Configural frequency analysis as a method of determining patients' preferred decision-making roles in dialysis
2010

Understanding Patient Preferences in Dialysis Decision Making

Sample size: 6318 publication 10 minutes Evidence: moderate

Author Information

Author(s): Loeffert Sabine, Ommen Oliver, Kuch Christine, Scheibler Fueloep, Woehrmann Andrej, Baldamus Conrad, Pfaff Holger

Primary Institution: University of Cologne

Hypothesis

The study aims to identify types of patients wishing to participate in treatment decisions based on a survey of dialysis patients in Germany.

Conclusion

The study introduced prediction configural frequency analysis to show how control preference roles in treatment decisions are determined by five variables.

Supporting Evidence

  • 21 possible prediction types were identified in the exploratory sample.
  • Four patient types were confirmed in the confirmatory analysis.
  • Patients preferring a passive role showed low information-seeking preference and higher trust in their physician.
  • Patients preferring an active role had high information-seeking preference and were generally younger.

Takeaway

This study looked at how different patients want to be involved in their treatment decisions, finding that some prefer to be very involved while others want to leave it to their doctors.

Methodology

The study used configural frequency analysis to identify patient types based on sociodemographic and psychosocial factors.

Potential Biases

The results might be influenced by interactions between physician behavior and dialysis centers.

Limitations

The study may be biased due to the multilevel design and potential selection bias from patient recruitment.

Participant Demographics

Patients were primarily dialysis patients from Germany, with a mean age of 63.9 years, and included both genders.

Statistical Information

P-Value

<0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1186/1472-6947-10-47

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