Evidence map›Paper›PMID 29969468›Full record

ArticlePloS one2018

Cost analysis of improving emergency care for aged care residents under a Hospital in the Nursing Home program in Australia.

Lijun Fan, Bill Lukin, Jingzhou Zhao, Jiandong Sun, Kaeleen Dingle, Rhonda Purtill, Sam Tapp, Xiang-Yu Hou

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 19% of its field
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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Care pathways for reduced fetal movements: A cost-consequence analysis.The Australian & New Zealand journal of obstetrics & gynaecology · 2025
    Article
  4. Observational
  5. Article
  6. Observational
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

8 authors at 4 institutions in 2 countries.

Lijun FanDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-5863-0169
Bill LukinDepartment of Emergency Medicine, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Jingzhou ZhaoBureau of Investment Promotion, Wuwei City, Gansu Province, P. R. China.
Jiandong SunQueensland Health, Brisbane, Queensland, Australia.
Kaeleen DingleSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia.
Rhonda PurtillDepartment of Emergency Medicine, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Sam TappDepartment of Emergency Medicine, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Xiang-Yu HouSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia.
Royal Brisbane and Women's Hospital · AUQueensland University of Technology · AUQueensland Health · AUSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to examine the costs associated with a Hospital in the Nursing Home (HiNH) program in Queensland Australia directed at patients from residential aged care facilities (RACFs) with emergency care needs.

methodsA cost analysis was undertaken comparing the costs under the HiNH program and the current practice, in parallel with a pre-post controlled study design. The study was conducted in two Queensland public hospitals: the Royal Brisbane and Women's Hospital (intervention hospital) and the Logan Hospital (control hospital). Main outcome measures were the associated incremental costs or savings concerning the HiNH program provision and the acute hospital care utilisation over one year after intervention.

resultsThe initial deterministic analysis calculated the total induced mean costs associated with providing the HiNH program over one year as AU$488,116, and the total induced savings relating to acute hospital care service utilisation of AU$8,659,788. The total net costs to the health service providers were thus calculated at -AU$8,171,671 per annum. Results from the probabilistic sensitivity analysis (based on 10,000 simulations) showed the mean and median annual net costs associated with the HiNH program implementation were -AU$8,444,512 and-AU$8,202,676, and a standard deviation of 2,955,346. There was 95% certainty that the values of net costs would fall within the range from -AU$15,018,055 to -AU$3,358,820.

conclusionsThe costs relating to implementing the HiNH program appear to be much less than the savings in terms of associated decreases in acute hospital service utilisation. The HiNH service model is likely to have the cost-saving potential while improving the emergency care provision for RACF residents.

Indexed as

Costs and Cost AnalysisAgedAged, 80 and overAssisted Living FacilitiesAustraliaEmergency Medical ServicesEmergency Service, HospitalEmergency TreatmentFemaleHospitalizationHumansMaleNursing Homes

Identifiers

PMID29969468
PMCPMC6029796
OpenAlexW2810057270

What OpenQuestion holds

Textmetadata
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.