 Everybody let's get started just because otherwise we won't have time for everything and we really want to get the presentation through because it's super interesting. So thank you everyone for joining us today and on the end of this session about these super creative implementations of DHS. So you can see the summary on the practice community this session is registered and you can ask questions in the chat. We will try to follow with you in the chat to see what the year is. So we will transfer several parts on the practice community and we will answer several questions. So you will see several discussions there you have the link and you will come here very quickly. We will start soon so we will start as it will be mentioned in the session plenary since 2017. The University of Oslo started to develop programs for implementation in several European countries. So there was a series of metadata and in terms of VH there is the configuration package of VH which is available when we call co-package because it is a package created and there are several information that allows everyone to be able to follow the questions. So thank you everyone. Today we are going to do the package we will talk about the implementation of the package VH in 27 countries and 4 underdeveloped countries. For those of you who are not aware, we are going to talk about the stock report of VH because IS2 is now used by several laboratories and who collect the data and also the OMS has given its support to allow us to also be able to take data at the level of the establishment. We also know that the programs are very complex in our countries and it is not very easy to take the data even with the IS2 so we always work with the OMS for the trackers of disagreements based on the case of VH. So we are always working very soon. We are going to start and if some countries are interested in proposals, we are not going to do that. For today, it was divided into two parts. The first two will focus on the strategies for adaptation of the IS2 trackers to be able to follow the program of VH. So it will be done by Kechab Deba and then we will see the use of the data and the follow-up and its application in general. Then there will be David Nassib, David Nesbitt who will talk to us about the adaptation of the standard metadata of the IS2 trackers and even of the post-vaccine and desirable Then we will address the question of Mozambique and Zimbabwe where Jenny Mwanza will make a very good explanation or a good presentation and also there is Neni Longu, our collaborator who will also share a program designed for teenagers and young girls in his country. Hello everyone, I'm Kechab Deba working as a strategic information specialist at National Center for IS and study control in Nepal and I'm pleased to present on behalf of the IS2 trackers and the theme of my presentation is the use of the IS2 for implementation and the delivery of services in the treatment of the IS2 trackers. So I present the concept of the IS2 approach for the delivery of services. In addition, I will explain how we can see an indicator and all these aspects when we use the data to track and put in place the data to be able to have a return. So what is this approach in the treatment of the IS2 trackers and this approach is put in place to be able to do a treatment of the IS2 trackers and see the efficiency of the system. And this approach has been a global approach that is going from one level to another level. So this deals with the different level of services in maintaining a relationship with the public health system. That is to say how much we can simplify the treatment services of the IS2 trackers, that is to say, the improvement of the health system is more important, so reducing the measures and also the health system. So these clients, these patients, who are given in these kinds of practices, often need to give themselves to frequent measures. So to be able to put in place this approach, it has not been easy because of the following challenges. For example, like the limited resources in several European countries, we also had to use papers that were difficult at the time that did not allow us to reach the given level. So at this level, we also did not have more than one treatment at a certain level. So to be able to stick to all these challenges and ensure implementation of the IS2 trackers in the treatment of the IS2 trackers. So in all, the services we are trying to put in place are based on the paper and reassured us of the implementation of the treatment system of the IS2 trackers. We have been able to put in place the IS2 trackers since 2017 in all the treatment centers of the IS2. And this allows us to monitor and minimize the risks related to this therapy. So our main goal in this system is how we can identify the patients, the clients, the clients, the judgements, and see how we can deal with their problems. So in general, to be able to coordinate these services, we have selected these instructors and we have put in place the targets that allow us to easily reach our goals. So for the indicators, we see the different indicators that have been put in place according to the level, the paint of the population that has been defined. Even sometimes when we do not reach this level, we always try to put in place a mechanism that reaches more and see what we can do to dispense the treatments, practice them, and make a virological solution to put in place the management system of the