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Dive into the research topics where Katherine M. Atkinson is active.

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Featured researches published by Katherine M. Atkinson.


International Journal of Infectious Diseases | 2014

Three decades of MSM donor deferral policies. What have we learned

Kumanan Wilson; Katherine M. Atkinson; Jennifer Keelan

In the early 1980s, donor deferrals targeting men who have sex with men (MSM) and other high-risk groups were implemented in response to the outbreak of HIV/AIDS. It has now been three decades since the implementation of these deferrals. We review the international experience with developing these policies, which involves combining scientific evidence with ethical and moral concerns and the challenge of moving from precautionary to risk management policies as scientific knowledge and technology evolves. We provide key lessons that can guide blood policymakers as they confront potential new threats to the safety of the blood system and also provide lessons to the wider public health community on how best to incorporate precaution into the policymaking process.


Expert Review of Vaccines | 2014

Opportunities for utilizing new technologies to increase vaccine confidence

Kumanan Wilson; Katherine M. Atkinson; Shelley L. Deeks

The emergence of new digital technologies has ‘disrupted’ traditional vaccine information communication. This article reviews the impact of the Internet, social media, digital detection and mobile applications on both fueling anti-vaccine sentiment and providing a mechanism by which to address vaccine hesitancy. While the anti-vaccine community has leveraged the Internet and social media to bypass traditional sources of information and communicate with susceptible parents, digital surveillance and mobile apps offer an important opportunity for public health officials to develop new strategies to identify and address concerns in a real-time manner.


Vaccine | 2015

Development and release of a national immunization app for Canada (ImmunizeCA)

Kumanan Wilson; Katherine M. Atkinson; Greg Penney

Digital technology has created an opportunity to reenvision the traditional immunization paper record. We describe our experience developing a government endorsed mobile immunization record in Canada. The smartphone app, ImmunizeCA is designed to assist individuals in managing their own health information. It allows individuals to store their and their familys immunization records on their smartphone. The app, which is populated by data provided by the user, contains all 13 provincial and territorial schedules, immunization information and outbreak alerts on vaccine preventable diseases. Our experience suggests mobile apps can serve as a mechanism to empower users, increase participation in the process of immunization, potentially improve immunization rates and address jurisdictional obstacles. Key measures of success will include long term uptake, acceptability as an official record, enabling data flow permitting integration with immunization information systems and the ability to rapidly iterate to address changes to both immunization practice and mobile technology.


Human Vaccines & Immunotherapeutics | 2015

Vaccination attitudes and mobile readiness: A survey of expectant and new mothers

Katherine M. Atkinson; Robin Ducharme; Jacqueline Westeinde; Sarah E. Wilson; Shelley L. Deeks; Dante Pascali; Kumanan Wilson

Sub-optimal vaccination coverage and recent outbreaks of vaccine-preventable diseases serve as a reminder that vaccine hesitancy remains a concern. ImmunizeCA, a new smartphone app to help track immunizations, may address several reasons for not vaccinating. We conducted a study to describe demographic variables, attitudes, beliefs and information sources regarding pediatric vaccination in a sample of childbearing women who were willing to download an immunization app. We also sought to measure their current mobile usage behaviors and determine if there is an association between participant demographics, attitudes, beliefs and information sources regarding pediatric vaccination and mobile usage. We recruited participants using a combination of passive and active methods at a tertiary care hospital in Ottawa, Canada. We used surveys to collect demographic information, examine attitudes, behavior, and information sources regarding immunization and self-reported mobile phone usage. A total of 54 women participated. The majority had positive attitudes toward vaccination (96%) and intended to vaccinate their children (98%). Participants were interested in information on pediatric vaccination (94%), and found information from public health the most reliable and accessible (78%). Participants also trusted immunization information from their doctor or nurse and public health (83%) more than other sources. There was variability in participant use of mobile apps for other purposes. The median participant mobile readiness score was 3.2. We found no significant associations between participant age, behavior and attitudes regarding vaccination and mobile readiness scores. This is the first evaluation of mobile readiness for a smartphone app to track immunizations. Our findings suggest that there exists an opportunity to provide reliable information on vaccination through mobile devices to better inform the public, however predictors of individual engagement with these technologies merits further study.


