A SHORT COURSE ON DATA MANAGEMENT AND ANALYSIS IN BIOMEDICAL RESEARCH/HEALTH ECONOMICS
DATE: 29TH – 31ST AUGUST, 2016
Short Course Objectives By Prof. Okojie Obehi
- · To build capacity of staff and students in managing and analyzing qualitative and quantitative data in reproductive health
- · To empower organizations in data management.
- · To train researchers in issues of reproductive health.
- · To provide examples of high quality studies and research data in reproductive analysis.
- · To obtain hands-on-experience in the use of specific computer software for the analysis of qualitative and quantitative data I reproductive health.
- · To build a network of researchers working together and sharing experiences in the issue of reproductive health.
WHY QUALITY DATA MANAGEMENT AND ANALYSIS IS ESSENTIAL FOR REPRODUCTIVE HEALTH INNOVATION
By Prof. Friday Okonofua
- The Lack of accurate data can lead to serious mistakes in decision making.
Innovation And RH
- -Innovation is defined as the process of creating new ideas, devices, and methods.
- -Innovation is not possible without accurate Data collected.
Definition of Quality of Care (QOC):
Definition of QOC is complex and includes :
- · Technical competency
- · Women (clients) place emphasis on human elements of care.
- · Program managers focus on support systems such as logistics and record keeping.
- · Policy-makers and donors are concerned with costs, efficiency, outcomes, and impacts in health investments.
2.) Without Accurate Data, No Suffucient data, no QOC can be Achieved!
The Bruce-Jain Framework of Quality of Care in RH
This Consist of components:
- · Choice of RH treatment or prevention methods
- · Quality of information given to patients
- · Technical Competence
- · Inter-Personal relationships
- · Continuity and follow-up
- · Appropriate Constellation of services
MEASURING QUALITY OF CARE (QOC)
Some tools for measuring QOC:
- · Point of Service data collection useful for longitudinal measures
- · Service Availability Modules (SAM)-an addition to DHS
- · Situation Analysis (SA)-the population control
- · Service-Provision Assessments (SPA)-a combination of SAM and SA (Measure Evaluation 2002).
- Other Uses of Data In RH
- · To inform policy-making
- · To guide accurate program development
- · For evidence based advocacy
- · Essential to ensure that policy makers and other stakeholders act in essential RH info.
- · Reasons for non-action are often due to lack of accurate information.
How To Ensure Data Accuracy and Effectiveness
- · Use of good research designs and appropriate research methods.
- · Ensuring appropriate data collection method
- · Proper Data Collection and analysis
- · Accurate results presentation in a simplified manner
- · Wide dissemination of the results.
CERHI`S Theory of Change On Data Managements
Good Data Collection → Good data management → Accurate Data Analysis → Simple Presentation of data and results → Wide spread dissemination of research results → Linkage with policy and industry =Effective RH Impact
OTHER PICTURES AT THE EVENT