2024-05-19-世界卫生组织-Analyzing_a_Second_Round_of_Data_Collected_from_National_Governments_and_Relevant_Authorities_37页_796kb

Summary of the SDG3 GAP Second Round Data Analysis

Core Content

This document presents the analysis of the second round of data collected from national governments and relevant authorities regarding their health coordination environment, as part of the Global Action Plan for Healthy Lives and Well-being for All (SDG3 GAP). The data is compared with the first round of reporting (2021-22) to identify trends, challenges, and improvements in the coordination of health-related development assistance.

Main Points

Response Rates and Participation

• First Round: 75 focal points were nominated, with 52 (69%) responding.
• Second Round: 62 focal points were nominated, with 37 (60%) responding.
• Response Trends:
  • Response rates were highest in low-income and lower-middle-income countries.
  • 22 countries submitted responses in both rounds.
  • AFR and EMR had the highest response rates in the second round (78% and 69%, respectively).
  • AMR and EUR had lower response rates (46% and 33%, respectively).

Average Scores and Trends

• Overall Average Score: Slightly decreased from 64% in the first round to 58% in the second round.
• Countries Responding in Both Rounds: The average score fell from 61% to 58%, a smaller decline.
• Regional Variations:
  • In the first round, EUR and WPR had the highest scores (71% and 71%, respectively).
  • In the second round, AFR had the highest score (64%), while AMR had the lowest (45%).

Key Statements and Responses

Focal points were asked to rate their agreement with several statements related to health coordination:

• Changes in Scores:
  • For most countries, there was a slight improvement in scores between rounds.
  • The average number of category changes across six statements was -2, indicating a small overall decline.

Qualitative Insights

• Positive Changes:

  • Mozambique: Signed the Kaya Kwanga code of conduct, improving coordination with development partners.
  • Sierra Leone: Improved partner alignment through coordination meetings and technical working groups.
  • Ethiopia: Revising the HHM guide to strengthen coordination.
  • Rwanda: Strengthening technical working groups for strategy discussions.
  • Senegal: Improved alignment with country priorities.
  • Syrian Arab Republic: Joint planning with UN partners and endorsement of the UNSF.

• Challenges:

  • Overlapping funding mechanisms.
  • Inadequate identification of relevant stakeholders.
  • Limited external funding and lack of continuity.
  • Weak partner accountability in some cases.

• Good Practices:

  • Formal agreements (e.g., compacts, memorandums of understanding) between government and development partners.
  • Operating frameworks for development assistance.
  • Health sector strategic plans as a basis for alignment.
  • Joint programming and monitoring mechanisms.

Corrective Measures

• Focal points identified several corrective measures, including:
  • Strengthening coordination mechanisms.
  • Improving planning and budget alignment.
  • Enhancing financing and monitoring systems.
  • Increasing accountability and reducing duplication.

Limitations of the Data

• Response Rates: Not all countries and authorities responded in both rounds.
• Self-Reporting: Responses are based on a single representative, which may not reflect the views of all stakeholders.
• Social Desirability Bias: May influence agree/disagree responses, especially for quantitative data.
• Interpretation Caution: Due to the small number of countries responding in both rounds, comparisons should be made carefully.

Key Takeaways

• The SDG3 GAP survey helps identify cross-country issues in health coordination and their impact on health outcomes.
• While the quantitative analysis shows only minor changes, qualitative responses highlight meaningful improvements and challenges.
• Good practices such as formal agreements and strategic frameworks were reported in both rounds.
• Coordination mechanisms, planning, financing, and monitoring/evaluation/reporting are key areas needing improvement.
• The survey provides unique insights as it allows national governments to rate and comment on the coordination of development partners, which is less common in standard assessments.

Conclusion

The data collected in the second round of the SDG3 GAP survey offers a nuanced understanding of the health coordination environment. Although the quantitative data shows only marginal changes, the qualitative insights reveal important progress and ongoing challenges. These findings are valuable for improving the coordination of health-related development assistance globally.