Evidence map›Paper›PMID 27348507›Full record

ArticleJournal of palliative medicine2016

Development of the Quality Data Collection Tool for Prospective Quality Assessment and Reporting in Palliative Care.

Arif H Kamal, Janet Bull, Dio Kavalieratos, Jonathan M Nicolla, Laura Roe, Martha Adams, Amy P Abernethy

Open access · greenAbstract read
In one paragraph

Article in Journal of palliative medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-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

9 citing papers in PubMed, 30 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

7 authors at 3 institutions in 1 country.

Arif H Kamal1 Duke University , Durham, North Carolina.
Janet Bull2 Four Seasons , Flat Rock, North Carolina.
Dio Kavalieratos3 Division of General Internal Medicine, Department of Medicine, University of Pittsburgh , Pittsburgh, Pennsylvania.
Jonathan M Nicolla1 Duke University , Durham, North Carolina.
Laura Roe1 Duke University , Durham, North Carolina.
Martha Adams1 Duke University , Durham, North Carolina.
Amy P Abernethy1 Duke University , Durham, North Carolina.
Duke University · USFour Seasons · USUniversity of Pittsburgh · US

Funding

Refinement and Expansion of the Palliative Care Research Cooperative Group (PCRC)U24NR014637 · NINR · DUKE UNIVERSITY · PI KUTNER, JEAN S, POLLAK, KATHRYN I · 2013 to 2017
$9.6M
Palliative Care Research Cooperative Group (PCRC): Refinement and ExpansionU2CNR014637 · NINR · UNIVERSITY OF COLORADO DENVER · PI RITCHIE, CHRISTINE S · 2018 to 2022
$8.6M
INTEGRATING PALLIATIVE CARE WITH DISEASE MANAGEMENT TO IMPROVE OUTCOMES AMONG PATIENTS WITH ADVANCED HEART FAILURE: INTERVENTIONAL RESEARCH CAREER DEVELOPMENTK01HL133466 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAVALIERATOS, DIONYSIOS · 2016 to 2019
$527k
NHLBI NIH HHS K01 HL133466NINR NIH HHS U24 NR014637NINR NIH HHS U2C NR014637
6 · The paper itself

Abstract

backgroundAssessing and reporting the quality of care provided are increasingly important in palliative care, but we currently lack practical, efficient approaches for collection and reporting.

objectiveIn response, the Global Palliative Care Quality Alliance ("Alliance") sought to create a Quality Data Collection Tool for Palliative Care (QDACT-PC).

methodsWe collaboratively and iteratively developed QDACT-PC, an electronic, point-of-care quality monitoring system for palliative care that supports prospective quality assessment and reporting in any clinical setting. QDACT-PC is the web-based data collection and reporting interface. Quality measures selected to be used in QDACT-PC were derived from a systematic review summarizing all published palliative care quality measure sets; Alliance clinical providers prioritized measures to be included in QDACT-PC to ensure maximal clinical relevance. Data elements and variables required to ascertain conformance to all selected quality measures were included in the QDACT-PC data dictionary. Whenever possible, variables collected in QDACT-PC align with validated surveys and/or nationally recognized common data elements. QDACT-PC data elements and software programmed business rules inform real-time assessments of conformance to selected quality measures. Data are deposited into a centralized registry for future analyses.

resultsQDACT-PC can be used to report on >80% of all published palliative care quality measures and 100% of high-priority measure.

conclusionElectronic methods for collecting point-of-care quality monitoring data can be developed using collaborative partnerships between community and academic palliative care providers. Feasibility testing and creation of feedback reports are ongoing.

Indexed as

Palliative CareHumansProspective StudiesQuality of Health CareRegistriesSurveys and Questionnaires

Identifiers

PMID27348507
PMCPMC6453500
OpenAlexW2464647073

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.