Access to and value of information to support good practice for staff in Kenyan hospitals.

BACKGROUND: Studies have sought to define information needs of health workers within very specific settings or projects. Lacking in the literature is how hospitals in low-income settings are able to meet the information needs of their staff and the use of information communication technologies (ICT) in day-to-day information searching. OBJECTIVE: The study aimed to explore where professionals in Kenyan hospitals turn to for work-related information in their day-to-day work. Additionally, it examined what existing solutions are provided by hospitals with regard to provision of best practice care. Lastly, the study explored the use of ICT in information searching. DESIGN: Data for this study were collected in July 2012. Self-administered questionnaires (SAQs) were distributed across 22 study hospitals with an aim to get a response from 34 health workers per hospital. RESULTS: SAQs were collected from 657 health workers. The most popular sources of information to guide work were fellow health workers and printed guidelines while the least popular were scientific journals. Of value to health workers were: national treatment policies, new research findings, regular reports from surveillance data, information on costs of services and information on their performance of routine clinical tasks; however, hospitals only partially met these needs. Barriers to accessing information sources included: 'not available/difficult to get' and 'difficult to understand'. ICT use for information seeking was reported and with demographic specific differences noted from the multivariate logistic regression model; nurses compared to medical doctors and older workers were less likely to use ICT for health information searching. Barriers to accessing Internet were identified as: high costs and the lack of the service at home or at work. CONCLUSIONS: Hospitals need to provide appropriate information by improving information dissemination efforts and providing an enabling environment that allows health workers find the information they need for best practice

Women health extension workers: Capacities, opportunities and challenges to use eHealth to strengthen equitable health systems in Southern Ethiopia

OBJECTIVES: This study assesses the feasibility of female health extension workers (HEWs) using eHealth within their core duties, supporting both the design and capacity building for an eHealth system project focussed initially on tuberculosis, maternal child health, and gender equity. PARTICIPANTS: Health extension workers, Health Centre Heads, District Health Officers, Zonal Health Department and Regional Health Bureau representatives in Southern Ethiopia. SETTING: The study was undertaken in Southern Ethiopia with three districts in Sidama zone (population of 3.5 million) and one district in Gedeo zone (control zone with similar health service coverage and population density). METHODS: Mixed method baseline data collection was undertaken, using quantitative questionnaires (n = 57) and purposively sampled qualitative face-to-face semi-structured interviews (n = 10) and focus group discussions (n = 3). RESULTS: Themes were identified relating to HEW commitment and role, supervision, and performance management. The Health Management Information System (HMIS) was seen as important by all participants, but with challenges of information quality, accuracy, reliability and timeliness. Participants' perceptions varied by group regarding the purpose and benefits of HMIS as well as the potential of an eHealth system. Mobile phones were used regularly by all participants. CONCLUSION: eHealth technology presents a new opportunity for the Ethiopian health system to improve data quality and community health. Front-line female HEWs are a critical bridge between communities and health systems. Empowering HEWs, supporting them and responding to the challenges they face will be an important part of ensuring the sustainability and responsiveness of eHealth strategies. Findings have informed the subsequent eHealth technology design and implementation, capacity strengthening approach, supervision, and performance management approach

A software tool ‘CroCo’ detects pervasive cross-species contamination in next generation sequencing data

International audienceBackground: Multiple RNA samples are frequently processed together and often mixed before multiplex sequencing in the same sequencing run. While different samples can be separated post sequencing using sample barcodes, the possibility of cross contamination between biological samples from different species that have been processed or sequenced in parallel has the potential to be extremely deleterious for downstream analyses