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Malkin J, Jessiman-Perreault G, Alberga Machado A, Teare G, Snider J, Tirmizi SF, Youngson E, Wang T, Law J, Bandara T, Rathwell M, Neudorf C, Allen Scott L. Individual and Geospatial Determinants of Health Associated With School-Based Human Papillomavirus Immunization in Alberta: Population-Based Cohort Study. JMIR Public Health Surveill 2024; 10:e45508. [PMID: 38536211 PMCID: PMC11007603 DOI: 10.2196/45508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 10/06/2023] [Accepted: 01/07/2024] [Indexed: 04/13/2024] Open
Abstract
BACKGROUND Human papillomavirus (HPV) infection causes nearly all cervical cancer cases and is a cause of anogenital and oropharyngeal cancers. The incidence of HPV-associated cancers is inequitable, with an increased burden on marginalized groups in high-income countries. Understanding how immunization status varies by material and social deprivation, health system, and geospatial factors is valuable for prioritizing and planning HPV immunization interventions. OBJECTIVE The objective of this study was to describe school-based HPV immunization rates by individual and geospatial determinants of health in Alberta, Canada. METHODS Health administrative data for male and female individuals born in 2004 in Alberta were used to determine HPV immunization status based on age and the number of doses administered in schools during the 2014/2015-2018/2019 school years. Immunization status and its relationship with material and social deprivation and health system factors were assessed by a logistic regression model. Geospatial clustering was assessed using Getis-Ord Gi* hot spot analysis. Mean scores of material and social deprivation and health system factors were compared between hot and cold spots without full HPV immunization using independent samples t tests. A multidisciplinary team comprising researchers and knowledge users formed a co-design team to design the study protocol and review the study results. RESULTS The cohort consisted of 45,207 youths. In the adjusted model, the odds of those who did not see their general practitioner (GP) within 3 years before turning 10 years old and not being fully immunized were 1.965 times higher (95% CI 1.855-2.080) than those who did see their GP. The odds of health system users with health conditions and health system nonusers not being fully immunized were 1.092 (95% CI 1.006-1.185) and 1.831 (95% CI 1.678-1.998) times higher, respectively, than health system users without health conditions. The odds of those who lived in areas with the most material and social deprivation not being fully immunized were 1.287 (95% CI 1.200-1.381) and 1.099 (95% CI 1.029-1.174) times higher, respectively, than those who lived in areas with the least deprivation. The odds of those who lived in rural areas not being fully immunized were 1.428 times higher (95% CI 1.359-1.501) than those who lived in urban areas. Significant hot spot clusters of individuals without full HPV immunization exist in rural locations on the northern and eastern regions of Alberta. Hot spots had significantly worse mean material deprivation scores (P=.008) and fewer GP visits (P=.001) than cold spots. CONCLUSIONS Findings suggest that material and social deprivation, health system access, and rural residency impact HPV immunization. Such factors should be considered by public health professionals in other jurisdictions and will be used by the Alberta co-design team when tailoring programs to increase HPV vaccine uptake in priority populations and regions.
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Affiliation(s)
- Jennifer Malkin
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada
| | - Geneviève Jessiman-Perreault
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada
| | - Amanda Alberga Machado
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada
| | - Gary Teare
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada
| | - Joanne Snider
- Communicable Disease Control, Provincial Population and Public Health, Alberta Health Services, Edmonton, AB, Canada
| | - Syed Farhan Tirmizi
- Communicable Disease Control, Provincial Population and Public Health, Alberta Health Services, Edmonton, AB, Canada
| | - Erik Youngson
- Provincial Research Data Services, Alberta Health Services, Edmonton, AB, Canada
| | - Ting Wang
- Provincial Research Data Services, Alberta Health Services, Edmonton, AB, Canada
| | - Jessica Law
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada
| | - Thilina Bandara
- School of Public Health, University of Saskatchewan, Saskatoon, SK, Canada
| | | | | | - Lisa Allen Scott
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada
