RFP# LRPS-2022-9172720 and bidders list: Management and institutional capacity building of National Nutrition Info. System of Bangladesh&Emergency Nutrition Info. Module for nutrition data collection
TERMS OF REFERENCE FOR INSTITUTIONAL CONTRACT
Title of the assignment
Management and institutional capacity building of National Nutrition Information System of Bangladesh & Emergency Nutrition Information Module for nutrition data collection in the Rohingya camps of Cox's Bazar.
Purpose
Strengthen the design of the NNS website (including Mukto information platform, nutrition profiles, CCTN training database and adolescent MIS) and introduce new technologies (e.g. use of QR code for strengthening monitoring, integrating SMS gateway/use of RapidPro for automatic dissemination of PNRI/DLI performance to respective mangers and service providers); Support in enhancing institutional capacity of NIPU/NNS and technical skills of health managers and community health workers on data collection, analysis and utilization for evidence-based planning and decision making using NIS tools; enhance and use of DLI reporting system to further increase the coverage as well as quality of essential nutrition services;
Develop u-NIS module for data visualization platform, develop training package for use of u-PNRI, and build capacity of service providers to use Data Visualisation tools for Urban HMIS system; Engage and oversee collaboration with MIS & HiSP for data driven advocacy;
Review and upgrade the Emergency Nutrition Information Module's (ENIM) structure to ensure its interoperability with other humanitarian databases responding to the Data Protection Impact Assessment requirements; Integrate ENIM into NIS; build users capacity and provide customer care and technical support.
Location
Dhaka & Cox's Bazar, Bangladesh.
Most of the fieldwork will be implemented in Cox's Bazar's Rohingya camps and host communities. seldom field visit anywhere of Bangladesh might require.
For technical skill development of health managers and workers
The contractor must constantly be present during the fieldwork phase, which includes intensive testing especially SQA, (Software quality assurance), building the capacity of the end-users (Govt. managers and workers, site supervisors, project managers, UN programme coordinators and nutrition sector's
coordination unit) and provide customer care within the agreed contract period.
Estimated Duration
- Contract signing, mobilisation: 1 month
- Review MUKTO & upgrading the MUKTO & ENIM (fixing the structure bugs): 1 month
- Develop interoperability of MUKTO and ENIM with UNHCR's and WFP's relevant databases: 1 month
- Documentation for certifying the Data Protection Impact Assessment: 2 months
- All technical documentation like SRS, data flow diagram, Entity-relationship, database structure and assurance quality coding: 1 month
- Training for end-users along with end-user training manual: 1 month
- Rolling out the ENIM in all camps: 2 months
- Customer care support period and final report: 3 months
- Total: 12 months after the contract signing
Reporting to Technical Supervisor of this assignment
- Golam Mohiuddin Khan, Nutrition Specialist, UNICEF, BCO, Bangladesh for NIS & Karanveer Singh, Nutrition Manager, UNICEF and Bakhodir Rahimov, Nutrition Sector Coordinator in Cox's Bazar, Bangladesh for ENIM
- Technical team:
- UNICEF nutrition section’s programme staff
- Mohammad Shahnewaz Morshed, information management officer, UNICEF, nutrition section in Cox's Bazar, Bangladesh
- Abid Hasan, Information management officer, nutrition sector in Cox’s Bazar, Bangladesh
- Muhammad Abu Bakr Siddique, Nutrition Officer, UNICEF, BCO
- Fazlay Rabby, ICT specialist, UNICEF, Dhaka
- Regional ICT specialist
- Technical team:
- BACKGROUND
NIS
To address undernutrition systematically and at scale, the Government of Bangladesh (GoB) launched the National Nutrition Service (NNS), which aims to mainstream nutrition within the existing health and family planning delivery systems. As part of this, it was necessary to track the provision of the nutrition services through a comprehensive data collection and reporting system. However, between two wings of the Ministry of Health and Family Welfare (MoHFW), DG Health Services (DGHS) and DG Family Planning (DGFP), nutrition data collection was not standardized. To strengthen the Information Management System (IMS) for NNS is a key priority, it was decided to design and operationalize a comprehensive Nutrition Information System (NIS).
