Our one-to-three-year development plan for our outreach programs are predicated upon the concept of developing local villages, country and the international objectives needed, that will support the specific programs and services needed within the jurisdiction we operate within.
LIJIF uses the data research building block approach that remains constant throughout the life of our one-to-three-year development period per project. The building block approach ensures our continued, successful progression in providing our programs and services while meeting the evolving needs of our villages and communities.
LIJIF will create an experimental design that will provide quantitative measures in compliance with the Global Health Initiatives, PEPFAR and indigenous requirements.
Data collection and subsequent analysis will be reviewed by a third party firm (IRB) to determine statistical trends, relevant patterns of variance and statistical significance. This will include measures from each of the three focus areas of the project objectives. This includes the aforementioned areas:
-Training, Support and Resource Provider Empowerment & Health Centers
Quantitative measures include number of training hours, number of medical personnel hired and trained, number of treatment centers developed/supported and increase/decreases in numbers of indigenous patient served. The focus of measurements in this area is to show the increase in capability building, increase in population served and changes in the medical condition demographics.
-HIV/AIDS Prevention Educational Programs, Materials and Training
Quantitative measures include number of prevention products distributed such as microbicides for prevention, number of educational materials distributed and number of training class hours conducted including enrollment numbers.
-Orphan Support including School Supplies and Clothing
Quantitative measures include number of donations made in supplies and clothing, number of Orphans served and increases or changes in the enrollment numbers for relevant school systems after donation as an indicator of the success of the initiative.
The project would break naturally in to 4 stages: (1) data structures and collection (2) initial analysis and determination of relative data (3) observation and verification of indications (4) reporting and feedback mechanism.
Data would be analyzed using standard software analysis techniques including a series of factorial analysis of variance or ANOVA tests in order to use an experimental design that allows for comparison with multiple regression and factorial experiments to look for effects within and among the various project activities and data types collected.
Autocorrelation and other tests will be run to show that no time series bias exists either in the data or the collection process. We would work with an Institutional Review Board to review all human subject activities as well as to evaluate our design and findings prior to reporting findings to CDC and other government, and indigenous agencies.