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Jessiman-Perreault G, Law J, Adhikari K, Machado AA, Moysey B, Xu L, Yang H, Scott LKA, Teare G, Li A. Geospatial analysis and participant characteristics associated with colorectal cancer screening participation in Alberta, Canada: a population-based cross-sectional study. BMC Health Serv Res 2023; 23:1454. [PMID: 38129826 PMCID: PMC10740253 DOI: 10.1186/s12913-023-10486-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 12/16/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is a leading cause of death in Canada and early detection can prevent deaths through screening. However, CRC screening in Alberta, Canada remains suboptimal and varies by sociodemographic and health system characteristics, as well as geographic location. This study aimed to further the understanding of these participant and health system characteristics associated with CRC screening in Alberta and identify clusters of regions with higher rates of overdue or unscreened individuals. METHODS We included Albertans aged 52 to 74 as of December 31, 2019 (index date) and we used data from administrative health data sources and linked to the Alberta Colorectal Cancer Screening Program database to determine colorectal cancer screening rates. We used multivariable multinomial logistic regression analysis to investigate the relationship between sociodemographic, health system characteristics and participation in CRC screening. We used optimized Getis-Ord Gi* hot-spot analysis to identify hot and cold-spots in overdue for and no record of CRC screening. RESULTS We included 919,939 Albertans, of which 65% were currently up to date on their CRC screening, 21% were overdue, and 14% had no record of CRC screening. Compared to Albertans who were currently up to date, those who were in older age groups, those without a usual provider of care, those who were health system non-users, and those living in more deprived areas were more likely to have no record of screening. Areas with high number of Albertans with no record of screening were concentrated in the North and Central zones. CONCLUSIONS Our study showed important variation in colorectal cancer screening participation across sociodemographic, health system and geographical characteristics and identified areas with higher proportions of individuals who have no record of screening or are under-screened in Alberta, Canada.
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Affiliation(s)
- Geneviève Jessiman-Perreault
- Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada
| | - Jessica Law
- Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada
| | - Kamala Adhikari
- Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada.
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
| | - Amanda Alberga Machado
- Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada
| | - Barbara Moysey
- Screening Programs, Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada
| | - Linan Xu
- Screening Programs, Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada
| | - Huiming Yang
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
- Screening Programs, Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada
| | - Lisa K Allen Scott
- Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
- Department of Oncology, University of Calgary, 1331 29th Street NW, Calgary, AB, T2N 4N2, Canada
| | - Gary Teare
- Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Alvin Li
- Provincial Population and Public Health, Alberta Health Services, Holy Cross Centre, 2210 2 St SW, Calgary, AB, T2S 3C3, Canada
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Hill NTM, Bouras H, Too LS, Perry Y, Lin A, Weiss D. Association between mental health workforce supply and clusters of high and low rates of youth suicide: An Australian study using suicide mortality data from 2016 to 2020. Aust N Z J Psychiatry 2023; 57:1465-1474. [PMID: 37608497 PMCID: PMC10619187 DOI: 10.1177/00048674231192764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
OBJECTIVE To examine the association between mental health workforce supply and spatial clusters of high versus low incidence of youth suicide. METHODS A cross-sectional analysis of spatial suicide clusters in young Australians (aged 10-25) from 2016 to 2020 was conducted using the scan statistic and suicide data from the National Coronial Information System. Mental health workforce was extracted from the 2020 National Health Workforce Dataset by local government areas. The Geographic Index of Relative Supply was used to estimate low and moderate-to-high mental health workforce supply for clusters characterised by a high and low incidence of suicide (termed suicide hotspots and coldspots, respectively). Univariate and multivariate logistic regression was used to determine the association between suicide clusters and a range of sociodemographic characteristics including mental health workforce supply. RESULTS Eight suicide hotspots and two suicide coldspots were identified. The multivariate analysis showed low mental health workforce supply was associated with increased odds of being involved in a suicide hotspot (adjusted odds ratio = 8.29; 95% confidence interval = 5.20-13.60), followed by residential remoteness (adjusted odds ratio = 2.85; 95% confidence interval = 1.68-4.89), and illicit drug consumption (adjusted odds ratio = 1.97; 1.24-3.11). Both coldspot clusters occurred in areas with moderate-to-high mental health workforce supply. CONCLUSION Findings highlight the potential risk and protective roles that mental health workforce supply may play in the spatial distributions of youth suicide clusters. These findings have important implications for the provision of postvention and the prevention of suicide clusters.
