Dataset Information

Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach.

ABSTRACT:

Objectives

Previous studies on geographical disparities in healthcare access have been limited by not accounting for the healthcare provider's capacity, a key determinant of supply and demand relationships.

Design

This study proposed a spatial coverage modelling approach to evaluate disparities in hospital care access using Canadian Institute for Health Information data in 2007.

Setting

This study focusses on accessibility of inpatient and emergency cares at both levels of individual hospital and the administrative regions of Local Health Integration Network (LHIN) levels.

Measures

We integrated a set of traffic and geographical data to precisely estimate travel time as a measure of the level of accessibility to the nearest hospital by three scenarios: walking, driving and a combination of the both. We estimated population coverage rates, using hospital capacities and population in the catchments, as a measure of the level of the healthcare availability. Hospital capacities were calculated based on numbers of medical staff and beds, occupation rates and annual working hours of healthcare providers.

Results

We observed significant disparities in hospital capacity, travel time and population coverage rate across the LHINs. This study included 25 teaching and 148 community hospitals. The teaching hospitals had stronger capacities with 489?209 inpatient and 130?773 emergency patients served in the year, while the population served in community hospitals were 2.64 times higher. Compared with north Ontario, more locations in the south could reach to hospitals within 30?min irrespective of the travel mode. Additionally, Northern Ontario has higher population coverage rates, for example, with 42.6~46.9% for inpatient and 15.7~44% for emergency cares, compared with 2.4~34.7%?and 0.35~14.6% in Southern Ontario, within a 30?min catchment by driving.

Conclusion

Creating a comprehensive, flexible and integrated healthcare system should be considered as an effective approach to improve equity in access to care.

SUBMITTER: Ge E

PROVIDER: S-EPMC7845691 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach.

Ge Erjia E Su Min M Zhao Ruiling R Huang Zhiyong Z Shan Yina Y Wei Xiaolin X

BMJ open 20210128 1

<h4>Objectives</h4>Previous studies on geographical disparities in healthcare access have been limited by not accounting for the healthcare provider's capacity, a key determinant of supply and demand relationships.<h4>Design</h4>This study proposed a spatial coverage modelling approach to evaluate disparities in hospital care access using Canadian Institute for Health Information data in 2007.<h4>Setting</h4>This study focusses on accessibility of inpatient and emergency cares at both levels of ...[more]

PMID: 33509846

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Project description:BackgroundLong distances to facilities, topographical constraints, inadequate service capacity of institutions and insufficient/ rudimentary road & transportation network culminate into unprecedented barriers to access. These barriers gets exacerbated in presence of external factors like conflict and political disruptions. Thus, this study was conducted in rural, remote and fragile region in India measuring geographical accessibility and modelling spatial coverage of public healthcare network.MethodsVector and raster based approaches were used to discern accessibility for various packages of service delivery. Alternative scenarios derived from local experiences were modelled using health facility, population and ancillary data. Based on that, a raster surface of travel time between facilities and population was developed by incorporating terrain, physical barriers, topography and travelling modes and speeds through various land-cover classes. Concomitantly, spatial coverage was modelled to delineate catchment areas. Further, underserved population and zonal statistics were assessed in an interactive modelling approach to ascertain spatial relationship between population, travel time and zonal boundaries. Finally, raster surface of travel time was re-modelled for the conflict situation in villages vulnerable to obstruction of access due to disturbed security scenario.ResultsEuclidean buffers revealed 11% villages without ambulatory & immunization care within 2 km radius. Similarly, for 5 km radius, 11% and 12% villages were bereft of delivery and inpatient care. Travel time accessibility analysis divulged walking scenario exhibiting lowest level of accessibility. Enabling motorized travel improved accessibility measures, with highest degree of accessibility for privately owned vehicle (motorcycle and cars). Differential results were found between packages of services where ambulatory & immunization care was relatively accessible by walking; whereas, delivery and inpatient care had a staggering average of three hours walking time. Even with best scenario, around 2/3rd population remained unserved for all package of services. Moreover, 90% villages in conflict zone grapples with inaccessibility when the scenario of heightened border tensions was considered.ConclusionsOur study demonstrated the application of GIS technique to facilitate evidence backed planning at granular level. Regardless of the scenario, the analysis divulged inaccessibility to delivery and inpatient care to be most pronounced and majority of population to be unserved. It was suggested to have concerted efforts to bolster already existing facilities and adapt systems approach to exploit synergies of inter-sectoral development.

