Hosseinpoor Ahmad Reza, Nambiar Devaki, Schlotheuber Anne, Reidpath Daniel, Ross Zev
World Health Organization, 20 Avenue Appia, 1211, Geneva 27, Switzerland.
Public Health Foundation of India, 47, Sector 44, Gurgaon, 122002, India.
BMC Med Res Methodol. 2016 Oct 19;16(1):141. doi: 10.1186/s12874-016-0229-9.
It is widely recognised that the pursuit of sustainable development cannot be accomplished without addressing inequality, or observed differences between subgroups of a population. Monitoring health inequalities allows for the identification of health topics where major group differences exist, dimensions of inequality that must be prioritised to effect improvements in multiple health domains, and also population subgroups that are multiply disadvantaged. While availability of data to monitor health inequalities is gradually improving, there is a commensurate need to increase, within countries, the technical capacity for analysis of these data and interpretation of results for decision-making. Prior efforts to build capacity have yielded demand for a toolkit with the computational ability to display disaggregated data and summary measures of inequality in an interactive and customisable fashion that would facilitate interpretation and reporting of health inequality in a given country.
To answer this demand, the Health Equity Assessment Toolkit (HEAT), was developed between 2014 and 2016. The software, which contains the World Health Organization's Health Equity Monitor database, allows the assessment of inequalities within a country using over 30 reproductive, maternal, newborn and child health indicators and five dimensions of inequality (economic status, education, place of residence, subnational region and child's sex, where applicable).
RESULTS/CONCLUSION: HEAT was beta-tested in 2015 as part of ongoing capacity building workshops on health inequality monitoring. This is the first and only application of its kind; further developments are proposed to introduce an upload data feature, translate it into different languages and increase interactivity of the software. This article will present the main features and functionalities of HEAT and discuss its relevance and use for health inequality monitoring.
人们普遍认识到,不解决不平等问题,即人口亚组之间的差异,就无法实现可持续发展。监测健康不平等有助于识别存在主要群体差异的健康主题、为改善多个健康领域而必须优先考虑的不平等维度,以及多重处境不利的人群亚组。虽然用于监测健康不平等的数据可得性正在逐步改善,但在各国,相应地需要提高分析这些数据以及解读结果以供决策的技术能力。先前的能力建设努力催生了对一种工具包的需求,该工具包应具备以交互式和可定制的方式展示分类数据和不平等汇总指标的计算能力,从而便于解读和报告特定国家的健康不平等情况。
为满足这一需求,2014年至2016年期间开发了健康公平评估工具包(HEAT)。该软件包含世界卫生组织的健康公平监测数据库,可利用30多项生殖、孕产妇、新生儿和儿童健康指标以及五个不平等维度(经济状况、教育程度、居住地点、次国家级区域以及适用情况下的儿童性别)评估一个国家内的不平等情况。
结果/结论:2015年,作为正在进行的健康不平等监测能力建设研讨会的一部分,对HEAT进行了测试。这是同类中的首个也是唯一的应用程序;建议进一步开发,引入上传数据功能,将其翻译成不同语言,并提高软件的交互性。本文将介绍HEAT的主要特征和功能,并讨论其与健康不平等监测的相关性及用途。