Evidence map›Paper›PMID 34896403›Full record

ArticleArchives of physical medicine and rehabilitation2022

A View of the Development of Patient-Reported Outcomes Measures, Their Clinical Integration, Electronification, and Potential Impact on Rehabilitation Service Delivery.

Andrea L Cheville, Jeffrey R Basford

Abstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Andrea L ChevilleDepartment of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota.
Jeffrey R BasfordDepartment of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota. Electronic address: basford.jeffrey@mayo.edu.

Funding

Enhanced, EHR-facilitated Cancer Symptom Control (E2C2) Pragmatic Clinical TrialUM1CA233033 · NCI · MAYO CLINIC ROCHESTER · PI CHEVILLE, ANDREA LYNNE · 2018 to 2018
$8.7M
Computerized Adaptive Testing to Direct Delivery of Hospital-Based RehabilitationR01HD079439 · NICHD · MAYO CLINIC ROCHESTER · PI CHEVILLE, ANDREA LYNNE · 2015 to 2019
$3.7M
NCI NIH HHS UM1 CA233033NICHD NIH HHS R01 HD079439
6 · The paper itself

Abstract

Recognition of the importance of a patient's perception of their status and experience has become central to medical care and its evaluation. This recognition has led to a growing reliance on the use of patient-reported outcome measures (PROMs). Nevertheless, although awareness of PROMs and acceptance of their utility has increased markedly, few of us have a good insight into their development; their utility relative to clinician-rated and performance measures such as the FIM and 6-minute walk test or how their "electronification" and incorporation into electronic health records (EHRs) may improve the individualization, value, and quality of medical care. In all, the goal of this commentary is to provide some insight into historical factors and technology developments that we believe have shaped modern clinical PROMs as they relate to medicine in general and to rehabilitation in particular. In addition, we speculate that while the growth of PROM use may have been triggered by an increased emphasis on the centrality of the patient in their care, future uptake will be shaped by their embedding in EHRs and used to improve clinical decision support though their integration with other sources of clinical and sociodemographic data.

Indexed as

Electronic Health RecordsPatient Reported Outcome MeasuresHumansRehabilitation

Identifiers

PMID34896403
PMCPMC12148003

What OpenQuestion holds

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Registered trials

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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.