Physician and patient predictors of health maintenance visits.
BACKGROUND
Because of a strong association between health maintenance visits (HMVs) and cancer screening, knowledge of the predictors of an HMV have implications for screening.


OBJECTIVE
To examine the association of an HMV with patient, physician, and practice characteristics in the primary care setting.


METHODS
A statewide study of cancer screening was conducted in Colorado to determine concordance with the National Cancer Institute's guidelines for screening for breast, cervical, prostate, and skin cancer. Medical records form patients were randomly chosen from primary care practices. Predictors of an HMV were determined by fitting a logistic model to baseline data, adjusting for the cluster sampling of patients within practices.


METHODS
Nonacademic primary care practices in Colorado.


METHODS
A total of 5746 patients aged 42 to 74 years from 132 primary care practices.


METHODS
Whether a patient had an HMV in the previous year.


RESULTS
Of all patients, 31% had an HMV in the previous year. Patient characteristics associated with having HMVs included nonsmoking status, odds ratio (OR) (95% confidence interval [CI]) of 1.27 (1.11-1.46), age, and sex. Women aged 50 to 69 years were significantly more likely to have an HMV than men aged 50 to 69 years (OR, 1.30; 95% CI, 1.10-1.54). Among adults aged 70 years and older, there were no significant sex differences in receiving HMVs. Physician and practice characteristics associated with providing HMVs included practice size (> or = 3 full-time physicians) (OR, 1.34; 95% CI, 1.01-1.77), physician contemplation of changing approaches to cancer screening (OR, 1.33; 95% CI, 1.04-1.70), and physician female sex (OR, 1.33; 95% CI, 1.04-1.70). Physician age and specialty (general internist or family physician) were not associated with the level of health maintenance delivery.


CONCLUSIONS
Certain subgroups, such as smokers, patients in smaller practices, and physicians not yet considering changing their approach to cancer screening, could be targeted in future intervention studies designed to provide preventive services in primary care settings.
Preisser
J S
JS
Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA. jpreisse@rc.phs.wfubmc.edu
Cohen
S J
SJ
Wofford
J L
JL
Moran
W P
WP
Shelton
B J
BJ
McClatchey
M W
MW
Wolfe
P
P
D000328:Adult; D017677:Age Distribution; D000368:Aged; D003120:Colorado; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008403:Mass Screening / Q000706:statistics & numerical data*; D008875:Middle Aged; D009369:Neoplasms / Q000517:prevention & control*; D010349:Patient Compliance; D010818:Practice Patterns, Physicians'; D011320:Primary Health Care; D017678:Sex Distribution; D011795:Surveys and Questionnaires