清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Psychosocial Needs of Gynecological Cancer Survivors: Mixed Methods Study

社会心理的 生存曲线 社会支持 医学 社会化媒体 心理学 癌症 家庭医学 老年学 心理治疗师 万维网 计算机科学 内科学 精神科
作者
Elizabeth J. Adams,David Tallman,Marcy Haynam,Larissa Nekhlyudov,Maryam B. Lustberg
出处
期刊:Journal of Medical Internet Research [JMIR Publications]
卷期号:24 (9): e37757-e37757 被引量:2
标识
DOI:10.2196/37757
摘要

Internet and social media platforms offer insights into the lived experiences of survivors of cancer and their caregivers; however, the volume of narrative data available is often cumbersome for thorough analysis. Survivors of gynecological cancer have unique needs, such as those related to a genetic predisposition to future cancers, impact of cancer on sexual health, the advanced stage at which many are diagnosed, and the influx of new therapeutic approaches.This study aimed to present a unique methodology to leverage large amounts of data from internet-based platforms for mixed methods analysis. We analyzed discussion board posts made by survivors of gynecological cancer on the American Cancer Society website with a particular interest in evaluating the psychosocial aspects of survivorship.All posts from the ovarian, uterine, and gynecological cancers (other than ovarian and uterine) discussion boards on the American Cancer Society Cancer Survivors Network were included. Posts were web scraped using Python and organized by psychosocial themes described in the Quality of Cancer Survivorship Care Framework. Keywords related to each theme were generated and verified. Keywords identified posts related to the predetermined psychosocial themes. Quantitative analysis was completed using Python and R Foundation for Statistical Computing packages. Qualitative analysis was completed on a subset of posts as a proof of concept. Themes discovered through latent Dirichlet allocation (LDA), an unsupervised topic modeling technique, were assessed and compared with the predetermined themes of interest.A total of 125,498 posts made by 6436 survivors of gynecological cancer and caregivers between July 2000 and February 2020 were evaluated. Of the 125,489 posts, 23,458 (18.69%) were related to the psychosocial experience of cancer and were included in the mixed methods psychosocial analysis. Quantitative analysis (23,458 posts) revealed that survivors across all gynecological cancer discussion boards most frequently discussed the role of friends and family in care, as well as fatigue, the effect of cancer on interpersonal relationships, and health insurance status. Words related to psychosocial aspects of survivorship most often used in posts included "family," "hope," and "help." Qualitative analysis (20 of the 23,458 posts) similarly demonstrated that survivors frequently discussed coping strategies, distress and worry, the role of family and caregivers in their cancer care, and the toll of managing financial and insurance concerns. Using LDA, we discovered 8 themes, none of which were directly related to psychosocial aspects of survivorship. Of the 56 keywords identified by LDA, 2 (4%), "sleep" and "work," were included in the keyword list that we independently devised.Web-based discussion platforms offer a great opportunity to learn about patient experiences of survivorship. Our novel methodology expedites the quantitative and qualitative analyses of such robust data, which may be used for additional patient populations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Crystal完成签到,获得积分10
51秒前
落后的慕梅完成签到 ,获得积分10
55秒前
59秒前
呃呃发布了新的文献求助10
1分钟前
自然亦凝完成签到,获得积分10
1分钟前
智者雨人完成签到 ,获得积分10
1分钟前
会飞的螃蟹完成签到,获得积分10
1分钟前
2分钟前
JiangY完成签到,获得积分10
2分钟前
白面包不吃鱼完成签到 ,获得积分10
2分钟前
3分钟前
zhangpeipei完成签到,获得积分10
3分钟前
junjie完成签到 ,获得积分10
3分钟前
3分钟前
wave8013完成签到 ,获得积分10
3分钟前
灿烂而孤独的八戒完成签到 ,获得积分0
4分钟前
如意秋珊完成签到 ,获得积分10
4分钟前
李爱国应助胖虎虎采纳,获得10
4分钟前
玛卡巴卡爱吃饭完成签到 ,获得积分10
4分钟前
tlh完成签到 ,获得积分10
5分钟前
科研go完成签到,获得积分10
5分钟前
Simpson完成签到 ,获得积分0
5分钟前
mlv应助科研通管家采纳,获得10
5分钟前
小马甲应助呃呃采纳,获得10
5分钟前
随心所欲完成签到 ,获得积分10
6分钟前
6分钟前
自律发布了新的文献求助10
6分钟前
舒心宛完成签到,获得积分20
6分钟前
6分钟前
舒心宛发布了新的文献求助10
6分钟前
上官若男应助舒心宛采纳,获得10
7分钟前
7分钟前
Lh发布了新的文献求助10
7分钟前
7分钟前
8分钟前
8分钟前
xing发布了新的文献求助10
8分钟前
呃呃发布了新的文献求助10
8分钟前
8分钟前
玻璃球完成签到 ,获得积分10
8分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
T/SNFSOC 0002—2025 独居石精矿碱法冶炼工艺技术标准 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6042714
求助须知:如何正确求助?哪些是违规求助? 7797404
关于积分的说明 16237420
捐赠科研通 5188429
什么是DOI,文献DOI怎么找? 2776454
邀请新用户注册赠送积分活动 1759531
关于科研通互助平台的介绍 1643050