SHORT COURSE – DATA MANAGEMENT AND ANALYSIS IN BIOMEDICAL RESEARCH/HEALTH ECONOMICS

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
Prof. Okojie Obehi speaking on the objectives of the Short Course.
Prof. Okojie Obehi, Co-Center Leader (CERHI) speaking on the objectives of the Short Course.
  1. ·         To build capacity of staff and students in managing and analyzing qualitative and quantitative data in reproductive health
  2. ·         To empower organizations in data management.
  3. ·         To train researchers in issues of reproductive health.
  4. ·         To provide examples of high quality studies and research data in reproductive analysis.
  5. ·         To obtain hands-on-experience in the use of specific computer software for the analysis of qualitative and quantitative data I reproductive health.
  6. ·         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
Prof. Okojie Obehi speaking on the objectives of the Short Course.
Prof. F. Okonofua, Center Leader (CERHI) speaking on Quality Data Management and Analysis.

 

  1. 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 :
  1. ·         Technical competency
  2. ·         Women (clients) place emphasis on human elements of care.
  3. ·         Program managers focus on support systems such as logistics and record keeping.
  4. ·         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:
  1. ·         Choice of RH treatment or prevention methods
  2. ·         Quality of information given to patients
  3. ·         Technical Competence
  4. ·         Inter-Personal relationships
  5. ·         Continuity and follow-up
  6. ·         Appropriate  Constellation of services
MEASURING QUALITY OF CARE (QOC)
Some tools for measuring QOC:
  1. ·         Point of Service data collection useful for longitudinal measures
  2. ·         Service Availability Modules (SAM)-an addition to DHS
  3. ·         Situation Analysis (SA)-the population control
  4. ·         Service-Provision Assessments (SPA)-a combination of SAM and SA (Measure Evaluation 2002).
  1.           Other Uses of Data In RH
  2. ·         To inform policy-making
  3. ·         To guide accurate program development
  4. ·         For evidence based advocacy
Evidenced-Based Advocacy
  1. ·         Essential to ensure that policy makers and other stakeholders act in essential RH info.
  2. ·         Reasons for non-action are often due to lack of accurate information.
How To Ensure  Data Accuracy and Effectiveness
  1. ·         Use of good research designs and appropriate research methods.
  2. ·         Ensuring appropriate data collection method
  3. ·         Proper Data Collection and analysis
  4. ·         Accurate results presentation in a simplified manner
  5. ·         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

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Prof. F. Okonofua, Center Head, CERHI, Speaking
Prof. F. Okonofua, Center Head, CERHI, Speaking
A section of the participants
A section of the participants
A participants participating in the Question and Answers session.
A participants participating in the Question and Answers session.