Data-Informed Platform for Health (DIPH)
试验速览
- 阶段
- 不适用
- 入组人数
- 24
- 试验地点
- 1
- 主要终点
- 'Health Information System performance' Index
研究概览
简要总结
The overall aim of the Data-Informed Platform for Health (DIPH) is to improve Maternal, Newborn and Child Health (MNCH) programmes and services at the district level. The DIPH strategy does this by bringing together data on inputs and processes to promote the use of local data for decision-making, priority-setting, and planning by introducing a structured decision-making process at the district level.
The DIPH is embedded in the existing district decision-making forum- e.g., performance review teams meetings - adding a structured coordination process between different departments and formal data-sharing for evidence-based decision-making, planning, and resource allocation according to local health priorities. Conceptually, the DIPH strategy uses a structured set of processes involving five pre-defined steps and standardised job-aids corresponding to each step to facilitate linking data from health and associated departments and stakeholders. A typical DIPH cycle has five steps around a health theme, which take about four months to complete. Technical assistance is provided by the district stakeholders' induction, orientation, and handholding during the implementation of the initial cycles.
The DIPH job-aids - a set of standardised job-aids (paper forms or web-based interface) - are designed to help organise and interpret data from multiple sectors involved in delivering services around the chosen theme using a common data-sharing platform. They are aimed at district leadership and management teams systematically using, inputting and processing data for decision-making, planning and progress monitoring of the theme.
In Ethiopia, the DIPH intervention research will be employed for four cycles in the North Shoa zone (12 intervention and 12 comparison districts), coupled with process evaluation to understand and improve ongoing implementation issues. In addition, for the impact evaluation of DIPH implementation, a before-and-after comparison of the study outcomes between intervention and comparison study arms will be carried out via district health administration surveys.
This study is a collaboration between the Ethiopian Public Health Institute (EPHI) and the London School of Hygiene and Tropical Medicine (LSHTM).
详细描述
The overall purpose of the Data-Informed Platform for Health - or DIPH - is to improve MNCH programmes and services through data-driven decision-making at the district level. It is a strategy for strengthening health systems. The DIPH does this by bringing together various stakeholders into a single platform and facilitating their understanding and use of key district-level data.
Our focus is MNCH, although the DIPH concept has broad applicability. The primary objectives of the DIPH are to promote the use of local data from programmatic activities for 1) decision-making, priority-setting and planning at the district health administration level; and 2) appraisal of health services and programmes. The DIPH approach will regularly bring governmental and non-governmental service providers to a common forum to share data according to an agreed plan and use the resulting information as a tool in priority-setting for resource allocation and needs assessment for further acquiring funds.
A district is considered an operating unit for the DIPH based on the assumption that this is the lowest administrative level of decision-making in a health system in Ethiopia. The DIPH concept has its roots in the 'District Evaluation Platform approach.' The DIPH does not try to reinvent the wheel - it is embedded in decision-making procedures that already exist at the district level. DIPH adds a structured coordination process between the government and private stakeholders of formal data-sharing for evidence-based decision-making, planning and resource allocation. Moreover, the DIPH is conducted in accordance with local health priorities.
The DIPH is delivered as a package of job aids and guidelines. Structurally, the box is made up of three main elements: Firstly, it involves the grouping of stakeholders who are brought together to deliberate on issues in a virtual platform facilitated by regular meetings. The membership of this virtual platform is flexible and responds to the needs of the problems in focus. Secondly, the DIPH package facilitates these stakeholder meetings in five steps: Assessment, Engagement, Definition, Planning and Follow-up. These five steps together makeup one whole cycle of the DIPH and, in practice, take 3-4 months to complete. Each cycle looks at a specific health theme, identified in the early stages of the cycle itself. Thirdly, the DIPH package also includes a digital interface where everyone involved in the process can regularly review data and check on progress.
Overall aim:
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- None
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •All districts in the North Shewa zone will be included in the study.
- •All managerial and administrative district staff.
排除标准
- •Study participants who do not consent will be excluded.
结局指标
主要结局
'Health Information System performance' Index
时间窗: From the randomization of districts to implementation of the DIPH intervention for 16 months (i.e immediately after completing the 4th DIPH cycle).
Conceptually: It refers to Behavioural (e.g. skills, attitudes, values, and motivation of the people who use data) and Technical (e.g. data collection processes, systems, and methods) determinants of the health information system at the district level. It is a survey-based assessment developed by Performance of Routine Information System Management (PRISM) Toolkit ( https://www.measureevaluation.org/resources/publications/tl-18-13/index.html). Operationally: the summary measures are created of the constructs 1) essential infrastructure for data management, 2) data diversity, 3)reporting timelines, 4) data-quality assessment mechanisms, and 5) data use motivation, i.e. summating the survey item's responses and converting scores to fall on a standardized scale of 0-100. Statistically, the difference-in-differences technique will be employed to compare the change in the outcome in the DIPH intervention arm versus the change occurring in the control arm to assess the net effect.
'Governance of data-driven decision-making' Index
时间窗: From the randomization of districts to implementation of the DIPH intervention for 16 months (i.e. immediately after completing the 4th DIPH cycle).
Conceptually: it refers to the Organizational determinants of health information system at the district level (i.e., information culture, structure, resources, and roles and responsibilities of key people who use data). It a survey-based assessment developed by Performance of Routine Information System Management (PRISM) Toolkit ( https://www.measureevaluation.org/resources/publications/tl-18-13/index.html). Operationally: the summary measures are created of the constructs 1) evidence-based decision-making, 2) participatory decision-making, 3) understanding value of data, 4) health system support for data-use/data-driven decision-making, and 5) accountability, i.e. by summating the survey item's responses and converting scores to fall on a standardized scale of 0-100. Statistically, the difference-in-differences technique will be employed to compare the change in the outcome in the DIPH intervention arm versus the change occurring in the control arm to assess the net effect.
次要结局
未报告次要终点
研究者
Bilal Iqbal Avan
Associate Professor
London School of Hygiene and Tropical Medicine