SCALING UP NUTRITION LEARNING AND EVALUATION (SUN LE)

REPORT: 2019 DISTRICT DATA USE ORIENTATION

DISCLAIMER: The authors’ views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government.

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DISTRICT DATA USE ORIENTATION REPORT

(2019)

Submission Date: 02 March 2020

Prepared under: Scaling Up Nutrition Learning and Evaluation (SUN LE) Project USAID Contract Number 72061119C00003

Prepared by: Mr. John Manda, Learning and Dissemination Advisor, SUN LE Mr. Mathews Onyango, Chief of Party, SUN LE Ms. Patricia Sakala, Strategic Information Expert, SUN LE

Submitted by: Khulisa Management Services, Inc. 4550 Montgomery Avenue, Suite 220 Bethesda, MD 20814 USA Tel: +1 (301) 951-1835

Cover Photo: Group photo of meeting participants during the district data use meeting in Solwezi, ; Courtesy of SUN LE staff.

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Table of Contents

1 Background ...... 5

2 Purpose and Objectives of the 2019 Meetings ...... 6

3 Approaches ...... 6 3.1 Targeted Participants ...... 6 3.2 Scope and Organization ...... 7 3.2.1 Date and Location ...... 7 3.2.2 Topics and Agenda ...... 7 3.2.3 Facilitation ...... 7 3.2.4 Daily Assessments ...... 8 3.2.5 Learning Methods ...... 8 3.2.6 Materials ...... 9 3.2.7 Management of the Meetings ...... 10

4 Meeting Outputs ...... 10 4.1 Participation ...... 10 4.2 Outcomes / Results ...... 12 4.2.1 Immediate Outcomes ...... 12 4.2.2 Long-term Outcomes...... 14 4.3 Highlights from the Orientation Meetings ...... 14 4.3.1 Topic 3: Determinants of Data Use ...... 14 4.3.2 Topic 4: Data and Information Flow — Information Use Map ...... 15 4.3.3 Topic 5: Linking Data to Action ...... 16

5 Challenges ...... 17

6 Lessons Learnt and Recommendations ...... 18

7 Next Steps...... 19

Grouping of Districts for 2019 Dissemination and Data Use Meetings ...... 20

List of Topics Covered During the District Data Use Orientation Meetings...... 21

District Orientation Programme ...... 22

Pre- and Post-test Questionnaire ...... 25

Daily Workshop Evaluation ...... 28

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Participant List ...... 30

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Acronyms

DNCC District Nutrition Coordination Committee

FLDA Framework for Linking Data with Action

GIZ Deutsche Gesellschaft für Internationale Zusammenarbeit

GMP Growth Monitoring Programme

GRZ Government of the Republic of Zambia

HMIS Health Management Information System

MCDSS Ministry of Community Development and Social Services

MIBS Ministry of Information and Broadcasting Services

MOH Ministry of Heath

MWDSEP Ministry of Water Development, Sanitation, and Environmental Protection

NAIS National Agriculture Information Services

NFNC National Food and Nutrition Commission

SAG Sanitation Action Group

SUN Scaling Up Nutrition

SUN LE Scaling Up Nutrition Learning and Evaluation

SUN TA Scaling Up Nutrition Technical Assistance

USAID United States Agency for International Development

WASH Water, Sanitation, and Hygiene

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Acknowledgements

The district data use meetings were made possible with the generous support of the American people through the United States Agency for International Development (USAID).

The authors are grateful to the National Food and Nutrition Commission (NFNC) for its leadership in the planning and execution of the meetings. More specifically, we would like to thank Mr Mike Mwanza, Head of Research and Planning, for his leadership and guidance during the planning and implementation of the meetings, and his meticulous review of the final report. We also thank Mr Boniface Kanjere, NFNC Statistician, for coordinating the meetings in all the districts.

Furthermore, we acknowledge the dedication shown by Mr Sosten Banda of NFNC, Mr Paul Mboshya of the Ministry of Water Development, Sanitation, and Environmental Protection, and Mr Henry Mgomba of the Ministry of Agriculture, in facilitating the workshop sessions.

Special gratitude also goes to provincial government officers who participated in, and co-facilitated, sessions during the data use meetings. These included: Mr Fred Chalula, Mr Hobab Mumbi, and Mr James Telenkako Banda, all from ; Mr Gregory Lungu from Muchinga; Mrs Chipo Siafwa Sikazwe from Southern province, Mr Siatwinda Gary Matambo from Western Province, and Mr Xavier Tembo, formerly a government officer from Eastern Province and now working for GIZ.

We also thank Mr Casius Chuma, formerly with the USAID-funded Scaling Up Nutrition Technical Assistance (SUN TA) programme, for providing valuable feedback during the development of the orientation materials.

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1 BACKGROUND

In 2010, the Government of the Republic of Zambia (GRZ) was one of the first countries in the world to join the Scaling Up Nutrition (SUN) Movement – a global movement uniting governments, civil society, businesses, and citizens in a worldwide effort to end under-nutrition. SUN Zambia aims to improve child nutritional status by emphasizing a Box 1. Line Ministries under the SUN Programme decrease in Zambia’s critically high rate of 1. Ministry of Health under-five stunting (35%).1 2. Ministry of Community Development Zambia’s SUN programme is a multi-sectoral and Social Services effort that is technically and financially 3. Ministry of Agriculture supported by various partners and donors, 4. Ministry of General Education including the United States Agency for 5. Ministry of Fisheries and Livestock International Development (USAID), the United 6. Ministry of Local Government Nations Children’s Fund (UNICEF), Irish Aid, the 7. Ministry of Water Development, United Kingdom Department for International Sanitation and Environmental Development (DFID), and the German Protection development agency Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), among others. The National Food and Nutrition Commission (NFNC) coordinates the efforts of the seven GRZ line-ministries (Box 1) involved in implementing the programme.

The USAID/Zambia-funded Scaling Up Nutrition Learning and Evaluation (SUN LE) project provides survey, research, evaluation, and dissemination services to the GRZ’s SUN programme in 30 districts. Through these services, SUN LE aims to support the improvement of SUN 2.0 implementation processes, adaptive and participatory management, and knowledge systems.

SUN LE is implemented by Khulisa Management Box 2. SUN LE Objectives Services, Inc. (Khulisa), in collaboration with Build a SUN 2.0 evidence base for programme and policy decisions through three institutional partners – Indaba Agricultural conducting high-quality: Policy Research Institute, ICF, and the University 1. Baseline, midline, and endline of North Carolina at Chapel Hill. SUN LE’s main surveys objectives are presented in Box 2. 2. Focused studies Under Objective 4, SUN LE builds a culture of 3. Biennial SUN 2.0 performance audits learning and adaptive management to facilitate Facilitate individual and organisational the rapid achievement of SUN 2.0’s overarching capacity to use data through: goal of reducing childhood stunting in Zambia. 4. Creating a culture of learning and adaptive management Each year, SUN LE undertakes primary learning

1 CSO et al.: 2018 Zambia Demographic and Health Survey

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events, such as annual national dissemination and learning conferences and annual provincial / district dissemination and learning workshops.

At provincial / district levels, SUN LE with GRZ staff disseminate research and survey findings to the 30 priority SUN 2.0 districts so as to increase the capacity of nutrition programme managers in using data for decision making and nutrition programme planning. Moreover, SUN LE efforts to build a learning culture at district level is done in collaboration with the USAID-funded Scaling up Nutrition Technical Assistance (SUN TA) project which currently implements SUN 2.0 in 13 districts; UNICEF, which implements in 17 districts; and GIZ which implements in two districts.

