This paper describes a strategy for using evidence-based interventions (EBI) that does not require replication and fidelity. Eight parents, identified as positive role models, conducted home visits for 101 low-income Latina and Korean pregnant women. The home visitors, called mentor mothers (MM), were trained in 10 of the practice elements common to 80% of child-focused EBI and how to apply these skills to support mothers in obesity prevention, to increase the duration of breastfeeding, and to reduce depression. MM reported the content and skills utilized on each home visit on mobile phones. Each MM made an average of 153 home visits (SD = 173.3), with 28 of these visits being phone contacts. Body mass index (BMI) at 6 months was significantly associated with the frequency of MM focused on coping with depression (r = .24), but was not related to practice elements used by MM. The duration of breastfeeding was significantly related to the frequency with which MM focused on the topic of breastfeeding (r = .28) and parenting (r = .3), and MM use of attending (r = .24) and relaxation (r = .27). Depression was significantly correlated with the frequency of addressing depression (r = .27), but not to practice elements. MM did use different strategies in the first 150 visits compared to their last 150 visits, reflecting data-informed supervision. Evidence synthesized from EBI was used as a novel training method, with real-time monitoring and data-informed supervision providing evidence of iterative quality improvements in MM behaviors over time, as well as a way for linking implementation processes to outcomes.
Prevention Science – Springer Journals
Published: Apr 27, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera