Paige Church

Dr. Paige Church

University of Toronto, Faculty of Medicine

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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APArpita Parmar
Arpita Parmar
KEKayla Esser
Kayla Esser
LBLesley Barreira
Lesley Barreira
DMDouglas Miller
Douglas Miller
LMLeora Morinis
Leora Morinis
JOJulia Orkin
Julia Orkin
Context: Acceptance and Commitment Therapy (ACT) is an emerging treatment for improving psychological well-being. Objective: To summarize research evaluating the effects of ACT on psychological well-being in children with special health care needs (SHCN) and their parents. Data Sources: An electronic literature search was conducted in PubMed, Web of Science, Ovid/EMBASE and PsycINFO (January 2000–April 2021). Study Selection: Included were studies that assessed ACT in children with SHCN (ages 0–17y) and/or parents of children with SHCN and had a comparator group. Data Extraction: Descriptive data were synthesized and presented in a tabular format, and data on relevant outcomes (e.g., depressive symptoms, stress, avoidance and fusion) were used in the meta-analyses to explore the effectiveness of ACT (administered independently with no other psychological therapy) compared to no treatment. Results: Ten studies were identified (child (7) and parent (3)). In children with SHCN, ACT was more effective than no treatment at helping depressive symptoms (standardized mean difference [SMD] = −4.27, 95% CI: −5.20, −3.34; p < 0.001) and avoidance and fusion (SMD = −1.64, 95% CI: −3.24, −0.03; p = 0.05), but not stress. In parents of children with SHCN, ACT may help psychological inflexibility (SMD = −0.77, 95% CI: −1.07, −0.47; p < 0.01). Limitations: There was considerable statistical heterogeneity in three of the six meta-analyses. Conclusions: There is some evidence that ACT may help with depressive symptoms in children with SHCN and psychological inflexibility in their parents. Research on the efficacy of ACT for a variety of children with SHCN and their parents is especially limited, and future research is needed.

1 March 2021 in Early Human Development
Verified
Journal Article
Closed access
CECarmina Erdei
Carmina Erdei
CLCindy H. Liu
Cindy H. Liu
MMMichelle Machie
Michelle Machie
PCPaige Church
Paige Church
RHRoy J Heyne
Roy J Heyne

12 August 2021 in Systematic Reviews
Verified
Journal Article
Open access
PDF file
JSJudy Seesahai
Judy Seesahai
MLMaureen Luther
Maureen Luther
PCPaige Church
Paige Church
PMPatricia Maddalena
Patricia Maddalena
Elizabeth AsztalosElizabeth Asztalos
Elizabeth Asztalos
BRBanihani Rudaina
Banihani Rudaina
Background: The General Movements Assessment is a non-invasive and cost-effective tool with demonstrated reliability for identifying infants at risk for cerebral palsy. Early detection of cerebral palsy allows for the implementation of early intervention and is associated with better functional outcomes. No review to date has summarized the utility of the General Movements Assessment to predict cerebral palsy in term and late-preterm infants diagnosed with neonatal encephalopathy.Methods: We conducted a scoping review involving infants born greater than or equal to 34 weeks gestational age to identify all available evidence and delineate research gaps. We extracted data on sensitivity, specificity, and positive and negative predictive values and described the strengths and limitations of the results. We searched five databases (MEDLINE, Embase, PsychINFO, Scopus, and CINAHL) and the General Movements Trust website. Two reviewers conducted all screening and data extraction independently. The articles were categorized according to key findings, and a critical appraisal was performed.Results: Only three studies, a cohort and two case series, met all of the inclusion criteria. The total number of participants was 118. None of the final eligible studies included late-preterm neonates. All three studies reported on sensitivity, specificity, and positive predictive and negative predictive values. An abnormal General Movement Assessment at 3–5 months has a high specificity (84.6–98%) for cerebral palsy with a similarly high negative predictive value (84.6–98%) when it was normal. Absent fidgety movements, in particular, are highly specific (96%) for moderate to severe cerebral palsy and carry a high negative predictive value (98%) when normal. In the time period between term and 4–5 months post-term, any cramped synchronized movements had results of 100% sensitivity and variable results for specificity, positive predictive value, and negative predictive value.Conclusions: A normal General Movements Assessment at 3 months in a term high-risk infant is likely associated with a low risk for moderate/severe cerebral palsy. The finding of cramped synchronized General Movements is a strong predictor for the diagnosis of cerebral palsy by 2 years of age in the term population with neonatal encephalopathy. The deficit of high-quality research limits the applicability, and so the General Movements Assessment should not be used in isolation when assessing this population.Systematic review registration: Title registration with Joanna Briggs Institute. URL:http://joannabriggswebdev.org/research/registered_titles.aspx.

20 August 2019 in Journal of Perinatology
Verified
Journal Article
Closed access
PDF file
KRKamini Raghuram
Kamini Raghuram
SOSilvia Orlandi
Silvia Orlandi
VSVibhuti Shah
Vibhuti Shah
Tom ChauTom Chau
Tom Chau
MLMaureen Luther
Maureen Luther
PCPaige Church
Paige Church

7 June 2022 in Children
Verified
Journal Article
Open access
PDF file
KRKamini Raghuram
Kamini Raghuram
SOSilvia Orlandi
Silvia Orlandi
PCPaige Church
Paige Church
MLMaureen Luther
Maureen Luther
AKAlex Kiss
Alex Kiss
VSVibhuti Shah
Vibhuti Shah
The General Movements Assessment requires extensive training. As an alternative, a novel automated movement analysis was developed and validated in preterm infants. Infants < 31 weeks’ gestational age or birthweight ≤ 1500 g evaluated at 3–5 months using the general movements assessment were included in this ambispective cohort study. The C-statistic, sensitivity, specificity, positive predictive value, and negative predictive value were calculated for a predictive model. A total of 252 participants were included. The median gestational age and birthweight were 274/7 weeks (range 256/7–292/7 weeks) and 960 g (range 769–1215 g), respectively. There were 29 cases of cerebral palsy (11.5%) at 18–24 months, the majority of which (n = 22) were from the retrospective cohort. Mean velocity in the vertical direction, median, standard deviation, and minimum quantity of motion constituted the multivariable model used to predict cerebral palsy. Sensitivity, specificity, positive, and negative predictive values were 55%, 80%, 26%, and 93%, respectively. C-statistic indicated good fit (C = 0.74). A cluster of four variables describing quantity of motion and variability of motion was able to predict cerebral palsy with high specificity and negative predictive value. This technology may be useful for screening purposes in very preterm infants; although, the technology likely requires further validation in preterm and high-risk term populations.

16 March 2021 in Children
Verified
Journal Article
Open access
PDF file
BRBanihani Rudaina
Banihani Rudaina
JSJudy Seesahai
Judy Seesahai
Elizabeth AsztalosElizabeth Asztalos
Elizabeth Asztalos
PCPaige Church
Paige Church
Advances in neuroimaging of the preterm infant have enhanced the ability to detect brain injury. This added information has been a blessing and a curse. Neuroimaging, particularly with magnetic resonance imaging, has provided greater insight into the patterns of injury and specific vulnerabilities. It has also provided a better understanding of the microscopic and functional impacts of subtle and significant injuries. While the ability to detect injury is important and irresistible, the evidence for how these injuries link to specific long-term outcomes is less clear. In addition, the impact on parents can be profound. This narrative summary will review the history and current state of brain imaging, focusing on magnetic resonance imaging in the preterm population and the current state of the evidence for how these patterns relate to long-term outcomes.