Evidence map›Paper›PMID 34104376›Full record

ArticleTherapeutic advances in chronic disease2021

A narrative review of current evidence supporting the implementation of electronic patient-reported outcome measures in the management of chronic diseases.

Olalekan Lee Aiyegbusi, Devika Nair, John Devin Peipert, Kara Schick-Makaroff, Istvan Mucsi

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in chronic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 7 pooled it
3.9field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 7 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Factors associated with response to patient-reported outcome measures: a systematic review of systematic and scoping reviews, and meta-analyses.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  10. Smartphone-based patient-reported outcome of acute phase reaction after zoledronic acid infusion and prediction algorithm: a multicenter, prospective cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  11. Ovarian cancer.Nature reviews. Disease primers · 2026
    Review
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  20. The Role of Patient-Reported Outcomes in Cirrhosis.The American journal of gastroenterology · 2025
    Review
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

5 authors at 5 institutions in 3 countries.

Olalekan Lee AiyegbusiCentre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK National Institute for Health Research (NIHR) Applied Research Centre, West Midlands, UK.ORCID https://orcid.org/0000-0001-9122-8251
Devika NairDivision of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA Vanderbilt O'Brien Center for Kidney Disease, Nashville, TN, USA.
John Devin PeipertDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Kara Schick-MakaroffFaculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.
Istvan MucsiMultiorgan Transplant Program, University Health Network and Division of Nephrology, Department of Medicine, University of Toronto, ON, Canada.
National Institute for Health Research · GBNorthwestern University · USUniversity Health Network · CAUniversity of Alberta · CAVanderbilt University Medical Center · US

Funding

Learning Health System Scholar Program at VanderbiltK12HS026395 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROTHMAN, RUSSELL L., ROUMIE, CHRISTIANNE L. · 2018 to 2022
$2.7M
AHRQ HHS K12 HS026395
6 · The paper itself

Abstract

An application of telemedicine of growing interest and relevance is the use of personal computers and mobile devices to collect patient-reported outcomes (PROs). PROs are self-reports of patients' health status without interpretation by anyone else. The tools developed to assess PROs are known as patient-reported outcomes measures (PROMs). The technological innovations that have led to an increased ownership of electronic devices have also facilitated the development of electronic PROMs (ePROMs). ePROMs are a conduit for telemedicine in the care of patients with chronic diseases. Various studies have demonstrated that the use of ePROMs in routine clinical practice is both acceptable and feasible with patients increasingly expressing a preference for an electronic mode of administration. There is increasing evidence that the use of electronic patient-reported outcome (ePROMs) could have significant impacts on outcomes valued by patients, healthcare providers and researchers. Whilst the development and implementation of these systems may be initially costly and resource-intensive, patient preferences and existing evidence to support their implementation suggests the need for continued research prioritisation in this area. This narrative review summarises and discusses evidence of the impact of ePROMs on clinical parameters and outcomes relevant to chronic diseases. We also explore recently published literature regarding issues that may influence the robust implementation of ePROMs for routine clinical practice.

Indexed as

Chronic diseasesDigital healthElectronic patient-reported outcomesePROM systemsePROsOutcome assessmentPatient-reported outcomesPROsQuality of lifeSymptom monitoring

Identifiers

PMID34104376
PMCPMC8150668
OpenAlexW3163973934

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.