UNICEF received funding from the Bill and Melinda Gates Foundation and CIFF to design and operationalize the NIS. Besides this, the World Bank also requested UNICEF to support the Government to engage with the districts in two Divisions (Chittagong and Sylhet) to achieve the targets for 2 new nutrition Disbursement Linked Indicators (DLI) for $ 64 million Pay for Performance (P4P) financing by the World Bank in the Health Sector programme and generate coverage data through an automated system.
In 2019, UNICEF hired an Information Technology Specialist to operationalize the NIS system, an assignment which included: operationalizing tracking of PNRI (collected using DHIS2) through the Mukto (Data Visualization Platform/tool) platform; designing and implementing a data compilation, reporting and validation system for the DLIs; enhancing institutional capacity and technical skills of health workers on data utilization for evidence-based planning and data for decision making using the Mukto System; expanding current NIS to start collecting key emergency nutrition indicators; and connecting DGHS and DGFP HMIS systems through Mukto to create an integrated information platform to track Priority Nutrition Results and Indicators (PNRI). Moreover, using the NIS system, district engagement was initiated to support data-driven decision making.
The Mukto dashboard was designed, developed and operationalized to strengthen insights into nutrition service delivery and coordination among key stakeholders (at national, division and district level), to enhance decision-making, strategic planning and advocacy in nutrition through systematic data collection, analysis, interpretation, and dissemination. Mukto analyzes nutrition service delivery data from various government sources to help facilitate strengthening and improving nutrition service delivery and reporting through tracking progress, performance, coverage, and impact of priority nutrition indicators.
A system was also developed to share monthly reports of the PNRI and quarterly NNS scorecard comprising of the 4 PNRI for NNS-OP for national, division, district and Upazila levels. The data from DHIS2 is automatically extracted every month and an NNS scorecard for two quarters is shared with each district through an autogenerated email with district specific recommendations. GIS maps indicating performance of different facilities have been developed and disseminated. The system architecture has thereby been extended for automatic extraction of Upazilla and facility level data and integration into the Mukto platform. DGHS MIS has agreed to develop a separate instance for nutrition within the DHIS2 database. DGFP has thereby consented to participate in the process of developing an online data recording and reporting system for their community facilities for nutrition indicators.
Moreover, using the DHIS2 individual tracker, an online data compilation and reporting system was designed and operationalized to report on DLI results on a real-time basis. In addition, an application was designed which connects the DHIS2 Individual tracker with Rapid Pro. SMS is sent to over 3,000 health workers with their score monthly as well as use it to collect feedback and challenges and this has also helped to address supply gaps in a timely manner.
The Nutrition Information Planning Unit (NIPU) and IPHN/NNS staff have been supported to enhance their capacity to effectively use the information systems and tools developed as well as to institutionalise their operationalization. The PNRI data collected through all nutrition service delivery points and visualised in Mukto, the NNS Score Card, DVT, and mapping tools, are used by NIPU to engage with districts to reduce barriers to increase coverage of NNS.
Urban NIS
Previously, no uniform approach and reporting mechanism was engaged for monitoring of essential nutrition service delivery in urban areas. Ad- hoc support to nutrition service delivery in PHC, private, and NGO platforms without sufficient evidence generation and exit strategies made it impossible to collect and analyze nutrition service delivery data in a uniform and coordinated manner. This hampered structured and structural support to urban nutrition service delivery platforms and quality and coverage control. With the support of Unicef, the Government has created an urban nutrition data collection form, which was incorporated in DHIS2 in 2021. Orientation and training on urban nutrition service delivery reporting through DHIS2 has been conducted in four city corporations (DNCC, DSCC, Gazipur CC, and Narayanganj CC). Urban nutrition data reporting will be expanded to 12 city corporations, and there is a demand from Government to generate PNRI for urban settings.
ENIM
An Emergency Nutrition Information Management Module (ENIM) has been developed at the request of the Government of Bangladesh to support electronic data collection on nutrition during emergencies. This ENIM was first developed to support data collection in the Rohingya refugee camps in Cox’s Bazar, and has been recommended to be scaled up by IPHN.
In 2020, UNICEF's ENIM team from Dhaka facilitated training for all nutrition sector partners, including the UN. All site supervisors from 46 integrated nutrition faculties were trained on ENIM. UNICEF in Cox's Bazar procured computers, Raspberry Pi (Wiki 2021) and other necessary equipment for running the ENIM from each integrated nutrition facility. In June 2020, all UNICEF-supported integrated nutrition facilities (Nutrition sector map 2021) received IT equipment and entered field data in the ENIM. UNHCR expressed a readiness (NSCU 2021) to use the ENIM after completing the Data Protection Impact Assessment (UNHCR, DPIA 2015).
