Evidence map›Paper›PMID 24604479›Full record

ArticleBMJ open2014

What makes the hospitalisation system more efficient? An application of the decomposition method to Hong Kong morbidity data.

Paul S F Yip, Carmen K M Lee, Chun-Bong Chow, William T L Lo

Abstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. A Projection of Future Hospitalisation Needs in a Rapidly Ageing Society: A Hong Kong Experience.International journal of environmental research and public health · 2019
    Article
  3. The Contribution of Ageing to Hospitalisation Days in Hong Kong: A Decomposition Analysis.International journal of health policy and management · 2017
    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.

Paul S F YipDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, Hong Kong.
Carmen K M Lee
Chun-Bong Chow
William T L Lo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the efficiency of the Hong Kong hospitalisation system based on hospitalisation days.

designRetrospective study.

settingHospitalisation data (2000-2010) for all government-funded hospitals in Hong Kong. POPULATION: Hospitalisation data for the entire Hong Kong population (7.0 million in 2011).

methodsA decomposition method was used to determine the effects on total hospitalisation days during the period 2000-2010 of the following three factors: (i) hospitalisation rate per person; (ii) the number of visits per patient; and (iii) the mean duration of stay per visit.

main outcome measuresThe decomposition method provides empirical measures of how the three factors contributed to the change in total hospitalisation days during the period 2000-2010 and identifies the most effective way to contain increases in hospitalisation days.

resultsThe results of decomposition analysis show that the decrease in mean duration of stay per visit (reducing from 6.83 to 4.58 days) is the most important factor in the reduction in the total number of hospitalisation days, despite increases in total population size (from 6.7 to 7.0 million), the number of individual hospital admissions (from 583 000 to 664 000) and the number of episodes (from 1.2 to 1.4 million) from 2000 to 2010. Hospitalisation days per person decreased from 1.18 in 2000 to 0.93 in 2010. The decline in the mean duration of stay per visit contributed 200.6% to this reduction but was offset by -51.1% due to a slight growth in the number of visits per patient and by -49.4% as a result of changed hospitalisation rates per person.

conclusionsBetter management of the duration of stay of per visit without compromising patient satisfaction levels or the quality of service is the most important factor for controlling increases in health expenditure in Hong Kong.

Indexed as

Health Care CostsHospitalizationHospitals, PublicAdolescentAdultAgedChildChild, PreschoolFemaleHong KongHumansInfantInfant, NewbornLength of StayMaleMiddle AgedStatistics & Research Methods

Identifiers

PMID24604479
PMCPMC3948574

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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.