This report details the 2019 district data-use orientation meetings conducted by SUN LE in collaboration with NFNC. The two-day orientation meetings were conducted between 11 November and 18 December 2019 in the country’s provincial centres (except for where the orientation had to be held in Mpika, another town in the province, as no suitable venue was available in Box 3. Broad Terms of Reference for the the provincial centre at the time) (Annex 1). DNCCs The orientation package was jointly designed  Undertake assessments/gap analyses by SUN LE and NFNC staff. to inform the district interventions and plans. 2 PURPOSE AND OBJECTIVES OF  Develop district multi-sectoral plans based on information from the gap THE 2019 MEETINGS analyses and other sources of information. The purpose of the SUN LE Year 1 (i.e. 2019)  Facilitate the implementation of the meetings was to orient district teams on the multi-sectoral plan at district, sub guiding principles and tools for using data in district, and community levels. planning and decision making.  Provide updates on progress to provincial and national levels. These meetings largely focused on laying the groundwork for future, more comprehensive data use meetings by introducing required tools and skills that district staff will use to plan, implement, monitor, and evaluate data use interventions. Ideally, the increased capacity of district staff to use data in planning will improve the quality of decision making and translate into a culture of data use and adaptive management, which in turn will lead to improved quality of nutrition programme management and implementation.

3 APPROACHES

3.1 TARGETED PARTICIPANTS

The two-day 2019 district data use orientation meetings targeted members of the District Nutrition Coordination Committees (DNCCs) in each of the 30 districts. DNCCs are comprised of district-level GRZ staff from the following ministries: Health; Water

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Development, Sanitation and Environmental Protection; Agriculture; Fisheries and Livestock; Community Development and Social Services; Chiefs and Traditional Affairs; Local Government; and General Education. They also include staff from non- governmental organizations that support the implementation of SUN 2.0 interventions in that district. The DNCCs were specially targeted because of their strategic responsibilities in coordinating the SUN 2.0 programme in their districts (Box 3).

District teams were grouped by province, so that districts from the same province were oriented as a group. This grouping was cost effective and designed to allow district teams to begin to work with their provincial leaders, who had previously been trained by SUN LE to mentor and coach them. A total of eight groups were formed (see Annex 1).

The provincial teams, together with district administration officers (who lead DNCCs), carried out the selection of district-level participants. Individuals were invited to participate in the meetings if they worked at the district level and met the following criteria:

 Member of the DNCC;

 Directly involved in leading, planning, and implementing SUN interventions; and

 Involved in overseeing the monitoring of nutrition interventions in their respective districts.

3.2 SCOPE AND ORGANIZATION

3.2.1 DATE AND LOCATION

The two-day 2019 district data use orientation meetings were conducted from 11 November through 18 December 2019 in provincial centres of Zambia. Each meeting included representatives from SUN 2.0 priority districts in the respective province (Annex 1).

3.2.2 TOPICS AND AGENDA

The orientation meetings covered seven major topics. These included: facilitation basics, using data to inform policies and progress, determinants of data use, data and information flow, linking data with action, coaching teams in data use, and facilitating data use meetings. Annex 2 provides more detail on the timing and duration of the various sessions.

3.2.3 FACILITATION

Staff from SUN LE, NFNC, and two line-ministries (Ministry of Water Development, Sanitation and Environmental Protection and Ministry of Agriculture) facilitated the meetings (Table 1). Other ministries were unavailable to participate due to competing

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demands.

Table 1. List of Facilitators

No. Name Institution 1. John Manda SUN LE 2. Patricia Sakala SUN LE 3. Sosten Banda NFNC 4. Henry Mgomba Ministry of Agriculture 5. Paul Mboshya Ministry of Water Development, Sanitation and Environmental Protection

3.2.4 DAILY ASSESSMENTS

At the end of each orientation day, participants were given a questionnaire to provide feedback on that day’s sessions (see Annex 4). The daily feedback helped identify some important areas that required further clarification and improvement during the course of the orientation meetings. Facilitators used the feedback to make changes to delivery approaches and to revisit some topics.

3.2.5 LEARNING METHODS

The orientation meetings employed a combination of learning approaches, including lectures and presentations, group work, role playing, and discussions.

LECTURES AND PRESENTATIONS

Lectures and presentations were used as the main mode of delivery for the orientation package and were designed to facilitate the acquisition of key concepts by participants. Training materials and methods were adapted from the MEASURE Evaluation Data Demand and Use Strategy2. The trainers used PowerPoint presentations, lecture notes, illustrations, and graphic presentations of learning materials. Participants were provided with printed copies of the materials for easy reference during and post- training.

2 Data Demand and Information Use in the Health Sector: Strategies and Tools. MEASURE Evaluation (2006). https://www.measureevaluation.org/resources/publications/ms-06-16b

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GROUP ACTIVITIES Figure 1. Participant Reporting Back Following The orientation meeting used small District Group Activity and large group activities and exercises to maximise participation, active learning, and practice in using data. Participants were given group exercises based on scenarios and situations and asked to engage in role plays, review key concepts, or create illustrations in terms of their work environments, and report back to plenary. This helped achieve learning through practice.

3.2.6 MATERIALS

An orientation package was prepared for participants for their reference in future data use activities. The package provided materials on facilitating data use meetings as well as procedures for improving and institutionalising data use in planning and decision making for SUN 2.0 implementation (see Annex 2 for the orientation programme). Key modules of the orientation package included the following:

 Facilitation basics: This session included discussions on how to plan for and facilitate data use meetings, including strategies for addressing difficult issues and managing group dynamics. Participants learned how to conduct participatory and effective data use meetings.  Using data to inform policies and programmes: This session focused on the importance and value of data in programme monitoring and improvement. Specifically, the session took participants through the decision-making process and demonstrated how data can be used to influence decision making at all levels.  Determinants of data use: The session focused on identifying barriers and constraints that inhibit effective practices in data use, including organisational constraints (where systematic processes are inadequate for sharing data in a way that promotes evidence-based decision making), technical constraints (in data collection and computer/technological shortages), and individual constraints.  Information Use Mapping: This session focused on identifying how information flows from the point of collection to the various points where it is used along the hierarchy. The major tool discussed was the Information Use Map, which helps assess the status and identify opportunities for improved data use and feedback mechanisms across different decision-making levels. It provides a visual context for gaps and weaknesses in data sharing, leading to course correction and improvements.

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 Linking data to action: This session exposed participants to the Framework for Linking Data with Action (FLDA)3, a tool that helps programme managers and policy makers systematically link data resources to the decisions they support. This makes it easy to demonstrate that decisions were based on evidence and show the sources of the evidence. It also helps managers identify information gaps and address those gaps by creating data resources where these do not exist.  Coaching teams in data use: Because district officers are very involved in coaching and mentoring sub-district offices, the workshops provided guidelines on coaching in data use. This session included strategies on how to incorporate coaching in a busy day and how to execute and follow through on plans that have been developed to facilitate data use.

3.2.7 MANAGEMENT OF THE MEETINGS

Administrative and logistical support for the orientation meetings was undertaken by the SUN LE project in collaboration with NFNC. NFNC led meeting preparations, including the selection of participants and issuing invitations. SUN LE provided logistics for the meetings, including provision of per diems, training materials, and transport refunds for participants.

