Evidence map›Paper›PMID 24793254›Full record

ArticleBMJ open2014

Rural-urban differentials in 30-day and 1-year mortality following first-ever heart failure hospitalisation in Western Australia: a population-based study using data linkage.

Tiew-Hwa Katherine Teng, Judith M Katzenellenbogen, Joseph Hung, Matthew Knuiman, Frank M Sanfilippo, Elizabeth Geelhoed, Michael Hobbs, Sandra C Thompson

Abstract readComparative Study
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 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Association of psychological distress with reasons for delay in seeking medical care in rural patients with worsening heart failure symptoms.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Association between Residence Location and Pre-Hospital Delay in Patients with Heart Failure.International journal of environmental research and public health · 2021
    Article
  10. Characteristics and outcomes of patients admitted to regional and rural intensive care units in Australia.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2020
    Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Global Public Health Burden of Heart Failure.Cardiac failure review · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Tiew-Hwa Katherine TengWestern Australian Centre for Rural Health, University of Western Australia, Perth, Western Australia, Australia.
Judith M Katzenellenbogen
Joseph Hung
Matthew Knuiman
Frank M Sanfilippo
Elizabeth Geelhoed
Michael Hobbs
Sandra C Thompson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe examined differentials in short-term (30-day mortality) and 1-year mortality (in 30-day survivors) following index (first-ever) hospitalisation for heart failure (HF), between rural and metropolitan patients resident in Western Australia.

designA population-based cohort study.

settingHospitalised patients in Western Australia, Australia.

participantsIndex patients aged 20-84 years with a first-ever hospitalisation for HF between 2000 and 2009 (with no prior admissions for HF in previous 10 years), identified using the Western Australia linked health data.

main outcome measures30-day and 1-year all-cause mortality (in 30-day survivors) following index admission for HF.

resultsOf 17 379 index patients with HF identified, 25.9% (4499) were from rural areas. Rural patients were significantly younger at first HF hospitalisation than metropolitan patients. Aboriginal patients comprised 1.9% of metropolitan and 17.2% of rural patients. Despite some statistical differences, the prevalence of antecedents including ischaemic heart disease, hypertension, diabetes and chronic kidney disease was high (>20%) in both subpopulations. After adjusting for age only, patients from rural areas had a higher risk of 30-day death (OR 1.16 (95% CI 1.01 to 1.33)) and 1-year death in 30-day survivors (HR 1.11 (95% CI 1.01 to 1.23)). These relative risk estimates increased and remained significant after further progressive adjustments for Aboriginality, socioeconomic status, insurance status, emergency presentation, individual comorbidities and revascularisation with OR 1.25 (1.06 to 1.48) for 30-day mortality and HR 1.13 (1.02 to 1.27) for 1-year mortality. The addition of the weighted Charlson index to the 30-day model improved the 'c' statistic (under the receiver operating characteristic curve) from 0.656 (using a variation of administrative claims model) to 0.714.

conclusionsRemoteness and variable access to healthcare can cause important disparities in health outcomes. Rural patients with HF in Western Australia have poorer risk-adjusted outcomes compared with metropolitan patients. This finding has important implications for chronic disease management and provision of health services in rural Australia.

Indexed as

AdultAgedAged, 80 and overAustraliaCohort StudiesFemaleHeart FailureHospitalizationHumansInformation Storage and RetrievalMaleMiddle AgedRural HealthTime FactorsUrban HealthWestern AustraliaEpidemiology

Identifiers

PMID24793254
PMCPMC4025448

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.