This CDSS guideline is intended for cervical cancer screening in low resoource based communities with a high incidence of HIV. The guide can be used in a real hospital setting to help nurses and clinicians to refer elligible women for cirvical cancer screening. At the time of the publications below, of which I co-authored the first publication, the guiline was to test only women between the ranges of 20 to 49, while at present this has been changed to women of ages between 25 and 49. As the principle CDSS software architect of Malawi's first cervical cancer app I was guided by doctors who came up with a flow chart of the CDSS that I used to create the app and the two publications below are evidence of the positive impact, unfortunately the organization that introduced this app closed and the app is no longer functional or supported, hence this simple app can go a long way to help low income countries overcome cervical cancer, which Malawi has the highest incidence and mortality rates in the world. References: https://www.ncbi.nlm.nih.gov/pubmed/30627358 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307048/ https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-016-3530
This CDSS guideline is to help medical staff in identifying women illegible for VIA before it's too late. Previously the Malawi guideline was to screen women between the ages of 20 and 49 but that has as of late changed to 25 and 49. The preferred target group is HIV positive women as they have a higher risk than the general population.
The intended use is in low income countires where VIA treatment is done with Cryotherapy or cold coagulation. In these low income countries there is usaully not enough trained personnel with knowledge of cervical cancer or established ways of identifying candidtes for screening; hence A CDSS tool like this one can brigde the gap in tow ways; firstly, providing assistance in hospitals without adequate trained personnel and secondly, ensuring that no one who is at high risk of cervical cancer misses a referral. From experience, such low income countries have no verified way of determining the exact date of birth of patients, coupled with illiteracy; most patients do not know there exact date of birth hence medical personnel tend to prefer estimates in years as opposed to exact dates. This is why it made sense to use a new age (in years) architype as opposed to re-using the date of birth architype already found in the models. In other words, every aspect of design has taken into consideration the context in which the CDSS app will be deployed in.