Evidence map›Paper›PMID 32910076›Full record

ArticleFemale pelvic medicine & reconstructive surgery2021

Using Digital Ethnography to Understand the Experience of Women With Pelvic Organ Prolapse.

Gabriela Gonzalez, Kristina Vaculik, Carine Khalil, Yuliya Zektser, Corey Arnold, Christopher V Almario, Brennan M R Spiegel, Jennifer T Anger

Open access · greenAbstract read
In one paragraph

Article in Female pelvic medicine & reconstructive surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Postnatal Prolapse Care in the UK: A Qualitative Study.Journal of primary care & community health
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Gabriela GonzalezFrom the Department of Urology, University of California, Davis School of Medicine, Sacramento.
Kristina VaculikCedars-Sinai Center for Outcomes Research and Education (CS-CORE).
Carine KhalilCedars-Sinai Center for Outcomes Research and Education (CS-CORE).
Yuliya ZektserFrom the Department of Urology, University of California, Davis School of Medicine, Sacramento.
Corey ArnoldMedical Imaging Informatics, Department of Radiology, UCLA, Los Angeles, CA.
Christopher V AlmarioCedars-Sinai Center for Outcomes Research and Education (CS-CORE).
Brennan M R SpiegelCedars-Sinai Center for Outcomes Research and Education (CS-CORE).
Jennifer T AngerDivision of Urology, Department of Surgery, Cedars-Sinai Medical Center.
Cedars-Sinai Medical Center · USUniversity of California, Davis · US

Funding

Prevention of Lower Urinary Tract Symptoms in Women: Bladder Health Scientific and Data Coordinating Center (PLUS-SDCC) (U01)U01DK106786 · NIDDK · UNIVERSITY OF MINNESOTA · PI HARLOW, BERNARD L, RUDSER, KYLE · 2015 to 2019
$8.4M
Prevention of Lower Urinary Tract Symptoms (PLUS) Research Consortium Scientific and Data Coordinating CenterU24DK106786 · NIDDK · UNIVERSITY OF MINNESOTA · PI MCGWIN, GERALD, RUDSER, KYLE · 2020 to 2024
$7.1M
NIDDK NIH HHS U01 DK106786NIDDK NIH HHS U24 DK106786
6 · The paper itself

Abstract

objectiveTo characterize the decision-making process and illness experience of women with pelvic organ prolapse (POP) using large-scale social media analysis.

methodsDigital ethnographic analysis of online posts identified through data mining was performed. Grounded theory methodology was applied to 200 posts via traditional hand coding. To supplement our qualitative approach, we applied a Latent Dirichlet Allocation probabilistic topic modeling process to review the entire data set of identified posts to ensure thematic saturation.

resultsThere were 3451 posts by 2088 unique users from 117 websites worldwide that were identified via social media data mining. We found that the anonymity of online forums allowed for information and support exchange among women with POP. Our analysis revealed that the exchange of online information aids in the decision-making process and, in some instances, appears to be the primary source of information. There was confusion about the anatomical and surgical complexities of prolapse. Our study also identified misconceptions, perceived risk factors, prevention methods, and management recommendations that were discussed online.

conclusionsThis large-scale online community-based analysis demonstrated the utility of social media to better understand women's experiences with POP. Thematic findings highlighted essential concerns and challenges involved in the surgical decision-making process and the understating of the anatomical complexity of sector defects, specifically to cystocele, rectocele, State specific defects.

Indexed as

Health Knowledge, Attitudes, PracticeSocial MediaAnthropology, CulturalData MiningDecision MakingFemaleGrounded TheoryHumansPelvic Organ ProlapseQualitative Research

Identifiers

PMID32910076
PMCPMC9354566
OpenAlexW3084235175

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.