Medicine and Health Sciences Commons^™

A Survey Identifying Leadership And Research Activities Among Nurse Practitioners, Mary Ryder, Elisabeth Jacob, Joyce Hendricks

Research outputs 2014 to 2021

Background:

Nurse Practitioners are identified as the ideal conduit to transform healthcare delivery internationally. Healthcare transformation requires the application of leadership and research skills. Current literature has limited information on NPs as leaders or researchers in the nursing profession.

Objectives:

Determine if Nurse Practitioners identify themselves as leaders in nursing. Identify the leadership and research activities and influencing characteristics of Nurse Practitioners in Ireland and Australia. Establish similarities in leadership and research activities between Nurse Practitioners in Ireland and Australia. To identify if there is a relationship between leadership and research activities.

Design:

A quantitative electronic survey.

Methods:

A …

Mentalisation Amongst Maternal And Child Health Nurses Using The Newborn Behavioural Observations With Infant-Mother Dyads: A Qualitative Study, Kim Simkin-Tran, Bronwyn Harman, Susan Nicolson

Research outputs 2014 to 2021

© 2020 Elsevier Inc. Purpose: This study explored Maternal and Child Health Nurses' (MCHN) mentalisation processes towards infant-mother dyads when using the Newborn Behavioural Observations (NBO) system in practice. Design and methods: Ten Australian MCHNs (female; aged 31–66 years), who had used the NBO clinically within the last 12 months, were recruited from a database of NBO-trained practitioners. Interpretative phenomenological analysis of one-on-one semi-structured interviews explored MCHNs experiential meaning-making. Results: Analysis of the data produced four main themes: reflections regarding the dyad, personal reflections, reflection into action, and professional identity and future practice. MCHNs reported that the NBO's focus on …

Interpreting Health Events In Big Data Using Qualitative Traditions, Roschelle L. Fritz, Gordana Dermody

Research outputs 2014 to 2021

© The Author(s) 2020. The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intelligent agent to detect Restless Leg Syndrome. We show how one interdisciplinary, inter-methodological research team used both sensor-based data and the participant’s description of their experience with an episode of Restless Leg Syndrome for training the intelligent agent. …