TheDePaulGroup
New Member
Hello all,
I am part of the team that created and deployed this survey (DSQ-PEM 2). I have been reviewing all the feedback across forums, comments online, and comments left on the survey. I would like to pass on a message from Dr. Leonard Jason:
I would like to thank the patient community for their participation in our recent surveys—one focused on criteria for measuring illness severity and burden, and the other on post-exertional malaise (PEM). More than 4,000 individuals responded to the first survey, and over 600 to the second. My team and I are deeply appreciative of this remarkable response and the thoughtful comments we received. Several participants asked how we have collaborated with patient groups on these and other efforts. Below, I provide a brief overview of this broader participatory process, followed by the rationale for doing our two most recent studies.
For more than 35 years, our group has been privileged to work closely with the patient community on a wide range of initiatives. Beginning in 1990, patients alerted us to the harm caused by the CDC’s inaccurate prevalence estimates and the stigmatizing media portrayal of ME/CFS as “Yuppie Flu.” With financial support and encouragement from the largest patient organization at that time—the CFIDS Association—we conducted a pilot study that challenged the CDC’s estimate of only 20,000 affected individuals. With these pilot data, we were able to successfully obtain NIH funding, and we carried out our community-based epidemiologic research demonstrating that ME/CFS prevalence was far higher than originally reported. The effort took our group a decade. This major shift in understanding the prevalence of ME/CFS would not have been possible without the sustained engagement and guidance of the patient community. When patients raised concerns about the stigmatizing effects of the term “chronic fatigue syndrome,” we conducted research showing that labeling indeed influenced public perceptions—validating patient experiences and supporting the use of “ME” as the preferred term. These two foundational projects were both patient-driven. More details on this early collaborative work can be found in: Jason, L.A. (2015). Ethical and diversity challenges in ecologically sensitive systems-oriented interventions. American Psychologist, 70, 762–775. PMCID: PMC4863698.
In part due to these efforts, I was later appointed Chairperson of the U.S. Research Committee of the CFS Advisory Committee, which advised the Secretary of Health and Human Services. At those meetings, patients repeatedly voiced concerns about the limitations of the Fukuda criteria used in research and clinical trials. Guided by these concerns, our team spent the next decade evaluating the adequacy of these criteria. We found that many studies using Fukuda’s definition recruited participants who did not experience PEM or cognitive impairment—core symptoms of ME/CFS. Moreover, the criteria relied on symptom “occurrence” rather than precise frequency and severity measures. Our research demonstrated that such measures failed to distinguish ME/CFS from major depressive disorder, while frequency/severity metrics could make that distinction.
Addressing our work on measuring post-exertional malaise (PEM): The original DSQ was not designed as a comprehensive PEM measure, though it included ten relevant PEM items. Rather, it was a measure of the multiple symptoms that occur among patients. Just before the pandemic, we published what we call the DSQ-PEM, a short PEM tool derived from the DSQ survey. But this brief scale did not cover key issues such as the delay of onset of symptoms and triggers for symptoms. Recognizing the need for a more complete instrument, we sought patient input through social media, inviting suggestions for additional questions and refining the measure iteratively based on feedback. Once a patient-led effort had developed the PEM questionnaire, we then posted it on my Facebook account, and 1,534 patients completed the resulting comprehensive PEM questionnaire. Details on this patient-generated measure are available in:
Holtzman, C.S., Bhatia, S., Cotler, J., & Jason, L.A. (2019). Assessment of post-exertional malaise (PEM) in patients with Myalgic Encephalomyelitis (ME) and Chronic Fatigue Syndrome (CFS): A patient-driven survey. Diagnostics, 9(1), 26. However, it is a lengthy questionnaire of 8 pages.
