Explaining geospatial variation in mobile phone ownership among rural women of Bangladesh: A multi-level and multidimensional approach

Rahman, Md Mahabubur; Ara, Tasnim; Chakma, Rio

doi:10.1016/j.telpol.2021.102289

Cited by 2 publications

(2 citation statements)

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“…An earlier study used BMICS 2019 data to explore the influence of district-level readiness on women’s mobile phone ownership in the context of rural Bangladesh. 33 That study used mixed-effect logistic regression model considering random intercept at the district level. It provided relative measures for district-level preparedness that enabled comparing the districts’ preparedness, but did not allow for concluding the absolute preparedness of the districts.…”

Section: Methodsmentioning

confidence: 99%

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Rural–urban differentials in the influences of individual and geospatial preparedness on institutional childbirth: a cross-sectional study in Bangladesh

Rahman

Ara²,

Aninda

et al. 2022

BMJ Open

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ObjectiveThis study aims to explore the rural–urban differentials in the influences of individual and geospatial preparedness on institutional childbirth in Bangladesh. A related aim of this paper is to derive estimates to measure geospatial preparedness for institutional births, through statistical modelling, when no data are available for measuring this areal indicator.Design, settings and participantsThe paper used data from a large-scale nationally representative Bangladesh Multiple Indicator Cluster Survey 2019. The analytical sample included 9203 currently married women of reproductive age who had a live birth in the 2 years preceding the survey.MethodsMixed effect logistic regression models were employed to explore the rural–urban differentials in influences of individual and geospatial preparedness on institutional childbirth. The district-level random effect estimation was done to measure geospatial preparedness. The conditional autoregressive model was used to examine the association of geospatial preparedness with areal variation in institutional births.ResultsIn rural settings, women who gave birth to a female newborn were 18% less likely to have facility births compared with women who gave birth to a male newborn. Also, women from households in the highest wealth quintile were twice as likely to have facility births compared with those from households in the poorest wealth quintile. In contrast, in urban areas, facility births did not vary by sex of the fetus or by households’ socioeconomic status. The geospatial preparedness explained 8% and 9% of the variability in institutional births in rural and urban areas, respectively. Geospatial mapping revealed low preparedness in the hill tracts. Findings identified geospatial preparedness as a potential source of areal variation in facility births.ConclusionFindings suggest improving district-level preparedness and developing differential programme strategies for urban and rural areas to increase the national prevalence and more equitable use of institutional childbirth in Bangladesh.

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Section: Methodsmentioning

confidence: 99%

“…An earlier study used BMICS 2019 data to explore the influence of district-level readiness on women’s mobile phone ownership in the context of rural Bangladesh 33. That study used mixed-effect logistic regression model considering random intercept at the district level.…”

Section: Methodsmentioning

confidence: 99%