Back 35944 - Project Support (Data Management) for Sistem Monitoring Imunisasi dan Logistik Secara Elektronik (SMILE) Project - SC 4 - Jakarta - (For Indonesian Nationality Only), Jakarta

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Indonesia has a generally well performing immunization program but there remain important discrepancies within and between regions and according to UNICEF there is a persisting immunization gap of 1.9 M children under immunized1. Access to immunization and adequate coverage is a key element of the Universal Health Coverage which Indonesia is committed to attain by 2019. Central to the immunization program is the vaccine supply chain. Assessments of the vaccine Supply Chain Management in Indonesia reveal (among other issues):

• Poor visibility and unreliable stock monitoring (no real time stock monitoring) leading to poor planning, unequal distribution and delivery (e.g. demand-supply mismatch) and reactive management;
• Suboptimal cold chain monitoring leading to wastage;
• Substandard reporting, data flow and quality assurance on data;
• Immunization workforce capacity (distribution, skills set, workload, etc.)

These issues, in turn, cause delayed progress, limited impact (by constrained coverage and prolonged stock out), stalled new vaccine introduction and suboptimal immunization at population level.

Contextual factors negatively impacting the vaccine SCM in Indonesia (and immunization overall) include the decentralization of a complex health system, extreme geography imposing physical and logistical challenges for vaccine supplies and information flow and ‘people factors. The later can be loosely described as including human resources landscape in the immunization program (supply side) and a range of social determinants comprising varying degrees of community awareness and acceptance of immunization (based on level of education, belief systems, agency and socioeconomics).

Although it is playing a critical role, vaccine Supply Chain has received comparatively little investment. Pressed to meet its commitment to Universal Health Coverage by 2019, Indonesia is in urgent need of innovation to improve vaccine supply chain management.

A pilot project was initiated -with the support from UNDP- in two districts, Bogor and South Tangerang in West Java and Banten Provinces, respectively. The pilot project uses the Electronic Vaccine Intelligence Network technology (eVIN) which transformed the vaccine supply chain in India and therefore looks supplies and storage temperature across the vaccine cold chain points. SMILE (eVIN) also helps track storage temperature of vaccines through SIM-enabled temperature loggers attached to the cold chain equipment. At the core of the project is a human resources development component supported by a defined supervision plan and a rigorous training regimen. The system provides an integrated solution to address widespread inequities in vaccine coverage by supporting state governments in overcoming constraints of infrastructure, monitoring and management information systems and human resources.

As of July 2018, the system has been set up in 54 Puskesmas (Community Health Care Centre) in the two Provinces. The project engages with stakeholders at all levels: Ministry of Health (MoH), Provincial Health Office (PHO) and District Health Office (DHO). Series of trainer training for cold chain handlers and immunization staff have been completed. Trainees equipped with handsets implement SMILE (eVIN) on a daily basis and the system is live since mid-July 2018. Specialized staff recruited by UNDP are constantly monitoring the implementation of the pilot. Cold chain data and vaccine stock (utilization) data is simultaneously updated in the SMILE (eVIN) application and uploaded on a cloud server which can then be viewed by program managers at district, province, and national level through online dashboards.

UNDP is scaling up the SMILE solution across 600 Community Health Centres in Indonesia in 2020 to improve the vaccine cold chain logistics system, as part of the GAVI Post Transition Engagement grants for the Government of Indonesia. As part of initial coverage, SMILE has already been piloted in 58 cold chain points in two Cities in two Provinces, West Java and Banten. Moving forward, UNDP has now been asked by the Govt. of Indonesia to expand SMILE implementation to further include 600 cold chain points in 9 additional provinces. The final intent is to expand the SMILE implementation to all cold chain in Indonesia in a phase wise rollout during 2020-2024.

Under the overall guidance of the Data Management Officer, the Project Support provides project support services to ensure high quality of work, ensures accurate, timely and properly recorded/documented service delivery.

DUTIES AND RESPONSIBILITIES

1.

Support the project team to ensure effective project planning and implementation focusing on achievement of the following results:

• Compiles, summarizes, and presents basic information/data on specific project and related topics or issues.
• Implement project standard operating procedures in line with the government and UNDP’s regulations;

2. Support to the effective reporting on progress of project implementation

• Assist Data Management Officer to develop research plan, including designing the research methods to dissemination plan.
• Support Data Management Officer in designing research technical approach and tools
• Implement the research and supporting supervisor in mobilization of field team to implement the research
• Prepare research ethics clearance for the research implementation.
• Establish communication channels and partnerships with key stakeholders at subnational and central level (e.g. MoH, Committee PCPEN, Health Offices, vaccine manufacturer, etc.)
• Assist Data Management Officer to collaborate with project team to design and conduct internal evaluation, and survey, be part of its implementation which include facilitating participatory evaluation with key stakeholders, analysis process and completion of the project
• Assist Data Management Officer in working with counterparts of SMILE projects, especially with Ministry of Health, and the lead of the Committee of PCPEN to translate research findings into advocacy tools e.g. position papers and policy briefs
• Assist Data Management Officer to advise the Project team based on the research results for enhancing the project effectiveness as well as provide technical advice and support
• Assist Data Management Officer in working with UNDP country office’s communication team to develop and strategize stakeholder engagement on the issues, research and its findings, and meaningful youth participation in research
• Other duties as assigned by Data Management Officer that are consistent with the SOW

3. Support strategic partnerships, communication and support to the implementation of resource mobilization

• Support in updating database of the relevant public and development partners private sector, civil society and other stakeholders who are counterparts for the project;
• In coordination with UNDP’s Communication unit and other relevant counterpart communications department, support documentation of the project activities as a tool to communicate results, deepen stakeholder knowledge and buy-in to the project, and resource mobilization for the project.
• Effective contribution and support of with data collection for gender analysis and gender mainstreaming at project level

4.Supports knowledge building and knowledge sharing focusing on achievement of the following results:

• Participation in the trainings for the operations/ projects staff.
• Contributions to knowledge networks and communities of practice
• Effective contribution to learning and knowledge sharing in gender analysis and gender mainstreaming

5. The incumbent of the position should avoid any kind of discriminatory behavior including gender discrimination and ensure that

• Human rights and gender equality is prioritized as an ethical principle within all actions;
• Activities are designed and implemented in accordance with “Social and Environmental Standards of UNDPâ€;
• Any kind of diversities based on ethnicity, age, sexual orientation, disability, religion, class, gender is respected within all implementations including data production;
• Differentiated needs of women and men are considered;
• Inclusive approach is reflected within all actions and implementations, in that sense an enabling and accessible setup in various senses such as disability gender language barrier is created;
• Necessary arrangements to provide gender parity within all committees, meetings, trainings etc. introduced.

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