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The development and acceptability of symptom management quality improvement reports based on patient-reported data: an overview of methods used in PROSSES

Overview of attention for article published in Quality of Life Research, June 2016
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Title
The development and acceptability of symptom management quality improvement reports based on patient-reported data: an overview of methods used in PROSSES
Published in
Quality of Life Research, June 2016
DOI 10.1007/s11136-016-1305-7
Pubmed ID
Authors

Alyssa Troeschel, Tenbroeck Smith, Kathleen Castro, Katherine Treiman, Joseph Lipscomb, Ryan M. McCabe, Steven Clauser, Eliot L. Friedman, Patricia D. Hegedus, Kenneth Portier

Abstract

Patient experiences with symptom care need to be assessed and documented to ensure successful management of cancer-related symptoms. This paper details one method for creating symptom management quality improvement (SMQI) reports, including case-mix adjustment of patient-reported measures. Qualitative data regarding the acceptability of these reports at participating cancer centers (CCs) are also provided. Data were collected from 2226 patients treated at 16 CCs via mailed/Web questionnaires. Twelve items assessing patient perceptions of symptom management-pain, fatigue, emotional distress-served as key quality indicators. Medico-demographic variables suitable for case-mix adjustment were selected using an index score combining predictive power and heterogeneity across CCs. SMQI reports were designed with staff feedback and produced for each CC, providing crude and adjusted CC-specific rates, along with study-wide rates for comparison purposes. Cancer type and participant educational level were selected for case-mix adjustment based upon high index scores. The Kendall rank correlation coefficient showed that case-mix adjustments changed the ranking of CCs on the key quality indicators (% Δ rank range: 5-22 %). The key quality indicators varied across CCs (all p < 0.02). SMQI reports were well received by CC staff, who described plans to share them with key personnel (e.g., cancer committee, navigator). This paper provides one method for creating hospital-level SMQI reports, including case-mix adjustment. Variation between CCs on key quality indicators, even after adjustment, suggested room for improvement. SMQI reports based on patient-reported data can inform and motivate efforts to improve care through professional/patient education and applying standards of care.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 25%
Researcher 6 13%
Other 5 10%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 4 8%
Other 3 6%
Unknown 13 27%
Readers by discipline Count As %
Nursing and Health Professions 7 15%
Medicine and Dentistry 7 15%
Psychology 4 8%
Social Sciences 3 6%
Computer Science 2 4%
Other 6 13%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 June 2016.
All research outputs
#20,334,427
of 22,879,161 outputs
Outputs from Quality of Life Research
#2,585
of 2,849 outputs
Outputs of similar age
#305,332
of 352,801 outputs
Outputs of similar age from Quality of Life Research
#69
of 71 outputs
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We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.