| Literature DB >> 34948996 |
Vandana Sharma1,2, Annika Gompers3, Jocelyn T D Kelly2,4, Erin Patrick5, Christine Heckman6, Arsema Solomon3, Jennifer Scott3,7.
Abstract
Available evidence indicates that the COVID-19 pandemic and response measures may lead to increased risk of gender-based violence (GBV), including in humanitarian contexts. This study examined the knowledge, attitudes, and practices of humanitarian practitioners related to GBV risk mitigation approaches during COVID-19 in order to refine current guidance and inform future materials. A global, online cross-sectional survey of humanitarian practitioners was conducted between November 2020 and April 2021. We calculated descriptive statistics and used Chi-square or Fisher's exact tests to compare knowledge, attitudes, and practices among GBV specialists and non-specialists. Of 170 respondents, 58% were female and 44% were GBV specialists. Almost all (95%) of the respondents agreed or strongly agreed that they have a role to play in GBV risk mitigation. Compared to GBV specialists, a higher proportion of non-specialists reported little to no knowledge on GBV risk mitigation global guidance (38% vs. 7%, p < 0.001) and on how to respond to a disclosure of GBV (18% vs. 3%, p < 0.001). Respondents reported several barriers to integrating GBV risk mitigation into their work during COVID-19, including insufficient funding, capacity, knowledge, and guidance. Efforts to mainstream GBV risk mitigation actions should continue and intensify, leveraging the lessons and experiences generated thus far.Entities:
Keywords: COVID-19; GBV risk mitigation; gender-based violence; humanitarian aid; humanitarian contexts; humanitarian response; protection
Mesh:
Year: 2021 PMID: 34948996 PMCID: PMC8709015 DOI: 10.3390/ijerph182413387
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
The three pillars of GBV action in humanitarian emergencies. Adapted from the IASC GBV Guidelines training materials [25].
| GBV Prevention | GBV Risk Mitigation | GBV Response | |
|---|---|---|---|
|
| Interventions to prevent GBV from first occurring | Interventions that reduce exposure to GBV and ensure that humanitarian response actions and services themselves do not cause harm or increase risk of violence | Interventions to address the consequences of GBV after it has happened |
|
| Address root causes of violence such as gender inequalities and social norms | Proactively identify and, to the extent possible, address contributing factors | Provide specialized response services to survivors of GBV |
|
| Could be carried out by GBV specialists, but also other humanitarian actors if appropriate | Responsibility of all humanitarian actors, governments, communities, everyone | GBV, Health and Protection Specialists who have appropriate training |
|
| Community awareness and social norms interventions to promote positive gender norms and equal power dynamics | Reduce exposure to GBV by addressing overcrowding, improving safety at access points (food, water, health services), adequate lighting, appropriate shelter division, gender-segregated latrines | Case management, mental health and psychosocial support, clinical care, legal support |
Demographic and employment characteristics of humanitarian practitioners in the study sample.
| All | GBV Specialists | Non-GBV Specialists | |
|---|---|---|---|
| N (%) | N (%) | N (%) | |
|
| |||
| English | 129 (75.9) | 56 (75.7) | 73 (76.0) |
| French | 17 (10.0) | 8 (10.8) | 9 (9.4) |
