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Mueller, Mark, Sharma, Minakshi, Maus, Jeff, Ran, Taiqi, Sabaliauskas, Kelly, Xu, Jielan, Yang, Sabrena, Young, Michael, Toronto Public Health Web Services, Team, Sharma, Minakshi, Cheyne, Jill, Cheyne, Jill, Corallo, Ashley, Bianco, Tracey Dal, Dearing-Vollett, Julia, Liddy, Ann, Pacht, Chloe, Ran, Taiqi, Seto, Marisa, Toronto Public Health Web Services, Team, Young, Michael, Faulkner, Amy, Sharma, Minakshi, Aulicino, Maria, Pach, Beata, McArthur, Allison, Kapetanos, Domna, Skinner, Hannah, Harker, Lindsay, Massarella, Susan, Osborne, Zack, Myers, Michael, Kishibe, Teruko, Thorne, Lydia, Bartlett, Joan C.; Bowen-Ziecheck, Aaron, Tsatas, Sofie, Boruff, Jill T.; Rod, Alisa B.; Bradley-Ridout, Glyneva, Nekolaichuk, Erica, Springall, Elena, Mierzwinski-Urban, Monika, Kaunelis, David, Ford, Caitlyn, Phinney, Jackie, Parker, Robin, Walter, Melissa, Horton, Jennifer, Hodgson, Amanda, Phinney, Jackie, Rothfus, Melissa, Helwig, Melissa, Hancock, Kristy, Pepper, Catherine, Halling, T. Derek, Epworth, Alissa, Nault, Caleb, Paladines, Melissa, Reansbury, Micheal, Serban, Raluca, Kennedy, Megan, Kung, Janice, Serban, Raluca, Nault, Caleb, Anderson, Melanie, Parker, Robin, Tippett, Marisa, Goodman, Maren, Stanley, Meagan, Isard, Roxanne, Sich, Christy, Horoky, Denise, Marson, Alanna, O’Reily, Shannon, Demaine, Jeffrey, Taylor, Mike, Truax, Morgan, Ross-White, Amanda, Wilson, Rosemary, Beck, Charlotte, Fischer, Meredith, Fournier, Karine, Sikora, Lindsey, Martyniuk, Julia, Iro, Chidiebere Michael, Bartlett, Joan C.; Hagerman, Leah, Clark, Emily, Neil-Sztramko, Sarah, Colangeli, Taylor, Dobbins, Maureen, George, Chloe, Leonard, Ashley Jane, Blanchard, Jeanette, Miller, Alanna, Read, Kristin, Husson, Heather, Dobbins, Maureen, Cunningham, Heather, Slaght, Graeme, Wall, Margaret, Premji, Zahra, Hayden, K. Alix, Amar-Zifkin, Alexandre, Quaiattini, Andrea, Winther, Connie, Hamonic, Laura, Dennett, Liz, Campbell, Sandy, Winther, Connie, Campbell, Sandy, Tocock, Adam, Gorring, Helene, Campbell, Alanna, Thormodson, Kelly, Cisney, Lori, Hoover, Benjamin, Kennedy, Megan, Thompson, Janice, Paladines, Melissa, Mann, Anna, Creaser, Julie, Bradley-Ridout, Glyneva, Mitchell, Mikaela, Wu, Jiewen, Nevison, Maggie, Zhang, Xiaoqian, Bartlett, Joan, Winther, Connie, Zvyagintseva, Lydia, Kung, Janice, Zych, Maria Maddalena, Malik, Usman, Boden, Catherine, Horton, Jennifer.
The journal of the Canadian Health Libraries Association ; 43(2):68-91, 2022.
Article in English | EuropePMC | ID: covidwho-1989839

