Characterizing and Comparing Adverse Drug Events Documented in 2 Spontaneous Reporting Systems in the Lower Mainland of British Columbia, Canada: Retrospective Observational Study.

BACKGROUND: Robust adverse drug event (ADE) reporting systems are crucial to monitor and identify drug safety signals, but the quantity and type of ADEs captured may vary by system characteristics. OBJECTIVE: We compared ADEs reported in 2 different reporting systems in the same jurisdictions, the Patient Safety and Learning System-Adverse Drug Reaction (PSLS-ADR) and ActionADE, to understand report variation. METHODS: This retrospective observational study analyzed reports entered into PSLS-ADR and ActionADE systems between December 1, 2019, and December 31, 2022. We conducted a comprehensive analysis including all events from both reporting systems to examine coverage and usage and understand the types of events captured in both systems. We calculated descriptive statistics for reporting facility type, patient demographics, serious events, and most reported drugs. We conducted a subanalysis focused on adverse drug reactions to enable direct comparisons between systems in terms of the volume and events reported. We stratified results by reporting system. RESULTS: We performed the comprehensive analysis on 3248 ADE reports, of which 12.4% (375/3035) were reported in PSLS-ADR and 87.6% (2660/3035) were reported in ActionADE. Distribution of all events and serious events varied slightly between the 2 systems. Iohexol, gadobutrol, and empagliflozin were the most common culprit drugs (173/375, 46.2%) in PSLS-ADR, while hydrochlorothiazide, apixaban, and ramipril (308/2660, 11.6%) were common in ActionADE. We included 2728 reports in the subanalysis of adverse drug reactions, of which 12.9% (353/2728) were reported in PSLS-ADR and 86.4% (2357/2728) were reported in ActionADE. ActionADE captured 4- to 6-fold more comparable events than PSLS-ADR over this study's period. CONCLUSIONS: User-friendly and robust reporting systems are vital for pharmacovigilance and patient safety. This study highlights substantial differences in ADE data that were generated by different reporting systems. Understanding system factors that lead to varying reporting patterns can enhance ADE monitoring and should be taken into account when evaluating drug safety signals.

Sharing Adverse Drug Event Reports Between Hospitals and Community Pharmacists to Inform Re-dispensing: An Analysis of Reports and Process Outcomes.

INTRODUCTION: Adverse drug events (ADEs) are a leading cause of unplanned hospital visits. We designed ActionADE, an online ADE reporting platform, and integrated it with PharmaNet, British Columbia's (BC's) provincial medication dispensing system, to overcome identified barriers in ADE reporting and communicate ADEs to community pharmacies. Our objectives were to characterise ADEs reported in ActionADE, explore associations between patients' age, sex and ADE characteristics, and estimate the re-dispensation rate of culprit medications in community pharmacies. METHODS: We conducted a prospective observational study of ADE reporting in four BC hospitals between April 1, 2020 and October 31, 2022. We described the characteristics of ADEs reported into ActionADE, used logistic regression modelling to examine associations between age and sex and ADE characteristics, and calculated rates of avoided culprit drug re-dispensations using community pharmacists' responses to ActionADE alerts. RESULTS: In total, 3591 ADE reports were initiated by hospital clinicians, 3174 of which were included in this analysis. Serious or life-threatening ADEs resulting in permanent disability, hospitalisation, extended hospitalisation, and/or death accounted for 28.5% (906/3174; 95% CI 27.0-30.1%) of reports. Males were more likely to have non-adherence reported compared to females and experienced life threatening ADEs at a younger age than females. Of 592 patients who had ≥ 1 adverse drug reaction or allergy report (a subset of ADEs) transmitted to community pharmacies, 200 subsequently attempted to re-fill the culprit or a same class drug. Community pharmacists responded to preventative alerts by avoiding re-dispensation in 33.0% (66/200; 95% CI 26.5-39.5%). INTERPRETATION: ActionADE is the first interoperable system that communicates ADEs via a central medication database to community pharmacies. Every 10th ADE reported in ActionADE and shared to PharmaNet resulted in community pharmacists' avoiding one culprit or same class drug re-exposure. Further research is needed to understand ActionADE's impact on patient and health system outcomes.

