Evidence map›Paper›PMID 36912100›Full record

ArticleClinical nursing research2023

Kidney Donor Perspectives on Acute Postoperative Pain Management.

Nathan J Dreesmann, Wonkyung Jung, Makiah Shebaili, Hilaire J Thompson

Open access · greenAbstract read
In one paragraph

Article in Clinical nursing research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
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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 at 2 institutions in 1 country.

Nathan J DreesmannClinical Operations, Virtual Therapeutics Inc., Kirkland, WA, USA.ORCID 0000-0001-5917-1048
Wonkyung JungJohns Hopkins University, Baltimore, MD, USA.
Makiah ShebailiUniversity of Washington, Seattle, WA, USA.
Hilaire J ThompsonUniversity of Washington, Seattle, WA, USA.
University of Washington · USJohns Hopkins University · US

Funding

NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
Aging and Informatics Training ProgramT32NR014833 · NINR · UNIVERSITY OF WASHINGTON · PI THOMPSON, HILAIRE J · 2014 to 2018
$982k
NCATS NIH HHS TL1 TR002318NINR NIH HHS T32 NR014833
6 · The paper itself

Abstract

This study employed a qualitative descriptive approach to examine living kidney donor's experience of postoperative pain. Thirteen living kidney donors aged 46.5 (±14.4) years participated in this study. Semi-structured interviews were conducted and transcribed. Transcripts were inductively coded and reviewed for trends, patterns, and insights into donor's experience of postoperative pain. Donors experienced postoperative pain from a variety of sources that hindered recovery and created anxiety and fear in some. Donors managed pain with opioid and non-opioid medications, social support, and ambulation. Donor's past experiences with and expectations about pain, relationships with intended recipients, social support, as well as motivations for and meaning of donation informed their experience of postoperative pain. Prompt pharmacologic intervention for pain, as well as further coaching and education about pain management should be emphasized for nurses caring for living kidney donors. Further study of how donor's motivation might mediate their pain experience is needed.

Indexed as

Kidney TransplantationAnxietyHumansLiving DonorsPostoperative PainQualitative Researchacute care settingacute pain managementliving kidney donorsqualitative methods

Identifiers

PMID36912100
PMCPMC10715230
OpenAlexW4324017696

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.