Human Vaccines & Immunotherapeutics | 2016

An evaluation of the feasibility and usability of a proof of concept mobile app for adverse event reporting post influenza vaccination

Kumanan Wilson; Katherine M. Atkinson; Jacqueline Westeinde; Cameron Bell; Kim Marty; Dean Fergusson; Shelley L. Deeks; Natasha S. Crowcroft; Julie A. Bettinger

ABSTRACT The Canadian National Vaccine Safety network (CANVAS) gathers and analyzes safety data on individuals receiving the influenza vaccine during the early stages of annual influenza vaccination campaigns with data collected via participant surveys through the Internet. We sought to examine whether it was feasible to use a mobile application (app) to facilitate AEFI reporting for the CANVAS network. To explore this, we developed a novel smartphone app, recruited participants from a hospital influenza immunization clinic and by word of mouth and instructed them to download and utilize the app. The app reminded participants to complete the CANVAS AEFI surveillance surveys (“AEFI surveys”) on day 8 and 30, a survey capturing app usability metrics at day 30 (“usability survey”) and provided a mechanism to report AEFI events spontaneously throughout the whole study period. All survey results and spontaneous reports were recorded on a privacy compliant, cloud server. A software plug-in, Lookback, was used to record the on-screen experience of the app sessions. Of the 76 participants who consented to participate, 48(63%) successfully downloaded the app and created a profile. In total, 38 unique participants completed all of the required surveillance surveys; transmitting 1104 data points (survey question responses and spontaneous reports) from 83 completed surveys, including 21 usability surveys and one spontaneous report. In total, we received information on new or worsening health conditions after receiving the influenza vaccine from 11(28%) participants. Of the usability survey responses, 86% agreed or strongly agreed that they would prefer to use a mobile app based reporting system instead of a web-based system. The single spontaneous report received was from a participant who had also reported using the Day 8 survey. Of Lookback observable sessions, an accurate transmission proportion of 100% (n=290) was reported for data points. We demonstrated that a mobile app can be used for AEFI reporting, although download and survey completion proportions suggest potential barriers to adoption. Future studies should examine implementation of mobile reporting in a broader audience and impact on the quality of reporting of adverse events following immunization.


Journal of Telemedicine and Telecare | 2014

A mobile-phone immunization record in Ontario: uptake and opportunities for improving public health

Kumanan Wilson; Katherine M. Atkinson; Michael Pluscauskas; Cameron Bell

A free iPhone app was designed to help parents in Ontario track their children’s vaccination records. It was launched in the iTunes app store on 20 November 2012. There were 4867 downloads in the following 12 months. We observed that downloads of the app were correlated with media coverage. Usage of the app was measured by app opens and the time spent in the app per open: on average there were 53 opens per day and 126 seconds spent per open. Users expressed concerns about the privacy of health information and accessibility by people of lower socioeconomic status, who were less likely to be smartphone owners. A national version of the app is now being developed for multiple mobile phone types. There is potential to develop additional features such as mobile adverse event reporting, vaccine vial barcode scanning and integration with immunization registries. Immunization is an area in which a mobile solution is very useful.


Human Vaccines & Immunotherapeutics | 2017

Teaching children about immunization in a digital age

Kumanan Wilson; Katherine M. Atkinson; Natasha S. Crowcroft

ABSTRACT We believe that public health efforts to address issues of vaccine hesitancy should increase their focus on childhood education. An opportunity exists to create positive, accurate vaccine attitudes through fun and interactive approaches early in life. Leveraging digital technologies may provide a way to deliver these messages to children in a way that complements immune system and immunization education in school curricula. We recommend that public health officials explore and identify the most effective ways to deliver positive digital messages to children in hopes of “inoculating” the next generation against vaccine hesitancy.