Factors associated with physical activity policy and practice implementation in British Columbia's childcare settings: a longitudinal study.

BACKGROUND: In 2016-17, the government of British Columbia (BC) enacted a mandatory policy outlining Active Play Standards (AP Standards) alongside a capacity building initiative (Appetite to Play) focused on implementing policies and practices to support physical activity in childcare centres. We aimed to identify factors at the provider and organizational levels as well as attributes of the Standards hypothesized to influence implementation (i.e., changes in policies and practices). METHODS: We conducted surveys before (2016-2017) and after (2018-2019) enforcement of the AP Standards among 146 group childcare centres across BC. The 2018-19 surveys measured theoretically based constructs associated with implementation of policies and practices (9 childcare- and 8 provider- level characteristics as well as 4 attributes of the licensing standards). Characteristics that were associated in simple regression models were entered in multivariable regression models to identify factors associated with policy and practice changes related to fundamental movement skills (FMS), screen time, total amount of active play (AP) and total amount of outdoor AP from baseline to follow-up. RESULTS: In multivariable analyses, higher staff capacity (OR = 2.1, 95% 1.2, 3.7) and perceived flexibility of the standards (OR: 3.3, 95% 1.5, 7.1) were associated with higher odds of a policy change related to FMS. Higher staff commitment to the AP standards was associated with a higher odds of policy changes related to screen time (OR = 1.6, 95% CI: 1.1, 2.4) and amount of AP (OR: 1.5, 95% 1.0, 2.3). Higher institutionalization of PA policies was associated with a higher odds of policy changes related to the amount of AP (OR: 5.4, 95% CI: 1.5, 20). Higher self-efficacy was associated with a higher odds of policy changes related to outdoor AP (OR = 2.9, 95% 1.1, 7.8). Appetite to Play training was a positively associated with practice changes related to FMS (ß = 0.5, 95% CI: 0.1, 0.9). CONCLUSIONS: A hierarchy of theoretically defined factors influenced childcare providers' implementation of the AP Standards in BC. Future research should test the feasibility of modifying these factors to improve the implementation of PA policy and practice interventions in this setting.

An external facilitation intervention to increase uptake of an adverse drug event reporting intervention.

Background: Adverse drug events (ADEs) are a leading cause of emergency department visits and hospital admissions in Canada. ActionADE prevents repeat ADEs by enabling clinicians to document and communicate standardized ADE information across care settings. We used an external facilitation intervention to promote the uptake of ActionADE in four hospitals in British Columbia, Canada. This study examined whether, how and in what context external facilitation influenced the uptake of ActionADE. Methods: In this convergent-parallel mixed-methods study, an external facilitator used a four-step iterative process to support site champions using context-specific implementation strategies to increase the ADE reporting rate at their sites. We extracted archival data to assess implementation determinants before and after the implementation of the external facilitation and implementation strategies. We also retrieved data on the mean monthly counts of reported ADEs for each user from the ActionADE server. Zero-inflated Poisson models were used to examine changes in mean monthly counts of reported ADEs per user between pre-intervention (June 2021 to October 2021) and intervention (November 2021 to March 2022) periods. Results: The external facilitator and site champions co-created three functions: (1) educate pharmacists about what and how to report in ActionADE, (2) educate pharmacists about the impact of ActionADE on patient outcomes, and (3) provide social support for pharmacists to integrate ADE reporting into clinical workflows. Site champions used eight forms to address the three functions. Peer support and reporting competition were the two common strategies used by all sites. Sites' responses to external facilitation varied. The rate of mean monthly counts of reported ADEs per user significantly increased during the intervention period compared to the pre-intervention period at LGH (RR: 3.74, 95% CI 2.78 to 5.01) and RH (RR: 1.43, 95% CI 1.23 to 1.94), but did not change at SPH (RR: 0.68, 95% CI: 0.43 to 1.09) and VGH (RR: 1.17, 95% CI 0.92 to 1.49). Leave of absence of the clinical pharmacist champion and failure to address all identified functions were implementation determinants that influenced the effectiveness of external facilitation. Conclusion: External facilitation effectively supported researchers and stakeholders to co-create context-specific implementation strategies. It increased ADE reporting at sites where clinical pharmacist champions were available, and where all functions were addressed.

