Measuring social determinants of health and their impact on service use and medical complexity
Introduction Population based data on the social determinants of health are not widely available, despite a wide body of evidence pointing to their importance. The Mantioba Population Research Data Repository offers a unique opportunity to leverage data from multiple government departments to assess...
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| Format: | Article |
| Language: | English |
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Swansea University
2018-09-01
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| Series: | International Journal of Population Data Science |
| Online Access: | https://ijpds.org/article/view/993 |
| _version_ | 1797425201644830720 |
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| author | Dan Chateau Alan Katz Chelsey McDougall Carole Taylor Scott McCulloch |
| author_facet | Dan Chateau Alan Katz Chelsey McDougall Carole Taylor Scott McCulloch |
| author_sort | Dan Chateau |
| collection | DOAJ |
| description | Introduction
Population based data on the social determinants of health are not widely available, despite a wide body of evidence pointing to their importance. The Mantioba Population Research Data Repository offers a unique opportunity to leverage data from multiple government departments to assess the relationship between measurable social determinants and health.
Objectives and Approach
Using population based data from health, small area level census survey questions, social assisitance, education, social housing, child protective services and justice, linked at the individual level, we measured indicators of social complexity and mapped them in the province of Manitoba. Individuals with high level of social complexity were then compared with indicators of medical complexity and/or high use of medical services to determine the degree of overlap between these attributes of individuals. A matched group of individuals without any of the measured social complexities was developed and the number and reason for visits to primary care providers was compared.
Results
The rate of individuals having three or more social complexities varied from a low of ~7% to a high of 35%, depending on the geographic location. High residential mobiity, involvement with the justice system and history of social assistance were the most frequent (>15%). Individuals with social complexities tended to be younger and live in poorer neighbourhoods than medically complex individuals or high users of health services. Socially complex persons had on average 5.5 primary care visits annually, compared to only ~3.5 for matched individuals with no social complexities. The overlap with high users of health services was slight (14.4%) and depended on the characteristics of the population. The overlap with medically complex patients ws higher (16.2%), particularly when medical complexity included mental health related diagnoses (20.4%).
Conclusion/Implications
The proportion of individuals with social complexities is large, and a substantial number have multiple risk factors. These individuals are for the most part a unique group, distinct from medically complex patients. Different strategies for care may be necessary to promote and sustain mental and physical health and wellbeing. |
| first_indexed | 2024-03-09T08:12:37Z |
| format | Article |
| id | doaj.art-7b858e7eb741432faba0c337ac3e5598 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T08:12:37Z |
| publishDate | 2018-09-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-7b858e7eb741432faba0c337ac3e55982023-12-02T23:11:02ZengSwansea UniversityInternational Journal of Population Data Science2399-49082018-09-013410.23889/ijpds.v3i4.993993Measuring social determinants of health and their impact on service use and medical complexityDan Chateau0Alan Katz1Chelsey McDougall2Carole Taylor3Scott McCulloch4Manitoba Centre for Health Policy, University of ManitobaUniversity of Manitoba/Manitoba Centre for Health PolicyManitoba Centre for Health Policy, University of ManitobaUniversity of ManitobaUniversity of Manitoba/Manitoba Centre for Health PolicyIntroduction Population based data on the social determinants of health are not widely available, despite a wide body of evidence pointing to their importance. The Mantioba Population Research Data Repository offers a unique opportunity to leverage data from multiple government departments to assess the relationship between measurable social determinants and health. Objectives and Approach Using population based data from health, small area level census survey questions, social assisitance, education, social housing, child protective services and justice, linked at the individual level, we measured indicators of social complexity and mapped them in the province of Manitoba. Individuals with high level of social complexity were then compared with indicators of medical complexity and/or high use of medical services to determine the degree of overlap between these attributes of individuals. A matched group of individuals without any of the measured social complexities was developed and the number and reason for visits to primary care providers was compared. Results The rate of individuals having three or more social complexities varied from a low of ~7% to a high of 35%, depending on the geographic location. High residential mobiity, involvement with the justice system and history of social assistance were the most frequent (>15%). Individuals with social complexities tended to be younger and live in poorer neighbourhoods than medically complex individuals or high users of health services. Socially complex persons had on average 5.5 primary care visits annually, compared to only ~3.5 for matched individuals with no social complexities. The overlap with high users of health services was slight (14.4%) and depended on the characteristics of the population. The overlap with medically complex patients ws higher (16.2%), particularly when medical complexity included mental health related diagnoses (20.4%). Conclusion/Implications The proportion of individuals with social complexities is large, and a substantial number have multiple risk factors. These individuals are for the most part a unique group, distinct from medically complex patients. Different strategies for care may be necessary to promote and sustain mental and physical health and wellbeing.https://ijpds.org/article/view/993 |
| spellingShingle | Dan Chateau Alan Katz Chelsey McDougall Carole Taylor Scott McCulloch Measuring social determinants of health and their impact on service use and medical complexity International Journal of Population Data Science |
| title | Measuring social determinants of health and their impact on service use and medical complexity |
| title_full | Measuring social determinants of health and their impact on service use and medical complexity |
| title_fullStr | Measuring social determinants of health and their impact on service use and medical complexity |
| title_full_unstemmed | Measuring social determinants of health and their impact on service use and medical complexity |
| title_short | Measuring social determinants of health and their impact on service use and medical complexity |
| title_sort | measuring social determinants of health and their impact on service use and medical complexity |
| url | https://ijpds.org/article/view/993 |
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