Dialysis "no-shows" on saturdays: implications of the weekly hemodialysis schedules on nonadherence and outcomes.
BACKGROUND
The prevalence of skipped hemodialysis or no-show is higher among African Americans, younger Sages, smokers and illicit drug users. The effect of the weekly hemodialysis treatment schedules (Mondays, Wednesdays, Fridays (MWF); or Tuesdays, Thursdays, Saturdays (TTS)] on adherence is unknown.


METHODS
Our hemodialysis patients were prospectively monitored for compliance over a 12-month duration. Regression analyses were employed for associations between variables and outcomes.


RESULTS
A total of 114 African-American patients-mean age 55 +/- 14 and 53% male--were surveyed. Compared to the MWF, the TTS patients had higher rates of no show (2.4% vs. 1.7%, p = NS); shortened hemodialysis time (30% vs. 26%, p = NS); cocaine use (18% vs. 8%, p = 0.09); higher interdialytic weight gain 14.3 +/- 1.8 kg vs. 3.4 +/-1.3 kg, p = 0.005); prolonged length of hospital stay (9 +/- 12 days vs. 4 +/- 5 days, p = 0.02); and higher mortality (16% vs. 8%, p = NS). Compared to other days of the week, the Saturday no-show rate was significantly higher: 31% vs. 13%, 15%, 16%, 17%, 8%, Monday through Friday, respectively. Length of hospital stay correlated with no show (R2 = 0.4, p < 0.0001), while early termination was associated with smoking, cocaine use, female gender, TTS schedule, low serum albumin, hematocrit and adequacy of dialysis (Kt/V) (R2 = 0.6, p = 0.009).


CONCLUSIONS
The TTS-scheduled hemodialysis patients are less adherent, and have higher morbidity than the MWF Spatients and a predilection for skipping on Saturdays.
Obialo
Chamberlain I
CI
Renal Section, Department of Medicine , Morehouse School of Medicine, Atlanta, GA 30310, USA. cobialo@msm.edu
Bashir
Khalid
K
Goring
Sharon
S
Robinson
Beverly
B
Quarshie
Alexander
A
Al-Mahmoud
Ahmad
A
Alexander-Squires
Judith
J
D000328:Adult; D000368:Aged; D001071:Appointments and Schedules; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D015995:Prevalence; D011446:Prospective Studies; D012044:Regression Analysis; D006435:Renal Dialysis / Q000706:statistics & numerical data*; D013997:Time Factors; D016312:Treatment Refusal / Q000706:statistics & numerical data*