| Arabic | 13 (7.7) | 5 (6.8) | 8 (8.3) |
| Spanish | 11 (6.5) | 5 (6.8) | 6 (6.3) |
|
| |||
| Female | 98 (57.7) | 49 (66.2) | 49 (51.0) |
| Male | 69 (40.6) | 24 (32.4) | 45 (46.9) |
| Prefer not to say or Other | 3 (1.8) | 1 (1.4) | 2 (2.1) |
|
| |||
| Ethiopia | 25 (14.7) | 12 (16.2) | 13 (13.5) |
| Global | 11 (6.5) | 7 (9.5) | 4 (4.2) |
| Uganda | 11 (6.5) | 2 (2.7) | 9 (9.4) |
| Colombia | 9 (5.3) | 3 (4.1) | 6 (6.3) |
| Mali | 9 (5.3) | 3 (4.1) | 6 (6.3) |
| Syria | 9 (5.3) | 5 (6.8) | 4 (4.2) |
| Kenya | 8 (4.7) | 6 (8.1) | 2 (2.1) |
| A different country | 88 (51.8) | 36 (48.6) | 52 (54.2) |
|
| |||
| Yes | 47 (27.7) | 21 (28.4) | 26 (27.1) |
|
| |||
| Yes | 19 (11.2) | 9 (12.2) | 10 (10.4) |
|
| |||
| Yes | 12 (7.1) | 6 (8.1) | 6 (6.3) |
|
| |||
| Yes | 8 (4.7) | 3 (4.1) | 5 (5.2) |
|
| |||
| High school or equivalent | 4 (2.4) | 2 (2.7) | 2 (2.1) |
| Bachelor’s degree | 40 (23.5) | 12 (16.2) | 28 (29.2) |
| Master’s degree | 89 (52.4) | 43 (58.1) | 46 (47.9) |
| Professional degree | 10 (5.9) | 4 (5.4) | 6 (6.3) |
| Doctorate | 12 (7.1) | 7 (9.5) | 5 (5.2) |
| Technical/trade | 1 (0.6) | 0 (0.0) | 1 (1.0) |
| Other or missing | 3 (1.8) | 6 (8.1) | 8 (8.3) |
|
| |||
| Employed full time | 142 (83.5) | 64 (86.5) | 78 (81.3) |
| Employed part time | 17 (10.0) | 7 (9.5) | 10 (10.4) |
| Unemployed | 5 (2.9) | 2 (2.7) | 3 (3.1) |
| In education or training | 8 (4.7) | 3 (4.1) | 5 (5.2) |
| Retired | 1 (0.6) | 1 (1.4) | 0 (0.0) |
| Other | 2 (1.2) | 0 (0.0) | 2 (2.1) |
|
| |||
| <1 year | 3 (1.8) | 2 (2.7) | 1 (1.0) |
| 1–4.9 years | 50 (29.4) | 21 (28.4) | 29 (30.2) |
| 5–9.9 years | 52 (30.6) | 20 (27.0) | 32 (33.3) |
| 10–14.9 years | 33 (19.4) | 13 (17.6) | 20 (20.8) |
| 15 or more years | 32 (18.8) | 18 (24.3) | 14 (14.6) |
|
| |||
| Camp Coordination and Camp Management | 12 (7.1) | 4 (5.4) | 8 (8.3) |
| Child Protection | 44 (25.9) | 18 (24.3) | 26 (27.1) |
| Education | 35 (20.6) | 12 (16.2) | 23 (24.0) |
| Food Security & Agriculture | 22 (12.9) | 8 (10.8) | 14 (14.6) |
| Health | 61 (35.9) | 23 (31.1) | 38 (39.6) |
| Housing, Land, and Property | 7 (4.1) | 3 (4.1) | 4 (4.2) |
| Humanitarian Mine Action | 2 (1.2) | 2 (2.7) | 0 (0.0) |
| Humanitarian Operations Support Sectors | 21 (12.4) | 5 (6.8) | 16 (16.7) |
| Livelihoods | 33 (19.4) | 10 (13.5) | 23 (24.0) |
| Nutrition | 20 (11.8) | 5 (6.8) | 15 (15.6) |
| Protection/GBV | 89 (52.4) | 53 (71.6) | 36 (37.5) |
| Shelter | 11 (6.5) | 3 (4.1) | 8 (8.3) |
| WASH | 25 (14.7) | 5 (6.8) | 20 (20.8) |
| Other | 32 (18.8) | 10 (13.5) | 22 (22.9) |
|
| |||
| Active conflict | 54 (31.8) | 31 (41.9) | 23 (24.0) |
| Disaster/natural hazard | 42 (24.7) | 19 (25.7) | 23 (24.0) |
| Stable protracted emergency | 55 (32.4) | 26 (35.1) | 29 (30.2) |
| Post-conflict/post-disaster | 61 (35.9) | 30 (40.5) | 31 (32.3) |
| Urban | 67 (39.4) | 32 (43.2) | 35 (36.5) |
| Rural | 61 (35.9) | 27 (36.5) | 34 (35.4) |
| Displacement camp/settlement | 54 (31.8) | 31 (41.9) | 23 (24.0) |
| IDPs | 76 (44.7) | 38 (51.4) | 38 (39.6) |
| Refugees | 78 (45.9) | 37 (50.0) | 41 (42.7) |
| Host population(s) | 70 (41.2) | 37 (50.0) | 33 (34.4) |
| Other | 16 (9.4) | 7 (9.5) | 9 (9.4) |
|
| |||
| Yes | 74 (43.5) | 74 (100.0) | 0 (0.0) |
|
| |||
| UN and related organizations | 30 (17.7) | 16 (21.6) | 14 (14.6) |
| International NGO | 86 (50.6) | 40 (54.1) | 46 (47.9) |
| National NGO | 40 (23.5) | 18 (24.3) | 22 (22.9) |
| Community Based Organization (CBO) | 12 (7.1) | 6 (8.1) | 6 (6.3) |
| Local women’s organization | 9 (5.3) | 8 (10.8) | 1 (1.0) |
