BACKGROUND: Cessation of life-prolonging treatments precedes death in an increasing number of cases, but little attention has been accorded to the quality of dying. OBJECTIVE: To examine the quality of dying following dialysis termination. PATIENTS AND METHODS: A prospective cohort, observational study involved 6 dialysis clinics in the United States and 2 clinics in Canada, and 131 adult patients receiving maintenance dialysis who died after treatment cessation. Sixty percent (n = 79) underwent patient (n = 23) and/or family (n = 76) interviews and follow-up with caretakers. A quality of dying tool quantified duration, pain and suffering, and psychosocial factors. RESULTS: The sample was 59% female, the age was 70.0+/-1.2 years old, the duration of dialysis was 34.0+/-2.8 months, and death occurred 8.2+/-0.7 days after the last dialysis treatment. (Data are given as mean +/- SE.) Thirty-eight percent of the subjects who completed the protocol were judged to have had very good deaths, 47% had good deaths, and 15% had bad deaths. During the last day of life, 81% of the sample did not suffer, although 42% had some pain and an additional 5% had severe pain. According to the psychosocial domain of the quality of dying measure, patients who died at home or with hospice care had better deaths than those who died in a hospital or nursing home. CONCLUSIONS: Most deaths following withdrawal of dialysis were good or very good. The influence of site of death and physician attitudes about decisions to stop life support deserves more research attention. Quality of dying tools can be used to establish benchmarks for the provision of terminal care.
BACKGROUND: Cessation of life-prolonging treatments precedes death in an increasing number of cases, but little attention has been accorded to the quality of dying. OBJECTIVE: To examine the quality of dying following dialysis termination. PATIENTS AND METHODS: A prospective cohort, observational study involved 6 dialysis clinics in the United States and 2 clinics in Canada, and 131 adult patients receiving maintenance dialysis who died after treatment cessation. Sixty percent (n = 79) underwent patient (n = 23) and/or family (n = 76) interviews and follow-up with caretakers. A quality of dying tool quantified duration, pain and suffering, and psychosocial factors. RESULTS: The sample was 59% female, the age was 70.0+/-1.2 years old, the duration of dialysis was 34.0+/-2.8 months, and death occurred 8.2+/-0.7 days after the last dialysis treatment. (Data are given as mean +/- SE.) Thirty-eight percent of the subjects who completed the protocol were judged to have had very good deaths, 47% had good deaths, and 15% had bad deaths. During the last day of life, 81% of the sample did not suffer, although 42% had some pain and an additional 5% had severe pain. According to the psychosocial domain of the quality of dying measure, patients who died at home or with hospice care had better deaths than those who died in a hospital or nursing home. CONCLUSIONS: Most deaths following withdrawal of dialysis were good or very good. The influence of site of death and physician attitudes about decisions to stop life support deserves more research attention. Quality of dying tools can be used to establish benchmarks for the provision of terminal care.
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Keywords:
Death and Euthanasia; Empirical Approach
Authors: Dana R Lustbader; Judith E Nelson; David E Weissman; Ross M Hays; Anne C Mosenthal; Colleen Mulkerin; Kathleen A Puntillo; Daniel E Ray; Rick Bassett; Renee D Boss; Karen J Brasel; Margaret L Campbell; Therese B Cortez; J Randall Curtis Journal: Chest Date: 2012-03 Impact factor: 9.410
Authors: Jane O Schell; Michael J Germain; Fred O Finkelstein; James A Tulsky; Lewis M Cohen Journal: Adv Chronic Kidney Dis Date: 2010-07 Impact factor: 3.620
Authors: Joy Chieh-Yu Chen; Bjorg Thorsteinsdottir; Lisa E Vaughan; Molly A Feely; Robert C Albright; Macaulay Onuigbo; Suzanne M Norby; Christy L Gossett; Margaret M D'Uscio; Amy W Williams; John J Dillon; LaTonya J Hickson Journal: Clin J Am Soc Nephrol Date: 2018-07-19 Impact factor: 8.237