DOES SOCIETY WISH TO PLACE GREATER
WEIGHT ON A UNIT OF HEALTH GAIN FOR
END OF LIFE PATIENTS THAN ON THAT FOR
OTHER TYPES OF PATIENTS?
Koonal Shah (Office of Health Economics, UK; University of Sheffield, UK)
Aki Tsuchiya (University of Sheffield, UK); Allan Wailoo (University of Sheffield, UK)
For further information, contact Koonal Shah – kshah@ohe.org
METHODS
• Primary source of data: electronic search of the Social Sciences Citation
Index (Web of Science), with follow-up of reference lists
• Search strategy: ("end of life" OR severity OR terminal OR “life
expectancy”) AND preferences AND health AND (respondents OR subjects
OR participants OR sampl*)
• To be included, articles had to meet the following sequential criteria:
1. Publication: must be published in English in a peer-reviewed source
2. Empirical data: must review, present or analyse empirical data
3. Priority-setting context: must relate to a health care priority-setting
or resource allocation context
4. Stated preference data: must report preferences that were elicited in
a hypothetical, stated context using a approach involving trade-offs
5. End of life: must address the topic of giving priority to end of life
patients (i.e. patients with short life expectancy) or to treatments for
such patients
6. Original research: must present original research and must not be
solely a review of the literature
References
1. Shah, K., 2016. Does society place special value on end of life treatments? In: Round, J. ed. Care at the end of life: An economic perspective. Cham: Springer.
2. NICE [National Institute for Health and Care Excellence], 2009. Appraising life-extending, end of life treatments. London: NICE.
DISCUSSION AND CONCLUSIONS
• The evidence is mixed, with an equal split between the number of studies that report evidence consistent with an end of life
‘premium’ and the number that do not.
• Likelihood of a study providing evidence consistent with an end of life premium could be linked to the choice of preference
elicitation method and to whether indifference options and visual aids were used.
• Given framing effects, we recommend that researchers use multiple methods/designs to test the robustness of their results.
BACKGROUND
• The debate on whether health gains should
be weighted differently for different patient
groups has focused recently on the relative
value of treatments for patients with short
life expectancy [1].
• It is unclear whether society is prepared to
fund end of life treatments that would not
meet the reimbursement criteria used for
other treatments.
• Study objective: to review the published
literature relevant to the following research
question:
Do members of the general public
wish to place greater weight on a unit
of health gain for end of life patients
than on that for other types of
patients?
SUMMARY
• It is unclear whether or not society places special value on end of life treatments – this literature review finds an equal split
between the number of studies that report evidence consistent with an end of life ‘premium’ and the number that do not.
RESULTS
Freq. (%)
Overall finding: end of life premium
- Evidence consistent with an end of life premium
- Evidence not consistent with an end of life premium
- Mixed or inconclusive evidence
7 (41.2%)
7 (41.2%)
3 (17.6%)
Overall finding: QOL-improving vs. life-extending end of life treatments
- QOL improvement preferred
- Life extension preferred
- Not examined / reported
2 (11.8%)
1 (5.9%)
14 (82.4%)
Variable Evidence
consistent with
EOL premium
Evidence not
consistent with
EOL premium
Country
- UK
- Europe (non-UK)
- Rest of the world
2
3
2
4
2
1
Method a
- DCE
- Other choice exercise
- Willingness-to-pay
- Other
2
2
3
1
2
3
0
2
Mode of administration
- Internet survey
- Other
5
2
4
3
Indifference option offered?
- Yes
- No or not reported
5
2
2
5
Visual aids used?
- Yes
- No or not reported
5
2
2
5
• Variety of methods used: DCE and other
choice exercises, willingness-to-pay, person
trade-off, budget allocation, ranking
• Most studies asked respondents to adopt a
‘social decision maker’ perspective
• Some studies report that respondents are
less concerned about end of life when the
patients in question are relatively old
• 17 studies included in
review
• Majority published after
NICE issued its end of life
policy [2]
• Samples ranged from 23
individuals in a single
small city to >17,000
individuals from nine
different countries
Records identified through
SSCI search (n=598)
Excluded based on title and abstract
(n=547)
1. Publication (n=1)
2. Empirical data (n=1)
3. Priority-setting context (n=545)
4. Stated preference data (n=0)
Titles and abstracts
assessed (n=598)
Full texts assessed
(n=51)
Excluded based on full text assessment
(n=43)
1. Publication (n=0)
2. Empirical data (n=3)
3. Priority-setting context (n=8)
4. Stated preference data (n=1)
5. End of life (n=29)
6. Original research (n=2)
Eligible studies identified
through SSCI search
(n=8)
Studies included
(n=17)
++
Further eligible studies
identified through follow-up
of references (n=5)
Further eligible studies
already known to authors
(n=4)

DOES SOCIETY WISH TO PLACE GREATER WEIGHT ON A UNIT OF HEALTH GAIN FOR END OF LIFE PATIENTS THAN ON THAT FOR OTHER TYPES OF PATIENTS?

