Quantifying the Association Between Health-related Quality of Life (HRQoL) Scores and Work-related Outcomes in Oncology
Quality of Life Research
Read ArticleQualityMetric is an expert in evidence generation using patient-reported outcomes for oncology.
We take an end-to-end approach to support the speed on selecting fit-for-purpose as end-point strategies for cancer treatments. Contact us for a review of our capabilities by phone at (800) 572-9394 or by filling out the form below. For academic organizations click here.
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An Expert in Oncology Research & Care
Measure health-related quality of life and functional health and well-being from the patient’s perspective to guide cancer research and care initiatives. QualityMetric offers a suite of solutions that help teams leverage patient-reported outcomes in oncology, plus strategic scientific consulting services that can help you navigate projects, multi-phase studies and related regulatory issues.
QualityMetric’s widely used PRO instruments can be used as patient questionnaires for cancer to assess a range of symptoms, experiences and patient health outcomes across eight domains to close measurement gaps in product lifecycles, oncology research and patient care.
In several adult cancer research studies, patient-reported outcomes in oncology have been known to boost communication between patients and physicians, increase patient satisfaction, improve symptom management and result in higher treatment survival rates.1 With PRO patients with cancer’s survey information in their pockets, researchers and care teams can identify often unseen factors and unmet needs contributing to patient progress, using patient-first data to comprehend the burden of diseases and achieve a number of objectives at the individual, health service and health system levels.2
Common Surveys used for Oncology Research
- The SF-36v2® Health Survey
- The SF-12v2® Health Survey
- The SF-6Dv2™ Health Utility Survey
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1. Riedl, D, Rothmund, M, Darlington, A. Rare use of patient-reported outcomes in childhood cancer clinical trials – a systematic review of clinical trial registries. European Journal of Cancer. 2021;152:90-99. https://doi.org/10.1016/j.ejca.2021.04.023
12. Ahern, S, Ruseckaite, R, Ackerman, I.N. Collecting patient-reported outcome measures. Intern Med J. 2017;47:1454-1457. https://doi.org/10.1111/imj.13633
BENCHMARKS IN SPECIFIC DISEASE CONDITIONS OF ONCOLOGY:
- Breast
- Ovarian
- Prostate
- Cervical
- Uterine
- Colorectal
- Leukemia
- NSCLC
- SCLC
- Lymphoma
- Melanoma
- Metastasis
- Skin
Health-Related Quality of Life Predicted Subsequent Health Care Resource Utilization in Patients with Active Cancer
Quality of Life Research
Read ArticleHumanistic Burden of Disease for Patients with Advanced Melanoma in Canada
Supportive Care in Cancer
Read ArticlePatient-Reported Treatment Related Symptom Burden for Patients with Advanced Melanoma in Canada
Supportive Care in Cancer
Read ArticleProspective Assessment of the Quality of Life Before, During and After Image Guided Intensity Modulated Radiotherapy for Prostate Cancer
Radiation Oncology
Read ArticleWork Stress and Risk of Cancer: Meta-Analysis of 5700 Incident Cancer Events in 116,000 European Men and Women
BMJ
Read ArticleCommon Applications in Oncology
Product
Development
Development
Clinical
Trials
Trials
Regulatory
Approval
Approval
Product
Marketing
Marketing
Population
Health
Health
Interpretation & Insights
QualityMetric’s patient-reported outcome measurements can be utilized in oncology clinical trials, patient lifecycle improvement, treatment evaluation, direct-to-consumer marketing, population management and many other healthcare initiatives.
Combining our eCOA Platform with research expertise, our consultants help your teams develop, validate, implement and analyze PROs with a custom approach. Our services ensure you gain the most meaningful insights on patient-reported data.
Consulting Support- Burden of Disease Analysis
- Treatment Efficacy Analysis
- Categorical Change Analysis
- Depression Screening
- Norm-Based Interpretation of Treatment Effects
- Criterion-Based Interpretation of Change Scores
- Content-Based Interpretation
- Advanced Predictive Interpretation
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