| Literature DB >> 35695986 |
Thomas W LeBlanc1, Nigel H Russell2, Loriana Hernandez-Aldama3, Charlotte Panter4, Timothy J Bell5, Verna Welch5, Diana Merino Vega6, Louise O'Hara7, Julia Stein7, Melissa Barclay7, Francois Peloquin8, Andrew Brown9, Jasmine Healy8, Lucy Morgan7, Adam Gater7, Ryan Hohman6, Karim Amer9, Dawn Maze10, Roland B Walter11.
Abstract
INTRODUCTION: Treatment decisions in older adults with acute myeloid leukemia (AML) are challenging, particularly for those who are not candidates for intensive chemotherapy (IC), and the trade-offs patients, their families and physicians consider when choosing a treatment option are not well understood. This qualitative research explored the value of extending survival and the treatment decision-making process from a multi-stakeholder perspective.Entities:
Keywords: AML; Acute myeloid leukemia; Decision-making; Qualitative interviews; Treatment
Year: 2022 PMID: 35695986 PMCID: PMC9189260 DOI: 10.1007/s40487-022-00200-9
Source DB: PubMed Journal: Oncol Ther ISSN: 2366-1089
Fig. 1Overview of study design
Demographic and clinical characteristics of patient sample, broken down by country (n = 28)
| Characteristic | US | UK | Canada | Total | |
|---|---|---|---|---|---|
| | Mean (range) | 72.2 (65–80) | 75.3 (68–81) | 77.5 (72–83) | 74.0 (65–83) |
| Sex, | Male | 5 (33.3%) | 6 (66.7%) | 4 (100.0%) | 15 (53.6%) |
| Female | 10 (66.7%) | 3 (33.3%) | – | 13 (46.4%) | |
| Race, | White/Caucasian | 8 (53.3%) | 9 (100.0%) | 4 (100.0%) | 21 (75.0%) |
| Black/African American/ Caribbean/Black British | 6 (40.0%) | – | – | 6 (21.4%) | |
| Multi-racial | 1 (6.7%) | – | – | 1 (3.6%) | |
| Living status, | Living with others | 15 (100.0%) | 8 (88.9%) | 3 (75.0%) | 26 (92.9%) |
| Living alone | – | 1 (11.1%) | 1 (25.0%)e | 2 (7.1%) | |
Highest level of education, One UK patient had missing data | Postgraduate education | – | 2 (22.2%) | – | 2 (7.1%) |
| Certificate programme | 1 (6.7%) | 1 (11.1%) | – | 2 (7.1%) | |
| College or university degree | 4 (26.7%) | – | 4 (100.0%) | 8 (28.6%) | |
| Some years of college | 1 (6.7%) | – | – | 1 (3.6%) | |
| High school diploma/GEDa | 6 (40.0%) | – | – | 6 (21.4%) | |
| GCSE levelb | – | 4 (44.4%) | – | 4 (14.3%) | |
| Some high school | 3 (20.0%) | – | – | 3 (10.7%) | |
| Activity over the past month, | Normal with no limitations | – | 1 (11.1%) | 1 (25.0%) | 2 (7.1%) |
| Not my normal self, but able to be up and about with fairly normal activities | 4 (26.7%) | 6 (66.7%) | 2 (50.0%) | 12 (42.9%) | |
| Not feeling up to most things, but in bed or chair less than half the day | 6 (40.0%) | 2 (22.2%) | – | 8 (28.6%) | |
| Able to do little activity and spend most of the day in bed or chair | 3 (20.0%) | – | 2 (50.0%) | 4 (14.3%) | |
| Pretty much bed ridden, rarely out of bed | 2 (13.3%) | – | – | 2 (7.1%) | |
| Time since AML diagnosis in months | Mean (range) | 5.8 (3–10) | 8.2 (3–19) | 6.9 (2–15) | 6.9 (2–19) |
| Treatment options | Currently on NIC | - | 8 (88.9%) | 3 (75.0%) | 11 (39.3%) |
| Discontinued NIC | 1 (6.7%) | 1 (11.1%) | 1 (25.0%) | 3 (10.7%) | |
| Currently on BSC | 1 (6.7%) | – | – | 1 (3.6%) | |
| None | 13 (86.7%) | – | – | 13 (46.4%) | |
| Reason for unwillingness or unsuitability for IC determined by physician, | Too unwell for | 8 (53.3%) | – | 2 (50.0%) | 10 (35.7%) |
| Significant comorbidities | 5 (33.3%) | 3 (33.3%) | – | 8 (28.6%) | |
| Patient unwilling to receive IC | 5 (33.3%) | – | 2 (50.0%) | 7 (25.0%) | |
