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OBJECTIVE To identify cases of spinal cord injury or disease (SCI/D) in an Ontario database of primary care electronic medical records (EMR). DESIGN A reference standard of cases of chronic SCI/D was established via manual review of EMRs; this reference standard was used to evaluate potential case identification algorithms for use in the same database. SETTING Electronic Medical Records Primary Care (EMRPC) Database, Ontario, Canada. PARTICIPANTS A sample of 48,000 adult patients was randomly selected from 213,887 eligible patients in the EMRPC database. INTERVENTIONS N/A. MAIN OUTCOME MEASURE(S) Candidate algorithms were evaluated using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F-score. RESULTS 126 cases of chronic SCI/D were identified, forming the reference standard. Of these, 57 were cases of traumatic spinal cord injury (TSCI), and 67 were cases of non-traumatic spinal cord injury (NTSCI). The optimal case identification algorithm used free-text keyword searches and a physician billing code, and had 70.6% sensitivity (61.9-78.4), 98.5% specificity (97.3-99.3), 89.9% PPV (82.2-95.0), 94.7% NPV (92.8-96.3), and an F-score of 79.1. CONCLUSIONS Identifying cases of chronic SCI/D from a database of primary care EMRs using free-text entries is feasible, relying on a comprehensive case definition. Identifying a cohort of patients with SCI/D will allow for future study of the epidemiology and health service utilization of these patients.

Background: Testing is a foundational component of any COVID-19 management strategy; however, emerging evidence suggests that barriers and hesitancy to COVID-19 testing may affect uptake or participation and often these are multiple and intersecting factors that may vary across population groups. To this end, Health Canada’s COVID-19 Testing and Screening Expert Advisory Panel commissioned this rapid review in January 2021 to explore the available evidence in this area. The aim of this rapid review was to identify barriers to COVID-19 testing and strategies used to mitigate these barriers. Methods: Searches (completed January 8 2021) were conducted in MEDLINE, Scopus, medRxiv/bioRxiv, Cochrane and online grey literature sources to identify publications that described barriers and strategies related to COVID-19 testing. Results: From 1294 academic and 97 grey literature search results, 31 academic and 31 grey literature sources were included. Data were extracted from the relevant papers. The most commonly cited barriers were: cost of testing; low health literacy; low trust in the healthcare system; availability and accessibility of testing sites; and stigma and consequences of testing positive. Strategies to mitigate barriers to COVID-19 testing included: free testing; promoting awareness of importance to testing; presenting various testing options and types of testing centres (i.e., drive-thru, walk-up, home testing); providing transportation to testing centres; and offering support for self-isolation (e.g., salary support or housing). Conclusion: Various barriers to COVID-19 testing and strategies for mitigating these barriers were identified. Further research to test the efficacy of these strategies is needed to better support testing for COVID-19 by addressing testing hesitancy as part of the broader COVID-19 public health response

BACKGROUND Simple visualizations in health research data, such as scatter plots, heat maps, and bar charts, typically present relationships between 2 variables. Interactive visualization methods allow for multiple related facets such as numerous risk factors to be studied simultaneously, leading to data insights through exploring trends and patterns from complex big health care data. The technique presents a powerful tool that can be used in combination with statistical analysis for knowledge discovery, hypothesis generation and testing, and decision support. OBJECTIVE The primary objective of this scoping review is to describe and summarize the evidence of interactive visualization applications, methods, and tools being used in population health and health services research (HSR) and their subdomains in the last 15 years, from January 1, 2005, to March 30, 2019. Our secondary objective is to describe the use cases, metrics, frameworks used, settings, target audience, goals, and co-design of applications. METHODS We adapted standard scoping review guidelines with a peer-reviewed search strategy: 2 independent researchers at each stage of screening and abstraction, with a third independent researcher to arbitrate conflicts and validate findings. A comprehensive abstraction platform was built to capture the data from diverse bodies of literature, primarily from the computer science and health care sectors. After screening 11,310 articles, we present findings from 56 applications from interrelated areas of population health and HSR, as well as their subdomains such as epidemiologic surveillance, health resource planning, access, and use and costs among diverse clinical and demographic populations. RESULTS In this companion review to our earlier systematic synthesis of the literature on visual analytics applications, we present findings in 6 major themes of interactive visualization applications developed for 8 major problem categories. We found a wide application of interactive visualization methods, the major ones being epidemiologic surveillance for infectious disease, resource planning, health service monitoring and quality, and studying medication use patterns. The data sources included mostly secondary administrative and electronic medical record data. In addition, at least two-thirds of the applications involved participatory co-design approaches while introducing a distinct category, embedded research, within co-design initiatives. These applications were in response to an identified need for data-driven insights into knowledge generation and decision support. We further discuss the opportunities stemming from the use of interactive visualization methods in studying global health; inequities, including social determinants of health; and other related areas. We also allude to the challenges in the uptake of these methods. CONCLUSIONS Visualization in health has strong historical roots, with an upward trend in the use of these methods in population health and HSR. Such applications are being fast used by academic and health care agencies for knowledge discovery, hypotheses generation, and decision support. INTERNATIONAL REGISTERED REPORT RR2-10.2196/14019

