| Literature DB >> 36151547 |
Abstract
BACKGROUND: Dengue, a mosquito-borne viral disease, causes significant mortality and morbidity in low- to middle-income countries. A body of research indicates that women can be effective in implementing vector borne disease control, but they still face inequitable opportunities for participation, leadership and decision-making in the execution of dengue prevention and vector control programmes. Yet implementing informal environmental management practices to prevent mosquito vector breeding forms part of their domestic household responsibilities. Understanding the enablers and barriers to women's equitable roles with men in formal and informal disease prevention, and the benefits of their participation could help to increase their role and may be a contributing factor to reducing disease rates. The objective of this qualitative meta-synthesis was to synthesise evidence about women's roles in dengue prevention and control in the global south and generate insights around the barriers, enablers, and benefits.Entities:
Keywords: Dengue; Gender; Global south; Meta-synthesis; Prevention; Qualitative; Vector control; Women’s role
Mesh:
Year: 2022 PMID: 36151547 PMCID: PMC9508726 DOI: 10.1186/s12939-022-01726-0
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Fig. 1PRISMA flow diagram depicting the study selection process
Results of the Quality Appraisal (N of papers selected for the meta-analysis = 21)
| Author and year of publication | Abeyewickreme et al. [ | Amani et al. [ | Arunachalam et al. [ | Caprara et al. [ | Echaubard et al. [ | Espino et al. [ | García-Betancourt et al. [ | Idalí-Torres [ | Lloyd et al. [ | Mohamud et al. [ | Nading [ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1) congruity between the stated philosophical perspective and research methodology? | X | Y | Y | Y | Y | Y | Y | Y | Y | X | Y |
| 2) …the research methodology and research question or objectives? | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| 3) …the research methodology & methods used to collect data? | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| 4) …the research methodology & representation & analysis of data? | X | Y | Y | X | X | X | Y | Y | X | Y | Y |
| 5) …the research methodology & interpretation of results? | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| 6) Is there a statement locating the researcher culturally? | N | N | N | N | N | N | N | Y | N | N | Y |
| 7) Is the influence of the researcher on the research, & vice- versa, addressed? | N | N | N | N | N | N | N | N | N | N | Y |
| 8) Are participants, & their voices, adequately represented? | N | N | X | N | N | N | X | X | N | Y | Y |
| 9) Is the research ethical according to current criteria or for recent studies/evidence of ethical approval by an appropriate body? | Y | N | Y | Y | Y | Y | Y | N | Y | N | Y |
| 10) Do the conclusions drawn in the research report flow from the analysis or interpretation of the data? | Y | Y | Y | Y | Y | Y | Y | Y | Y | X | Y |
Y = yes, N = no, X = not applicable
Key words used in the search strategy
| Initial Scan | Dengue AND (gender or women or female) AND (prevention and/or control) |
|---|---|
| Additional keywords for initial broad searches: | (intervention or program/me or practice/s) AND (communities) AND/OR (formal or informal) AND/OR (participation or engagement or consultation or involvement or deliberative) OR (policy or health or healthcare or system or government or civil society) AND (qualitative research) AND (vector or mosquito) AND (urban or environment/al) AND (upgrading or development or planning or design or management or manipulation or modification) AND (global south or country or nation/s) AND (Africa or Asia or South East or Latin America or Pacific) |
