PMTCT Module – What are the perceptions after one year in Kenya?

It has been precisely one year since the inception of the PMTCT Module in Sauri, Kenya.  Though, the MVP team has been unable to draw accurate conclusions on the end-user perception of the module. That is, how do CHWs feel about working with it? How can its functionality be improved? How acceptable has it been within communities?  On June 3^rd 2011, I travelled to Sauri with the aim to answer some of these questions.

“Nyamrerwa”

The pregnant woman in Sauri does not always visit the health facility for her scheduled clinic appointment. Poor accessibility or efficiency of health services, fear of realizing HIV status (it is required that pregnant women in Kenya test for HIV during the first antenatal appointment) or the lack of support from her husband or partner, might explain why she does not visit the health facility.  Though in some cases, the woman has simply forgotten; and it is the duty of her Community Health Worker (CHW) or “Nyamrerwa” (Healer) to remind her.

“Our job requires that we walk around the village, map each household and its members, identify pregnant women and from there we would follow up with them” says a CHW in Nyamninia sub-location.  

CHWs have become a great resource in their community that some women simply rely on their CHW to remind them of appointments.

“I often can’t remember my clinic appointments without the help of my CHW. She is the one who reminds me of my next appointment date” says a young mother in Ramula sub-location.

But the task to remind women of clinic appointments is only one item in the long list of activities that CHWs are performing every day; the demands of their job do not allow them to remind all women of clinic appointments.

“Say you have 8 mothers in your village you need to be able to track all of them. Each has a different clinic appointment, so planning out my schedule so that I am able to visit all of them in the month was very difficult,” recalls a female participant in Sauri.

Sadly, if some of these uncaptured women are HIV+, then every appointment missed increases the likelihood that their children will be born HIV+ also. In order to address this problem, the Millennium Villages Project (MVP) in Sauri Cluster implemented Prevention of Mother to Child Transmission (PMTCT) module in May 2010. The timing was perfect; in the previous year, MVP and UNAIDS had agreed the establishment of “MTCT-Free Zones” in all MVP sites (click here for more information).

The module worked by using SMS as the medium to remind CHWs to remind women to visit the health facility in their village. Quite simply, the module worked as a double-loop reminder system.  All of Sauri’s CHWs (approximately 109) were trained on how to use the module; and as of June 2011, 350 women were registered in the system. More continue to be added to the system every day.

PMTCT Module Follow-up

From the moment I arrived, I was both excited and anxious about my summer in Sauri. I spent my first few weeks familiarizing myself with the PMTCT module workflow and identifying the major stakeholders. I understood the module to work as follows –

1. The CHW registers the pregnant woman into the ChildCount+ system during his/her regular household visit and encourages her to visit the clinic  for her first antenatal appointment (for more information on how data is recorded see Casey’s blog)
2. A woman visits the clinic for her first antenatal appointment
3. The CHW at the clinicrecords her visit by sending an SMS to the CC+ system
4. The system adds the woman’s name to a schedule (i.e. records the date of her next appointment)
5. Three days prior to the woman’s next appointment, the CHW** receives an SMS giving details of the appointment
6. The CHW reminds the woman of her appointment
   1. The woman attends clinic on day of her appointment
   2. The cycle repeats

*Can be any CHW

**Same CHW as in 1 i.e. the CHW responsible for the woman’s village

I identified major stakeholders to be:  health facilitators, CHWs, nurses and mothers.  I spent some time acquainting myself with each of stakeholder, though the bulk of it was spent interviewing CHWs and mothers in the community. They had interesting things to say…

Interviews

I arranged interviews with over one hundred participants – about 30 CHWs and 70 mothers (both individually and in focus group settings). With CHWs, I tried to gauge their perceptions of the PMTCT module by asking them comparison-based questions i.e. how did they work before the PMCTC Module was implemented? Did they find those methods to be effective?

“In the past, we would visit each household within our catchment area and single out the women who were pregnant. We would then record details of their pregnancy using pregnancy tracking forms,” says a female interview participant at Bar Sauri clinic.

Some CHWs noted that they would use their own personal diary to record this data, and later refer to it whenever they made reminders.

“This method was not very effective because sometimes I would misplace my diary and forms” says a male participant in Gongo sub-location.

How is the PMTCT module better?

“The PMTCT module makes things easier because I will receive a reminder from the system about the woman’s appointment. So when I leave my home, I have it in my mind that I should visit a specific woman to remind her of her next appointment,” says another participant in Gongo sub-location.

The majority of mothers interviewed exhibited the same satisfaction with the PMTCT module and the work of CHWs in their villages.

