Evidence Hub

Predicting the number of headache visits by type of patient seen in family practice

Hasse LA, Ritchey PN, Smith R

Headache, 2002

4,112 participants

Abstract

OBJECTIVES: To examine the number of visits involving a headache diagnosis among patients to four family practice sites between July 1, 1995 and December 31, 1998.

BACKGROUND: Although the majority of care-seeking headache sufferers are seen in the primary care setting, few studies have attempted to document the relationship between type of headache as diagnosed by the family practice physician, and number of the patient's headache visits. Design.-Secondary analysis of administrative claims data.

METHODS: We compared headache visits per person-year by the age and sex of patient among patients classified according to headache diagnosis received: tension-type only; headache not otherwise specified (NOS) only; migraine only; tension-type and headache NOS; tension-type and migraine; headache NOS and migraine, and migraine, tension-type, and headache NOS. Patients with an International Classification of Diseases (version 9) code of 346 were considered to have a diagnosis of migraine, with 307.81 representing tension-type headache, and 784 representing headache NOS. Age was measured from date of birth to initial visit in the study period and patients were subdivided into 5-year age groups. Person-years "at risk" for each diagnosis was measured from the time of initial visit during the study period to December 31, 1998.

RESULTS: We examined data from 4112 patients who made 9322 visits with a headache diagnosis. We found that the average number of visits per person-year increases as…

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 4,112 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free