Socioeconomic Inequity in the Screening and Treatment of Hypertension in Kenya: Evidence From a National Survey

被引:6
|
作者
Oyando, Robinson [1 ,2 ]
Barasa, Edwine [1 ,3 ]
Ataguba, John E. [2 ,4 ]
机构
[1] KEMRI Wellcome Trust Res Programme, Hlth Econ Res Unit, Nairobi, Kenya
[2] Univ Cape Town, Fac Hlth Sci, Sch Publ Hlth & Family Med, Hlth Econ Unit, Cape Town, South Africa
[3] Univ Oxford, Ctr Trop Med & Global Hlth, Nuffield Dept Med, Oxford, England
[4] Univ Manitoba, Max Rady Coll Med, Rady Fac Hlth Sci, Dept Community Hlth Sci, Winnipeg, MB, Canada
来源
基金
英国惠康基金; 芬兰科学院;
关键词
socioeconomic inequality; horizontal inequity; decomposition analysis; hypertension; Kenya; MIDDLE-INCOME COUNTRIES; NONCOMMUNICABLE DISEASES; HEALTH-CARE; CARDIOVASCULAR-DISEASE; CONCENTRATION INDEX; COST-EFFECTIVENESS; INEQUALITIES; SERVICES; COVERAGE; BINARY;
D O I
10.3389/frhs.2022.786098
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Non-communicable diseases (NCDs) account for 50% of hospitalisations and 55% of inpatient deaths in Kenya. Hypertension is one of the major NCDs in Kenya. Equitable access and utilisation of screening and treatment interventions are critical for reducing the burden of hypertension. This study assessed horizontal equity (equal treatment for equal need) in the screening and treatment for hypertension. It also decomposed socioeconomic inequalities in care use in Kenya. Methods: Cross-sectional data from the 2015 NCDs risk factors STEPwise survey, covering 4,500 adults aged 18-69 years were analysed. Socioeconomic inequality was assessed using concentration curves and concentration indices (CI), and inequity by the horizontal inequity (HI) index. A positive (negative) CI or HI value suggests a pro-rich (pro-poor) inequality or inequity. Socioeconomic inequality in screening and treatment for hypertension was decomposed into contributions of need [age, sex, and body mass index (BMI)] and non-need (wealth status, education, exposure to media, employment, and area of residence) factors using a standard decomposition method. Results: The need for hypertension screening was higher among poorer than wealthier socioeconomic groups (CI = -0.077; p < 0.05). However, wealthier groups needed hypertension treatment more than poorer groups (CI = 0.293; p <0.001). Inequity in the use of hypertension screening (HI = 0.185; p < 0.001) and treatment (HI = 0.095; p < 0.001) were significantly pro-rich. Need factors such as sex and BMI were the largest contributors to inequalities in the use of screening services. By contrast, non-need factors like the area of residence, wealth, and employment status mainly contributed to inequalities in the utilisation of treatment services. Conclusion: Among other things, the use of hypertension screening and treatment services in Kenya should be according to need to realise the Sustainable Development Goals for NCDs. Specifically, efforts to attain equity in healthcare use for hypertension services should be multi-sectoral and focused on crucial inequity drivers such as regional disparities in care use, poverty and educational attainment. Also, concerted awareness campaigns are needed to increase the uptake of screening services for hypertension.
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页数:13
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