“My CHW’s work has improved when compared to before. Previously I was not reminded of my next clinic appointment; though today, she reminds me often. She also encourages me to visit the clinic for ARVs” says a mother in Ramula.

“The job of CHWs has improved because they remind me of clinic appointments.  Previously, CHWs did not care much about the welfare of the community. I would just remind myself of my appointments by looking at my clinic book,” said another mother in Nyamninia.

PMTCT Module Improvements

While the module seems to be accepted by CHWs and mothers in the community, the following issues were raised (by CHWs) as barriers to performance:

-       Clinic level: CHWs working in clinics are extremely busy; as a result, they often forgot to fill out ChildCount+ forms and send text messages to the CC+ system.

-       Household level: the CC+ method of data collection takes up a lot of time – a single household visit might require 3 or more CC+ forms to be filled; as a result, one could easily spend up to 45 minutes in a single household.

-       Phone issues: CHWs noted that some phones did not have sufficient memory space to store messages. For example, if a CHW sent out a message to the CC+ system and received an error, he/she had no method of retrieving the same message to correct it; they would need to send an entirely new message.  Other phone issues were low battery life and poor network capture.

-       Communicating with mothers: CHWs said they had difficulties convincing some mothers of clinic appointments. “Some of these women are really hard to convince to visit the clinic; they can be ignorant and defiant,” says an interview participant in Nyamninia sub-location.

-       Training on PMTCT: CHWs stated that they would appreciate additional training on PMTCT as to enable them to better inform mothers on the benefits of visiting the clinic during pregnancy.

Whilst the PMTCT module as proven to be a useful tool for CHWs, only once these items are addressed can MVP realize the greater benefit of the PMTCT module.

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I had a wonderful summer in Kenya and I would like to say thank you to the following people – my supervisor Yanis Ben Amor, for linking me to this project, for being a great resource and colleague, and always ensuring that I was safe in the field. Dr Thomas Ouma and Jessica Masira for your guidance and support. Casey Iiams-Hauser, for providing me with ample information on the PMTCT module, helping me with the questionnaires, and always being available to give me advice. Oduor Paul Aginnah for being an amazing translator during the interview process. Samuel Omollo for your support and guidance whilst in Kenya. And lastly (but definitely not least!), the entire MVP team in Sauri – you made my summer in Kenya an experience that I will cherish for the rest of my life. Thank you.

Chibulu Luo

We visited the CHEWs (Community Health Extension Workers) at each of their 6 respective health centers in the Bonsaaso cluster to introduce the PMTCT module and to distribute phones. As the CHEWs are already familiar with sending in SMS messages to the server as part of their usual tasks related to CC+, the addition of the PMTCT module only required a short training. This, in fact, is one of the advantages of the software: the ability to add on specific modules, defined by the needs of the area, with very little additional training outside of the initial CC+ introduction.

The ability to track and promptly attend to children who need nutritional or medical interventions is a main strength of the CC+ program. With the PMTCT module now implemented in two MVP sites, we will be able to track pregnant mothers and their children, specifically, to ensure that HIV+ mothers are receiving their medications on time to prevent the transmission of HIV to their babies at birth.

In the months to come, we hope to see defaulters (mothers who don’t make their clinic appointments), followed up with by the CHEWs more easily. Beyond that, we hope to see zero children born with HIV. A cast of many worked very hard to bring the PMTCT module to Ghana, and the continuing work of the CHEWs, the team in Ghana in conjunction with the teams at the Earth Institute at Columbia University and the Millennium Villages Project, will achieve the virtual elimination of mother to child transmission of HIV. Expect updates on PMTCT, along with news from our other active CC+ sites.

The Kenyan ministry of Health is launching the free anti-pneumonia vaccinations in public hospitals in February which will save the country 80,000 hospital admissions annually and could save as many as 9,000 lives nationwide.

The pneumococcal vaccine, which costs $185 for three sessions in the private sector, will be given free to all children in public hospitals and clinics from February 14.

Statistics from the World Health Organisation show that in 2008, about nine million children under the age of five died and that 40 per cent of these deaths were due to pneumonia and diarrhoea alone.

The vaccine will be provided through the Global Alliance for vaccines and immunisation, which is partly funded by the Bill and Melinda Gates Foundation. ChildCount+ will be used to track the vaccination of children and help ensure that the regimen is properly spaced to provide effective vaccination in the Sauri and Dertu Millennium Villages Cluster. Childcount+ tracks the time between the sessions and also that each child has received all three shots for maximum vaccine effectiveness.

