| Literature DB >> 26175028 |
Jessica D Rothstein, Elli Leontsini, Maribel Paredes Olortegui, Pablo Peñataro Yori, Pamela J Surkan, Margaret Kosek.
Abstract
The gap between the efficacy and the effectiveness of household water treatment in reducing diarrhea-related morbidity indicates the need for a better understanding of the determinants of long-term behavior change. To explore the barriers to drinking water chlorination in the Peruvian Amazon, where diarrhea is endemic among under-5 children, we conducted qualitative research with 23 caregivers from peri-urban communities of Iquitos, Peru. Our inquiry drew on the Transtheoretical Model of behavior change and the Integrated Behavioral Model for Water, Sanitation, and Hygiene to identify the most relevant contextual, psychosocial, and technological determinants of initial action and long-term adoption of chlorination. Our findings suggest that the decision to try out this practice resulted from the combined effect of knowledge of chlorination benefits and product availability and affordability. Progress from action to adoption was influenced by caretakers' understanding of dosage, the packaging of chlorine products, knowledge and skills for multipurpose laundry bleach, the taste of treated water, and reinforcement. This analysis suggests that a focus on these determinants and the household domain may help to improve the sustainability of future intervention efforts. © The American Society of Tropical Medicine and Hygiene.Entities:
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Year: 2015 PMID: 26175028 PMCID: PMC4559710 DOI: 10.4269/ajtmh.14-0654
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 2.345
POUWT practices of study participants
| Category | IDI participants ( | FGD participants ( | Total ( |
|---|---|---|---|
| Current users | |||
| Consistent users of chlorine | 5 | 2 | 7 |
| Occasional users of chlorine | 3 | 0 | 3 |
| Current nonusers | |||
| Tried in past and discontinued; does not currently boil water | 4 | 1 | 5 |
| Tried in past and discontinued; currently boils water | 2 | 1 | 3 |
| Has never used chlorine; currently boils water | 1 | 0 | 1 |
| Has never used chlorine nor boiled water in past | 3 | 1 | 4 |
FGD = focus group discussion; IDI = in-depth interview; POUWT = point-of-use water treatment.
Category defined by user self-report.
Data collection zones
| Zone | Data collection | Water source | Health facility | Relevant characteristics |
|---|---|---|---|---|
| 1 | 3 pilot IDIs | Piped to home | Limited facility in town (Health Post) | Established 1949; centralized water treated with flocculation and chlorination available to most homes |
| 3 IDIs | ||||
| 1 FGD | ||||
| 2 | 4 IDIs | Artesian well; well with hand pump | Larger facility between 1 and 5 km from communities (Health Center) | Established 2002; first unauthorized settlements in area; population close to 1,000 individuals |
| 3 | 4 IDIs | Artesian well; well with hand pump | Established 2010–2011; smaller villages with less infrastructure; more severe poverty | |
| 4 | 4 IDIs | Well with hand pump | Established 2003–2010; some participants ( |
FGD = focus group discussion; IDIs = in-depth interviews.
Data collection methods and instruments
| Data collection method | Goal of method | Development of instrument |
|---|---|---|
| IDI with caregivers | Explore POUWT behaviors, how they have changed over time, and what factors motivate or impede the changes | Informed by behavior change continuum and IBM-WASH; modified based on input from FWs and community members |
| Indirect observation | Assess products in home as proxy for behaviors and evaluate access to resources | Informed by observations of community members and |
| Focus group discussion | Validate interpretation of themes arising from analysis of IDIs | Created during iterative process of data collection and analysis |
| Interview with health sector staff | Gather supplemental information on current and past health sector interventions for chlorination | Questions emerged in response to themes mentioned during IDIs |
FWs = field workers; IBM-WASH = Integrated Behavioral Model for Water, Sanitation, and Hygiene; IDI = in-depth interview; POUWT = point-of-use water treatment.
Figure 1.Determinants of action and adoption of point-of-use (POU) drinking water chlorination.
Demographic information of IDI participants
| Category | |
|---|---|
| Age (years) | |
| ≤ 19 | 1 |
| 20–24 | 3 |
| 25–29 | 7 |
| 30–34 | 4 |
| ≥ 35 | 3 |
| Marital status | |
| Never married | 2 |
| Married | 15 |
| Divorced | 1 |
| Education level | |
| Incomplete primary (< 6 years) | 4 |
| Complete primary (6 years) | 2 |
| Incomplete secondary (< 14 years) | 11 |
| Complete secondary (14 years) | 1 |
| Number of children | |
| 1–2 | 9 |
| 3–5 | 7 |
| ≥ 6 | 2 |
| Main source of drinking water | |
| Borehole | 7 |
| Artesian well | 5 |
| Piped to home | 5 |
| Other | 1 |
| Daily income per capita (USD/day) | |
| < 1 | 10 |
| 1–2 | 7 |
| > 2 | 1 |
IDI = in-depth interview; USD = U.S. dollars.