Social Prescribing Outcomes for Trials (SPOT): Protocol for a modified Delphi study on core outcomes.

PURPOSE: This is a study protocol to co-create with knowledge users a core outcome set focused on middle-aged and older adults (40 years+) for use in social prescribing research. METHODS: We will follow the Core Outcome Measures in Effectiveness Trials (COMET) guide and use modified Delphi methods, including collating outcomes reported in social prescribing publications, online surveys, and discussion with our team to finalize the core outcome set. We intentionally center this work on people who deliver and receive social prescribing and include methods to evaluate collaboration. Our three-part process includes: (1) identifying published systematic reviews on social prescribing for adults to extract reported outcomes; and (2) up to three rounds of online surveys to rate the importance of outcomes for social prescribing. For this part, we will invite people (n = 240) who represent the population experienced in social prescribing, including researchers, members of social prescribing organizations, and people who receive social prescribing and their caregivers. Finally, we will (3) convene a virtual team meeting to discuss and rank the findings and finalize the core outcome set and our knowledge mobilization plan. CONCLUSION: To our knowledge, this is the first study designed to use a modified Delphi method to co-create core outcomes for social prescribing. Development of a core outcome set contributes to improved knowledge synthesis via consistency in measures and terminology. We aim to develop guidance for future research, and specifically on the use of core outcomes for social prescribing at the person/patient, provider, program, and societal-level.

Research recruitment and consent methods in a pandemic: a qualitative study of COVID-19 patients' perspectives.

BACKGROUND: Virtual data collection methods and consent procedures adopted in response to the COVID-19 pandemic enabled continued research activities, but also introduced concerns about equity, inclusivity, representation, and privacy. Recent studies have explored these issues from institutional and researcher perspectives, but there is a need to explore patient perspectives and preferences. This study aims to explore COVID-19 patients' perspectives about research recruitment and consent for research studies about COVID-19. METHODS: We conducted an exploratory qualitative focus group and interview study among British Columbian adults who self-identified as having had COVID-19. We recruited participants through personal contacts, social media, and REACH BC, an online platform that connects researchers and patients in British Columbia. We analyzed transcripts inductively and developed thematic summaries of each coding element. RESULTS: Of the 22 individuals recruited, 16 attended a focus group or interview. We found that autonomy and the feasibility of participation, attitudes toward research about COVID-19, and privacy concerns are key factors that influence participants' willingness to participate in research. We also found that participants preferred remote and virtual approaches for contact, consent, and delivery of research on COVID-19. CONCLUSIONS: Individuals who had COVID-19 are motivated to participate in research studies and value autonomy in their decision to participate, but researchers must be sensitive and considerate toward patient preferences and concerns, particularly as researchers adopt virtual recruitment and data collection methods. Such awareness may increase research participation and engagement.

Due to the COVID-19 pandemic, many research groups started conducting research activities virtually. In this study, we invited individuals who had COVID-19 to share their views about how researchers recruit patients and get their consent to participate in studies about COVID-19. Through interviews and focus groups, we found that British Columbians who had COVID-19 are motivated to participate in COVID-related studies, as long as researchers maintain usual precautions around data privacy and accommodate preferences for participation. Future studies may use these patient perspectives to make informed decisions that will increase and support patient recruitment, consent and retention in research studies.

Long-term usage of a commercial mHealth app: A "multiple-lives" perspective.