4 MEETING OUTPUTS

The main outputs (i.e. deliverables) for the district data use orientation meetings were:

1. GRZ District SUN Officers oriented in data use tools. A total of 253 GRZ SUN officers were oriented to data use concepts and tools.

2. Draft district situation analyses and action plans. As part of the orientation, districts developed district-specific situation analyses and corresponding action plans for improving data quality and use around nutrition (see Section 4.3 for examples).

4.1 PARTICIPATION

The district orientation meetings were meant to target individuals located in all 30 SUN 2.0 districts. However, only 24 districts had established DNCCs by late 2019. Of these, one district (Chibombo in Central province) was unable to participate due to scheduling conflicts.

Across the 23 districts, a total of 255 GRZ district officers (an average of 11 per district) participated – representing 94.8% of all target participants (Table 2). Eight staff from SUN TA, three staff from GIZ, and two staff from Care International also participated in the meetings. Participants were predominantly male (76% of all participants). A

3 Framework for Linking Data with Action. Measure Evaluation (2011). https://www.measureevaluation.org/resources/publications/ms-11-46-b

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participant list is presented in Annex 6.

GRZ participants came from different ministries and departments, demonstrating the multi-sectoral nature of the SUN programme (Figure 2). The Ministry of Health had the largest representation, followed by the Ministry of Community Development and Social Services; the lowest representation was from the Ministry of Information and Broadcasting. Six (6) provincial officers also participated and co-facilitated the meetings: 3 from Luapula, 1 participant each from Southern, Western, and Muchinga province.

Table 2. Distribution of District-level Participants in the 2019 District Meetings* Number of Participants Organisation, Province, District Total Participants Female Male CARE 1 1 2 Muchinga 1 1 2 Mpika 1 1 2 CARITAS 1 1 Western 1 1 Mongu 1 1 GIZ 1 2 3 Eastern 1 2 3 Chipata 1 2 3 GRZ 67 188 255 (94.8%) Central 8 14 22 Kapiri Mposhi 4 8 12 Mumbwa 4 6 10 Eastern 12 36 48 Chipata 6 6 12 Katete 2 10 12 Lundazi 3 9 12 Petauke 1 11 12 Luapula 7 30 37 Mansa 3 10 13 Nchelenge 2 10 12 Samfya 2 10 12 Muchinga 13 22 35 Chinsali 4 9 13 Isoka 5 7 12 Mpika 4 6 10 Northern 5 28 33 Kaputa 2 10 12 Kasama 1 8 9 Mbala 2 10 12 North-Western 4 19 23 1 11 12 Zambezi 3 8 11 Southern 10 15 25 Choma 4 9 13

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Number of Participants Organisation, Province, District Total Participants Female Male Kalomo 6 6 12 Western 8 24 32 Kalabo 3 9 12 Mongu 3 6 9 Shangombo 2 9 11 USAID SUN TA 8 8 Luapula 2 2 Mansa 1 1 Samfya 1 1 Northern 6 6 Kaputa 2 2 Kasama 3 3 Mbala 1 1 Total 70 (26%) 199 (74%) 269 Note: This table does not include participants from the national or provincial levels.

Figure 2. Distribution of Participants by GRZ Ministry/Department

4.2 OUTCOMES / RESULTS

4.2.1 IMMEDIATE OUTCOMES

The meetings’ intended immediate outcomes were to build the skills of district participants in using specific tools for assessing data flow and data use:

 District teams use systematic tool to analyse sector information flow. The

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orientation introduced Figure 3. Example - Information Use Map district SUN managers to concepts and tools for systematically evaluating the information flow in their sectors and how that impacts data quality and use. The Information Use Map tool (Figure 3) lists the functional data flow processes (i.e. data collection, compilation, storage, analysis, reporting, and use) in columns, with the rows depicting the levels of operation (i.e. community, facility, district, province, and national levels). In using this tool, each sector was able to define their information flow from the lowest to the highest levels, systematically identify challenges and gaps in the data flow, and identify potential interventions for addressing the challenges and gaps.

By the end of the meeting, participants were able to identify barriers to information use and identify how elements along the information flow affect information use. The immediate results were that districts were able to use the tool to assess information flow in their various sectors and propose appropriate interventions to address issues.

 District teams use standard tool to link programme action and decisions to data resources. Participants were Figure 4. Frame for Linking Data with Action introduced to the FLDA data use tool3. This tool is used to systematically link programme actions to specific data resources and evidence, and to assist in prioritising programme questions, mapping them to evidence, and devising with programme decisions and actions based on that evidence (Figure 4). Participants were asked to complete the tool for their specific sector.

By increasing capacity to systematically use data in decision making, it is expected that district managers will design better interventions, choose appropriate programme activities, and better adapt programmes based on new evidence. SUN LE hopes that this tool will be used when districts engage in planning activities.

The long-term use of both tools will be measured during the course of the project.

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4.2.2 LONG-TERM OUTCOMES

Over the long-term, SUN LE intends that districts continuously use the tools to analyse their information flows and periodically make necessary adjustments, as well as link their actions to evidence for better programme management and ultimately achievement of SUN programme results (reduction in stunting among children under 2 years).

4.3 HIGHLIGHTS FROM THE ORIENTATION MEETINGS

The orientation meetings were conducted successfully in all the groups of districts. The meetings were conducted according to the topics listed in Annex 2 and the daily programme (Annex 3). Districts developed different outputs in group activities according to the topic.

The following provides examples of outputs for Topics 3, 4, and 5. Topics 1, 2, 6, and 7 were discussion based.

4.3.1 TOPIC 3: DETERMINANTS OF DATA USE

Under this topic, districts were taken through key factors that determine data use at different levels of implementation, after which teams were tasked with identifying barriers to data use and suggesting possible solutions. Across the orientation meetings, the major barrier that stood out was the absence of a systematic approach to data use. Table 3 summarises the highlighted barriers and corresponding interventions:

Table 3. Barriers to Data Use and Proposed Solutions for Improving Data Use

Barrier Proposed Solution

Omitting data use activities Include data use activities in district plans from district plans

Not budgeting for data use Integrate data use with other planned activities activities Include data use activities in district plans

Lack of skills in data use Build capacity in data use at all levels

Poor quality data (incomplete, Hold regular orientations and training of officers who collect data inaccurate, or late reporting) Conduct regular data review meetings with officers who collect data

High turnover of staff Conduct regular data use orientations of new staff as they come on board

Late submission of reports Address barriers leading to late submission of reports (e.g. lack of transport, internet issues)

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4.3.2 TOPIC 4: DATA AND INFORMATION FLOW — INFORMATION USE MAP

Participants were tasked with laying out the flow of nutrition information in their respective ministries, identifying challenges to improved data production and use, and proposing interventions. Table 4 shows an example of what was highlighted from the water, sanitation, and hygiene (WASH) group in .

