Evidence map›Paper›PMID 35687405›Full record

ArticleJMIR formative research2022

A Web-Based, Provider-Driven Mobile App to Enhance Patient Care Coordination Between Dialysis Facilities and Hospitals: Development and Pilot Implementation Study.

Laura C Plantinga, Courtney Hoge, Ann E Vandenberg, Kyle James, Tahsin Masud, Anjali Khakharia, Carol Gray, Bernard G Jaar, Janice P Lea, Christopher M O'Donnell and 1 more

Abstract read
In one paragraph

Article in JMIR formative research, 2022. 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

11 authors.

Laura C PlantingaDepartment of Medicine, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-0809-8981
Courtney HogeDepartment of Medicine, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0001-5500-3709
Ann E VandenbergDepartment of Medicine, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0002-6319-4872
Kyle JamesDepartment of Medicine, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0001-9235-1489
Tahsin MasudDepartment of Medicine, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-4425-024X
Anjali KhakhariaDepartment of Medicine, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0001-7401-0058
Carol GrayEmory University Hospital Midtown, Emory Healthcare, Atlanta, GA, United States.ORCID https://orcid.org/0000-0001-8109-2637
Bernard G JaarDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-1210-7115
Janice P LeaDepartment of Medicine, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0002-8045-076X
Christopher M O'DonnellDepartment of Medicine, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0002-7497-1278
Richard MutellApex Health Innovations, Williamsburg, VA, United States.ORCID https://orcid.org/0000-0001-6683-8410

Funding

A pragmatic evaluation of a secure web-based platform for hospital-dialysis provider communication to improve hospitalization outcomes among dialysis patientsR18DK118467 · NIDDK · EMORY UNIVERSITY · PI PLANTINGA, LAURA · 2018 to 2020
$1.0M
NIDDK NIH HHS R18 DK118467
6 · The paper itself

Abstract

backgroundWe piloted a web-based, provider-driven mobile app (DialysisConnect) to fill the communication and care coordination gap between hospitals and dialysis facilities.

objectiveThis study aimed to describe the development and pilot implementation of DialysisConnect.

methodsDialysisConnect was developed iteratively with focus group and user testing feedback and was made available to 120 potential users at 1 hospital (hospitalists, advanced practice providers [APPs], and care coordinators) and 4 affiliated dialysis facilities (nephrologists, APPs, nurses and nurse managers, social workers, and administrative personnel) before the start of the pilot (November 1, 2020, to May 31, 2021). Midpilot and end-of-pilot web-based surveys of potential users were also conducted. Descriptive statistics were used to describe system use patterns, ratings of multiple satisfaction items (1=not at all; 3=to a great extent), and provider-selected motivators of and barriers to using DialysisConnect.

resultsThe pilot version of DialysisConnect included clinical information that was automatically uploaded from dialysis facilities, forms for entering critical admission and discharge information, and a direct communication channel. Although physicians comprised most of the potential users of DialysisConnect, APPs and dialysis nurses were the most active users. Activities were unevenly distributed; for example, 1 hospital-based APP recorded most of the admissions (280/309, 90.6%) among patients treated at the pilot dialysis facilities. End-of-pilot ratings of DialysisConnect were generally higher for users versus nonusers (eg, "I can see the potential value of DialysisConnect for my work with dialysis patients": mean 2.8, SD 0.4, vs mean 2.3, SD 0.6; P=.02). Providers most commonly selected reduced time and energy spent gathering information as a motivator (11/26, 42%) and a lack of time to use the system as a barrier (8/26, 31%) at the end of the pilot.

conclusionsThis pilot study found that APPs and nurses were most likely to engage with the system. Survey participants generally viewed the system favorably while identifying substantial barriers to its use. These results inform how best to motivate providers to use this system and similar systems and inform future pragmatic research in care coordination among this and other populations.

Indexed as

advanced practice providerscare coordinationdialysishospitalsmobile appnursesphysicians

Identifiers

PMID35687405
PMCPMC9233252

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Registered trials

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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.