antiretrovirals. So we see here how we can calculate the percentage of patients. Here are the indicators that we can change. So I'm not going to go into detail about that. So if people want to use this in their country to be able to follow all these systems, they can do it. So here is the definition. So how do we put in place these goals? The patients who are transferred, the patients who are maintained for care. So all this is just for references. And what is the target? So how do we put in place? So the third indicator is the practice in our dispensation, that is to put in place the indicators. So the indicators are a little rough, while covering several factors, that is to say, seeing the percentage of adults and children who are at this level while using time, natural therapy or antiretrovirals. So we try to work in collaboration with the health system. So here is the target for the virological solution. We have some targets divided in several levels. So to have good results, to see the children in less than two years, our target is to reach more than 10% and now for the children, more than two years, to reach more than 5%. So in a similar way, we have tried to define it. So how do the airways in the city want to help in the treatment of the viacities? To see how it works on the site. So we have several centers. We also have several sites that have been put in place. So there are certain sites that have already been effective and operational for a long time, seeing the indicators in a different way. So for this platform, we have divided this into several groups, that is to say, group A is the treatment of the one donor. So the group is just going to study the group G, a treatment for more than six years. So we see how treatments are done in the course of these different periods, and how the repercussions are prevented. So here is how we record the data. You see an example here, each patient has a tracker that records what they do in a specific way, purposeful and well-organized. That is to say, the date of the recording, so the biological level, so we see who concerns the patients, and each patient is recorded in the following way and put in place the indicators that allow them to easily find it in the system and know what kind of passage to adapt it to. So the fifth indicator, that is to say, for the stock of ARV, so to see the implementation of this system, we try to put in place a formula that decides to see whether the person has received treatment for a long time or not, and how many days they have experimented with it. So it's the way through which we decide to put in place the system of the indicators. So on the basis of this management, the system of treatment of VIH at several levels, so the different indicators that we all have, we all work to collaborate, so let's see an example, you see this tracking information system, which collaborates with ISP, H-ISP, AND, and PIVO, that is them who decide and configure the system at different levels, all of them in collaboration with these different programs where people can click on the link and access different programs. So let's see an example of how the indicators of treatment and so on can be defined to see how certain people who are affected with intensive treatment in different provinces can be monitored at different sites, at different regions. So we also see the table to see at the level of the sites, how the data can be put together in place in the system, since this has not been possible to present all of this at the same time, we have decided to develop, that is to say, a list of reports in detail, where we can identify individuals with very particular health traits depending on the different treatments, at least the practices are available. Now I will present, at least we can use H-ISP centers for the evidence of the responses in the prevention of the young systems. So the first indication is that we need to have a time reaction, that is to say, immediately contact the client to be able to come and recover his medicine. And do we have to make sure that he has the medicine at the time? So in the retention in the health system, so what do we do at this level? We also try to contact the client, to advise them and do not need to travel all the time to be able to be in this movement. So for the practices to be put in place, people can not only identify the different centers close to the middle age, we can also identify them to know that they are well in place in the different systems in place. So then the virological supply, the clients who no longer have virology charges, can be directed towards other clinics for the evaluation of their health system. Also for the management of ARV, we have alerts on the province, on the federal level, on what concerns the health care system, to see how it can be connected to management of ARVs, how can we quickly transfer ARVs in a way that is urgent for critical critical situations. So here are some examples in the different systems that we can put in place to be able to give an answer in time. So it's an example that we can use in order to put a health system in specific areas that we need to be careful and put in place a program for the optimization of this system. What is the most important in all of this is that the analysis of the data is very important for the approval of the data justice system. This allows us to go faster, because sometimes the data collection does not allow us to analyze it faster. So this allows us to use