Table 4. Highlights from the Information Use Map Group Activity from the WASH Group in Kalomo District

Community Level: Sanitation Action Groups District Level - WASH Functional (SAG) Area Proposed Proposed Challenges Challenges Interventions Interventions Data Inadequate - Provide transport collection transport to SAG Inconsistent supply Committees and of registers to CCs Sanitation Action - Supply registers Group (SAG) to SAG Committees and - Supply registers community to district for any champions (CCs) eventualities Compilation Inadequate Engage human human resources to enter resources to data compile the Create a deliberate data, policy to follow up resulting in on data data being available late Storage Limited Improve storage for storage in all reports terms of generated at stationery community level by providing stationery (box files per ward): Analysis No review meetings Schedule meetings No meetings Develop a calendar between the CCs with CCs and EHTs to to analyse of meetings for data and the review data analysis and environmental pre-programmed validation health technicians dashboards Provide analysis (EHTs) reports to the Provincial Nutrition Coordination Committee Reporting Poor internet Re-sensitize the CCs District not Enhance connectivity affects on phone usage reporting information flow to reporting adequately improve reporting

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Community Level: Sanitation Action Groups District Level - WASH Functional (SAG) Area Proposed Proposed Challenges Challenges Interventions Interventions Abuse of the because of rates mobile phone delayed data disturbs the District collection and Health Information submission System application, which affects reporting Use Data are not used Share data at Data not Plan for data use at community level community level adequately used to make decisions because data are unreliable

As shown in Table 4, teams were able to use the Information Use Map to identify challenges at different levels (community and district levels) and by functional areas (data collection, compilation, analysis, reporting, and use).

Some proposed solutions for improving data use include giving district officers access to pre-programmed dashboards and guidance on how to interpret them. In addition to district dashboards, major recommended actions included providing training in conducting additional analysis and scheduling district-wide data use meetings.

4.3.3 TOPIC 5: LINKING DATA TO ACTION

‘Linking data to action’ was a principal topic during the data use orientation meetings. The objectives under this topic were to: (1) identify and prioritise decisions and programme questions, (2) link decisions and questions with sources of data, and (3) create a time-bound plan for using data in decision making.

During this session, participants were introduced to the concepts of decisions, decision makers, and the FLDA. Participants were required to identify critical questions for which they require answers to develop high-impact interventions. Table 5 provides an example of outputs from a team in .

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Table 5. Output of the FLDA Group Activity in Mwinilunga

Procure Growth Identify food insecure Decision Monitoring households and conduct micro Community sensitisation / Action Programme (GMP) trainings in food production, equipment processing, and preservation Programme/ - Why do - Are there enough - Are the households that are Policy Question mothers/caregivers stop supplies of food insecure identified? taking children for growth under-five cards - How can we improve the food monitoring, especially and GMP basket at the household level? after one year? equipment? - Why are stunting levels high despite the district producing a variety of foodstuffs (crops and livestock)? Decision Maker District health director, line / Other ministries, SNV Netherlands Stakeholders Development Organization, World Vision Zambia Indicator / Data - Number of children - Number of - Number of households that weighed children are food insecure measured height - Number of households with for age income-generating activities - Number of under-five cards Data Source - Health management - HMIS / logistics - Periodic reports/ National information system (HMIS) management Agriculture Information system Services (NAIS) - Periodic reports/ NAIS Timeline Quarterly Quarterly Quarterly (Analysis) (Decision)

Communication Summary reports given to Summary reports Channel decision makers given to decision makers

5 CHALLENGES

The implementation of the district data use orientation meetings experienced a few challenges:

 Delays in completing group work. Group work took longer than planned and extended the duration of the meetings to late hours. In some cases, these delays affected the time spent on other topics. The meeting schedule and time allocated assumed that districts were already aware of the issues required to complete the

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group work (e.g. aware of challenges to data use, challenges and possible interventions to improve information flow), but that was not the case. To deal with this challenge, facilitators enhanced participation in group sessions, helping with assignment understanding and guiding discussion. This helped to reduce the time taken by the district teams to understand their assignments and also to get clarification when they were stuck.

 Poor participation from SUN LE-trained provincial officers to serve as mentors/coaches. The design of the district data use orientation meetings was premised on provincial officers providing ongoing mentorship and coaching of district teams in data use, including leading the district data use meetings. However, of the 26 provincial officers trained as coaches in June 2019, only 6 (23%) participated in the November-December district orientation meetings. Some who failed to participate cited competing priorities owing to the fact that the meetings were planned around the period when provinces were busy trying to conclude year- end activities.

6 LESSONS LEARNT AND RECOMMENDATIONS

For data use to be established and sustained at Box 4. Key Recommendations the district level, there is a need to include, as  The planning template should include a part of the district planning form/template, a field to show evidence that informed the field that requires districts to demonstrate what selection of programme activities. data or other evidence was considered or used  Interventions to improve the culture of data use should target all levels of during the planning process. decision-making - at community, facility, and district levels. The FLDA can be the primary tool to use to  Dissemination and data use meetings to gather data resources that can eventually be have more than one dedicated facilitator incorporated into the planning documentation. who should actively participate in giving As such, future SUN LE disseminations at the support to districts during group work. district level will work with district teams to link  Planning of all activities should involve provincial officers from the start and identified actions specified in the FLDA to the way in advance so they can schedule planning template. Interventions to improve their activities accordingly. the culture of data use in decision-making  Meetings should be scheduled during should target all levels where decisions are the first three quarters of the year when teams are less busy and not during the made - at community, facility, and district planning and year-end periods. levels. This is because each level has unique challenges that affect data use, and which in turn affect data use at the next higher level. Therefore, a multi-level and comprehensive approach to improving data use would have a higher potential for success. Strong collaboration among partners will also help achieve this goal.

To address delays in completing group work, SUN LE recommends at least two

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dedicated facilitators be assigned for each meeting. Two facilitators would be better able to provide the required support to the districts in their group assignments. It is too difficult for one facilitator to give the required attention to each district, if alone. SUN LE learnt that districts were able to complete their group work in a timely manner when they received adequate support and guidance from facilitators.

SUN LE further recommends that in order to have full participation from provincial GRZ officers, all planning for upcoming district meetings should involve provincial officers from the start. This would enable them to plan the district data use meetings around their other scheduled activities and thus avoid programme clashes. Further, SUN LE has learnt that the project activities should be scheduled before the GRZ planning meetings (early in the calendar year) and not in the last quarter of the year when officers are busy concluding their workplan activities.

7 NEXT STEPS

In early 2020, SUN LE will disseminate the MCDP II baseline survey findings to the same district teams so they can use the findings in their SUN 2.0 district planning exercises, using the tools introduced during the 2019 district data use orientation meetings.

In 2020, SUN LE will also conduct the orientation meetings for the seven districts (Lusaka, Chibombo, Kabwe, Ndola, Kitwe, Kaoma and Solwezi) that did not participate in the 2019 meetings.

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GROUPING OF DISTRICTS FOR 2019 DISSEMINATION AND DATA USE MEETINGS

Group Province Districts Group 1 Central  Chibombo  Kapiri-Mposhi  Mumbwa Group 2 Eastern  Chipata  Lundazi  Petauke  Katete Group 3 Luapula  Mansa  Samfya  Nchelenge Group 4 Northern  Kaputa  Kasama  Mbala Group 5 North-Western  Mwinilunga  Zambezi Group 6 Western  Kalabo  Mongu  Shang’ombo Group 7 Muchinga  Chinsali  Mpika  Isoka Group 8 Southern  Kalomo  Choma

Note: Lusaka, Ndola, Kitwe, Solwezi, Kabwe, Kaoma and Luwingu were not part of the 2019 orientation meetings because they had not yet formed District Nutrition Coordination Committees (DNCCs).