Background: Emerging evidence suggests that individuals use mHealth apps in multiple disjointed ways in the real-world-individuals, for example, may engage, take breaks, and re-engage with these apps. To our knowledge, very few studies have adopted this 'multiple-live' perspective to analyze long-term usage of a physical activity (PA) app. This study aimed to examine the duration of use, as well as the frequency, length, and timing of streaks (uninterrupted periods of use) and breaks (uninterrupted periods of non-use) within a popular commercial PA app called Carrot Rewards over 12 months. We also examined sociodemographic correlates of usage. Method: This retrospective observational study analyzed data from 41,207 Carrot Rewards users participating in the "Steps" walking program from June/July 2016 to June/July 2017. We measured four usage indicators: duration of use, frequency and length of streaks and breaks, time to first break, and time to resume second streak. We also extracted information regarding participants' age, gender, province, and proxy indicators of socioeconomic status derived from census data. We used descriptive statistics to summarize usage patterns, Kaplan-Meier curves to illustrate the time to first break and time to resume second streak. We used linear regressions and Cox Proportional Hazard regression models to examine sociodemographic correlates of usage. Results: Over 60% of the participants used Carrot Rewards for ≥6 months and 29% used it for 12 months (mean = 32.59 ± 18.435 weeks). The frequency of streaks and breaks ranged from 1 to 9 (mean = 1.61 ± 1.04 times). The mean streak and break length were 20.22 ± 18.26 and 16.14 ± 15.74 weeks, respectively. The median time to first break was 18 weeks across gender groups and provinces; the median time for participants to resume the second streak was between 12 and 32 weeks. Being female, older, and living in a community with greater post-secondary education levels were associated with increased usage. Conclusion: This study provides empirical evidence that long-term mHealth app usage is possible. In this context, it was common for users to take breaks and re-engage with Carrot Rewards. When designing and evaluating PA apps, therefore, interventionists should consider the 'multiple-lives' perspective described here, as well as the impact of gender and age.

An Evaluation of a Commercialized mHealth Intervention to Promote Physical Activity in the Workplace.

Background: UPnGO with ParticipACTION (UPnGO) was a commercialized 12-month workplace physical activity intervention, aimed at encouraging employees to sit less and move more at work. Its design took advantage of the ubiquitous nature of mobile fitness trackers and aimed to be implemented in any office-based workplace in Canada. The program was available at cost from June 2017 to April 2020. The objectives of this study are to evaluate the program and identify key lessons from the commercialization of UPnGO. Methods: Using a quasi-experimental design over 3 time points: baseline, 6 months, 12 months, five evaluation indicators were measured as guided by the RE-AIM framework. Reach was defined as the number and percentage of employees who registered for UPnGO and the number and percentage of sedentary participants registered. Effectiveness was assessed through average daily step count. Adoption was determined by workplace champion and senior leadership responses to the off-platform survey. Implementation was assessed as the percentage of participants who engaged with specific program elements at the 3-evaluation time points. Maintenance was assessed by the number of companies who renewed their contracts for UPnGO. Results: Reach across 17 organizations, 1980 employees participated in UPnGO, with 27% of participants identified as sedentary at baseline. Effectiveness Daily step count declined from 7,116 ± 3,558 steps at baseline to 6,969 ± 6,702 (p = <0.001) at 12 months. Adoption Workplace champion and senior leadership engagement declined from 189 to 21 and 106 to 5 from baseline to 12 months, respectively. Maintenance Two companies renewed their contracts beyond the first year. Conclusions: The commercialization of UPnGO was an ambitious initiative that met with limited success; however, some key lessons can be generated from the attempt. The workplace remains an important environment for PA interventions but effective mHealth PA programs may be difficult to implement and sustain long-term.

Does an active play standard change childcare physical activity and healthy eating policies? A natural policy experiment.

