ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2026
Defining a theoretical framework for a quality referral at the primary-secondary care interface: a systematic scoping review with qualitative content analysis.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Reimagining the Referral to Wellness Services for Youth with Chronic Conditions as a Conversation: A Human-Centered Approach.Healthcare (Basel, Switzerland) · 2026Article
- Trends and inequalities in advice and guidance versus direct referral in NHS primary care, 2015-23: population based study.BMJ medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReferral from primary to secondary care is a crucial component of a GP's role, yet the quality of referrals varies widely. Inadequate referral information can delay patient care, compromise outcomes, and strain healthcare resources. There is currently no universally accepted framework for what constitutes a quality referral.
aimTo define a theoretical framework for high-quality referrals between primary and secondary care, and to identify key components of effective referral practice. DESIGN AND
settingA systematic scoping review using a systematic search of Embase, CINAHL, and Medline databases was conducted to identify research published between July 1999 and August 2024. A qualitative content analysis describing the quality of GP referrals was conducted following Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Review guidelines.
methodEligible studies included English-language publications with referral quality as a primary outcome, covering referrals from primary to secondary care. Studies were analysed inductively using qualitative content analysis to identify key attributes of effective referrals, which were grouped into overarching themes.
resultsThe search yielded 3461 studies; 54 were included in analysis. Four themes were identified: patient clinical characteristics (complete medical history, relevant investigations, and physical examination); clinical reasoning (clear referral indication, structured template use, guideline adherence, and appropriate urgency classification); patient factors (patient understanding, patient preference, and flow of information); and referral barriers (time constraints, limited specialty expertise, and educational needs). A quality-improvement checklist based on these findings was developed.
conclusionReferral letters must balance detail and usability, taking a pragmatic approach to ensure clinical reasoning, relevant history, and patient involvement are communicated clearly, while avoiding unnecessary administrative burden.
Indexed as
Identifiers
What OpenQuestion holds
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.