| Academic/research | 12 (7.1) | 3 (4.1) | 9 (9.4) |
| Government | 9 (5.3) | 3 (4.1) | 6 (6.3) |
| Private sector | 9 (5.3) | 1 (1.4) | 8 (8.3) |
| Health facility | 3 (1.8) | 1 (1.4) | 2 (2.1) |
| Consultancy firm | 2 (1.2) | 1 (1.4) | 1 (1.0) |
| Self-employed | 8 (4.7) | 6 (8.1) | 2 (2.1) |
| Donor | 2 (1.2) | 0 (0.0) | 2 (2.1) |
| Faith-based organization | 5 (2.9) | 2 (2.7) | 3 (3.1) |
| Military | 1 (0.6) | 1 (1.4) | 0 (0.0) |
| Other | 6 (3.5) | 1 (1.4) | 5 (5.2) |
|
| |||
| Human resources | 26 (15.3) | 12 (16.2) | 14 (14.6) |
| Professional development | 68 (40.0) | 35 (47.3) | 33 (34.4) |
| Program administration/management | 100 (58.8) | 47 (63.5) | 53 (55.2) |
| M&E | 69 (40.6) | 29 (39.2) | 40 (41.7) |
| Management of field-based work | 34 (20.0) | 17 (23.0) | 17 (17.7) |
| Organizational/institutional policies | 47 (27.7) | 27 (36.5) | 20 (20.8) |
| Engagement with beneficiaries | 71 (41.8) | 35 (47.3) | 36 (37.5) |
| Media/communications/Public relations | 32 (18.8) | 12 (16.2) | 20 (20.8) |
| Advocacy | 52 (30.6) | 30 (40.5) | 22 (22.9) |
| Other | 14 (8.2) | 5 (6.8) | 9 (9.4) |
|
| |||
| 40.9 ± 29.9 | 38.8 ± 25.1 | 42.5 ± 33.2 | |
|
| |||
| 28.1 ± 29.7 | 23.6 ± 21.4 | 31.7 ± 34.9 |
* Respondent could select multiple options.
GBV Risk Mitigation Knowledge, Attitudes and Practices of GBV and non-GBV specialists.
| All | GBV Specialists | Non-GBV Specialists | ||
|---|---|---|---|---|
| N (%) | N (%) | N (%) | ||
|
| ||||
| As a humanitarian professional, I have a role to play in GBV risk mitigation | 162 (95.3) | 72 (97.3) | 90 (93.8) | 0.47 |
| Only GBV specialists should work to mitigate risks of GBV | 12 (7.1) | 6 (8.1) | 6 (6.3) | 0.64 |
| It is not within my scope of work to mitigate risks of GBV | 22 (12.9) | 5 (6.8) | 17 (17.7) | 0.03 |
| Sector-specific work is a priority over addressing GBV | 45 (26.5) | 19 (25.7) | 26 (27.1) | 0.84 |
| I would like to work to mitigate risks of GBV, but I do not have the support of my supervisor(s)/senior management to do so | 34 (20.0) | 12 (16.2) | 22 (22.9) | 0.28 |
| I would like to work to mitigate risks of GBV, but there are limited financial resources | 101 (59.4) | 44 (59.5) | 57 (59.4) | 0.99 |
| I would like to work to mitigate risks of GBV, but I do not have the time | 23 (13.5) | 5 (6.8) | 18 (18.8) | 0.02 |
| I would like to work to mitigate risks of GBV, but I do not have the knowledge or skills | 48 (28.2) | 5 (6.8) | 43 (44.8) | <0.001 |
|
| ||||
| Global guidance on GBV RM in humanitarian programming | 41 (24.1) | 5 (6.8) | 36 (37.5) | <0.001 |
| How to respond if a survivor discloses an experience of GBV and asks for your help | 19 (11.2) | 2 (2.7) | 17 (17.7) | 0.002 |
| Measuring GBV RM outcomes in your sector-specific humanitarian programming | 43 (25.3) | 8 (10.8) | 35 (36.5) | <0.001 |
| Asking about safety perceptions of women and girls in your sector-specific humanitarian programming | 33 (19.4) | 1 (1.4) | 32 (33.3) | <0.001 |
|
| ||||
| Have implemented GBV RM activities at least once in a humanitarian emergency | 112 (65.9) | 64 (86.5) | 48 (50.0) | <0.001 |
| Day-to-day work never or rarely involves GBV RM efforts | 46 (27.1) | 7 (9.5) | 39 (40.6) | <0.001 |
* p-values calculated by Chi-square or Fisher’s exact test. † Answer options were: Strongly agree, Agree, Neutral, Disagree, and Strongly Disagree. ‡ Answer options were: Expert knowledge, A lot of knowledge, Some knowledge, A little knowledge, and No knowledge. GBV RM: GBV risk mitigation.