Project description:ImportanceMen and women should earn equal pay for equal work. An examination of the magnitude of pay disparities could inform strategies for remediation.ObjectiveTo examine gender-based differences in pay within a large, comprehensive physician population practicing within a variety of payment systems.Design, setting, and participantsThis cross-sectional study used data from the Ontario Health Insurance Plan (OHIP) in the 2017 to 2018 fiscal year to estimate differences in gross payments between men and women physicians in Ontario, Canada. Pay gaps were calculated annually and daily. Regression analyses were used to control for observable practice characteristics that could account for individual differences in daily pay. In Canada's largest province, Ontario, medical services are predominantly provided by self-employed physicians who bill the province's single payer, OHIP. All physicians who submitted claims to OHIP were included. Data were analyzed from January 2020 to July 2021.ExposuresPhysician gender, obtained from the OHIP Corporate Provider Database. Gender is recorded as male or female.Main outcomes and measuresGross clinical payments were tabulated for individual physicians on a daily and annual basis in conjunction with each physician's practice characteristics, setting, and specialty.ResultsA total of 31 481 physicians were included in the study sample (12 604 [40.0%] women; 18 877 [60.0%] men; mean [SD] time since graduation, 23.3 [13.6] years), representing 99% of active physicians in Ontario. The unadjusted differences in clinical payments between male and female physicians were 32.8% (95% CI, 30.8%-34.6%) annually and 22.5% (95% CI, 21.2%-23.8%) daily. After accounting for practice characteristics, region, and specialty, the overall daily payment gap was 13.5% (95% CI, 12.3%-14.8%). The pay gap persisted with differing magnitudes when examined by specialty (ranging from 6.6% to 37.6%), practice setting (8.3% to 17.2%), payment model (13.4% to 22.8% for family medicine; 8.0% to 11.6% for other specialties), and rurality (8.0% to 16.5%).Conclusions and relevanceThis cross-sectional study examined differences in magnitude of annual and daily payment gaps and between unadjusted and adjusted gaps. Comparing the gaps for different specialties, geography, and payment systems illustrated the complexity of the issue by showing that the pay gap varied for physicians in different practice settings. As such, multiple directed interventions will be necessary to ensure that all physicians are paid equally for equal work, regardless of gender.

Project description:In August 2011, Ontario, Canada introduced a rotavirus immunization program using Rotarix™ vaccine. No assessments of rotavirus vaccine coverage have been previously conducted in Ontario.We assessed vaccine coverage (series initiation and completion) and factors associated with uptake using the Electronic Medical Record Administrative data Linked Database (EMRALD), a collection of family physician electronic medical records (EMR) linked to health administrative data. Series initiation (1 dose) and series completion (2 doses) before and after the program's introduction were calculated. To identify factors associated with series initiation and completion, adjusted odds ratios (aOR) and 95% confidence intervals (95%CI) were calculated using logistic regression.A total of 12,525 children were included. Series completion increased each year of the program (73%, 79% and 84%, respectively). Factors associated with series initiation included high continuity of care (aOR = 2.15; 95%CI, 1.61-2.87), maternal influenza vaccination (aOR = 1.55; 95%CI,1.24-1.93), maternal immmigration to Canada in the last five years (aOR = 1.47; 95% CI, 1.05-2.04), and having no siblings (aOR = 1.62; 95%CI,1.30-2.03). Relative to the first program year, infants were more likely to initiate the series in the second year (aOR = 1.71; 95% CI 1.39-2.10) and third year (aOR = 2.02; 95% CI 1.56-2.61) of the program. Infants receiving care from physicians with large practices were less likely to initiate the series (aOR 0.91; 95%CI, 0.88-0.94, per 100 patients rostered) and less likely to complete the series (aOR 0.94; 95%CI, 0.91-0.97, per 100 patients rostered). Additional associations were identified for series completion.Family physician delivery achieved moderately high coverage in the program's first three years. This assessment demonstrates the usefulness of EMR data for evaluating vaccine coverage. Important insights into factors associated with initiation or completion (i.e. high continuity of care, smaller roster sizes, rural practice location) suggest areas for research and potential program supports.

Project description:ImportanceWomen who experience imprisonment have higher rates of cervical cancer. Lack of access to cervical cancer screening in the community or in prison may contribute to increased cervical cancer incidence.ObjectivesTo determine cervical cancer screening rates for women in provincial prison in Ontario, Canada, and to compare these data with data for the general population.Design, setting, and participantsThis retrospective cohort study used correctional and health administrative data from January 1, 2006, to December 31, 2013. Participants included Ontario women aged 21 to 69 years during the follow-up period with no history of cervical cancer or hysterectomy. Analyses were conducted between July 2017 and September 2018.ExposuresWomen admitted to Ontario provincial prison in 2009 or 2010 and released in 2010 were considered exposed, and women in the general population of Ontario were considered unexposed.Main outcomes and measuresWhether women were overdue for cervical cancer screening at the time of admission to prison or on July 1, 2010, for the general population, defined as not having been screened in the previous 3 years, and whether women who were overdue were still overdue after 3 years.ResultsThere were 4553 women in the prison group and 3?647?936 women in the general population group. The median (interquartile range) age was 36 (29-43) years in the prison group and 43 (34-53) years in the general population. Women in the prison group had 2.20 times (95% CI, 2.08-2.33) the odds of being overdue for cervical cancer screening compared with women in the general population after adjusting for neighborhood income quintile, at 53.9% (95% CI, 51.8%-56.1%) compared with 32.9% (95% CI, 32.8%-33.0%) (P?<?.001). Women in the prison group also had nearly twice the odds of still being overdue at 3 years, with an odds ratio of 1.87 (95% CI, 1.76-1.99) after adjusting for neighborhood income quintile, and rates of still being overdue of 36.2% (95% CI, 34.5%-38.0%) compared with 21.9% (95% CI, 21.8%-21.9%) (P?<?.001).Conclusions and relevanceWomen who experience imprisonment have worse cervical cancer screening access than women in the general population. Work should be done to promote cervical cancer screening awareness and to improve access to acceptable screening in prison and in the community after prison release.

Dataset Information

Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach.

Objectives

Design

Setting

Measures

Results

Conclusion

Publications

Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach.

Similar Datasets

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