Evidence map›Paper›PMID 31243038›Full record

ArticleBMJ open2019

Peter D Hibbert, Louise K Wiles, Ian D Cameron, Alison Kitson, Richard L Reed, Andrew Georgiou, Len Gray, Johanna Westbrook, Hanna Augustsson, Charlotte J Molloy and 7 more

Abstract read
In one paragraph

Article in BMJ open, 2019. 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. Review
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

17 authors.

Peter D HibbertAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0001-7865-343X
Louise K WilesAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Ian D CameronJohn Walsh Centre for Rehabilitation Research, Kolling Institute, Faculty of Medicine and Health, University of Sydney, St Leonards, New South Wales, Australia.
Alison KitsonCollege of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia.
Richard L ReedFlinders University General Practice and Primary Health Care, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.
Andrew GeorgiouAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Len GrayCentre for Health Services Research, Faculty of Medicine, University of Queensland, Herston, Queensland, Australia.
Johanna WestbrookAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Hanna AugustssonAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0001-6203-0676
Charlotte J MolloyAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Gaston ArnoldaAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Hsuen P TingAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Rebecca MitchellAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0003-1939-1761
Frances RapportAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0002-4428-2826
Susan J GordonCollege of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia.
William B RuncimanAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Jeffrey BraithwaiteAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0003-0296-4957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aged population is increasing rapidly across the world and this is expected to continue. People living in residential aged care facilities (RACFs) represent amongst the sickest and frailest cohort of the aged population, with a high prevalence of chronic conditions and complex comorbidities. Given the vulnerability of RACF residents and the demands on the system, there is a need to determine the extent that care is delivered in line with best practice ('appropriate care') in RACFs. There is also a recognition that systems should provide care that optimises quality of life (QoL), which includes support for physical and psychological well-being, independence, social relationships, personal beliefs and a caring external environment. The aims of METHODS AND ANALYSIS: We will extract recommendations from clinical practice guidelines and, using expert review, convert these into sets of indicators for 15 common conditions and processes of care for people living in RACFs. We will recruit RACFs in three Australian states, and residents within these RACFs, using a stratified multistage sampling method. Experienced nurses, trained in the ETHICS AND DISSEMINATION: The study has been reviewed and approved by the Human Research Ethics Committee of Macquarie University (5201800386). The research findings will be published in international and national journals and disseminated through conferences and presentations to interested stakeholder groups, including consumers, national agencies, healthcare professionals, policymakers and researchers.

Indexed as

Assisted Living FacilitiesHomes for the AgedResearch DesignAgedAustraliaDelivery of Health CareHealth Services for the AgedHumansQuality of Lifeauditclinical auditgeriatric medicinequality in health care

Identifiers

PMID31243038
PMCPMC6597647

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.