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Affiliation(s)
- NTM Hill
- Telethon Kids Institute, Nedlands, WA, Australia
- Centre for Child Health Research, The University of Western Australia, Crawley, WA, Australia
- Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - H Bouras
- Telethon Kids Institute, Nedlands, WA, Australia
| | - LS Too
- Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Y Perry
- Telethon Kids Institute, Nedlands, WA, Australia
- Centre for Child Health Research, The University of Western Australia, Crawley, WA, Australia
| | - A Lin
- Telethon Kids Institute, Nedlands, WA, Australia
- Centre for Child Health Research, The University of Western Australia, Crawley, WA, Australia
| | - D Weiss
- Telethon Kids Institute, Nedlands, WA, Australia
- Curtin School of Population Health, Curtin University, Bentley, WA, Australia
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Wang Z, Dong W, Yang K. Spatiotemporal Analysis and Risk Assessment Model Research of Diabetes among People over 45 Years Old in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9861. [PMID: 36011493 PMCID: PMC9407905 DOI: 10.3390/ijerph19169861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/06/2022] [Accepted: 08/08/2022] [Indexed: 06/15/2023]
Abstract
Diabetes, which is a chronic disease with a high prevalence in people over 45 years old in China, is a public health issue of global concern. In order to explore the spatiotemporal patterns of diabetes among people over 45 years old in China, to find out diabetes risk factors, and to assess its risk, we used spatial autocorrelation, spatiotemporal cluster analysis, binary logistic regression, and a random forest model in this study. The results of the spatial autocorrelation analysis and the spatiotemporal clustering analysis showed that diabetes patients are mainly clustered near the Beijing−Tianjin−Hebei region, and that the prevalence of diabetes clusters is waning. Age, hypertension, dyslipidemia, and smoking history were all diabetes risk factors (p < 0.05), but the spatial heterogeneity of these factors was weak. Compared with the binary logistic regression model, the random forest model showed better accuracy in assessing diabetes risk. According to the assessment risk map generated by the random forest model, the northeast region and the Beijing−Tianjin−Hebei region are high-risk areas for diabetes.
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Affiliation(s)
- Zhenyi Wang
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China
- GIS Technology Engineering Research Centre of West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming 650500, China
| | - Wen Dong
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China
- GIS Technology Engineering Research Centre of West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming 650500, China
| | - Kun Yang
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China
- GIS Technology Engineering Research Centre of West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming 650500, China
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Marek L, Hobbs M, Wiki J, McCarthy J, Tomintz M, Campbell M, Kingham S. Spatial-temporal patterns of childhood immunization in New Zealand (2006-2017): an improving pattern but not for all? Eur J Public Health 2021; 31:561-566. [PMID: 33624065 DOI: 10.1093/eurpub/ckaa225] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Declining childhood immunization represents a serious public health problem globally and in New Zealand. To guide efforts to increase immunization coverage, this study monitors nationwide change in immunization coverage since the introduction of the National Immunisation Register (NIR) in 2005 and spatiotemporal patterns of immunization coverage from 2006 to 2017. METHODS The study population consisted of 4 482 499 individual immunization records that were obtained from the NIR (2005-2017). Data on yearly and average immunization coverage in census area units (CAUs) in New Zealand were calculated by milestone age (6/8/12/18/24/60/144 months). Data for 2005 were excluded due to missing records in the introductory period of the NIR. We analyzed spatial and spatiotemporal patterns using Gi* and SaTScan methods. RESULTS Immunization coverage improved since the introduction of the NIR in 2005, reaching a peak in 2014 and 2015 with a slight decrease in 2016 and 2017. Well and insufficiently immunized areas were identified with spatial autocorrelation analyses highlighting several hot- and cold-spots. Comparison of CAUs with neighbouring CAUs allowed for the identification of places where immunization coverage was significantly higher or lower than expected, over both time and space. CONCLUSION We provide the first spatiotemporal analysis of childhood immunization in New Zealand that utilizes a large sample of over 4.4 million individual immunization records. Our spatial analyses enable policymakers to understand the development of childhood immunization coverage and make more effective prevention strategies in New Zealand.
