Figure 1
Program development timeline.
Table 1
Participant demographics.
| CHARACTERISTICS | YEAR 1 2023/2024 | YEAR 2 2024/2025 |
|---|---|---|
| Gender Women | 12 (100%) | 16 (100%) |
| Country of residence Kenya South Africa | 6 (50%) 6 (50%) | 8 (50%) 8 (50%) |
| Career stage 5–10 years 10–15 years Over 15 years | 4 (33%) 5 (42%) 3 (25%) | 4 (25%) 11 (69%) 1 (6%) |
| Level of education Bachelors Masters Post graduate diploma PhD | 5 (42%) 4 (33%) 1 (8%) 2 (27%) | 1 (6%) 12 (75%) 0 3 (19%) |
| Employment setting Academia Government health care Government admin./policy Private health care Nongovernmental org. Research center | 3 (25%) 4 (33%) 4 (33%) 0 0 1 (8%) | 5 (31%) 6 (38%) 1 (6%) 1 (6%) 2 (13%) 1 (6%) |
Table 2
Evaluation methods.
| PHASE | EVALUATION METHOD | WHEN |
|---|---|---|
| Pre‑start | Pre‑assessment survey | Early September |
| Phase 1 | Verbal group check‑in during an online session Satisfaction survey Focus group | Mid November December |
| Phase 2 | Notes from group observations and from conversations with individual learners during in person training Satisfaction survey | March April |
| Phase 3 | Mid‑phase survey and check‑in phone calls ‑> (Completed by mentors) Group check in ‑> (completed by mentors) End‑of‑program satisfaction survey ‑> (completed by mentors) End‑of‑program focus group | Early June Early August |
| End | Post‑assessment survey | End of August |
Table 3
Response rates.
| PARTICIPANT RESPONSE RATES | ||
|---|---|---|
| Evaluation methods | Year 1 (12 participants) | Year 2 (16 participants) |
| Pre‑assessment | 12 (100%) | 16 (100%) |
| Post‑assessment | 11 (92%) | 12 (75%) |
| End‑of‑program survey | 12 (100%) | 16 (100%) |
| End‑of‑program focus group | 7 (58%) | 12 (75%) |
| MENTOR RESPONSE RATES | ||
| Evaluation methods | Year 1 (12 mentors) | Year 2 (152 mentors) |
| Mid‑point mentor survey | N/A | 10 (67%) |
| End‑of‑mentorship survey | 8 (67%) | 9 (60%) |
Table 4
Participant‑reported changes in knowledge and skills.
| CONCEPTUAL KNOWLEDGE | YEAR 13 | YEAR 2 | ||
|---|---|---|---|---|
| PRE | POST | PRE | POST | |
| Level of knowledge in global health | 33% | 91% | 50% | 92% |
| Level of knowledge in gender equity | 33% | 91% | 81% | 92% |
| Level of knowledge on intersectionality | 8% | 100% | 25% | 92% |
| Skill application | ||||
| I understand the global health architecture and the forces that influence in‑country programs and policies | 17% | 91% | 19% | 92% |
| I am able to conduct gender analysis on specific workplace situations, case studies, or policies | 8% | 100% | 6% | 92% |
Table 5
Participant reported changes in their ability to lead workplace project.
| CONFIDENCE AND SKILL APPLICATION | YEAR 1 | YEAR 2 | ||
|---|---|---|---|---|
| PRE | POST | PRE | POST | |
| I am confident in my ability to lead gender equity projects that facilitate policy‑related change in my workplace. | 8% | 82% | 38% | 100% |
| I can guide decision‑making at my organization to promote gender equity. | N/A | 100% | 38% | 92% |