Evidence map›Paper›PMID 29866724›Full record

ArticleBMJ open2018

Pushing chronic care forward in Abu Dhabi by identifying priorities and addressing barriers: a modified Delphi technique.

Marília Silva Paulo, Tom Loney, Luis V Lapão

Erratum issuedAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Marília Silva PauloGlobal Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisboa, Portugal.ORCID 0000-0002-6982-8063
Tom LoneyCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Healthcare City, Dubai, United Arab Emirates.
Luis V LapãoGlobal Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisboa, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to elucidate the top five key priorities and barriers to chronic care in the health system of Abu Dhabi, United Arab Emirates (UAE).

designA modified Delphi study was performed to reach consensus on priority areas and barriers to the development of the Chronic Care Model in the health system of Abu Dhabi. Individual wireless audience response devices (keypads) linked to a computer were used to reduce 28 priorities and 20 barriers to the top five during three iterative rounds over three consecutive days.

settingChronic care services for patients with diabetes, cardiovascular diseases and cancer, in both private and publicly funded healthcare services in the emirate of Abu Dhabi.

participantsA purposive sample of 20 health systems' experts were recruited. They were front-line healthcare workers from the public and private sector working in the delivery of care for patients with diabetes, cardiovascular diseases and cancer.

resultsThe 'overall organizational leadership in chronic illness care' was ranked as the most important priority to address (26.3%) and 'patient compliance' was ranked as the most important barrier (36.8%) to the development of the Chronic Care Model.

conclusionsThis study has identified the current priorities and barriers to improving chronic care within Abu Dhabi's healthcare system. Our paper addresses the UAE's 2021 Agenda of achieving a world-class healthcare system, and findings may help inform strategic changes required to achieve this mission.

Indexed as

Models, OrganizationalPrimary Health CareChronic DiseaseDatabases, FactualDelivery of Health CareDelphi TechniqueHumansLong-Term CareUnited Arab Emirateshealth policyinternational health servicesorganisational developmentorganisation of health services

Identifiers

PMID29866724
PMCPMC5988158

What OpenQuestion holds

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LicenceCC BY-NC
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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.