the system and identify the needs of different patients to see how to address our quick response to their needs and that would also be the implementation of the CHIS2 program. The more that we have had to fill out this data system, since then, this also allows us to improve in the transmission of our quality treatment and see how in general we can deliver the patients and also test new methods that announce the end of my presentation. So do not hesitate to contact us, here are our contacts, our references, that is that the CHIS2 system, thank you very much. So this is really a brilliant way of doing the presentation. I came to the data analysis at the site, and how can we make the data collection and put the analysis system in place. Thank you very much, David. This is a data system, VIH, by VMMC. The project that I run here is to have the process of transformation of packages for vaccination around a data treatment software. I work with my colleague, Mohamed Salihou, who also works with specialists. This session will give us definitions of the context for the project. To begin with, what is VMMC? It is, in fact, the undesirable effects of the voluntary medical circumcision. So to know with the voluntary medical circumcision of men. And this is funded by the PEPFAR, which is the program of the American president in VIH. So there are several partners in this PEPFAR. And the most important thing is to be able to eliminate all the undesirable effects. So when there are undesirable effects, which are adverse events, it is a problem that can happen after we proceed to the circumcision of men, for example. This event is considered to be notifiable to the PEPFAR if it is funded by the PEPFAR program. So if you have problems, after you come back to the PEPFAR to be able to know what happened. The MSA has recommended a series of vaccinations for teenagers and for young adults to allow young women to participate in certain vaccination programs. The age group who was looking for circumcision also came, and those who needed other care also came near the PEPFAR so that we can put a plan on foot and follow it. What there is is that there are undesirable effects after vaccinations. So the MSA, PEPFAR and other organizations have put together to be able to find solutions, to be able to solve problems that arise after vaccinations. However, the implementation of DHS2 has helped to be able to handle the undesirable effects that are reported. As you can see here, we have tried to track these events. It was quite a complex start for us because we did not have DHS2 because we had to separate these information from the other systems. So there is a prototype that we had called a team that helped us a lot at the beginning. So the first question with the reporting is what we can do first of all. We direct the information in DHS2, which is our source of information collection. So after that, we put it in the OECL-BO, which allows us to put it in the PEPF version. And if you are not used to the use of our application, we allow you to go directly to DHS2 to be able to register the information. So we have presented demos of our application to allow everyone to see how to do the process. However, we needed the functionality of the DHS2 that did not have a lot of customization to be able to manage. Second, there are questions to be asked. For a moment, you have to remember that DHS2 and OMS have set up a standard package to manage post-vaccine demonstrations that are undesirable. So that allowed us to get used to the functionality of DHS2 to be able to facilitate and accelerate our process. We could not develop a program from scratch. So we needed a phase of discovery of long-term requirements. Our team was able to quickly realize the prototype of the VMMC-NAE module for long-term updates as far as my eyes as information on the studies. So we also gave automatic systems that I sent to be able to study, collect and communicate the information. So we have the same software to be able to follow the information. Also, the partners already had the information. The data is collected directly in our database to be able to study in the dynamic board table. So here is our example of VMMC. If you are interested, you will have to register by starting with the start date of the process. You can see that these are sensitive data. So we did everything to put these identifiers under the minimum. Then we put the relevant dates for each event to ensure that the users can register the data as it should be. We do not put personal information that allows to identify the people. Through this process, we found, as the PII, to be able to help the people who register the data. As you can see here, here is an example of data analysis from our reporting application. So we see here the events that have been reported according to the age as you can see on this dynamic board table which is here in front of us. The board tables can be shared as you know. So this makes it easy for us to communicate between us and even it was very good, very pleasant for the customers. To conclude, the metadata package was a way to be able to adapt DHSD to metadata to be able to make a real implementation and save resources. Given the speed in which we needed to deal with certain situations, we are based on DHSD to be able to find solutions quickly enough. To analyze the metadata of our DHSD, to find the success in this field, we can expect to apply the same model of rapid prototyping to other