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Related Experiment Videos

Proxies and other external raters: methodological considerations.

A Lynn Snow1, Karon F Cook, Pay-Shin Lin

  • 1Houston Center for Quality Care and Utilization Studies, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, USA.

Health Services Research
|September 24, 2005
PubMed
Summary
This summary is machine-generated.

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This paper clarifies the use of externally rated data in research, defining proxy and other-rated data. Understanding these data types and factors influencing agreement is crucial for accurate health services research.

Area of Science:

  • Psychometrics
  • Health Services Research

Background:

  • Externally rated data, including proxy and other-rated data, are increasingly utilized in health services research.
  • Understanding the nuances of these data types is essential for accurate interpretation and application.

Purpose of the Study:

  • To introduce researchers to the measurement and analysis of externally rated data.
  • To define and differentiate between proxy data and other-rated data.
  • To provide methodological recommendations for analyzing and interpreting these data types.

Main Methods:

  • This study is a psychometric conceptual paper.
  • Data were sourced from published studies and reviews comparing self-rated with externally rated data.

Main Results:

Related Experiment Videos

  • Two categories of externally rated data are defined: proxy data (collected when patients cannot self-report) and other-rated data (collected from individuals other than the patient for multiple perspectives).
  • These data types differ in measurement models, validation standards, analysis strategies, and interpretation.
  • Discrepancies between self- and external ratings are influenced by patient, rater, and construct characteristics, with psychological theories offering predictive insights.

Conclusions:

  • Externally rated data are valuable in health services research.
  • Careful consideration of data nature, analysis, and interpretation is necessary for effective use.