Avijit Roy

Mr. Avijit Roy


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 September 2020 in The European Journal of Contraception & Reproductive Health Care
Verified
Journal Article
Closed access
ARAvijit Roy
Avijit Roy
Pintu PaulPintu Paul
Pintu Paul
JAY SAHAJAY SAHA
JAY SAHA
BBBikash Barman
Bikash Barman
NKNanigopal Kapasia
Nanigopal Kapasia
Pradip ChouhanPradip Chouhan
Pradip Chouhan
This paper aims to investigate the prevalence by geographical locations and socio-demographic correlates of menstrual hygienic practices among young currently married Indian women. The study is bas...

21 September 2021 in BMC Public Health
Verified
Journal Article
Open access
PDF file
ARAvijit Roy
Avijit Roy
Pintu PaulPintu Paul
Pintu Paul
Pradip ChouhanPradip Chouhan
Pradip Chouhan
Margubur RahamanMargubur Rahaman
Margubur Rahaman
NKNanigopal Kapasia
Nanigopal Kapasia
Background: Caesarean section delivery is a major life-saving obstetric surgical intervention for mothers and babies from pregnancy and childbirth related complications. This paper attempts to investigate the geographical variations and correlating factors of caesarean section delivery in India, particularly focusing on the states of Bihar and Tamil Nadu, accounting for one of the lowest and highest prevalence states of caesarean section delivery respectively. Methods: This study is based on secondary data, collected from the fourth round of the National Family Health Survey (NFHS-4), 2015–16. We utilized 190,898 women aged 15–49 years who had a living child during the past 5 years preceding the survey. In this study, caesarean section delivery was the outcome variable. A variety of demographic, socio-economic, and pregnancy- and delivery-related variables were considered as explanatory variables. Descriptive statistics, bivariate percentage distribution, Pearson’s Chi-square test, and multivariate binary logistic regression models were employed to draw the inferences from data. Results: Of participants, about 19% of women had undergone caesarean section delivery in the country. The state-wise distribution shows that Telangana (60%) followed by Andhra Pradesh (42%) and Tamil Nadu (36%) represented the topmost states in caesarean delivery, while Bihar (7%), Madhya Pradesh (10%), and Jharkhand (11%) placed at the bottom end. Multivariate logistic models show that the likelihood of caesarean delivery was higher among older women (35–49 years), women with higher levels of education, Muslims, women belonging to the upper quintiles of the household wealth, and those who received antenatal care (ANC), experienced pregnancy loss and delivery complications. Moreover, the odds of caesarean section delivery were remarkably greater for the private health sector than the public health sector in both focused states: Bihar (odds ratio [OR] = 12.84; 95% confidence interval [CI]: 10.90, 15.13) and Tamil Nadu (OR = 2.90; 95% CI: 2.54, 3.31). Conclusion: Findings of this study suggest that improvement in female education, providing economic incentives, and spreading awareness through mass media could raise the caesarean section delivery among women whose vaginal delivery could be unsafe for them as well as for their babies. Moreover, providing adequate ANC and well-equipped public healthcare services would facilitate caesarean delivery among needy women.

5 August 2022 in BMC Public Health
Verified
Journal Article
Open access
PDF file
Margubur RahamanMargubur Rahaman
Margubur Rahaman
PDPuja Das
Puja Das
Pradip ChouhanPradip Chouhan
Pradip Chouhan
KDKailash Chandra Das
Kailash Chandra Das
ARAvijit Roy
Avijit Roy
NKNanigopal Kapasia
Nanigopal Kapasia
Background: The prevalence of unsafe abortions significantly varies with geography; therefore, more research is needed to understand the rural-urban differences in unsafe abortion practices in India. The present study aims to explore the rural-urban differences in predisposing, enabling, and need factors of unsafe abortion in India. Methods: The present study used the fourth round of the National Family Health Survey (2015–16) and included the women aged 15–49 who terminated pregnancies by induced abortion during the 5 years prior to the survey (N = 9113) as the study sample. Descriptive statistics, bivariate chi-square significance test and multivariate logistic regression model were used to accomplish the study objectives. Results: The findings revealed that almost one-third of pregnancies were terminated through unsafe measures with sharp rural-urban contrast. The likelihood of unsafe abortions increases with decreasing women’s age and spousal level of education. Younger women in urban settings were more vulnerable to unsafe abortion practices. In rural settings, women with an uneducated spouse are more likely to have unsafe abortions (OR: 1.92). Poor households were more likely to undergo unsafe abortions, which were more common in rural settings (OR: 1.26). The unmet need for family planning was revealed to be a significant need factor for unsafe abortion, particularly in rural settings. Conclusion: Although abortion is legal, India’s high estimated frequency of unsafe abortions reveals a serious public health issue. Due to socio-economic vulnerability, unmet family planning needs, and a lack of awareness, significant numbers of women still practice unsafe abortions in India.