WHO country representative Abdoulie Jack said that much effort still needed to be put in curbing the number one killer of under fives in developing countries.

“Pneumonia and diarrhoea contribute 20 per cent and 16 per cent, respectively, or 39,760 children’s deaths in Kenya.

“This means approximately four out of every 10 children are dying as a result of the two conditions which are largely preventable, said Dr Jack.

*Much of this blog post is directly quoted from the press release from the Kenyan Ministry of Health

Antoine de Saint-Exupery on Engineering

French writer (1900 – 1944)

When I arrived at the Sauri Cluster, one of fourteen clusters of villages across sub-Saharan Africa that are part of Columbia University’s Millennium Villages Project (MVP – www.millenniumvillages.org), I had some ideas for programs aimed at patient tracing to aid Prevention of Mother To Child Transmission (PMTCT) of HIV, having carried out a similar research project in Malawi. While the team I was a part of wrote up our findings, I focused specifically on our recommendations for a patient tracing software that could be developed for mobile phones. These recommendations for Malawi were based on one major factor in the failure of PMTCT programs: a high rate of defaulters accessing the services provided, due to lack of follow-up by community health workers (CHWs). We had some good ideas about how mobile phones could be used to drastically lower the rate of loss to follow up (the technical term for defaulters). However, when the programmers found that creating a persistent database of patients for tracing was too daunting, given the timeframe of our project in Malawi, the tracing system was drastically scaled back.

The opportunity came to try and implement a mobile-based patient tracing program for PMTCT in Kenya with the Millennium Villages Project in the Sauri cluster. The timing was perfect: in September 2009, UNAIDS and MVP signed a memorandum of understanding to establish MTCT-Free Zones within the MVP sites. It reflected a shared commitment to bring together MVP’s multi-sectoral and science-based development and primary health care strategy with UNAIDS’ expertise in community and family centered PMTCT, along with greater involvement of people living with HIV. In the “MTCT-free zones,” coordinated application of rights-based and evidence-informed best-practice in PMTCT could be amplified by community engagement and support, to provide access to high quality services that meet WHO guidelines and to overcome social barriers to the uptake and continuation of PMTCT regimens. Mother-to-child transmission of HIV can be virtually eliminated through a four-prong strategy implemented simultaneously:

Prong 1: Preventing women of child-bearing age from acquiring HIV infection;

Prong 2: Preventing unintended pregnancies among women living with HIV;

Prong 3: Preventing HIV transmission from women living with HIV to their children;

Prong 4: Provision of care, treatment and support to mothers living with HIV, their children and their families.

In low resource settings, implementation of this comprehensive response faces a host of well-documented obstacles, particularly due to low levels of coverage with existing reproductive health services, including antenatal care and health services for newborns. In addition, in many settings, systems for tracking mothers and providing them and their families with adequate support throughout the continuum of care are poorly developed. With this timely focus on PMTCT services across all MVP sites, and the added support of UNAIDS, the implementation of a mobile-based tracing software for PMTCT was both needed and well-timed.

The only problem was that the software which had been written for the earlier project in Malawi wouldn’t work for a comprehensive patient tracing system. While in New York, I talked to the ChildCount+ team about these challenges, and found that by leveraging the existing CC+ platform, we had the benefit of a well-tested persistent patient registration system, which was the missing vital component of the previous project, as well as forms and training materials which had already been developed. With the underlying framework already in place, we could focus our efforts on building the module for PMTCT.

I will first explain the design process and then the final product.

The Design Process

When I arrived in Sauri in mid-June for my first day of field research, I had in mind a system where the mothers could be enrolled in a certain treatment program. This would have a set schedule for the follow-up appointments, and the mother would be assigned to a particular treatment program at the initial antenatal visit based on her CD4 count. The initial idea is in the diagram below.

I decided that the best way to figure out what was feasible was to visit each health center and talk to the stakeholders: the CHWs themselves, the nurses who saw the pregnant women and the under 5s, and the patients. They were the ones who know what the problems are and what the solutions should be. They were also the only ones who could tell me if the program that we had thought up while sitting at a desk in New York was a good idea, or a bad idea. I stressed this whenever I talked to people, that the program as it existed was only an idea and that I was counting on them. If it was a bad idea, please tell me and we could change any part of it. At first they laughed, but after they realized that they had the opportunity to influence the program, they were very open about changes that needed to be made and had no trouble telling me where the ideas I had arrived with were not compatible with the reality on the ground.

