Evidence map›Paper›PMID 30736289›Full record

ArticleInternational journal of environmental research and public health2019

A Projection of Future Hospitalisation Needs in a Rapidly Ageing Society: A Hong Kong Experience.

Xueyuan Wu, Chi-Kin Law, Paul Siu Fai Yip

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Xueyuan WuDepartment of Economics, The University of Melbourne, Parkville, VIC 3010, Australia. xueyuanw@unimelb.edu.au.ORCID 0000-0003-3848-9078
Chi-Kin LawCentre for Applied Health Economics, Menzies Health Institute Queensland, School of Medicine, Griffith University, Nathan, QLD 4111, Australia. c.law1@griffith.edu.au.
Paul Siu Fai YipDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China. sfpyip@hku.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess the impact of ageing on hospitalisation in a rapidly ageing society. A study using retrospective and prospective data was conducted using hospitalisation data with age-specific admission rates in the period from 2001⁻2010 and demographic data from the period of 2001⁻2066 by the United Nations. The Hong Kong Special Administrative Region (SAR) with a 7 million population experiences extreme low fertility (1.1 children per woman) and long life expectancy (84 years old). Days of hospitalisation: For the period 2010⁻2066, the length of stay (LOS) in the age group 85+ is projected to increase by 555.3% while the LOS for the whole population is expected to increase by only 134.4% and by ageing only. In 2010, the proportion in the LOS contributed to by the oldest age group (85+) was 15%. In 2066, this proportion is projected to nearly triple (42%). Around 70% of the projected days of hospitalisation would be taken by people aged 75 years and above. It is projected that this phenomenon would be converted to a more balanced structure when the demographic transition changes into a more stable distribution. Apparently, the impact of ageing on the public hospital system has not been well understood and prepared. The determined result provides insight into monitoring the capacity of the hospital system to cope with a rapidly changing demographic society. It provides empirical evidence of the impact of ageing on the public hospitalisation system. It gives a long term projection up to the year 2066 while the situation would be different from the transient period of 2016⁻2030. The analysis adopts a fixed rate approach, which assumes the LOS to be only driven by demographic factors, while any improvements in health technologies and health awareness are not accounted for. Only inpatient data from the Hospital Authority were used, nonetheless, they are the best available for the study. Due to the limitation of data, proximity to death is not controlled in conducting this analysis.

Indexed as

AgingAdultAgedAged, 80 and overChildDemographyFemaleForecastingHealth Services for the AgedHong KongHospitalizationHumansLife ExpectancyMaleMiddle AgedPopulation DynamicsageingHong KongHospitalisation

Identifiers

PMID30736289
PMCPMC6388233

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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.