Evidence map›Paper›PMID 34859610›Full record

ArticleNursing open2022

Barriers to self-management of patients with adenomyosis: A qualitative study.

Rong Huang, Xiaohan Li, Hui Jiang, Quanlei Li

Abstract read
In one paragraph

Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Modern view on the diagnostics and treatment of adenomyosis.Archives of gynecology and obstetrics · 2023
    Review
  8. 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

4 authors.

Rong HuangNursing Department, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID 0000-0002-5840-3553
Xiaohan LiNursing Department, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Hui JiangNursing Department, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Quanlei LiSchool of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to explore the barriers to self-management of patients with adenomyosis.

designPhenomenological qualitative methodology.

methodsTotally, 18 patients with diagnosis of adenomyosis participated in this study. We used purposive sampling for recruitment until data saturation. A qualitative research was conducted using in-depth interviews, which were tape recorded and transcribed verbatim. Colaizzi's method was used to analyse the contents of interviews.

resultsThis study presented important information about the barriers to self-management of patients with adenomyosis in China. Four themes were identified: "lack of disease knowledge," "challenges and dilemmas of daily life," "multidimensional negative emotions" and "personalized supporting requirements."

conclusionThe study provided new insights into the barriers to self-management of patients with adenomyosis, including physical, psychological, daily life and self-image problems, and the patients need emotional and social support, which recommended that professionals should provide authoritative health education and multiple support.

Indexed as

AdenomyosisSelf-ManagementEmotionsHumansQualitative ResearchSelf ConceptadenomyosisChinese womennursingqualitative researchself-management

Identifiers

PMID34859610
PMCPMC8859064

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.