When I visited the health centers, I found that while in an ideal world, the idea that someone could be put on a set schedule and that would just work was nice, it just wasn’t feasible. Some health centers had all of the HIV+ pregnant women coming in on the same day of the month; sometimes, when someone would be travelling, the nurse would shift an appointment; and, if there were less than 4 months left before a woman gave birth, they would come in more often in order to get in all of their antenatal appointments. Having the schedule set on CD4 count was also problematic as the CD4 count wasn’t available during the initial antenatal appointment. Also, the Maternal and Childhood Health Nurses said it was a bad idea. So, with that, the idea of a set schedule was scrapped for a more flexible system of setting appointments manually.

We knew that we had to strike a balance between collecting enough information to make the impact that we wanted and overwhelming the nurses and CHWs with extra work. So, we focused on only collecting information that would be used to initiate a corresponding action. For example, we included the estimated date of delivery for each pregnant woman in order to have their CHW visit them 3 weeks in advance of their due date to go over their personal birth plan with them. We decided to collect data in a chronological order, having one form which contained information which could be collected before the initial antenatal visit filled out by the CHW in the home of the woman, then another form for the nurse to fill at the initial antenatal visit, and finally one to be filled on follow up visits. These were the only forms that collected any data, but we had several additional forms for procedure, like one for CHWs to fill when they reminded people of their appointment, and one for the clinic front desk to fill when someone came for a clinic visit. The new workflow is pasted below. You don’t need to know much about the forms other than that there were too many of them. This would have required 3 new forms at the clinic, and for CHWs to carry and fill out two more forms on their household visits; this was in addition to those that they already had to fill out and had indicated to me in a focus group that were taking far too much time. The only pre-existing form in this workflow was form A, and new forms in the workflow have been circled.

I held a focus group with CHWs who expressed concerns that any new module would lead to a lot more work, and that they were already filling out forms which could take hours when visiting a new home. They asked me to be sensitive to the workload they already had and to add as little as possible. At this point I met with Ben Nemser, Andy Kanter, and Yanis Ben Amor from the Earth Institute who challenged me to find ways to reduce this excessive form-filling. (When you are too close to a project you tend to think of all the reasons you came up with a form in the first place, I encourage all project managers to seek out fresh eyes to help pare down unnecessary steps.) We managed to cut out forms R and V all together by utilizing the household visit form (already being filled out by CHWS), and which has a referral section to replace the reminder. This was great, because the CHWs were already making a household visit to fill out the form at least monthly, so we were also not adding any extra visits to the household unless the person did not attend their appointment. We replaced form V by counting a clinic visit when there is a new appointment made (which makes perfect sense, as there will be a new appointment following any visit). We also shifted the form P (now FP) to be filled out at the front desk of the Maternal and Childhood Health unit by the CHW on duty. This reduced the number of new forms for the CHW to carry and fill out to zero and kept the number of new forms in the clinic at three, however, now all the forms contained information and none were kept for only the sake of procedure. In addition, we were able to identify information which CHWS had been collecting manually on the household visit form that could be replaced by the system, reducing the length of the form by 50% and saving CHWs a significant amount of time filling out forms each month.

Below is the final workflow.

When presenting this new module to CHWs, they appreciated very much that the attempt was made to not add any extra household visits or forms to fill and there was very little resistance to the implementation.

They felt as though their concerns were heard and the feedback that they had given during the planning stages of the project had been taken seriously. When presenting the forms to the nurses and clinical officers in the field, we received a nearly unanimous response: this program will greatly reduce the number of defaulters from care (loss to follow up) and that it should ensure that all children in the cluster receive their immunizations on time.

The PMTCT Module

A community health worker (CHW) visits every pregnant woman and every child 18 months and below with an upcoming appointment to remind them when to go to the clinic and makes a follow up visit if they don’t attend. We are specifically targeting one of the biggest challenges to PMTCT programs: loss-to-follow up, which are those who begin the PMTCT program but end up not attending their clinic appointments. Our goal with the reminder/tracing system is to eliminate those who default casually (forgetting an appointment, etc), and to identify those who are consciously making a decision not to attend so we can follow up with them. The issue of default is very sensitive in PMTCT. The pregnant women are given just enough medication to last until the next appointment, and if the drug regimen is adhered to for the entire pregnancy there is an extremely good chance that the baby will be born without HIV. Without any preventive measure around 25% to 40% of babies born to infected mothers will receive the virus from their mothers. Of these infected babies, without treatment, one-third will have died before their first birthday from an HIV-related cause, and half before their second birthday. With patient tracing, pregnant women get treatment, preventing children from contracting HIV and any children who are born HIV+ are put on the treatment plan that they need as soon as possible.

