Important methodological issues, including the need for additional comparator datasets, the potential bias from missing data, and the impact of the "no improvement" rule, will need to be addressed and long term follow-up of all patients is essential to secure meaningful results.
However, as with every new technology, a number of methodological improvements and specific challenges need to be addressed.
These issues need to be addressed and improved concurrently with improvements in SBA attendance rates.
Furthermore, important issues of improvements in basic training of these professions need to be addressed, and professional development and post-graduate education are required in varying degrees.
However, to broadly use this technology in agriculture in the future, some issues need to be addressed and further improvements of these systems may be needed.
However, several scientific issues need to be addressed and the clarity of the presentation requires significant improvement.
If the astonishing rate of improvement in computer performance, measured in both speed and density, is to continue, these issues will need to be addressed.
However, several areas for improvement need to be addressed, including improving availability of information, education, and communication (IEC) materials, providing more frequent supportive supervision, and providing immediate feedback after each supervision visit.
