Nandita Bhan
Biographic Data
| ID | 2056785 |
|---|---|
| NAME | Nandita Bhan |
| GIVEN NAMES | Nandita |
| FAMILY NAME | Bhan |
| SIGNATURE | BHAN N |
| AFFILIATIONS | University of California San Diego |
| ORCID | 0009-0003-0383-4000 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 18 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Traditional or Modern Contraception? Association Between Health Worker Contact and Contraceptive Choice in India
Despite greater availability and affordability of modern contraception, the use of traditional contraception is rising in India. We examined the relationship between Indian women's contact with a community health worker (CHW) and discussion of family planning (FP) with their contraceptive use. We analyzed data from 306,037 nonpregnant, non‐sterilized married women in the 2019–2021 National Family Health Survey (NFHS). Multinomial regression model…
The Emerge framework to measure empowerment for health and development
The EMERGE Framework can guide development and analysis of survey measures on empowerment and is needed as the current state of the field shows limited coverage of empowerment constructs even in areas which have received more study, such as family planning
Validation of the Fertility Norms Scale and Association with Fertility Intention and Contraceptive Use in India
Social norms related to fertility may be driving pregnancy desire, timing and contraceptive use, but measurement has lagged. We validated a 10‐item injunctive Fertility Norms Scale (FNS) and examined its associations with family planning outcomes among 1021 women and 1020 men in India. FNS captured expectations around pronatalism, childbearing early in marriage and community pressure. We assessed reliability and construct validity through Cronbac…
Using machine learning to understand determinants of IUD use in India
Intra-uterine devices (IUDs) are a safe and effective method to delay or space pregnancies and are available for free or at low cost in the Indian public health system; yet, IUD uptake in India remains low. Limited quantitative research using national data has explored factors that may affect IUD use. Machine Learning (ML) techniques allow us to explore determinants of low prevalence behaviors in survey research, such as IUD use. We applied ML to…
Mapping the patchwork
Despite dramatic reductions in child marriage over the past decade, more than one in four girls in India still marry before reaching age 18. This practice is driven by a complex interplay of social and normative beliefs and values that are inadequately represented in national- or even state-level analyses of the drivers of child marriage. A geographic lens was employed to assess variations in child marriage prevalence across Indian districts, ide…
Disrupting gender norms in health systems
Time Trends in Racial and Ethnic Disparities in Asthma Prevalence in the United States From the Behavioral Risk Factor Surveillance System (BRFSS) Study (1999–2011)
Objectives. We examined whether racial/ethnic disparities in the United States increased over time. Methods. We analyzed data from 3 868 956 adults across the United States from the Behavioral Risk Factor Surveillance System from 1999 to 2011. We used random intercepts models (individuals nested in states) to examine racial/ethnic disparities and time trends in asthma lifetime and its current prevalence, adjusted for covariates. We also investiga…
The Emerge framework to measure empowerment for health and development
The EMERGE Framework can guide development and analysis of survey measures on empowerment and is needed as the current state of the field shows limited coverage of empowerment constructs even in areas which have received more study, such as family planning
Time Trends in Racial and Ethnic Disparities in Asthma Prevalence in the United States From the Behavioral Risk Factor Surveillance System (BRFSS) Study (1999–2011)
Objectives. We examined whether racial/ethnic disparities in the United States increased over time. Methods. We analyzed data from 3 868 956 adults across the United States from the Behavioral Risk Factor Surveillance System from 1999 to 2011. We used random intercepts models (individuals nested in states) to examine racial/ethnic disparities and time trends in asthma lifetime and its current prevalence, adjusted for covariates. We also investiga…
Validation of the Fertility Norms Scale and Association with Fertility Intention and Contraceptive Use in India
Social norms related to fertility may be driving pregnancy desire, timing and contraceptive use, but measurement has lagged. We validated a 10‐item injunctive Fertility Norms Scale (FNS) and examined its associations with family planning outcomes among 1021 women and 1020 men in India. FNS captured expectations around pronatalism, childbearing early in marriage and community pressure. We assessed reliability and construct validity through Cronbac…
Time Trends in Racial and Ethnic Disparities in Asthma Prevalence in the United States From the Behavioral Risk Factor Surveillance System (BRFSS) Study (1999–2011)
Objectives. We examined whether racial/ethnic disparities in the United States increased over time. Methods. We analyzed data from 3 868 956 adults across the United States from the Behavioral Risk Factor Surveillance System from 1999 to 2011. We used random intercepts models (individuals nested in states) to examine racial/ethnic disparities and time trends in asthma lifetime and its current prevalence, adjusted for covariates. We also investiga…
Disrupting gender norms in health systems
Mapping the patchwork
Despite dramatic reductions in child marriage over the past decade, more than one in four girls in India still marry before reaching age 18. This practice is driven by a complex interplay of social and normative beliefs and values that are inadequately represented in national- or even state-level analyses of the drivers of child marriage. A geographic lens was employed to assess variations in child marriage prevalence across Indian districts, ide…
Using machine learning to understand determinants of IUD use in India
Intra-uterine devices (IUDs) are a safe and effective method to delay or space pregnancies and are available for free or at low cost in the Indian public health system; yet, IUD uptake in India remains low. Limited quantitative research using national data has explored factors that may affect IUD use. Machine Learning (ML) techniques allow us to explore determinants of low prevalence behaviors in survey research, such as IUD use. We applied ML to…
Validation of the Fertility Norms Scale and Association with Fertility Intention and Contraceptive Use in India
Social norms related to fertility may be driving pregnancy desire, timing and contraceptive use, but measurement has lagged. We validated a 10‐item injunctive Fertility Norms Scale (FNS) and examined its associations with family planning outcomes among 1021 women and 1020 men in India. FNS captured expectations around pronatalism, childbearing early in marriage and community pressure. We assessed reliability and construct validity through Cronbac…
The Emerge framework to measure empowerment for health and development
The EMERGE Framework can guide development and analysis of survey measures on empowerment and is needed as the current state of the field shows limited coverage of empowerment constructs even in areas which have received more study, such as family planning
Traditional or Modern Contraception? Association Between Health Worker Contact and Contraceptive Choice in India
Despite greater availability and affordability of modern contraception, the use of traditional contraception is rising in India. We examined the relationship between Indian women's contact with a community health worker (CHW) and discussion of family planning (FP) with their contraceptive use. We analyzed data from 306,037 nonpregnant, non‐sterilized married women in the 2019–2021 National Family Health Survey (NFHS). Multinomial regression model…
Medicine (5 works) · Population (5 works) · Demography (4 works) · Environmental health (4 works) · Global Maternal and Child Health (4 works) · Sociology (4 works) · Demography (3 works) · Family planning (3 works) · Nursing (3 works) · Public health (3 works)