Background: There is inadequate evidence about the influence of digital and cash payment modalities on the performance of Community Health Workers (CHWs) in underserved communities, such as refugee settlements.
Objective: To compare the performance of CHWs when paid in cash or digitally in Kyaka II refugee settlement, Uganda.
Methods: A comparative cross-sectional mixed methods design was used. Secondary data comprising 247 CHW reports during a six-month period of cash and digital payments were analyzed using Stata v14. Eleven focus group discussions, four in-depth interviews, and ten key informant interviews were conducted among the settlement stakeholders to explore perceptions of the payment methods. Qualitative data were analyzed thematically using Atlas.ti v9.
Results: CHWs performed better when paid cash than digital payments ( = 5.28; df = 246; < 0.001). During the cash payment period, at least secondary education (APR 1.71 CI: 1.14-2.58) and having a side occupation (APR 1.58; CI: 1.13-2.21) were positively associated with performance. For digital payments, being male (APR 0.58; CI: 0.34-0.98), serving longer than 9 years (APR 0.87; CI: 0.82-0.93), and being allocated more than 60 households per month (APR 0.31; CI: 0.19-0.52) were negatively associated with CHW performance. Qualitative data revealed that most stakeholders preferred cash due to inconsistent and delayed digital payments.
Conclusion: CHWs preferred and performed better with cash payments because digital payments were associated with delays and payment shortfalls that demotivated them. Implementers should invest towards averting digital payment shortfalls in remote settings to enhance CHW motivation and performance.
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http://dx.doi.org/10.1080/16549716.2024.2375867 | DOI Listing |
Front Plant Sci
January 2025
Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of Korea.
Smart farming is a hot research area for experts globally to fulfill the soaring demand for food. Automated approaches, based on convolutional neural networks (CNN), for crop disease identification, weed classification, and monitoring have substantially helped increase crop yields. Plant diseases and pests are posing a significant danger to the health of plants, thus causing a reduction in crop production.
View Article and Find Full Text PDFPesticide use in Bangladesh is disproportionately high in vegetable farming compared to other crops like cereals, pulses, and cash crops. This study delves into the knowledge, attitudes, and practices regarding pesticide use among vegetable farmers, focusing on the impact of a digital aggregation service implemented by Digital Green. Based on interviews with 120 vegetable farmers in the LOOP aggregation scheme and 120 non-LOOP vegetable farmers this study indicates that the farmers using the aggregation service have a moderately higher level of food safety knowledge.
View Article and Find Full Text PDFBehav Sci (Basel)
November 2024
School of Communication, Soochow University, Suzhou 215031, China.
Rapidly changing digital technologies are reconfiguring the way human society lives, indicating that more and more middle-aged and older adults will lead a digital life in the future. Whether digital technology for today can effectively improve the quality of digital life of this cohort is the focus of this study. This study proposed a "cognitive-emotional-behavioral" model and situated the use of the Extreme Edition App as a cross-sectional research object.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Applied Economics, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
Improving China's grain production level is conducive to achieving the sustainable development goal of zero hunger worldwide by 2030. As an important innovation in sales channels, e-commerce of agricultural products (EAP) directly affects grain production. However, no study has directly discussed the impact and mechanism of EAP on nongrain production of cultivated land (NGPL).
View Article and Find Full Text PDFWorld Allergy Organ J
December 2024
School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
Background: Contemporary airborne pollen records underpin environmental health warnings, yet how pollen monitoring networks are sustained is poorly understood. This study investigated by whom and how pollen monitoring sites across the globe are managed and funded.
Methods: Coordinators listed in the Worldwide Map of Pollen Monitoring Stations were invited to complete a digital questionnaire designed to survey the people and organisations involved, types, and duration of funding sources, as well as uses, purpose, and sharing of pollen information.
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