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Related Experiment Videos

Palliative care program effectiveness research: developing rigor in sampling design, conduct, and reporting.

Marie A Bakitas1, Kathleen Doyle Lyons, Jane Dixon

  • 1Norris Cotton Cancer Center, Lebanon, New Hampshire 03756, and Yale University, New Haven, Connecticut, USA. marie.bakitas@dartmouth.edu

Journal of Pain and Symptom Management
|March 28, 2006
PubMed
Summary
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Palliative care research faces unique sampling hurdles, from defining populations to minimizing patient refusal and bias. Addressing these challenges is crucial for rigorous study design and accurate results in clinical trials.

Area of Science:

  • Palliative Care Research
  • Clinical Trial Methodology
  • Biostatistics and Epidemiology

Background:

  • Palliative care research presents distinct sampling difficulties.
  • These challenges impact study design, execution, and results reporting.
  • Common issues include identifying eligible participants and managing patient/clinician denial.

Purpose of the Study:

  • To articulate the specific sampling challenges encountered in palliative care research.
  • To explore these challenges within the context of a randomized clinical trial.
  • To offer recommendations for enhancing sampling rigor in this field.

Main Methods:

  • The paper reviews sampling challenges across study phases: design, conduct, and reporting.
  • It uses a randomized clinical trial of a palliative care intervention as a case example.

Related Experiment Videos

  • Key challenges discussed include target population identification, selection bias, and refusal rates.
  • Main Results:

    • Sampling difficulties arise from identifying target populations, clinician/patient denial, strict eligibility criteria, high refusal rates, and inaccurate reporting.
    • These issues can compromise the scientific rigor of palliative care studies.
    • A randomized clinical trial context highlights these practical sampling obstacles.

    Conclusions:

    • Improved sampling design in palliative care requires clear target population definition aligned with research goals.
    • Objective and understandable eligibility criteria are essential for successful recruitment.
    • Standardized reporting of target population, eligibility, exclusions, and participation is vital for scientific integrity.