Humanitarian programs & perceived GBV risk during COVID-19.
| All | GBV Specialists | Non-GBV Specialists | ||
|---|---|---|---|---|
| N (%) | N (%) | N (%) | ||
|
|
|
|
| |
| To a great extent | 93 (54.7) | 42 (56.8) | 51 (53.3) | 0.18 |
| To a moderate extent | 58 (34.1) | 28 (37.8) | 30 (31.3) | |
| To a small extent | 7 (4.1) | 1 (1.3) | 6 (6.3) | |
| Not at all | 4 (2.4) | 2 (2.7) | 2 (2.1) | |
| I don’t know | 8 (4.7) | 1 (1.4) | 7 (7.3) | |
|
|
|
|
| |
| To a great extent | 56 (32.9) | 30 (40.5) | 26 (27.1) | 0.01 |
| To a moderate extent | 54 (31.8) | 28 (37.8) | 26 (27.1) | |
| To a small extent | 30 (17.7) | 10 (13.5) | 20 (20.8) | |
| Not at all | 7 (4.1) | 3 (4.1) | 4 (4.2) | |
| I don’t know | 23 (13.5) | 3 (4.1) | 20 (20.8) | |
|
|
|
|
| |
| Increased to a great extent | 94 (55.3) | 47 (63.5) | 47 (49.0) | 0.20 |
| Increased to a moderate extent | 41 (24.1) | 19 (25.7) | 22 (22.9) | |
| Increased to a small extent | 9 (5.3) | 3 (4.1) | 6 (6.3) | |
| No change | 4 (2.4) | 1 (1.4) | 3 (3.1) | |
| Decreased | 4 (2.4) | 1 (1.4) | 3 (3.1) | |
| Some risks increased and some risks decreased | 5 (2.9) | 1 (1.4) | 4 (4.2) | |
| I don’t know | 13 (7.7) | 2 (2.7) | 11 (11.5) | |
|
|
|
|
| |
| Intimate partner violence | 126 (84.6) | 58 (82.9) | 68 (86.1) | 0.59 |
| Rape and non-partner sexual violence | 65 (43.6) | 36 (51.4) | 29 (36.7) | 0.07 |
| Sexual exploitation / transactional sex | 91 (61.1) | 48 (68.6) | 43 (54.4) | 0.08 |
| Early, child, and/or forced marriage | 79 (53.0) | 48 (68.6) | 31 (39.2) | <0.001 |
| Female genital cutting | 20 (13.4) | 15 (21.4) | 5 (6.3) | 0.01 |
| Sexual harassment | 78 (52.4) | 39 (55.7) | 39 (49.4) | 0.44 |
| Socioeconomic violence | 105 (70.5) | 48 (68.6) | 57 (72.2) | 0.63 |
| Emotional/psychological violence | 118 (79.2) | 57 (81.4) | 61 (77.2) | 0.53 |
| Other | 4 (2.7) | 3 (4.3) | 1 (1.3) | 0.34 |
| I don’t know | 3 (2.0) | 0 (0.0) | 3 (3.8) | 0.25 |
|
|
|
|
| |
| Adult women | 126 (84.6) | 63 (90.0) | 63 (79.8) | 0.08 |
| Adult men | 25 (16.8) | 13 (18.6) | 12 (15.2) | 0.58 |
| Adolescent girls | 129 (86.6) | 61 (87.1) | 68 (86.1) | 0.85 |
| Adolescent boys | 38 (25.5) | 17 (24.3) | 21 (26.6) | 0.75 |
| Elderly women | 55 (36.9) | 29 (41.4) | 26 (32.9) | 0.28 |
| People with disabilities | 78 (52.4) | 42 (60.0) | 36 (45.6) | 0.08 |
| Individuals of non-conforming sexual/gender identities | 38 (25.5) | 24 (34.3) | 14 (17.7) | 0.02 |
| Other | 3 (2.0) | 2 (2.9) | 1 (1.3) | 0.6 |
| I don’t know | 9 (6.0) | 4 (5.7) | 5 (6.3) | 1 |
* p-values calculated by Chi-square or Fisher’s exact test. Respondent could select multiple options.