post-vaccine and undesirable manifestations as well as the pre-cancel treatment of the user's code. So if you have any questions, you can ask on the practical side. Thank you very much for your kind attention. Thank you, David. It was a very practical example of the approach of metadata. And how does it work for you? Now I'm going to give the floor to Denis Monza who will explain to us how they have registered their indicators. Thank you, Victoria. Can you confirm that you can see my diapos? Thank you, everyone. Today I want to talk about the development of an OVC harmonized for MIS. My name is Denis Monza, and I work in the data sector. I have my co-presenter, my co-presenter, Sarah Mena and Mohamed Salihou, who have also broken a lot in the reduction of these exposés. Data FI is a global project that was put on foot by the USA to be able to deal with VIH problems, and it has worked through several groups of populations to be able to intervene in VIH. So throughout the years we have supported 14 countries, especially Zimbabwe, to be able to develop a system of health information management. So Data FI is led by a palladium and partner resources, even systems to be able to consolidate the individual systems to put them in the HHS2 tracker. So today we are at the last stage. So why develop a harmonized MIS? With more than 250,000 beneficiaries in different IPs that work with organizations and each implementer has a different system of information management. So this makes me understand that there is a little difference in the definition of the services that are offered, that allow us to be able to ensure the reliability of the data. So the data is submitted on Excel format, on a monthly basis, and then we put it on the format format, and that made us very late. So in terms of specifications, this system was put in place to be able to do the reporting of the PEPFAR indicators to ensure the efficient management of different cases. So it helps to support vulnerable children and orphans. So this is our objective, but the HHS2 has helped us to achieve our objectives. So we have collected the data, and the data should be attributed to the community, to the organizations in which it was found. The key indicators should be well categorized according to the age of sex, during a six-month period. And in addition to these indicators that we have just mentioned, we have specific data for the HHS2. As far as the difficulty of implementation is concerned, we have explored some of them as identification of the benefits to see how the beneficiaries have not received the services that we consider to be active. Another is the cumulative indicators according to the time and also the visualization of the follow-up results of PEPFAR to start on what concerns the identification of the active beneficiaries. PEPFAR has put guides in place for the determinants who have benefited from what. So there is the management plan of cases after the visit of the foyers and also the certification of the services. So where is the information on the beneficiaries, the first three bars, the sub-crits and the last, it goes with those who are in need of active service. So this cannot be higher than the combination of the first three. So these indicators that we have talked about earlier should be addressed in an age group and be accumulated again. So here we see examples of the VH indicators and what we are going to tell you here is that the VH statutes are collected and filtered according to the individuals who have this active status. Now we will see how we identify these children or orphans who have not received the system until they are questioned. What we know is that the identification of these children has been done on data that we have had in the past. So we had to do a follow-up to be able to avoid the interruption of the management of a case. So there were a lot of beneficiaries who were neither active nor lost in the follow-up. So we see in a way the descriptions of criteria used to be able to identify the active beneficiaries. So here is the process we are going through to remove some of the categories to have the individuals who are considered inactive. Here we see an overview of the actions that have been carried out on a daily basis, sometimes two or three days. Here, on the right, you see the VH indicators. There is a larger component that is the third component at the bottom. I will take a look at how to accumulate the indicators to have the different types of dimensions. We have two indicators. The first is the point-in-time, as we call it. Some of these indicators are intended to be able to capture the beneficiaries' status at the end of a reporting period. And these children could not be registered on several periods because the children will be duplicated. So we do it once. So we needed to determine their status during the first semester or the first semester or the second semester to know if they should continue the follow-up. So these are the questions. And also, an alternative indicator is the cumulative count where the beneficiary's status can be done during the different reporting periods. Here, we have the five indicators of reporting at the top. And among these five, we have two that are in the category point-in-time and the third in the cumulative category. So, as we mentioned, these indicators, you have to evaluate the status on the site in the trimester, which is the question of doing it on the basis of this semester. The big indicator