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LIST OF TOPICS COVERED DURING THE DISTRICT DATA USE ORIENTATION MEETINGS

1. Facilitation basics 5. Linking data with action  Planning and facilitating meetings and  Identifying priority decisions and discussions programmatic questions  Strategies for addressing difficult issues and  Linking decisions and questions managing group dynamics with potential data sources  Ensuring participation from all  Creating a time-bound plan for  Generating and using emerging ideas during using data in decision making small group work 6. Coaching teams in data use 2. Using data to inform policies and programmes  Principles of coaching  The value of data collection and use in  Setting objectives programme monitoring and improvement  Boosting morale and problem  Key concepts in data demand and use solving  The decision-making process and how data  Incorporating coaching in a busy can be used to influence decision making at day all levels 7. Facilitating data use meetings 3. Determinants of data use  Planning and facilitating meetings  Data quality and discussions  The data use conceptual framework  Strategies for addressing difficult  Determinants of data use issues and managing group dynamics  Potential barriers to data use  Ensuring participation from all  Assessment of data use constraints tool

4. Data and information flow  Identifying opportunities for improving data production and use—the Information Use Map  Identifying opportunities for feedback mechanisms  Identifying points at which data and information can support programmatic decision making

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DISTRICT ORIENTATION PROGRAMME

District Data Use Orientation Meetings 10 November–18 December 2019 (Location: Provincial Centres) Day 1

Time Topic Objectives Facilitator

08:00–08:30 Registration

08:30–08:40 GRZ welcome  Orient participants on the GRZ remarks objectives of the meeting

08:40–09:00 Introduction and  Get to know fellow participants GRZ/SUN LE icebreaker  Become comfortable working together

09:00–09:15 Training objectives  Provide overview of workshop GRZ/SUN LE and expectations objectives and expectations

09:15–09:35 Pre-test  Establish baseline of workshop GRZ/SUN LE participants

09:35–10:05 Background of the  Provide an overview of the SUN GRZ, SUN TA, and SUN programme (GRZ programme from the GRZ, SUN SUN LE SUN, SUN TA, SUN LE) TA and SUN LE perspectives

10:05–10:20 Health break

10:20–11:00 Facilitation basics  Discuss what “facilitation” means GRZ/SUN LE  Describe and demonstrate different facilitation techniques

11:00–11:30 Using data to inform  Understand what good quality GRZ/SUN LE policies and data looks like and how to programmes ensure data quality  Understand the value of data collection and use in programme monitoring and improvement  Understand the key concepts in data demand and use  Understand the decision-making process

11:30–12:00 Small group activity  Identify small group facilitators GRZ/SUN LE  Discuss examples of data- informed policies

12:00–12:20 Group work report back

12:20–13:00 Determinants of data  Explain the data use conceptual GRZ/SUN LE use framework  Highlight the determinants of data use  List potential barriers to data use

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Time Topic Objectives Facilitator

 Introduce the Assessment of Data Use Constraints tool

13:00–14:00 Lunch break

14:00–14:35 Small group activity  Discuss constraints to data use GRZ/SUN LE in provinces and districts  Identify potential solutions to overcome constraints to data use

14:35–15:10 Group work report back

15:10–15:55 Data and information  Identify opportunities for GRZ/SUN LE flow improving data production and use  Identify opportunities for feedback mechanisms  Identify points at which analysis and data could support programmatic decision making

15:55–16:25 Small group activity  Map data flow among GRZ/SUN LE communities, districts, provinces, and other levels

16:25–16:35 Group work report back

16:35–16:40 Daily summary  Provide key highlights from each Assigned presentation of the day rapporteurs

16:40 Tea break and day end

Day 2

Time Topic Objectives Facilitator

08:10 Recap of Day 1  Provide a summary of Day 1 Assigned rapporteurs

08:15–09:00 Linking data to  Identify priority decisions GRZ/SUN LE action and programmatic questions  Link decisions/questions with potential data sources  Create a time-bound plan for using data in decision making

09:00–10:00 Small group activity  Draft district plans for data GRZ/SUN LE use

09:30–10:10 Group work report back

10:10–10:25 Health break

10:25–11:15 Coaching teams in  Describe and discuss GRZ/SUN LE data use coaching

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Time Topic Objectives Facilitator

11:15–12:15 Small group activity  Coach teams in data use— GRZ/SUN LE role play

12:15–13:15 Facilitating data use  Discuss how to plan for and GRZ/SUN LE meetings facilitate a data use meeting in districts

13:15–14:15 Lunch break

14:15–14:35 Small group work  Identify meetings/platforms GRZ/SUN LE for implementing data use activities

14:35–15:15 Small group work/  Share outputs from the GRZ/SUN LE working tea group discussions

15:15–15:25 Daily summary  Provide key highlights from Assigned rapporteurs each presentation of the day

15:25–16:40 Post-test and review

16:40–16:50 Review of pre- and  Review performance on the GRZ/SUN LE post-test pre-and post-test  Clarify on grey areas

16:50 GRZ closing remarks and tea break

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PRE- AND POST-TEST QUESTIONNAIRE

Coaching and Facilitation Training in Data Use “Test”

1. Facilitation

1. From 1 to 10, 1 being the lowest and 10 being the highest, how would you rate your skills in coaching and facilitating workshops in data use and adaptive management? a. [ ] 2. Facilitation and teaching are the same thing: a. True b. False 3. Circle all relevant characteristics of good facilitation, below: a. Allow an expert to speak more than anyone else b. Call on participants who repeatedly raise their hands c. Lecture throughout the entire workshop d. Mix small group activities with lecture and discussion e. Avoid small group activities—they get out of control f. One way to encourage participation is to ask for guest facilitators from among the participants

2. Data and information flow

4. What does it mean to assess data within a broad context? a. Comparing local data with locations in the same region b. Giving feedback to originators of the data c. Assessing data within a policy framework d. None of the above e. Don’t know 5. Which of the following is the most prominent weakness in the data flow of most institutions? a. Data not being collected b. Feedback not provided from higher levels c. Data not used at the same level d. Reports not developed e. All of the above f. Don’t know 6. Which of the following is the most important point at which data are supposed to be used to inform decisions? a. Facility level b. District level c. National level d. Don’t know

3. Linking data to action

7. Which one of the following is not one of the reasons for using the framework for linking data with action?

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a. Identify the basis for making decisions b. Identify need for quality data c. Helps stakeholders prioritize data collection activities d. Helps stakeholder prioritize decisions e. None of the above f. Don’t know 8. Which of the following option(s) are the critical elements required to ensure that data and information are used to inform decisions? a. Has to be planned for b. Use systematic tools c. Understand information needs d. Budget for data use e. Buy computers for all users f. All of the above g. Don’t know 9. Which of the following do not qualify as primary uses of the framework for linking data to action? a. To expose incompetent staff b. To expose data gaps c. Show timeline for data collection d. Identify decision makers e. To identify programme questions f. All of the above g. Don’t know

4. Coaching

10. Coaching is about helping people through solving problems: a. True b. False 11. An important part of coaching is asking questions: a. True b. False 12. Only trained, professional coaches should coach: a. True b. False

5. Data use and quality

13. Which of the following can affect data use? a. Motivation of staff b. Technical skill or capacity c. Political interference d. Unclear roles and responsibilities e. All of the above f. Don’t know 14. Which of the follow is not a determinant of data quality?