ABSTRACT

This workshop will provide health science librarians and information professionals at any level/context with an overview of the best practices in finding and identifying the best scientific evidence during novel public health emergencies. Attendees will be presented with an overview of a best practices statement developed by the Librarian Reserve Corps. Attendees will then apply the recommendations from the best practices statement in designing a plan to respond to real-life case study/information request during a public health emergency. A discussion period will follow on how to apply the best practices in other contexts, environments, and cultures. Attendees will also be invited to share their own experiences and best practices during the discussion session. Through hands-on learning and discussion, librarians and information professionals at any level/context will develop strategies to find and critically appraise the best evidence in any novel public health emergency situation. Introduction: To inform the design of a consumer health strategy for a provincial health library system, the library sought to understand patient challenges and barriers in accessing quality sources of health information. Description: Over a period of three months in the winter of 2020-2021, the library engaged in semi-structured interviews with relevant clinical and corporate stakeholders. Program leads were asked about their role in consumer health information provision and support, and where they saw gaps and opportunities within the organization. Answers were themed and analyzed, and an internal report was produced to guide next steps in developing a consumer health strategy. Outcomes: The environmental scan showed that there are clear challenges and barriers for patients in accessing quality health information. Barriers include the duration of interaction with a healthcare practitioner;the specificity of patient information needs;and the organizational emphasis on a single enterprise-wide patient information resource. More significant challenges include language;lack of health information literacy skills;and low digital literacy among certain populations. Discussion: The environmental scan results provided strong rationale for developing a cohesive consumer health strategy for the library. They highlighted valuable but disjointed resources and programs throughout the organization. A Consumer Health Framework was drafted to guide the library in setting achievable goals and leveraging existing supports. Due to the Covid-19 pandemic it was not possible to engage directly with patients for the initial scan, however consultation with patient advisory groups is now being planned to check and validate the library’s direction.

2.
Health Promot Chronic Dis Prev Can ; 42(5): 177-187, 2022 05 11.
Article in English, French | MEDLINE | ID: covidwho-1934889

ABSTRACT

INTRODUCTION: Household food insecurity (HFI) is a persistent public health issue in Canada that may have disproportionately affected certain subgroups of the population during the COVID-19 pandemic. The purpose of this systematic review is to report on the prevalence of HFI in the Canadian general population and in subpopulations after the declaration of the COVID-19 pandemic in March 2020. METHODS: Sixteen databases were searched from 1 March 2020 to 5 May 2021. Abstract and full-text screening was conducted by one reviewer and the inclusions verified by a second reviewer. Only studies that reported on the prevalence of HFI in Canadian households were included. Data extraction, risk of bias and certainty of the evidence assessments were conducted by two reviewers. RESULTS: Of 8986 studies identified in the search, four studies, three of which collected data in April and May 2020, were included. The evidence concerning the prevalence of HFI during the COVID-19 pandemic is very uncertain. The prevalence of HFI (marginal to severe) ranged from 14% to 17% in the general population. Working-age populations aged 18 to 44 years had higher HFI (range: 18%-23%) than adults aged 60+ years (5%-11%). Some of the highest HFI prevalence was observed among households with children (range: 19%-22%), those who had lost their jobs or stopped working due to COVID-19 (24%-39%) and those with job insecurity (26%). CONCLUSION: The evidence suggests that the COVID-19 pandemic may have slightly increased total household food insecurity in Canada during the COVID-19 pandemic, especially in populations that were already vulnerable to HFI. There is a need to continue to monitor HFI in Canada.


Subject(s)
COVID-19 , Adult , COVID-19/epidemiology , Canada/epidemiology , Child , Food Insecurity , Food Supply , Humans , Pandemics , Prevalence
3.
BMC Public Health ; 22(1): 1244, 2022 06 23.
Article in English | MEDLINE | ID: covidwho-1902375

