Showing 41 - 60 results of 146 for search '"time series analysis"', query time: 0.11s Refine Results
  1. 41

    Impact of Mobile Health (mHealth) Use by Community Health Workers on the Utilization of Maternity Care in Rural Malawi: A Time Series Analysis by Kachimanga C, Ng’ambi WF, Kazinga D, Ndarama E, Amulele MA, Munyaneza F, Abejirinde IOO, van den Akker T, Kulinkina AV

    Published 2025-01-01
    “…This study evaluates the impact of this app on the uptake of antenatal care (ANC), facility-based births, and postnatal care (PNC), compared to a reference period where CHWs provided the same services without mHealth, using the interrupted time series analysis.Patients and Methods: Using aggregated monthly data and segmented quasi-Poisson regression models, we compared the effects of mHealth on selected maternal health outcomes. …”
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    Improving Air Quality and Childhood Respiratory Health in Mongolia: The Impact of the Raw Coal Ban and COVID-19 Restrictions—An Interrupted Time-Series Analysis by Emma Dickinson-Craig, Terkhen Turbat, Karla Hemming, Francis D. Pope, Suzanne E. Bartington, Suvdaa Anjaa, Sumiya Davaa, Rosie Day, Damdindorj Boldbaatar, Chimedsuren Ochir, David Warburton, Graham Neil Thomas, Jargalsaikhan Badarch, Semira Manaseki-Holland

    Published 2025-01-01
    “…Methods: An interrupted time-series analysis was conducted on air quality (PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, CO) and child (<5 y) severe acute respiratory disease, adjusting for coinciding co-events (COVID-19) where necessary. …”
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    Impact of hospital formulary intervention on carbapenem use: a segmented time-series analysis of consumption and a propensity score-matched non-inferiority study of treatment efficacy by Nakaba Okamura, Ayano Katagiri, Tomoya Komori, Kei Kawanabe, Hirofumi Koike, Yukiko Sahashi, Rie Kubota

    Published 2025-01-01
    “…Methods We conducted a segmented time-series analysis to evaluate changes in carbapenem usage, including doripenem, before and after formulary implementation in October 2018. …”
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  13. 53

    New job, new habits? A multilevel interrupted time series analysis of changes in diet, physical activity and sleep among young adults starting work for the first time by Alena F. Oxenham, Tanya Braune, Esther van Sluijs, Hannah Fairbrother, Adam Martin, Eleanor M. Winpenny

    Published 2025-01-01
    “…In line with interrupted time series analysis, models assessed behavioural trends in the period before starting work, the immediate effect of starting work, and changes in behaviour over time after employment. …”
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