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Affiliation(s)
- Lukas Marek
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand
| | - Matthew Hobbs
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.,School of Health Sciences, University of Canterbury, Christchurch, New Zealand
| | - Jesse Wiki
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand
| | | | - Melanie Tomintz
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand
| | - Malcolm Campbell
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.,School of Earth and Environment, University of Canterbury, Christchurch, New Zealand
| | - Simon Kingham
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.,School of Earth and Environment, University of Canterbury, Christchurch, New Zealand
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Wilson SE, Bunko A, Johnson S, Murray J, Wang Y, Deeks SL, Crowcroft NS, Friedman L, Loh LC, MacLeod M, Taylor C, Li Y. The geographic distribution of un-immunized children in Ontario, Canada: Hotspot detection using Bayesian spatial analysis. Vaccine 2021; 39:1349-1357. [PMID: 33518467 DOI: 10.1016/j.vaccine.2020.11.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 11/04/2020] [Accepted: 11/05/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND In Ontario, Canada, little is currently known about the extent to which un-immunized children may cluster geographically. Our objectives were to: describe the geographic distribution of fully un-immunized children; identify geographic clusters (hotspots) of un-immunized children; and to characterize the contribution of spatial effects and covariates on hotspots, where found. METHODS Our analytic cohort consisted of Ontario students aged 7-17 years in the 2016-2017 school year. We defined students as un-immunized if they had zero doses of any vaccine and a non-medical exemption recorded in Ontario's registry. We calculated unadjusted proportions of un-immunized students by Census Subdivision (CSD) and then used a sequential approach to identify hotspots starting first with hotspot identification at the CSD level and then probed identified hotspots further by Dissemination Area (DA) and including covariates. Hotspots were identified using the Besag-York-Mollie Bayesian spatial model and were defined as areas with >95% probability of having two times the proportion of un-immunized students, relative to the province overall. RESULTS We identified 15,208 (0.94%) un-immunized children within our cohort consisting of more than 1.61 million students. Unadjusted proportions of un-immunized students varied greatly by geography, ranging from 0% to 21.5% by CSD. We identified 16 hotspot CSDs which clustered in five distinct areas, all of which were located in southern Ontario. The contribution of covariates and spatial effects on the risk of having un-immunized students varied greatly across hotspot areas. CONCLUSIONS Although the provincial proportion (0.94%) of un-immunized students is small, geographical clustering of such students is evident in Ontario and in some areas presents an important risk for future outbreaks. Further qualitative work within these hotspot areas would be a helpful next step to better characterize the factors associated with vaccine refusal in these communities.
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Affiliation(s)
- Sarah E Wilson
- Public Health Ontario, 480 University Avenue, Suite 1701, Toronto, Ontario M5G 1M1, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada; ICES, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada.
| | - Andrean Bunko
- Public Health Ontario, 480 University Avenue, Suite 1701, Toronto, Ontario M5G 1M1, Canada
| | - Steven Johnson
- Public Health Ontario, 480 University Avenue, Suite 1701, Toronto, Ontario M5G 1M1, Canada
| | - Jillian Murray
- Public Health Ontario, 480 University Avenue, Suite 1701, Toronto, Ontario M5G 1M1, Canada
| | - Yue Wang
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada
| | - Shelley L Deeks
- Public Health Ontario, 480 University Avenue, Suite 1701, Toronto, Ontario M5G 1M1, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada
| | - Natasha S Crowcroft
- Public Health Ontario, 480 University Avenue, Suite 1701, Toronto, Ontario M5G 1M1, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada; ICES, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King's College Circle, Toronto, Ontario M5S 1A8, Canada
| | - Lindsay Friedman
- Public Health Ontario, 480 University Avenue, Suite 1701, Toronto, Ontario M5G 1M1, Canada
| | - Lawrence C Loh
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada; Peel Public Health, 7120 Hurontario Street, Mississauga, Ontario L5W 1N4, Canada
| | - Melissa MacLeod
- Southwestern Public Health, 410 Buller Street, Woodstock, Ontario N4S 6G9, Canada
| | - Christina Taylor
- Huron Perth Public Health, 77722B London Road R.R. 5, Clinton, Ontario N0M 1L0, Canada
| | - Ye Li
- Public Health Ontario, 480 University Avenue, Suite 1701, Toronto, Ontario M5G 1M1, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada
