Evidence map›Paper›PMID 40511179›Full record

ArticleJournal of pharmacy & bioallied sciences2025

A New Approach to Haemodialysis: Nurse-Led Dual Intervention Eases AV-Fistula Puncture Pain and Discomfort.

Divya Bharathi Jayaraman, Theranirajan Ethiraj, Shankar Shanmugam Rajendran, Duraikannu Anandhi, Venba Elangovan, Deepika Ramalingam, Shabana Ahamed

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Divya Bharathi JayaramanDepartment of Medical Surgical Nursing, College of Nursing, Madras Medical College, The TN MGR Medical University, Tamil Nadu, India.
Theranirajan EthirajDean, College of Nursing, Madras Medical College, The TN MGR Medical University, Tamil Nadu, India.
Shankar Shanmugam RajendranPrincipal, College of Nursing, Madras Medical College, The TN MGR Medical University, Tamil Nadu, India.
Duraikannu AnandhiDepartment of Medical Surgical Nursing, College of Nursing, Madras Medical College, The TN MGR Medical University, Tamil Nadu, India.
Venba ElangovanDepartment of Medical Surgical Nursing, College of Nursing, Madras Medical College, The TN MGR Medical University, Tamil Nadu, India.
Deepika RamalingamDepartment of Medical Surgical Nursing, College of Nursing, Madras Medical College, The TN MGR Medical University, Tamil Nadu, India.
Shabana AhamedDepartment of Medical Surgical Nursing, College of Nursing, Madras Medical College, The TN MGR Medical University, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) affects approximately 10% of the global population and often progresses to end-stage renal disease, necessitating hemodialysis. Arteriovenous (AV) fistula puncture is a routine yet painful procedure, highlighting the need for effective pain management strategies. Objective: This study aimed to evaluate the effectiveness of a Nurse-Led Dual Intervention, combining cryotherapy and virtual reality, in reducing pain and discomfort during AV fistula puncture among hemodialysis patients. Methods: A randomized controlled trial was conducted with 60 hemodialysis patients assigned to either an experimental or control group. Pain and discomfort were assessed using McGill's Pain Rating Scale and Borg's Perceived Discomfort Rating Scale. The intervention involved the simultaneous application of cryotherapy and virtual reality distraction during AV fistula puncture, while the control group received standard care. Results: Post-intervention analysis demonstrated a 43.62% reduction in symptom scores in the experimental group compared to a 2.80% reduction in the control group. Significant decreases in pain intensity and discomfort scores were observed in the experimental group. Additionally, statistical analysis revealed meaningful associations between socio-demographic variables and pain management outcomes. Conclusion: The findings suggest that integrating non-pharmacological interventions, such as cryotherapy and virtual reality, can significantly improve patient comfort and quality of life during hemodialysis. Future research should explore the broader clinical applications of this dual intervention for pain management in various healthcare settings.

Indexed as

AV fistula puncturediscomforthaemodialysis patientsnurse-led dual interventionpain

Identifiers

PMID40511179
PMCPMC12156750

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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.