  • 1.
    DOES SOCIETY WISHTO PLACE GREATER WEIGHT ON A UNIT OF HEALTH GAIN FOR END OF LIFE PATIENTS THAN ON THAT FOR OTHER TYPES OF PATIENTS? Koonal Shah (Office of Health Economics, UK; University of Sheffield, UK) Aki Tsuchiya (University of Sheffield, UK); Allan Wailoo (University of Sheffield, UK) For further information, contact Koonal Shah – kshah@ohe.org METHODS • Primary source of data: electronic search of the Social Sciences Citation Index (Web of Science), with follow-up of reference lists • Search strategy: ("end of life" OR severity OR terminal OR “life expectancy”) AND preferences AND health AND (respondents OR subjects OR participants OR sampl*) • To be included, articles had to meet the following sequential criteria: 1. Publication: must be published in English in a peer-reviewed source 2. Empirical data: must review, present or analyse empirical data 3. Priority-setting context: must relate to a health care priority-setting or resource allocation context 4. Stated preference data: must report preferences that were elicited in a hypothetical, stated context using a approach involving trade-offs 5. End of life: must address the topic of giving priority to end of life patients (i.e. patients with short life expectancy) or to treatments for such patients 6. Original research: must present original research and must not be solely a review of the literature References 1. Shah, K., 2016. Does society place special value on end of life treatments? In: Round, J. ed. Care at the end of life: An economic perspective. Cham: Springer. 2. NICE [National Institute for Health and Care Excellence], 2009. Appraising life-extending, end of life treatments. London: NICE. DISCUSSION AND CONCLUSIONS • The evidence is mixed, with an equal split between the number of studies that report evidence consistent with an end of life ‘premium’ and the number that do not. • Likelihood of a study providing evidence consistent with an end of life premium could be linked to the choice of preference elicitation method and to whether indifference options and visual aids were used. • Given framing effects, we recommend that researchers use multiple methods/designs to test the robustness of their results. BACKGROUND • The debate on whether health gains should be weighted differently for different patient groups has focused recently on the relative value of treatments for patients with short life expectancy [1]. • It is unclear whether society is prepared to fund end of life treatments that would not meet the reimbursement criteria used for other treatments. • Study objective: to review the published literature relevant to the following research question: Do members of the general public wish to place greater weight on a unit of health gain for end of life patients than on that for other types of patients? SUMMARY • It is unclear whether or not society places special value on end of life treatments – this literature review finds an equal split between the number of studies that report evidence consistent with an end of life ‘premium’ and the number that do not. RESULTS Freq. (%) Overall finding: end of life premium - Evidence consistent with an end of life premium - Evidence not consistent with an end of life premium - Mixed or inconclusive evidence 7 (41.2%) 7 (41.2%) 3 (17.6%) Overall finding: QOL-improving vs. life-extending end of life treatments - QOL improvement preferred - Life extension preferred - Not examined / reported 2 (11.8%) 1 (5.9%) 14 (82.4%) Variable Evidence consistent with EOL premium Evidence not consistent with EOL premium Country - UK - Europe (non-UK) - Rest of the world 2 3 2 4 2 1 Method a - DCE - Other choice exercise - Willingness-to-pay - Other 2 2 3 1 2 3 0 2 Mode of administration - Internet survey - Other 5 2 4 3 Indifference option offered? - Yes - No or not reported 5 2 2 5 Visual aids used? - Yes - No or not reported 5 2 2 5 • Variety of methods used: DCE and other choice exercises, willingness-to-pay, person trade-off, budget allocation, ranking • Most studies asked respondents to adopt a ‘social decision maker’ perspective • Some studies report that respondents are less concerned about end of life when the patients in question are relatively old • 17 studies included in review • Majority published after NICE issued its end of life policy [2] • Samples ranged from 23 individuals in a single small city to >17,000 individuals from nine different countries Records identified through SSCI search (n=598) Excluded based on title and abstract (n=547) 1. Publication (n=1) 2. Empirical data (n=1) 3. Priority-setting context (n=545) 4. Stated preference data (n=0) Titles and abstracts assessed (n=598) Full texts assessed (n=51) Excluded based on full text assessment (n=43) 1. Publication (n=0) 2. Empirical data (n=3) 3. Priority-setting context (n=8) 4. Stated preference data (n=1) 5. End of life (n=29) 6. Original research (n=2) Eligible studies identified through SSCI search (n=8) Studies included (n=17) ++ Further eligible studies identified through follow-up of references (n=5) Further eligible studies already known to authors (n=4)