Evidence map›Paper›PMID 40255313›Full record

ArticleBioinformation2025

Nursing interventions on self-care and quality of life among Indian women with abnormal uterine bleeding.

Sabari Raja, Theranirajan Ethiraj, Shankar Shanmugam Rajendran, Valveeman Vijayalakshmi, Asvini Murugesan, Seethalakshmi Durairaj

Abstract read
In one paragraph

Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sabari RajaDepartment of Obstetrics & Gynaecology, College of Nursing, Madras Medical College, The TN Dr MGR Medical University, Chennai, Tamil Nadu, India.
Theranirajan EthirajDepartment of Pediatrics, Madras Medical College, The TN Dr MGR Medical University, Chennai, Tamil Nadu, India.
Shankar Shanmugam RajendranDepartment of Pediatric Nursing, Madras Medical College, The TN Dr MGR Medical University, Chennai, Tamil Nadu, India.
Valveeman VijayalakshmiDepartment of Obstetrics & Gynaecology, College of Nursing, Madras Medical College, The TN Dr MGR Medical University, Chennai, Tamil Nadu, India.
Asvini MurugesanDepartment of Obstetrics & Gynaecology, College of Nursing, Madras Medical College, The TN Dr MGR Medical University, Chennai, Tamil Nadu, India.
Seethalakshmi DurairajDepartment of Obstetrics & Gynaecology, College of Nursing, Madras Medical College, The TN Dr MGR Medical University, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal Uterine Bleeding (AUB) affects 10-30% of women of reproductive age, often leading to physical and emotional distress. Therefore, it is of interest to evaluate the effectiveness of selected nursing interventions in improving self-care and quality of life among Indian women with AUB at a maternity tertiary care centre in Chennai using a quasi-experimental non-randomized control group design. Nursing interventions, including education on symptom management, lifestyle modifications and personalised support, significantly improved self-care and quality of life in the experimental group. A comparison of pre-test and post-test scores confirmed the effectiveness of these interventions with demographic factors influencing patient outcomes. Thus, the importance of structured nursing interventions in enhancing symptom management and overall well-being in women with abnormal uterine bleeding is reported.

Indexed as

Abnormal uterine bleedingnursing interventionquality of lifeself-carewomen's health

Identifiers

PMID40255313
PMCPMC12008786

What OpenQuestion holds

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LicenceCC BY
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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.