Evidence map›Paper›PMID 33548207›Full record

ArticleArchives of physical medicine and rehabilitation2022

Making the Case for Patient-Reported Outcome Measures in Big-Data Rehabilitation Research: Implications for Optimizing Patient-Centered Care.

Tamra Keeney, Amit Kumar, Kimberly S Erler, Amol M Karmarkar

Abstract read
PubMed Full text at PMC Publisher
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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Tamra KeeneyCenter for Gerontology and Health Care Research, Brown University School of Public Health, Providence, RI; Division of Palliative Care and Geriatric Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA. Electronic address: TKeeney1@mgh.harvard.edu.
Amit KumarDepartment of Physical Therapy, Northern Arizona University, Flagstaff, AZ.
Kimberly S ErlerDepartment of Occupation Therapy, MGH Institute of Health Professions, Boston, MA.
Amol M KarmarkarDepartment of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA; Sheltering Arms Institute, Richmond, VA.

Funding

National Research Service AwardT32HS000011 · AHRQ · BROWN UNIVERSITY · PI TRIVEDI, AMAL N. · 1986 to 2024
$6.1M
AHRQ HHS T32 HS000011
6 · The paper itself

Abstract

Advances in data science and timely access to health informatics provide a pathway to integrate patient-reported outcome measures (PROMs) into clinical workflows and optimize rehabilitation service delivery. With the shift toward value-based care in the United States health care system, as highlighted by the recent Centers for Medicare and Medicaid Services incentive and penalty programs, it is critical for rehabilitation providers to systematically collect and effectively use PROMs to facilitate evaluation of quality and outcomes within and across health systems. This editorial discusses the potential of PROMs to transform clinical practice, provides examples of health systems using PROMs to guide care, and identifies barriers to aggregating data from PROMs to conduct health services research. The article proposes 2 priority areas to help advance rehabilitation health services research: (1) standardization of collecting PROMs data in electronic health records to facilitate comparing health system performance and quality and (2) increased partnerships between rehabilitation providers, researchers, and payors to accelerate health system learning. As health care reform continues to emphasize value-based payment strategies, it is essential for the field of physical medicine and rehabilitation to be at the forefront of demonstrating its value in the care continuum.

Indexed as

MedicareRehabilitation ResearchAgedDelivery of Health CareHumansPatient-Centered CarePatient Reported Outcome MeasuresUnited StatesDelivery of health careHealth services researchPatient-reported outcome measuresRehabilitation

Identifiers

PMID33548207
PMCPMC10227674

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.