UNICEF's implementing partners faced ENIM's problems, including different levels and types of technical challenges (ENIM challenges Nov 2020). Besides that, the nutrition sector proposed to add other cross-cutting programme indicators for recording and reporting disability, early childhood care and development (ECCD), mental health and psycho-social support (MHPSS) services providing in the integrated nutrition facilities.
A meeting on ENIM expansion to all of the camps was held between UNICEF and UNHCR, facilitated by the Nutrition Sector, in March 2021 (Nutrition sector Minutes of the Meeting, March 2021). The parties agreed to run a DPIA (UNHCR, DPIA 2015) within UNICEF, fix all technical challenges, add required additional recording and reporting indicators and present all technical and programmatic ENIM documents to UNICEF and UNHCR. Besides that, the ENIM requires interoperability features with other existing humanitarian databases such as UNHCR's ProGress (UNHCR 2021). Moreover, the ENIM should receive constant technical support (customer care) after completing the System in all programme and operational areas of the nutrition sector.
As a result of these activities, the following key results have been achieved:
- the coverage of PNRI /services has increased from 52% to 71% in the past six months. These priority indicators are NNS-OP main results as well as for CPD/RWP
- because of the system designed and effective use of it has results in significantly increased the DLI related services. For instance, coverage of maternal nutrition services has increased from 23% in 2018 to 65% in Dec 2019, each % increase is linked with US$ 200,000 P4P
- prior ENIM system, data collection and recording were conducted through manual registers and wasn’t standardized. Health workers were spending 3-4 hours every day on recording the data and managing multiple registers. The system will be expanded in all camps in the next six months.
Apart from these, a shared vision for collaboration on data driven advocacy with a2i has been forged, a prototype on interactive multifunction nutrition sector with information and document repository and data visualization platform to track performance.
1. Objectives, Purpose and Expected Results
UNICEF and NNS plan to further the refinement and content management of the existing NNS websites and its related DVTs (MUKTO, Profile, training database). For further institutionalization of these DVTs and to enhance their use, the government official’s technical skills needs to be developed for post-contract management of these websites.
UNICEF and the nutrition sector's coordination unit (hereafter referred to as NSCU) plan to upgrade the current ENIM system, undergo Data Protection Impact Assessment (UNHCR, DPIA 2015), train ENIM end-users and ensure the presence of continuous technical support (customer care) for all humanitarian and government ENIM users.
The ENIM has been already structured (UNICEF Dhaka ENIM 2020) and pre-tested in Cox's Bazar nutrition operations. The ENIM collects individual data, aggregates it and reports back to the relevant stakeholders.
The objectives of the required service are following:
- Strengthen the design of the Mukto information platform and introduce new technologies such as digital learning/engagement portals and quality assurance measures and machine learning guided prescriptive mentoring and counselling
- Support in enhancing institutional capacity of NIPU/NNS and technical skills on community health workers data utilization for evidence-based planning and data for decision making using NIS tools
- Enhance use of DLI reporting system to further increase the coverage as well as quality
- Develop training modules and build capacity of service providers to use Data Visualisation tools for Urban HMIS system
- Conduct a technical review of the System based on the existing documentation to understand the System's technical architecture and develop an inception report with recommendations on how the System can be made interoperable UNHCR ProGress.
- Review the current usage of SAM offline servers to ensure the System can operate in almost real-time and reduce the risk of data duplication. This task includes constructing and structuring the cloud-based database for secure storing of the collecting individual and compiled data.
- Restructure the ENIM architecture for adding the following indicators from the cross- cutting programme:
- Disability marker:
- Does the child under five admitted to the nutrition treatment programme have any signs of disability according to simplified Washington criteria of disability ('Disability Criteria' NS 2020)?
- Disability disaggregation will use the age and sex of the individual data entered to ENIM.
- Work in liaison with UNICEF and UNHCR to evaluate usage of QR codes to manage data disaggregation and management of beneficiaries’ records.
- Disability marker:
- Early Childhood Care and Development (ECCD):
- Register whether a malnourished child is enrolled in the ECCD programme.