| Older age | – | 7 (77.8%) | – | 7 (25.0%) | |
| Avoiding hospitalization during Covid-19 pandemic | – | 2 (22.2%) | – | 2 (7.1%) | |
| Current treatment, | Dexamethasone | 1 (6.7%) | – | – | 1 (3.6%) |
| Hydroxyurea | 1 (6.7%) | – | – | 1 (3.6%) | |
| Cytarabine (low dose) | – | 5 (55.6%) | 1 (25.0%) | 6 (21.4%) | |
| Azacitidine | – | 3 (33.3%) | 2 (50.0%) | 5 (17.9%) | |
| dBCT-100 | – | 1 (11.1%) | – | 1 (3.6%) | |
| Venetoclax | – | 3 (33.3%) | 3 (75.0%) | 6 (21.4%) | |
| Previous treatment, | Azacitidine | 1 (6.7%) | – | 1 (25.0%) | 2 (7.1%) |
| Venetoclax | – | – | 1 (25.0%) | 1 (3.6%) | |
| Dexamethasone | 1 (6.7%) | – | – | 1 (3.6%) | |
| Cytarabine (low dose) | – | 1 (11.1%) | – | 1 (3.6%) | |
| LenalidomideLenalidomide | – | 1 (11.1%) | – | 1 (3.6%) | |
| Midostaurin | – | – | 1 (25.0%) | 1 (3.6%) | |
aGED = General Educational Development (high-school level diploma awarded in the US)
bGCSE = General Certificate of Secondary Education (certificate acquired in education in the UK, usually around age 15)
cPhysicians could select multiple options
dBCT-100 = pegylated human recombinant arginase
eOne patient had live-in staff
Physician characteristics (n = 10)
| Characteristic | US ( | UK ( | Canada ( | Total ( |
|---|---|---|---|---|
| Hematologist | - | 2 (66.7%) | 3 (100%) | 5 (50.0%) |
| Hematologist and oncologist | 4 (100%) | 1 (33.3%) | – | 5 (50.0%) |
| Hospital | 1 (25.0%) | 3 (100%) | 2 (66.7%) | 6 (60.0%) |
| Academic | 2 (50.0%) | 1 (33.3%) | 2 (66.7%) | 5 (50.0%) |
| Private practice | 2 (50.0%) | 1 (33.3%) | – | 3 (30.0%) |
| Outpatient | 2 (50.0%) | 1 (33.3%) | 2 (66.7%) | 1 (10.0%) |
| Mean | 243.8 | 190 | 200 | 215.7 |
| Range | 125–400 | 120–250 | 150–250 | 120–400 |
| Mean | 23 | 21.7 | 21.7 | 22.2 |
| Range | 12–40 | 15–30 | 10–40 | 10–40 |
| Mean | 11.3 | 9.3 | 7.7 | 9.6 |
| Range | 7–15 | 8–1 | 3–15 | 3–15 |
| Mean | 15.3 | 15 | 22.3 | 17.3 |
| Range | 7–27 | 5–20 | 17–25 | 5–27 |
| Once per week | 1 (25.0%) | 2 (66.7%) | 1 (33.3%) | 4 (40.0%) |
| Twice per week | – | – | 1 (33.3%) | 1 (10.0%) |
| Once every 2 weeks | – | 1 (33.3%) | 1 (33.3%) | 2 (20.0%) |
| Once per month | 2 (50.0%) | – | 1 (33.3%) | 3 (30.0%) |
| Once per week | 2 (50.0%) | – | – | 2 (20.0%) |
| Twice per week | – | – | 1 (33.3%) | 1 (10.0%) |
| Once every 2 weeks | – | 3 (100.0%) | 1 (33.3%) | 4 (40.0%) |
| Once per month | 2 (50.0%) | - | 1 (33.3%) | 3 (30.0%) |
| Mean proportion | 50.0 | 40.0 | 31.7 | 41.4 |
| Range | 45–55 | 30–60 | 20–40 | 20–60 |
| Mean proportion | 77.5 | 60.0 | 61.7 | 67.5 |
| Range | 75–80 | 50–70 | 35–80 | 35–80 |
aPhysicians could select multiple options
Fig. 2Overview of future life milestones
Key findings and supporting quotes
| Key findings | Supporting quotes |
|---|---|
Fig. 3Treatment factors rated ‘very important’ by patients, relatives and physicians when making AML treatment decisions
Fig. 4Who had the most influence in treatment decision-making?
| Every day matters to enable patients with acute myeloid leukemia (AML) to spend more time with family/friends and do hobbies, but not at the sacrifice of good health |
| Incorrect perceptions and limited understanding about treatment options may limit patients’ treatment acceptance resulting in worse outcomes |
| Patients consider physicians to have the most influence in treatment decision-making; however, priorities and treatment goals of patient and physicians do not always align |