9 December 2022 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
Margubur RahamanMargubur Rahaman
Margubur Rahaman
Pradip ChouhanPradip Chouhan
Pradip Chouhan
ARAvijit Roy
Avijit Roy
Md Juel RanaMd Juel Rana
Md Juel Rana
KDKailash Chandra Das
Kailash Chandra Das
Background: In India, the demand for outpatient care is substantially higher than inpatient care among older adults. Therefore, the current study examines the level, patterns, and factors associated with outpatient care use.Methods: The present research used data from the first wave of the Longitudinal Ageing Study in India (LASI, 2017–18). A total of 34,588 older adults (45 years and above) who accessed outpatient healthcare services in one year prior to the survey were included in this study. A bivariate chi-square test was applied to present the percentage distribution of types of outpatient healthcare utilization by background characteristics and healthcare responsiveness. Multinomial logistic regression analyses were employed to explore the interplay of outpatient healthcare utilization and allied predisposing, enabling, and need factors.Results: About 63.7% of total older adults used a private facility, followed by 22.8% used a public facility, and 13.5% used other facilities. Years of schooling, household wealth status, place of residence, self-rated health, and health insurance were all found to be significant determinants of public or private facility use. In contrast, respondents' sex was found to be a significant determinant of private healthcare use only. The study finds that there was inadequate healthcare reaction to public health facilities.Conclusion: The current study revealed that the use of private facility for outpatient care is noticeably high in India. Older adults' educational attainments, health insurance coverage, and household level economic background were found to be significant factors in healthcare choice. The current study emphasizes the need to strengthen public healthcare services for outpatient care.

1 September 2021 in The Indian Journal of Labour Economics
Verified
Journal Article
Open access
PDF file
Margubur RahamanMargubur Rahaman
Margubur Rahaman
ARAvijit Roy
Avijit Roy
Pradip ChouhanPradip Chouhan
Pradip Chouhan
KDKailash Chandra Das
Kailash Chandra Das
Md Juel RanaMd Juel Rana
Md Juel Rana
The lockdown during the first phase of COVID-19 pandemic in India triggered an unprecedented humanitarian crisis. Labourers in the informal sector lost their jobs overnight and were stuck at their work places. The present study examines the risk of COVID-19 transmission among stranded migrant labourers and their livelihood challenges during the lockdown. A telephonic survey was conducted during the lockdown of first wave of COVID-19 pandemic to collect information from the stranded migrant labourers. The non-probability snowball sampling technique and structured questionnaire were used to draw the sample. Simple frequency distribution and standard statistical methods were used to accomplish the study objectives. The factors of COVID-19 transmission such as poor housing, co-morbidities, poor practice of WASH and COVID-19 precautions were significantly high among the migrant labourers. The lockdown created livelihood crisis among them. For instance, ration shortage (86%), financial distress (82%), reduction of wages (13%), job loss (86%) and anxiety for COVID-19 infection (81%) were often seen. Many of the labourers did not receive any ration kits (30%) and financial assistance (86%) during lockdown. The governmental assistance to overcome the stranded migrant labourers’ challenges during lockdown was less than desirable. India needs to frame a sustainable and effective policy for social security for labourers, particularly in emergency situations.