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Development of the Self-Injury Risk Assessment Protocol for Corrections (SIRAP-C).
Law Hum Behav
June 2022
Department of Public Health Sciences.
Objective: We developed the Self-Injury Risk Assessment Protocol for Corrections (SIRAP-C) to meet legal mandates for self-directed violence (SDV) risk assessment standards in correctional settings. We focused on two empirical aims: (1) factor structure and internal consistency and (2) subscale associations with SDV and intervention recommendation outcomes.
Hypotheses: We expected a multifactorial SIRAP-C structure with acceptable internal consistency.
(Re)'Thinking' family in nursing care in pandemic times.
Int Nurs Rev
March 2022
Santa Maria Health School, Porto, Portugal.
Aim: This study aimed to identify which strategies are being adopted to deal with family restrictions in health units and assess nurses' perceptions of including families in nursing care during the current pandemic.
Background: Due to the COVID-19 pandemic, health organisations limited access for visitors.
Introduction: Family centred care needs to be guaranteed, and alternatives for face-to-face interaction should be fostered.
Families' Experiences Living with Acquired Brain Injury: "Thinking Family"-A Nursing Pathway for Family-Centered Care.
Nurs Res Pract
August 2020
University of Manitoba, Faculty of Social Work, Winnipeg, Canada.
The objective of this study was to examine families' experiences living with acquired brain injury (ABI) using a research approach that included the affected individual family member and the family together as a family group. A narrative inquiry study, informed by the life-stage approach of Lieblich, Tuval-Mashiach, and Zilber, was used to obtain family stories. Families experiencing an ABI event were purposefully selected from different regions in a western Canadian province.
View Article and Find Full Text PDFPrediction of excess pregnancy weight gain using psychological, physical, and social predictors: A validated model in a prospective cohort study.
PLoS One
August 2020
Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada.
Objective: To develop and validate a prediction model for excess pregnancy weight gain using early pregnancy factors.
Design: Prospective cohort study.
Setting: We recruited from 12 obstetrical, family medicine, and midwifery centers in Ontario, Canada.
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