BACKGROUND: In 2017, the provincial government of British Columbia (BC) implemented a mandatory policy outlining Active Play Standards (AP Standards) to increase physical activity (PA) levels, sedentary and motor skills among children attending licensed childcare centers. Concurrently, a capacity-building initiative was launched to help implement policies and practices supporting both PA and healthy eating (HE) in the early years. This study evaluated differences in center-level PA and HE policies and practices before and after the enforcement of the new provincial AP Standards. METHODS: Using a repeat cross-sectional design, surveys were distributed to managers and staff of licensed childcare facilities serving children aged 2-5 years before (2016-2017 or 'time 1') and after (2018-2019 or 'time 2') implementation of the AP Standards across BC. The total sample included 1,459 respondents (910 and 549 respondents at time 1 and time 2, respectively). Hierarchical mixed effects models were used to examine differences in 9 and 7 PA/sedentary policies and practices, respectively, as well as 11 HE policies between time 1 and time 2. Models controlled for childcare size and area-level population size, education, and income. RESULTS: Compared to centers surveyed at time 1, centers at time 2 were more likely to report written policies related to: fundamental movement skills, total amount of Active Play (AP) time, staff-led AP, unfacilitated play/free play, total amount of outdoor AP time, limiting screen time, breaking up prolonged sitting, staff role modeling of PA, and training staff about PA (P < 0.01 for all 9 policies examined). Compared to time 1, centers at time 2 reported more frequent practices related to ensuring children engaged in at least 120 min of AP, 60 min of outdoor AP daily, and limiting screen time (P < 0.01 for 3 out of 7 practices examined). Despite no additional policy intervention related to HE, centers were more likely to report having written policies related to: HE education for children, encouraging new foods, having family-style meals, offering only milk or water, limiting the amount of juice served, staff role modeling of HE, limiting the types of foods at parties/celebrations and foods brought from home (P < 0.05 for 9 out of 11 HE policies). CONCLUSION: Approximately a year after the implementation of a governmental policy targeting PA supported by a capacity-building initiative, childcare centers reported positive changes in all 9 PA/sedentary policies examined, all 3 out of 7 PA/sedentary practices and 9 out of 11 HE policies evaluated at the center-level.

Commercial app use linked with sustained physical activity in two Canadian provinces: a 12-month quasi-experimental study.

BACKGROUND: Top tier commercial physical activity apps rarely undergo peer-reviewed evaluation. Even fewer are assessed beyond six months, the theoretical threshold for behaviour maintenance. The purpose of this study was to examine whether a multi-component commercial app rewarding users with digital incentives for walking was associated with an increase in physical activity over one year. METHODS: This 12-month quasi-experimental study was conducted in two Canadian provinces (n = 39,113 participants). Following a two-week baseline period, participants earned digital incentives ($0.04 CAD/day) every day they reached a personalized daily step goal. Mixed-effects models estimated changes in weekly mean daily step count between the baseline period and the last two recorded weeks. Models were fit for several engagement groups and separately by baseline physical activity status within engagement groups. RESULTS: Nearly half of participants (43%) were categorized as physically inactive at baseline (fewer than 5000 daily steps), and 60% engaged with the app for at least six months ['Regular' (24-51 weeks of step data) or 'Committed' sub-groups (52 weeks)]. Weekly mean daily step count increased for physically inactive users regardless of engagement status (P < .0001). The increase was largest for 'Regular' and 'Committed' participants-1215 and 1821 steps/day, respectively. For physically active participants, step count increases were only observed in the 'Committed' sub-group (P < .0001). Effect sizes were modest-to-medium depending on the sub-group analyzed. CONCLUSIONS: A commercial app providing small but immediate digital incentives for individualized goals was associated with an increased weekly mean daily step count on a population-scale over one year. This effect was more evident for physically inactive and more engaged participants.

Child Care Setting and Its Association With Policies and Practices That Promote Physical Activity and Physical Literacy in the Early Years in British Columbia.