- Register whether a caregiver received an ECCD counselling session
- Mental Health and Psycho-Social Support (MHPSS)
- Register whether a caregiver of a malnourished child under five, adolescent girl or malnourished pregnant and lactating women received MHPSS counselling session.
- Re-design ENIM's data collection, transfer and storage using recommended Data Protection Impact Assessment (UNHCR, DPIA 2015) methodologies and tools.
- Re-design the ENIM's dashboard according to the hierarchy and levels of authority (data entry level for the site staff, data validation level for the project managers, and consolidated data view for other stakeholders).
Develop a set of documentation to support CLASSI and Data Protection Impact Assessment and implement the recommendations thereof in the System. in consultation with the nutrition sector's coordination unit, UNICEF's nutrition and IT sections in Cox's Bazar and Dhaka.
- Develop a mobile app along with a local database which will store the data locally like SQL lite database and sync and update the central server whenever the device will be connected via internet outside the camp
- Develop training materials in English and Bangla languages, user manuals and job aids on the ENIM, including facilitator and participant's training manuals, posters on the ENIM's workflow, recording and reporting, pocket guides.
- Train the end-users (staff of the integrated nutrition facilitates, project managers of the implementing NGO, UN agencies, government representatives from the Civil Surgeon and RRRC offices, and information management officers from the ISCG).
- Provide customer support, technical and systematic maintenance services, which also includes fixing 'bugs', malfunctioning of the System, maintain and improve data security and protection, test possibility of 'hacking' the data, facilitate refresher training for the end-users during the agreed period.
- Description of Assignment
National System
Monthly Activity:
- Consultation with Govt. and partners
- Internal section and organization briefing
- Monthly progress update
Consultancy Reporting with recommendations and next steps- Quarterly
Strengthen the design of the Mukto information platform and introduce new technologies such as digital learning/engagement portals and quality assurance measures and machine learning guided prescriptive mentoring and counselling
- Develop Project Implementation plan to ensure quality assurance upon consultation with technical team and NIS assessment
- Based on the NIS assessment, refine Mukto dashboard and develop community visualisation tools. New system architecture for Mukto and online community visualisation tools
- Based on the revised Mukto system, develop required tools and SOPs for its use and orientation and resource tools
- Provide technical oversight to rollout the new system in 3 districts for 3 months.
- Expand the new system to FPMIS and Urban
- Develop automated nutrition service coverage monitoring report with scorecard and auto generated district, upizilla report with health facility specific actions.
- Revise and finalize the system based on the post 1 month training assessment of utilization of health facility dashboard
- Work with documentation company/Communication section to develop resource kit/operational guideline for Mutko with handover plan
Enhance data systems for capturing and visualizing the Disbursement linked indicators (DLI) and strengthen the capacity of the NIPU team in using these tools and implementing them in various levels of the health system
- Set up a system to send reminders to registered mothers to attend follow up ANC visits, highlight the all DLI services with nutrition message and also establish a SMS process to encourage health workers provide all required DLI services
- Enhance the current DLI Dashboard to visualize non-reporting facilities and send automated report in collaboration with MIS. System developed to send notification
- Create a system for automatically developing maps for coverage, reporting rates and quality indicators.
- Expand the system to capture quality indicators
- Set up nutrition e-tracker Generate report from Individual DHIS2 tracking system on analysis of number of pregnant women registering is increasing
- Enhance the DLI Tottho system to get information on supply gap on nutrition commodities throughout the country using Rapid Pro.
Support in enhancing institutional capacity and technical skills of health workers data utilization for evidence-based planning
- Mentor NNS team (specific PM and DPMs) to support districts to effectively utilization of the information platform and track results
- Lead engagement DG MIS in collaboration with NIPU/NNS, CBHC, MNCAH, UHC to enhance DHIS2 system improvement to enhance the efficiency of nutrition data management
- Engagement with MIS team to oversee the newly established separate DHIS2 Nutrition Instance
- Design work process for automated generation and dissemination of NNS score on quarterly basis pulling data directly from DHIS2. Automated Scorecard posted in Mukto and automated email to stakeholders
- Auto generation text notification from newly developed system for all service provider, health managers
- Assist Capacity Building Specialist in NIPU and relevant PMs and DPMs of NNS to refine and enhance functionality of CCTN database and dashboard
- Develop interactive online Nutrition Profile in collaboration with BNNC and NNS/NIPU
- Develop and implement RTMR tools with QR technology to enhance efficiency and focus of mentoring /coaching during health facility visits based on historical performance data, Realtime monitoring data and observation from supportive supervision stored in RTMR and supportive supervision databases linked with QR.
