Physical Activity Support Predicts Safety-Net Patients' Digital Health-Care Engagement: Implications for Patient Care Delivery.


Journal

American journal of health promotion : AJHP
ISSN: 2168-6602
Titre abrégé: Am J Health Promot
Pays: United States
ID NLM: 8701680

Informations de publication

Date de publication:
03 2020
Historique:
pubmed: 21 12 2019
medline: 10 3 2021
entrez: 21 12 2019
Statut: ppublish

Résumé

Assess relationship among health services received and patients' digital health-care engagement. Quantitative cross-sectional survey study. Community health centers in Washington state and DC. N = 164 adult safety-net patients. Not applicable. Outcomes were knowledge and use of health apps. Predictors were health service access (access to specialists and health information); health service delivery (healthy eating and physical activity counsel); health service satisfaction; and perceived service value. Descriptive and multivariate regression analyses. Odds ratios (OR) reported for 95% confidence interval (CI). Response rate was 35%. Of all, 71% were knowledgeable of smartphone use for wellness and 48% used health apps. Physical activity (PA) counseling predicted knowledge and health apps use. Respondents receiving PA counseling were 2.61 times more likely to be knowledgeable about using smartphones for health promotion (OR = 2.61; Targeted preventive care support encourages digital health-care engagement. mHealth may supplement health-care needs outside clinics.

Identifiants

pubmed: 31858828
doi: 10.1177/0890117119894508
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

311-315

Auteurs

Sharon S Laing (SS)

School of Nursing and Healthcare Leadership, University of Washington Tacoma, WA, USA.
Department of Health Services, School of Public Health, University of Washington, Seattle, WA, USA.

Ryan Sterling (R)

Department of Health Services, School of Public Health, University of Washington, Seattle, WA, USA.

Carlota Ocampo (C)

Department of Psychology, Trinity Washington University, Washington, DC, USA.

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Classifications MeSH