Fadi A. Tohme|Maria K. Mor|Julio E. Pena-Polanco|Jamie A. Green|Michael J. Fine|Paul M. Palevsky|Steven D. Weisbord
Predictors and outcomes of non-adherence in patients receiving maintenance hemodialysis
University of Pittsburgh|University of Pittsburgh|VA Pittsburgh Healthcare System|University of Pittsburgh|Geisinger Medical Center|University of Pittsburgh|VA Pittsburgh Healthcare System|University of Pittsburgh|VA Pittsburgh Healthcare System|VA Pittsburgh Healthcare System|University of Pittsburgh
predictors outcomes associated nonadherent behavior among patients chronic hemodialysis hd incompletely elucidated conducted post hoc analysis data smile trial identify patient factors associated nonadherence dialysisrelated treatments associations nonadherence clinical outcomes defined nonadherence missed hd abbreviated hd used negative binomial regression model associations demographic clinical factors measures nonadherence negative binomial cox regression analyze associations nonadherence hospitalizations mortality respectively followed 286 patients 24 months factors independently associated missing hd included tuesdaythursdaysaturday hd schedule incident rate ratio irr 185 p 001 current smoking irr 222 p 001 higher pain score irr 104 p 001 lower healthy literacy irr 301 p 001 lower baseline quality life irr 089 p 001 younger age irr 135 p 001 factors independently associated abbreviating hd included dialysis vintage irr 107 p 001 higher pain score irr 102 p 001 current nonsmoking irr 132 p 003 younger age irr 122 p 001 abbreviating hd independently associated increased number total irr 170 p 001 esrdrelated irr 166 p 001 hospitalizations missing hd independently associated mortality hr 236 p 004 identified several previously described novel factors independently associated nonadherence hdrelated treatments independent associations nonadherence hospitalization mortality findings inform development implementation interventions improve adherence reduce health resource utilization