Pediatric antiretroviral adherence and child disclosure in Botswana

The scale-up of antiretrovirals (ARVs) to treat HIV/AIDS in Africa has been rapid over the last five years. Botswana was the first African nation to roll out a comprehensive ARV program, where ARVs are available to all citizens who qualify. Excellent adherence to these ARVs is necessary to maintain HIV suppression and on-going health of all individuals taking them. Children rely almost entirely on their caregivers for the administration of these medications, and very little research has been done to examine the factors which affect both adherence and disclosure to the child of their HIV status. ^ Methods. This cross-sectional study used multiple methods to examine adherence, disclosure, and stigma across various dimensions of the child and caregiver's lives, including 30 caregiver questionnaires, interviewer-administered 3-day adherence recalls, pharmacy pill counts, and chart reviews. Fifty in-depth interviews were conducted with caregivers, male caregivers, teenagers, and health care providers. ^ Results. Perceived family stigma was found to be a predictor of excellent adherence. After controlling for age, children who live with their mothers were significantly less likely to know their HIV status than children living with any other relative (OR=0.403, p=0.014). Children who have a grandmother living in the household or taking care of them each day are significantly more likely to have optimal adherence than children who don't have grandmother involvement in their daily lives. ^ Discussion. Visible illness plays an intermediary role between adherence and perceived family stigma: Caregivers know that ARVs suppress physical manifestations of HIV, and in an effort to avoid unnecessary disclosure of the child's status to family members, therefore have children with excellent adherence. Grandmothers play a vital role in supporting the care and treatment of children in Botswana. ^

A costing exercise of provision of prevention of HIV transmission from mother to child services in Vietnam

Objectives. This dissertation focuses on estimating the cost of providing a minimum package of prevention of mother-to-child HIV transmission (PMTCT) in Vietnam from a societal perspective and discussing the issues of scaling-up the minimum package nationwide. ^ Methods. Through collection of cost-related data of PMTCT services at 22 PMTCT sites in 5 provinces (Hanoi, Quang Ninh, Thai Nguyen, Hochiminh City, and An Giang) in Vietnam, the research investigates the item cost of each service in minimum PMTCT packages and the actual cost per PMTCT site at different organizational levels including central, provincial, and district. Next, the actual cost per site at each organizational level is standardized by adjusting for HIV prevalence rate to arrive at standardized costs per site. This study then uses the standardized costs per site to project, by different scenarios, the total cost to scale-up the PMTCT program in Vietnam. ^ Results. The cost for HIV tests, infant formula, and salary of health workers are consistently found to be the biggest expenditures in the PMTCT minimum package program across all organizational levels. Annual cost for drugs for prophylaxis treatment, operating and capital, and training costs are not substantial (less than 5% of total costs at all levels). The actual annual estimated cost for a PMTCT site at the central level is nearly VND 1.9 billion or US$ 107,650 (exchange rate US$ 1 = VND 17,500) while the annual cost for a provincial site is VND 375 million or US$ 21,400. The annual cost for a district site is VND 139 million (∼US$ 8,000). ^ The estimated total annual cost to roll out the PMTCT minimum package to the 5 studied provinces is approximately US$ 1.1 million. If the PMTCT program is to be scaled-up to 14 provinces until 2008 and up to 40 provinces through the end of 2010 as planned by the Ministry of Health, it would cost the health system an approximate annual amount of US$ 2.1 million and US$ 5.04 million, respectively. The annual cost for scaling-up the PMTCT minimum package nationwide is around US$ 7.6 million. Meanwhile, the total annual cost to implement PMTCT minimum packages to achieve PMTCT national targets in 2010 (providing counseling service to 90% of all pregnant women; 60% of them will receive HIV tests and 100% of HIV (+) mother and their newborn will receive prophylaxis treatment) would be US$ 6.1 million. ^ Recommendations. This study recommends: (1) the Ministry of Health of Vietnam should adjust its short-term national targets to a more feasible and achievable level given the current level of available resources; (2) a detailed budget for scaling-up the PMTCT program should be developed together with the national PMTCT action plan; (3) the PMTCT scaling-up plan developed by the Ministry of Health should focus on coverage of high prevalence population and quality of services provided rather than number of physical provinces reached; (4) exclusive breastfeeding strategy should be promoted as part of the PMTCT program; and (5) for a smooth and effective rolling out of PMTCT services nationwide, development of a national training plan and execution of this plan must precede any other initiations of the PMTCT scaling-up plan. ^

NETWORK TOPOLOGY IN HUMAN PROTEIN INTERACTION DATA PREDICTS FUNCTIONAL ASSOCIATION

High-throughput assays, such as yeast two-hybrid system, have generated a huge amount of protein-protein interaction (PPI) data in the past decade. This tremendously increases the need for developing reliable methods to systematically and automatically suggest protein functions and relationships between them. With the available PPI data, it is now possible to study the functions and relationships in the context of a large-scale network. To data, several network-based schemes have been provided to effectively annotate protein functions on a large scale. However, due to those inherent noises in high-throughput data generation, new methods and algorithms should be developed to increase the reliability of functional annotations. Previous work in a yeast PPI network (Samanta and Liang, 2003) has shown that the local connection topology, particularly for two proteins sharing an unusually large number of neighbors, can predict functional associations between proteins, and hence suggest their functions. One advantage of the work is that their algorithm is not sensitive to noises (false positives) in high-throughput PPI data. In this study, we improved their prediction scheme by developing a new algorithm and new methods which we applied on a human PPI network to make a genome-wide functional inference. We used the new algorithm to measure and reduce the influence of hub proteins on detecting functionally associated proteins. We used the annotations of the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) as independent and unbiased benchmarks to evaluate our algorithms and methods within the human PPI network. We showed that, compared with the previous work from Samanta and Liang, our algorithm and methods developed in this study improved the overall quality of functional inferences for human proteins. By applying the algorithms to the human PPI network, we obtained 4,233 significant functional associations among 1,754 proteins. Further comparisons of their KEGG and GO annotations allowed us to assign 466 KEGG pathway annotations to 274 proteins and 123 GO annotations to 114 proteins with estimated false discovery rates of <21% for KEGG and <30% for GO. We clustered 1,729 proteins by their functional associations and made pathway analysis to identify several subclusters that are highly enriched in certain signaling pathways. Particularly, we performed a detailed analysis on a subcluster enriched in the transforming growth factor β signaling pathway (P<10-50) which is important in cell proliferation and tumorigenesis. Analysis of another four subclusters also suggested potential new players in six signaling pathways worthy of further experimental investigations. Our study gives clear insight into the common neighbor-based prediction scheme and provides a reliable method for large-scale functional annotations in this post-genomic era.