Evidence map›Paper›PMID 34780344›Full record

ArticleJMIR nursing2022

An mHealth App-Based Self-management Intervention for Family Members of Pediatric Transplant Recipients (myFAMI): Framework Design and Development Study.

Riddhiman Adib, Dipranjan Das, Sheikh Iqbal Ahamed, Stacee Marie Lerret

Open access · goldAbstract read
In one paragraph

Article in JMIR nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 1 country.

Riddhiman Adib *Department of Computer Science, Marquette University, Milwaukee, WI, United States.ORCID https://orcid.org/0000-0002-2855-342X
Dipranjan Das *Department of Computer Science, Marquette University, Milwaukee, WI, United States.ORCID https://orcid.org/0000-0002-0553-8446
Sheikh Iqbal Ahamed *Department of Computer Science, Marquette University, Milwaukee, WI, United States.ORCID https://orcid.org/0000-0001-5385-7647
Stacee Marie Lerret *Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, United States.ORCID https://orcid.org/0000-0002-3760-7127
Marquette University · USMedical College of Wisconsin · US

Funding

mHealth Family Self-management Intervention for Parents of Transplanted ChildrenK23NR017652 · NINR · MEDICAL COLLEGE OF WISCONSIN · PI LERRET, STACEE M · 2018 to 2020
$372k
NINR NIH HHS K23 NR017652
6 · The paper itself

Abstract

backgroundSolid-organ transplantation is the treatment of choice for children with end-stage organ failure. Ongoing recovery and medical management at home after transplant are important for recovery and transition to daily life. Smartphones are widely used and hold the potential for aiding in the establishment of mobile health (mHealth) protocols. Health care providers, nurses, and computer scientists collaboratively designed and developed mHealth family self-management intervention (myFAMI), a smartphone-based intervention app to promote a family self-management intervention for pediatric transplant patients' families.

objectiveThis paper presents outcomes of the design stages and development actions of the myFAMI app framework, along with key challenges, limitations, and strengths.

methodsThe myFAMI app framework is built upon a theory-based intervention for pediatric transplant patients, with aid from the action research (AR) methodology. Based on initially defined design motivation, the team of researchers collaboratively explored 4 research stages (research discussions, feedback and motivations, alpha testing, and deployment and release improvements) and developed features required for successful inauguration of the app in the real-world setting.

resultsDeriving from app users and their functionalities, the myFAMI app framework is built with 2 primary components: the web app (for nurses' and superadmin usage) and the smartphone app (for participant/family member usage). The web app stores survey responses and triggers alerts to nurses, when required, based on the family members' response. The smartphone app presents the notifications sent from the server to the participants and captures survey responses. Both the web app and the smartphone app were built upon industry-standard software development frameworks and demonstrate great performance when deployed and used by study participants.

conclusionsThe paper summarizes a successful and efficient mHealth app-building process using a theory-based intervention in nursing and the AR methodology in computer science. Focusing on factors to improve efficiency enabled easy navigation of the app and collection of data. This work lays the foundation for researchers to carefully integrate necessary information (from the literature or experienced clinicians) to provide a robust and efficient solution and evaluate the acceptability, utility, and usability for similar studies in the future. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1002/nur.22010.

Indexed as

family self-managementmHealthmobile healthpediatric patientssmartphonetransplant

Identifiers

PMID34780344
PMCPMC8767472
OpenAlexW3212803345

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.