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Patient reported postoperative pain with a smartphone application: A proof of concept
Postoperative pain management and pain assessment are still lacking the perspective of the patient. We have developed and studied a prototype smartphone application for patients to self-record postoperative pain. The main objective was to collect patient and stakeholder critique of improvements on t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7209286/ https://www.ncbi.nlm.nih.gov/pubmed/32384103 http://dx.doi.org/10.1371/journal.pone.0232082 |
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author | Thiel, Bram Godfried, Marc B. van Huizen, Elise C. Mooijer, Bart C. de Boer, Bouke A. van Mierlo, Rover A. A. M. van Os, Johan Geerts, Bart F. Kalkman, Cor J. |
author_facet | Thiel, Bram Godfried, Marc B. van Huizen, Elise C. Mooijer, Bart C. de Boer, Bouke A. van Mierlo, Rover A. A. M. van Os, Johan Geerts, Bart F. Kalkman, Cor J. |
author_sort | Thiel, Bram |
collection | PubMed |
description | Postoperative pain management and pain assessment are still lacking the perspective of the patient. We have developed and studied a prototype smartphone application for patients to self-record postoperative pain. The main objective was to collect patient and stakeholder critique of improvements on the usability in order to develop a definitive version. The secondary objective was to investigate if patient self-recording compared to nurse-led assessment is a suitable method for postoperative pain management. Fifty patients and a stakeholder group consisting of ten healthcare- and ICT professionals and two members of the patient council participated in this study. MAIN OUTCOME: Thirty patients (60%) found it satisfying or very satisfying to communicate their pain with the app. Pain experienced after surgery was scored by patients as ‘no’: 3 (6%), ‘little’: 5 (10%), ‘bearable’: 25 (50%), ‘considerable’: 13 (26%) and ‘severe’: 1 (2%). Forty-five patients (90%) were positive about the ease of recording. Forty-five patients (90%) could correctly record their pain with the app. Thirty-eight patients (76%) agreed that in-app notifications to record pain were useful. Two patients (4%) were too ill to use the application. Based on usability feedback, we will redesign the pain intensity wheel and the in-app pain chart to improve clarity for patients to understand the course of their pain. SECONDARY OUTCOMES: The median patient recorded pain app score 4.0 (range 0 to 10) and nurse recorded numerical rating scale (NRS) for pain NRS 4.0 (range 0 to 9) were not statistically different (p = 0.06). Forty-two percent from a total of 307 patient pain app scores were ≥ 5 (on a scale from 0 no pain at all to 10 worst imaginable pain). Of these, 83% were recorded as ‘bearable’ while only in 18% of the recordings patients asked for additional analgesia. The results suggest that self-recording the severity of postoperative pain by patients with a smartphone application could be useful for postoperative pain management. The application was perceived as user-friendly and had high satisfaction rates from both patients and stakeholders. Further research is needed to validate the 11-point numeric and faces pain scale with the current gold standards visual analogue scale (VAS) and NRS for pain. |
format | Online Article Text |
id | pubmed-7209286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-72092862020-05-12 Patient reported postoperative pain with a smartphone application: A proof of concept Thiel, Bram Godfried, Marc B. van Huizen, Elise C. Mooijer, Bart C. de Boer, Bouke A. van Mierlo, Rover A. A. M. van Os, Johan Geerts, Bart F. Kalkman, Cor J. PLoS One Research Article Postoperative pain management and pain assessment are still lacking the perspective of the patient. We have developed and studied a prototype smartphone application for patients to self-record postoperative pain. The main objective was to collect patient and stakeholder critique of improvements on the usability in order to develop a definitive version. The secondary objective was to investigate if patient self-recording compared to nurse-led assessment is a suitable method for postoperative pain management. Fifty patients and a stakeholder group consisting of ten healthcare- and ICT professionals and two members of the patient council participated in this study. MAIN OUTCOME: Thirty patients (60%) found it satisfying or very satisfying to communicate their pain with the app. Pain experienced after surgery was scored by patients as ‘no’: 3 (6%), ‘little’: 5 (10%), ‘bearable’: 25 (50%), ‘considerable’: 13 (26%) and ‘severe’: 1 (2%). Forty-five patients (90%) were positive about the ease of recording. Forty-five patients (90%) could correctly record their pain with the app. Thirty-eight patients (76%) agreed that in-app notifications to record pain were useful. Two patients (4%) were too ill to use the application. Based on usability feedback, we will redesign the pain intensity wheel and the in-app pain chart to improve clarity for patients to understand the course of their pain. SECONDARY OUTCOMES: The median patient recorded pain app score 4.0 (range 0 to 10) and nurse recorded numerical rating scale (NRS) for pain NRS 4.0 (range 0 to 9) were not statistically different (p = 0.06). Forty-two percent from a total of 307 patient pain app scores were ≥ 5 (on a scale from 0 no pain at all to 10 worst imaginable pain). Of these, 83% were recorded as ‘bearable’ while only in 18% of the recordings patients asked for additional analgesia. The results suggest that self-recording the severity of postoperative pain by patients with a smartphone application could be useful for postoperative pain management. The application was perceived as user-friendly and had high satisfaction rates from both patients and stakeholders. Further research is needed to validate the 11-point numeric and faces pain scale with the current gold standards visual analogue scale (VAS) and NRS for pain. Public Library of Science 2020-05-08 /pmc/articles/PMC7209286/ /pubmed/32384103 http://dx.doi.org/10.1371/journal.pone.0232082 Text en © 2020 Thiel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Thiel, Bram Godfried, Marc B. van Huizen, Elise C. Mooijer, Bart C. de Boer, Bouke A. van Mierlo, Rover A. A. M. van Os, Johan Geerts, Bart F. Kalkman, Cor J. Patient reported postoperative pain with a smartphone application: A proof of concept |
title | Patient reported postoperative pain with a smartphone application: A proof of concept |
title_full | Patient reported postoperative pain with a smartphone application: A proof of concept |
title_fullStr | Patient reported postoperative pain with a smartphone application: A proof of concept |
title_full_unstemmed | Patient reported postoperative pain with a smartphone application: A proof of concept |
title_short | Patient reported postoperative pain with a smartphone application: A proof of concept |
title_sort | patient reported postoperative pain with a smartphone application: a proof of concept |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7209286/ https://www.ncbi.nlm.nih.gov/pubmed/32384103 http://dx.doi.org/10.1371/journal.pone.0232082 |
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