Evidence map›Paper›PMID 33411717›Full record

ArticlePloS one2021

What could prevent chronic condition admissions assessed as preventable in rural and metropolitan contexts? An analysis of clinicians' perspectives from the DaPPHne study.

Jo Longman, Jennifer Johnston, Dan Ewald, Adrian Gilliland, Michael Burke, Tabeth Mutonga, Megan Passey

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 24% 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, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  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 3 institutions in 1 country.

Jo LongmanUniversity Centre for Rural Health, The University of Sydney, Lismore, NSW, Australia.ORCID 0000-0002-8257-7772
Jennifer JohnstonUniversity Centre for Rural Health, The University of Sydney, Lismore, NSW, Australia.
Dan EwaldUniversity Centre for Rural Health, The University of Sydney, Lismore, NSW, Australia.
Adrian GillilandCoffs Medical Centre, Coffs Harbour, NSW, Australia.
Michael BurkeSchool of Medicine, The University of Sydney, Sydney, NSW, Australia.
Tabeth MutongaMt Druitt Community Health Centre, Western Sydney Local Health District, Mt Druitt, NSW, Australia.
Megan PasseyUniversity Centre for Rural Health, The University of Sydney, Lismore, NSW, Australia.
The University of Sydney · AUCoffs Harbour City Council · AUSydney Local Health District · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionReducing potentially preventable hospitalisations (PPH) is a priority for health services. This paper describes the factors that clinicians perceived contributed to preventable admissions for angina, diabetes, congestive heart failure (CHF) and chronic obstructive pulmonary disease (COPD), and what they considered might have been done in the three months leading up to an admission to prevent it.

methodsThe study was conducted in a rural and a metropolitan health district in NSW, Australia. Expert Panels reviewed detailed case reports to assess preventability. For those admissions identified as preventable, comments from clinicians indicating what they perceived could have made a difference and/or been done differently to prevent each of the preventable admissions were analysed qualitatively.

results148 (46%) of 323 admissions were assessed as preventable. Across the two districts, the most commonly identified groups of contributing factors to preventable admissions were: 'Systems issues: Community based services missing or inadequate or not referred to'; 'Patient issues: Problems with adherence/self-management'; and 'Clinician issues: GP care inadequate'. In some instances, important differences drove these groups of factors. For example, in the rural district 'Systems issues: Community based services missing or inadequate or not referred to' was largely driven by social and welfare support services missing/inadequate/not referred to, whereas in the metropolitan district it was largely driven by community nursing, allied health, care coordination or integrated care services missing/inadequate/not referred to. Analyses revealed the complexity of system, clinician and patient factors contributing to each admission. Admissions for COPD (rural) and CHF (metropolitan) admissions showed greatest complexity. DISCUSSION AND

conclusionThese findings suggest preventability of individual admissions is complex and context specific. There is no single, simple solution likely to reduce PPH. Rather, an approach addressing multiple factors is required. This need for comprehensiveness may explain why many programs seeking to reduce PPH have been unsuccessful.

Indexed as

Chronic DiseaseAgedAged, 80 and overFemaleHumansMaleMiddle AgedPatient AdmissionRural PopulationSurveys and QuestionnairesUrban Population

Identifiers

PMID33411717
PMCPMC7790391
OpenAlexW3121012283

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.