Gender inequalities in cardiovascular risk factor assessment and management in primary healthcare

Karice Hyun; Julie Redfern; Anushka Patel; David Peiris; David Brieger; David Sullivan; Mark Harris; Tim Usherwood; Stephen MacMahon; Marilyn Lyford; Mark Woodward

doi:10.1136/heartjnl-2016-310216

Gender inequalities in cardiovascular risk factor assessment and management in primary healthcare

Karice Hyun, Julie Redfern, Anushka Patel, David Peiris, David Brieger, David Sullivan, Mark Harris, Tim Usherwood, Stephen MacMahon, Marilyn Lyford, Mark Woodward

Research output: Contribution to journal › Article › peer-review

102 Citations (Scopus)

Abstract

Objectives: To quantify contemporary differences in cardiovascular disease (CVD) risk factor assessment and management between women and men in Australian primary healthcare services. Methods: Records of routinely attending patients were sampled from 60 Australian primary healthcare services in 2012 for the Treatment of Cardiovascular Risk using Electronic Decision Support study. Multivariable logistic regression models were used to compare the rate of CVD risk factor assessment and recommended medication prescriptions, by gender. Results: Of 53 085 patients, 58% were female. Adjusting for demographic and clinical characteristics, women were less likely to have sufficient risk factors measured for CVD risk assessment (OR (95% CI): 0.88 (0.81 to 0.96)). Among 13 294 patients (47% women) in the CVD/high CVD risk subgroup, the adjusted odds of prescription of guideline-recommended medications were greater for women than men: 1.12 (1.01 to 1.23). However, there was heterogeneity by age ( p

Original language	English
Pages (from-to)	500-506
Number of pages	7
Journal	Heart
Volume	103
Issue number	7
DOIs	https://doi.org/10.1136/heartjnl-2016-310216
Publication status	Published - 1 Apr 2017

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10.1136/heartjnl-2016-310216

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abstract = "Objectives: To quantify contemporary differences in cardiovascular disease (CVD) risk factor assessment and management between women and men in Australian primary healthcare services. Methods: Records of routinely attending patients were sampled from 60 Australian primary healthcare services in 2012 for the Treatment of Cardiovascular Risk using Electronic Decision Support study. Multivariable logistic regression models were used to compare the rate of CVD risk factor assessment and recommended medication prescriptions, by gender. Results: Of 53 085 patients, 58% were female. Adjusting for demographic and clinical characteristics, women were less likely to have sufficient risk factors measured for CVD risk assessment (OR (95% CI): 0.88 (0.81 to 0.96)). Among 13 294 patients (47% women) in the CVD/high CVD risk subgroup, the adjusted odds of prescription of guideline-recommended medications were greater for women than men: 1.12 (1.01 to 1.23). However, there was heterogeneity by age ( p ",

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AU - Hyun, Karice

AU - Redfern, Julie

AU - Patel, Anushka

AU - Peiris, David

AU - Brieger, David

AU - Sullivan, David

AU - Harris, Mark

AU - Usherwood, Tim

AU - MacMahon, Stephen

AU - Lyford, Marilyn

AU - Woodward, Mark

PY - 2017/4/1

Y1 - 2017/4/1

N2 - Objectives: To quantify contemporary differences in cardiovascular disease (CVD) risk factor assessment and management between women and men in Australian primary healthcare services. Methods: Records of routinely attending patients were sampled from 60 Australian primary healthcare services in 2012 for the Treatment of Cardiovascular Risk using Electronic Decision Support study. Multivariable logistic regression models were used to compare the rate of CVD risk factor assessment and recommended medication prescriptions, by gender. Results: Of 53 085 patients, 58% were female. Adjusting for demographic and clinical characteristics, women were less likely to have sufficient risk factors measured for CVD risk assessment (OR (95% CI): 0.88 (0.81 to 0.96)). Among 13 294 patients (47% women) in the CVD/high CVD risk subgroup, the adjusted odds of prescription of guideline-recommended medications were greater for women than men: 1.12 (1.01 to 1.23). However, there was heterogeneity by age ( p

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Gender inequalities in cardiovascular risk factor assessment and management in primary healthcare

Abstract

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