To the editor:

In their recommendations for diagnosis and treatment of the myelodysplastic syndromes (MDS),1  the European Leukemia Net point out the crucial role of quality of life (QoL) assessment, as affected patients are most often elderly and have a largely incurable disease. We agree that rigorous assessment of QoL is highly valuable2  and that measuring patient-reported outcomes is key to managing this disease.3  Preference for involvement in treatment decisions by MDS patients can also be associated with their QoL, and it is therefore crucial to rely on solid measurements4 ; however, as pointed out by the authors, so far, most QoL analyses for MDS have used generic or cancer-specific instruments.5  A disease-specific measure would allow for more sensitive assessment of the impact of MDS interventions.6,7 

With the input of MDS patients, caregivers, providers, and QoL experts, we have created the Quality of Life in Myelodysplasia Scale version 1 (QUALMS-1),8  a new MDS-specific QoL measure developed in the era of disease-modifying agents. Individual and combined focus groups were conducted with members of the MDS community associated with the Dana-Farber Cancer Institute to identify MDS-relevant QoL domains and associated question topics. A draft 38-item scale was then constructed, using an algorithm that weighted the overall score by incorporating a greater number of questions from more highly ranked domains (Table 1).

Table 1

Domains with rankings for the QUALMS-1 (n = 32; 1 = most important, 12 = least important)

DomainMean ranking
Fatigue 1.4 
Emotional health 3.3 
Uncertainty/sense of control 4.6 
Disease information 5.5 
Disruption of life/logistics of care 5.7 
Family relationships 6.6 
Symptoms other than fatigue 6.6 
Financial concerns 7.0 
Awareness of positives/hope 7.1 
Social/role functioning 7.9 
Sexual health 11.0 
Appearance/self-image 11.0 
DomainMean ranking
Fatigue 1.4 
Emotional health 3.3 
Uncertainty/sense of control 4.6 
Disease information 5.5 
Disruption of life/logistics of care 5.7 
Family relationships 6.6 
Symptoms other than fatigue 6.6 
Financial concerns 7.0 
Awareness of positives/hope 7.1 
Social/role functioning 7.9 
Sexual health 11.0 
Appearance/self-image 11.0 

Not unexpectedly, fatigue was ranked as the most important domain. None of the 12 domains was ranked significantly differently by patients/caregivers vs providers. The 2 groups ranked only 5 of 60 question topics differently (“too tired for routine tasks”: providers higher, P = .05; “limited support beyond the family”: providers higher; P = .02”; “organizing life around transfusion/doctor appointments”: providers higher, P = .03; “bruising”: patients/caregivers higher, P = .05; “anger over diagnosis”: providers higher, P = .03). The high level of agreement in the rankings of domains and question topics between MDS patients/caregivers and providers suggests that the QoL of MDS patients is compromised, and in a reliably measureable fashion.

We next piloted the QUALMS-1 with a new cohort of MDS patients at the Dana-Farber Cancer Institute (n = 20) including behavioral coding followed by a structured cognitive interview using Jobe’s framework.9  We interviewed patients individually and reassessed after every 5, refining the QUALMS-1 after each group. By patient 17, saturation was achieved: no questions were found to be confusing, upsetting, irrelevant, or intrusive. The mean time to complete the instrument was a minimally burdensome 7.5 minutes. We are currently field testing the QUALMS-1 in a larger, international cohort of patients (n = 180) to assess its validity, reliability, and responsiveness.

We hope that, once validated, the QUALMS-1 will impact the lives of MDS patients by facilitating the approval of disease-altering therapies, especially given the increasing focus by the FDA on patient-reported outcomes.10  It will also permit physicians to more specifically advise patients about the risks and benefits of new therapies in the context of their current QoL. Finally, the implementation of the QUALMS-1 will provide more precise measurement of QoL in these patients to detect actual differences between treatments being tested, if these truly exist.

Acknowledgments: This work was supported by the Aplastic Anemia and MDS International Foundation, which funded the development of the QUALMS-1, and a Quality of Life Grant from the Canadian Cancer Society in memory of James Tyrell (grant 701837), which is funding its international validation.

Contribution: All authors collected or analyzed data, and all authors wrote and approved the manuscript.

Conflict-of-interest disclosure: The authors declare no competing financial interests.

Correspondence: Gregory A. Abel, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215; e-mail: gregory_abel@dfci.harvard.edu.

1
Malcovati
 
L
Hellström-Lindberg
 
E
Bowen
 
D
et al. 
Diagnosis and treatment of primary myelodysplastic syndromes in adults: recommendations from the European LeukemiaNet.
Blood
2013
, vol. 
122
 
17
(pg. 
2943
-
2964
)
2
Methodology Committee of the Patient-Centered Outcomes Research Institute (PCORI)
Methodological standards and patient-centeredness in comparative effectiveness research: the PCORI perspective.
JAMA
2012
, vol. 
307
 
15
(pg. 
1636
-
1640
)
3
Calvert
 
M
Blazeby
 
J
Altman
 
DG
Revicki
 
DA
Moher
 
D
Brundage
 
MD
CONSORT PRO Group
Reporting of patient-reported outcomes in randomized trials: the CONSORT PRO extension.
JAMA
2013
, vol. 
309
 
8
(pg. 
814
-
822
)
4
Efficace
 
F
Gaidano
 
G
Sprangers
 
M
et al. 
Preference for involvement in treatment decisions and request for prognostic information in newly-diagnosed patients with higher-risk myelodysplastic syndromes.
Ann Oncol
 
(in press)
5
Caocci
 
G
La Nasa
 
G
Efficace
 
F
 
Health-related quality of life and symptom assessment in patients with myelodysplastic syndromes. Exp Rev Hematol. 2009;2:69-80
6
Bowling
 
A
Measuring Disease
2001
2nd ed
Oxford, UK
University Press
7
Eiser
 
C
Morse
 
R
A review of measures of quality of life for children with chronic illness.
Arch Dis Child
2001
, vol. 
84
 
3
(pg. 
205
-
211
)
8
Abel
 
G
Lee
 
SJ
Stone
 
R
et al. 
Development of a disease-specific measure of quality of life in myelodysplastic syndromes (MDS): the “QUALMS-1” [abstract].
J Clin Oncol
2012
, vol. 
30
 
suppl; abstr 6103
pg. 
407s
 
9
Jobe
 
JB
Cognitive psychology and self-reports: models and methods.
Qual Life Res
2003
, vol. 
12
 
3
(pg. 
219
-
227
)
10
US Food and Drug Administration
 
Guidance for Industry. Patient-reported outcome measures: use in medical product development to support labeling claims. U.S. Department of Health and Human Services Food and Drug Administration, December 2009. http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM193282.pdf. Accessed November 29, 2013
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