ABSTRACT

BACKGROUND: During the COVID-19 pandemic, the public health workforce has experienced re-deployment from core functions such as health promotion, disease prevention, and health protection, to preventing and tracking the spread of COVID-19. With continued pandemic deployment coupled with the exacerbation of existing health disparities due to the pandemic, public health systems need to re-start the delivery of core public health programming alongside COVID-19 activities. The purpose of this scoping review was to identify strategies that support the re-integration of core public health programming alongside ongoing pandemic or emergency response. METHODS: The Joanna Briggs Institute methodology for scoping reviews was used to guide this study. A comprehensive search was conducted using: a) online databases, b) grey literature, c) content experts to identify additional references, and d) searching reference lists of pertinent studies. All references were screened by two team members. References were included that met the following criteria: a) involved public health organizations (local, regional, national, and international); b) provided descriptions of strategies to support adaptation or delivery of routine public health measures alongside disaster response; and c) quantitative, qualitative, or descriptive designs. No restrictions were placed on language, publication status, publication date, or outcomes. Data on study characteristics, intervention/strategy, and key findings were independently extracted by two team members. Emergent themes were established through independent inductive analysis by two team members. RESULTS: Of 44,087 records identified, 17 studies were included in the review. Study designs of included studies varied: descriptive (n = 8); qualitative (n = 4); mixed-methods (n = 2); cross-sectional (n = 1); case report (n = 1); single-group pretest/post-test design (n = 1). Included studies were from North America (n = 10), Africa (n = 4), and Asia (n = 3) and addressed various public health disasters including natural disasters (n = 9), infectious disease epidemics (n = 5), armed conflict (n = 2) and hazardous material disasters (n = 1). Five emergent themes were identified on strategies to support the re-integration of core public health services: a) community engagement, b) community assessment, c) collaborative partnerships and coordination, d) workforce capacity development and allocation, and e) funding/resource enhancement. CONCLUSION: Emergent themes from this study can be used by public health organizations as a beginning understanding of strategies that can support the re-introduction of essential public health services and programs in COVID-19 recovery.


Subject(s)
COVID-19 , Disasters , Cross-Sectional Studies , Humans , Pandemics/prevention & control , Public Health
4.
J Adv Nurs ; 78(8): 2646-2655, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1868664

ABSTRACT

AIM: The purpose of this study is to: (a) describe public health nursing roles over the course of the COVID-19 pandemic in Ontario, Canada; (b) describe the contextual factors that influence public health nursing role implementation; and (c) describe nurses' perceived impact of their roles on client outcomes and professional/personal nursing practice. DESIGN: Descriptive multiple case study. METHODS: Recruitment of public health nurses (PHNs), working in direct service or administrative leadership positions, in an Ontario public health unit will be conducted through purposive and snowball sampling. Nursing roles will be compared and contrasted across three cases differentiated by geographic setting: urban, urban-rural, northern. In each geographic case, a priori estimates of sample size will include 10 PHNs providing direct care and at least five nurses in an administrative leadership role; with an overall estimated study sample size of 45 individuals. Demographic data will be collected using an online anonymous survey. Individual semi-structured interviews with PHNs, and focus groups with nursing administrators will be conducted via telephone and audio-recorded. Individual interviews and focus groups will be transcribed verbatim. Reflexive thematic analysis will be used to generate emergent themes in each case and cross-case synthesis will be used to compare and contrast patterns across geographic cases. DISCUSSION: Expected findings will provide an in-depth analysis of the rapidly evolving roles and functions of PHNs throughout the COVID-19 pandemic and their impact on individuals, families and communities. As well, findings will provide a new understanding about the contextual barriers and facilitators of PHN role implementation in their working environments. IMPACT: Study findings can support decision-making in relation to funding, resource allocation and supportive work structures and processes at a public health system and/or individual public health organization level.