BACKGROUND: Physical activity (PA) is critical to early child development, and child care is a key setting for promotion. The authors investigated differences in daily PA and sedentary behavior practices as well as physical environments between family child care (FCC) and group child care (GCC) settings for children aged 3-5 years in Canada. METHODS: Group child care (n = 581) and FCC (n = 357) managers completed surveys assessing the implementation of PA promoting practices and description of their environments. Crosstabulation and chi-square tests of association were used to examine differences between GCC and FCC. RESULTS: The prevalence of facilities implementing 120 minutes of active play (odds ratio [OR] 2.23; 95% confidence interval [CI], 1.58-3.15), <30 minutes on screens (OR 1.35; 95% CI, 1.02-1.80), and 60-minute outdoors daily (OR 1.99; 95% CI, 1.4-2.9) was more likely in FCC compared with GCC. However, implementation of fundamental movement skill activities (OR 1.40; 95% CI, 1.01-1.92), breaking up prolonged sitting (OR 1.86; 95% CI, 1.36-2.5), and outdoor space for large group running games (OR 1.74; 95% CI, 1.07-2.83) were more likely in GCC. CONCLUSIONS: Child care setting was associated with daily PA and sedentary practices and outdoor space for PA. Interventions to support PA in child care should be tailored to different settings and the facilitators explored.

Prevalence and Relationships among Physical Activity Policy, Environment, and Practices in Licensed Childcare Centers from a Manager and Staff Perspective.

Physical activity (PA) is critical to early childhood health and development, and childcare is a key setting for establishing physically active play. In British Columbia (BC), a provincial standard for active play in childcare was enacted, identified here as the Active Play (AP) standard. Pragmatic constraints limit real-world data collection for evaluating policy impact. We explored whether information about policies, practices, and the environment varied when it was collected from managers or staff. Surveys were distributed to BC childcare centers before AP standard enactment to ascertain current PA and fundamental movement skill policies and practices. The full sample (n = 1037 from 625 facilities) and a subsample of paired managers and staff (n = 261 centers) were used to explore agreement across managers and staff in reported prevalence and relationships among indicators. The policy prevalence and relationships for active play and outdoor play variables were relatively similar for manager and staff data, although the matched data had modest agreement and less than optimal intraclass correlations. The prevalence of manager-reported PA policies ranged from 47% for screen-time limits to 77% for fundamental movement skill activities. The manager and staff data highlighted indoor and outdoor space as a primary factor in AP standard adherence. With reliance on sampling staff unfeasible, it appears that the manager data may adequately describe the policies and practices of childcare providers with some notable issues.

Getting Ready for Scale-Up of an Effective Older Adult Physical Activity Program: Characterizing the Adaptation Process.

To optimize public health impact, health interventions must be delivered widely to reach the population in need. Yet, few interventions are ever implemented at broad scale (scaled-up). Thus it is necessary to devise implementation strategies that support scale-up of effective interventions. Adapting an intervention and implementation strategies to the local context to improve "fit" at scale-up is critical to success. Therefore, our study responds to a call to build a database of systematic adaptations of evidence-based interventions across populations and contexts, including scaled-up designs. To do so, we focus on the process of adapting an effective physical activity program for older adults, called Choose to Move (CTM), for scale-up. Our objectives were to describe the systematic process of adapting CTM for scale-up across British Columbia (BC) and to report the actual changes made to CTM. We adopted a 6-step process: (1) identify stakeholders; (2) conduct needs assessment; (3) develop prototype of adaptations; (4) validate prototype with stakeholders; (5) create adapted program; and (6) pilot test adaptations. For the adaptation process, we described each step and organized data within an adaptation coding system. Results showed that adaptations to CTM span program content, program context, and the training modules. For example, to address the request by CTM participants for more opportunities to socially connect with others, we added more group meetings, reduced phone check-ins, and integrated aspects of training related to social cohesion. Our study extends the current literature by providing researchers a clear pathway toward adapting health promotion interventions for scale-up.

Factors that influence implementation at scale of a community-based health promotion intervention for older adults.