- Documentation of RTMR and Rapid Pro activities
- Organize quarterly NIS network meeting and work with writing consultant to document the meetings
- Oversee use of RapidPro (Pusti Totthyo System)
Develop and build capacity of service providers to use Data Visualisation tools for Urban HMIS system
- Provide technical support to test the U-PNRI in two City corporations and document its implementation
- Based on the piloting findings data recording and tools will be refined and training manuals and mentoring tools will be finalised for national scale up in consultation with UNICEF program officer, NNS/NIPU and MIS
- National advocacy meeting with urban stakeholders and donors managing urban health facilities aimed at orienting them towards using the u-PNRI and system for reporting (this is part of agreement)
- Support to MIS department to develop data visualisation platform, linked to the current Government NIS system
- Development of training package for use of u-PNRI, and roll out of training with Government leadership
- Then national scale up plan will be developed to build capacity in all 12 CCs and training will be rolled out with Gov leadership.
- Also RTMR approach will be operationalised to monitor implementation
Design and operationalize DVTs for Maternal and Adolescent nutrition and use of technologies for service improvement
- Operationalize adolescent nutrition programming results framework dashboard to track implementation
- Refinement of already developed system and migration into Gov system
- Provide technical support during operationalization of the system
- Integration of information in data visualization tool
- Develop automated monthly performance report and send to different level focal persons and users
- Oversee management of use of RapidPro and its institutionalization
- Develop Workplan developed with different workstreams
- Develop business case and strategy to instutionalise it into Gov. system
- Map activities and performance of COVID related nutrition activities
- update maps on SAM admission vs identification by district
- quarterly update SAM assessment dashboard
- data quality assessment tool with dashboard
- Refinement of existing RTMR platform for automated analysis.
Replication of ENIM in NIS
- Migration of ENIM onto the Government server
- Expand national NIS to integrate ENIM
- Enhance government capacity for the government to manage ENIM as part of NIS
- Managing ENIM portal
Emergency Nutrition Information Module (ENIM)
The ENIM prototype was already created and tested in the Rohingya camps in August 2020. During the field testing in the integrated nutrition facilities, several 'bugs', technical and system problems were found. Besides that, the integrated nutrition facilities' staff requested on-the-job training, user guides and manuals and job aids to support running the ENIM in the field.
The contractor evaluates the current ENIM structure and data collection system and includes the main finding in the inception report.
Nutrition sector partners successfully tested different cross-cutting programme, which included disability, ECCD and MHPSS in 2020. However, ENIM has not adopted the mentioned cross-cutting programme recording and reporting. Therefore, it is proposed to add the new recording and reporting cross-cutting indicators:
- Tick-box for disability: the admitted child has or does not have disability referring to the simplified Washington criteria on disability ('Disability Criteria, NS 2020').
- Tick-box for ECCD:
- A child admitted to the nutrition treatment programme is enrolled or not on the ECCD programme.
- A caregiver of a child under five admitted to the nutrition treatment programme receives or not the ECCD counselling session.
- Tick-box for MHPSS:
- A caregiver of a child under five, pregnant and lactating women (by category of the service beneficiaries), receive or not the MHPSS support if required.
- Gender: all beneficiaries must be segregated by age and gender.
Data Protection Impact Assessment
DPIA (UNHCR, DPIA 2015) aims to protect all individual data entered into the ENIM. It is a common tool for ensuring the required data security and protection level, including the camps' nutrition services. The contractor should develop a system guaranteeing the protection of individual beneficiary's data.
Using the guidance of UNICEF's IT unit, the contractor will develop the IT data security and protection environment for the ENIM. At the same time, the contractor must prepare a set of documents for running the Data Protection Impact Assessment. The contractor must also submit the documents to the relevant government institutions for getting a confirmation and certificate of the required level of data security and protection as applicable.
The contractor communicates with the relevant sections of the UNICEF and UNHCR to ensure a harmonised approach for data security and protection. This area of objectives also includes developing a segregated access level to the recording and reporting data, where the individual
beneficiary's data is accessible for the specific camp only. However, aggregated data in a dashboard shape is visible for all stakeholders.
