Literature DB >> 30596079

Does a text-messaging program to promote early childhood development reach the highest risk families?

Maureen Cunningham1,2, Sheana Bull3, Monica C McNulty4, Kathryn Colborn3, Catia Chavez4, Stephen Berman1,2, Jean McSpadden5, Jared Wigdor5, Mandy A Allison1,4.   

Abstract

BACKGROUND: Bright by Three (BB3), a non-profit organization that promotes caregiver behaviors to support language development in young children was augmented with a text-messaging program, Bright by Text (BBT), in 2015. While some evidence suggests that text-messaging can promote early development, it is unknown if these interventions are reaching children at increased sociodemographic risk for developmental delay. The purpose of this study is to compare socio-demographic characteristics of caregivers who did and did not enroll in BBT.
METHODS: Retrospective analysis of caregivers who received BB3 written materials and were eligible to sign up for BBT in 2016. Outcomes: (I) provision of a mobile phone number; (II) enrollment in BBT (receipt of 3+ messages). Predictors: education, marital status, race/ethnicity, insurance, language, and urban vs. rural residence. A multivariable generalized linear model was used to determine characteristics of caregivers more likely to sign up for BBT.
RESULTS: A total of 18,145 caregivers received BB3 written materials; 10,843 (60%) provided a mobile phone number and 2,314 (21%) enrolled in BBT. The relative risk (RR) of enrollment was higher for caregivers who were non-minority (RR 1.15, 95% CI, 1.04-1.28), had higher education (1.60, 1.35-1.89), had private insurance (1.15, 1.15-1.28) and lived in urban areas (1.21, 1.06-1.37). Non-English speaking caregivers were less likely to enroll (0.73, 0.59-0.90).
CONCLUSIONS: Caregivers with lower incomes and education, minorities and non-English speakers were less likely to enroll in BBT. Future research could identify ways to increase engagement among these populations and determine if BBT is effective in changing parent behavior and improving children's development.

Entities:  

Keywords:  Mobile health (mHealth); Short Messaging Service messaging (SMS messaging); early child development; text-messaging

Year:  2018        PMID: 30596079      PMCID: PMC6286891          DOI: 10.21037/mhealth.2018.11.03

Source DB:  PubMed          Journal:  Mhealth        ISSN: 2306-9740


  18 in total

1.  Digital technology use among disadvantaged Australians: implications for equitable consumer participation in digitally-mediated communication and information exchange with health services.

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2.  Maternal support in early childhood predicts larger hippocampal volumes at school age.

Authors:  Joan L Luby; Deanna M Barch; Andy Belden; Michael S Gaffrey; Rebecca Tillman; Casey Babb; Tomoyuki Nishino; Hideo Suzuki; Kelly N Botteron
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-30       Impact factor: 11.205

3.  Early childhood adversity, toxic stress, and the role of the pediatrician: translating developmental science into lifelong health.

Authors:  Andrew S Garner; Jack P Shonkoff
Journal:  Pediatrics       Date:  2011-12-26       Impact factor: 7.124

4.  The effect of an early education program on adult health: the Carolina Abecedarian Project randomized controlled trial.

Authors:  Peter Muennig; Dylan Robertson; Gretchen Johnson; Frances Campbell; Elizabeth P Pungello; Matthew Neidell
Journal:  Am J Public Health       Date:  2011-01-13       Impact factor: 9.308

5.  The impact of a clinic-based literacy intervention on language development in inner-city preschool children.

Authors:  A L Mendelsohn; L N Mogilner; B P Dreyer; J A Forman; S C Weinstein; M Broderick; K J Cheng; T Magloire; T Moore; C Napier
Journal:  Pediatrics       Date:  2001-01       Impact factor: 7.124

6.  The development of cognitive and academic abilities: growth curves from an early childhood educational experiment.

Authors:  F A Campbell; E P Pungello; S Miller-Johnson; M Burchinal; C T Ramey
Journal:  Dev Psychol       Date:  2001-03

7.  More evidence for reach out and read: a home-based study.

Authors:  Carol Cohen Weitzman; Lisa Roy; Theodore Walls; Ricarda Tomlin
Journal:  Pediatrics       Date:  2004-05       Impact factor: 7.124

8.  The effects of poverty on childhood brain development: the mediating effect of caregiving and stressful life events.

Authors:  Joan Luby; Andy Belden; Kelly Botteron; Natasha Marrus; Michael P Harms; Casey Babb; Tomoyuki Nishino; Deanna Barch
Journal:  JAMA Pediatr       Date:  2013-12       Impact factor: 16.193

9.  Perinatal and socioeconomic risk factors for variable and persistent cognitive delay at 24 and 48 months of age in a national sample.

Authors:  Marianne M Hillemeier; Paul L Morgan; George Farkas; Steven A Maczuga
Journal:  Matern Child Health J       Date:  2011-10

10.  Early identification of young children at risk for poor academic achievement: preliminary development of a parent-report prediction tool.

Authors:  Susmita Pati; Kyleen Hashim; Brett Brown; Alexander G Fiks; Christopher B Forrest
Journal:  BMC Health Serv Res       Date:  2011-08-18       Impact factor: 2.655

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