BackgroundElectronic medical records (EMRs) used in primary care contain a breadth of data that can be used in public health research. Patient data from EMRs could be linked with other data sources, such as a postal code linkage with Census data, to obtain additional information on environmental determinants of health. While promising, successful linkages between primary care EMRs with geographic measures is limited due to ethics review board concerns. This study tested the feasibility of extracting full postal code from primary care EMRs and linking this with area-level measures of the environment to demonstrate how such a linkage could be used to examine the determinants of disease. The association between obesity and area-level deprivation was used as an example to illustrate inequalities of obesity in adults.MethodsThe analysis included EMRs of 7153 patients aged 20 years and older who visited a single, primary care site in 2011. Extracted patient information included demographics (date of birth, sex, postal code) and weight status (height, weight). Information extraction and management procedures were designed to mitigate the risk of individual re-identification when extracting full postal code from source EMRs. Based on patients’ postal codes, area-based deprivation indexes were created using the smallest area unit used in Canadian censuses. Descriptive statistics and socioeconomic disparity summary measures of linked census and adult patients were calculated.ResultsThe data extraction of full postal code met technological requirements for rendering health information extracted from local EMRs into anonymized data. The prevalence of obesity was 31.6 %. There was variation of obesity between deprivation quintiles; adults in the most deprived areas were 35 % more likely to be obese compared with adults in the least deprived areas (Chi-Square = 20.24(1), p < 0.0001). Maps depicting spatial representation of regional deprivation and obesity were created to highlight high risk areas.ConclusionsAn area based socio-economic measure was linked with EMR-derived objective measures of height and weight to show a positive association between area-level deprivation and obesity. The linked dataset demonstrates a promising model for assessing health disparities and ecological factors associated with the development of chronic diseases with far reaching implications for informing public health and primary health care interventions and services.
Private water supplies, which are the primary source of drinking water for rural communities in developed countries, are at risk of becoming fecally contaminated. It is important to identify the source of contamination in order to better understand and address this human health risk. Microbial source tracking methods using human, bovine and general Bacteroidales markers were performed on 716 well water samples from southeastern Ontario, which had previously tested positive for Escherichia coli. The results were then geospatially analyzed in order to elucidate contamination patterns. Markers for human feces were found in nearly half (49%) of all samples tested, and a statistically significant spatial cluster was observed. A quarter of the samples tested positive for only general Bacteroidales markers (25.7%) and relatively few bovine specific marker positives (12.6%) were found. These findings are fundamental to the understanding of pathogen dynamics and risk in the context of drinking well water and will inform future research regarding host-specific pathogens in private well water samples.
Objective: Emergency department (ED) overcrowding in Canada is an ongoing problem resulting in prolonged wait times, service declines, increased patient suffering, and adverse patient outcomes. We explored the relationship between socioeconomic status (SES) and ED use in Canada's universal health care system to improve our understanding of the nature of ED users to both improve health care to the most deprived populations and reduce ED patient input. Methods: This retrospective study took information from the National Ambulatory Care Reporting System (NACRS) database for all ED visits in Ontario between April 1, 2003, and March 31, 2010. As there is no direct measure of SES available from ED visit records, a proxy measure of SES was used, namely a deprivation index (DI) developed from material and social factors from the 2006 Canadian census using the patient's residential neighbourhood. DI scores were assigned to ED visit records using Statistics Canada's Postal Code Conversion File, which links postal and census geography. Results: A total of 36,765,189 visits occurred during the study period. A cross-province trend was found wherein the most deprived population used EDs disproportionately more than the least deprived population (relative risk: 1.971 95% confidence interval 1.969-1.973, p , 0.0001). This trend was stable across the entire study period, although the divergence is attenuating. Conclusion: Social determinants of health clearly impact ED use patterns. People of the lowest SES use ED services disproportionately more than other socioeconomic groups. Focused health system planning and policy development directed at optimizing health services for the lowest SES populations are essential to changing ED use patterns and may be one method of decreasing ED overcrowding. RÉ SUMÉObjectif: L'encombrement des services des urgences (SU) au Canada est un problè me chronique, qui a pour effets de prolonger les dé lais d'attente, de diminuer la qualité des services, d'accroître les souffrances des patients et d'alté rer l'é volution de leur é tat de santé . Nous avons donc examiné la relation entre le statut socioé conomique (SSE) des usagers et l'utilisation des SU dans le cadre du systè me de soins de santé universels au Canada afin de dé gager les caracté ristiques de ces usagers, et ce, dans l'optique d'amé liorer la qualité des soins donné s aux populations les plus dé favorisé es et de diminuer le nombre de patients dans les SU. Ré sultats: Au total, 36 765 189 consultations ont é té dé nombré es durant la pé riode à l'é tude. Une tendance gé né rale s'est dé gagé e de tous les SU de la province: les populations les plus dé favorisé es ont eu recours aux SU de maniè re disproportionné e par rapport aux populations les moins dé favorisé es (risque relatif: 1.971; intervalle de confiance à 95%: 1.969-1.973; p , 0.0001). La tendance s'est ré vé lé e stable tout le long de la pé riode à l'é tude, bien que l'é cart soit en voie de diminution maintenant. Conclusions: Les dé terminants sociaux de la santé ...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.