Summary This study sought to understand patient experiences, benefits, and challenges to osteoporosis care delivered virtually by telemedicine. Telemedicine bridges the access gap to specialized osteoporosis care in remote areas. Improving coordination of investigations, access to allied health members, and future initiatives may improve osteoporosis-related morbidity and mortality in this population. Introduction There is limited research on the role of telemedicine (TM) in the management of osteoporosis (OP). We previously reported that OP patients assessed by TM had a higher prevalence of fragility fractures, co-morbidities, and need for allied health resources than those serviced by the outpatient clinic. The purpose of this study is to understand the experiences, benefits, and challenges associated with receiving OP care by TM from the patient perspective. Methods We adopted a convergent, mixed methods study design whereby both a quantitative component (mailed survey) and qualitative component (30-min telephone interviews) were conducted simultaneously. In addition to reporting survey data, thematic analysis was applied to interview data. Results Participants were comfortable with virtual technology and perceived that their quality of care by TM was comparable to in-person visits. Expressed benefits included the convenience of timely care close to home, reduced burden of travel and costs, and enhanced sense of confidence with being assessed by an osteoporosis specialist. Perceived barriers included poor follow-up with allied health professionals in the TM program (e.g., physiotherapist) and coordination of tests and investigations. Many participants indicated interest in an OP self-management program, with content focusing on diet and lifestyle factors. Conclusion The TM program bridges the access gap for those living with OP in underserviced and remote areas. However, we identified the need to improve the existing processes to better coordinate access to allied health team members and arrangements for investigations. Participants also expressed interest for a virtual osteoporosis self-management program. Electronic supplementary material The online version of this article (10.1007/s00198-019-05182-5) contains supplementary material, which is available to authorized users.

Background Visual analytics (VA) promotes the understanding of data using visual, interactive techniques and using analytic and visual engines. The analytic engine includes machine learning and other automated techniques, whereas common visual outputs include flow maps and spatiotemporal hotspots for studying service gaps and disease distribution. The principal objective of this scoping review is to examine the state of science on VA and the various tools, strategies, and frameworks used in population health and health services research (HSR). Objective The purpose of this scoping review is to develop an overarching global view of established techniques, frameworks, and methods of VA in population health and HSR. The main objectives are to explore, map, and synthesize the literature related to VA in its application to the two main focus areas of health care. Methods We will use established scoping review methods to meet the study objective. As the use of the term visual analytics is inconsistent, one of the major challenges was operationalizing the concepts for developing the search strategy, based on the three main concepts of population health, HSR, and VA. We included peer reviewed and grey literature sources from 2005 till March 2019 in the search. Independent teams of researchers will screen the titles, abstracts and full text articles, whereas an independent researcher will arbiter conflicts. Data will be abstracted and presented using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews checklist and explanation by two independent researchers. Results As of late August 2019, the scoping review is in the full-text screening stage. Data synthesis will follow and the first results are expected to be submitted for publication in December 2019. In this protocol, the methods for undertaking this scoping review are detailed. We present how we operationalized the varied concepts of population health, health services, and VA. The main results of the scoping review will synthesize peer reviewed and grey literature sources on the main methods of VA in the interrelated fields of population health and health services research from January 2005 till March 2019. Conclusions VA is being increasingly used and integrated with emerging technologies to support decision making using large data sets. This scoping review of the VA tools, strategies, and frameworks applied to population health and health services aims to increase awareness of this approach for uptake by decision makers working within and toward developing learning health systems globally. International Registered Report Identifier (IRRID) DERR1-10.2196/14019

Commonalities abound varied health challenges confronting Pakistan and India. Some of these warrant joint collaborative solutions. This study presents existing health collaborations by mapping out active connections between the countries, through a literature review and clinical and public health professionals' interviews. It reveals that a diversity of practices exist beyond the usual notions of 'collaboration' usually depicted in the literature. Outcomes from such initiatives included enhanced learning and exchanges of information and research across various communities and contexts. In various adoptions of the term, contextualisation within and between countries and amongst particular communities is cited as important. Travel and mobility restriction emerged as one key issue that hampers and discourages collaborations. Key lessons conveyed by the participants included an enabling environment, missing on both sides of the border. Opportunities and recommendations are presented to address the obstacles that discourage cross-border dialogue and to enhance collaborations between the two countries.