scholarly journals Understanding Adolescents' Perceptions of Diarrhea: A Formative Research Study of a Visual Scale to Measure Self-Reported Diarrhea in Low-Resource Settings

2021 ◽  
Vol 9 ◽  
Author(s):  
Anise Gold-Watts ◽  
Geir Aamodt ◽  
Subramanian Gandhimathi ◽  
Rajamani Sudha ◽  
Sheri Bastien

Introduction: Although water, sanitation, and hygiene interventions are effective in reducing diarrhea, there are methodological issues regarding the research tools used to evaluate their health impact. Moreover, there is limited research on individuals' subjective interpretations of diarrheal illness which may introduce further limitations in relying on self-reported data. Therefore, we conducted a study that aims to understand adolescents' perceptions of diarrheal illness in rural Tamil Nadu, India. Next, we wish to explore the acceptability of the Bristol Stool Form Scale to assess self-reported diarrhea in water, sanitation, and hygiene interventions involving adolescent participants in low-resource settings.Materials and Methods: The study was conducted as part of the formative research phase in the cultural adaptation of Project SHINE, a school-based educational water, sanitation, and hygiene intervention in Thirumalaikodi, Tamil Nadu, India. A convergent parallel mixed-methods study design with a purposive sampling strategy was used. Qualitative data included 10 in-depth interviews with student participants aged 13–14. Quantitative data were collected through interviewer-administered face-to-face surveys (n = 14) and one-week stool diaries (n = 14). Each data set was analyzed separately and compiled during the interpretation of the findings.Results: Across all data sets, diarrhea was reported to be perceived as unhealthy and an irregular occurrence among participants. Participants also reported diarrheal-taboos, local methods to cure or control diarrhea, and discussed how diarrheal illness can lead to absenteeism or withdrawal from school and social activities. Moreover, participants were able to understand and answer questions about their stool using the Bristol Stool Form Scale, suggesting that is an acceptable tool.Discussion: Visual tools demonstrate promise in improving self-reported diarrheal illness among adolescents in low-resource settings in India. However, until we address diarrhea-related taboos it will be difficult to address methodological issues in the assessment and reporting of diarrheal illness among adolescents.

2009 ◽  
Vol 2 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Allison Bingham ◽  
Amynah Janmohamed ◽  
Rosario Bartolini ◽  
Hilary M. Creed-Kanashiro ◽  
Yanuar Ruhweza Katahoire ◽  
...  

Author(s):  
Laura S Shields ◽  
Soumitra Pathare ◽  
Selina DM van Zelst ◽  
Sophie Dijkkamp ◽  
Lakshmi Narasimhan ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Emanuele Giorgi ◽  
Peter M. Macharia ◽  
Jack Woodmansey ◽  
Robert W. Snow ◽  
Barry Rowlingson

Abstract Background Model-based geostatistical (MBG) methods have been extensively used to map malaria risk using community survey data in low-resource settings where disease registries are incomplete or non-existent. However, the wider adoption of MBG methods by national control programmes to inform health policy decisions is hindered by the lack of advanced statistical expertise and suitable computational equipment. Here, Maplaria, an interactive, user-friendly web-application that allows users to upload their own malaria prevalence data and carry out geostatistical prediction of annual malaria prevalence at any desired spatial scale, is introduced. Methods In the design of the Maplaria web application, two main criteria were considered: the application should be able to classify subnational divisions into the most likely endemicity levels; the web application should allow only minimal input from the user in the set-up of the geostatistical inference process. To achieve this, the process of fitting and validating the geostatistical models is carried out by statistical experts using publicly available malaria survey data from the Harvard database. The stage of geostatistical prediction is entirely user-driven and allows the user to upload malaria data, as well as vector data that define the administrative boundaries for the generation of spatially aggregated inferences. Results The process of data uploading and processing is split into a series of steps spread across screens through the progressive disclosure technique that prevents the user being immediately overwhelmed by the length of the form. Each of these is illustrated using a data set from the Malaria Indicator carried out in Tanzania in 2017 as an example. Conclusions Maplaria application provides a user-friendly solution to the problem making geostatistical methods more accessible to users that have not undertaken formal training in statistics. The application is a useful tool that can be used to foster ownership, among policy makers, of disease risk maps and promote better use of data for decision-making in low resource settings.


2016 ◽  
Vol 03 (02) ◽  
pp. 079-083
Author(s):  
Lawrence Mbuagbaw ◽  
Francisca Monebenimp ◽  
Bolaji Obadeyi ◽  
Grace Bissohong ◽  
Marie-Thérèse Obama ◽  
...  

2020 ◽  
Author(s):  
Afework Kassu ◽  
Getnet Yimer ◽  
Solomon Benor ◽  
Kassahun Tesfaye ◽  
Yifokre Tefera ◽  
...  

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