The contractor reflects the findings, results and feedback of UNICEF and UNHCR and presents the final recommendations and conclusions in one of the ENIM workshops for a final endorsement by the nutrition sector's SAG.
Dashboard and data entry
The final data visualisation platform for ENIM is a programme dashboard that summarises achievements by months and presents the consolidated data versus JRP annual targets. The System should allow entering the annual HNO (humanitarian needs overview) targets annually and automatically compare it with the regular monthly (for the BSFP – Blanket Supplementary Feeding Programme) or annually for other CMAM (Community Management of Acute Malnutrition) programme interventions. The nutrition sector's Information Management Officer will provide HNO-related information.
The data entry level should start from the integrated nutrition facility (hereafter referred to as INF). The INF staff should have access to the local data only. However, the project manager should see all camps and integrated nutrition facilities under his or her supervision. The consolidated dashboard should be visual for all external stakeholders, including managers from other camps. The dashboard should give filtering opportunities by camp, month and JRP year.
The System will also be capable of tracking all sort of change made over the period like MUAC cut off or similar things, so sudden increase or decrees of beneficiary enrolment can be defined with cause and dashboard will not only the summary of the program data instead it will use for driving action.
All event like the MASS MUAC screen, VAS deworming will be recorded in the System.
A similar mobile version of the data entry and the relevant dashboards by authority levels are also needed. The data in the mobile devices should be kept locally in the device's memory until returning the internet coverage. Either Wi-Fi or mobile internet initiate transfer of the locally stored data to the central server.
Integrated MAP
An integrated MAP as partner presence will represent all types of partners in the MAP and exported as PDH and PNG or jpg version.
Training and training materials, user manuals and job aids
The contractor develops a set of training materials consisting of the participant's and facilitator's guides. The scheduled training plan covers the needs of all site supervisors (end-users) of the nutrition facilities from 46 camps, project managers of the implementing partners, UN programme staff, nutrition sector's coordination unit, the Civil Surgeon, and RRRC offices ISCG if needed.
Besides the training materials, the contractor develops a user guide in English and Bangla languages and job aids consisting of pocket guides and posters to support the ENIM's workflow. During the ENIM seminars, all those materials should be prepared and handed over to all participants.
ENIM maintenance and customer care
After completing and successfully submitting all mentioned deliverables to UNICEF and the nutrition sector's coordinating unit, the contractor starts providing customer care and system maintenance services for at least six months. For that purpose, the contractor creates a hotline and assigns two dedicated staff for providing customer care support. The phone number, emails and work hours of the customer care team should be present in all training materials, job aids and informed in the seminars. Besides distant customer care, the contractor also has to visit the camps if a more complex problem occurred in the EMIN's System. The contractor should submit the monthly customer care and the system maintenance reports to UNICEF and the nutrition sector's coordination unit in Cox's Bazar.
3.Deliverables
The following outputs are expected to get by the specific time after signing the contract, some of the works can complete simultaneously.
Expected output (deliverable)
Description of the output
Expected timeframe after
contract signing
The contract is signed, and
required resources are mobilised
The contract is signed, resources are mobilised,
and the inception report is drafted.
1 month
Inception Report
Report with evaluation results of the System and set of recommendations for an interoperable system
1 month
National System
Strengthened the design of the Mukto information platform and introduced new technologies such as digital learning/engagement portals and quality assurance measures and machine learning guided prescriptive mentoring and counselling
- Project Implementation plan developed to ensure quality assurance upon consultation with technical team and NIS assessment
- Based on the NIS assessment, Mukto dashboard refined and community visualisation tools developed. New system architecture for Mukto and online community visualisation tools developed
- Based on the revised Mukto system, required resource tools and SOPs for it use developed and orientation of resource tools done.
- The new system expanded to FPMIS and Urban.
- Nutrition service coverage monitoring report with scorecard developed and auto generation of district, upizilla report with health facility specific actions is in place
- Revised and finalized the system based on the post 1-month training assessment of utilization of health facility dashboard
- Resource kit/operational guideline for Mukto developed and handed over
2 Months
Enhance data systems for capturing and visualizing the Disbursement linked indicators (DLI) and strengthen the capacity of the NIPU team in using these tools and implementing them in various levels of the health system
- Set up a system to send reminders to registered mothers to attend follow up ANC visits, highlight the all DLI services with nutrition message and also establish a SMS process to encourage health workers provide all required DLI and nutrition services
- Enhanced and functionalize the current DLI Dashboard to visualize non-reporting facilities and send automated report in collaboration with MIS. System developed to send auto notification
- Created a system for automatically developing maps for coverage, reporting rates and quality indicators.
