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Feasibility of training service providers on the AMBIANCE-Brief measure for use in community settings.

Sheri MadiganRachel EirichNicole RacineCatherine Borland-KerrJessica E CookeChloe DevereuxAndré R PlamondonGeorge M TarabulsyChantal CyrJohn D HaltiganYvonne BohrElisa BronfmanKarlen Lyons-Ruth
Published in: Infant mental health journal (2020)
The Atypical Maternal Behavior Instrument for Assessment and Classification-Brief (AMBIANCE-Brief) was developed to provide a clinically useful and psychometrically sound assessment of disrupted parenting behavior for community practitioners. With prior evidence of this tool's reliability and validity in laboratory settings, this study aimed to determine whether providers from family service agencies could become reliable in the use of the level of disrupted communication following a brief training. Providers (N = 46) from three agency sites participated in a 2-day AMBIANCE-Brief training and, at the end of the training, coded eight videotaped mother-child interactions. Novice participant coding was compared to expert consensus ratings using intraclass correlations. On average, participants' interrater agreement was good (ICCmean  = .84, SD = 0.10), with 89% meeting the reliability standards of ICC ≥ .70. In response to queries, 100% of participants indicated that they would recommend the AMBIANCE-Brief training to their colleagues, 85% reported that the AMBIANCE-Brief measure would be useful or very useful for their clinical practice, and 56% of participant clinicians believed that parents would find the measure acceptable or very acceptable for integration into intervention or support planning. Altogether, these findings speak to the feasibility of using the AMBIANCE-Brief in community settings. Future studies are needed in diverse clinical and community contexts to evaluate whether use of this assessment tool can inform more targeted interventions tailored to the specific needs of families.
Keyphrases
  • mental health
  • healthcare
  • virtual reality
  • clinical practice
  • randomized controlled trial
  • machine learning
  • primary care
  • deep learning
  • physical activity
  • pregnant women
  • pregnancy outcomes
  • current status