Eliciting regret improves decision making at the end of life. (November 2016)
- Record Type:
- Journal Article
- Title:
- Eliciting regret improves decision making at the end of life. (November 2016)
- Main Title:
- Eliciting regret improves decision making at the end of life
- Authors:
- Djulbegovic, Benjamin
Tsalatsanis, Athanasios
Mhaskar, Rahul
Hozo, Iztok
Miladinovic, Branko
Tuch, Howard - Abstract:
- Abstract: Introduction: Management choices at the end of life are high-stake decisions fraught with emotions, chief among is regret. Our objective in this paper is to test the utility of a regret-based model to facilitate referral to hospice care while helping patients clarify their preferences on how they wish to spend the remaining days of their lives. Methods: A prospective cohort study that enrolled consecutive adult patients (n = 178) aware of the terminal nature of their disease. The patients were at the point in care where they had to decide between continuing potentially 'curative/life-prolonging' treatment (Rx) versus hospice care. Preferences were elicited using a Dual Visual Analog Scale regarding the level of regret of omission versus commission (RgO/RgC) towards hospice care and Rx. Each patient's RgO/RgC was contrasted against the predictive probability of death to suggest a management plan, which was then compared with the patient's actual choice. The probability of death was estimated using validated Palliative Performance Scale predictive model. Results: Eighty-five percent (151/178) of patients agreed with the model's recommendations (p < 0.000001). Model predicted the actual choices for 72% (128/178) of patients (p < 0.00001). Logistic regression analysis showed that people who were initially inclined to be referred to hospice and were predicted to choose hospice over disease-directed treatment by the regret model have close to 98% probability of choosingAbstract: Introduction: Management choices at the end of life are high-stake decisions fraught with emotions, chief among is regret. Our objective in this paper is to test the utility of a regret-based model to facilitate referral to hospice care while helping patients clarify their preferences on how they wish to spend the remaining days of their lives. Methods: A prospective cohort study that enrolled consecutive adult patients (n = 178) aware of the terminal nature of their disease. The patients were at the point in care where they had to decide between continuing potentially 'curative/life-prolonging' treatment (Rx) versus hospice care. Preferences were elicited using a Dual Visual Analog Scale regarding the level of regret of omission versus commission (RgO/RgC) towards hospice care and Rx. Each patient's RgO/RgC was contrasted against the predictive probability of death to suggest a management plan, which was then compared with the patient's actual choice. The probability of death was estimated using validated Palliative Performance Scale predictive model. Results: Eighty-five percent (151/178) of patients agreed with the model's recommendations (p < 0.000001). Model predicted the actual choices for 72% (128/178) of patients (p < 0.00001). Logistic regression analysis showed that people who were initially inclined to be referred to hospice and were predicted to choose hospice over disease-directed treatment by the regret model have close to 98% probability of choosing hospice care at the end of their lives. No other factors (age, gender, race, educational status and pain level) affected their choice. Conclusions: Using regret to elicit choices in the end-of-life setting is both descriptively and prescriptively valid. People with terminal disease who are initially inclined to choose hospice and do not regret such a choice will select hospice care with high level of certainty. Highlights: End-of-life decisions are fraught with emotions chief among is regret. A regret-based model can facilitate end-of-life choices and hospice referral. Eighty-five percent of patients agreed with the model's recommendations. The regret model predicted actual choices for 72% of patients. The regret model is both descriptively and prescriptively valid. … (more)
- Is Part Of:
- European journal of cancer. Volume 68(2016)
- Journal:
- European journal of cancer
- Issue:
- Volume 68(2016)
- Issue Display:
- Volume 68, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 68
- Issue:
- 2016
- Issue Sort Value:
- 2016-0068-2016-0000
- Page Start:
- 27
- Page End:
- 37
- Publication Date:
- 2016-11
- Subjects:
- Hospice referral -- Decisions at end of life -- Regret theory
Cancer -- Periodicals
Neoplasms -- Periodicals
Cancer -- Périodiques
Cancer
Tumors
Electronic journals
Periodicals
Electronic journals
616.994 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09598049 ↗
http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=2879 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/09598049 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/09598049 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ejca.2016.08.027 ↗
- Languages:
- English
- ISSNs:
- 0959-8049
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3829.725100
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 1749.xml