Methods and models in health-related quality of life (HRQOL) research: a state-of-the-art review
Bibliographic record
Abstract
The 9th Annual Conference of the International Society for Quality of Life Research (ISOQOL) addressed state-ofthe-art methods and theoretical models for measuring health-related quality of life (HRQOL) and focused on opportunities for the use of these tools within practical settings and circumstances. The scientific program was chaired by Carolyn Schwartz (University of Massachusetts Medical School, MA, USA) and Jeff Sloan (Mayo Clinic, MN, USA). A variety of topics were addressed at the conference – chief among them were: • End-of-life issues • Chronic illness • The clinical significance and interpretation of research findings • Response shift • Adherence to therapy HRQOL at the end of life is a topic that does not ordinarily receive the attention it deserves. During the first plenary session, Tom Hack (CancerCare Manitoba, Canada) presented the results of a qualitative study through which the construct ‘dignity’ was operationalized and assessed. His approach to qualitative research, using innovative methodology undertaken with cancer patients receiving palliative care, was engaging and practical. At the same session, remarks provided by Carol Tishelman (Karolinska Institutet, Sweden) that focused on how to add precision to qualitative research were well received by the audience. The end-of-life issue received further attention at the conference during a special symposium chaired by Carolyn Schwartz. In the symposium, research was presented that ranged from new tools developed specifically for a seriously ill and/or dying population, to measuring the treatment preferences for those receiving end-of-life care. The end-of-life period and the issues raised by it are relevant for exploration by HRQOL research because the field has a natural relationship with chronic illness, regardless of whether the illness is in remission or is progressing. As is always the case at ISOQOL annual conferences, chronic illnesses of all sizes and shapes were fodder for HRQOL presentations. Topics that received special attention at one such session, chaired by Jane Scott (Mapi Values USA, NC, USA), included examination of models to accurately reflect the multidimensional nature of HRQOL assessment, using data from patients with AIDS, the psychological impact of cancer and treatment for it and how this relates to posttraumatic stress disorders, the relationship between HRQOL findings in patients with multiple sclerosis and other chronic neurological illnesses, HRQOL findings in cancer survivor patients and the interrelationships between pain, mental and physical health and HRQOL in people living with HIV infection. As the poster and oral research presented at the conference indicated, there is much interest in the development of more robust and precise instruments based on item banks and other state-of-the-art methodology. Computer-adapted testing, for example, has allowed researchers to develop instruments that require only a few items. However, due to the fact that each person’s response is dynamically matched to the best estimate of their level of health, these types of approaches result in shorter administration time, producing a final score that is practically identical in value and reliability to longer instruments which must be completed in their entirety to be effectively scored and interpreted. A debate regarding the pros and cons of computer-adaptive testing was moderated by David Osoba (QOL Consulting, Canada) during the conference. Three oral sessions were devoted to cancer. The papers presented and the issues discussed within one of these sessions included the use of QoL as a primary end-point within a lung cancer study. The paper, offered by Andrea Bezjak (Princess Margaret Hospital, Canada), was innovative because the successful use of HRQOL as a primary end-point was conducted within an international clinical study. Other noteworthy topics presented within this session, chaired by Galina Velikova (St James’s University Hospital, UK), included insights into:
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.068 | 0.116 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.017 | 0.027 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".