Evidence map›Paper›PMID 41719520›Full record

Trial reportJMIR human factors2026

Novel Web-Based Technology to Promote Goal-Setting in Complex Chronic Illness: Randomized Controlled Trial.

Jody Lin, Bernd Huber, Ofra Amir, Shiri Assis-Hassid, Sebastian Gehrmann, Krzysztof Gajos, Barbara Grosz, Lee Sanders

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jody LinDepartment of Pediatrics, School of Medicine, University of Utah, 100 Mario Capecchi Drive, Salt Lake City, UT, 84114, United States, 1 8016623645.ORCID 0000-0002-9964-7984
Bernd HuberDepartment of Computer Science, John A. Paulson School of Engineering and Applied Sciences (Computer Science), Harvard University, Cambridge, MA, United States.ORCID 0000-0002-9176-2208
Ofra AmirDepartment of Data and Decision Sciences, Technion - Israel Institute of Technology, Haifa, Israel.ORCID 0000-0003-2303-3684
Shiri Assis-HassidDepartment of Computer Science, John A. Paulson School of Engineering and Applied Sciences (Computer Science), Harvard University, Cambridge, MA, United States.ORCID 0000-0003-1454-0510
Sebastian GehrmannDepartment of Computer Science, John A. Paulson School of Engineering and Applied Sciences (Computer Science), Harvard University, Cambridge, MA, United States.ORCID 0000-0002-8257-9516
Krzysztof GajosDepartment of Computer Science, John A. Paulson School of Engineering and Applied Sciences (Computer Science), Harvard University, Cambridge, MA, United States.ORCID 0000-0002-1897-9048
Barbara GroszDepartment of Computer Science, John A. Paulson School of Engineering and Applied Sciences (Computer Science), Harvard University, Cambridge, MA, United States.ORCID 0000-0003-3031-5591
Lee SandersDepartment of Pediatrics, School of Medicine, Stanford University, Palo Alto, CA, United States.ORCID 0000-0003-3231-6918

Funding

SCH:INT Collaborative Research: Intelligent Information Sharing: Advancing Teamwork in Complex CareR01CA204585 · NCI · STANFORD UNIVERSITY · PI SANDERS, LEE MICHAEL · 2016 to 2019
$1.6M
Developing an Innovative Decision Support Tool for Pediatric Neuromuscular ScoliosisK23AR079778 · NIAMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jody Lin · 2022 to 2026
$942k
NCI NIH HHS R01 CA204585NIAMS NIH HHS K23 AR079778
6 · The paper itself

Abstract

Background: Shared goal-setting is a common feature of quality guidelines to improve care quality for children with medical complexity, but few studies have examined the efficacy of interventions designed to improve goal-setting. Objective: This study aims to evaluate a novel internet-based tool to promote shared goal-setting (GoalKeeper) in the care of children with medical complexity. Methods: We conducted a randomized stepped-wedge trial (intervention vs usual care) between April 1, 2019 and March 21, 2021, at primary and subspecialty care clinics at an academic medical center, including 11 medical providers (medical doctor, doctor of osteopathic medicine, or nurse practitioner). Adult parents of children with medical complexity were eligible if they were English-speaking, with home internet access, and with children with medical complexity aged younger than 12 years. Participants were clustered by provider, with providers crossing over from control to intervention at different stages. The assignment of timing for crossover was random. Control group participants received usual care without any additional interventions. Intervention group participants received a novel web-based tool called GoalKeeper for initial use during the clinic visit and subsequent continued use after the clinic visit. GoalKeeper was co-designed by parents, providers, and computer scientists to include 2 modules, meant to be used by both the parent and medical provider for each child: (1) goal elicitation, used synchronously during a clinic visit; (2) tracking, used asynchronously between visits by parents and providers of children with medical complexity. The primary outcome was quality of goal-setting assessed by the Patient Assessment of Care for Chronic Illness Care goal-setting domain at baseline (t1) and 1 month (t2). We conducted a repeated-measures mixed-effects ANOVA to evaluate between- and within-group differences over time for fixed effects (timing of intervention, intervention×time) and random effect (provider cluster). Results: We enrolled 67 parent-child dyads (control: n=32 control; intervention: n=35). Parents had a mean age of 37.4 (SD 8.2) years, children with medical complexity with mean age 5.6 (SD 0.5) years, and 29 (44%) parents identified as Hispanic. Of the 35 intervention parents, 34 successfully used GoalKeeper during the clinical encounter with their provider. During the follow-up period, quality of goal-setting was sustained at t2 for the intervention group but declined for the control group (δ=0.03 vs -0.43; F49=3.52, P=.06). Similar patterns were observed for care quality (δ=0.01 vs -0.48; F49=4.28, P=.04). Conclusions: Our study demonstrates that family-centered goal-setting may help combat the gradual decline in care quality otherwise experienced by children with medical complexity in between clinic visits. Successful use of the tool with providers in clinic suggests that digital tools are feasible interventions to change family-provider communication around family goals.

Indexed as

GoalsInternetInternet-Based InterventionAdultChildChild, PreschoolChronic DiseaseFemaleHumansMaleParentscare coordinationchildren with medical complexitychronic caredigital healthfamily-centered care

Identifiers

PMID41719520
PMCPMC12923101

What OpenQuestion holds

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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.