Evidence map›Paper›PMID 39623336›Full record

ArticleBMC geriatrics2024

The impact of the Dementia Care in Hospitals Program on hospital acquired complications - a non-randomised stepped wedge hybrid effectiveness-implementation study.

Mark W Yates, Kasia Bail, Sean MacDermott, David Skvarc, Meredith Theobald, Michelle Morvell, Jessica C Jebramek, Ian Tebbut, Brian Draper, Henry Brodaty

Abstract readMulticenter Study
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Mark W YatesGrampians Health, Ballarat Health Services, School of Medicine, Faculty of Health, Deakin University, Ballarat, VIC, Australia. mark.yates@deakin.edu.au.
Kasia BailAgeing Research Group, Faculty of Health, Synergy Nursing and Midwifery Research Centre ACT Health, University of Canberra, Canberra, Australia.
Sean MacDermottJohn Richards Centre for Rural Ageing Research, La Trobe Rural Health School, Wodonga, VIC, Australia.
David SkvarcSchool of Psychology, Faculty of Health, Deakin University, Melbourne, Vic, Australia.
Meredith TheobaldGrampians Health, Ballarat Health Services, Ballarat, Australia.
Michelle MorvellGrampians Health, Ballarat Health Services, Ballarat, Australia.
Jessica C JebramekSchool of Psychology, Faculty of Health, Deakin University, Melbourne, Vic, Australia.
Ian TebbutHealth Services Data Analyst, RooCube Pty Ltd, Melbourne, Australia.
Brian DraperProfessor (Conjoint), Discipline of Psychiatry and Mental Health, UNSW Medicine and Health, University of NSW, Sydney, Australia.
Henry BrodatyCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitalized older patients with cognitive impairment (CI) experience poor outcomes and high rates of hospital acquired complications (HACs). This study investigated the effectiveness of a multimodal hospital CI identification and education program.

methodA prospective stepped-wedge, cross-sectional, continuous-recruitment, hybrid effectiveness-Implementation study was conducted in acute hospitals in four Australian states/territories. The intervention, the Dementia Care in Hospitals Program (DHCP) provided: clinical/ non-clinical hospital staff CI awareness support and education; CI screening for older patients and a bedside alert-the Cognitive Impairment Identifier (CII). The primary outcome was change in the rate of the combined risk of four HACs (urinary tract infection, pneumonia, new onset delirium, pressure injury).

resultsParticipants were patients aged 65 years and over admitted for 24 h or more over a 12-month period between 2015-2017 (n = 16,789). Of the 11,309 (67.4%) screened, 4,277 (37.8%) had CI. HACs occurred in 27.4% of all screened patients and were three times more likely in patients with CI after controlling for age and sex (RR = 3.03; 95%CI:2.74-3.27). There was no significant change in HAC rate for patients with CI (RR = 1.084; 95%CI: 0.93; 1.26). In the intervention period the raw HAC rate for all screened patients was 27.0%, which when adjusted for age and sex suggested a small reduction overall. However, when adjusted for hospital site, this reduction in HAC risk not statistically significant (RR = 0.968; 95%CI:0.865-1.083). There was considerable interhospital variation in intervention implementation and outcomes which explains the final non-significant effect.

conclusionFor patient with CI the implementation of the DCHP did not result in a reduction in HAC rates. Education for hospital staff regarding cognitive impairment screening, care support, carer engagement and bedside alerts, using the DCHP, can be feasibly implemented in acute hospitals. Reducing high frequency HACs in older hospital patients with CI, warrants further research.

trial registrationThe trial was registered retrospectively with the Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12615000905561 on 01/09/2015 with 92 patients (0.8% of total sample) recruited in the baseline and none in the intervention before registration submission.

Indexed as

DementiaAgedAged, 80 and overAustraliaCognitive DysfunctionCross-Sectional StudiesFemaleHospitalizationHumansIatrogenic DiseaseMaleProspective StudiesAdverse eventsCognitive impairmentDeliriumEffectivenessHospitalsMulti-modal interventionsTrial

Identifiers

PMID39623336
PMCPMC11610119

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.