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  1. Bhattacharya S, Bhattacharya S, Vallabh V, Marzo RR, Juyal R, Gokdemir O
    Int J MCH AIDS, 2023;12(1):e588.
    PMID: 36683649 DOI: 10.21106/ijma.588
    "No man is an island unto himself" - John Donne According to the World Health Organization, health is "a state of complete physical, mental and social well-being and not merely the absence of disease and infirmity." Our healthcare industry, public behaviors, and environment have grown exponentially with digital technologies in the era of the 4th industrial revolution. Due to rapid digitalization and easy availability of the internet, we are now online round the clock on our digital devices, leaving behind digital traces/information. These digital footprints serve as an increasingly fruitful data source for social scientists, including those interested in demographic research. The collection and use of digital data (quantitative and qualitative) also present numerous statistical and computational opportunities, further motivating the development of new research approaches to address health issues. In this paper, we have described the concept of digital well-being and proposed how we can use digital information for good health.
  2. Inusah AW, Alhassan NA, Charadan AMS, Marzo RR, Ziblim SD
    Int J MCH AIDS, 2023;12(2):e639.
    PMID: 38312497 DOI: 10.21106/ijma.639
    BACKGROUND AND OBJECTIVES: Even though Ghana has recorded an appreciable level of facility delivery compared to other countries in sub-Saharan Africa, the country still has a lot of regional and community variations in facility delivery where professional maternal health care is guaranteed. This study assessed the main factors associated with facility delivery in the Sagnarigu Municipal Assembly of the Northern Region of Ghana.

    METHODS: Using a simple random sampling method, a retrospective community-based cross-sectional study was conducted from July 12, 2021 to October 17, 2021, among 306 postnatal women within 15 to 49 years who had delivered within the last six months. We conducted descriptive analyses, and the Pearson chi-square test of association between the sociodemographic factors and obstetrics history with the outcome variable, choice of place of birth. Lastly, significant variables in the chi-square test were entered into adjusted multivariate logistics regression to determine their association with the place of delivery. Data analysis was performed using the Statistical Package for Social Sciences version-25, with statistical significance set at a p-value of 0.05.

    RESULTS: The study reported a facility delivery rate of 82%, which is slightly higher than the national target (80%). We observed that age group [AOR 2.34 (1.07-5.14)], marital status [AOR 0.31 (0.12-0.81)], ethnicity [AOR 3.78 (1.18-12.13)], and couple's occupation [AOR 24.74 (2.51-243.91)] were the significant sociodemographic factors influencing facility delivery. The number of antenatal care (ANC) attendance [AOR 8.73 (3.41 - 22.2)] and previous pregnancy complications [AOR 2.4 (1.11 - 5.7)] were the significant obstetrics factors influencing facility delivery.

    CONCLUSION AND GLOBAL HEALTH IMPLICATIONS: We found that specific sociodemographic and obstetric factors significantly influence the choice of place of delivery in the study area. To address this, the study recommends targeted interventions that focus on providing support and resources for women from different age groups, marital statuses, ethnicities, and occupational backgrounds to access facility delivery services. Additionally, improving ANC attendance and effectively managing pregnancy complications were highlighted as important measures to encourage facility-based deliveries.

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