Evidence map›Paper›PMID 30954063›Full record

ArticleBMC cardiovascular disorders2019

Regional variations in trajectories of long-term readmission rates among patients in England with heart failure.

Ahsan Rao, Dani Kim, Ara Darzi, Azeem Majeed, Paul Aylin, Alex Bottle

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 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
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. 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

6 authors at 2 institutions in 1 country.

Ahsan RaoDr Foster Unit, Department of Public Health, Imperial College London, 3 Dorset Rise, London, EC4Y 8EN, UK. ahsanmrao1@gmail.com.ORCID 0000-0002-4126-813X
Dani KimDr Foster Unit, Department of Public Health, Imperial College London, 3 Dorset Rise, London, EC4Y 8EN, UK.
Ara DarziDepartment of Surgery, Imperial College London, St Mary's Hospital, Praed Street, London, W2 1NY, UK.
Azeem MajeedDr Foster Unit, Department of Public Health, Imperial College London, 3 Dorset Rise, London, EC4Y 8EN, UK.
Paul AylinDr Foster Unit, Department of Public Health, Imperial College London, 3 Dorset Rise, London, EC4Y 8EN, UK.
Alex BottleDr Foster Unit, Department of Public Health, Imperial College London, 3 Dorset Rise, London, EC4Y 8EN, UK.
Imperial College London · GBSt Mary's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to compare the characteristics and types of heart failure (HF) patients termed "high-impact users", with high long-term readmission rates, in different regions in England. This will allow clinical factors to be identified in areas with potentially poor quality of care.

methodsPatients with a primary diagnosis of heart failure (HF) in the period 2008-2009 were identified using nationally representative primary care data linked to national hospital data and followed up for 5 years. Group-based trajectory models and sequence analysis were applied to their readmissions.

resultsIn each of the 8 NHS England regions, multiple discrete groups were identified. All the regions had high-impact users. The group with an initially high readmission rate followed by a rapid decline in the rate ranged from 2.5 to 11.3% across the regions. The group with constantly high readmission rate compared with other groups ranged from 1.9 to 12.1%. Covariates that were commonly found to have an association with high-impact users among most of the regions were chronic respiratory disease, chronic renal disease, stroke, anaemia, mood disorder, and cardiac arrhythmia. Respiratory tract infection, urinary infection, cardiopulmonary signs and symptoms and exacerbation of heart failure were common causes in the sequences of readmissions among high-impact users in all regions.

conclusionThere is regional variation in England in readmission and mortality rates and in the proportions of HF patients who are high-impact users.

Indexed as

AgedAged, 80 and overEnglandFemaleHealthcare DisparitiesHealth ResourcesHeart FailureHumansMaleMiddle AgedPatient ReadmissionRisk FactorsTime FactorsHeart failureHigh-impact usersReadmission rateRegional analysis

Identifiers

PMID30954063
PMCPMC6451209
OpenAlexW2928855194

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.