When the pandemic began, few validated PEM measures were available, but as we know, PEM is a key symptom of Long COVID. As there were very few PEM-validated measures at the time, Long COVID researchers worldwide adopted our brief 5-item PEM scale and the 10-item DSQ-PEM, both of which have since been translated into 28 languages. These instruments that been used in dozens of articles over the last few years. However, our comprehensive 8-page PEM questionnaire proved too lengthy and was not used by researchers. This led our group to explore whether a balanced, intermediate solution could be developed—a more current and comprehensive measure than the DSQ-PEM, yet briefer and more practical than the full 8-page version. Using data that we had already collected on the 8-page version, we just examined core PEM domains, so we were able to keep it to 2 pages. We finished this study in the summer, and it has been accepted for publication in a journal. We are now working on the page proofs, but it will be released shortly.
After finalizing this briefer version, which we now call the DSQ-PEM2, we wanted to collect new data with this briefer PEM instrument. That is the instrument that I circulated last week on my Facebook page, and the items originally had been recommended by patients when we created the more comprehensive 8-page instrument, but of course, it was briefer at just two pages, with the hope that this briefer instrument might be used by investigators, and it certainly is more comprehensive than the DSQ-PEM that has been so widely used.
I also want to acknowledge the thoughtful feedback we have received regarding this new PEM instrument, and all comments are being carefully reviewed. Some participants mentioned they would have preferred to be able to skip items, and several respondents requested more details clarifying items. Several mentioned it was difficult to differentiate a PEM occurrence from the overall ME experience, and this certainly is a difficult task to differentiate in a self-report questionnaire. While we did include a question about whether pacing was effective in reducing PEM, we did not ask for each question what it would be like if a patient were not pacing, but to do so would have doubled the number of questions on our brief 2-page questionnaire. These suggestions reflect fundamental measurement issues and reinforce that operationalizing PEM in a way that matches lived experience remains a challenging process for these types of surveys. However, self-report questionnaires do have the advantage of being less expensive than many other methods, such as two-day cardiopulmonary exercise tests.
We are immensely grateful to the more than 600 participants who completed the survey. Although this version (the DSQ-PEM-2) is less detailed than the 8-page comprehensive measure, we hope it will serve as a practical and scientifically valuable tool for future research on PEM. Fortunately, there are more PEM instruments today than when we began working on the creation of DSQ in 2009.
Warm regards,
Lenny Jason
I am part of the team that created and deployed this survey (DSQ-PEM 2). I have been reviewing all the feedback across forums, comments online, and comments left on the survey. I would like to pass on a message from Dr. Leonard Jason:
I would like to thank the patient community for their participation in our recent surveys—one focused on criteria for measuring illness severity and burden, and the other on post-exertional malaise (PEM). More than 4,000 individuals responded to the first survey, and over 600 to the second. My team and I are deeply appreciative of this remarkable response and the thoughtful comments we received. Several participants asked how we have collaborated with patient groups on these and other efforts. Below, I provide a brief overview of this broader participatory process, followed by the rationale for doing our two most recent studies.
For more than 35 years, our group has been privileged to work closely with the patient community on a wide range of initiatives. Beginning in 1990, patients alerted us to the harm caused by the CDC’s inaccurate prevalence estimates and the stigmatizing media portrayal of ME/CFS as “Yuppie Flu.” With financial support and encouragement from the largest patient organization at that time—the CFIDS Association—we conducted a pilot study that challenged the CDC’s estimate of only 20,000 affected individuals. With these pilot data, we were able to successfully obtain NIH funding, and we carried out our community-based epidemiologic research demonstrating that ME/CFS prevalence was far higher than originally reported. The effort took our group a decade. This major shift in understanding the prevalence of ME/CFS would not have been possible without the sustained engagement and guidance of the patient community. When patients raised concerns about the stigmatizing effects of the term “chronic fatigue syndrome,” we conducted research showing that labeling indeed influenced public perceptions—validating patient experiences and supporting the use of “ME” as the preferred term. These two foundational projects were both patient-driven. More details on this early collaborative work can be found in: Jason, L.A. (2015). Ethical and diversity challenges in ecologically sensitive systems-oriented interventions. American Psychologist, 70, 762–775. PMCID: PMC4863698.