BACKGROUND: Despite the many known benefits of physical activity (PA), relatively few older adults are active on a regular basis. Older adult PA interventions delivered in controlled settings showed promising results. However, to achieve population level health impact, programs must be effectively scaled-up, and few interventions have achieved this. To effectively scale-up it is essential to identify contextual factors that facilitate or impede implementation at scale. Our aim is to describe factors that influence implementation at scale of a health promotion intervention for older adults (Choose to Move). This implementation evaluation complements our previously published study that assessed the impact of Choose to Move on older adult health indicators. METHODS: To describe factors that influenced implementation our evaluation targeted five distinct levels across a socioecological continuum. Four members of our project team conducted semi-structured interviews by telephone with 1) leaders of delivery partner organizations (n = 13) 2) recreation managers (n = 6), recreation coordinators (n = 27), activity coaches (n = 36) and participants (n = 42) [August 2015 - April 2017]. Interviews were audio-recorded and professionally transcribed and data were analyzed using framework analysis. RESULTS: Partners agreed on the timeliness and need for scaled-up evidence-based health promotion programs for older adults. Choose to Move aligned with organizational priorities, visions and strategic directions and was deemed easy to deliver, flexible and adaptable. Partners also noted the critical role played by our project team as the support unit. However, partners noted availability of financial resources as a potential barrier to sustainability. CONCLUSIONS: Even relatively simple evidence-based interventions can be challenging to scale-up and sustain. To ensure successful implementation it is essential to align with multilevel socioecological perspectives and assess the vast array of contextual factors that are at the core of better understanding successful implementation.

Implementation and scale-up of physical activity and behavioural nutrition interventions: an evaluation roadmap.

BACKGROUND: Interventions that work must be effectively delivered at scale to achieve population level benefits. Researchers must choose among a vast array of implementation frameworks (> 60) that guide design and evaluation of implementation and scale-up processes. Therefore, we sought to recommend conceptual frameworks that can be used to design, inform, and evaluate implementation of physical activity (PA) and nutrition interventions at different stages of the program life cycle. We also sought to recommend a minimum data set of implementation outcome and determinant variables (indicators) as well as measures and tools deemed most relevant for PA and nutrition researchers. METHODS: We adopted a five-round modified Delphi methodology. For rounds 1, 2, and 3 we administered online surveys to PA and nutrition implementation scientists to generate a rank order list of most commonly used; i) implementation and scale-up frameworks, ii) implementation indicators, and iii) implementation and scale-up measures and tools. Measures and tools were excluded after round 2 as input from participants was very limited. For rounds 4 and 5, we conducted two in-person meetings with an expert group to create a shortlist of implementation and scale-up frameworks, identify a minimum data set of indicators and to discuss application and relevance of frameworks and indicators to the field of PA and nutrition. RESULTS: The two most commonly referenced implementation frameworks were the Framework for Effective Implementation and the Consolidated Framework for Implementation Research. We provide the 25 most highly ranked implementation indicators reported by those who participated in rounds 1-3 of the survey. From these, the expert group created a recommended minimum data set of implementation determinants (n = 10) and implementation outcomes (n = 5) and reconciled differences in commonly used terms and definitions. CONCLUSIONS: Researchers are confronted with myriad options when conducting implementation and scale-up evaluations. Thus, we identified and prioritized a list of frameworks and a minimum data set of indicators that have potential to improve the quality and consistency of evaluating implementation and scale-up of PA and nutrition interventions. Advancing our science is predicated upon increased efforts to develop a common 'language' and adaptable measures and tools.

Realizing the Benefits of Managing Health Appointments via Mobile Application: Start of the Journey.

The Hospital Authority of Hong Kong ("HA") launched an interactive mobile application "BookHA" intending to use innovative technology to support healthcare delivery. "BookHA" provides an 'easy and convenient' alternative for patients to book specialist clinics along with the current methods - in-person or via fascmile. Patients, clinical staff, and the corporates benefit from this initiative as evidenced by the utilization figures, and the findings from patients surveys and staff surveys.

Protective or risky? The longitudinal association of team sports participation and health-related behaviours in Canadian adolescent girls.

