| Literature DB >> 34649535 |
Hanna Luetke Lanfer1, Doreen Reifegerste2.
Abstract
BACKGROUND: Handwashing with soap is a cost-effective, efficient health behavior to prevent various diseases. Despite its immense health benefits, the lowest prevalence of handwashing is found in low-income countries. Here, its practice is not only determined by individual behavior, but also heavily shaped by deprivations in the social and structural ecology. Moreover, handwashing barriers are not equally experienced as overlapping social identities (e.g., age and gender) intersect and create inequities between members of different social groups. To embrace the complexities of handwashing beyond individual-level behavior and singular social identities, a combined socioecological and intersectional perspective is employed. This multi-level approach with regards to intersecting privileges and disadvantages serves as a basis to promote this highly important health behavior.Entities:
Keywords: Handwashing; Health inequalities; Intersectionality; Low-income countries; Qualitative method; Social determinants of health; Socioecological model
Mesh:
Substances:
Year: 2021 PMID: 34649535 PMCID: PMC8515313 DOI: 10.1186/s12889-021-11923-1
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Overview of the methodological approach
| Research interest | Data analysis | Sample |
|---|---|---|
| Multi-level determinants of handwashing (RQ 1) | Thematic analysis | Experts ( |
| Intersecting social identity dimensions with handwashing (RQ 2) | Thematic analysis | |
| High and low social positions for handwashing (RQ 3) | Typology |
Professional background of participants in the expert interviews (n = 22)
| Code | Participant’s professional background | No. of participants | Sector |
|---|---|---|---|
| Expert (1) | International program manager | 1 | NGO |
| Expert (2) | Local community engagement officer | 1 | NGO |
| Experts (3.1 & 3.2) | Local nurse | 2 | Healthcare |
| Expert (4) | Local religious leader | 1 | Local leadership |
| Expert (5) | Local trainer of CHWs | 1 | NGO |
| Expert (6) | Local community engagement officer | 1 | NGO |
| Expert (7) | International journalist | 1 | Media |
| Expert (8) | Local paramount chief | 1 | Local leadership |
| Expert (9) | Local religious leader | 1 | Local leadership |
| Expert (10) | Local policymaker & program manager | 1 | NGO |
| Expert (11) | Local policymaker & program manager | 1 | NGO |
| Expert (12) | Local journalist | 1 | Media |
| Expert (13) | Local religious leader | 1 | Local leadership |
| Expert (14.1. & 14.2) | Local community engagement officer | 2 | NGO |
| Expert (15) | Local program manager | 1 | NGO |
| Expert (16) | Local nurse | 1 | Healthcare |
| Expert (17) | Local government official, national level | 1 | Government |
| Expert (18) | International media producer | 1 | Media, NGO |
| Expert (19 | Local government official, district level | 1 | Government |
| Expert (20) | Local media producer | 1 | Media, NGO |
Demographics of local citizens (n = 56)
| Characteristics | |
|---|---|
| Gender | |
| Female | 28 |
| Male | 28 |
| Location | |
| Rural | 28 |
| Urban | 28 |
| Age group | |
| Young | 24 |
| Middle | 20 |
| Old | 11 |
| Missing | 1 |
| Education | |
| No formal education | 31 |
| Primary school | 14 |
| Secondary school | 10 |
| College/University | 1 |
Fig. 1Seven intersecting dimensions of handwashing behavior in an SEM