印度南部糖尿病的过度成本负担:一项基于临床的疾病成本比较研究。

IF 1.1 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Global Health Epidemiology and Genomics Pub Date : 2016-05-13 eCollection Date: 2016-01-01 DOI:10.1017/gheg.2016.2
K M Sharma, H Ranjani, A Zabetian, M Datta, M Deepa, C R Anand Moses, K M V Narayan, V Mohan, M K Ali
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引用次数: 17

摘要

背景:关于印度糖尿病的直接和间接成本的数据很少,关于农村糖尿病成本的数据也很有限。我们的目的是通过一项基于临床的比较疾病成本研究来进一步探讨糖尿病负担的这些方面。方法:从政府、私人和农村诊所招募糖尿病患者(n = 606),并将其与年龄、性别和社会经济地位相匹配的非糖尿病患者(n = 356)进行比较。我们使用访谈者管理的问卷来估计直接成本(门诊、住院、药物、实验室和程序)和间接成本(缺勤或工作效率低下)。超额费用计算为糖尿病患者和非糖尿病患者报告的费用之间的差异,并在不同情况下进行比较。使用回归分析分别确定与总直接和间接成本相关的因素。结果:私人诊所患者的年度超额直接成本最高(19,552印度卢比,425美元),政府诊所患者的年度超额直接成本最低(1204印度卢比,26.17美元)。私人诊所的患者因糖尿病而旷工最少(2.36个工作日/年),出勤最多(0.06个工作日/年)。政府诊所的出勤率最高(7.48个工作日/年),出勤率最低(-0.31个工作日/年)。糖尿病病程增加10年,直接成本增加11% (p p = 0.02),糖尿病病程延长(p结论:糖尿病患者的过度医疗支出和生产力损失是实质性的,并且在不同的护理环境中存在差异。印度需要创新的解决方案来应对糖尿病及其相关的成本负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Excess cost burden of diabetes in Southern India: a clinic-based, comparative cost-of-illness study.

Excess cost burden of diabetes in Southern India: a clinic-based, comparative cost-of-illness study.

Excess cost burden of diabetes in Southern India: a clinic-based, comparative cost-of-illness study.

Excess cost burden of diabetes in Southern India: a clinic-based, comparative cost-of-illness study.

Background: There are few data on excess direct and indirect costs of diabetes in India and limited data on rural costs of diabetes. We aimed to further explore these aspects of diabetes burdens using a clinic-based, comparative cost-of-illness study.

Methods: Persons with diabetes (n = 606) were recruited from government, private, and rural clinics and compared to persons without diabetes matched for age, sex, and socioeconomic status (n = 356). We used interviewer-administered questionnaires to estimate direct costs (outpatient, inpatient, medication, laboratory, and procedures) and indirect costs [absence from (absenteeism) or low productivity at (presenteeism) work]. Excess costs were calculated as the difference between costs reported by persons with and without diabetes and compared across settings. Regression analyses were used to separately identify factors associated with total direct and indirect costs.

Results: Annual excess direct costs were highest amongst private clinic attendees (INR 19 552, US$425) and lowest amongst government clinic attendees (INR 1204, US$26.17). Private clinic attendees had the lowest excess absenteeism (2.36 work days/year) and highest presenteeism (0.06 work days/year) due to diabetes. Government clinic attendees reported the highest absenteeism (7.48 work days/year) and lowest presenteeism (-0.31 work days/year). Ten additional years of diabetes duration was associated with 11% higher direct costs (p < 0.001). Older age (p = 0.02) and longer duration of diabetes (p < 0.001) were associated with higher total lost work days.

Conclusions: Excess health expenditures and lost productivity amongst individuals with diabetes are substantial and different across care settings. Innovative solutions are needed to cope with diabetes and its associated cost burdens in India.

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来源期刊
Global Health Epidemiology and Genomics
Global Health Epidemiology and Genomics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
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