Polypharmacy among nursing home geriatric Medicaid recipients.
OBJECTIVE
To determine the factors that influence the number of different drugs prescribed to geriatric Medicaid recipients residing in Louisiana's intermediate care facilities I (ICFs I).


METHODS
Observational and cross-sectional with descriptive and analytic components.


METHODS
All geriatric Medicaid recipients in Louisiana ICFs I during 1994 (n = 19932).


METHODS
Relevant data on sex, age, race, geographic region of a recipient, number of prescribing physicians, number of pharmacies used, and the number of drugs prescribed to a recipient were extracted from the state Medicaid files. Frequencies for the seven study variables were calculated. Regression analysis was used to evaluate the influence of the six predictor variables on the number of drugs prescribed.


RESULTS
The study population was 73.63% women, 60.07% 81 years of age and older, 70.65% white, 23.21% African-American, 6.14% other races, and 29.83% from predominantly rural north Louisiana. A total of 44.60% of the residents received prescriptions from one physician, 8.41% of the residents were single pharmacy users, and 45.65% were prescribed more than 10 drugs during the year. The regression model accounted for 20.53% of the total variation in the number of drugs prescribed to a recipient. Race, geographic region, number of prescribing physicians, and number of pharmacies used by a recipient influenced the number of drugs prescribed.


CONCLUSIONS
To reduce the number of drugs prescribed and polypharmacy among geriatric Medicaid recipients, Louisiana's ICFs I should minimize the number of physicians and pharmacies used in this population.
Gupta
S
S
Roche Laboratories, Nutley, NJ 07110, USA.
Rappaport
H M
HM
Bennett
L T
LT
D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008145:Louisiana / Q000208:ethnology; D008297:Male; D008484:Medicaid; D009735:Nursing Homes / Q000706:statistics & numerical data*; D019338:Polypharmacy; D012044:Regression Analysis; D014481:United States