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Statistical methods for measuring outcomes

G Dunn1

  • 1Department of Biostatistics and Computing, Institute of Psychiatry, De Crespigny Park, London.

Social Psychiatry and Psychiatric Epidemiology
|September 1, 1994
PubMed
Summary
This summary is machine-generated.

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Routinely using outcome measures in clinical practice requires careful consideration. Interpreting data from structured projects is challenging, and haphazard data collection poses greater difficulties for mental health service evaluation.

Area of Science:

  • Clinical Practice
  • Mental Health Service Evaluation
  • Health Outcomes Research

Background:

  • The routine use of outcome measures in clinical practice is increasingly promoted.
  • However, the benefits and interpretability of these measures warrant critical examination.

Purpose of the Study:

  • To caution healthcare providers about the potential difficulties in routinely using outcome measures.
  • To highlight challenges in interpreting data derived from outcome measures, particularly in mental health care.

Main Methods:

  • Analysis of data from a structured research project evaluating a mental health care innovation.
  • Discussion of the interpretational challenges encountered with this data.

Main Results:

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  • Significant difficulties exist in interpreting data from structured outcome measure research.
  • Interpreting haphazardly collected data in routine practice presents even greater challenges.

Conclusions:

  • Healthcare providers should exercise extreme caution before adopting routine outcome measure use.
  • For robust mental health service evaluation, participation in large multicentre trials is recommended over routine data collection.