One size doesn't fit all: methodological reflections in conducting community-based behavioural science research to tailor COVID-19 vaccination initiatives for public health priority populations.

BACKGROUND: Promoting the uptake of vaccination for infectious diseases such as COVID-19 remains a global challenge, necessitating collaborative efforts between public health units (PHUs) and communities. Applied behavioural science can play a crucial role in supporting PHUs' response by providing insights into human behaviour and informing tailored strategies to enhance vaccination uptake. Community engagement can help broaden the reach of behavioural science research by involving a more diverse range of populations and ensuring that strategies better represent the needs of specific communities. We developed and applied an approach to conducting community-based behavioural science research with ethnically and socioeconomically diverse populations to guide PHUs in tailoring their strategies to promote COVID-19 vaccination. This paper presents the community engagement methodology and the lessons learned in applying the methodology. METHODS: The community engagement methodology was developed based on integrated knowledge translation (iKT) and community-based participatory research (CBPR) principles. The study involved collaboration with PHUs and local communities in Ontario, Canada to identify priority groups for COVID-19 vaccination, understand factors influencing vaccine uptake and co-design strategies tailored to each community to promote vaccination. Community engagement was conducted across three large urban regions with individuals from Eastern European communities, African, Black, and Caribbean communities and low socioeconomic neighbourhoods. RESULTS: We developed and applied a seven-step methodology for conducting community-based behavioural science research: (1) aligning goals with system-level partners; (2) engaging with PHUs to understand priorities; (3) understanding community strengths and dynamics; (4) building relationships with each community; (5) establishing partnerships (community advisory groups); (6) involving community members in the research process; and (7) feeding back and interpreting research findings. Research partnerships were successfully established with members of prioritized communities, enabling recruitment of participants for theory-informed behavioural science interviews, interpretation of findings, and co-design of targeted recommendations for each PHU to improve COVID-19 vaccination uptake. Lessons learned include the importance of cultural sensitivity and awareness of sociopolitical context in tailoring community engagement, being agile to address the diverse and evolving priorities of PHUs, and building trust to achieve effective community engagement. CONCLUSION: Effective community engagement in behavioural science research can lead to more inclusive and representative research. The community engagement approach developed and applied in this study acknowledges the diversity of communities, recognizes the central role of PHUs, and can help in addressing complex public health challenges.

Increase in Gonorrhea Incidence Associated With Enhanced Partner Notification Strategy.

OBJECTIVES: Partner notification services for reportable sexually transmitted infections vary based on jurisdiction, resources, type of infection, and whether an outbreak has been reported. The objective of this study was to determine whether case finding increased after implementation of enhanced notification and follow-up activities for contacts of cases of Neisseria gonorrhoeae in Central Zone, the largest health authority in Nova Scotia, Canada. METHODS: Enhanced contact tracing by public health professionals was implemented in May 2015. N. gonorrhoeae multiantigen sequence typing (NG-MAST) was conducted on all positive specimens. Epidemiologic and NG-MAST information for reported gonorrhea cases were captured and analyzed. Case numbers, rates, and NG-MAST results in the preintervention and postintervention periods were compared. Laboratory testing data were extracted and analyzed for association with reported incidence. RESULTS: There was a significant increase in the number of reported gonorrhea cases per month when comparing the preintervention and postintervention periods. The reported gonorrhea rate in 2016 was 2.9 times that in 2014. This increase was not associated with changes in testing rates and was more pronounced among women than men. Larger groups of cases sharing the same NG-MAST profiles were detected postintervention. CONCLUSIONS: The implementation of an enhanced contact tracing program for N. gonorrhoeae resulted in increased case finding and a notable increase in the reported rate of cases per 100,000 population. Owing to these findings, the practice of enhanced partner notification was continued as standard public health practice in Central Zone. An understanding of case finding efforts is required when interpreting observed trends in rates of N. gonorrhoeae, as early infection is highly asymptomatic in women and can be asymptomatic in men.

Municipal transportation policy as a population health intervention: estimating the impact of the City of Ottawa Transportation Master Plan on diabetes incidence.

INTERVENTION: Physical inactivity is an important behavioral risk factor for chronic disease in Canada. Individual-level strategies are used in clinical medicine to target individuals for preventive intervention based on one or more risk factors. In contrast, this study examines the impact of a population-level intervention: a municipal policy outside the healthcare sector that influences the built and social environment. RESEARCH QUESTION: What is the preventive effect of a municipal transportation policy to increase active transportation on a chronic disease outcome measure-diabetes incidence-when it is viewed as a population-level health intervention to increase physical activity? METHODS: The impact of increases in active transportation for regular commuting to work in the city of Ottawa, Ontario was modeled to estimate number of diabetes cases prevented over 10 years. As a health-sector comparison, the reduction in incidence was equated to an individual-level approach to prevention targeting those who are inactive, meant to represent a clinical preventive intervention. RESULTS: The population-level policy shift could prevent as many as 1620 incident cases of diabetes over 10 years, the largest number prevented by increases in public transit use. This population effect was equal to 17,300 inactive individuals or 12,300 inactive individuals > 45 years old undertaking a clinical preventive intervention to increase physical activity. CONCLUSION: The results demonstrate why public health matters today as population-level interventions that exist as policies outside the healthcare sector, supported by public health, may have an unrecognized and therefore underappreciated impact on population health.

