five

Service Delivery Indicators Health Survey 2014 - Harmonized Public Use Data - Mozambique

收藏
microdata.worldbank.org2021-04-01 更新2025-01-09 收录
下载链接:
https://microdata.worldbank.org/index.php/catalog/3876
下载链接
链接失效反馈
官方服务:
资源简介:
Abstract --------------------------- The Service Delivery Indicators (SDI) are a set of health and education indicators that examine the effort and ability of staff and the availability of key inputs and resources that contribute to a functioning school or health facility. The indicators are standardized, allowing comparison between and within countries over time. The Health SDIs include healthcare provider effort, knowledge and ability, and the availability of key inputs (for example, basic equipment, medicines and infrastructure, such as toilets and electricity). The indicators provide a snapshot of the health facility and assess the availability of key resources for providing high quality care. The Mozambique SDI Health survey team visited a sample of 195 health facilities across Mozambique between April and June 2014. The survey team collected rosters covering 2,972 workers for absenteeism and assessed 694 health workers for competence using patient case simulations. Geographic coverage --------------------------- National Analysis unit --------------------------- Health facilities and healthcare providers Universe --------------------------- All health facilities providing primary-level care Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- The sampling strategy for SDI surveys is designed towards attaining indicators that are accurate and representative at the national level, as this allows for proper cross-country (i.e. international benchmarking) and across time comparisons, when applicable. In addition, other levels of representativeness are sought to allow for further disaggregation (rural/urban areas, public/private facilities, subregions, etc.) during the analysis stage. The sampling strategy for SDI surveys follows a multistage sampling approach. The main units of analysis are facilities (schools and health centers) and providers (health and education workers: teachers, doctors, nurses, facility managers, etc.). The multi-stage sampling approach makes sampling procedures more practical by dividing the selection of large populations of sampling units in a step-by-step fashion. After defining the sampling frame and categorizing it by stratum, a first stage selection of sampling units is carried out independently within each stratum. Often, the primary sampling units (PSU) for this stage are cluster locations (e.g. districts, communities, counties, neighborhoods, etc.) which are randomly drawn within each stratum with a probability proportional to the size (PPS) of the cluster (measured by the location’s number of facilities, providers or pupils). Once locations are selected, a second stage takes place by randomly selecting facilities within location (either with equal probability or with PPS) as secondary sampling units. At a third stage, a fixed number of health and education workers and pupils are randomly selected within facilities to provide information for the different questionnaire modules. Detailed information about the specific sampling process is available in the associated SDI Country Report included as part of the documentation that accompany these datasets. Mode of data collection --------------------------- Face-to-face [f2f] Research instrument --------------------------- The SDI Health Survey Questionnaire consists of four modules and weights: Module 1: General Information - Administered to the health facility manager to collect information on equipment, medicines, infrastructure and other facets of the health facility. Module 2: Provider Absence - A roster of healthcare providers is collected and absence measured. Module 3: Clinical Vignettes – A selection of providers are given clinical vignettes to measure knowledge of common medical conditions. Module 4: Facility finances – Information on facility revenue and expenditures is collected from the health facility manager. Weights: Weights for facilities, absentee-related analyses and clinical vignette analyses. Cleaning operations --------------------------- Quality control was performed in Stata.

服务交付指标(SDI)是一套评估学校或卫生设施运行所必需的员工努力与能力,以及关键投入和资源可用性的健康和教育指标。这些指标经过标准化处理,使得国家间以及国家内部随时间的变化可以进行对比。健康SDI涵盖了医疗服务提供者的努力、知识与能力,以及关键投入(例如基本设备、药品和基础设施,如厕所和电力)的可用性。这些指标提供了一个卫生设施的概览,并评估了提供高质量护理的关键资源可用性。莫桑比克SDI健康调查团队于2014年4月至6月间,对莫桑比克195个卫生设施进行了抽样调查。调查团队收集了涵盖2,972名工作人员的名单,以评估出勤率,并使用患者病例模拟来评估694名卫生工作人员的专业能力。 地理覆盖范围 --------------------------- 全国 分析单元 --------------------------- 卫生设施和医疗服务提供者 总体 --------------------------- 提供初级保健的所有卫生设施 数据类型 --------------------------- 样本调查数据 [ssd] 抽样程序 --------------------------- SDI调查的抽样策略旨在获得在全国范围内准确且具有代表性的指标,因为这允许进行跨国家(即国际基准)和时间比较(如果适用)。此外,还寻求其他层次的代表性,以便在分析阶段进行进一步的数据分层(农村/城市地区、公立/私立设施、次区域等)。SDI调查的抽样策略遵循多阶段抽样方法。主要分析单元为设施(学校和卫生中心)和提供者(卫生和教育工作者:教师、医生、护士、设施经理等)。多阶段抽样方法通过逐步选择大样本群体的抽样单元,使得抽样程序更加实际。在定义抽样框架并按层分类后,在每个层内独立进行第一阶段抽样单元的选择。通常,这一阶段的主要抽样单元(PSU)是集群位置(例如地区、社区、县、邻里等),这些位置在每个层内以与集群规模(以位置内的设施、提供者或学生数量衡量)成比例的概率随机抽取。一旦选择了位置,第二阶段将通过随机选择位于位置内的设施(以等概率或以规模概率)作为次级抽样单元。在第三阶段,随机选择一定数量的卫生和教育工作者和学生,在设施内提供不同问卷模块的信息。有关特定抽样过程的详细资料可在随附的SDI国家报告中找到。 数据收集方式 --------------------------- 面对面 [f2f] 研究工具 --------------------------- SDI健康调查问卷由四个模块和权重组成: 模块1:一般信息 - 对卫生设施经理进行管理,以收集有关设备、药品、基础设施和其他卫生设施方面的信息。 模块2:提供者缺勤 - 收集医疗服务提供者的名单并测量其缺勤率。 模块3:临床案例 - 对部分提供者提供临床案例以衡量对常见医疗条件的知识。 模块4:设施财务 - 从卫生设施经理处收集有关设施收入和支出的信息。 权重:设施、与缺勤相关的分析和临床案例分析的权重。 数据清洗操作 --------------------------- 在Stata中进行质量控制。
提供机构:
microdata.worldbank.org
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作