Evidence map›Paper›PMID 32800014›Full record

ArticlePrimary health care research & development2019

Does characterising patterns of multimorbidity in stroke matter for developing collaborative care approaches in primary care?

Maria Raisa Jessica Ryc V Aquino, Grace M Turner, Jonathan Mant

Open access · goldAbstract read
In one paragraph

Article in Primary health care research & development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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, 4 citations in OpenAlex.

  1. Trial
  2. Article
  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

3 authors at 2 institutions in 1 country.

Maria Raisa Jessica Ryc V AquinoResearch Associate, Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-3989-1221
Grace M TurnerResearch Fellow, Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
Jonathan MantProfessor of Primary Care Research, Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, UK.
University of Cambridge · GBUniversity of Birmingham · GB

Funding

Department of Health PDF-2017-10-047
6 · The paper itself

Abstract

Stroke and transient ischaemic attack (TIA) remain leading causes of mortality and morbidity globally. Although mortality rates have been in decline, the number of people affected by stroke has risen. These patients have a range of long-term needs and often present to primary care. Furthermore, many of these patients have multimorbidities which increase the complexity of their healthcare. Long-term impacts from stroke/TIA along with care needs for other morbidities can be challenging to address because care can involve different healthcare professionals, both specialist and generalist. In the ideal model of care, such professionals would work collaboratively to provide care. Despite the commonality of multimorbidity in stroke/TIA, gaps in the literature remain, particularly limited knowledge of pairings or clusters of comorbid conditions and the extent to which these are interrelated. Moreover, integrated care practices are less well understood and remain variable in practice. This article argues that it is important to understand (through research) patterns of multimorbidity, including number, common clusters and types of comorbidities, and current interprofessional practice to inform future directions to improve long-term care.

Indexed as

Intersectoral CollaborationAdultAgedAged, 80 and overFemaleForecastingHumansMaleMiddle AgedMultimorbidityPatient Care TeamPrimary Health CareStrokeintegrated careinterprofessional collaborationmultimorbiditystroketransient ischaemic attack

Identifiers

PMID32800014
PMCPMC6635803
OpenAlexW2944236047

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.