Evidence map›Paper›PMID 38845403›Full record

ArticleJMIR aging2024

A Personalized and Interactive Web-Based Advance Care Planning Intervention for Older Adults (Koda Health): Pilot Feasibility Study.

R Lynae Roberts, Katelin D Cherry, Desh P Mohan, Tiffany Statler, Eric Kirkendall, Adam Moses, Jennifer McCraw, Andrew E Brown Iii, Tatiana Y Fofanova, Jennifer Gabbard

Abstract read
In one paragraph

Article in JMIR aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

10 authors.

R Lynae RobertsKoda Health, Houston, TX, United States.ORCID 0000-0002-6575-3156
Katelin D CherryKoda Health, Houston, TX, United States.ORCID 0000-0002-2767-2398
Desh P MohanKoda Health, Houston, TX, United States.ORCID 0009-0007-4730-7455
Tiffany StatlerAtrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC, United States.ORCID 0000-0001-7504-6212
Eric KirkendallWake Forest Center for Healthcare Innovation, Winston-Salem, NC, United States.ORCID 0000-0001-6225-8320
Adam MosesWake Forest Center for Healthcare Innovation, Winston-Salem, NC, United States.ORCID 0000-0003-2782-5080
Jennifer McCrawWake Forest Center for Healthcare Innovation, Winston-Salem, NC, United States.ORCID 0009-0000-9522-4055
Andrew E Brown IiiWake Forest Center for Healthcare Innovation, Winston-Salem, NC, United States.ORCID 0009-0000-7593-2169
Tatiana Y FofanovaKoda Health, Houston, TX, United States.ORCID 0009-0002-8985-2906
Jennifer GabbardSection of Gerontology and Geriatric Medicine, School of Medicine, Wake Forest University, Winston-Salem, NC, United States.ORCID 0000-0001-8666-4833

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Implementation Strategies to Promote Advance Care Planning among Persons Living with ADRD and those with Mild Cognitive Impairment in Outpatient Primary Care PracticesK23AG070234 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jennifer Lynn Gabbard · 2022 to 2026
$879k
NCATS NIH HHS UL1 TR001420NIA NIH HHS K23 AG070234
6 · The paper itself

Abstract

Background: Advance care planning (ACP) is a process that involves patients expressing their personal goals, values, and future medical care preferences. Digital applications may help facilitate this process, though their use in older adults has not been adequately studied. Objective: This pilot study aimed to evaluate the reach, adoption, and usability of Koda Health, a web-based patient-facing ACP platform, among older adults. Methods: Older adults (aged 50 years and older) who had an active Epic MyChart account at an academic health care system in North Carolina were recruited to participate. A total of 2850 electronic invitations were sent through MyChart accounts with an embedded hyperlink to the Koda platform. Participants who agreed to participate were asked to complete pre- and posttest surveys before and after navigating through the Koda Health platform. Primary outcomes were reach, adoption, and System Usability Scale (SUS) scores. Exploratory outcomes included ACP knowledge and readiness. Results: A total of 161 participants enrolled in the study and created an account on the platform (age: mean 63, SD 9.3 years), with 80% (129/161) of these participants going on to complete all steps of the intervention, thereby generating an advance directive. Participants reported minimal difficulty in using the Koda platform, with an overall SUS score of 76.2. Additionally, knowledge of ACP (eg, mean increase from 3.2 to 4.2 on 5-point scale; P<.001) and readiness (eg, mean increase from 2.6 to 3.2 on readiness to discuss ACP with health care provider; P<.001) significantly increased from before to after the intervention. Conclusions: This study demonstrated that the Koda Health platform is feasible, had above-average usability, and improved ACP documentation of preferences in older adults. Our findings indicate that web-based health tools like Koda may help older individuals learn about and feel more comfortable with ACP while potentially facilitating greater engagement in care planning.

Indexed as

Advance Care PlanningFeasibility StudiesAgedFemaleHumansInternetInternet-Based InterventionMaleMiddle AgedNorth CarolinaPilot ProjectsSurveys and QuestionnairesacceptanceACPadoptionadvance care planningageingagingdigital healthdigital health toolselderelderlygeriatricgeriatricsgerontologyolder adultolder adultsolder peopleolder personplatformsystem usabilityusabilitywebsitewebsites

Identifiers

PMID38845403
PMCPMC11089888

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.