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Listening to the HysterSisters: A Retrospective Keyword Frequency Analysis of Conversations About Hysterectomy Recovery

BACKGROUND: In the postoperative period, individual patient experiences vary widely and are based on a diverse set of input variables influenced by all stakeholders in and throughout the surgical process. Although clinical research has primarily focused on clinical and administrative datasets to cha...

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Autores principales: Dave, Arpit, Yi, Johnny, Boothe, Andy, Brashear, Helene, Byrne, Jeffrey, Gad, Yash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735658/
https://www.ncbi.nlm.nih.gov/pubmed/33393919
http://dx.doi.org/10.2196/10728
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author Dave, Arpit
Yi, Johnny
Boothe, Andy
Brashear, Helene
Byrne, Jeffrey
Gad, Yash
author_facet Dave, Arpit
Yi, Johnny
Boothe, Andy
Brashear, Helene
Byrne, Jeffrey
Gad, Yash
author_sort Dave, Arpit
collection PubMed
description BACKGROUND: In the postoperative period, individual patient experiences vary widely and are based on a diverse set of input variables influenced by all stakeholders in and throughout the surgical process. Although clinical research has primarily focused on clinical and administrative datasets to characterize the postoperative recovery experience, there is increasing interest in patient-reported outcome measures (PROMs). The growth of online communities in which patients themselves participate provides a venue to study PROMs directly. One such forum-based community is HysterSisters, dedicated to helping individuals through the experience of hysterectomy, a major surgery which removes the uterus. The surgery can be performed by a variety of methods such as minimally invasive approaches or the traditional abdominal approach using a larger incision. The community offers support for “medical and emotional issues [...] from diagnosis, to treatment, to recovery.” Users can specify when and what type of hysterectomy they underwent. They can discuss their shared experience of hysterectomy and provide, among other interactions, feedback, reassurance, sympathy, or advice, thus providing a unique view into conversations surrounding the hysterectomy experience. OBJECTIVE: We aimed to characterize conversations about hysterectomy recovery as experienced by users of the HysterSisters online community. METHODS: A retrospective keyword frequency analysis of the HysterSisters Hysterectomy Recovery forum was performed. RESULTS: Within the Hysterectomy Recovery forum, 33,311 unique users declared their hysterectomy date and type and posted during the first 12 weeks postsurgery. A taxonomy of 8 primary symptom groups was created using a seed list of keywords generated from a term frequency analysis of these threads. Pain and bleeding were the two most mentioned symptom groups and account for almost half of all symptom mentions (19,965/40,127). For symptoms categories such as pain and hormones and emotions, there was no difference in the proportion of users mentioning related keywords, regardless of the type of hysterectomy, whereas bleeding-related or intimacy-related keywords were mentioned more frequently by users undergoing certain minimally invasive approaches when compared with those undergoing abdominal hysterectomy. Temporal patterns in symptom mentions were noted as well. The majority of all posting activity occurred in the first 3 weeks. Across all keyword groups, individuals reporting minimally invasive procedures ceased forum use of these keywords significantly earlier than those reporting abdominal hysterectomy. Peaks in conversation volume surrounding particular symptom categories were also identified at 1, 3, and 6 weeks postoperatively. CONCLUSIONS: The HysterSisters Hysterectomy Recovery forum and other such forums centered on users’ health care experience can provide novel actionable insights that can improve patient-centered care during the postoperative period. This study adds another dimension to the utility of social media analytics by demonstrating that measurement of post volumes and distribution of symptom mentions over time reveal key opportunities for beneficial symptom-specific patient engagement.
