Nephron Clinical Practice · 2013 · 42 citations · 8 references
MedicineNephrologyDialysisHemodialysisRenal Replacement TherapyChronic Kidney DiseaseEnd-stage Kidney Disease CareHemodialysis NursingRenal AssessmentRenal DiseaseConfidence Intervals For Odds RatiosPositive Predictive ValuePrognostic Prediction ModelsPrognostic ReasoningRegistered NursesSurprise EffectsSurvival In Dialysis
BACKGROUND/AIMS: The 'surprise question' (SQ) may aid timely identification of patients with end-of-life care needs. We assessed its prognostic value and variability among clinicians caring for a cohort of haemodialysis (HD) patients. METHODS: Clinicians (29 nurses and 6 nephrologists) in each of our 3 HD units were asked to pose the SQ concerning all patients dialysing in their unit. There were 344 patients, 116 in Unit 1, 132 in Unit 2 and 96 in Unit 3. RESULTS: An adverse SQ response: 'I would not be surprised if this patient were to die in the next 12 months' was reported by individual clinicians for between 6 and 43% of patients (mean 24 ± 9%). Nephrologists responded adversely for more patients than nurses did. Fifty-two patients died during the 12 months of follow-up. There were wide variations between clinicians in the predictive power of SQ responses. Mean odds ratios were significantly higher for nephrologists than for nurses. SQ responses of 49% of clinicians improved baseline models of 12-month mortality, more so for nephrologists (67%) than for senior nurses (50%) and nurses of lesser seniority (36%). Unit performance differed significantly. Agreements between clinicians on SQ responses improved the positive predictive value, i.e. the more clinicians agreed on an adverse response, the greater its predictive power. CONCLUSION: SQ provides a unique contribution to the prediction of short-term prognosis in HD patients, though predictive power varies with clinical discipline, seniority and clinical setting. Agreements between clinicians on adverse responses may have clinical utility.
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Effect of Dialysis Dose and Membrane Flux in Maintenance Hemodialysis
Garabed Eknoyan, Gerald J. Beck, Alfred K. Cheung et al. · New England Journal of Medicine · 2002 · 1.9K citations · Full text
Medicine, Nephrology, Dialysis +16
End-of-Life Care Preferences and Needs
Sara N. Davison · Clinical Journal of the American Society of Nephrology · 2010 · 626 citations · Full text
Nursing, Health Policy, Nephrology +16