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a. Integrity b. Validity c. Timeliness d. Rigor e. Reliability f. Precision 15. What are some of the reasons it is important to improve data quality? a. It can increase financial investment b. It increases accountability c. It improves the national health information system d. It increases the demand for evaluations and research e. All of the above f. Don’t know 16. Who of the following can be decision makers (circle all that apply): a. Caregivers b. Community health workers c. Facility staff d. M&E officers e. Donors f. Community leaders g. None of the above h. All of the above i. Don’t know

Good Luck

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DAILY WORKSHOP EVALUATION District Data Use Orientation Meetings 11 November to 18 December 2019 Day 1 Daily Workshop Evaluation

1. What did you like best about the workshop today?

2. What did you learn that was new today? Topic 1: Facilitation basics

Topic 2: Using data to inform policies and programmes

Topic 3: Determinants of data use

3. What did you learn today that needs further clarification?

4. How would you rate the facilitators today on a scale of 1 (needs improvement) to 5 (great!) Topic 1 rating [ ] Explain

Topic 2 rating [ ] Explain

Topic 3 rating [ ] Explain

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District Data Use Orientation Meetings 11 November to 18 December 2019 Day 2 Daily Workshop Evaluation

1. What did you like best about the workshop today?

2. What did you learn that was new today? Topic 1: Data and information flow

Topic 2: Linking data to action

Topic 3: Coaching teams in data utilization

3. What did you learn today that needs further clarification?

4. How would you rate the facilitators today on a scale of 1 (needs improvement) to 5 (great!) Topic 1 rating [ ] Explain

Topic 2 rating [ ] Explain

Topic 3 rating [ ] Explain

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PARTICIPANT LIST

No Name Sex Province District Organisation

Central Province 1 Kunda Mulenga M Central Administration

2 Kelvin Munyama M Central Kapiri Mposhi Ministry of Community Development and Social Services (MCDSS)

3 Mable Zulu F Central Kapiri Mposhi MCDSS

4 Kanyanta Muchula M Central Kapiri Mposhi Ministry of Agriculture

5 Breasty Himwaaba F Central Kapiri Mposhi Ministry of Education

6 Cheelo Mwaamba F Central Kapiri Mposhi Ministry of Education

7 Ngosa Chipinda F Central Kapiri Mposhi Ministry of Fisheries and Livestock

8 Ronald Ngoma M Central Kapiri Mposhi Ministry of Health

9 Chanda Malama M Central Kapiri Mposhi Ministry of Health

10 Edgar Yambayamba M Central Kapiri Mposhi Ministry of Health

11 Luckson Mbao M Central Kapiri Mposhi Ministry of Local Government

12 Nankamba Krysterbel M Central Kapiri Mposhi NFNC

13 Musonda Truddy Mukosha F Central Mumbwa MCDSS

14 Mutalika Sutcliffe M Central Mumbwa Ministry of Agriculture

15 Dyson Mwape M Central Mumbwa Ministry of Education

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No Name Sex Province District Organisation

16 Solomon Fwaba M Central Mumbwa Ministry of Fisheries and Livestock

17 Joyce Kunda F Central Mumbwa Ministry of Health

18 Douglas Mushinge M Central Mumbwa Ministry of Health

19 Likuwa Lameck M Central Mumbwa Ministry of Local Government

20 Chipo Mbewe F Central Mumbwa Ministry of Water Development, Sanitation and Environmental Protection (MWDSEP)

21 Hope Kavuka F Central Mumbwa NFNC

22 Charles Hampende M Central Mumbwa Office of the President

Eastern Province

23 Kapembwa Sikazwe M Eastern Administration

24 Xavier Tembo* M Eastern Chipata GIZ

25 Rike Drueger F Eastern Chipata GIZ

26 Doughente Wegenmen M Eastern Chipata GIZ

27 Chama Mulenga M Eastern Chipata Government of Zambia

28 Beatrice Lupupa F Eastern Chipata MCDSS

29 Christabel Sampa F Eastern Chipata MCDSS

30 Getrude Mbewe F Eastern Chipata MCDSS

31 Maybin Banda M Eastern Chipata Ministry of Agriculture

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No Name Sex Province District Organisation

32 Grannes Kabondo M Eastern Chipata Ministry of Education

33 Emmanuel Mwango M Eastern Chipata Ministry of Fisheries and Livestock

34 Jonathan Khonje M Eastern Chipata Ministry of Health

35 Astrida Chimbwe F Eastern Chipata Ministry of Health

36 Christabel Chilambwe F Eastern Chipata Ministry of Local Government

37 Nancy Lusambo F Eastern Chipata NFNC

38 Anslow Muchelemba Musoka M Eastern Administration

39 Kapela Mwango M Eastern Katete MCDSS

40 Michelo Bannister Namilonga M Eastern Katete MCDSS

41 Chrispine Chipika M Eastern Katete Ministry of Agriculture

42 Ziko Kahenge M Eastern Katete Ministry of Agriculture

43 Humphrey Makunka M Eastern Katete Ministry of Chiefs and Traditional Affairs

44 Innocent Tembo M Eastern Katete Ministry of Education

45 Penias Phiri M Eastern Katete Ministry of Fisheries and Livestock

46 Jordan Samuwika M Eastern Katete Ministry of Fisheries and Livestock

47 Nshimba Mwansa M Eastern Katete Ministry of Health

48 Christine Chaka F Eastern Katete Ministry of Health

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No Name Sex Province District Organisation

49 Doreen Malama F Eastern Katete Ministry of Local Government

50 Mukule Banda M Eastern Administration

51 Brenda Y Nachalwe F Eastern Lundazi MCDSS

52 Lackson Manda M Eastern Lundazi MCDSS

53 Betty Mvula F Eastern Lundazi Ministry of Agriculture

54 Sunga Mungambata M Eastern Lundazi Ministry of Agriculture

55 Joseph Ngwenyufu M Eastern Lundazi Ministry of Education

56 Noble Mukonde M Eastern Lundazi Ministry of Fisheries and Livestock

57 Chilufya Chitambala M Eastern Lundazi Ministry of Fisheries and Livestock

58 Bathsheba Banda F Eastern Lundazi Ministry of Health

59 Victoria Nguni M Eastern Lundazi Ministry of Health

60 Caster Tembo M Eastern Lundazi Ministry of Local Government

61 Bbunda Kaluwa M Eastern Lundazi Ministry of Local Government

62 Gift H. Mudenda M Eastern Administration

63 Ozias Msoni M Eastern Petauke MCDSS

64 George Zulu M Eastern Petauke Ministry of Agriculture

65 Moffat Tonga M Eastern Petauke Ministry of Agriculture

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No Name Sex Province District Organisation

66 Fred Mandumbwa M Eastern Petauke Ministry of Chiefs and Traditional Affairs

67 Lydia Chileshe Mwaba M Eastern Petauke Ministry of Education

68 Michael Mwansa M Eastern Petauke Ministry of Fisheries and Livestock

69 Glory Nyirenda F Eastern Petauke Ministry of Fisheries and Livestock

70 Wilfred Banda M Eastern Petauke Ministry of Fisheries and Livestock

71 Duncan Kaseba M Eastern Petauke Ministry of Health

72 Emmanuel Ngulube M Eastern Petauke Ministry of Local Government

73 William Phiri M Eastern Petauke MWDSEP

Luapula Province

74 Tikambenji Kasankha M Luapula Mansa MCDSS

75 Grace Ngalande F Luapula Mansa MCDSS

76 Hobab Mumbi* M Luapula Mansa Ministry of Agriculture

77 James Telenkako Banda* M Luapula Mansa Ministry of Agriculture

78 Donald Sikazwe M Luapula Mansa Ministry of Agriculture

79 Mazuba Muzyamba M Luapula Mansa Ministry of Fisheries and Livestock

80 Fred Chalula* M Luapula Mansa Ministry of Health

81 Banda Ngulube M Luapula Mansa Ministry of Health

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No Name Sex Province District Organisation

