Trends and predictors of publicly subsidized chiropractic service use among adults age 50+.
OBJECTIVE
This article examines trends in and predictors of publicly subsidized chiropractic use from 1991 to 2000, a decade characterized by health care system reforms throughout North America.


METHODS
The sample included adults age 50+ who visited a publicly subsidized chiropractor in the Canadian province of British Columbia during the study period.


METHODS
Administrative claims data for chiropractic service use were drawn from the Medical Services Plan (MSP) Master file in the British Columbia Linked Health Data resource. The MSP Master file contains claims reported for every provincially insured medical service and supplementary health benefit including chiropractic visits.


RESULTS
Joinpoint regression analyses demonstrate that while annual rates of chiropractic users did not change over the decade, visit rates decreased during this period. Predictors of a greater number of chiropractic visits include increasing age, female gender, urban residence, low to moderate income, and use of chiropractic services earlier in the decade.


CONCLUSIONS
The trend toward decreasing visit rates over the 1990s both conflicts with and is consistent with findings from other North American chiropractic studies using similar time periods. Results indicating that low and moderate income and advancing age predict more frequent chiropractic service are novel. However, given that lower income and older individuals were exempted from chiropractic service limits during this period, these results suggest support for the responsive nature of chiropractic use to financial barriers.
Votova
Kristine
K
Department of Sociology and Centre on Aging, University of Victoria, Victoria, BC, Canada.
Penning
Margaret J
MJ
Zheng
Chi
C
Brackley
Moyra E
ME
D000367:Age Factors; D000368:Aged; D001955:British Columbia; D002684:Chiropractic / Q000191:economics / Q000706:statistics & numerical data / Q000639:trends*; D005260:Female; D006801:Humans; D007182:Income; D008297:Male; D008875:Middle Aged; D009313:National Health Programs; D009819:Office Visits / Q000191:economics / Q000706:statistics & numerical data / Q000639:trends; D012044:Regression Analysis; D012737:Sex Factors; D014505:Urban Population