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spelling pubmed-77356582020-12-17 Listening to the HysterSisters: A Retrospective Keyword Frequency Analysis of Conversations About Hysterectomy Recovery Dave, Arpit Yi, Johnny Boothe, Andy Brashear, Helene Byrne, Jeffrey Gad, Yash JMIR Perioper Med Original Paper BACKGROUND: In the postoperative period, individual patient experiences vary widely and are based on a diverse set of input variables influenced by all stakeholders in and throughout the surgical process. Although clinical research has primarily focused on clinical and administrative datasets to characterize the postoperative recovery experience, there is increasing interest in patient-reported outcome measures (PROMs). The growth of online communities in which patients themselves participate provides a venue to study PROMs directly. One such forum-based community is HysterSisters, dedicated to helping individuals through the experience of hysterectomy, a major surgery which removes the uterus. The surgery can be performed by a variety of methods such as minimally invasive approaches or the traditional abdominal approach using a larger incision. The community offers support for “medical and emotional issues [...] from diagnosis, to treatment, to recovery.” Users can specify when and what type of hysterectomy they underwent. They can discuss their shared experience of hysterectomy and provide, among other interactions, feedback, reassurance, sympathy, or advice, thus providing a unique view into conversations surrounding the hysterectomy experience. OBJECTIVE: We aimed to characterize conversations about hysterectomy recovery as experienced by users of the HysterSisters online community. METHODS: A retrospective keyword frequency analysis of the HysterSisters Hysterectomy Recovery forum was performed. RESULTS: Within the Hysterectomy Recovery forum, 33,311 unique users declared their hysterectomy date and type and posted during the first 12 weeks postsurgery. A taxonomy of 8 primary symptom groups was created using a seed list of keywords generated from a term frequency analysis of these threads. Pain and bleeding were the two most mentioned symptom groups and account for almost half of all symptom mentions (19,965/40,127). For symptoms categories such as pain and hormones and emotions, there was no difference in the proportion of users mentioning related keywords, regardless of the type of hysterectomy, whereas bleeding-related or intimacy-related keywords were mentioned more frequently by users undergoing certain minimally invasive approaches when compared with those undergoing abdominal hysterectomy. Temporal patterns in symptom mentions were noted as well. The majority of all posting activity occurred in the first 3 weeks. Across all keyword groups, individuals reporting minimally invasive procedures ceased forum use of these keywords significantly earlier than those reporting abdominal hysterectomy. Peaks in conversation volume surrounding particular symptom categories were also identified at 1, 3, and 6 weeks postoperatively. CONCLUSIONS: The HysterSisters Hysterectomy Recovery forum and other such forums centered on users’ health care experience can provide novel actionable insights that can improve patient-centered care during the postoperative period. This study adds another dimension to the utility of social media analytics by demonstrating that measurement of post volumes and distribution of symptom mentions over time reveal key opportunities for beneficial symptom-specific patient engagement. JMIR Publications 2019-09-26 /pmc/articles/PMC7735658/ /pubmed/33393919 http://dx.doi.org/10.2196/10728 Text en ©Arpit Dave, Johnny Yi, Andy Boothe, Helene Brashear, Jeffrey Byrne, Yash Gad. Originally published in JMIR Perioperative Medicine (http://periop.jmir.org), 26.09.2019 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 Perioperative Medicine, is properly cited. The complete bibliographic information, a link to the original publication on http://periop.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Dave, Arpit
Yi, Johnny
Boothe, Andy
Brashear, Helene
Byrne, Jeffrey
Gad, Yash
Listening to the HysterSisters: A Retrospective Keyword Frequency Analysis of Conversations About Hysterectomy Recovery
title Listening to the HysterSisters: A Retrospective Keyword Frequency Analysis of Conversations About Hysterectomy Recovery
title_full Listening to the HysterSisters: A Retrospective Keyword Frequency Analysis of Conversations About Hysterectomy Recovery
title_fullStr Listening to the HysterSisters: A Retrospective Keyword Frequency Analysis of Conversations About Hysterectomy Recovery
title_full_unstemmed Listening to the HysterSisters: A Retrospective Keyword Frequency Analysis of Conversations About Hysterectomy Recovery
title_short Listening to the HysterSisters: A Retrospective Keyword Frequency Analysis of Conversations About Hysterectomy Recovery
title_sort listening to the hystersisters: a retrospective keyword frequency analysis of conversations about hysterectomy recovery
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735658/
https://www.ncbi.nlm.nih.gov/pubmed/33393919
http://dx.doi.org/10.2196/10728
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