Dataset Information

Predictive Modelling of Diabetes Risk in Population Groups Defined by Socioeconomic and Lifestyle Factors in Canada: A Cross-Sectional Study.

ABSTRACT:

Objectives

This study modelled diabetes risk for population groups in Canada defined by socioeconomic and lifestyle characteristics and investigated inequities in diabetes risk using a validated population risk prediction algorithm.

Methods

We defined population groups, informed by determinants of health frameworks. We applied the Diabetes Population Risk Tool (DPoRT) to 2017/2018 Canadian Community Health Survey data to predict 10-year diabetes risk and cases across population groups. We modelled a preventive intervention scenario to estimate reductions in diabetes for population groups and impacts on the inequity in diabetes risk across income and education.

Results

The population group with at least one lifestyle and at least one socioeconomic/structural risk factor had the highest estimated 10-year diabetes risk and number of new cases. When an intervention with a 5% relative risk reduction was modelled for this population group, diabetes risk decreased by 0.5% (females) and 0.7% (males) and the inequity in diabetes risk across income and education levels was reduced.

Conclusion

Preventative interventions that address socioeconomic and structural risk factors have potential to reduce inequities in diabetes risk and overall diabetes burden.

SUBMITTER: Lu K

PROVIDER: S-EPMC11368776 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature

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Publications

Predictive Modelling of Diabetes Risk in Population Groups Defined by Socioeconomic and Lifestyle Factors in Canada: A Cross-Sectional Study.

Lu Katherine K Kornas Kathy K Rosella Laura C LC

International journal of public health 20240820

<h4>Objectives</h4>This study modelled diabetes risk for population groups in Canada defined by socioeconomic and lifestyle characteristics and investigated inequities in diabetes risk using a validated population risk prediction algorithm.<h4>Methods</h4>We defined population groups, informed by determinants of health frameworks. We applied the Diabetes Population Risk Tool (DPoRT) to 2017/2018 Canadian Community Health Survey data to predict 10-year diabetes risk and cases across population gr ...[more]

PMID: 39229383

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Project description:BackgroundIn recent years, most Dutch general practitioners started working under the umbrella of diabetes care groups, responsible for the organisation and coordination of diabetes care. The quality management of these new organisations receives growing interest, although its association with quality of diabetes care is yet unclear. The best way to measure quality management is unknown and it has not yet been studied at the level of outpatient clinics or care groups. We aimed to assess quality management of type 2 diabetes care in care groups and outpatient clinics.ResultsQuality management was measured with online questionnaires, containing six domains (see below). They were divided into 28 subdomains, with 59 (care groups) and 57 (outpatient clinics) questions respectively. The mean score of the domains reflects the overall score (0-100%) of an organisation. Two quality managers of all Dutch care groups and outpatient clinics were invited to fill out the questionnaire.Sixty care groups (response rate 61.9%) showed a mean score of 59.6% (CI 57.1-62.1%). The average score in 52 outpatient clinics (response rate 50.0%) was 61.9% (CI 57.5-66.8%).Mean scores on the six domains for care groups and outpatient clinics respectively were: 'organisation of care' 71.9% (CI 68.8-74.9%), 76.8% (CI 72.8-80.7%); 'multidisciplinary teamwork' 67.1% (CI 62.4-71.9%), 71.5% (CI 65.3-77.8%); 'patient centeredness' 46.7% (CI 42.6-50.7%), 62.5% (CI 57.7-67.2%); 'performance management' 63.3% (CI 61.2-65.3%), 50.9% (CI 44.2-57.5%); 'quality improvement policy' 52.6% (CI 49.2-56.1%), 50.9% (CI 44.6-57.3%); and 'management strategies' 56.0% (CI 51.4-60.7%), 59.0% (CI 52.8-65.2%). On subdomains, care groups scored highest on 'care program' (83.3%) and 'measured outcomes' (98.3%) and lowest on 'patient safety' (15.1%) and 'patient involvement' (17.7%). Outpatient clinics scored high on the presence of a 'diabetic foot team' (81.6%) and the support in 'self-management' (81.0%) and low on 'patient involvement' (26.8%) and 'inspection of medical file' (28.0%).ConclusionsThis nationwide assessment reveals that the level of quality management in diabetes care varies between several subdomains in both diabetes care groups and outpatient clinics.

Dataset Information

Predictive Modelling of Diabetes Risk in Population Groups Defined by Socioeconomic and Lifestyle Factors in Canada: A Cross-Sectional Study.

Objectives

Methods

Results

Conclusion

Publications

Predictive Modelling of Diabetes Risk in Population Groups Defined by Socioeconomic and Lifestyle Factors in Canada: A Cross-Sectional Study.

Similar Datasets

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