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BMJ Open Qual ; 13(2)2024 May 28.
Article in English | MEDLINE | ID: mdl-38806206

ABSTRACT

The clinical quality improvement initiatives, led by the organisation's Health Equity Working Group (HEWG), aim to support healthcare providers to provide equitable, quality hypertension care worldwide. After coordinating with the India team, we started monitoring the deidentified patient data collected through electronic health records between January and May 2021. After stratifying data by age, sex and residence location, the team found an average of 55.94% of our hypertensive patients control their blood pressure, with an inequity of 11.91% between male and female patients.The objective of this study was to assess the effectiveness of using clinical quality improvement to improve hypertension care in the limited-resourced, mobile healthcare setting in Mumbai slums. We used the model for improvement, developed by Associates in Process Improvement. After 9-month Plan-Do-Study-Act (PDSA) cycles, the average hypertensive patients with controlled blood pressure improved from 55.94% to 89.86% at the endpoint of the initiative. The gender gap reduced significantly from 11.91% to 2.19%. We continued to monitor the blood pressure and found that the average hypertensive patients with controlled blood pressure remained stable at 89.23% and the gender gap slightly increased to 3.14%. Hypertensive patients have 6.43 times higher chance of having controlled blood pressure compared with the preintervention after the 9-month intervention (p<0.001).This paper discusses the efforts to improve hypertension care and reduce health inequities in Mumbai's urban slums. We highlighted the methods used to identify and bridge health inequity gaps and the testing of PDSA cycles to improve care quality and reduce disparities. Our findings have shown that clinical quality improvement initiatives and the PDSA cycle can successfully improve health outcomes and decrease gender disparity in the limited-resource setting.


Subject(s)
Healthcare Disparities , Hypertension , Poverty Areas , Quality Improvement , Humans , India , Hypertension/therapy , Male , Female , Healthcare Disparities/statistics & numerical data , Healthcare Disparities/standards , Middle Aged , Adult , Aged , Urban Population/statistics & numerical data
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