Evidence map›Paper›PMID 28634586›Full record

SynthesisJournal of diabetes research2017

The Referral System between Primary and Secondary Health Care in Saudi Arabia for Patients with Type 2 Diabetes: A Systematic Review.

Mohammed Senitan, Ali Hassan Alhaiti, James Gillespie, Badar Faiz Alotaibi, George Binh Lenon

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of diabetes research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Mohammed SenitanDepartment of Public Health, Faculty of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia.
Ali Hassan AlhaitiNursing Education Departments, King Fahad Medical City, Riyadh, Saudi Arabia.
James GillespieMenzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
Badar Faiz AlotaibiAdult Emergency Department, King Fahad Medical City, Riyadh, Saudi Arabia.
George Binh LenonSchool of Health and Biomedical Sciences, RMIT University, Bundoora West Campus, Bundoora, VIC 3083, Australia.ORCID 0000-0002-1315-5242

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Saudi Arabia, the mortality of diabetes is currently reported at 6%. A well-administered referral system is crucial in aiding the management of this disease.

methodA single reviewer employed a systematic approach to searching the literature databases with regard to the question: what are the attributes of referral systems in Saudi Arabia for patients with type 2 diabetes (T2D)? The results were analysed in order to provide recommendations to improve the Saudi health system.

resultsTwelve primary studies were identified from a systematic search. Overall, the 12 studies did not clearly mention any of the factors of a good referral system. The referral problems identified by this study included patients' unnecessary requests for referral, unstructured referral letters, and unclear dissemination guidelines for referral.

conclusionsThis research attempted to identify the efficiency of the referral processes that were implemented for patients with T2D. The majority of the included studies were completely silent on the main referral factors for patients. If this review is representative of the referral system in Saudi Arabia, then, in the context of T2D, current referrals are unsafe. Further research on the quality of the referral system, taking into account at least some of the WHO referral guidelines, is required.

Indexed as

Referral and ConsultationDiabetes Mellitus, Type 2HumansPrimary Health CareSaudi Arabia

Identifiers

PMID28634586
PMCPMC5467390

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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.