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Introduction of publicly funded pharmacare and socioeconomic disparities in glycemic management in children and youth with type 1 diabetes in Ontario, Canada: a population-based trend analysis

BACKGROUND: We evaluated the impact of publicly funded pharmacare (Ontario Health Insurance Plan [OHIP]+), which was introduced in Ontario on Jan. 1, 2018, for youth less than 25 years of age, on temporal trends in hemoglobin A(1c) (HbA(1c), a measure of glycemic management) and the differential eff...

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Detalles Bibliográficos
Autores principales: Giruparajah, Mohana, Everett, Karl, Shah, Baiju R., Austin, Peter C., Fuchs, Shai, Shulman, Rayzel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CMA Impact Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343121/
https://www.ncbi.nlm.nih.gov/pubmed/35700995
http://dx.doi.org/10.9778/cmajo.20210214
Descripción
Sumario:BACKGROUND: We evaluated the impact of publicly funded pharmacare (Ontario Health Insurance Plan [OHIP]+), which was introduced in Ontario on Jan. 1, 2018, for youth less than 25 years of age, on temporal trends in hemoglobin A(1c) (HbA(1c), a measure of glycemic management) and the differential effect on the change in temporal trends in HbA(1c) according to socioeconomic status (SES). METHODS: We conducted a trend analysis using administrative data sets. We included youth aged 21 years, 9 months or younger, residing in Ontario on Jan. 1, 2016, with diabetes diagnosed before age 15 years and before Jan. 1, 2015. We used claims for insulin to measure pharmacare use. We evaluated the change in HbA(1c) (%) per 90 days before (Jan. 1, 2016, to Dec. 31, 2017) the introduction of and during (Apr. 1, 2018, to Mar. 31, 2019) OHIP+ coverage, and the difference in the change in HbA(1c) according to SES, using segmented regression analysis. RESULTS: Of 9641 patients, 7041 (73.0%) made an insulin claim. We found a negligible difference in the temporal change in HbA(1c) during compared with before OHIP+ coverage that was not statistically significant (β estimate −0.0002, 95% confidence interval [CI] −0.0004 to 0.0000). The size of the effect was slightly greater in those individuals with the lowest SES than in those with the highest SES (β estimate −0.0008, 95% CI −0.0015 to −0.0001). INTERPRETATION: We found that the effect of OHIP+ on the change in HbA(1c) was slightly greater for youth in the lowest SES than for those in the highest SES. Our findings suggest that publicly funded pharmacare may be an effective policy tool to combat worsening socioeconomic disparities in diabetes care and outcomes.