Evidence map›Paper›PMID 29091531›Full record

ArticleJournal of palliative medicine2018

Measuring Patient-Centeredness of Care for Seriously Ill Individuals: Challenges and Opportunities for Accountability Initiatives.

Rebecca Anhang Price, Marc N Elliott

Open access · hybridAbstract read
In one paragraph

Article in Journal of palliative medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 33 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Rebecca Anhang Price1 RAND Corporation , Arlington, Virginia.
Marc N Elliott2 RAND Corporation , Santa Monica, California.
RAND Corporation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient- and family-centeredness of care is particularly important for individuals with serious illness. In this article, we describe methodological challenges of using measures of patient- and family-centeredness in accountability initiatives such as public reporting and pay for performance. We begin with background on measuring patient- and family-centered care using standardized surveys, describe evidence of the use of these measures for quality improvement, and highlight methodological challenges in the development and implementation of these measures for use in accountability. To ensure that patient- and family-centeredness is the cornerstone of public and private accountability initiatives designed to promote high-quality care to seriously ill patients, we recommend development of (1) a nationally endorsed survey instrument that assesses patient and family experiences of serious illness care across the full range of patient trajectories and care settings in which this care is provided; (2) administrative data infrastructure that allows for identification and outreach to the most knowledgeable respondents for the survey, regardless of the patient's setting of care; and (3) a broad toolkit of quality improvement approaches to ensure that as the emphasis on accountability grows, providers across settings have access to tools that can help them improve patient- and family-centeredness of care for the seriously ill.

Indexed as

Patient-Centered CarePatient SatisfactionQuality ImprovementSocial ResponsibilityChronic DiseaseHumansSurveys and Questionnairesaccountability initiativesfamily-centerednesspatient-centerednessquality improvement approaches

Identifiers

PMID29091531
PMCPMC5756456
OpenAlexW2765591365

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.