The CHW does not know the patient’s HIV status at any point. To avoid the problems of stigma against people living with HIV, all pregnant women and children are followed. The messages sent to the CHW are exactly the same if the patient is HIV+ or – and all patients are followed up in the same manner. Because of this, we not only protect the patient’s confidentiality but we also experience positive side effects, which I like to call “collateral benefits.” These include the increased number of women attending at least the recommended 4 antenatal clinic visits and more children receiving all of their vaccinations at the appropriate time (as all vaccinations are complete by 18 months).

We begin the process by collecting some demographic information on form FP (Facility: Pregnancy) at the front desk of the Maternal and Childhood Health Unit of the Health Center for each new pregnancy. On the first visit to the MCH unit, this information is collected by the community health worker stationed there.

Once this is complete, they go into the nurse’s office for the initial antenatal visit. Form FP 2 (Facility: Pregnancy 2) is then filled out.

This information is used for 2 separate interventions: the first is to remind women of their follow up antenatal appointments, and the second is to prompt CHWS to go over personal birth plans with pregnant women, which we hope will raise the proportion of births facilitated by a skilled birth attendant and the proportion of births which take place at a facility.

Three weeks before the Expected Date of Delivery, the CHW assigned to this pregnant woman will receive a text reminder to visit the woman and go over her personal birth plan with her; this includes things like where she will deliver and how she expects to travel there. Again, we hope that this will increase the number of births by skilled birth attendants (usually this means in the health facility).

3 days before the Date of Next Appointment, the CHW assigned to this woman will receive a text message saying “NAME has an appointment at the health center on DATE. Please visit the client and refer to the clinic for their appointment,” then, the CHW will visit the client in her home (as already happens at least once a month) and fill out form C (Consultation form) (already in use). The last field of form C is a referral, which serves as the record that the CHW has reminded/referred the client to the health center for her appointment.

If the client returns to the health center for her appointment, form FP3 (Facility: Pregnancy 3) is filled out by the MCH nurse.

As you can see, the follow-up visit form is very simple: just the next appointment. If the client doesn’t come back for their appointment for two weekdays after the date of appointment, the CHW receives another text message stating that “NAME has not attended their appointment on DATE. Please visit them and advise them to visit the health center as soon as possible.” If two weekdays pass from the date of this reminder, the client is added to a list of defaulters.

When a newborn child is registered in the system, any outstanding appointments for the mother are removed, and a new appointment is made for as close to the child’s 6 week birthday as possible. The same patient tracing/defaulter system is in place for the child; when the child reaches 18 months and graduates out of the following program the system automatically removes them from the reminder cycle.

There are additional features to the program, such as an automated way to inform patients that test results have been returned and the ability for the lab to send results electronically. All of the forms can be entered in via either mobile phone or online form. The HIV status of all clients is kept confidential and the CHW is never aware of the details of a client’s status or other medical history.

There is also a simple module built on the same ideas for tracing Tuberculosis patients, ensuring that they complete their course of treatment.

Nine health facilities in the Sauri Millennium Village Cluster have been trained on this module, the last being completed in early September. So far 39 pregnant women have been enrolled in the following program with more being added each day.

I’d like to thank the Childcount+ team in New York for challenging my ideas and helping them get to their best possible versions, Yanis for taking on the never enviable task of trying to get all the resources in place and meeting with me week after week to iron out any and all challenges, Dickson and Moses in Kisumu and Kevin in Nice for all the help getting the software running and putting up with my constant changes, James in New York for helping me see that the program needed to expand from its origins, Jessica and the Millennium Villages Project team in Kisumu for all their support, Komolo for showing me around to all the health centers and using his amazing network of contacts to get me meetings with everyone, working with me on the trainings and being an all around indispensible right hand man (and for making sure there was mandazi and tea), the health care workers and pregnant women who took time to talk to me and answer my never-ending questions and last, but certainly not least all the Community Health Workers, without your hard work, none of this is possible. We will keep the community updated on the results of the project, stay tuned, this is not the last you’ll hear about this.

By Denise Lee & Jaclyn Carlsen

No, not that Hilary Clinton, this was a little boy (yes a boy) living in the Sauri Millennium Village Cluster.  Hilary was having a nutritional status screening performed by Richard*, his community health worker. To do this, Richard placed a specially designed flexible ruler around Hilary’s arm and recorded the measurements. This measurement, known as a MUAC (mid-upper arm circumference), serves as an uncomplicated, effective field method for identifying malnourished children under five.