| And strings ofa: | (vector-borne disease or communicable disease or neglected tropical disease or infectious disease) AND (protect/ion or measures) AND (girls or men or boys or male or transgender or non-binary) AND/OR (equality or equity or inclusion/include/d or exclusion/exclude/d or change) AND (integrated or multi-sectoral/multisectoral or social or preparedness) AND/OR (emergency response or outbreak or epidemic or endemic or pandemic) AND/OR (pathogen or sickness or illness or wellbeing or well-being) AND/OR (international and/or development or governance or health systems strengthening or World Health Organization or health sector or global health policy or health policy or Ministry of Health or plan or strategy) AND/OR (ecosystem or climate change or pollution) AND/OR (clinical or risk or causal and/or pathway or determinants or epidemiology) AND/OR (people or family or households or tribe or village) AND/OR (socio-economic or jobs or business) AND/OR (empowerment) AND/OR (hierarchy or structure/ral) AND/OR (hospital or clinical or facility or medication) AND/OR (water or waste or sanitation or fogging or net or spray/ing or container or upturned or pipe or bed and/or net or WASH or chemical or land or access) AND (vulnerable or marginalised or discrimination or minority) AND/OR (monitoring and/or evaluation) |
aDescriptive data on dengue scenarios are often buried in papers centred on a variety of diseases and do not come up in key word searches using the initial obvious key words, so the broader keywords in row three were employed
Number of titles returned from refined search
| Name of database or search engine | No of titles returned using combinations of the terms: (dengue) AND (gender or women or female) AND (prevention and/or control) |
|---|---|
| University of Glasgow Library Catalogue | 3025 (with gender only) (first 100 titles); 6191 (with women only); 11,492 (with female only); (first 100 titles) |
| UNSW Library Catalogue | 4033 (with gender only) (first 100 titles); 11,441 (with women only) (first 100 titles); 13,854 (with female only) (first 100 titles) |
| Google Scholar | 24,900 (with gender only) (first 100 titles); 38,400 (with women only) (first 100 titles); 42,400 (with female only) (first 100 titles) |
| Pub Med | 160 (with gender only)’ 158 (with women only); (with female only) 1805 (first 100 titles) |
| Medline | 2 (with gender only); 0 (with women only), but based on keywords 4902 (first 100 titles); (with female only) 2 |
| PsychINFO | 94 (with gender only); 93 (with women only); (with female only) 127 (first 100 titles) |
| ProQuest | 5321 (with gender only) (first 100 titles); 8243 (with women only) (first 100 titles); 9854 (with female only) (first 100 titles) |
| Scopus | 43 (with gender only); 95 (with women only); 791 (with female only) (first 100 titles) |
| EMBASE | 5465 (with gender only); 3138 (with women only) (first 100 titles); 4725 (with female only) (first 100 titles) |
| Web of Science | 77 (with gender only); 247 (with women only) (first 100 titles); 2170 (with female only) (first 100 titles) |
| EBSCOhost-Medline | 2 (with gender only); 4775 (with women only) (first 100 titles); 2 (with female only) |
| Psychology & Behavioural Sciences Collection | 51 (with gender only); 54 (with women only); 59 (with female only) |
Grey Literature Search (reproduced from Gunn et al. 2017, p.4)
| Organisation | Website | Relevant Papers |
|---|---|---|
| African Development Bank |
| NO |
| Asian Development Bank |
| 1 (found through research database) |
| Australian Agency for International Development |
| NO |
| Bayer |
| NO |
| CARE International |
| NO |
| CARE US |
| NO |
| CropLife International |
| NO |
| Department for International Development |
| NO |
| European Centre for Disease Prevention and Control |
| NO |
| Fiocruz (Brazil) |
| NO |
| Gates Foundation |
| NO |
| Innovative Vector Control Consortium |
| NO |
| Inter-American Development Bank |
| NO |
| International Initiative for Impact Evaluation |
| NO |
| International Institute for Environment and Development |
| NO |
| International Livestock Research Institute |
| NO |
| International Monetary Fund |
| NO |
| Oxfam |
| NO |
| President’s Malaria Initiative |
| NO |
| Roll Back Malaria |
| NO |
| The Global Fund |
| NO |
