Family-Integrated Care (FICare) empowers parents to play an active role as a caregiver for their infant in the neonatal intensive care unit (NICU). This model of care is associated with improved neonatal outcomes, such as improved weight gain and higher breastfeeding rates at discharge in infants admitted to level III NICUs; however, its effectiveness in level II NICUs remains unproven. The objective of this study was to evaluate the effectiveness of the model on neonatal outcomes in a cluster randomized controlled trial conducted in 10 level II NICUs randomized to Alberta FICare or standard care. Mothers and their preterm infants born between 32⁺⁰ and 34⁺⁶ weeks’ gestational age were included. The primary outcome was the proportion of infants who regained their birth weight (BW) after 14 days of life. The analysis included 353 infants/308 mothers at Alberta FICare sites and 365 infants/306 mothers at standard care sites. There was no difference in the proportion of infants who had regained their BW by 14 days between the groups. A lack of perceived improved weight gain trajectory for those in the FICare group is attributed to a shorter length of hospital stay and infants being discharged prior to regaining BW.

Health utilities are a preference-based measure of health-related quality of life that facilitates comparison of disease burden across conditions. We estimated utilities using a population-based, matched sample of adolescents and adults with and without chronic pain, controlling for comorbidity. Ontarians aged ≥12 years with and without chronic pain were identified from the Canadian Community Health Survey (CCHS) 2000-2001 and 2009-2010 and linked to their provincial health care administrative data. Individuals with chronic pain were matched to those without using age, sex, survey year, and a propensity score for having chronic pain estimated from a rurality index, income quintile, and comorbidity. The Health Utilities Index Mark 3 instrument, included in the Canadian Community Health Survey, was used. Mean utilities were calculated for each group. Utility decrement for chronic pain was also calculated for each matched pair. A total of 65,246 responses were available for analysis. After matching, there were 12,146 matched pairs with and without pain. In the matched cohort, mean age was 54 years (SD 12); 61% were female. The matched cohort with chronic pain had a mean utility of 0.59 (95% confidence interval 0.58-0.59), and the decrement associated with chronic pain was 0.32 (95% confidence interval 0.31-0.32). Utilities in people with chronic pain were lower than, and decrements larger than, those seen with most other chronic diseases including heart disease, diabetes, and chronic obstructive pulmonary disease. These data will be useful to inform priorities and future strategies for the prevention and control of chronic pain.

Background: The use of artificial intelligence (AI) for pain assessment has the potential to address historical challenges in infant pain assessment. There is a dearth of information on the perceived benefits and barriers to the implementation of AI for neonatal pain monitoring in the neonatal intensive care unit (NICU) from the perspective of health care professionals (HCPs) and parents. This qualitative analysis provides novel data obtained from 2 large tertiary care hospitals in Canada and the United Kingdom. Objective: The aim of the study is to explore the perspectives of HCPs and parents regarding the use of AI for pain assessment in the NICU. Methods: In total, 20 HCPs and 20 parents of preterm infants were recruited and consented to participate from February 2020 to October 2022 in interviews asking about AI use for pain assessment in the NICU, potential benefits of the technology, and potential barriers to use. Results: The 40 participants included 20 HCPs (17 women and 3 men) with an average of 19.4 (SD 10.69) years of experience in the NICU and 20 parents (mean age 34.4, SD 5.42 years) of preterm infants who were on average 43 (SD 30.34) days old. Six themes from the perspective of HCPs were identified: regular use of technology in the NICU, concerns with regard to AI integration, the potential to improve patient care, requirements for implementation, AI as a tool for pain assessment, and ethical considerations. Seven parent themes included the potential for improved care, increased parental distress, support for parents regarding AI, the impact on parent engagement, the importance of human care, requirements for integration, and the desire for choice in its use. A consistent theme was the importance of AI as a tool to inform clinical decision-making and not replace it. Conclusions: HCPs and parents expressed generally positive sentiments about the potential use of AI for pain assessment in the NICU, with HCPs highlighting important ethical considerations. This study identifies critical methodological and ethical perspectives from key stakeholders that should be noted by any team considering the creation and implementation of AI for pain monitoring in the NICU.