Evidence map›Paper›PMID 33634190›Full record

ArticlemHealth2021

The usefulness of the Electronic Patient Visit Assessment (ePVA)

Janet H Van Cleave, Mei R Fu, Antonia V Bennett, Catherine Concert, Ann Riccobene, Anh Tran, Allison Most, Maria Kamberi, Jacqueline Mojica, Justin Savitski and 9 more

Open access · diamondAbstract read
In one paragraph

Article in mHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

19 authors at 7 institutions in 1 country.

Janet H Van CleaveNew York University Meyers College of Nursing, New York, NY, USA.
Mei R FuBoston College Connell School of Nursing, Boston, MA, USA.
Antonia V BennettGillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Catherine ConcertDepartment of Radiation Oncology, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Ann RiccobeneDepartment of Medicine, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Anh TranDepartment of Radiation Oncology, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Allison MostDepartment of Otolaryngology-Head and Neck Surgery, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Maria KamberiDepartment of Otolaryngology-Head and Neck Surgery, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Jacqueline MojicaDepartment of Otolaryngology-Head and Neck Surgery, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Justin SavitskiDepartment of Otolaryngology-Head and Neck Surgery, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Elise KuscheDepartment of Medicine, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Mark S PerskyDepartment of Otolaryngology-Head and Neck Surgery, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Zujun LiDepartment of Medicine, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Adam S JacobsonDepartment of Otolaryngology-Head and Neck Surgery, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Kenneth S HuDepartment of Radiation Oncology, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Michael J PerskyDepartment of Otolaryngology-Head and Neck Surgery, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Eva LiangNew York University Meyers College of Nursing, New York, NY, USA.
Patricia M CorbyDepartment of Oral Medicine, University of Pennsylvania School of Dental Medicine, Philadelphia, PA, USA.
Brian L EglestonFox Chase Cancer Center, Philadelphia, PA, USA.
NYU Langone Health · USBoston College · USFox Chase Cancer Center · USNew York College of Health Professions · USNew York University · USUniversity of North Carolina at Chapel Hill · USUniversity of Pennsylvania · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Dietmar J Kappes · 1985 to 2026
$138.8M
Refinement and Expansion of the Palliative Care Research Cooperative Group (PCRC)U24NR014637 · NINR · DUKE UNIVERSITY · PI KUTNER, JEAN S, POLLAK, KATHRYN I · 2013 to 2017
$9.6M
Palliative Care Research Cooperative Group (PCRC): Refinement and ExpansionU2CNR014637 · NINR · UNIVERSITY OF COLORADO DENVER · PI COLBORN, KATHRYN LOUISE · 2018 to 2022
$8.6M
NCI NIH HHS P30 CA006927NINR NIH HHS U24 NR014637NINR NIH HHS U2C NR014637
6 · The paper itself

Abstract

backgroundPatients with head and neck cancer (HNC) experience painful, debilitating symptoms and functional limitations that can interrupt cancer treatment, and decrease their health-related quality of life (HRQoL). The Electronic Patient Visit Assessment (ePVA) for head and neck is a web-based mHealth patient-reported measure that asks questions about 21 categories of symptoms and functional limitations common to HNC. This article presents the development and usefulness of the ePVA as a clinical support tool for real-time interventions for patient-reported symptoms and functional limitations in HNC.

methodsBetween January 2018 and August 2019, 75 participants were enrolled in a clinical usefulness study of the ePVA. Upon signing informed consent, participants completed the ePVA and the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire (QLQ) general (C30) questionnaire v3.0 (scores range from 0 to 100 with 100 representing best HRQoL). Clinical usefulness of the ePVA was defined as demonstration of reliability, convergent validity with HRQoL, and acceptability of the ePVA (i.e., >70% of eligible participants complete the ePVA at two or more visits and >70% of ePVA reports are read by providers). Formal focus group discussions with the interdisciplinary team that cared for patients with HNC guided the development of the ePVA as a clinical support tool. Qualitative and quantitative methods were used throughout the study. Descriptive statistics consisting of means and frequencies, Pearson correlation coefficient, and Student's t-tests were calculated using SAS 9.4 and STATA.

resultsThe participants were primarily male (71%), White (76%), diagnosed with oropharyngeal or oral cavity cancers (53%), and undergoing treatment for HNC (69%). Data analyses supported the reliability (alpha =0.85), convergent validity with HRQoL scores, and acceptability of the ePVA. Participants with the highest number of symptoms and functional limitations reported significantly worse HRQoL (sum of symptoms: r=-0.50, P<0.0001; sum of function limitations: r=-0.56, P<0.0001). Ninety-two percent of participants (59 of 64) who had follow-up visits within the 6-month study period completed the ePVA at two or more visits and providers read 89% (169 of 189) of automated ePVA reports. The use of the ePVA as a clinical support tool for real-time interventions for symptoms and functional limitations reported by patients is described in a clinical exemplar.

conclusionsThis research indicates that the ePVA may be a useful mHealth tool as a clinical support tool for real-time interventions for patient-reported symptoms and functional limitations in HNC. The study findings support future translational research to enhance the usefulness of the ePVA in real world settings for early interventions that decrease symptom burden and improve the QoL of patients with HNC.

Indexed as

clinical usefulnessfunctionhead and neck cancer (HNC)mHealthSymptom

Identifiers

PMID33634190
PMCPMC7882269
OpenAlexW3045659682

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.