- Expanded the system to capture quality indicators
- Set up nutrition e-tracker, report from Individual DHIS2 tracking system on analysis of number of pregnant women registering generating
- Enhanced the DLI Tottho system to get information on supply gap on nutrition
commodities throughout the country using Rapid Pro.
2 months
Support in enhancing institutional capacity and technical skills of health workers data utilization for evidence-based planning
- NNS team (specific PM and DPMs) is capacitated to support districts to effectively utilize the information platform and track results
- Enhanced DHIS2 system improvement for effective nutrition data management by engaging with MIS and other relevant stakeholders
- Newly established separate DHIS2 Nutrition Instance is running smoothly
- Work process designed for automated generation and dissemination of NNS score for quarterly basis data pulling directly from DHIS2. Automated Scorecard can be posted in Mukto and automated email can be sent out to stakeholders
- Auto generation text notification from newly developed system to stakeholder is working
- Developed interactive online Nutrition Profile
- Developed and implemented RTMR tools with QR technology to enhance quality, efficiency and focus of mentoring /coaching during health facility visits based on historical performance data,
- Real-time monitoring data and observation from supportive supervision stored in RTMR and supportive supervision databases linked with QR.
- Documented to RTMR and Rapid Pro activities
- Assist Capacity Building Specialist in NIPU and relevant PMs and DPMs of NNS to refine and enhance functionality of CCTN database and dashboard
RapidPro (Pusti Totthyo System) system operationalized and institutionalized
2 months
Develop and build capacity of service providers to use Data Visualisation tools for Urban HMIS system
- Technical support provided to test the U-PNRI in two City corporations and documented its implementation
- Based on the piloting findings data recording and reporting tools are refined and training manuals and mentoring tools finalised for national scale up.
- National advocacy meeting with urban stakeholders and donors managing urban health facilities aimed at orienting them towards using the u-PNRI and system for reporting (this is part of agreement) held
- data visualisation platform developed and linked to the current Government NIS system
- Training package for use of u-PNRI developed. National scale up plan developed to build capacity in all 12 CCs and training rolled out with Gov leadership. RTMR approach operationalised
to monitor implementation
1 months
Designed and operationalized adolescent nutrition programming results framework dashboard to track implementation
- Provide technical support during operationalization of the system and integrate the system in NNS-OP portal
Integration of information in data visualization tool
0.5 month
Develop automated monthly performance report and send to different level focal persons and users. Refined and migrated newly developed system into Gov system•
COVID related nutrition activities are mapped
Updated maps on SAM admission vs identification by district.
Quarterly update of SAM assessment dashboard Develop data quality assessment with data visualization
0.5 month
ENIM in NIS replicated
Migration of ENIM onto the Government server completed. Expanded national NIS to integrate ENIM. Enhanced government capacity of government to manage ENIM as part of NIS
1 months
ENIM Part
The ENIM received additional recording and reporting indicators.
The existing system 'bugs' are fixed.
Tick boxes for:
- Disability tracking: whether a malnourished child admitted to the nutrition treatment programme has or does not have a disability
- ECCD: whether a child admitted to the nutrition treatment programme is enrolled on the ECCD programme
- ECCD: whether a caregiver or mother of a malnourished child admitted to the nutrition programme received ECCD counselling sessions.
- MHPSS: whether a caregiver or pregnant and lactating women (separately for caregivers of children under five admitted to the nutrition treatment programme and pregnant and lactating women) received MHPSS counselling sessions.
- The existed 'bugs' are fixed.
The final consolidated report of the additional indicators should filter and report the following information in the dashboard:
- The number (and proportion – the number of disabled children out of the total admitted to the nutrition treatment children under five, if possible, to visualise) of malnourished children admitted to the nutrition treatment (by OTP and TSFP) with disabilities.
- The number (proportion of children with disabilities out of the screened in the communities) of disabled children under five identified through the community screening programme.