In the past, community health workers (CHWs) in the area were volunteers who provided basic health advice and services. When MVP began operations in Sauri five years ago, a core part of their health strategy was to establish a network of professional CHWs. To do this they provided them with training and a small stipend, and increased their responsibility and accountability. In addition to mass nutrition screenings, CHWs in the cluster also treat malaria and diarrhea in children under 5, monitor pregnancies, sensitize households on water and sanitation, provide advice on family planning and give referrals for pneumonia. For the past 7 months, the CHWs have been utilizing a new mHealth platform, ChildCount+, which uses SMS messages to monitor pregnant mothers and track nutrition readings, malaria, and other illnesses in children under 5.

Going around with a CHW was eye-opening. It’s one thing to read about nutrition screenings and the use of mobile phones for health monitoring, but quite another to see it in action. Four times a year the CHWs perform the mass nutrition screening, going from household to household measuring the MUAC of all children under 5. On the day I trailed him, Richard visited a total of seven households in Nyaminia. After measuring the children, he texted the results of the screening to the central ChildCount+ database that records all the personalized health data the 108 CHWs send in.

A major benefit of ChildCount+ is that it provides immediate feedback to the CHWs, guiding their action. For instance, if any of the children we monitored had had a MUAC below 115mm, Richard would have received a message to refer them to the clinic for treatment of Severe Acute Malnutrition.  Hilary’s MUAC did not indicate undernutrition, but it had dropped from 210mm to 168mm prompting Richard to inquire about Hilary’s health and eating habits. After Hilary’s mother mentioned he had been sick recently, Richard explained the importance of seeking medical attention in such cases and ensuring a nutritious diet.

A CHW performs a nutrition screening using a MUAC

Similar feedback is provided for malaria cases. In one home, after texting in the results of a positive rapid malaria diagnostic test and the estimated weight of the child, the system sent back a text message of the appropriate dosage of Coartem the child should take. Although an experienced CHW may know these prescriptions by heart, each of these texts acts as a check of diagnosis and prescription, and the ChildCount+ system processes the information in a database that makes monitoring faster and easier.

There is great value in mobile systems such as the one used by the CHWs in Sauri. Beyond providing immediate feedback, this type of system can reinforce the learning of newer CHWs, increase accountability by quantitatively measuring the actions of CHWs, improve tracking of health and disease patterns in a community, inform resource allocations, and with proper monitoring and evaluation tools, assist in measuring the effectiveness of interventions.

Although the use of ChildCount+ in the field has been impressive, our time with the CHWs emphasized the point that an information system is only as good as its people and its tools. Although none of the children monitored were severely malnourished, there were some who were clearly not receiving all the necessary micronutrients. Others, such as Hilary, were not yet in the danger zone, but were in danger of having their conditions worsen if not given proper medical care. These cases could only be recognized and acted upon by a trained health worker, like Richard, who is familiar with the people he works with and has resources at his disposal. Richard himself had some critiques of the ChildCount+ and CHW systems. The texting of medical information takes time and errors do occur. As the CHW system has become more professionalized, responsibilities have expanded and many feel that the pay, a stipend provided by MVP, is far from adequate. Even though there are challenges, CHWs have seen improvement in the nutrition status of the children in the region, and attribute these changes to MVP interventions such as door-to-door health screenings, nutrition training, and immediate clinic referrals for emergency and supplementary feeding.

A CHW using the ChildCount+ system to register a new person.

*names changed

This piece was originally two posts on http://karibusauri.wordpress.com/ and was also posted on www.summerinsauri.wordpress.com.  We thank the authors for their permission to combine the two posts and cross-post on ChildCount.org.

Part of the ChildCount+ implementation process involves the daunting task of registering all members of the community. Community Health Workers across all MVP sites are equipped with a standardized paper registration form. The form includes fields for Health ID numbers, First Name, Family Name, Gender, Age/DOB, Head of Household Health ID, etc. Community Health Workers fill out the fields either by referencing community member’s health booklets or by briefly interviewing them.

In Mbola, Tanzania, we have begun a registration form trial exercise in a village called Lolangulu. The trial began on Monday, 14 June, and we have already experienced two issues with the process.

• One of the Head of Households has two wives in two separate villages. This raises some interesting and challenging questions. Do we register the Head of Household in one village and not the other or in both villages? If we are to use one location, when we register the other household members from the other village, which Head of Household location should be used?
• With the focus of ChildCount+ on newborn, maternal and child health, only Children Under 5, Expectant Mothers and Heads of Households are registered. Many household members ask why this is the case. Maybe we should think about possibility of registering all household members seen during the visit.

