Evidence map›Paper›PMID 33148755›Full record

Observational studyBMJ open2020

Patterns of emergency admissions for ambulatory care sensitive conditions: a spatial cross-sectional analysis of observational data.

Rita Santos, Nigel Rice, Hugh Gravelle

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

3 authors.

Rita SantosCentre for Health Economics, University of York, York, North Yorkshire, UK rita.santos@york.ac.uk.ORCID 0000-0001-7953-1960
Nigel RiceCentre for Health Economics, University of York, York, North Yorkshire, UK.
Hugh GravelleCentre for Health Economics, University of York, York, North Yorkshire, UK.

Funding

Department of Health DRF-2014-07-055
6 · The paper itself

Abstract

objectivesTo examine the spatial and temporal patterns of English general practices' emergency admissions for Ambulatory Care Sensitive Conditions (ACSCs).

designObservational study of practice level annual hospital emergency admissions data for ACSCs for all English practices from 2004-2017.

participantsAll patients with an emergency admission to a National Health Service hospital in England who were registered with an English general practice.

main outcome measurePractice level age and gender indirectly standardised ratios (ISARs) for emergency admissions for ACSC.

resultsIn 2017, 41.8% of the total variation in ISARs across practices was

conclusionsThere is persistent spatial pattern of emergency admissions for ACSC across England both within and across CCGs. We illustrate the reduction in ACSCs emergency admissions across the study period for conditions incentivised by the QOF but find that this was not accompanied by a reduction in variation in these admissions across practices. The observed spatial pattern persists when admission rates are standardised by deprivation. The persistence of spatial clusters of high emergency admissions for ACSCs within and across CCG boundaries suggests that policies to reduce potentially unwarranted variation should be targeted at practice level.

Indexed as

Ambulatory CareState MedicineCross-Sectional StudiesEnglandHospitalizationHumanshealth economicsprimary carequality in health care

Identifiers

PMID33148755
PMCPMC7643517

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.