82 Rommie Mwila M Luapula Mansa Ministry of Health

83 Allan Muleya M Luapula Mansa Ministry of Health

84 Kanyembo K. Tuba M Luapula Mansa Ministry of Health

85 Lawrence Chandwa M Luapula Mansa Ministry of Local Government

86 Mutale Mwila M Luapula Mansa MWDSEP

87 Alice Namukonda F Luapula Mansa MWDSEP

88 Alexander Mwape M Luapula Mansa NFNC

89 Judith Colby Nyirenda F Luapula Mansa Office of the President

90 David Lungowe M Luapula Mansa SUN TA

91 Lawrence Nkolonga M Luapula Administration

92 George Chenda Zulu M Luapula Nchelenge MCDSS

93 Ruth Kamanga F Luapula Nchelenge MCDSS

94 Bertha Kaumba F Luapula Nchelenge Ministry of Agriculture

95 Kelvin Chishimba M Luapula Nchelenge Ministry of Education

96 Musonda Russel Sikazwe M Luapula Nchelenge Ministry of Education

97 Dennis Kapumba M Luapula Nchelenge Ministry of Fisheries and Livestock

98 Ephraim Hamupi M Luapula Nchelenge Ministry of Fisheries and Livestock

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No Name Sex Province District Organisation

99 Jackson Chileshe M Luapula Nchelenge Ministry of Health

100 Edward Mutale M Luapula Nchelenge Ministry of Local Government

101 Richard Katasha M Luapula Nchelenge MWDSEP

102 Chiseba Emmanuel Mulenga M Luapula Nchelenge NFNC

103 Evans M Sikabbubba M Luapula Administration

104 Mercy Langiwe Lungu F Luapula Samfya MCDSS

105 John Mwenya M Luapula Samfya MCDSS

106 Newton Chinyanta M Luapula Samfya MCDSS

107 Beatrice N Kalengo F Luapula Samfya Ministry of Agriculture

108 Kaputo Chishimba Ackim M Luapula Samfya Ministry of Education

109 Albert Chipasha Chikwale M Luapula Samfya Ministry of Fisheries and Livestock

110 Amon Foloweza M Luapula Samfya Ministry of Fisheries and Livestock

111 James Malama M Luapula Samfya Ministry of Health

112 Nyamazai Tembo M Luapula Samfya Ministry of Local Government

113 Silwamba Jacob M Luapula Samfya MWDSEP

114 Robert Mwale M Luapula Samfya NFNC

115 Felix Chibesa M Luapula Samfya SUN TA

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No Name Sex Province District Organisation

Muchinga Province

116 Davie A. Mulambia M Muchinga Administration

117 Peggy Mwando F Muchinga Chinsali MCDSS

118 Christabel Bwalya Lombe F Muchinga Chinsali Ministry of Agriculture

119 Wilfred Kamima M Muchinga Chinsali Ministry of Agriculture

120 Noel Phiri M Muchinga Chinsali MCDSS

121 Chaongopa Kalyalumo M Muchinga Chinsali Ministry of Education

122 Mwami Malambo M Muchinga Chinsali Ministry of Fisheries and Livestock

123 Jane Phiri F Muchinga Chinsali Ministry of Health

124 Namoonda Mbumwae F Muchinga Chinsali Ministry of Health

125 Kapinga Mpenga M Muchinga Chinsali Ministry of Health

126 Gregory Lungu* M Muchinga Chinsali Ministry of Health

127 Dominic Mushashu M Muchinga Chinsali Ministry of Local Government

128 Andrew Banda M Muchinga Chinsali NFNC

129 Mufishi Lunyambo M Muchinga Isoka MCDSS

130 Francisca Kasonde F Muchinga Isoka Ministry of Agriculture

131 Mabvuto Mhone M Muchinga Isoka Ministry of Agriculture

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No Name Sex Province District Organisation

132 Bridget Musukwa F Muchinga Isoka Ministry of Agriculture

133 Simwawa Lukundo M Muchinga Isoka Ministry of Chiefs and Traditional Affairs

134 Joackim Kaweme F Muchinga Isoka Ministry of Education

135 John Lengwe M Muchinga Isoka Ministry of Fisheries and Livestock

136 Leah Kandinda F Muchinga Isoka Ministry of Health

137 James Kabwe M Muchinga Isoka Ministry of Health

138 Alice Kabunda F Muchinga Isoka Ministry of Local Government

139 Angel Mulenga M Muchinga Isoka Ministry of Local Government

140 Yamishi Mulenga M Muchinga Isoka Provincial Administration

141 Philimon Cheeba M Muchinga Mpika CARE

142 Catherine Pongolani F Muchinga Mpika CARE

143 Tobias Mwale M Muchinga Administration

144 Amideus Mwango M Muchinga Mpika MCDSS

145 Sarah Chivunga F Muchinga Mpika MCDSS

146 Chewe Mutale M Muchinga Mpika Ministry of Agriculture

147 Namukolo Mate M Muchinga Mpika Ministry of Agriculture

148 Justine Chanda Katembula F Muchinga Mpika Ministry of Education

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No Name Sex Province District Organisation

149 John Mingochi M Muchinga Mpika Ministry of Fisheries and Livestock

150 Marvin Mwaba M Muchinga Mpika Ministry of Health

151 Clementina Mwanza F Muchinga Mpika Ministry of Health

152 Margret Manzi F Muchinga Mpika Ministry of Local Government

National Level

153 Paul Mboshya M National Lusaka MWDSEP

154 Sosten Banda M National Lusaka NFNC

Northern Province

155 Deodatus Munsungwe M Northern Kaputa District Administration

156 Mwale Wiza F Northern Kaputa MCDSS

157 Emma Nyoni F Northern Kaputa MCDSS

158 Chembo Nelson M Northern Kaputa Ministry of Agriculture

159 Sayama Ephraim M Northern Kaputa Ministry of Education

160 Robson Mwaala M Northern Kaputa Ministry of Education

161 Barclay Lumamba M Northern Kaputa Ministry of Fisheries and Livestock

162 Winfridah Mulenga M Northern Kaputa Ministry of Health

163 Gerald Munthali M Northern Kaputa Ministry of Health

164 Chitwa Peter M Northern Kaputa Ministry of Local Government

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No Name Sex Province District Organisation

165 Victor M Tembo M Northern Kaputa Ministry of Local Government

166 Daniel Sikazwe M Northern Kaputa NFNC

167 David Banda M Northern Kaputa SUN TA

168 Emmanuel Mwenda M Northern Kaputa SUN TA

169 Chinda Mwila M Northern Kasama MCDSS

170 Francis K. Bwalya M Northern Kasama Ministry of Agriculture

171 Vivian Mwansa F Northern Kasama Ministry of Agriculture

172 Monica Phiri M Northern Kasama Ministry of Education

173 Chilando Makumba M Northern Kasama Ministry of Fisheries and Livestock

174 Saviour Simashela M Northern Kasama Ministry of Fisheries and Livestock

175 Stephen Zulu M Northern Kasama Ministry of Health

176 Augustine Siame M Northern Kasama Ministry of Health

177 Kabbila Fanwell M Northern Kasama NFNC

178 Chileya Chiwenda M Northern Kasama SUN TA

179 Kelvin Kasongo M Northern Kasama SUN TA

180 Patrict Chibanda M Northern Kasama SUN TA

181 Evans Mambwe M Northern Administration

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No Name Sex Province District Organisation

