title: Adherence to home-monitoring and its impact on survival in post-lung transplantation patients.
abstract: A home-monitoring program can be an important part of the follow-up care after lung transplantation surgery. We report mortality data from the home-monitoring program at University of Minnesota. The data from 246 lung recipients who participated in the home-monitoring program from 1992 to 2002 were analyzed. Subjects first year adherence rates were correlated with survival using a Cox proportional hazards model. The analysis showed a hazard ratio of 0.744, (95% CI 0.338-1.635). Kaplan-Meier survival analysis comparing the high adherence group( adherence rate > 75%) and the lower adherence group (adherence rate <= 75%) showed a tendency toward better survival, but again, it did not reach statistical significance (p=0.24). Competing risks analysis for causes of death showed a decreased risk ratio of 0.416 (95% CI 0.123-1.407) among pulmonary related mortality.
authors.affiliation: University of Minnesota, Minneapolis, MN, USA.
authors.forename: Hojung J
authors.initials: HJ
authors.lastname: Yoon
authors.forename: Hojung Joseph
authors.initials: HJ
authors.lastname: Yoon
authors.forename: Hongfei
authors.initials: H
authors.lastname: Guo
authors.forename: Marshall
authors.initials: M
authors.lastname: Hertz
authors.forename: Marshall I
authors.initials: MI
authors.lastname: Hertz
authors.forename: Stanley
authors.initials: S
authors.lastname: Finkelstein
authors.forename: Stanley M
authors.initials: SM
authors.lastname: Finkelstein
mesh_terms: D006801:Humans; D015994:Incidence; D016040:Lung Transplantation / Q000401:mortality*; D008910:Minnesota; D017063:Outcome Assessment, Health Care; D010349:Patient Compliance / Q000706:statistics & numerical data*; D016016:Proportional Hazards Models; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D012648:Self Care / Q000401:mortality* / Q000706:statistics & numerical data*; D016019:Survival Analysis; D015996:Survival Rate; D017216:Telemedicine / Q000706:statistics & numerical data*