- The number (proportion of children under five admitted to the nutrition treatment programme) enrolled on the ECCD programme.
- The number (proportion of caregivers of children under five enrolled on the nutrition treatment programme) received ECCD counselling session.
The number (proportion of caregivers of children under five enrolled on the nutrition treatment programme – category 1; and pregnant and lactating women – category 2) of caregivers and separately pregnant and lactating women received MHPSS
counselling session.
1 month
The ENIM is interoperable with different platforms such as UNHCR's ProGress.
The ENIM should receive interoperability feature with different databases, including UNHCR" s ProGress. For that purpose, the nutrition sector's coordination unit (IMO) will connect the
contractor with the relevant protection and data team from the UNHCR and WFP.
1 month
Data Protection Impact Analysis is completed.
The ENIM should respond to UNICEF and other UN agencies' Data Protection Impact Assessment requirements in the Rohingya crisis response (UNHCR and WFP). The required documents should be prepared in consultation with UNICEF's ICT team in Dhaka and Cox's Bazar. The UNICEF's ICT team will submit the set to the UNICEF Regional Office and HQ IT division for revision and conclusions. After that, the contractor has to work with UNHCR and WFP for getting a similar response on DPIA results. All information should be consolidated and submitted to UNICEF's ICT team and the nutrition sector's coordination unit.
2 months
Training materials, including facilitators and participants' guides in English and Bangla, are ready for dissemination. Besides that, the job aid, pocket guide and posters supporting using the
ENIM are prepared for printing and dissemination.
The user guides, training materials, facilitator's and participant's guides should be prepared and pretested (English and Bangla versions).
1 month
ENIM is fully operational in all camps.
The sector partners use ENIM: record and report (rolling out the new ENIM in the field).
2 months
Customer care support for ENIM user is provided, and the ENIM system technically is well maintained.
Final report and invoices are submitted and processed.
The contractor will provide customer care support for end-users of ENIM during the agreed period and maintain the System free from any 'bugs'.
3 months
4.Reporting requirements
The contractor submits the inception report within the first two weeks of the contracting period. The inception report should describe the technical and programmatic process and show the tasks' understanding depth.
It is expected that the contractor submits quarterly progress reports with a description of core milestones as well update activity progress in real time basis. All training materials should be proofread and ready for printing together with job aids, posters and pocketbooks.
The final report is expected before the start of the customer care and maintenance periods. The grand report should be developed and submitted together with the system recommendations at least 2 weeks before the contract ends.
5.Payment Schedule
Payment Schedule
- 30% of the total fee after adding all-new indicators and submission of the inception report
- 30% of the total fee after completion of DPIA and upgradation of existing DVTs
- 10 % of the total fee after submission of the training materials and training of the core end- users
- 10% of the total fee after completion of handover of NIS to NNS/NIPU
- 10% of the total fee after the first 1.5 months of the customer care period
- 10% of the total fee after the next 1.5 months of the customer care period and submission of the final report.
6.Qualification requirement of the company/institution/organisation
Team Personnel qualifications and experience
The assignment will require in addition to other technical staff with the following qualification and experiences:
Institutional capacity and experience
- At least eight years of experience in IT/Information systems, Software development and Database management
- Proven experience of five years in working with and developing complex interoperable systems for data collection, visualization and dissemination including understanding and experience of DPIA, Information Security Assessment, application development with system analysis, implementation of data management system as well as GIS analytic solutions and Python/R/D3
- Strong knowledge and understanding of emergency and routine data monitoring
- Proven experience in working with the public sector. Having previously worked with the Ministry of Health and Family Welfare in Bangladesh is an asset.
- Experience working on data collection and protection in emergency contexts.
- Strong capacity to coordinate with and actively engage multiple stakeholders within a politically and geographically complex setting is a must
- Proven experience in developing knowledge management plans, as well as key knowledge dissemination products both in English and Bangla
- Expertise in capacity building of stakeholders, as well as developing capacity building tools
- Experience with UN agencies, large NGOs or Government a must
- Experience working in Bangladesh and in emergency contexts an asset
- Knowledge and understanding of nutrition and nutrition priorities in emergency as well as urbam and adolescent nutrition programming
In addition to the above minimum requirement, the firm is free to propose in their technical proposal professionals who will be required for this assignment.
Reference (please copy the web links, past in your web browser)
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