Evidence map›Paper›PMID 35954791›Full record

ReviewInternational journal of environmental research and public health2022

Policy Development on Upskilling/Reskilling Older Population Care Staff in China.

Jason Hung

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

1 author.

Jason HungDepartment of Sociology, The University of Cambridge, Cambridge CB3 0SZ, UK.ORCID 0000-0002-0267-3925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mainland China has been concerned about the national growth rate of older adults aged 60 or above. The rapid growth of the cohort of older adults will significantly burden the Chinese healthcare system as they are at higher risk of suffering from chronic illnesses and functional disabilities. In geriatrics, aged populations often endure a wide range of diseases, dysfunctions, and cognitive impairment, so the corresponding healthcare services needed for them are substantial. The rise in the older adults' life expectancy has compounded the burden of the healthcare system in mainland China in the long term. In this narrative essay, it is important to discuss how the state should assume a higher share of relevant responsibilities, by assessing how Chinese policymaking has been transformed to better satisfy the older population's care and healthcare needs in mainland China. It is also pivotal to focus on analysing relevant Chinese policy development within the most recent dozen years to address how China's state and local governments have been progressing in promptly providing health and older population care services to older Chinese adults. Because of the supply shortage and low quality of older population caregivers and alternative professionals, it is necessary to discuss and highlight the need to reskill or upskill relevant caregivers. As the trend of rural-to-urban labour migration continues, working adults of rural origins increasingly cannot provide domestic older population care, and human investment in training caregivers is an urgent task of Chinese policymaking. Therefore, how Chinese policymaking encourages upskilling or reskilling relevant caregivers is examined in this narrative essay.

Indexed as

GeriatricsRural PopulationAgedChinaHumansLife ExpectancyMiddle AgedPolicy MakingChinaelderly carehealthcareolder adultspolicy development

Identifiers

PMID35954791
PMCPMC9368009

What OpenQuestion holds

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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.