Designing and Evaluating a Digital Family Health History Tool for Spanish Speakers.

Spanish language conversational agent e-health ethnic/racial minorities evaluation of genomic tools for public health family health history genetic communication health disparities health literacy public health genetics

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
07 12 2019
Historique:
received: 21 11 2019
revised: 25 11 2019
accepted: 04 12 2019
entrez: 11 12 2019
pubmed: 11 12 2019
medline: 28 4 2020
Statut: epublish

Résumé

Digital family health history tools have been developed but few have been tested with non-English speakers and evaluated for acceptability and usability. This study describes the cultural and linguistic adaptation and evaluation of a family health history tool (VICKY: VIrtual Counselor for Knowing Your Family History) for Spanish speakers. In-depth interviews were conducted with 56 Spanish-speaking participants; a subset of 30 also participated in a qualitative component to evaluate the acceptability and usability of Spanish VICKY. Overall, agreement in family history assessment was moderate between VICKY and a genetic counselor (weighted kappa range: 0.4695 for stroke-0.6615 for heart disease), although this varied across disease subtypes. Participants felt comfortable using VICKY and noted that VICKY was very likeable and possessed human-like characteristics. They reported that VICKY was very easy to navigate, felt that the instructions were very clear, and thought that the time it took to use the tool was just right. Spanish VICKY may be useful as a tool to collect family health history and was viewed as acceptable and usable. The study results shed light on some cultural differences that may influence interactions with family history tools and inform future research aimed at designing and testing culturally and linguistically diverse digital systems.

Identifiants

pubmed: 31817849
pii: ijerph16244979
doi: 10.3390/ijerph16244979
pmc: PMC6950582
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NHGRI NIH HHS
ID : R01 HG007746
Pays : United States
Organisme : NIH HHS
ID : 3R01HG007746-03S1
Pays : United States

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Auteurs

Maria Cerda Diez (M)

Department of Community Health Sciences, Boston University School of Public Health, Boston, MA 02118, USA.

Dharma E Cortés (D)

Health Equity Research Lab, Cambridge Health Alliance, Cambridge, MA 02141, USA.
Department of Psychiatry, Harvard Medical School, Cambridge, MA 02139, USA.

Michelle Trevino-Talbot (M)

Department of Community Health Sciences, Boston University School of Public Health, Boston, MA 02118, USA.

Candice Bangham (C)

Department of Community Health Sciences, Boston University School of Public Health, Boston, MA 02118, USA.

Michael R Winter (MR)

Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA 02118, USA.

Howard Cabral (H)

Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.

Tricia Norkunas Cunningham (T)

Department of Community Health Sciences, Boston University School of Public Health, Boston, MA 02118, USA.

Diana M Toledo (D)

Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA.

Deborah J Bowen (D)

Department of Bioethics and Humanities, School of Public Health, University of Washington, Seattle, WA 98195, USA.

Michael K Paasche-Orlow (M)

Department of Medicine, Boston University School of Medicine, Boston, MA 02218, USA.

Timothy Bickmore (T)

College of Computer and Information Science, Northeastern University, Boston, MA 02115, USA.

Catharine Wang (C)

Department of Community Health Sciences, Boston University School of Public Health, Boston, MA 02118, USA.

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Classifications MeSH