OBJECTIVES: Female sport participation is a prioritized action area in the 2018 Canadian federal budget for improving health and well-being. This study examined team sport participation prevalence and longitudinal associations with health-related behaviours among Canadian adolescent girls. METHODS: We analyzed data from the COMPASS study. Participants included 1978 female secondary-school students who self-reported the following information at all measurement time-points (grades 9, 10, 11, and 12): socio-demographic, team sport participation status (consistent, intermittent and non-participator), moderate-to-vigorous physical activity (MVPA), dietary behaviours, smoking, cannabis use and binge drinking. Linear mixed models and generalized estimating equation models were used to examine team sport participation status in association with changes in health-related behaviours across grades. RESULTS: The prevalence of team sport participation declined by an average of 38.4% between grades 9 and 12. Proportions of participants being categorized as consistent, intermittent and non-participators were 25.7%, 36.4% and 37.9%, respectively. Compared to non-participators, consistent participators reported significantly greater decline in MVPA (ß = - 2.77, 95% CI - 5.36, - 0.18), and the increase in odds of becoming more frequent cannabis users (OR 1.11, 95% CI 1.00, 1.26) and binge drinkers (OR 1.13, 95% CI 1.04, 1.23) was significantly greater. Girls' team sport participation had no significant longitudinal association with dietary behaviours and smoking status. CONCLUSION: Team sport participation outside of school settings is risky for prospective health-related behaviours in adolescent girls. Our findings highlight the need for investing in tailored participation initiatives that also consider how to prevent harmful substance use.

Examining the use of loyalty point incentives to encourage health and fitness centre participation.

A unique financial incentive intervention was conducted in Canada, where YMCA members were offered loyalty points (Air Miles Reward Miles) to encourage visits to YMCA Health and Fitness Centres. The purpose of this evaluation study was to determine if YMCA members would participate in a loyalty point incentive program and if the weekly YMCA visit rates differed between Air Miles collectors and non-collectors. YMCA swipe data were collected from 2012 to 2016, including 12 months pre-program (baseline data), 36 months during the intervention period, and 3 months post-program. The final analyses, conducted in 2017, included 459,146 participants from 13 YMCA locations. Quasi-Poisson regression models were used to compare the weekly visit rates between Air Miles collectors and non-collectors. Of the 459,146 participants, 6.4% (n = 29,449) registered their Air Miles card with their YMCA membership (Air Miles collectors). Average weekly visit rates over the entire study period were significantly higher (1.37 to 3.84 times) among the Air Miles collector group than those in the non-collector group, but there was no evidence that incentives were associated with increased YMCA visits when adjusting for the pre-program period. This research demonstrated that incentives are a practical and acceptable public health strategy in Canada. More research is needed into how to harness the reach of loyalty point providers such as Air Miles, and how incentive-based programs should be optimally designed and delivered (e.g., type, timing, and magnitude of incentive).

The Intervention Effect of SMS Delivery on Chinese Adolescent's Physical Activity.

To examine the effects of short messaging service (SMS) frequency and timing on the efficacy of an SMS-intervention for Hong Kong Chinese adolescents, sixty nine students aged between 12 and 16 (mean age 13.75 ± 0.90) were recruited from five schools in Hong Kong. Participants were randomly assigned into one of five groups: high-frequency + self-selected timing (HST), low-frequency + self-selected timing (LST), high-frequency + assigned timing (HAT), low-frequency + assigned timing (LAT) and the control group. The total duration of the intervention was four weeks. No significant intervention effects were detected in adolescent's PA among the five groups (F = 1.14, p = 0.346). No significant differences were observed in the stage movement among the five groups (χ² = 6.18, p = 0.627). No significant differences appeared in the exercise benefits, barriers and benefits/barriers differential scores. However, a growth trend in the exercise benefits score in the LST and HAT groups was found in contrast to the downswing in the control group. The exercise barriers score in the HST group showed the largest reduction after intervention. The benefits/barriers differential score in all the intervention groups increased, whereas it decreased in the control group. Although an increase is demonstrated in the high dosage SMS frequency and timing, no significant intervention effects were found among the five groups in PA behavior, stage of change and exercise benefits and barriers among Hong Kong Chinese adolescents.