Community-Based Monitoring (CBM) is a participatory process in which citizens gather evidence on services to hold governments accountable to their commitments. Research on CBM for health in developing countries has mostly measured its impact on service performance. Overall, these studies have produced mixed evidence of CBM's effectiveness. This has led some authors to question the role of civic engagement, especially in communities where expectations from public services and power to demand for change are low. This conclusion, we argue, overlooks the role of the CBM process in fostering both participation and social change. Drawing from qualitative research with the Indian grassroots women's organisation Mahila Swasthya Adhikar Manch, we argue that CBM can foster political capabilities through mediating communities' relationships with the state as well as relationships within communities. The engagement of women and their power to demand for change in the health sector and beyond emerges at the intersection of these two spheres. This suggests that measuring the impact of CBM on health services is not sufficient. Expanding the focus of research on CBM to its process is necessary to fully understand the role of civic engagement and to restore its political relevance.
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http://dx.doi.org/10.1080/17441692.2018.1464586 | DOI Listing |
J Environ Manage
January 2025
Chongqing Environmental Consulting Co., Ltd., CISDI Group Co., Ltd., Chongqing, China. Electronic address:
To deal with the increasingly severe climate crisis and environmental pollution, China launched a nationwide real-time air quality monitoring program in three batches, a milestone moment in its environmental governance history. Using the time-varying difference-in-differences model, this study explores the synergies of this program across 284 cities from 2009 to 2019. The findings are as follows: (1) With environmental information disclosed, the national air quality monitoring program can reduce the outdoor fine particulate matter concentration by an overall effect of 3.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Advanced Care Research Centre (ACRC), University of Edinburgh, Edinburgh, UK.
Background: There is growing interest in developing sensing solutions for remote health monitoring to support the safety and independence of older adults. To ensure these technologies are practical and relevant, people-centred design is essential. This study aims to explore the involvement of various stakeholders across different developmental stages to inform the design and assess the capabilities of unobtrusive sensing solutions being developed as part of the Advanced Care Research Centre (ACRC), Edinburgh, UK.
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January 2025
Alma Sistemi Srl, Rome, Italy.
This study explores the evolving role of social media in the spread of misinformation during the Ukraine-Russia conflict, with a focus on how artificial intelligence (AI) contributes to the creation of deceptive war imagery. Specifically, the research examines the relationship between color patterns (LUTs) in war-related visuals and their perceived authenticity, highlighting the economic, political, and social ramifications of such manipulative practices. AI technologies have significantly advanced the production of highly convincing, yet artificial, war imagery, blurring the line between fact and fiction.
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November 2024
Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: The pharmaceutical supply chain (PSC) faced numerous challenges, particularly during the COVID-19 crisis. Due to the supply chain (SC) 's vulnerabilities, it requires enhanced capabilities to address these challenges. In Iran, specific economic and political issues have intensified the vulnerabilities of the PSC.
View Article and Find Full Text PDFHealth Res Policy Syst
January 2025
Centre for Epidemic Interventions Research, Norwegian Institute of Public Health, Oslo, Norway.
During public health crises such as pandemics, governments must rapidly adopt and implement wide-reaching policies and programs ("public policy interventions"). A key takeaway from the coronavirus disease 2019 (COVID-19) pandemic was that although numerous randomized controlled trials (RCTs) focussed on drugs and vaccines, few policy experiments were conducted to evaluate effects of public policy interventions across various sectors on viral transmission and other consequences. Moreover, many quasi-experimental studies were of spurious quality, thus proving unhelpful for informing public policy.
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