Evidence map›Paper›PMID 39514493›Full record

ArticleMedical care2024

Assessing Whole-Person Outcomes During Routine Clinical Care: A Rapid Scoping Review.

Nicholas J Parr, Sarah Young, Becky Baltich Nelson

Abstract readScoping Review
In one paragraph

Article in Medical care, 2024. 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. 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

3 authors.

Nicholas J ParrVA Evidence Synthesis Program Coordinating Center, VA Portland Health Care System, Portland, OR.
Sarah Young
Becky Baltich Nelson

Funding

HSRD VA ESP 09-199
6 · The paper itself

Abstract

objectiveTo identify and describe research conducted on the implementation, validity, and utility of whole-person outcome measures administered during routine inpatient or outpatient care.

backgroundIncorporating information about patients' overall health, health-related quality of life, and global well-being into health care delivery has the potential to increase referral rates, enhance doctor-patient communication, and improve the detection of untreated symptoms. Assessment of these whole-person outcomes during routine clinical care is of broad interest to health care providers and health systems.

methodsWe employed a scoping review design and searched Ovid MEDLINE, APA PsycINFO, and CINAHL for relevant English-language primary studies and systematic reviews published through November 13, 2023. Screening for inclusion and data abstraction were conducted by 1 investigator then checked by another. Study risks of bias and the strength of available evidence were not assessed.

resultsOf 1327 potentially relevant publications, 44 primary studies and 5 systematic reviews met eligibility criteria. Assessment of global well-being was comparatively less researched than overall health or health-related quality of life. Available research provided a range of perspectives on the performance, feasibility, acceptability, implementation, and clinical utility of whole-person outcome measures. No studies reported change in patient health or disease outcomes attributed to whole person outcome assessment (directly or through changes to care delivery).

conclusionsCurrently available evidence provides insights about the performance and implementation of whole-person outcome measures during routine clinical care, but no studies are available that examine the impact of assessing whole-person outcomes on clinical or patient outcomes.

Indexed as

Quality of LifeHealth StatusHumansOutcome Assessment, Health Care

Identifiers

PMID39514493
PMCPMC11548827

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.