Subject(s)
COVID-19 , Nurse Administrators , COVID-19/epidemiology , Humans , Ontario/epidemiology , Pandemics , Public Health Nursing
5.
BMC Med Res Methodol ; 21(1): 231, 2021 10 27.
Article in English | MEDLINE | ID: covidwho-1486552

ABSTRACT

BACKGROUND: The COVID-19 public health crisis has produced an immense and quickly evolving body of evidence. This research speed and volume, along with variability in quality, could overwhelm public health decision-makers striving to make timely decisions based on the best available evidence. In response to this challenge, the National Collaborating Centre for Methods and Tools developed a Rapid Evidence Service, building on internationally accepted rapid review methodologies, to address priority COVID-19 public health questions. RESULTS: Each week, the Rapid Evidence Service team receives requests from public health decision-makers, prioritizes questions received, and frames the prioritized topics into searchable questions. We develop and conduct a comprehensive search strategy and critically appraise all relevant evidence using validated tools. We synthesize the findings into a final report that includes key messages, with a rating of the certainty of the evidence using GRADE, as well as an overview of evidence and remaining knowledge gaps. Rapid reviews are typically completed and disseminated within two weeks. From May 2020 to July 21, 2021, we have answered more than 31 distinct questions and completed 32 updates as new evidence emerged. Reviews receive an average of 213 downloads per week, with some reaching over 7700. To date reviews have been accessed and cited around the world, and a more fulsome evaluation of impact on decision-making is planned. CONCLUSIONS: The development, evolution, and lessons learned from our process, presented here, provides a real-world example of how review-level evidence can be made available - rapidly and rigorously, and in response to decision-makers' needs - during an unprecedented public health crisis.


Subject(s)
COVID-19 , Humans , Public Health , SARS-CoV-2
6.
JMIR Public Health Surveill ; 7(9): e26503, 2021 09 07.
Article in English | MEDLINE | ID: covidwho-1443942

ABSTRACT

BACKGROUND: True evidence-informed decision-making in public health relies on incorporating evidence from a number of sources in addition to traditional scientific evidence. Lack of access to these types of data as well as ease of use and interpretability of scientific evidence contribute to limited uptake of evidence-informed decision-making in practice. An electronic evidence system that includes multiple sources of evidence and potentially novel computational processing approaches or artificial intelligence holds promise as a solution to overcoming barriers to evidence-informed decision-making in public health. OBJECTIVE: This study aims to understand the needs and preferences for an electronic evidence system among public health professionals in Canada. METHODS: An invitation to participate in an anonymous web-based survey was distributed via listservs of 2 Canadian public health organizations in February 2019. Eligible participants were English- or French-speaking individuals currently working in public health. The survey contained both multiple-choice and open-ended questions about the needs and preferences relevant to an electronic evidence system. Quantitative responses were analyzed to explore differences by public health role. Inductive and deductive analysis methods were used to code and interpret the qualitative data. Ethics review was not required by the host institution. RESULTS: Respondents (N=371) were heterogeneous, spanning organizations, positions, and areas of practice within public health. Nearly all (364/371, 98.1%) respondents indicated that an electronic evidence system would support their work. Respondents had high preferences for local contextual data, research and intervention evidence, and information about human and financial resources. Qualitative analyses identified several concerns, needs, and suggestions for the development of such a system. Concerns ranged from the personal use of such a system to the ability of their organization to use such a system. Recognized needs spanned the different sources of evidence, including local context, research and intervention evidence, and resources and tools. Additional suggestions were identified to improve system usability. CONCLUSIONS: Canadian public health professionals have positive perceptions toward an electronic evidence system that would bring together evidence from the local context, scientific research, and resources. Elements were also identified to increase the usability of an electronic evidence system.


Subject(s)
Artificial Intelligence , Public Health , Canada , Cross-Sectional Studies , Electronics , Humans
7.
Chronic Diseases and Injuries in Canada ; 41(5), 2021.
Article in French | ProQuest Central | ID: covidwho-1405599

ABSTRACT

Depuis décembre 2019, on assiste à une explosion mondiale de la recherche sur la COVID-19. Au Canada, les six Centres de collaboration nationale (CCN) en santé publique constituent l’un des piliers de la prise de décisions informées par les données probantes, car ils recueillent, résument et traduisent les connaissances émergentes. Financés par l’Agence de la santé publique du Canada et répartis sur le territoire, ils favorisent et soutiennent l’utilisation des résultats de la recherche scientifique et d’autres connaissances pour renforcer les pratiques, les programmes et les politiques en santé publique. Cet article fournit un aperçu de la manière dont les CCN participent à la mobilisation des connaissances en santé publique au Canada, met en évidence leur contribution à la lutte contre la COVID-19 et décrit les nombreuses difficultés rencontrées.