Despite such challenges, the overall process is going well, and I am confident that some of the issues above and mistakes that may arise will be addressed during the retraining process.

Here is our first attempt. The line plot on the graph is based on the child’s mid-upper arm circumference (MUAC) which provides an indicator of the child’s nutritional status and is a good proxy for a child’s overall well being. The MUAC is plotted over periods of time (P) which is intersected by health events in the child’s life. We represent each intervention: nutrition screen, CMAM treatment or malaria/diarrhea diagnosis and treatment with a line. If the intervention is performed properly ie) a malaria diagnosis and treatment with 48 hour followup – the intervention line is solid. When a followup or screening is missed a dotted line is used.

For this example, we assume that for each period P a child should receive a routine nutrition screening where a MUAC is taken. In this example the child misses his screening at P2 but receives one at P3. Between P3 and P4 the child is diagnosed with diarrhea but for some reason does not receive the proper treatment (Zinc + ORS) or perhaps misses the required 48 hour checkup. At P5, the child has a MUAC of 108 which means he has secure acute malnutrition and needs to go on plumpynut therapy. In this case, the child receives treatment through period P8 until his health rebounds. He gets malaria somewhere between P8-P9 but is properly treated and child’s nutrition status returns to a normal level.

In this chart, the history is exactly the same for the child through P7. In this case, the child misses a key nutrition screening at P8 and is not properly treated for malnutrition at P9 when is MUAC is updated. Weakened after just having recovered from malaria, the child dies, unfortunately, before P10.

Since these will also be printed out here is how the charts may look in black and white.

These are still very rough ideas and we would greatly welcome your feedback. We hope to be able to come up with something simpler / more minimal over time. If you have any other ideas or examples of how we could display this type of information please let us know.

Child Mortality

The World Bank just made open their database of 2,000+ development indicators at data.worldbank.org.  The site, done by our talented friends at DevelopmentSeed, does a powerful job of exposing with data how important the work to improve child and maternal health is.

Python, Django and RapidSMS have been my bread and butter since one Sunday afternoon, the 1st of August, 2009. I had just spent about 18 months on corporate business application development and was now venturing into the world of NGOs and open source software development–things that had had much influence for me to take the leap forward into the next adventures of my life.

It had not been an easy decision, but the prospect of working in an environment where I get to see my input work in improving health care, the opportunity to contribute to open source software and the fact that whatever code I wrote will be exposed to scrutiny by a lot more people all over the world was more than enough motivation. And of course, the chance to escape the traffic jams and concrete gardens of our capital, Nairobi, was icing on the cake. That afternoon, I was excited to be in Kisumu City to meet my boss as he outlined the work ahead of me and the promise that was in front of me to learn new things and make visible change.

On hand to make this transition for me successful was Matt Berg, Dr. Patrick Mutuo and Dr. James Wariero, my immediate supervisors, the MVP Sauri health team and the entire MVP Sauri Team. And of course, we had the Sauri Community Health Workers (CHWs), whom I have come to work closely with as they are the people on the ground utilizing the ChildCount+ system.

One friend and colleague, Samson Gejibo, really made it far much easier for me to hit the road running. ChildCount+ had just been on for close to a month, and I just joined in and continued with the CHW training and follow-up. The CHWs were excited to get immediate feedback from the system, and since Samson kept them on their toes, whenever we got a wrongly formatted message in the system we had to call them and remind them of the format. This saw considerable improvement in the quality of information that was collected and less mistakes.

Samson Gejibo explaining the Patient Registries to the CHWs

Thinking about it now, one of my first programming tasks was to generate a performance report that among other information indicated the accuracy of the CHWs in terms of the number of messages that were well formatted compared to the total number of messages that were sent per CHW. This performance report was shared with the CHWs by their Facilitators on weekly meetings; it was easier to identify which CHWs needed more training and also pushed them to be more accurate with their SMS reporting. All this experience enabled me to learn a lot about the python programming language as well as RapidSMS, the application framework that ChildCount+ is built upon.

Then came the measles campaign, the most hectic time so far and one of my most exciting and busy times with the project. The health team had the idea that they needed to know which children in the system were eligible for measles immunization, which among them had been vaccinated during the campaign period and which children the CHWs should concentrate on in trying to go to their homes to ensure that they were brought to the outposts and health facilities. We came up with a message format where CHWs could send the patient IDs of children who had been vaccinated: this message was communicated to the CHWs when they received a complete list of Children who were 9 months and older that they would be targeting in their outreach. It was simple enough for them to understand and those who had difficulty simply called in and the message format was explained to them. I received the most calls per day ever; it was a one-man call center, but it was worth it. With all the calls, the feedback exchange between the CHWs, facilitators and health team, the campaign was very successful.