Simulation modeling to enhance population health intervention research for chronic disease prevention.

Population Health Intervention Research (PHIR) is an expanding field that explores the health effects of population-level interventions conducted within and outside of the health sector. Simulation modeling-the use of mathematical models to predict health outcomes in populations given a set of specified inputs-is a useful, yet underutilized tool for PHIR. It can be employed at several phases of the research process: (1) planning and designing PHIR studies; (2) implementation; and (3) knowledge translation of findings across settings and populations. Using the example of community-wide, built environment interventions for the prevention of type 2 diabetes, we demonstrate how simulation models can be a powerful technique for chronic disease prevention research within PHIR. With increasingly available data on chronic disease risk factors and outcomes, the use of simulation modeling in PHIR for chronic disease prevention is anticipated to grow. There is a continued need to ensure models are appropriately validated and researchers should be cautious in their interpretation of model outputs given the uncertainties that are inherent with simulation modeling approaches. However, given the complexity of disease pathways and methodological challenges of PHIR studies, simulation models can be a valuable tool for researchers studying population interventions that hold the potential to improve health and reduce health inequities.

A systematic review and appraisal of the quality of practice guidelines for the management of Neisseria gonorrhoeae infections.

BACKGROUND: Clinical guidelines help ensure consistent care informed by current evidence. As shifts in antimicrobial resistance continue to influence first-line treatment, up-to-date guidelines are important for preventing treatment failure. A guideline's development process will influence its recommendations and users' trust. OBJECTIVE: To assess the quality of current gonorrhoea guidelines' development processes. DATA SOURCES: Multiple databases. STUDY ELIGIBILITY CRITERIA: Original and current English-language guidelines targeting health professionals and containing treatment recommendations for uncomplicated gonorrhoea in the general adult population. STUDY APPRAISAL AND SYNTHESIS METHODS: Two appraisers assessed the guidelines independently using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool. Scores were combined as per the AGREE II users' manual. RESULTS: We identified 10 guidelines meeting the inclusion criteria. The quality of the gonorrhoea treatment guidelines varied. Most scored poorly on Rigour of Development; information on the evidence review process and methods for formulating recommendations was often missing. The WHO Guidelines for the Treatment of Neisseria gonorrhoeae and UK National Guideline for the Management of Gonorrhoea in Adults scored the highest on Rigour of Development. Methods to address conflicts of interest were often not described in the materials reviewed. Implementation of recommendations was often not addressed. LIMITATIONS: By limiting our study to English-language guidelines, a small number of guidelines we identified were excluded. Our analysis was limited to either published or online materials that were readily available to users. We could not differentiate between items addressed in the development process but not documented from items that were not addressed. CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: Gonorrhoea treatment guidelines may slow antimicrobial resistance. Many current guidelines are not in line with the current guideline development best practices; this might undermine the perceived trustworthiness of guidelines. By identifying current limitations, this study can help improve the quality of future guidelines.

How do emergency physicians make discharge decisions?

BACKGROUND: One of the most important decisions that emergency department (ED) physicians make is patient disposition (admission vs discharge). OBJECTIVES: To determine how ED physicians perceive their discharge decisions for high-acuity patients and the impact on adverse events (adverse outcomes associated with healthcare management). METHODS: We conducted a real-time survey of staff ED physicians discharging consecutive patients from high-acuity areas of a tertiary care ED. We asked open-ended questions about rationale for discharge decisions and use of clinical judgement versus evidence. We searched for 30-day flagged outcomes (deaths, unscheduled admissions, ED or clinic visits). Three trained blinded ED physicians independently reviewed these for adverse events and preventability. We resolved disagreements by consensus. We used descriptive statistics and 95% CIs. RESULTS: We interviewed 88.9% (32/36) of possible ED physicians for 366 discharge decisions. Respondents were mostly male (71.9%) and experienced (53.1% >10 years). ED physicians stated they used clinical judgement in 87.6% of decisions and evidence in 12.4%. There were 69 flagged outcomes (18.8%) and 10 adverse events (2.7%, 95% CI 1.1 to 4.5%). All adverse events were preventable (1 death, 4 admissions, 5 return ED visits). No significant associations occurred between decision-making rationale and adverse events. CONCLUSIONS: Experienced ED physicians most often relied on clinical acumen rather than evidence-based guidelines when discharging patients from ED high-acuity areas. Neither approach was associated with adverse events. In order to improve the safety of discharge decisions, further research should focus on decision support solutions and feedback interventions.