Evidence map›Paper›PMID 34413105›Full record

ArticleBMJ open2021

Identification of factors associated with high-cost use of inpatient care in chronic kidney disease: a registry study.

P Marcin Sowa, Sree K Venuthurupalli, Wendy E Hoy, Jianzhen Zhang, Anne Cameron, Helen G Healy, Luke B Connelly

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. 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
0.9field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 1 institution in 2 countries.

P Marcin SowaNHMRC Chronic Kidney Disease Centre of Research Excellence, The University of Queensland, Herston, Queensland, Australia m.sowa@uq.edu.au.ORCID 0000-0001-8892-4133
Sree K VenuthurupalliNHMRC Chronic Kidney Disease Centre of Research Excellence, The University of Queensland, Herston, Queensland, Australia.
Wendy E HoyNHMRC Chronic Kidney Disease Centre of Research Excellence, The University of Queensland, Herston, Queensland, Australia.ORCID 0000-0002-8405-1539
Jianzhen ZhangNHMRC Chronic Kidney Disease Centre of Research Excellence, The University of Queensland, Herston, Queensland, Australia.
Anne CameronNHMRC Chronic Kidney Disease Centre of Research Excellence, The University of Queensland, Herston, Queensland, Australia.
Helen G HealyNHMRC Chronic Kidney Disease Centre of Research Excellence, The University of Queensland, Herston, Queensland, Australia.
Luke B ConnellyNHMRC Chronic Kidney Disease Centre of Research Excellence, The University of Queensland, Herston, Queensland, Australia.
The University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore factors behind inpatient admissions by high-cost users (HCUs) in pre-end-stage chronic kidney disease (CKD).

designRetrospective analysis of CKD.QLD Registry and hospital admissions of the Queensland Government Department of Health recorded between 1 July 2011 and 30 June 2016.

settingQueensland public and private hospitals.

participants5096 individuals with CKD who consented to the CKD.QLD Registry via 1 of 11 participating sites. MAIN OUTCOMES: Associations of HCU status with patient characteristics, pathways and diagnoses behind hospital admissions at 12 months.

resultsAge, advanced CKD, primary renal diagnosis, cardiovascular disease and hypertension were predictors of the high-cost outcome. HCUs were more likely than non-HCUs to be admitted by means of episode change (relative risk: 5.21; 95% CI 5.02 to 5.39), 30-day readmission (2.19; 2.13 to 2.25), scheduled readmission (1.29; 1.11 to 1.46) and emergency (1.07; 1.02 to 1.13), for diagnoses of the nervous (1.94; 1.74 to 2.15), circulatory (1.24; 1.14 to 1.34) and respiratory (1.2; 1.03 to 1.37) systems and other factors influencing health status (1.92; 1.74 to 2.09).

conclusionsThe high relevance of episode change and other factors influencing health status revealed that a substantial part of excess demand for inpatient care was associated with discordant conditions often linked to frailty, decline in psychological health and social vulnerability. This suggests that multidisciplinary models of care that aim to manage discordant comorbidities and address psychosocial determinants of health, such as renal supportive care, may play an important role in reducing inpatient admissions in this population.

Indexed as

InpatientsRenal Insufficiency, ChronicHospitalizationHumansRegistriesRetrospective Studieschronic renal failurehealth economicshealth services administration & management

Identifiers

PMID34413105
PMCPMC8378349
OpenAlexW3193691462

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.