8.
Can Commun Dis Rep ; 47(56): 292-296, 2021 Jun 09.
Article in English | MEDLINE | ID: covidwho-1296247

ABSTRACT

The National Collaborating Centre for Methods and Tools (NCCMT) is part of a network of six National Collaborating Centres for Public Health (NCC) created in 2005 by the federal government following the severe acute respiratory syndrome (SARS) epidemic to strengthen public health infrastructure in Canada. The work of the NCCMT, to support evidence-informed decision-making (EIDM) in public health in Canada, is accomplished by curating trustworthy evidence, building competence to use evidence and accelerating change in EIDM. Ongoing engagement with its target audiences ensures NCCMT's relevance and ability to respond to evolving public health needs. This has been particularly critical during the coronavirus disease 2019 (COVID-19) pandemic, which saw NCCMT pivot its activities to support the public health response by conducting rapid reviews on priority questions identified by decision-makers from federal to local levels as well as create and maintain a national repository of in-progress or completed syntheses. These efforts, along with partnering with the COVID-19 Evidence Network to support Decision-Making (COVID-END), sought to reduce duplication, increase coordination of synthesis efforts and support decision-makers to use the best available evidence in decision-making. Data from website statistics illustrate the successful uptake of these initiatives across Canada and internationally.

9.
Health Promot Chronic Dis Prev Can ; 41(5): 165-170, 2021 05 12.
Article in English, French | MEDLINE | ID: covidwho-1089306

ABSTRACT

Since December 2019, there has been a global explosion of research on COVID-19. In Canada, the six National Collaborating Centres (NCCs) for Public Health form one of the central pillars supporting evidence-informed decision making by gathering, synthesizing and translating emerging findings. Funded by the Public Health Agency of Canada and located across Canada, the six NCCs promote and support the use of scientific research and other knowledges to strengthen public health practice, programs and policies. This paper offers an overview of the NCCs as an example of public health knowledge mobilization in Canada and showcases the NCCs' contribution to the COVID-19 response while reflecting on the numerous challenges encountered.


The explosion of research on COVID-19 in Canada and around the world called for an improved capacity to support evidence-informed decision making (EIDM). Canada is fostering various mechanisms to achieve this goal; the National Collaborating Centres (NCCs) for Public Health are central to supporting EIDM during the pandemic. The NCCs, a network of networks anchored on six unique knowledge hubs, are well connected to provincial, territorial, local and international partners. In response to COVID-19, the NCCs are making an important contribution to building knowledge, skills and capacity in the public health sector, and to supporting public health professionals in synthesizing and using evidence-informed knowledge in policy and practice.


L'explosion de la recherche menée sur la COVID-19 au Canada et ailleurs dans le monde a nécessité une augmentation de la capacité à soutenir la prise de décisions informées par les données probantes. Parmi les divers mécanismes préconisés par le Canada pour atteindre cet objectif, les Centres de collaboration nationale (CCN) en santé publique jouent un rôle essentiel pendant la pandémie pour soutenir la prise de décisions informées par les données probantes. Les CCN, qui constituent un réseau de réseaux s'appuyant sur six centres de connaissances, ont des liens étroits avec plusieurs partenaires provinciaux, territoriaux, locaux et internationaux. Pour lutter contre la COVID-19, les CCN renforcent de façon significative les connaissances, les compétences et les capacités en santé publique et soutiennent les professionnels en santé publique en synthétisant des connaissances fondées sur des données probantes pour leur intégration aux politiques et aux pratiques.


Subject(s)
COVID-19/prevention & control , Communicable Disease Control/organization & administration , Intersectoral Collaboration , Public Health Administration , COVID-19/epidemiology , COVID-19/transmission , Canada , Humans
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