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Related Experiment Videos

A Resource-Based Relative Value for Clinical Research Nurses' Workload.

Sangmi Lee1, Ihn Sook Jeong2

  • 11 Private Practice, Busan, South Korea.

Therapeutic Innovation & Regulatory Science
|May 2, 2018
PubMed
Summary
This summary is machine-generated.

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This study quantified clinical research nurses workload using relative value. "Preparing auditing" was the highest workload, while "paying compensation" was the lowest, aiding in resource allocation.

Area of Science:

  • Nursing Research
  • Healthcare Management
  • Clinical Trials

Background:

  • Assessing clinical research nurse (CRN) workload is crucial for efficient healthcare operations.
  • Existing workload metrics may not accurately reflect the diverse tasks CRNs perform.
  • Standardizing workload measurement can improve resource allocation and job satisfaction.

Purpose of the Study:

  • To measure the relative value (RV) of clinical research nurses' (CRNs') workload.
  • To establish a quantifiable method for assessing CRN workload based on resource-based relative value scale principles.
  • To provide a framework for managers to assign new services or studies to CRNs.

Main Methods:

  • A quantitative, descriptive research design was employed.
  • Data were collected from 70 CRNs across 7 clinical trial institutions using structured questionnaires.
Keywords:
clinical nursing researchnursesrelative value scalesworkload

Related Experiment Videos

  • Relative value of work (RVW) was calculated by multiplying time and relative value of intensity, using "explaining the informed consent" as the reference service.
  • Main Results:

    • The highest CRN workload was identified in "preparing auditing," and the lowest in "paying compensation" among 55 evaluated services.
    • Ten services exhibited higher RV intensity than the reference, 26 were lower, and 18 were equal.
    • Workload consistency varied by specialty, with oncology, cardiology, and endocrinology showing the same highest and lowest RVW services.

    Conclusions:

    • The developed RVW system simplifies the calculation of individual CRN total workload.
    • Managers can utilize RVW for equitable assignment of new services or studies to CRNs.
    • Future research should explore objective methods, such as direct observation, for more precise time calculations in CRN workload assessment.