Evidence map›Paper›PMID 38156243›Full record

ArticleContemporary clinical trials communications2023

A study protocol for e-PainSupport: The use of a digital application for reporting pain and pain management in home hospice.

Masako Mayahara, JoEllen Wilbur, Arlene Michaels Miller, Louis Fogg

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2023. 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. TheWestern journal of nursing research · 2025
    Trial
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.

Masako MayaharaRush University, College of Nursing, Chicago, IL, United States of America.
JoEllen WilburRush University, College of Nursing, Chicago, IL, United States of America.
Arlene Michaels MillerRush University, College of Nursing, Chicago, IL, United States of America.
Louis FoggUniversity of Illinois at Chicago, Department of Occupational Therapy, Chicago, IL, United States of America.

Funding

The Use of a Digital Application for Reporting Pain and Pain Management in Home HospiceR21NR018952 · NINR · RUSH UNIVERSITY MEDICAL CENTER · PI MAYAHARA, MASAKO · 2020 to 2021
$432k
NINR NIH HHS R21 NR018952
6 · The paper itself

Abstract

High pain intensity is commonly experienced by patients with serious advanced illness. Impediments to improving pain intensity in home hospice include poor adherence to a pain management regimen due to caregivers' lack of knowledge and self-efficacy (confidence) in administering analgesics. e-PainSupport is a self-administered, digital application directly linked to patients' medical records. It has three elements: Education Module, Patient Pain Record, and the Pain Summary for Nurses. This study will test the effects of e-PainSupport on pain intensity when used by patients, caregivers, and nurses. The study's specific aims are as follows: Aim 1, compare the effects of e-PainSupport to a standard care condition, controlling for covariates (role [patient or caregiver], age, sex, ethnicity, education, and patient's diagnosis), on clinical improvement in pain intensity (primary outcome) and significant improvement on a pain intensity scale (secondary outcome); Aim 2, examine the mediating effects of patient and caregiver knowledge, self-efficacy, and adherence on change in pain intensity during 2 weeks, controlling for covariates and treatment condition; and Aim 3, identify nurses' perceptions of the use of e-PainSupport, including facilitators for and barriers to integration into agency workflow and benefits for patients. Participants (132 triads of patients, caregivers, and hospice nurses) will be recruited from Midwest hospice agencies. Patient and caregiver outcomes will be assessed at baseline and 2 weeks later. Data will be analyzed with multilevel modeling. Post-intervention, semi-structured interviews with nurses in the e-PainSupport condition will be analyzed using qualitative content analysis to identify perceived practice changes. e-PainSupport has the potential to facilitate nurse-patient communication and improve hospice patient pain management.

Identifiers

PMID38156243
PMCPMC10753172

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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.