Integration of GBV risk mitigation before and during COVID-19.
| All | GBV Specialists | Non-GBV Specialists | ||
|---|---|---|---|---|
| N (%) | N (%) | N (%) | ||
|
| ||||
| To a small extent or not at all | 50 (34.7) | 22 (31.4) | 28 (37.8) | 0.42 |
| To a great or moderate extent | 94 (65.3) | 48 (68.6) | 46 (62.2) | |
|
| ||||
| To a small extent or not at all | 47 (32.6) | 20 (28.6) | 27 (36.5) | 0.31 |
| To a great or moderate extent | 97 (67.4) | 50 (71.4) | 47 (63.5) | |
GV risk mitigation adaptations and effectiveness during COVID-19.
| All | GBV Specialists | Non-GBV Specialists | ||
|---|---|---|---|---|
| N (%) | N (%) | N (%) | ||
|
| ||||
| Among those integrating GBV RM, GBV RM strategies have been adapted during COVID-19 (N = 140) | 104 (61.2) | 56 (81.2) | 48 (67.6) | 0.07 |
| Among those adapting GBV RM, adaptations have included (N = 104) | ||||
| Changing modality of service delivery | 68 (65.4) | 40 (71.4) | 28 (58.3) | 0.16 |
| Changing timing/frequency of service delivery | 60 (57.7) | 36 (64.3) | 24 (50.0) | 0.14 |
| Changing modality/implementation of consultations with | 74 (71.2) | 43 (76.8) | 31 (64.6) | 0.17 |
| Stopping service delivery | 9 (8.7) | 5 (8.9) | 4 (8.3) | 1 |
| Increased coordination/contact with GBV specialists | 47 (45.2) | 28 (50.0) | 19 (39.6) | 0.29 |
| Providing up-to-date info about referral pathways | 56 (53.9) | 34 (60.7) | 22 (45.8) | 0.13 |
| Setting up additional entry points to connect with GBV services | 34 (32.7) | 19 (33.9) | 15 (31.3) | 0.77 |
| Including GBV information in COVID-19 education materials | 68 (65.4) | 37 (66.1) | 31 (64.6) | 0.87 |
| Other | 1 (1.0) | 1 (1.8) | 0 (0.0) | 1 |
|
| ||||
| Level of effectiveness of GBV RM in your sector-specific work during COVID-19 (N = 170) | ||||
| Very or fairly effective | 52 (30.6) | 31 (41.9) | 21 (21.9) | 0.02 |
| Somewhat effective or less | 93 (54.7) | 35 (47.3) | 58 (60.4) | |
| Not sure/don’t know | 25 (14.7) | 8 (10.8) | 17 (17.7) | |
| Reasons GBV risk mitigation not more effective * (N = 93) | ||||
| Not enough funding | 58 (62.4) | 23 (65.7) | 35 (60.3) | 0.6 |
| Not enough guidance/gaps in guidance | 39 (41.9) | 9 (25.7) | 30 (51.7) | 0.01 |
| Guidance not translated into my language | 13 (14.0) | 6 (17.1) | 7 (12.1) | 0.55 |
| Barriers to access guidance (e.g., internet, ability to print) | 25 (26.9) | 8 (22.9) | 17 (29.3) | 0.5 |
| Guidance not available in my preferred modality | 8 (8.6) | 1 (2.9) | 7 (12.1) | 0.25 |
| Lack of organizational commitment to address GBV risk | 36 (38.7) | 11 (31.4) | 25 (43.1) | 0.26 |
| Prioritizing other issues | 43 (46.2) | 19 (54.3) | 24 (41.4) | 0.23 |
| COVID-19 restrictions | 49 (52.7) | 18 (51.4) | 31 (53.5) | 0.85 |
| Insufficient human resources | 36 (38.7) | 12 (34.3) | 24 (41.4) | 0.5 |
| Insufficient staff capacity/knowledge | 40 (43.0) | 16 (45.7) | 24 (41.4) | 0.68 |
| Other | 4 (4.3) | 0 (0.0) | 4 (6.9) | 0.29 |
* p-values calculated by Chi-square or Fisher’s exact test, GBV RM: GBV risk mitigation.