Matt, Samson and I

It has been quite an experience: did one system rewrite and participated in another ChildCount+ implementation, took my first trip outside the country (to Uganda) as well as my first flight ever, participated in trainings (and at least now I can speak in front of a crowd), did demonstrations, as well as met very important people including Professor Jeffrey Sachs, and had an opportunity to make an impact on the Sauri cluster community through technology and my passion in programming.

Dickson’s work was recently mentioned in the NYTimes article: Shower of Aid Brings Flood of Progress.  Samson is beginning a PhD program where he will focus on mobile health.

The Lancet estimates that 200 million children under-five in developing countries do not reach their cognitive, physical and social potential due to a number of biological, environmental and social risk factors that they are exposed to during the critical early stages of their development. For example, stunting, a direct result of chronic malnutrition and infection, is directly linked to poor cognitive and educational performance. It has been shown that for every 10% increase in stunting, the proportion of children reaching the final year of primary school drops by 7.9%. Correspondingly, with every 10% increase in the prevalence of poverty there is a 6.4% decrease of children entering their final year in school.

Children are also exposed to a number of psychosocial risks including under-stimulation, maternal depression, exposure to violence and environmental contamination (unsafe drinking water, smoke inhalation and heavy metal exposure), and lack of access to education. Such risks are often linked to extreme poverty and are exacerbated by high fertility rates.

On Tuesday, we had the pleasure to present ChildCount+ to a group of the world’s leading researchers on early childhood development (ECD) research conference hosted at by UNICEF. It was terrific to learn about the current research in this emerging field. While great strides have been made in recent years, the participants also identified critical knowledge gaps where there is still so little known.

ChildCount+ focuses primarily on child and maternal survival and addresses some of the core health risks like malnutrition, malaria and preventable diseases that affect early childhood development. We were, however, able to use our time at the retreat to identify some potential ways ChildCount+ could be adapted to more directly support ECD.

Health and ECD Messaging

One of the most important techniques available to promote ECD is simply raising awareness to parents, health workers and teachers on best practices for basic sanitation, nutrition, health and cognitive stimulation. In addition, it is helpful to provide parents and primary caregivers with pragmatic advice on how to look for the key physical and cognitive stages of development in their children.

One phenomenal resource for this is the Facts for Life program by UNICEF.   Besides providing key lessons on breastfeeding, nutrition and growth, immunization, malaria, HIV/Aids, injury and prevention, disasters and emergencies, it also has an important section on child development and early learning. Included in this section are child development milestones that provide a parent with clear guidance on what a child should be able to do by specified ages (1 month, 6 months, 12 months, etc); it also provides concrete examples on how to stimulate the child and provides warning signs for the parents to watch for.

Source: Facts for Life

Since the hard work of developing proven content is complete, ChildCount+ could be used to send Facts for Life messages by SMS directly to CHWs and the parents of children registered in the system. This could be a means of providing effective, and potentially fun, supplementary and continuous education on ECD best practices (to foster better parenting).

School Safety Net

Working with our education team, we have also looked at how ChildCount+ could be used to create a School Health Safety Net program. Since ChildCount+ creates a living registry of all the children in a community (complete with their ages) it should be possible to provide schools with a list of all the community’s school age children at the beginning of each school year. The schools could then use ChildCount+ to ensure that all children (especially girls) are enrolled for at least their first two years of school – the critical period where most drop-outs occur.

In addition, the School Health Safety net would strengthen the link between community health care workers and teachers — important secondary caregivers to all children. Through a simple report, a teacher would be able to notify a CHW when a child has been absent from school for an extended period of time, if they become sick or injured or if the teachers suspects maltreatment (abuse, malnutrition, sanitation) problems at the home. Similarly, a teacher could be notified by the CHW when a child is found sick at home.

Cash Transfers or Mobile Based Incentives

While the value of cash transfers in ECD is still hotly debated, mobile platforms like ChildCount+ could be used to facilitate the transfer of money or vouchers to primary caregivers of children. SMS based news feeds of crop pricing, soccer scores, etc. could be used as a non-monetary incentive to reward caregivers (especially fathers) for good parenting.

Notes

• The full version of the Facts for Life book (4th Edition) can be downloaded here.
• Download  the ChildCount+ presentation at the UNICEF ECD Conference
• Congrats to William Salîm Gaudin (son of Renaud — one of the lead ChildCount+ developers) who turns one today!