Literature DB >> 10491231

Methods for analyzing referral patterns.

M E Cowen1, M W Zodet.   

Abstract

OBJECTIVE: To develop a sound method to identify patient and physician characteristics that influence specialty referrals.
DESIGN: A retrospective cohort analysis of medical claims data from 1996 supplemented with surveys of primary care physicians.
SETTING: A 600-member independent practice association in southeastern Michigan that provided care for 90,000 members of an HMO. PATIENTS: Five cohorts, each of 2,000 to 6,000 patients with diagnoses that could be referred to cardiologists, ophthalmologists, pulmonologists, orthopedists, or general surgeons. MAIN
RESULTS: The referral rates for the different cohorts ranged from 1% to 7%. The discriminatory ability of the multivariate logistic models (c-statistic) ranged from 0.66 to 0.79. The likelihood of referral was associated with the patient's diagnoses and medications and with the referring physician's age, years out of medical school, satisfaction with the specialty being referred to, and the importance of making or confirming a diagnosis.
CONCLUSIONS: Because these methods were not difficult to implement and the results were credible, we believe that other organizations should be able to use them.

Entities:  

Mesh:

Year:  1999        PMID: 10491231      PMCID: PMC1496725          DOI: 10.1046/j.1525-1497.1999.06368.x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  26 in total

1.  Use of written cases to study factors associated with regional variations in referral rates.

Authors:  G R Langley; D L Tritchler; H A Llewellyn-Thomas; J E Till
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

2.  Referral and consultation in primary care: do we understand what we're doing?

Authors:  P A Nutting; P Franks; C M Clancy
Journal:  J Fam Pract       Date:  1992-07       Impact factor: 0.493

3.  Attitudes to risk taking in medical decision making among British, Dutch and Belgian general practitioners.

Authors:  R Grol; M Whitfield; J De Maeseneer; H Mokkink
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Review 4.  Explaining variation in general practitioner referrals to hospital.

Authors:  D Wilkin; A Smith
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5.  Evaluating the yield of medical tests.

Authors:  F E Harrell; R M Califf; D B Pryor; K L Lee; R A Rosati
Journal:  JAMA       Date:  1982-05-14       Impact factor: 56.272

6.  General practitioners' referrals to specialist outpatient clinics. I. Why general practitioners refer patients to specialist outpatient clinics.

Authors:  A Coulter; A Noone; M Goldacre
Journal:  BMJ       Date:  1989-07-29

7.  Regression models for prognostic prediction: advantages, problems, and suggested solutions.

Authors:  F E Harrell; K L Lee; D B Matchar; T A Reichert
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8.  Are referrals by general practitioners influenced by the availability of consultants?

Authors:  M Roland; R Morris
Journal:  BMJ       Date:  1988-09-03

9.  Development and application of a population-oriented measure of ambulatory care case-mix.

Authors:  J P Weiner; B H Starfield; D M Steinwachs; L M Mumford
Journal:  Med Care       Date:  1991-05       Impact factor: 2.983

10.  The internist as gatekeeper. Preparing the general internist for a new role.

Authors:  J M Eisenberg
Journal:  Ann Intern Med       Date:  1985-04       Impact factor: 25.391

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2.  Do neurologists and primary care physicians agree on the extent of specialty involvement of patients referred to neurologists?

Authors:  Kari Swarztrauber; Barbara G Vickrey
Journal:  J Gen Intern Med       Date:  2004-06       Impact factor: 5.128

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4.  Management decisions in nontraumatic complaints of arm, neck, and shoulder in general practice.

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Review 5.  Performance measures of the specialty referral process: a systematic review of the literature.

Authors:  James P Guevara; Diane Hsu; Christopher B Forrest
Journal:  BMC Health Serv Res       Date:  2011-07-13       Impact factor: 2.655

  5 in total

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