is the fact of measuring which is no longer eligible after a certain time. So we try to accumulate the two versions of point-in-time and then the three other parameters that are in the cumulative category to be able to determine who is legitimate for the follow-up of the program. The last difficulty is the visualization of the filters on a given plan. So the tracker module brings indicators along the line and these last ones are better visualized according to the hierarchy of the norms. So you see an example of data here that is separated by province. And it's much easier with the HHS tracker. But it's not very... It's not easy to have the same data categorized by sex age with our old system. Here, it's a screenshot of all the logic produced by the FAR and the partners. Our technical teams created an integration process of aggregated trackers. So each indicator was created as aggregated data with an appropriate category as the disaggregation of sex and age as parameters and assigned data for partners. So we needed a 768 program indicator for each designated indicator. A solution for us was to put out the data... the card indicator to put it in the aggregated data element by using output ID scheme for the attribution of a basic journal. So the solution is that with the HHS2, you can see the data with the different partners. Here, you can see a table where the results are presented by the CBO, the child, and also by the sex and age groups directly. So here's another overview that shows the categories and the different variables in the question. So for our reflection, we tried to create a harmonized system that allows us to have standard indicators to contribute to the improvement of reliable data. Then we also tracked the data for beneficiaries through time to have a real-time view of what's going on in the field during the complexity of the report. We needed a lot of configuration and a lot of back-end coding. I hope that people can understand because these areas are a bit tricky. Now we're going to go to our third presenter. I'm going to leave the floor to the next one. Now here. Thanks. I hope you're able to see my screen. Yes. Go ahead. Thank you. Thank you so much. Good morning, good afternoon, and good evening. Just depending on the different places that we are attending this meeting from. So I am Neni Longu, the Senior Technical Advisor for the Maui Empower Activity. And I would also want to recognize the co-authors towards the submission as well as the drafting of the abstract that we submitted to this DHS2 annual conference. And let me also recognize the presence of these co-authors who are within us on this group. And we have Lynn Danyond, who is our SI Regional Director. And we also have Matthew Cancurungo, who is our data base as well as HMIS Manager. And Dr. Pontiface Marquette, who is the Chief of Party, as well as Yonan Yondo, who is our Senior M&D Officer. And I will be presenting on optimizing the digital data collection using the DHS2 in addressing girls and young women programming. And this is the case of the Maui Empower Activity. So in terms of the floor for the presentation, first we are going to look at the background information. And then we're also going to look at the processes that we actually undertook to make sure that we have the DHS2 track in place. Then we're going to also un-eth the key findings. Then we'll actually conclude by sharing a conclusion, a statement. So in terms of the background, so Maui Empower is an acronym standing for Expanding Maui, HIV and AIDS Prevention with a local organization working for an effective epidemic response. So this is a USAID five-year funded project, which began on the 5th of March, 2020. And it's expected to phase out on the 4th of March, 2025. So the overall goal of the project is to support governments of Maui commitment to epidemic control by stopping HIV transmission and preventing new infections among addressing girls and young women aged between 10 to 24 year olds. And the activity is actually being implemented in the two districts of Maui. And these are the districts in the southern region of Maui looking at the HIV prevalence in the two districts. And these are the dream districts and they include Zumba as well as Machinga district. The project is actually being implemented through two local implementing partners who include the Christian Health Association of Maui, commonly known as CHAM, as well as Packagerie Institute for Development as well as Institute for Development and Communication. So next through the slide, we are actually seeing a snapshot in terms of the two implementing dream districts addressing girls and young women. So the Maui Empower Activity is actually a large scale multifaceted program that provides sexual as well as reproductive health services to more than 40,000 addressing girls and young women across the two districts of Machinga as well as Zumba districts. And the project actually used the data as tool to ensure the availability of high quality data. So in terms of the limitations that were there at the inception of the project, one challenge that we actually experienced as a project was only the volume of the addressing girls and young women data that we're supposed to collect as a project. Like I mentioned, that we are actually tracking over 40,000 addressing girls and young women with the different SRH as well as HIV services. Therefore, this actually also initiated us to make sure that the real time data collection