonte Carlonursing bedsolder peopletime series analysis

Identifiers

PMID38628098
PMCPMC11021919

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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.