Using a rapid review process to engage stakeholders, inform policy and set priorities for promoting physical activity and leisure participation for children with disabilities in British Columbia

2020 ◽  
Vol 44 (2) ◽  
pp. 225-253
Author(s):  
Ebele Mogo ◽  
Icoquih Badillo ◽  
Annette Majnemer ◽  
Kellie Duckworth ◽  
Sheila Kennedy ◽  
...  
2018 ◽  
Author(s):  
Emily R Dibble ◽  
Bradley E Iott ◽  
Allen J Flynn ◽  
Darren P King ◽  
Mark P MacEachern ◽  
...  

BACKGROUND Health system decisions to put new technologies into clinical practice require a rapid and trustworthy decision-making process informed by best evidence. OBJECTIVE This study aimed to present a rapid evidence review process that can be used to inform health system leaders and clinicians seeking to implement new technology tools to improve patient-clinician decision making and patient-oriented outcomes. METHODS The rapid evidence review process we pioneered involved 5 sequential subprocesses: (1) environmental scan, (2) expert panel recruitment, (3) host evidence review panel, (4) analysis, and (5) local validation panel. We conducted an environmental scan of health information technology (IT) literature to identify relevant digital tools in oncology care. We synthesized the recent literature using current evidence review methods, creating visual summaries for use by a national panel of experts. Panelists were taken through a 6-hour modified Delphi process to prioritize tools for implementation. Findings from the rapid evidence review panel were taken to a local validation panel for further rapid review during a 3-hour session. RESULTS Our rapid evidence review process shows promise for informing decision making by reducing the amount of time and resources needed to identify and prioritize adoption of IT tools. Despite evidence of improved patient outcomes, panelists had substantial concerns about implementing patient-reported outcome tracking tools, voicing concerns about liability, lack of familiarity with new technology, and additional time and workflow changes such tools would require. Instead, clinicians favored technologies that did not require clinician involvement. CONCLUSIONS Health system leaders can use the rapid evidence review process presented here to usefully inform local technology adoption, implementation, and use in practice.


2017 ◽  
Vol 49 (5S) ◽  
pp. 71
Author(s):  
Cindy H.P. Sit ◽  
Jane J. Yu ◽  
Wendy Y.J. Huang ◽  
Thomas L. McKenzie ◽  
Bik C. Chow ◽  
...  

2017 ◽  
Vol 49 (2) ◽  
pp. 292-297 ◽  
Author(s):  
CINDY H. P. SIT ◽  
THOMAS L. MCKENZIE ◽  
ESTER CERIN ◽  
BIK C. CHOW ◽  
WENDY Y. HUANG ◽  
...  

2015 ◽  
Vol 32 (2) ◽  
pp. 93-105 ◽  
Author(s):  
Mihye Jeong ◽  
So-Yeun Kim ◽  
Euikyung Lee

The purpose of this study was to examine validity and reliability evidence of a questionnaire regarding parents’ beliefs and intentions toward supporting physical activity (PA) participation of their children with disabilities (CWD). A total of 220 parents of CWD in South Korea completed a questionnaire that was developed using the theory of planned behavior (TPB). Exploratory factor analysis revealed that behavioral, control, and normative beliefs accounted for 31.13%, 20.45%, and 19.63% of the total variance of the intention, respectively. Reliability of entire scale was .85 using Cronbach’s alpha. Reliabilities of the 3 beliefs were .86, .82, and .87, respectively. Standard multiple-regression analysis indicated that behavioral and normative beliefs significantly predicted parents’ intention, p < .01. Intention was a significant predictor of parents’ behavior, p < .01. The results of this study indicated that the TPB can be useful to examine parental support for PA participation of their CWD.


2020 ◽  
Author(s):  
Sam Liu ◽  
Joy Weismiller ◽  
Karen Strange ◽  
Lisa Forster-Coull ◽  
Jennifer Bradbury ◽  
...  

Abstract Background The Mind, Exercise, Nutrition…Do it! (MEND) childhood obesity intervention was implemented in British Columbia (B.C.), Canada from April 2013 to June 2017. The study objective was: a) to describe and explore program reach, attendance, satisfaction, acceptability, fidelity, and facilitators and challenges to implementation during scale-up and implementation of MEND in B.C. while b) monitoring program effectiveness in improving children’s body mass index (BMI) z-score, waist circumference, dietary and physical activity behaviours, and psychological well-being.Methods This prospective, pragmatic implementation evaluation (Hybrid Type 3 design) recruited families with children aged 7-13 with a BMI ≥ 85th percentile for age and sex. The 10-week MEND B.C. program was delivered in 27 sites, throughout all five B.C. health regions (Northern, Interior, Island, Fraser, and Vancouver Coastal) over four years. A mixed-method approach was used to collect and analyze the data. Evaluation measures included: program reach, attendance, fidelity, acceptability, satisfaction, facilitators and challenges to implementation, and effectiveness (change in children’s BMI z-score, physical activity, screen-time, eating behaviours, self-esteem and emotional distress).Results 136 MEND B.C. programs were delivered over four years. The program reached 987 eligible children. 755 (76.5%) children completed the program. The average program attendance was 81.5%. Parents reported the program content was easy to understand, culturally suitable for their family, respectful of their family's financial situation and provided adequate information to build a healthy lifestyle. Children achieved significant positive changes across all four evaluation years in BMI z-score, nutrition behaviours, physical activity levels, hours of screen time per week and emotional distress (p<0.05). Challenges to continued program implementation included: recruitment, resource requirement for implementation and the need to tailor the program locally to be more flexible and culturally relevant.Conclusions Scaling up efficacious childhood obesity interventions into real-world settings is critical to combat the obesity epidemic. Future family-based childhood obesity management interventions need to explore strategies to enhance program delivery flexibility while optimizing the use of health care resources.


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