Evidence map›Paper›PMID 29121480›Full record

ArticleAnnals of the American Thoracic Society2018

Palliative Care Planner: A Pilot Study to Evaluate Acceptability and Usability of an Electronic Health Records System-integrated, Needs-targeted App Platform.

Christopher E Cox, Derek M Jones, Wen Reagan, Mary D Key, Vinca Chow, Jessica McFarlin, David Casarett, Claire J Creutzfeldt, Sharron L Docherty

Registry-linked trialAbstract read
In one paragraph

Article in Annals of the American Thoracic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04414787 (Operationalizing PCplanner, a Needs-focused Palliative Care for Older Adults in Intensive Care Units), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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.

NCT04414787 nacompletednot on this mapstarted 2021, after this paper: background citation

Operationalizing PCplanner, a Needs-focused Palliative Care for Older Adults in Intensive Care Units: a Randomized Clinical Trial

TypeinterventionalSponsorDuke UniversityRan2021 to 2023Enrolled151ConditionsPalliative Care, Critical Illness, Aging, Care Delivery ModelArmsPCplanner
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Novel displays of patient information in critical care settings: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Christopher E Cox1 Department of Medicine, Division of Pulmonary & Critical Care Medicine, Duke University, Durham, North Carolina.ORCID 0000-0002-4486-0681
Derek M Jones1 Department of Medicine, Division of Pulmonary & Critical Care Medicine, Duke University, Durham, North Carolina.
Wen Reagan1 Department of Medicine, Division of Pulmonary & Critical Care Medicine, Duke University, Durham, North Carolina.
Mary D Key1 Department of Medicine, Division of Pulmonary & Critical Care Medicine, Duke University, Durham, North Carolina.
Vinca Chow3 Department of Anesthesiology, Duke University, Durham, North Carolina.
Jessica McFarlin4 Department of Neurology, University of Kentucky, Lexington, Kentucky.
David Casarett6 Palliative Care Medicine Program, Duke University, Durham, North Carolina.
Claire J Creutzfeldt7 Department of Neurology, University of Washington, Seattle, Washington; and.
Sharron L Docherty8 School of Nursing, Duke University, Durham, North Carolina.

Funding

Improving decision making for patients with prolonged mechanical ventilationR01HL109823 · NHLBI · DUKE UNIVERSITY · PI COX, CHRISTOPHER ETHAN · 2012 to 2016
$3.5M
NHLBI NIH HHS R01 HL109823
6 · The paper itself

Abstract

rationaleThe quality and patient-centeredness of intensive care unit (ICU)-based palliative care delivery is highly variable.

objectiveTo develop and pilot an app platform for clinicians and ICU patients and their family members that enhances the delivery of needs-targeted palliative care.

methodsIn the development phase of the study, we developed an electronic health record (EHR) system-integrated mobile web app system prototype, PCplanner (Palliative Care Planner). PCplanner screens the EHR for ICU patients meeting any of five prompts (triggers) for palliative care consultation, allows families to report their unmet palliative care needs, and alerts clinicians to these needs. The evaluation phase included a prospective before/after study conducted at a large academic medical center. Two control populations were enrolled in the before period to serve as context for the intervention. First, 25 ICU patients who received palliative care consults served as patient-level controls. Second, 49 family members of ICU patients who received mechanical ventilation for at least 48 hours served as family-level controls. Afterward, 14 patients, 18 family members, and 10 clinicians participated in the intervention evaluation period. Family member outcomes measured at baseline and 4 days later included acceptability (Client Satisfaction Questionnaire [CSQ]), usability (Systems Usability Scale [SUS]), and palliative care needs, assessed with the adapted needs of social nature, existential concerns, symptoms, and therapeutic interaction (NEST) scale; the Patient-Centeredness of Care Scale (PCCS); and the Perceived Stress Scale (PSS). Patient outcomes included frequency of goal concordant treatment, hospital length of stay, and discharge disposition.

resultsFamily members reported high PCplanner acceptability (mean CSQ, 14.1 [SD, 1.4]) and usability (mean SUS, 21.1 [SD, 1.7]). PCplanner family member recipients experienced a 12.7-unit reduction in NEST score compared with a 3.4-unit increase among controls (P = 0.002), as well as improved mean scores on the PCCS (6.6 [SD, 5.8]) and the PSS (-0.8 [SD, 1.9]). The frequency of goal-concordant treatment increased over the course of the intervention (n = 14 [SD, 79%] vs. n = 18 [SD, 100%]). Compared with palliative care controls, intervention patients received palliative care consultation sooner (3.9 [SD, 2.7] vs. 6.9 [SD, 7.1] mean days), had a shorter mean hospital length of stay (20.5 [SD, 9.1] vs. 22.3 [SD, 16.0] patient number), and received hospice care more frequently (5 [36%] vs. 5 [20%]), although these differences were not statistically significant.

conclusionsPCplanner represents an acceptable, usable, and clinically promising systems-based approach to delivering EHR-triggered, needs-targeted ICU-based palliative care within a standard clinical workflow. A clinical trial in a larger population is needed to evaluate its efficacy.

Indexed as

Mobile ApplicationsAdultAgedAged, 80 and overCritical IllnessElectronic Health RecordsFemaleHumansIntensive Care UnitsMaleMiddle AgedNorth CarolinaOutcome Assessment, Health CarePalliative CarePatient-Centered CarePatient Satisfactioncritical illnesselectronic health recordpalliative carepatient-centerednesspatient-reported outcomes

Identifiers

PMID29121480
PMCPMC5812235

What OpenQuestion holds

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Registered trials

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.