The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Variation in GP referral rates: what can we learn from the literature?
Abstract
BACKGROUND: Variations in referral rates exist, at GP and practice level. Although the National Institute for Clinical Excellence is to produce referral guidelines, it is unclear if this variation requires regulation. A critical review of the literature on variation in referral rates was undertaken to see if existing evidence could inform the debate. OBJECTIVES: The aim of this study was to describe the variation in referral rates; to identify likely explanatory variables; and to describe the effect of GPs' decision making on the referral process. METHODS: Six bibliographic databases, the Cochrane Library, the NHS Centre for Reviews and Dissemination, and the National Research Register were searched. RESULTS: Patient characteristics explain <40% of the observed variation; practice and GP characteristics <10%. The availability of specialist care does affect referral rates, but its influence on the observed variation of referral rates is not known. Intrinsic psychological variables are important. GPs who are less tolerant of uncertainty or who perceive serious disease to be a more frequent event may refer more patients. There is a lack of consensus about what constitutes an appropriate referral, and the use of guidelines has had only limited success in altering referral behaviour. CONCLUSIONS: Variation in referral rates remains largely unexplained. Targeting high or low referrers through clinical guidelines may not be the issue. Rather, activity should concentrate on increasing the number of appropriate referrals, regardless of the referral rate. Pressure on GPs to review their referral behaviour through the use of guidelines may reduce their willingness to tolerate uncertainty and manage problems in primary care, resulting in an increase in referrals to secondary care. The use of referral rates to stimulate dialogue and joint working between primary and secondary care may be more appropriate.
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Cites
Health and Deprivation: Inequality and the North
Townsend, P. D., Phillimore, P., & Beattie, A. (1987) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 1,473
Identification of underprivileged areas.
Jarman, B. (1983) · BMJ · doi:10.1136/bmj.286.6379.1705 · Cited by 880
HASLOCK, I. (1989) · Rheumatology · doi:10.1093/rheumatology/28.3.185 · Cited by 841
Brook, R. H., McGlynn, E. A., & Cleary, P. D. (1996) · New England Journal of Medicine · doi:10.1056/nejm199609263351311 · Cited by 769
Health and deprivation. Inequality and the North
Mackenbach, J. P. (1988) · Health Policy · doi:10.1016/0168-8510(88)90006-1 · Cited by 661
Underprivileged areas: validation and distribution of scores.
Jarman, B. (1984) · BMJ · doi:10.1136/bmj.289.6458.1587 · Cited by 422
COULTER, A., BRADLOW, J., AGASS, M., MARTIN‐BATES, C., & TULLOCH, A. (1991) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1991.tb13484.x · Cited by 195
The Challenges of Medical Practice Variations
(1990) · doi:10.1007/978-1-349-20781-7 · Cited by 186
Giuffrida, A., Gravelle, H., & Roland, M. (1999) · BMJ · doi:10.1136/bmj.319.7202.94 · Cited by 176
Coulter, A., Noone, A., & Goldacre, M. J. (1989) · BMJ · doi:10.1136/bmj.299.6694.304 · Cited by 127
Cited by
Governing the ethical consumer: identity, choice and the primary care medical encounter
McDonald, R., Mead, N., Cheraghi‐Sohi, S., Bower, P., Whalley, D., & Roland, M. (2007) · Sociology of Health & Illness · doi:10.1111/j.1467-9566.2007.00493.x · Cited by 78
Decisions about referrals for psychological therapies: a matched-patient qualitative study
Stavrou, S., Cape, J., & Barker, C. (2009) · British Journal of General Practice · doi:10.3399/bjgp09x454089 · Cited by 24
Metadata
- Authors
- O'Donnell, C. A.
- Venue
- Family Practice
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-12-01
- Volume
- 17
- Issue
- 6
- Pages
- 462-471
- ISSN
- 0263-2136 (ISSN-L)
- 1460-2229
- OpenAlex
- W1986336970
- Cited by
- 291
- References
- 42
- FWCI
- 5.91
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.