Hi Emeka,

Thank you for your interest in the CLIP trial in Nigeria. At this point, there is not much work to do on the Scheme side for the trial as the pilot is already taking place. The lambdanative app is being used by the community health extension workers (CHEWs) within the primary healthcare facilities which pregnant women regularly visit. The trial is taking place in Ogun State and based out of Sagamu. If you are close to this location in Nigeria, then we can talk about possible ways to help off the list. At the moment we don’t know if any help is needed there.

A good way to help is simply to spread the word, and raise awareness about what we are doing. This is the link to the Nigerian portion of the trial:
 https://pre-empt.cfri.ca/treatment/clip-nigeria

Chris


On Apr 12, 2014, at 10:36 AM, Emeka <emekamicro@gmail.com> wrote:

I am a Nigerian, living in Nigeria. Is there a way I could really support?

Emeka

On Apr 12, 2014 5:47 PM, "Petersen, Chris" <CPetersen@cw.bc.ca> wrote:

Hi fellow gambitters,

Some of you may have heard of our use of Gambit-based mobile health applications for clinical trials in low income countries. We’d like to announce that our biggest project so far, Community Level Interventions for Pre-Eclampsia (CLIP) has now entered the pilot phase in India, Pakistan and Nigeria. The trial uses a gambit-based mobile diagnostic tool to identify pregnant women with a high risk of adverse events (such as a stroke or seizures) occurring due to pre-eclampsia, a disease that is responsible for about 75,000 women and 500,000 infants dying every year.  Once completed a total of 40,000 pregnant women will be screened under the trial. Of these, several thousand are expected to develop pre-eclampsia, so there is a very real potential for saving lives. In fact, we are already hearing of women testing positive in the pilot, and being sent to hospital thanks to the diagnostics in the Gambit/LambdaNative application.

For those interested, there is now an open access paper available that describes different aspects of the Gambit-based software:
http://dx.doi.org/10.1109/JBHI.2014.2301156

While I’m at it, the devices currently used for this particular trial (low-cost locally sourced Android phones) come without sensors. However, we would like to use pulse oximeter sensors with the phones as this will make the decision support algorithms more powerful. The technology is here, and UBC has recently started hosting a funding drive to bring it out there to those who need it:
http://thesensorproject.org

Please take a look and spread the word if you want to help us save lives and see Scheme - and Gambit in particular - used where it matters most.

Chris
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