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. 2013 Jun 5:4:7-20.
doi: 10.2147/PROM.S44694. Print 2013.

A systematic review of patient-reported measures of burden of treatment in three chronic diseases

David T Eton  1 , Tarig A Elraiyah, Kathleen J Yost, Jennifer L Ridgeway, Anna Johnson, Jason S Egginton, Rebecca J Mullan, Mohammad Hassan Murad, Patricia J Erwin, Victor M Montori
Affiliations

A systematic review of patient-reported measures of burden of treatment in three chronic diseases

David T Eton et al. Patient Relat Outcome Meas. .

Abstract

Background: Burden of treatment refers to the workload of health care and its impact on patient functioning and well-being. There are a number of patient-reported measures that assess burden of treatment in single diseases or in specific treatment contexts. A review of such measures could help identify content for a general measure of treatment burden that could be used with patients dealing with multiple chronic conditions. We reviewed the content and psychometric properties of patient-reported measures that assess aspects of treatment burden in three chronic diseases, ie, diabetes, chronic kidney disease, and heart failure.

Methods: We searched Ovid MEDLINE, Ovid EMBASE, Ovid PsycINFO, and EBSCO CINAHL through November 2011. Abstracts were independently reviewed by two people, with disagreements adjudicated by a third person. Retrieved articles were reviewed to confirm relevance, with patient-reported measures scrutinized to determine consistency with the definition of burden of treatment. Descriptive information and psychometric properties were extracted.

Results: A total of 5686 abstracts were identified from the database searches. After abstract review, 359 full-text articles were retrieved, of which 76 met our inclusion criteria. An additional 22 articles were identified from the references of included articles. From the 98 studies, 57 patient-reported measures of treatment burden (full measures or components within measures) were identified. Most were multi-item scales (89%) and assessed treatment burden in diabetes (82%). Only 15 measures were developed using direct patient input and had demonstrable evidence of reliability, scale structure, and multiple forms of validity; six of these demonstrated evidence of sensitivity to change. We identified 12 content domains common across measures and disease types.

Conclusion: Available measures of treatment burden in single diseases can inform derivation of a patient-centered measure of the construct in patients with multiple chronic conditions. Patients should take part in developing the measure to ensure salience and relevance.

Keywords: patient-centered; patient-reported outcomes; psychometric properties; questionnaire; self-management; treatment burden.

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Figures

Figure 1
Figure 1
Flow diagram of study screening and selection.
See this image and copyright information in PMC

References

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