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Liu X, Shahid R, Patel AB, McDonald T, Bertazzon S, Waters N, Seidel JE, Marshall DA. Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada. BMC Public Health 2020; 20:1551. [PMID: 33059639 PMCID: PMC7559790 DOI: 10.1186/s12889-020-09599-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 09/23/2020] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Knowledge of geospatial pattern in comorbidities prevalence is critical to an understanding of the local health needs among people with osteoarthritis (OA). It provides valuable information for targeting optimal OA treatment and management at the local level. However, there is, at present, limited evidence about the geospatial pattern of comorbidity prevalence in Alberta, Canada. METHODS Five administrative health datasets were linked to identify OA cases and comorbidities using validated case definitions. We explored the geospatial pattern in comorbidity prevalence at two standard geographic areas levels defined by the Alberta Health Services: descriptive analysis at rural-urban continuum level; spatial analysis (global Moran's I, hot spot analysis, cluster and outlier analysis) at the local geographic area (LGA) level. We compared area-level indicators in comorbidities hotspots to those in the rest of Alberta (non-hotspots). RESULTS Among 359,638 OA cases in 2013, approximately 60% of people resided in Metro and Urban areas, compared to 2% in Rural Remote areas. All comorbidity groups exhibited statistically significant spatial autocorrelation (hypertension: Moran's I index 0.24, z score 4.61). Comorbidity hotspots, except depression, were located primarily in Rural and Rural Remote areas. Depression was more prevalent in Metro (Edmonton-Abbottsfield: 194 cases per 1000 population, 95%CI 192-195) and Urban LGAs (Lethbridge-North: 169, 95%CI 168-171) compared to Rural areas (Fox Creek: 65, 95%CI 63-68). Comorbidities hotspots included a higher percentage of First Nations or Inuit people. People with OA living in hotspots had lower socioeconomic status and less access to care compared to non-hotspots. CONCLUSIONS The findings highlight notable rural-urban disparities in comorbidities prevalence among people with OA in Alberta, Canada. Our study provides valuable evidence for policy and decision makers to design programs that ensure patients with OA receive optimal health management tailored to their local needs and a reduction in current OA health disparities.
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Affiliation(s)
- Xiaoxiao Liu
- Department of Community Health Science, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, HRIC Building, Room 3C58, Calgary, AB, T2N 4Z6, Canada
- McCaig Bone and Joint Health Institute, University of Calgary, Calgary, Canada
- O'Brien Institute for Public Health, University of Calgary, Calgary, Canada
| | - Rizwan Shahid
- Department of Geography, University of Calgary, Calgary, Canada
- Applied Research and Evaluation Services, Alberta Health Services, Calgary, Canada
| | - Alka B Patel
- Department of Community Health Science, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, HRIC Building, Room 3C58, Calgary, AB, T2N 4Z6, Canada
- Applied Research and Evaluation Services, Alberta Health Services, Calgary, Canada
| | - Terrence McDonald
- Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | | | - Nigel Waters
- Department of Geography, University of Calgary, Calgary, Canada
| | - Judy E Seidel
- Department of Community Health Science, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, HRIC Building, Room 3C58, Calgary, AB, T2N 4Z6, Canada
- Applied Research and Evaluation Services, Alberta Health Services, Calgary, Canada
| | - Deborah A Marshall
- Department of Community Health Science, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, HRIC Building, Room 3C58, Calgary, AB, T2N 4Z6, Canada.
- McCaig Bone and Joint Health Institute, University of Calgary, Calgary, Canada.
- O'Brien Institute for Public Health, University of Calgary, Calgary, Canada.
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Gianfredi V, Moretti M, Lopalco PL. Countering vaccine hesitancy through immunization information systems, a narrative review. Hum Vaccin Immunother 2019; 15:2508-2526. [PMID: 30932725 PMCID: PMC6930057 DOI: 10.1080/21645515.2019.1599675] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 03/06/2019] [Accepted: 03/15/2019] [Indexed: 01/02/2023] Open
Abstract
Immunization is one of the most important public health interventions to contrast infectious disease; however, many people nowadays refuse vaccination. Vaccine hesitancy (VH) is due to several factors that influence the complex decision-making process. Information technology tools might play an important role in vaccination programs. In particular, immunization information systems (IISs) have the potential to improve performance of vaccination programs and to increase vaccine uptake. This review aimed to present IIS functionalities in order to counter VH. In detail, we analyzed the automatic reminder/recall system, the interoperability of the system, the decision support system, the web page interface and the possibility to record adverse events following immunization. IIS could concretely represent a valid instrument to increase vaccine confidence, especially trust in both health-care workers and decision makers. There are not enough trials aimed to evaluate the efficacy of IIS to counter VH. Further researches might focalize on this aspect.
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Affiliation(s)
- Vincenza Gianfredi
- Post-Graduate School of Hygiene and Preventive Medicine, Department of Experimental Medicine, University of Perugia, Perugia, Italy
| | - Massimo Moretti
- Department of Pharmaceutical Science, Unit of Public Health, University of Perugia, Perugia, Italy
| | - Pier Luigi Lopalco
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
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