Related Experiment Videos
Measuring outcomes in randomized prospective trials in palliative care.
Richard A Mularski1, Kenneth Rosenfeld, Stephen Joel Coons
1Kaiser Permanente Center for Health Research, Oregon Health and Science University, Portland, OR 97227, USA. Richard.Mularski@kpchr.org
Journal of Pain and Symptom Management
|May 29, 2007
Summary
This study outlines recommendations for measuring palliative care outcomes in research. It emphasizes a comprehensive approach considering patients, families, and healthcare systems for improved quality of life.
Area of Science:
- Palliative Care Research
- Outcomes Measurement
- Clinical Trials
Background:
- Palliative care enhances quality of life and reduces suffering for patients with life-limiting illnesses and their families.
- Assessing palliative care effectiveness requires evaluating diverse outcomes beyond the patient, including family/caregiver, clinician, and healthcare system impacts.
Framework:
- The article summarizes recommendations from an Outcomes Working Group focused on advancing the palliative care research agenda.
- Key areas include conceptualizing palliative care outcomes, identifying data sources, and applying outcome measures within clinical trials.
Implementation:
- Addresses methodological challenges in measuring outcomes within palliative care populations.
- Proposes refining measurement approaches to ensure rigorous and credible answers to clinical questions.
Implications:
- Enhancing the rigor of palliative care research through standardized and comprehensive outcome measurement.
- Improving the evidence base for palliative care interventions to better support patients and families.
Related Concept Videos
01:11Guidelines for Writing Outcome
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
01:24Kaplan-Meier Approach
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
01:21Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
01:20Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
01:16Clinical Trials
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
There are four phases in a clinical trial. A phase one...