concept whereby data was being collected at different time points as well as at different places. However, considering that the project is located in the two districts of which some of the facilities are located in the rural areas of the two districts, we had actually also encountered the intermediate as well as limited the internet connectivity across the facilities that we're working with in the two districts. In the same vein, we also had the experienced data entry costs, especially paying for data to actually be transported to be transformed from the paper based into the tourniquet management system as well as also costs in purchases for our computers to make sure that the data is actually keyed in and also that it can actually be used for rigorous data analysis. So now the question that we actually might be asking ourselves is then what was the process? How did we do it as a Maori in power activity? So the process began somewhere around in June 2020 whereby we developed a data set using the DHHS tool tracker which was actually running on the version 2.33.8 and this was actually capturing the longitudinal data for SRH as well as HIV services that are provided to the addressing girls and young women during the monthly community outreach and meetings that we are actually conducting as a project. And then the DHHS tool tracker actually was able to correct individual level data and it runs both on the computer as well as on Android devices for offline data capture. So we actually purchased Android devices for our data entry team so that they can actually be using to actually capture data into the shared database. At the same time we also made sure that we actually build the capacity of both the strategic information team members who include the M&D assistants and also not building only the SI team capacity but we also made sure that all other program staff are also trained of how the tracker was actually performing. Similarly we have actually also been able to develop standard operating procedures that can actually be used as the aid documents to make sure that they assist in the day-to-day learning as well as operationalizing for the DHHS tool tracker database. So currently the tracker is actually deployed to capture individual level data at about 40 community outreach sites and we are actually capturing data for over 40,000 addressing girls and young men on a monthly basis in terms of the services that are actually captured within the tracker. We are actually collecting HIV testing data, STI screening data as well as family planning methods that are actually provided to the addressing girls and young men and this is in addition to the sexual and reproductive health talks that are provided to the addressing girls and young men at outreach sites. Now what has actually been the key findings or key successes that we have actually seen following the development of the tracker? One, we can actually summarize our key findings in two, three. One is on the data merging. So using the tracker, we collected the data at multiple sites and the DHHS tool tracker has actually allowed us for instant messaging, merging of longitudinal records unlike other routine statistical softwares where the process was actually taking us more than a week to complete the merging process. So we have actually been able to save time in as far as the instant messaging of the records is concerned. In addition to the instant merging, we have actually also seen improved data quality following the automated escape patterns that were embedded within the tracker. We have actually been able to make sure that all our data is actually complete as well as make sure that it actually conforms to the other data quality dimensions including that of data accuracy. Lastly, we have actually also been able to minimize costs because using the DHHS tool tracker, we have actually been able to save over $10,000 by purchasing tablets instead of computers as there were previous needed. And also the tracker has also enabled the project to develop analytical dashboards to perform or to track performance as well as aiding and improving programming. So this snapshot just actually shows some of the dashboards that have actually been developed within the Marawian Power DHHS tool tracker. Lastly, allow me to actually conclude by saying that through the use of the DHHS tool tracker and application for long-term data collection for the community outreach programs, we have actually been able to correct large data and these have actually helped us to make sure that we capture the data at different delivery points as well as merging instant data to inform programming and these has actually helped us as well to make sure that the concept of real-time data entry is actually achieved and also making sure that we have actually reduced costs and we can actually be able to scale up the activity. At this moment, let me stop there and thank you so much for your attention. Thank you so much Nani, that was a great overview of such a great implementation. This is it. Our time is up unfortunately. I hope you enjoyed and you find some of the information that we brought to you today useful enough or at least as a starting point for some problems that you had as well. So if you want, you can continue the discussions and follow up with the presenters in the community practice and yes, the recording will be available soon. Thank you so much for today and I hope you enjoyed the remaining part of the day.