Evidence map›Paper›PMID 26475293›Full record

ArticleBMC health services research2015

Admissions for chronic ambulatory care sensitive conditions - a useful measure of potentially preventable admission?

Jo M Longman, Megan E Passey, Dan P Ewald, Elizabeth Rix, Geoffrey G Morgan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  16. Healthcare Providers' Perceptions of Potentially Preventable Rural Hospitalisations: A Qualitative Study.International journal of environmental research and public health · 2021
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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

5 authors.

Jo M LongmanUniversity Centre for Rural Health - North Coast, University of Sydney, PO Box 3074, Lismore, NSW, 2480, Australia. jo.longman@ucrh.edu.au.
Megan E PasseyUniversity Centre for Rural Health - North Coast, University of Sydney, PO Box 3074, Lismore, NSW, 2480, Australia. megan.passey@ucrh.edu.au.
Dan P EwaldNorth Coast Primary Health Network, Lismore, 2480, Australia. dewald@ncphn.org.au.
Elizabeth RixUniversity Centre for Rural Health - North Coast, University of Sydney, PO Box 3074, Lismore, NSW, 2480, Australia. elizabeth.rix@ncahs.health.nsw.gov.au.
Geoffrey G MorganUniversity Centre for Rural Health - North Coast, University of Sydney, PO Box 3074, Lismore, NSW, 2480, Australia. geoff.morgan@ucrh.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPotentially preventable hospital admission (an admission deemed to be potentially preventable given appropriate care in the community-based healthcare setting) has been a topic of international research attention for almost three decades. Recently this has been largely driven by the imperative to reduce ever-increasing unplanned hospital admissions. However, identifying potentially preventable admissions is difficult. As a result, the population level indicator of admissions for ambulatory care sensitive conditions (ACSCs) has been used as a proxy measure for potentially preventable admission. The adoption of this measure has become common, and in Australia, the rate of admissions for chronic ACSCs is now an important component of measuring health system performance and accountability, and is directly linked to funding. Admission for a chronic ACSC is also used to identify individuals for targeting of interventions to reduce preventable admissions. DISCUSSION: Hospital admission for chronic ACSCs is a population measure based on admission diagnoses, it therefore should not be used to identify individual preventable admissions. At present we are unable to determine individual admissions that are deemed to be preventable or, therefore, articulate the factors associated with admissions which are preventable. As we are currently unable to identify individual admissions that are preventable, little is understood about the underlying causes and factors contributing to preventable admissions. A means of assessing preventability of individual admissions is required. Only then can we explore the antecedents, and patient and clinician perspectives on preventable admissions. Until we have a clearer understanding of this, our capacity to inform policy and program development remains compromised.

Indexed as

Ambulatory Care FacilitiesChronic DiseaseAustraliaHospitalizationHumansOutcome Assessment, Health Care

Identifiers

PMID26475293
PMCPMC4608278

What OpenQuestion holds

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LicenceCC BY
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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.