Journal of Risk Research | 2017

Problems with precaution: the transfusion medicine experience

Kumanan Wilson; Katherine M. Atkinson; Dean Fergusson; Adalsteinn D. Brown; Alan J. Forster; Malia S.Q. Murphy; Alan Tinmouth; Jennifer Keelan

Abstract The precautionary principle is a dominant paradigm governing risk-based decision-making. Today, there are increasing pressures to re-examine aggressive precautionary approaches, and to assess how the principle should be applied in the modern system. In this paper, we examined three key applications of precautionary approaches in the field of transfusion medicine to provide insight into the risks and benefits of these approaches. The three case studies examined were the donor deferral policies to safeguard against transfusion transmission of human immunodeficiency virus, variant Creutzfeldt–Jacob disease, and, lastly, xenotropic murine leukemia virus-related virus. Characterization of precautionary applications was conducted using an embedded case study design. Our findings indicate that transfusion transmission mitigation strategies have become increasingly aggressive in the face of theoretical risks. In contrast, the review processes for implementation and reversal of precautionary policies have been slow, and historical donor deferral policies are still in place today. Application of precautionary approaches has proved challenging with both benefits and pitfalls. In light of emerging threats to the blood system, policy-makers should consider the implementation of frameworks to guide the appropriate application of precaution in transfusion medicine in the future.


Journal of Medical Systems | 2017

Modernizing Immunization Practice Through the Use of Cloud Based Platforms

Cameron Bell; Katherine M. Atkinson; Kumanan Wilson

Collection of timely and accurate immunization information is essential for effective immunization programs. Current immunization information systems have important limitations that impact the ability to collect this data. Based on our experience releasing a national immunization app we describe a cloud-based platform that would allow individuals to store their records digitally and exchange these records with public health information systems thus improving the quality of immunization information held by individuals and public health officials.


BMJ Open | 2017

Performance of a postnatal metabolic gestational age algorithm: a retrospective validation study among ethnic subgroups in Canada

Steven Hawken; Robin Ducharme; Malia S.Q. Murphy; Katherine M. Atkinson; Beth K. Potter; Pranesh Chakraborty; Kumanan Wilson

Objectives Biological modelling of routinely collected newborn screening data has emerged as a novel method for deriving postnatal gestational age estimates. Validation of published models has previously been limited to cohorts largely consisting of infants of white Caucasian ethnicity. In this study, we sought to determine the validity of a published gestational age estimation algorithm among recent immigrants to Canada, where maternal landed immigrant status was used as a surrogate measure of infant ethnicity. Design We conducted a retrospective validation study in infants born in Ontario between April 2009 and September 2011. Setting Provincial data from Ontario, Canada were obtained from the Institute for Clinical Evaluative Sciences. Participants The dataset included 230 034 infants born to non-landed immigrants and 70 098 infants born to immigrant mothers. The five most common countries of maternal origin were India (n=10 038), China (n=7468), Pakistan (n=5824), The Philippines (n=5441) and Vietnam (n=1408). Maternal country of origin was obtained from Citizenship and Immigration Canada’s Landed Immigrant Database. Primary and secondary outcome measures Performance of a postnatal gestational age algorithm was evaluated across non-immigrant and immigrant populations. Results Root mean squared error (RMSE) of 1.05 weeks was observed for infants born to non-immigrant mothers, whereas RMSE ranged from 0.98 to 1.15 weeks among infants born to immigrant mothers. Area under the receiver operating characteristic curve for distinguishing term versus preterm infants (≥37 vs <37 weeks gestational age or >34 vs ≤34 weeks gestational age) was 0.958 and 0.986, respectively, in the non-immigrant subgroup and ranged from 0.927 to 0.964 and 0.966 to 0.99 in the immigrant subgroups. Conclusions Algorithms for postnatal determination of gestational age may be further refined by development and validation of region or ethnicity-specific models. However, our results provide reassurance that an algorithm developed from Ontario-born infant cohorts performs well across a range of ethnicities and maternal countries of origin without modification.

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Kumanan Wilson

Ottawa Hospital Research Institute

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Cameron Bell

Ottawa Hospital Research Institute

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Malia S.Q. Murphy

Ottawa Hospital Research Institute

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Steven Hawken

Ottawa Hospital Research Institute

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Jacqueline Westeinde

Ottawa Hospital Research Institute

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Pranesh Chakraborty

Children's Hospital of Eastern Ontario

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Robin Ducharme

Ottawa Hospital Research Institute

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