ArticleBMJ open2023
Improving primary care referral to specialist services: a protocol for a 10-year global systematic review in the Australian context.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Accuracy of Artificial Intelligence for Gatekeeping in Referrals to Specialized Care.JAMA network open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionBarriers to accessing specialist services impart a significant burden on patient outcomes and experience as well as a cost and administrative burden on health systems due to healthcare wastage and inefficiencies. This paper outlines the planned protocol for a systematic review relating to how health systems perform with regard to patient access to specialist care, and the efficacy of interventions aimed at improving this. METHODS AND ANALYSIS: Systematic review of the literature will be carried out on publications retrieved by searching the following electronic literature databases: EBSCOhost Megafile Ultimate (Cumulative Index to Nursing and Allied Health Literature (CINAHL), Academic Search Ultimate, APA Psychological Abstracts (PsycINFO), HealthSource), PubMed (Medical Literature Analysis and Retrieval System Online (MEDLINE)), Elsevier Bibliographic Database (Scopus), Excerpta Medica Database (EMBASE), Web of Science and The Cochrane Library. Articles published over a 10-year period (2012-2022) will be analysed to determine; current accessibility and availability problems faced by primary care services when referring patients to specialist care, and the effectiveness of interventions to improve primary care access to specialist services. Grey literature publications (ie, government reports, policy statements and issues papers, conference proceedings) will not be analysed in this review. Articles not published in English, Spanish or Portuguese will not be included. Two independent reviewers will conduct the initial screening, disagreements will be resolved by a third independent reviewer, following which data extraction and selection of eligible sources will be carried out. Selected articles will be categorised on study design, setting and participants. Methodological quality and heterogeneity will subsequently be assessed using the Mixed Methods Appraisal Tool. A descriptive approach will be used to review and synthesise the findings. ETHICS AND DISSEMINATION: This study does not require ethics committee review as it solely focuses on analysing published literature. Findings will be published and disseminated through a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42022354890.
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Registered trials
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.