Predictors of hypertension detection in English general practices: a cross sectional study. (13th January 2021)

• Record Type: Journal Article
• Authors: Levene, Louis S; Coles, Briana D; Gillies, Clare L; Shabnam, Sharmin; Zaccardi, Francesco; Khunti, Kamlesh
• Is Part Of: Journal of public health. Volume 44:Number 1(2022)
• Page Start: e1
• Page End: e9
• Publication Date: 2021-01-13
• Subjects: hypertension -- population -- prevalence -- primary health care; Public health -- Periodicals; Public health -- Great Britain -- Periodicals; Medical policy -- Periodicals; Medical policy -- Great Britain -- Periodicals; 362.1
• DOI: 10.1093/pubmed/fdaa224
• Languages: English
• ISSNs: 1741-3842

Abstract

Abstract: Background: Worldwide, high systolic blood pressure is the leading risk factor for deaths and disability-adjusted life-years but has been historically under-detected. This study aimed to quantify differences between estimated and practice-detected prevalences of hypertension across English general practices, and to determine how variations in detected prevalence could be explained by population-level and service-level factors. Methods: Descriptive statistics, pair wise correlations between the independent variables and a multivariable regression analysis were undertaken. In the regression model, the outcome was detected hypertension prevalence, adjusted for estimated prevalence, person-related and disease-related determinants of illness and characteristics of general practices. Results: Detected prevalence was substantially lower than estimated prevalence (mean difference 16.23%; standard deviation 2.88%). Higher detected prevalence was associated with increased deprivation, increased non-white ethnicity and urban location. Lower detected prevalence was associated with larger list sizes, more general practitioners and being located in the South outside London. The final multivariable model's adjusted R 2 value was 0.75. Conclusions: Substantial under-detection of hypertension is widespread across England. Independent of estimated prevalence, factors associated with greater morbidity and population density predicted higher detected prevalence. Identifying patients with undetected hypertension and coordinating care for these patients will require further resources and logistical support in community settings.