| Protection Sectors | Non-Protection Sectors | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All | Protection/GBV | Child Protection | CCCM | Education | Food Security & Agriculture | Health | Housing, Land, and Property | Humanitarian Mine Action | Humanitarian Operations Support Sectors | Livelihoods | Nutrition | Shelter | WASH | Other | |
| N = 170 | N = 89 | N = 44 | N = 12 | N = 35 | N = 22 | N = 61 | N = 7 | N = 2 | N = 21 | N = 33 | N = 20 | N = 11 | N = 25 | N = 32 | |
| N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | |
|
| |||||||||||||||
| As a humanitarian professional, I have a role to play in GBV risk mitigation | 162 (95.3) | 88 | 43 (97.7) | 12 | 33 | 21 | 58 | 7 | 2 | 21 (100.0) | 33 (100.0) | 20 (100.0) | 10 | 25 | 30 |
| Only GBV specialists should work to mitigate risks of GBV | 12 | 4 | 3 | 2 | 3 | 3 | 1 | 1 | 0 | 3 | 1 | 0 | 1 | 1 | 3 |
| It is not within my scope of work to mitigate risks of GBV | 22 | 9 | 6 | 4 | 10 | 3 | 7 | 1 | 0 | 6 | 3 | 2 | 3 | 3 | 5 |
| Sector-specific work is a priority over addressing GBV | 45 | 19 | 13 (29.6) | 5 | 9 | 9 | 18 | 2 | 1 | 8 | 8 | 7 | 6 | 9 | 9 |
| I would like to work to mitigate risks of GBV, but I do not have the support of my supervisor(s)/senior management to do so | 34 | 13 | 10 (22.7) | 3 | 8 | 8 | 11 | 2 | 2 | 6 | 8 | 2 | 1 | 6 | 8 |
| I would like to work to mitigate risks of GBV, but there are limited financial resources | 101 (59.4) | 59 | 33 (75.0) | 7 | 23 | 14 | 41 | 5 | 2 | 15 | 24 | 9 | 7 | 16 | 17 |
| I would like to work to mitigate risks of GBV, but I do not have the time | 23 | 13 | 8 | 1 | 6 | 1 | 9 | 2 | 0 | 2 | 3 | 1 | 2 | 3 | 5 |
| I would like to work to mitigate risks of GBV, but I do not have the knowledge or skills | 48 | 13 | 12 (27.3) | 2 | 14 | 8 | 17 | 4 | 0 | 5 | 7 | 6 | 4 | 7 | 13 |
|
| |||||||||||||||
| Global guidance on GBV RM in humanitarian programming | 41 | 14 | 10 (22.7) | 2 | 9 | 4 | 15 | 2 | 0 | 6 | 9 | 4 | 2 | 5 | 6 |
| How to respond if a survivor discloses an experience of GBV and asks for your help | 19 | 3 | 3 | 2 | 4 | 4 | 4 | 2 | 0 | 5 | 5 | 1 | 2 | 4 | 5 |
| Measuring GBV RM outcomes in your sector-specific humanitarian programming | 43 | 12 | 9 | 4 | 11 | 6 | 9 | 3 | 0 | 8 | 8 | 3 | 5 | 8 | 7 |
| Asking about safety perceptions of women and girls in your sector-specific humanitarian programming | 33 | 8 | 9 | 2 | 7 | 4 | 13 | 2 | 0 | 7 | 8 | 5 | 2 | 7 | 4 |
|
| |||||||||||||||
| Have implemented GBV RM activities at least once in a humanitarian emergency | 112 (65.9) | 70 | 30 | 10 | 17 | 13 | 37 | 2 | 1 (50.0) | 15 | 21 | 14 (70.0) | 8 | 17 | 19 |
| Day-to-day work never or rarely involves GBV RM efforts | 46 | 11 | 10 | 2 | 15 | 6 | 17 | 4 | 1 (50.0) | 8 | 8 | 6 | 3 | 6 | 10 |
| Is a GBV specialist | 74 | 53 | 18 | 4 | 12 | 8 | 23 | 3 | 2 | 5 | 10 | 5 | 3 | 5 | 10 |
| If not, never or rarely engages with GBV specialists | 50 | 11 | 15 | 4 | 15 | 6 | 21 | 4 | - | 8 | 14 | 9 | 5 | 7 | 14 |
GBV RM: GBV risk mitigation.