182 Thomas Kaunda M Northern Mbala MCDSS

183 Chilambwe Fredrick M Northern Mbala MCDSS

184 Annie Nyirongo F Northern Mbala Ministry of Agriculture

185 Boyd Sakala M Northern Mbala Ministry of Agriculture

186 Milton Njamba M Northern Mbala Ministry of Chiefs and Traditional Affairs

187 Simwanza Wesley M Northern Mbala Ministry of Education

188 Mary Nyirenda F Northern Mbala Ministry of Fisheries and Livestock

189 Edwin Mumba M Northern Mbala Ministry of Health

190 Mwengwe Mwape M Northern Mbala Ministry of Health

191 Kampinda Kangwa M Northern Mbala Ministry of Local Government

192 Daniel Ziba M Northern Mbala NFNC

193 Joseph Siame M Northern Mbala SUN TA

North-Western Province

194 Kalumba Chishipula M North-Western Mwinilunga NFNC

195 Mwiya Thulani Ryan M North-Western Mwinilunga District Administration

196 Nyendwa Yoram M North-Western Mwinilunga MCDSS

197 Chishimba Francis Kapya M North-Western Mwinilunga MCDSS

198 Luvuwa Anos M North-Western Mwinilunga Ministry of Agriculture

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No Name Sex Province District Organisation

199 Barry Chimimba M North-Western Mwinilunga Ministry of Agriculture

200 Misitala Patrick M North-Western Mwinilunga Ministry of Education

201 Covenant Ngoma M North-Western Mwinilunga Ministry of Fisheries and Livestock

202 Mubita Coillard M North-Western Mwinilunga Ministry of Health

203 Akabana Yamboto M North-Western Mwinilunga Ministry of Health

204 Kaweme Musonda F North-Western Mwinilunga Ministry of Health

205 Namukolo Lishomwa M North-Western Mwinilunga Ministry of Local Government

206 Suzyo Mtonga M North-Western Zambezi MCDSS

207 Sombo Mazeze F North-Western Administration

208 Isabel Kangwa Banda F North-Western Zambezi Ministry of Local Government

209 Moses Chama M North-Western Zambezi Ministry of Fisheries and Livestock

210 Boston Mbilikita M North-Western Zambezi Ministry of Health

211 Blessing Ngandwe F North-Western Zambezi Ministry of Health

212 Peter Chipili M North-Western Zambezi Ministry of Ministry of Agriculture

213 Kennedy Mwamba M North-Western Zambezi Ministry of Ministry of Agriculture

214 Mulenga Michelo M North-Western Zambezi Ministry of Ministry of Education

215 Frank Luya M North-Western Zambezi NFNC

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No Name Sex Province District Organisation

216 Mwanja Mwale M North-Western Zambezi Social welfare

Southern Province

217 Hope Chiposo F Southern Administration

218 Kalonga Esther Siyumbwa F Southern Choma MCDSS

219 Elizabeth Mutale Nshimbi F Southern Choma MCDSS

220 Mabvuto Phiri M Southern Choma Ministry of Agriculture

221 Tembo Robert M Southern Choma Ministry of Agriculture

222 Vainess Phiri Nsofwa M Southern Choma Ministry of Education

223 John Kaira M Southern Choma Ministry of Fisheries and Livestock

224 Limose Shamvu M Southern Choma Ministry of Fisheries and Livestock

225 Mastern Miyoba M Southern Choma Ministry of Fisheries and Livestock

226 Nkandu Chibwe M Southern Choma Ministry of Health

227 Chipo Siafwa Sikazwe* F Southern Choma Ministry of Health

228 Nchimunya Hafwiti Nalumpa M Southern Choma Ministry of Information and Broadcasting Services (MIBS)

229 Nchimunya Sarah Muleya F Southern Choma Ministry of Local Government

230 Willie Dada Kanyinji M Southern Choma Ministry of Local Government

231 Doreen Chiboola Mweenda F Southern Kalomo District Administration

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No Name Sex Province District Organisation

232 Mercy Munjeri F Southern Kalomo MCDSS

233 Mweemba Mudaala M Southern Kalomo Ministry of Agriculture

234 Jockie Kanyamina F Southern Kalomo Ministry of Chiefs and Traditional Affairs

235 Benjamin Mungaila M Southern Kalomo Ministry of Education

236 Dr. Chapabuku Wilfred M Southern Kalomo Ministry of Fisheries and Livestock

237 Theresa Matakala F Southern Kalomo Ministry of Fisheries and Livestock

238 Pamela Liswaniso F Southern Kalomo Ministry of Fisheries and Livestock

239 Anastazia Khondowe F Southern Kalomo Ministry of Health

240 Kelvin Mupemo M Southern Kalomo Ministry of Health

241 Alphonso Kaunda M Southern Kalomo MIBS

242 Prosper Mulenga M Southern Kalomo Ministry of Local Government

Western Province

243 Siyupwa Kabisa M Western Administration

244 Simasiku Simasiku M Western Kalabo MCDSS

245 Gladys Hasalama F Western Kalabo MCDSS

246 Ushiti Munchini M Western Kalabo Ministry of Agriculture

247 Sinyama Kayongo M Western Kalabo Ministry of Education

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No Name Sex Province District Organisation

248 Chuma Sililo M Western Kalabo Ministry of Education

249 Muchese Paul M Western Kalabo Ministry of Fisheries and Livestock

250 Jimmy Chilyata M Western Kalabo Ministry of Health

251 Julia Banda F Western Kalabo Ministry of Health

252 Charles.M. Mwansa M Western Kalabo Ministry of Local Government

253 John Sichinga M Western Kalabo Ministry of Local Government

254 Inonge Nosiku F Western Kalabo NFNC

255 Lillian Mhango F Western Mongu Caritas Czech

256 Charity Banda F Western Mongu MCDSS

257 Litula Imasiku M Western Mongu MCDSS

258 Casten Nseluka M Western Mongu Ministry of Education

259 Sambiana Samwaka M Western Mongu Ministry of Fisheries and Livestock

260 Kaluwe Mwaka F Western Mongu Ministry of Fisheries and Livestock

261 Siatwinda Gary Matambo* M Western Mongu Ministry of Fisheries and Livestock

262 Keith Simbotwe M Western Mongu Ministry of Health

263 Mukololo Mubita M Western Mongu Ministry of Health

264 Kanyamba Kahilu Derrick M Western Mongu Ministry of Local Government

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No Name Sex Province District Organisation

265 Oster Namuya Musanje M Western Shangombo MCDSS

266 Joseph Chipoya Likumbi M Western Shangombo Ministry of Agriculture

267 Emmanuel Mwatende M Western Shangombo Ministry of Education

268 Morris Chibbandula Mudenda M Western Shangombo Ministry of Fisheries and Livestock

269 Obrian Simankwala M Western Shangombo Ministry of Fisheries and Livestock

270 Stephen Mutanuka Madyabi M Western Shangombo Ministry of Health

271 William Tuzao M Western Shangombo Ministry of Health

272 Elizabeth Chembe Mabenga F Western Shangombo Ministry of Local Government

273 Mweetwa Patrick M Western Shangombo Ministry of Local Government

274 Chilala Bbalo M Western Shangombo Ministry of Local Government

275 Collety Choonga F Western Shangombo NFNC

*Provincial Coach and/or Facilitator