Longitudinal prescribing patterns in a nursing home population.
OBJECTIVE
This study documents the patients characteristics associated with prescribed medications on entry to a nursing home and the change in prescribing patterns after 3 months.


METHODS
One-year admission cohort.


METHODS
Three university-affiliated community nursing homes in Albuquerque, NM.


METHODS
All new admissions (n = 81) to a University geriatrics team, covering intermediate and skilled levels of care during 1 year (July 1, 1988-July 1, 1989).


METHODS
Outcome measures were scheduled and as-needed (PRN) medications prescribed at entry and 3 months. Data collected at entry included patient demographics, activities of daily living index, mental status score, and medical diagnoses.


RESULTS
Older persons were prescribed fewer scheduled medications than younger ones, and women fewer than men. There was a positive association between the number of diagnoses and the number of scheduled medications (r = 0.25, P = 0.02). No associations were found between medications prescribed and mental status or functional level. There were no associations between as-needed (PRN) medications and any of the variables studied. Overall, there was a significant increase in the average total number of medications prescribed between admission (4.7) and 3 months (6.2). This was due to an increase in the number of PRN medications from 1.3 at admission to 3.0 at 3 months (P less than 0.001).


CONCLUSIONS
Measuring medications at consistent points in a person's nursing home stay may be more informative than using cross-sectional sampling. Future studies on medications in nursing home populations should distinguish between PRN and scheduled medications because medication prescribing patterns may be different in these categories.
Wayne
S J
SJ
Department of Family, Community, and Emergency Medicine, University of New Mexico School of Medicine, Albuquerque 87131.
Rhyne
R L
RL
Stratton
M
M
D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D004363:Drug Utilization; D005260:Female; D006304:Health Status; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D009735:Nursing Homes; D012737:Sex Factors