Evidence map›Paper›PMID 42668849›Full record

ArticleNursing research and practice2026

Nurse Implementation of Music for Pain Relief in the Inpatient Setting.

Heather Watson, Alexandra Johnson, Yea-Jen Hsu, Zehui Zhou, Elizabeth Scala, Kerry Devlin, Lauren E Russell, Kyurim Kang, Vinciya Pandian, Alexander Pantelyat and 2 more

Abstract read
In one paragraph

Article in Nursing research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Heather WatsonDepartment of Nursing, Center for Nursing Inquiry, Johns Hopkins Hospital, 600 N. Wolfe Street, Baltimore 21287, Maryland, USA, jhu.edu.ORCID https://orcid.org/0000-0001-9046-4949
Alexandra JohnsonDepartment of Nursing, Center for Nursing Inquiry, Johns Hopkins Hospital, 600 N. Wolfe Street, Baltimore 21287, Maryland, USA, jhu.edu.ORCID https://orcid.org/0000-0001-7392-9169
Yea-Jen HsuJohns Hopkins Armstrong Institute for Patient Safety and Quality, 750 E Pratt Street, Baltimore 21202, Maryland, USA.
Zehui ZhouBrown University, 1 Prospect Street, Providence 02912, Rhode Island, USA, brown.edu.
Elizabeth ScalaDepartment of Nursing, Center for Nursing Inquiry, Johns Hopkins Hospital, 600 N. Wolfe Street, Baltimore 21287, Maryland, USA, jhu.edu.
Kerry DevlinCenter for Music and Medicine, Johns Hopkins University School of Medicine, Carnegie Building, 601 N Wolfe St #518-D, Baltimore 21287, Maryland, USA, jhu.edu.ORCID https://orcid.org/0009-0002-8434-6836
Lauren E RussellOffice of Health Equity, Veterans Health Administration, U.S. Department of Veterans Affairs, 810 Vermont Avenue Northwest, Washington 20420, District of Columbia, USA.ORCID https://orcid.org/0000-0001-8703-9271
Kyurim KangCenter for Music and Medicine, Johns Hopkins University School of Medicine, Carnegie Building, 601 N Wolfe St #518-D, Baltimore 21287, Maryland, USA, jhu.edu.ORCID https://orcid.org/0000-0001-8061-4456
Vinciya PandianThe Pennsylvania State University, Penn State Ross and Carole Nese College of Nursing, 201 Nursing Sciences Building, University Park 16802, Pennsylvania, USA, psu.edu.ORCID https://orcid.org/0000-0002-2260-1080
Alexander PantelyatCenter for Music and Medicine, Johns Hopkins University School of Medicine, Carnegie Building, 601 N Wolfe St #518-D, Baltimore 21287, Maryland, USA, jhu.edu.ORCID https://orcid.org/0000-0002-6427-7485
Jane Sumergrade WebsterJohns Hopkins Hospital, Baltimore, Maryland, USA, jhu.edu.ORCID https://orcid.org/0009-0007-2116-7175
Jill A MarstellerJohns Hopkins Armstrong Institute for Patient Safety and Quality, 750 E Pratt Street, Baltimore 21202, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The music for pain relief study tested an innovative broad hypothesis that nurses can effectively integrate the use of music as an option for pain and anxiety management among their patients. The literature supports music for pain relief as an established best practice, and implementing music listening at the bedside supports patient-centered care and autonomous nursing practice. Methods: Guided by the Practical, Robust Implementation, and Sustainability Model (PRISM), a multidisciplinary research team comprised of nurse researchers, a patient/family co-investigator, and implementation scientists engaged nurses to implement the protocol on four inpatient units-three adult and one pediatric-from July 2021 to December 2021. Implementation strategies included nurse champions, in-person training, a unit research binder, and Spotify music streaming accounts with pre-established playlists. Reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) using data from the electronic health record (EHR), a bedside form, and a pre-post survey of nurse motivation to implement was assessed. Results: EHR data showed improvement in the monthly average documented music provision from 9 sessions preintervention to 16 postintervention and 22 in the sustainment phase. Bedside forms ( Conclusions: Nurses successfully integrated the evidence-based practice of offering recorded music to their patients during routine care, potentially facilitating pain and anxiety relief. The nurse's attitudes toward offering music showed they felt it was worthwhile. Implementation during the COVID-19 pandemic may have increased data collection fatigue, which limited postimplementation data collection.

Indexed as

adjunct therapyimplementation sciencemusic listeningnurse practicepainpatient advocacy

Identifiers

PMID42668849
PMCPMC13525375

What OpenQuestion holds

Textmetadata
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.