| United Nations Development Program |
| NO |
| United Nations | United States Centers for Disease Control and Prevention | NO |
| United States Agency for International Development |
| NO |
| Vector Control Research Centre |
| Page Not Available |
| Vestergaard Frandsen |
| NO |
| Wellcome Trust |
| NO |
| Women Organizing for Change in Agriculture and Natural Resource Management |
| 1 (Published by UNEP) |
| World Agroforestry Centre |
| NO |
| World Bank |
| 1 |
| WHO |
| 1 |
| World Vision |
| NO |
|
| ||
| UN Women |
| NO |
| Malaria Consortium |
| NO |
| United Nations Environment Programme (UNEP) Gender and Water Alliance |
| 1 (found through research database) |
Summary of literature search results
| No | Citation | Reason for exclusion |
|---|---|---|
| 1 | Bassoa,C., Garcıa da Rosa, E., Romeroc, S., et al. (2015) | A |
| 2 | World Bank (2008) | A |
| 3 | Alobuia, W.M., Missikpode, C., Aung, M., et al. (2015) | A |
| 4 | Chiaravalloti Neto, F., de Moraes, M.S., et al. (1998) | B |
| 5 | Crabtree, S.A., Wong, C.M., Mas’ud, F (2001). | E |
| 6 | Chiaravallot, N.F., Baglini, V., Cesarino, Favaro, E.A, et al. (2007) | B |
| 7 | Nava-Aguilera, E., Morales-Pérez, A., Balanzar-Martínez, A., et al. (201). | A |
| 8 | Hiaravalloti, V.B., Morais, M.S., Chiaravalloti, N.F., et al. (2002) | B |
| 9 | Lloyd, L.S., Winch, P., Ortega-Canto, J., et al. (1992) | A |
| 10 | García-Betancourt, T., Higuera-Mendieta, D.R., González-Uribe, C., et al. (2015) | D |
| 11 | Elsinga, J., Schmidt, M., Lizarazo, E.F., et al. (2018) | A |
| 12 | Arenas-Monreal, L., Piña-Pozas, M., Gómez-Dantés, H (2015) | Article in Spanish |
| 13 | Andersson, N., Nava-Aguilera, E., Arosteguí, J.(2015) | A |
| 14 | Paul, M.R.M (2006) | A |
| 15 | Sommerfeld. J and Kroeger, A (2015) | A |
| 16 | Andersson, N (2017) | A |
| 17 | Sulistyawati, S., Dwi Astuti, F., Rahmah Umniyati, S., et al. (2019) | A |
| 18 | Kusuma,Y.S., Burman, D., Kumari, R., et al. (2019) | A |
| 19 | Kendall, C., Hudelson, P., Leontsini, E., et al. (1991) | E |
| 20 | Van Benthem, B.H., Khantikul, N., Panart, K., et al. (2002) | A |
| 21 | Therawiwat, M., Fungladda, W., Kaewkungwal, J., et al. (2005) | A |
| 22 | Halton, K., Sarna, M., Barnett, A., et al. (2013) | Quantitative studies only |
| 23 | Cockcroft, A (2017) | A |
| 24 | Rakhmani, A.N., Limpanont, Y., Kaewkungwal, J., et al. (2018) | A |
| 25 | Andersson, N., Beauchamp, M., Nava-Aguilera, E., et al. (2017). | A |
| 26 | Pengvanich, V (2011) | A |
| 27 | Podder, D., Paul, B., Dasgupta, A., et al. (2019) | A |
| 28 | Sunil, A., Gnanadurai, A., Anto, T (2017) | A |
| 29 | Kholedi, A.A., Balubaid, O., Milaat, W., et al. (2012) | A |
| 30 | Firdous, J., Mohamed, A., Al Amin, M., et al. (2017) | A |
| 31 | Faridah, L., Nuriyah, E., Ekawardhani, S., et al. (2019) | A |
| 32 | World Health Organization (WHO) and the Special Programme for Researchand Training in Tropical Diseases (TDR) (2009) | A |
| 33 | Soedarmo, S.P. (1993) | A |
| 34 | Shafique, M., Lopes, S., Doum, D., et al. (2019) | C |
| 35 | Khun, S., Manderson, L (2007) | Women discussed only as passive recipients of health education for prevention. |
| 36 | Frank, A.L., Beales, E.R., de Wildt, G., et al. (2017) | C |
| 37 | Zuhriyah, L., Mayashinta, D.K., Kurnianingsih, N., et al. (2019) | No gender analysis in qualitative data |
| 38 | Dickin, S.K., Schuster-Wallace, C.J., Elliott, S.J. (2014 | A |
| 39 | Daude, E., Mazumdar, S., Solanki, V (2017) | A |
| 40 | Idalí Torres, M (1997) | D |
| 41 | Boischio, A., Sánchez, A., Orosz, Z., et al. (2009) | A |
| 42 | Tapia-Conyer, R. Méndez-Galván, J., and Burciaga-Zúñiga, P (2012) | A |
| 43 | Harapan, H., Anwar, S., Bustaman, A., et al. (2016) | A |
| 44 | Kyu, H.H., Thu, M., and Van der Putten, M (2005). | A |
| 45 | Wong, L.P., Shakir, S.M.M., Atefi, N., et al. (2015) | A |
Decisions to Exclude
A – No qualitative data on women’s role in prevention
B – Article in Portuguese
C - Insufficient gender analysis in qualitative data
D - Removed from meta-synthesis during sensitivity analysis
E – No gender analysis