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Quality of Life Research

12-05-2024

Undergoing Lung Surgery (PSA-Lung) was appropriate for symptom assessment after discharge

Authors: Xueyao Su, Yanyan Huang, Ruoyan Gong, Wei Xu, Wei Dai, Yang Pu, Jingwen Yu, Qingsong Yu, Lijun Zhang, Jiayuan Zhang, Qiuling Shi

Published in: Quality of Life Research

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Abstract

Purpose

To examine whether a 7-day or 24-h recall period of Perioperative Symptom Assessment for Patients Undergoing Lung Surgery (PSA-Lung) was appropriate for symptom assessment after discharge.

Methods

A total of 377 patients were recruited in a cohort study of patients who underwent lung surgery. We measured patient symptoms daily and weekly using the two recall period versions of the PSA-Lung scale, respectively. The psychometric properties of both versions were calculated. Spearman rank correlation coefficients and kappa (k) coefficients were used to measure the association between items score measured by the two version scales each week. Cohen’s d effect size and mixed linear model were used to measure responsiveness to change over time.

Results

Spearman rank correlation coefficients between the symptom scores generated by the 7-day and 24-h versions (range 0.48–0.77; all P < 0.05). The correlations increased in patients in stable condition (weekly symptom change < 2). Cronbach’s α coefficients for both ratings were > 0.87 and both had good test–retest reliability. The longitudinal analysis and Cohen’s d effect sizes showed that both ratings had good ability to detect changes in all items.

Conclusion

The 7-day retrospective scale was as effective as the 24-h retrospective scale in terms of psychometric performance. In the stage where the patient’s symptoms change rapidly, it is recommended to use the 24-h retrospective scale for symptom monitoring. On the contrary, in a stable state, it can be considered to use the 7-day retrospective scale for monitoring to reduce the patient’s burden.

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Appendix
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Metadata
Title
Undergoing Lung Surgery (PSA-Lung) was appropriate for symptom assessment after discharge
Authors
Xueyao Su
Yanyan Huang
Ruoyan Gong
Wei Xu
Wei Dai
Yang Pu
Jingwen Yu
Qingsong Yu
Lijun Zhang
Jiayuan Zhang
Qiuling Shi
Publication date
12-05-2024
Publisher
Springer International Publishing
Published in
Quality of Life Research
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-024-03636-w

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