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Quality of Life Research

Gepubliceerd in:

23-02-2019

Leveraging Latent Dirichlet Allocation in processing free-text personal goals among patients undergoing bladder cancer surgery

Auteurs: Yuelin Li, Bruce Rapkin, Thomas M. Atkinson, Elizabeth Schofield, Bernard H. Bochner

Gepubliceerd in: Quality of Life Research | Uitgave 6/2019

Abstract

Purpose

As we begin to leverage Big Data in health care settings and particularly in assessing patient-reported outcomes, there is a need for novel analytics to address unique challenges. One such challenge is in coding transcribed interview data, typically free-text entries of statements made during a face-to-face interview. Latent Dirichlet Allocation (LDA) offers statistical rigor and consistency in automating the interpretation of patients’ expressed concerns and coping strategies.

Methods

LDA was applied to interview data collected as part of a prospective, longitudinal study of QOL in N = 211 patients undergoing radical cystectomy and urinary diversion for bladder cancer. LDA analyzed personal goal statements to extract the latent topics and themes, stratified by time, and on things patients wanted to accomplish and prevent. Model comparison metrics determined the number of topics to extract.

Results

LDA extracted seven latent topics. Prior to surgery, patients’ priorities were primarily in cancer surgery and recovery. Six months after the surgery, they were replaced by goals on regaining a sense of normalcy, to resume work, to enjoy life more fully, and to appreciate friends and family more. LDA model parameters showed changing priorities, e.g., immediate concerns on surgery and resuming employment decreased post-surgery and were replaced by concerns over cancer recurrence and a desire to remain healthy and strong.

Conclusions

Novel Big Data analytics such as LDA offer the possibility of summarizing personal goals without the need for conventional fixed-length measures and resource-intensive qualitative data coding.

vorige artikel ICECAP-O, the current state of play: a systematic review of studies reporting the psychometric properties and use of the instrument over the decade since its publication

volgende artikel Prevalence of mental health conditions and pain in adults with skeletal dysplasia

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Titel: Leveraging Latent Dirichlet Allocation in processing free-text personal goals among patients undergoing bladder cancer surgery
Auteurs: Yuelin Li
Bruce Rapkin
Thomas M. Atkinson
Elizabeth Schofield
Bernard H. Bochner
Publicatiedatum: 23-02-2019
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 6/2019
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-019-02132-w

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Abstract

Purpose

Methods

Results

Conclusions

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