Dying Trajectory in the Last Year of Life: Does Cancer Trajectory Fit Other Diseases? Joan M Teno,...
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Transcript of Dying Trajectory in the Last Year of Life: Does Cancer Trajectory Fit Other Diseases? Joan M Teno,...
![Page 1: Dying Trajectory in the Last Year of Life: Does Cancer Trajectory Fit Other Diseases? Joan M Teno, M.D. M.S. Associate Professor Brown University School.](https://reader036.fdocuments.us/reader036/viewer/2022072006/56649f445503460f94c65448/html5/thumbnails/1.jpg)
Dying Trajectory in the Last Year of Life: Does Cancer
Trajectory Fit Other Diseases?
Joan M Teno, M.D. M.S.Associate Professor
Brown University School of Medicine
![Page 2: Dying Trajectory in the Last Year of Life: Does Cancer Trajectory Fit Other Diseases? Joan M Teno, M.D. M.S. Associate Professor Brown University School.](https://reader036.fdocuments.us/reader036/viewer/2022072006/56649f445503460f94c65448/html5/thumbnails/2.jpg)
Dying in the US
Institutionalization of Death - historical changes from home to institutional death (hospital and NH)
Hospice Medicare Benefit based on cancer disease trajectory
![Page 3: Dying Trajectory in the Last Year of Life: Does Cancer Trajectory Fit Other Diseases? Joan M Teno, M.D. M.S. Associate Professor Brown University School.](https://reader036.fdocuments.us/reader036/viewer/2022072006/56649f445503460f94c65448/html5/thumbnails/3.jpg)
Hospice Medicare Benefit
Created early 1980s, as both cost containment and improving the quality care of the dying
For persons with “expected six month survival”, but never defined that term.
Recent debate as focused on issue of ACCESS and ABUSE
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Goals
Describe functional trajectory in the last year of life for cancer and leading non-cancer causes of death.
Examined its association with site of death and hospice involvement
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Methods-Sample
National Mortality Followback Survey-1993
Death Certificate and Questionnaire 1% sample of > 15 yr olds in US Deaths from chronic, progressive
illnesses N(weighted)=1,980,388
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Methods-Activities of Daily Living
ADLs: • Getting in and out of bed or chair• Eating• Using the toilet• Dressing • Bathing
Ex of question: “During ___ entire life, how long did ___ have difficulty bathing” measured in days
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Sample Description
Characteristics Cancer CHF DM COPD CVA1993 US Decedents 526,432 83,640 51,927 101,202 151,134Survey Sample Total 1655 291 157 1059 452Age – Mean - Median
7062
7868
7065
7574
7981
Gender (% Male) 52 45 36 53 44Race (%) White African American Other
8711 2
9010<1
76186
946<1
86113
Site of Death (%) Hospital Nursing Home
Home
471436
423123
621422
641716
6227 9
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Results-Functional DeclineFigure 1
Age Adjusted ADL Scores by Month before Death
0
0.5
1
1.5
2
2.5
3
3.5
12 11 10 9 8 7 6 5 4 3 2 1 0
Month before Death
AD
L S
co
re Cancer
CVA
COPD
Diabetes
CHF
P <.001
![Page 9: Dying Trajectory in the Last Year of Life: Does Cancer Trajectory Fit Other Diseases? Joan M Teno, M.D. M.S. Associate Professor Brown University School.](https://reader036.fdocuments.us/reader036/viewer/2022072006/56649f445503460f94c65448/html5/thumbnails/9.jpg)
Results- Functional DeclineFigure 2
Adjusted Proportion of People with Trouble Getting in and out of Bed or Chair
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
12 11 10 9 8 7 6 5 4 3 2 1 0
Month Before Death
Pro
po
rtio
n CancerCVACOPDDiabetesCHF
![Page 10: Dying Trajectory in the Last Year of Life: Does Cancer Trajectory Fit Other Diseases? Joan M Teno, M.D. M.S. Associate Professor Brown University School.](https://reader036.fdocuments.us/reader036/viewer/2022072006/56649f445503460f94c65448/html5/thumbnails/10.jpg)
Results-Functional DeclineTable 2
Table 2: Association of Functional trajectory with Hospice Involvement and Dying at Home
ADL change from 5 months prior todeath to day before death
WeightedNumber ofDecedents
Hospice Involved(%)
Died at Home (%)
No change 491,599 6.5 20.31 ADL 73,635 10.2 33.62 ADLs 34,923 23.7 37.43 or more ADLs 250,211 29.0 40.7
P <.001, for the Mantel-Hanzel Test of Linear Trend
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Study Limitations
Data obtained retrospectively, from proxy respondents-
Secondary analysis-limited to questions that were asked in NMFS
No Questions about patient preferences for site of death
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Conclusions
Non-Cancer Diagnoses have different patterns of functional decline in last year of life. The pattern of functional decline was associated with site of death and hospice involvement
Cancer Patients are more likely to die at home--because of more predictable trajectory