Background: Influenza vaccination coverage is low, especially among low-income populations. Most doses are generally administered early in the influenza season, yet sustained vaccination efforts are crucial for achieving optimal coverage. The impact of text message influenza vaccination reminders was recently demonstrated in a low-income population. Little is known about their effect on children with delayed influenza vaccination or the most effective message type.
Purpose: To determine the impact of educational plus interactive text message reminders on influenza vaccination of urban low-income children unvaccinated by late fall.
Design: Randomized controlled trial.
Setting/participants: Parents of 5,462 children aged 6 months-17 years from four academically affiliated pediatric clinics who were unvaccinated by mid-November 2011.
Intervention: Eligible parents were stratified by their child's age and pediatric clinic site and randomized using a 1:1:1 allocation to educational plus interactive text message reminders, educational-only text message reminders, or usual care. Using an immunization registry-linked text messaging system, parents of intervention children received up to seven weekly text message reminders. One of the messages sent to parents in the educational plus interactive text message arm allowed selection of more information about influenza and influenza vaccination.
Main Outcome Measures: Influenza vaccination by March 31, 2012. Data were collected and analyzed between 2012 and 2014.
Results: Most children were publicly insured and Spanish speaking. Baseline demographics were similar between groups. More children of parents in the educational plus interactive text message arm were vaccinated (38.5%) versus those in the educational-only text message (35.3%; difference=3.3%, 95% CI=0.02%, 6.5%; relative risk ratio (RRR)=1.09, 95% CI=1.002, 1.19) and usual care (34.8%; difference=3.8%, 95% CI=0.6%, 7.0%; RRR=1.11, 95% CI=1.02-1.21) arms.
Conclusions: Text message reminders with embedded educational information and options for interactivity have a small positive effect on influenza vaccination of urban, low-income, minority children who remain unvaccinated by late fall.
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http://dx.doi.org/10.1016/j.amepre.2014.10.023 | DOI Listing |
Trials
January 2025
Department of Community and Behavioral Health, Colorado School of Public Health, Denver, CO, USA.
Background: Disparities in sexually transmitted infections (STI) including human immunodeficiency virus (HIV) among sexual minority boys and young men are substantial. Effective HIV and STI prevention programs that include access to pre-exposure prophylaxis (PrEP) medication do not consistently include younger sexual minority men. Text-messaging programs for HIV prevention have been associated with increases in HIV testing among sexual minority adolescent boys, but these programs have not incorporated a focus on PrEP or STIs beyond HIV.
View Article and Find Full Text PDFBMJ Qual Saf
January 2025
NYU Grossman School of Medicine, New York, New York, USA
Previous studies have demonstrated that text message reminders can improve pediatric vaccination rates, including low income & diverse settings such as those served by federally qualified health centers. In this study, we aimed to improve compliance with routine childhood immunizations via a text message intervention in a network of urban, federally qualified health centers at a large academic medical center. We targeted parents or guardians of children aged 0-2 years who were overdue or due within 14 days for at least one routine childhood immunization without a scheduled appointment.
View Article and Find Full Text PDFRev Med Chil
July 2024
Facultad de Enfermería, Universidad Autónoma de Nuevo León, México.
Unlabelled: Information and communication technologies constitute a resource that can improve the effectiveness of programs focused on people with chronic diseases, especially those with type 2 diabetes mellitus, strengthening the care management provided by the nursing professional.
Aim: To evaluate the available evidence to understand the effects of information and communication technologies on glycaemic control in people with type 2 diabetes.
Material And Methods: Databases used for research were Web of Science, PubMed, and Scopus between January and March of 2023.
Heliyon
December 2024
Department of Computer Science & Engineering, K L E F Deemed To Be University, Green Fields, Vaddeswaram, Guntur (dt), Andhra Pradesh, 521230, India.
Real-time monitoring and anomaly detection are essential in healthcare to ensure safe conditions for patients and maintain the integrity of medical data samples. The majority of existing systems, despite improvements in healthcare technologies, cannot capture the spatial and temporal patterns of multimodal data simultaneously, process high Volume data in real-time, and ensure the privacy of patients' identity effectively. In this work, we handle these limitations by proposing a complete approach that uses state-of-the-art deep learning and data processing architectures to realize resilient anomaly detection in healthcare systems.
View Article and Find Full Text PDFEur J Cardiovasc Nurs
January 2025
Department of Environmental and Occupational Health, School of Public Health, University of Nevada, 4505 S Maryland Pkwy, Las Vegas, NV 89154, USA.
Aims: This study aimed to determine the effect of a multi-component mHealth intervention on patient activation and examine its predictors among older adults at risk of cardiovascular disease (CVD).
Methods And Results: This pilot randomized controlled trial compared two groups: Get FIT (control), who received healthy lifestyle counselling from a licensed health coach, a mHealth app (MyFitnessPal) with push alerts, and an activity tracker, and Get FIT + (intervention), who received the same interventions and had personalized text messages with 3- and 6-month follow-up periods. Patient activation was measured using the 13-item Patient Activation Measure; higher scores indicated better activation.
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