Effects of health insurance on birth weight in Mexico

Kumar, Santosh; González, Fidel

doi:10.1002/hec.3662

Cited by 6 publications

(7 citation statements)

References 26 publications

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“…Higher utilization and quality of ANC services, higher maternal literacy rates correlating with improved awareness, lower parity, and the varied sociocultural phenomenon could be attributed to this phenomenon [ 25 ]. Furthermore, in this study, having no health insurance increased the likelihood of having an LBW newborn, a finding akin to that in a study in Mexico although most health insurance in India does not cover outpatient expenses while regardless of insurance status, all government facilities are obliged to provide universal free-of-cost antenatal services to all beneficiaries [ 26 ].…”

Section: Discussionmentioning

confidence: 65%

“…First, a birth-weight estimation was based on the mother's recall which is subject to bias and was not validated with the written record in nearly 39% of cases which increases the likelihood of underestimation of LBW burden due to rounding off errors in the birth weight. Second, important high-burden risk factors of LBW such as preterm birth, water, sanitation, and hygiene conditions [ 29 ], and the extent of social support provided to the mother [ 26 ] were not adequately captured in this study. Furthermore, information on the administration of prophylactic antimalarial medicines (IPTp) and the frequency and timing of the medical tests conducted were not available in the dataset.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Prevalence and Determinants of Low Birth Weight in India: Findings From a Nationally Representative Cross-Sectional Survey (2019-21)

Girotra¹,

Mohan²,

Malik³

et al. 2023

Cureus

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Introduction: Low birth weight (LBW) is an important public health indicator extensively linked to infant and child mortality, especially in lower-middle-income countries (LMICs). Globally, 15.5% of all infants are born with LBW while 95% of these occur in LMICs. This study aims to examine the prevalence and determinants of LBW in India.Methods: Data were obtained from the fifth National Family Health Survey (NFHS) round conducted during 2019-2021. The study sample included women aged 15-49 years who had a singleton pregnancy in the five years preceding the survey (N=175,240). A bivariate analysis was carried out and a logistic regression model was fitted to assess the maternal determinants affecting the birth weight among newborns.Results: A total of 175,240 mothers were included in the present study. The proportion of newborns with LBW was 17.29% (n=26366, 95% confidence interval [CI] 17.01, 17.57), of which 6% (n=1450, 95% CI 5.61, 6.41) had very low birth weight (less than 1500 g). An increase in the education level of women or wealth index also resulted in significantly reduced odds of LBW in the newborn. However, the number of antenatal care (ANC) visits lacked any statistically significant association with the odds of having a newborn with LBW.Conclusions: The burden of LBW in India in recent years has remained stable despite impressive economic growth and increased public health spending on food security and nutritional supplementation. Strengthening the quality of ANC services for pregnant women with a focus on sensitization and awareness generation for improving maternal nutrition requires high prioritization.

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Section: Discussionmentioning

confidence: 65%

Section: Discussionmentioning

confidence: 99%

Prevalence and Determinants of Low Birth Weight in India: Findings From a Nationally Representative Cross-Sectional Survey (2019-21)

Girotra¹,

Mohan²,

Malik³

et al. 2023

Cureus

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“…Terdapat beberapa faktor penyebab BBLR diantara faktor ibu, janin, ayah dan plasenta, lingkungan (Cuningham et al, 2014) dan asuransi (Kumar & Gonzalez, 2018).…”

Section: Pendahuluanunclassified

“…Penelitian ini sejalan dengan penelitian Hartati (2018) Akses masyarakat terhadap jaminan kesehatan/ asuransi dapat memudahkan ibu untuk perawatan antenatal dini dimana ibu yang memiliki asuransi kesehatan 7,5% lebih rendah untuk melahirkan BBLR dibandingkan yang tidak memiliki asuransi dan memiliki berat lahir bayi 108 gram lebih berat dibandingkan bayi yang tidak diasuransikan (Kumar & Gonzalez, 2018).…”

Section: Plastic Wrapunclassified

Maternal Characterisctics of Low Birth Weight With Kangaroo Mother Care and Plastic Wrap

Mufidah¹,

Husada

Yunitasari

et al. 2021

IMHSJ

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Background: Most Infant mortality due to low weight birth (42%). The babies need care to reduce mortality/morbidity such us Kangaroo methode and Plastic Wrap. Both of these methods aim to prevent hypothermia. This research to describes implementation of the Kangaroo Method and Plastic Wrap including input (mother, father and baby), process (staff and duration of care) and outcomes (hypothermia and Lenght of Stay). Method: Descriptive-Cross Sectional with number of sample of low birth weight are 96 (Kangaroo) and 98 babies (Plastic Wrap). The variables research are maternal age, parity, education, risk factor, complications and National health insurance’s participant. The instrument used medical records. Data analysis with frequency distribution. Result: Maternal age majority in Kangaroo Method and Plastic Wrap 20-35 years old (77,08% and 70,41%), multiparity (57,30% and 60,2%), Middle education (43,75% and 60,20%),high risk (71,87% and 55,10%), Preeclampsia (33,33% and 43,88%), Health Insuranse’s participant (79,17% and 63,27). Conclusion: data shows input, process and output of KMC and Plastic Wrap.

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“…Mother's insurance coverage may have positive impacts on neonatal outcomes. Kumar and Gonzalez (2018), using Mexico hospital-based administrative data, find that children born to insured mothers weigh 108 g higher and have reduced probability of low birth weight by 7.5% points.…”

Section: Scope Of Consumer Financementioning

confidence: 99%

Consumer finance/household finance: the definition and scope

Xiao

Tao

2020

CFRI

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PurposeThe purpose of this literature review paper is to define consumer finance, describe the scope of consumer finance and discuss its future research directions.Design/methodology/approachIn this paper, consumer finance is used as a synonym of household finance. Consumers refer to individuals and families. After defining the term “consumer finance,” we conducted a critical review of consumer finance as an interdisciplinary research field in terms of money managing, insuring, borrowing and saving/investing. Future research directions are also discussed.FindingsThis paper discusses similarities and differences among several terms such as consumer finance, household finance, personal finance, family finance and behavioral finance. The paper also reviewed key studies on consumer financial behavior around four key financial functions, namely, money management, insurance, loan and saving/investment and several nontraditional topics such as fintech and financial capability/literacy. The paper also introduced several datasets of consumer finance commonly used in the United States and China.Originality/valueThis paper clarified several similar terms related to consumer finance and sorted out the diverse literature of consumer finance in multiple disciplines such as economics, finance and consumer science, which provide a foundation for generating more fruitful research in consumer finance in the future.

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Effects of health insurance on birth weight in Mexico

Cited by 6 publications

References 26 publications

Prevalence and Determinants of Low Birth Weight in India: Findings From a Nationally Representative Cross-Sectional Survey (2019-21)

Prevalence and Determinants of Low Birth Weight in India: Findings From a Nationally Representative Cross-Sectional Survey (2019-21)

Maternal Characterisctics of Low Birth Weight With Kangaroo Mother Care and Plastic Wrap

Consumer finance/household finance: the definition and scope

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