In part due to these efforts, I was later appointed Chairperson of the U.S. Research Committee of the CFS Advisory Committee, which advised the Secretary of Health and Human Services. At those meetings, patients repeatedly voiced concerns about the limitations of the Fukuda criteria used in research and clinical trials. Guided by these concerns, our team spent the next decade evaluating the adequacy of these criteria. We found that many studies using Fukuda’s definition recruited participants who did not experience PEM or cognitive impairment—core symptoms of ME/CFS. Moreover, the criteria relied on symptom “occurrence” rather than precise frequency and severity measures. Our research demonstrated that such measures failed to distinguish ME/CFS from major depressive disorder, while frequency/severity metrics could make that distinction.
Addressing our work on measuring post-exertional malaise (PEM): The original DSQ was not designed as a comprehensive PEM measure, though it included ten relevant PEM items. Rather, it was a measure of the multiple symptoms that occur among patients. Just before the pandemic, we published what we call the DSQ-PEM, a short PEM tool derived from the DSQ survey. But this brief scale did not cover key issues such as the delay of onset of symptoms and triggers for symptoms. Recognizing the need for a more complete instrument, we sought patient input through social media, inviting suggestions for additional questions and refining the measure iteratively based on feedback. Once a patient-led effort had developed the PEM questionnaire, we then posted it on my Facebook account, and 1,534 patients completed the resulting comprehensive PEM questionnaire. Details on this patient-generated measure are available in:
Holtzman, C.S., Bhatia, S., Cotler, J., & Jason, L.A. (2019). Assessment of post-exertional malaise (PEM) in patients with Myalgic Encephalomyelitis (ME) and Chronic Fatigue Syndrome (CFS): A patient-driven survey. Diagnostics, 9(1), 26. However, it is a lengthy questionnaire of 8 pages.
When the pandemic began, few validated PEM measures were available, but as we know, PEM is a key symptom of Long COVID. As there were very few PEM-validated measures at the time, Long COVID researchers worldwide adopted our brief 5-item PEM scale and the 10-item DSQ-PEM, both of which have since been translated into 28 languages. These instruments that been used in dozens of articles over the last few years. However, our comprehensive 8-page PEM questionnaire proved too lengthy and was not used by researchers. This led our group to explore whether a balanced, intermediate solution could be developed—a more current and comprehensive measure than the DSQ-PEM, yet briefer and more practical than the full 8-page version. Using data that we had already collected on the 8-page version, we just examined core PEM domains, so we were able to keep it to 2 pages. We finished this study in the summer, and it has been accepted for publication in a journal. We are now working on the page proofs, but it will be released shortly.
After finalizing this briefer version, which we now call the DSQ-PEM2, we wanted to collect new data with this briefer PEM instrument. That is the instrument that I circulated last week on my Facebook page, and the items originally had been recommended by patients when we created the more comprehensive 8-page instrument, but of course, it was briefer at just two pages, with the hope that this briefer instrument might be used by investigators, and it certainly is more comprehensive than the DSQ-PEM that has been so widely used.
I also want to acknowledge the thoughtful feedback we have received regarding this new PEM instrument, and all comments are being carefully reviewed. Some participants mentioned they would have preferred to be able to skip items, and several respondents requested more details clarifying items. Several mentioned it was difficult to differentiate a PEM occurrence from the overall ME experience, and this certainly is a difficult task to differentiate in a self-report questionnaire. While we did include a question about whether pacing was effective in reducing PEM, we did not ask for each question what it would be like if a patient were not pacing, but to do so would have doubled the number of questions on our brief 2-page questionnaire. These suggestions reflect fundamental measurement issues and reinforce that operationalizing PEM in a way that matches lived experience remains a challenging process for these types of surveys. However, self-report questionnaires do have the advantage of being less expensive than many other methods, such as two-day cardiopulmonary exercise tests.
We are immensely grateful to the more than 600 participants who completed the survey. Although this version (the DSQ-PEM-2) is less detailed than the 8-page comprehensive measure, we hope it will serve as a practical and scientifically valuable tool for future research on PEM. Fortunately, there are more PEM instruments today than when we began working on the creation of DSQ in 2009.
Warm regards,
Lenny Jason