PT  - JOURNAL ARTICLE
AU  - Margaret M. Eberl
AU  - Robert L. Phillips, Jr
AU  - Henk Lamberts
AU  - Inge Okkes
AU  - Martin C. Mahoney
TI  - Characterizing Breast Symptoms in Family Practice
AID  - 10.1370/afm.905
DP  - 2008 Nov 01
TA  - The Annals of Family Medicine
PG  - 528--533
VI  - 6
IP  - 6
4099  - http://www.annfammed.org/content/6/6/528.short
4100  - http://www.annfammed.org/content/6/6/528.full
SO  - Ann Fam Med2008 Nov 01; 6
AB  - PURPOSE The frequency and outcome of breast symptoms have not been well characterized in primary care settings. To enhance and inform physician practice, this study aims to establish the proportion of visits and resultant diagnoses by age by examining longitudinal data on breast-related reasons for encounter. METHODS We used data from a prospective longitudinal sample of patients seeking care in Dutch family physician offices between 1985 and 2003 to provide routine family practice data on breast symptoms as the reason for encounter; all visits were coded using the International Classification of Primary Care. Data on breast symptom prevalence are based upon 84,285 active female patients and 367,834 total encounters. RESULTS Overall breast symptoms were reported in about 3% of all visits by female patients (29.7 per 1,000 active female patients per year); breast pain and breast mass were the most common breast-related complaints. Breast symptom complaints were highest among women aged 25 to 44 years (48 of 1,000) and among women aged 65 years and older (33 per 1,000). Of the women complaining of breast symptoms, 81 (3.2%) had breast cancer diagnosed. Breast mass had a markedly elevated positive likelihood ratio for breast cancer (15.04; 95% confidence interval, 11.74–19.28). CONCLUSIONS As expected, of patients with breast symptoms only a small subset was subsequently given a diagnosis of breast cancer (3.2%); however, the presence of a breast mass was associated with an elevated likelihood of breast cancer. These data illustrate the use of systematic data collection and classification from primary care offices to extract information regarding disease symptoms and diagnoses.