Feasibility Testing of Tubes@HOME: A Mobile Application to Support Family-Delivered Enteral Care.
Hosp Pediatr
; 12(7): 663-673, 2022 07 01.
Article
em En
| MEDLINE
| ID: mdl-35670137
ABSTRACT
BACKGROUND:
Assistance from medical devices is common for children with medical complexity (CMC) but introduces caregiving challenges. We tested the feasibility of "Tubes@HOME," a mobile application supporting CMC family-delivered care using enteral care as a model.METHODS:
Caregivers of CMC with enteral tubes participated in a 30-day feasibility study of Tubes@HOME November 2020 through January 2021. Tubes@HOME was available on mobile devices and designed to support collaborative care and tracking over time. Key features include child profile, caregiving network management, care routines, feedback loop, and action plans. Care routines delineated nutrition, medication, and procedural tasks needed for the child frequencies, completions, and reminders. Metadata summarized feature use among users. Feasibility was evaluated with postuse questionnaires and interviews. Measures of Tubes@HOME's usability and usefulness included the NASA Task Load Index (TLX), System Usability Scale (SUS), and Acceptability and Use of Technology Questionnaire (AUTQ).RESULTS:
Among n = 30 children, there were 30 primary (eg, parent) and n = 22 nonprimary caregivers using Tubes@HOME. Children had a median (IQR) 10 (5.5-13) care routines created. For care routines created, 93% were marked complete at least once during the study period, with participants engaging with routines throughout study weeks 2 to 4. Results (mean [SD]) indicated low mental workload (TLX) 30.9 (12.2), good usability (SUS) 75.4 (14.7), and above-average usefulness (AUTQ) 4.0 (0.7) associated with Tubes@HOME, respectively. Interviews contextualized usefulness and suggested improvements.CONCLUSIONS:
Longitudinal use of Tubes@HOME among caregiving networks appeared feasible. Efficacy testing is needed, and outcomes could include reliability of care delivered in home and community.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Aplicativos Móveis
Tipo de estudo:
Prognostic_studies
Limite:
Child
/
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article