Top 10 (plus 1) research priorities for expectant families and those with children to age 24 months in Alberta, Canada: results from the Family Research Agenda Initiative Setting (FRAISE) priority setting partnership project.

OBJECTIVE: The study objective was to identify the top 10 research priorities for expectant parents and caregivers of children up to age 24 months. DESIGN: A priority setting partnership using a modified James Lind Alliance approach was implemented. First, a core steering committee was formed, consisting of 17 parents, clinicians and community agency representatives. Second, through in-person collaboration with steering committee members, we developed and distributed a survey to identify research priorities across 12 topics. In total, 596 participants consented and 480 completed the survey. Survey responses were grouped and themed into codes during a consensus-building workshop with steering committee members (n=18). Research and practice experts were consulted to provide feedback on which themes had already been researched. An in-person (n=21) workshop was used to establish the top 34 priorities, which were circulated to the broader steering committee (n=25) via an online survey. Finally, the core steering committee members (n=18) met to determine and rank a top 10 (plus 1) list of research priorities. SETTING: This study was conducted in Alberta, Canada. PARTICIPANTS: Expectant parents and caregivers of children up to age 24 months. RESULTS: Survey results provided 3232 responses, with 202 unique priorities. After expert feedback and steering committee consensus, a list of 34 priorities was moved forward for final consideration. The final top 10 (plus 1) research priorities included three priorities on mental health/relationships, two priorities on each of access to information, immunity and child development, and one priority on each of sleep, pregnancy/labour and feeding. Selecting 11 instead of 10 priorities was based on steering committee consensus. CONCLUSIONS: The findings will direct future maternal-child research, ensuring it is rooted in parent-identified priorities that represent contemporary needs. To provide meaningful outcomes, research in these priority areas must consider diverse socioeconomic backgrounds and experiences.

Study Protocol: Determining Research Priorities of Young Albertan Families (The Family Research Agenda Initiative Setting Project-FRAISE)-Participatory Action Research.

Introduction: Pregnancy and childrearing can be an exciting and stressful time for new parents. The maternal-child health landscape has changed dramatically over the last few decades and research priorities need to address these rapid changes. There have been limited attempts to engage and collaborate with members of the public to develop research priorities for families who are expecting or parenting an infant to age 24 months. The work that has been completed has attempted to identify parental preference for information delivery and barriers to uptake of parenting programs but has not investigated parental research priorities. Methods: In collaboration with provincial research units and strategic clinical networks (SCN), we will use principles of participatory action research (PAR) as our theoretical framework/method, and a modified James Lind Alliance priority setting approach to prioritize a list of research questions that parents/knowledge users believe will support the health of their families. This will result in a top 10 list of parent/knowledge user-identified research priorities. This project will consist of three phases. In the first phase, we developed a steering committee of parents/knowledge users, healthcare providers, community agencies, and researchers to design a survey about health priorities for families. In the second phase, we will distribute the survey to diverse groups of parents/knowledge users/providers and hold a series of meetings to identify and prioritize potential questions from new parents about health issues from conception to age 24 months. In the third phase, we will collaboratively disseminate and translate findings. Discussion: This study will highlight parental health concerns and recommend parent-identified research priorities to inform future research projects needed to support the health of families between conception to age 24 months. Understanding the health research priorities of families in the community will help ensure future research contributes to meaningful changes in the health of young children, parents/knowledge users, and families. Ethics: This study and protocol have received ethical approved from the Conjoint Health Research Ethics Board at the University of Calgary (REB17-0014). Dissemination: The top 10 research priorities will be published and additional findings from the study will be distributed through pamphlets and newsletters.

Real-time generation of representations for cognitive models.

Computerized models of human cognition and behavior have been used to help researchers refine their theories of cognitive processes. Two difficulties inherent in using these cognitive models are that building representations of to-be-modeled groups or individuals is (1) time-consuming and (2) prone to error when performed manually. The use of computerized tools to build representations for cognitive models could alleviate these problems. Such a set of tools has been developed and applied to the task of modeling individual aviation pilots performing flight maneuvers in real time. A study conducted with 27 pilots confirms the accuracy of the computer-generated representations.

Memory processes of flight situation awareness: interactive roles of working memory capacity, long-term working memory, and expertise.

This research examined the role of working memory (WM) capacity and long-term working memory (LT-WM) in flight situation awareness (SA). We developed spatial and verbal measures of WM capacity and LT-WM skill and then determined the ability of these measures to predict pilot performance on SA tasks. Although both spatial measures of WM capacity and LT-WM skills were important predictors of SA performance, their importance varied as a function of pilot expertise. Spatial WM capacity was most predictive of SA performance for novices, whereas spatial LT-WM skill based on configurations of control flight elements (attitude and power) was most predictive for experts. Furthermore, evidence for an interactive role of WM and LT-WM mechanisms was indicated. Actual or potential applications of this research include cognitive analysis of pilot expertise and aviation training.

Pilot ability to anticipate the consequences of flight actions as a function of expertise.

The study offers insights into pilot ability to anticipate consequences of actions and how this ability changes with experience. Novice and expert pilots completed trials in which 3 screens depicted a control movement (or control movements), a cockpit flight situation, or a change in flight situation. Changes depicted in the 3rd screen of each trial were consistent, inconsistent with the mental model of the effect of the control movement or movements, or inconsistent with the application of the control movement(s) to the current flight situation. Pilots indicated whether the depicted change was inconsistent or consistent with their expectations, and accuracy of consistency judgments was greater for mental-model than for situation-model inconsistent statements. Experts are more accurate than novices, particularly for trials that involve multiple, meaningfully related control movements. Expert ability to organize information into meaningful units appears to facilitate future flight state projections, and projection failures appear to result from situation- rather than mental-model failures. Actual or potential applications of this research include analysis of flight situation awareness and flight performance errors.

Roles of working memory capacity and long-term working memory skill in complex task performance.

In the present research, we examined the relative roles of domain-general and domain-specific individual difference characteristics in complex cognitive task performance. Specifically, we examined the impact both of working memory (WM) capacity and of acquired skills used to encode presented information in an accessible form in long-term working memory (LTWM) on performance in a complex aviation task environment. Measures of WM capacity and LTWM skill served as performance predictors. A criterion measure of task performance was related to the predictor measures. The results indicated that an increase in LTWM skill decreases the role of WM capacity as the determinant of complex task performance, although both measures are important performance predictors. We discuss how the two distinct WM constructs coexist and interact to support complex task performance.