Use of poverty indicators and the poverty pyramid for agricultural and rural development in the smallholder sector in Sri Lanka

Based on official micro-level poverty studies for agricultural and rural development in the smallholder sector of Sri Lanka. The Poverty Pyramid was found to be a powerful tool for poverty analysis and the design of poverty alleviation strategies that are targeted at sustained poverty alleviation. Identification of the correct target groups by factors that prevent them from being more productive in their income generation activities is crucial to the formulation of rural development programs that benefit poor people first and most.

Identification of implicit technical relationships in overlapping networks

Overlapping network techniques to expand the single sequential finish-to-start relationship between preceding and succeeding activities in scheduling construction projects have been developed for decades. The hidden logic relationships between activities and two virtual activities, Start and Finish, however limit the applications of these techniques in practice as they may lead to incorrect time parameters of some activities. In this research, a novel approach has been developed to identify those concealed relationships in a structured procedure by a two-dimensional nested diagram. An empirical study was carried out to demonstrate the network modification approach.

The resident assessment instrument-minimum data set 2.0 quality indicators : a systematic review

Background
The Resident Assessment Instrument-Minimum Data Set (RAI-MDS) 2.0 is designed to collect the minimum amount of data to guide care planning and monitoring for residents in long-term care settings. These data have been used to compute indicators of care quality. Use of the quality indicators to inform quality improvement initiatives is contingent upon the validity and reliability of the indicators. The purpose of this review was to systematically examine published and grey research reports in order to assess the state of the science regarding the validity and reliability of the RAI-MDS 2.0 Quality Indicators (QIs).

Methods
We systematically reviewed the evidence for the validity and reliability of the RAI-MDS 2.0 QIs. A comprehensive literature search identified relevant original research published, in English, prior to December 2008. Fourteen articles and one report examining the validity and/or reliability of the RAI-MDS 2.0 QIs were included.

Results
The studies fell into two broad categories, those that examined individual quality indicators and those that examined multiple indicators. All studies were conducted in the United States and included from one to a total of 209 facilities. The number of residents included in the studies ranged from 109 to 5758. One study conducted under research conditions examined 38 chronic care QIs, of which strong evidence for the validity of 12 of the QIs was found. In response to these findings, the 12 QIs were recommended for public reporting purposes. However, a number of observational studies (n=13), conducted in "real world" conditions, have tested the validity and/or reliability of individual QIs, with mixed results. Ten QIs have been studied in this manner, including falls, depression, depression without treatment, urinary incontinence, urinary tract infections, weight loss, bedfast, restraint, pressure ulcer, and pain. These studies have revealed the potential for systematic bias in reporting, with under-reporting of some indicators and over-reporting of others.

Conclusion
Evidence for the reliability and validity of the RAI-MDS QIs remains inconclusive. The QIs provide a useful tool for quality monitoring and to inform quality improvement programs and initiatives. However, caution should be exercised when interpreting the QI results and other sources of evidence of the quality of care processes should be considered in conjunction with QI results.

Quality nephrology nursing care : beyond Kt/V

Ask nephrology nurses about the care in their hemodialysis units and they will probably say that high quality care is provided. This perception may reflect a genuine pride in their own and their colleagues' hemodialysis services, however, the meaning of high quality dialysis care remains unclear. Quality is often framed in terms of the high percentage of patients receiving a Kt/V of greater than 1.2 or 1.4. The unfortunate inference here is that high quality hemodialysis care is defined as the waste clearing service of the urea molecule. Defining quality in this narrow way conflicts with the caring and compassionate nursing ethic. Furthermore, it places a high value on a single mathematically derived formula that ignores many other indicators of quality dialysis care. In this article, the authors examine some historical, political, and technical features of Kt/V and use the metaphor of a hangover to illustrate the overuse of Kt/V, arguing that nurses have embraced Kt/V at the expense of other core elements of dialysis nursing care.