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Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method

BACKGROUND: The experience sampling method (ESM) holds advantages over traditional retrospective questionnaires including a high ecological validity, no recall bias, the ability to assess fluctuation of symptoms, and the ability to analyze the temporal relationship between variables. OBJECTIVE: This...

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Autores principales: van Barneveld, Esther, Lim, Arianne, van Hanegem, Nehalennia, van Osch, Frits, Vork, Lisa, Kruimel, Joanna, Bongers, Marlies, Leue, Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024211/
https://www.ncbi.nlm.nih.gov/pubmed/36867439
http://dx.doi.org/10.2196/29480
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author van Barneveld, Esther
Lim, Arianne
van Hanegem, Nehalennia
van Osch, Frits
Vork, Lisa
Kruimel, Joanna
Bongers, Marlies
Leue, Carsten
author_facet van Barneveld, Esther
Lim, Arianne
van Hanegem, Nehalennia
van Osch, Frits
Vork, Lisa
Kruimel, Joanna
Bongers, Marlies
Leue, Carsten
author_sort van Barneveld, Esther
collection PubMed
description BACKGROUND: The experience sampling method (ESM) holds advantages over traditional retrospective questionnaires including a high ecological validity, no recall bias, the ability to assess fluctuation of symptoms, and the ability to analyze the temporal relationship between variables. OBJECTIVE: This study aimed to evaluate the psychometric properties of an endometriosis-specific ESM tool. METHODS: This is a short-term follow-up prospective study, including patients with premenopausal endometriosis aged ≥18 years who reported dysmenorrhea, chronic pelvic pain, or dyspareunia between December 2019 and November 2020. An ESM-based questionnaire was sent out by a smartphone application 10 times a day during 1 week on randomly chosen moments. Additionally, patients completed questionnaires concerning demographics, end-of-day pain scores, and end-of-week symptom scores. The psychometric evaluation included compliance, concurrent validity, and internal consistency. RESULTS: Twenty-eight patients with endometriosis completed the study. Compliance for answering the ESM questions was as high as 52%. End-of-week pain scores were higher than ESM mean scores and showed peak reporting. ESM scores showed strong concurrent validity when compared with symptoms scored by the Gastrointestinal Symptom Rating Scale–Irritable Bowel Syndrome, 7-item Generalized Anxiety Disorders Scale, 9-question Patient Health Questionnaire, and the majority of questions of the 30-item Endometriosis Health Profile. Cronbach α coefficients demonstrated a good internal consistency for abdominal symptoms, general somatic symptoms, and positive affect, and an excellent internal consistency for negative affect. CONCLUSIONS: This study supports the validity and reliability of a newly developed electronic instrument for the measurement of symptoms in women with endometriosis, based on momentary assessments. This ESM patient-reported outcome measure has the advantage of providing a more detailed view on individual symptom patterns and offers the possibility for patients to have insight in their symptomatology, leading to more individualized treatment strategies that can improve the quality of life of women with endometriosis.
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spelling pubmed-100242112023-03-19 Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method van Barneveld, Esther Lim, Arianne van Hanegem, Nehalennia van Osch, Frits Vork, Lisa Kruimel, Joanna Bongers, Marlies Leue, Carsten JMIR Form Res Original Paper BACKGROUND: The experience sampling method (ESM) holds advantages over traditional retrospective questionnaires including a high ecological validity, no recall bias, the ability to assess fluctuation of symptoms, and the ability to analyze the temporal relationship between variables. OBJECTIVE: This study aimed to evaluate the psychometric properties of an endometriosis-specific ESM tool. METHODS: This is a short-term follow-up prospective study, including patients with premenopausal endometriosis aged ≥18 years who reported dysmenorrhea, chronic pelvic pain, or dyspareunia between December 2019 and November 2020. An ESM-based questionnaire was sent out by a smartphone application 10 times a day during 1 week on randomly chosen moments. Additionally, patients completed questionnaires concerning demographics, end-of-day pain scores, and end-of-week symptom scores. The psychometric evaluation included compliance, concurrent validity, and internal consistency. RESULTS: Twenty-eight patients with endometriosis completed the study. Compliance for answering the ESM questions was as high as 52%. End-of-week pain scores were higher than ESM mean scores and showed peak reporting. ESM scores showed strong concurrent validity when compared with symptoms scored by the Gastrointestinal Symptom Rating Scale–Irritable Bowel Syndrome, 7-item Generalized Anxiety Disorders Scale, 9-question Patient Health Questionnaire, and the majority of questions of the 30-item Endometriosis Health Profile. Cronbach α coefficients demonstrated a good internal consistency for abdominal symptoms, general somatic symptoms, and positive affect, and an excellent internal consistency for negative affect. CONCLUSIONS: This study supports the validity and reliability of a newly developed electronic instrument for the measurement of symptoms in women with endometriosis, based on momentary assessments. This ESM patient-reported outcome measure has the advantage of providing a more detailed view on individual symptom patterns and offers the possibility for patients to have insight in their symptomatology, leading to more individualized treatment strategies that can improve the quality of life of women with endometriosis. JMIR Publications 2023-03-03 /pmc/articles/PMC10024211/ /pubmed/36867439 http://dx.doi.org/10.2196/29480 Text en ©Esther van Barneveld, Arianne Lim, Nehalennia van Hanegem, Frits van Osch, Lisa Vork, Joanna Kruimel, Marlies Bongers, Carsten Leue. Originally published in JMIR Formative Research (https://formative.jmir.org), 03.03.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
van Barneveld, Esther
Lim, Arianne
van Hanegem, Nehalennia
van Osch, Frits
Vork, Lisa
Kruimel, Joanna
Bongers, Marlies
Leue, Carsten
Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method
title Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method
title_full Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method
title_fullStr Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method
title_full_unstemmed Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method
title_short Real-time Symptom Assessment in Patients With Endometriosis: Psychometric Evaluation of an Electronic Patient-Reported Outcome Measure, Based on the Experience Sampling Method
title_sort real-time symptom assessment in patients with endometriosis: psychometric evaluation of an electronic patient-reported outcome measure, based on the experience sampling method
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024211/
https://www.ncbi.nlm.nih.gov/pubmed/36867439
http://dx.doi.org/10.2196/29480
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