Alison E Turnbull1, Sarina K Sahetya2, Elizabeth Colantuoni3, Josephine Kweku4, Roozbeh Nikooie5, J Randall Curtis6. 1. Outcomes After Critical Illness and Surgery Group, Johns Hopkins University, Baltimore, Maryland, USA; Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. Electronic address: turnbull@jhmi.edu. 2. Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA. 3. Outcomes After Critical Illness and Surgery Group, Johns Hopkins University, Baltimore, Maryland, USA; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. 4. Department of Anesthesiology and Critical Care, Anne Arundel Medical Center, Annapolis, Maryland, USA. 5. Outcomes After Critical Illness and Surgery Group, Johns Hopkins University, Baltimore, Maryland, USA. 6. Division of Pulmonary and Critical Care Medicine, Harborview Medical Center, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence, University of Washington, Seattle, Washington, USA.
Abstract
CONTEXT: Goal-concordant care has been identified as an important outcome of advance care planning and shared decision-making initiatives. However, validated methods for measuring goal concordance are needed. OBJECTIVES: To estimate the inter-rater reliability of senior critical care fellows rating the goal concordance of preference-sensitive interventions performed in intensive care units (ICUs) while considering patient-specific circumstances as described in a previously proposed methodology. METHODS: We identified ICU patients receiving preference-sensitive interventions in three adult ICUs at Johns Hopkins Hospital. A simulated cohort was created by randomly assigning each patient one of 10 sets of goals and preferences about limiting life support. Critical care fellows then independently reviewed patient charts and answered two questions: 1) Is this patient's goal achievable? and 2) Will performing this intervention help achieve the patient's goal? When the answer to both questions was yes, the intervention was rated as goal concordant. Inter-rater agreement was summarized by estimating intraclass correlation coefficient using mixed-effects models. RESULTS: Six raters reviewed the charts of 201 patients. Interventions were rated as goal concordant 22%-92% of the time depending on the patient's goal-limitation combination. Percent agreement between pairs of raters ranged from 59% to 86%. The intraclass correlation coefficient for ratings of goal concordance was 0.50 (95% CI 0.31-0.69) and was robust to patient age, gender, ICU, severity of illness, and lengths of stay. CONCLUSION: Inter-rater agreement between intensivists using a standardized methodology to evaluate the goal concordance of preference-sensitive ICU interventions was moderate. Further testing is needed before this methodology can be recommended as a clinical research outcome.
CONTEXT: Goal-concordant care has been identified as an important outcome of advance care planning and shared decision-making initiatives. However, validated methods for measuring goal concordance are needed. OBJECTIVES: To estimate the inter-rater reliability of senior critical care fellows rating the goal concordance of preference-sensitive interventions performed in intensive care units (ICUs) while considering patient-specific circumstances as described in a previously proposed methodology. METHODS: We identified ICU patients receiving preference-sensitive interventions in three adult ICUs at Johns Hopkins Hospital. A simulated cohort was created by randomly assigning each patient one of 10 sets of goals and preferences about limiting life support. Critical care fellows then independently reviewed patient charts and answered two questions: 1) Is this patient's goal achievable? and 2) Will performing this intervention help achieve the patient's goal? When the answer to both questions was yes, the intervention was rated as goal concordant. Inter-rater agreement was summarized by estimating intraclass correlation coefficient using mixed-effects models. RESULTS: Six raters reviewed the charts of 201 patients. Interventions were rated as goal concordant 22%-92% of the time depending on the patient's goal-limitation combination. Percent agreement between pairs of raters ranged from 59% to 86%. The intraclass correlation coefficient for ratings of goal concordance was 0.50 (95% CI 0.31-0.69) and was robust to patient age, gender, ICU, severity of illness, and lengths of stay. CONCLUSION: Inter-rater agreement between intensivists using a standardized methodology to evaluate the goal concordance of preference-sensitive ICU interventions was moderate. Further testing is needed before this methodology can be recommended as a clinical research outcome.
Authors: Lauris C Kaldjian; Ann E Curtis; Laura A Shinkunas; Katrina T Cannon Journal: Am J Hosp Palliat Care Date: 2008 Dec-2009 Jan Impact factor: 2.500
Authors: Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde Journal: J Biomed Inform Date: 2008-09-30 Impact factor: 6.317
Authors: Alexander A Kon; Judy E Davidson; Wynne Morrison; Marion Danis; Douglas B White Journal: Am J Respir Crit Care Med Date: 2016-06-15 Impact factor: 21.405
Authors: Daren K Heyland; Doris Barwich; Deb Pichora; Peter Dodek; Francois Lamontagne; John J You; Carolyn Tayler; Pat Porterfield; Tasnim Sinuff; Jessica Simon Journal: JAMA Intern Med Date: 2013-05-13 Impact factor: 21.873
Authors: Jane C Weeks; Paul J Catalano; Angel Cronin; Matthew D Finkelman; Jennifer W Mack; Nancy L Keating; Deborah Schrag Journal: N Engl J Med Date: 2012-10-25 Impact factor: 91.245
Authors: Peter E Spronk; Alexej V Kuiper; Johannes H Rommes; Joke C Korevaar; Marcus J Schultz Journal: Anesth Analg Date: 2009-09 Impact factor: 5.108
Authors: Colette Shaw; Roland L Bassett; Patricia S Fox; Kathleen M Schmeler; Michael J Overman; Michael J Wallace; Sanjay Gupta; Alda Tam Journal: Ann Surg Oncol Date: 2012-09-11 Impact factor: 5.344
Authors: Nita Khandelwal; Ann C Long; Robert Y Lee; Cara L McDermott; Ruth A Engelberg; J Randall Curtis Journal: Lancet Respir Med Date: 2019-05-20 Impact factor: 30.700
Authors: Matthew E Modes; Susan R Heckbert; Ruth A Engelberg; Elizabeth L Nielsen; J Randall Curtis; Erin K Kross Journal: J Pain Symptom Manage Date: 2020-05-07 Impact factor: 3.612
Authors: Katharine Secunda; M Jeanne Wirpsa; Kathy J Neely; Eytan Szmuilowicz; Gordon J Wood; Ellen Panozzo; Joan McGrath; Anne Levenson; Jonna Peterson; Elisa J Gordon; Jacqueline M Kruser Journal: J Gen Intern Med Date: 2019-10-21 Impact factor: 5.128
Authors: Stephanie Parks Taylor; Marc A Kowalkowski; Katherine R Courtright; Henry L Burke; Sangnya Patel; Samantha Hicks; Cristina Hurley; Stephen Mitchell; Scott D Halpern Journal: J Hosp Med Date: 2021-11 Impact factor: 2.960