A party entitled to receive the record as a result of a court order, or an attorney or a licensed adoption agency seeking the birth record. An attorney representing the certificate holder or the certificate holder's estate, or any person or agency empowered by statute or appointed by a court to act on behalf of the certificate holder or the certificate holder's estate. This document is primarily used for genealogy and cannot be used for identification purposes. An authorized, certified birth certificate copy that can typically be used for travel, passport, proof of citizenship, social security, driver's license, school registration, personal identification and other legal purposes.
Birth Certificates are available for events that occurred in Los Angeles County from to present. Records are not available until 90 days after the date of event. Secure ordering processes that are designed to help protect your identity online. VitalChek offers the convenience of ordering Los Angeles County CA birth certificates for yourself or your family from the privacy of your home or office, hours a day, 7 days a week, with no hidden fees or unexplained charges.
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Looking for a certified Los Angeles County birth certificate? Informational Copies - No documentation is required. Birth Authorized Copy An authorized, certified birth certificate copy that can typically be used for travel, passport, proof of citizenship, social security, driver's license, school registration, personal identification and other legal purposes. Birth Certificate Order Methods. We want parents and baby to begin life as a new family as soon as possible after delivery. That is why we keep you and your baby together in the same room throughout your hospital stay and assign one nurse to care for you both.
To make sure your family stays healthy, we offer important health screenings and vaccines to babies and their mothers. If you cannot have bonding time with your baby immediately after birth for medical reasons, you can start your Golden Hour whenever you and your baby are ready. Nesting Time occurs from pm to pm and am to am daily or whenever you want some alone time with your infant. We encourage you to enjoy skin-to-skin bonding time with your baby during these special hours.
The nursery will be closed during Nesting Time hours unless there is a specific need for the nurse to be there. When their skin touches, mother and child are flooded with brain chemicals that promote a feeling of well-being. Research indicates that newborns who have skin-to-skin contact with their mothers cry less, sleep more and are less irritable than babies who are swaddled. Skin contact not only soothes babies and helps regulate their heartbeat and breath, but also helps mothers by reducing stress and stimulating milk production.
Your blood pressure will be monitored throughout your delivery. Once you have delivered, you may receive a uterine massage to help control blood loss.
When you are ready, you will be moved to our Postpartum Unit, which features private rooms with showers. While some women may choose to bottle-feed instead, The BirthPlace strongly encourages new mothers to try breastfeeding. However, there were still 8. We found differences in the matched and unmatched groups in the rates of preeclampsia and diabetes and in socio-demographic parameters. But since the patterns of difference in the matched and the unmatched groups was consistent between the Memorial data and the birth certificate data, we do not expect it to change our main conclusion of the underreporting problem in the birth certificate data.
Since the Memorial data did not differentiate between gestational diabetes and diabetes when reporting pregnancy outcomes, it was not possible to investigate gestational diabetes specifically in this study. However, because the birth certificate data began reporting gestational diabetes separately starting in , we were able to perform two separate analyses on diabetes using — and — as periods of interest.
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Both periods showed the same patterns of underreporting of diabetes, and we thus suspect that our findings on total diabetes likely hold for gestational diabetes as well. This high degree of overlap between gestational diabetes and diabetes during pregnancy further suggests that the findings of this study regarding diabetes in general may also be applicable to cases of gestational diabetes in particular.
These results are consistent with previous studies, particularly those that determined that birth certificates are not reliable sources of information regarding preeclampsia, gestational diabetes, and other maternal complications and characteristics, particularly when compared to hospital discharge records [ 7 — 11 ]. Thus, our conclusion that the birth certificate database used in this study underreported the incidence of preeclampsia and gestational diabetes is supported by similar patterns found elsewhere in the United States.
However, to our knowledge this is the first study to assess the reliability of hospital data and birth certificates in southern California, and the first to address differential reporting of preeclampsia and diabetes during pregnancy by socioeconomic status in the United States. The socioeconomic differences seen in the underreporting of preeclampsia and gestational diabetes as specific outcomes of interest is a unique observation that has not been studied in southern California.
However, similar results have been found by studies that have analyzed related, though not identical, variables elsewhere in the United States. The authors of this study hypothesized that this observation might be explained by disparities in access to healthcare, as well as variations in personnel and birth certificate completion procedures across hospitals. Although our study did not analyze birth defects, the underreporting of adverse pregnancy outcomes we found according to racial and education level factors followed a similar pattern and can be explained by the same observations.
Further research must be performed to elucidate an explanation for the poor reliability of this particular set of birth certificate data for pregnancy complications, as well as the observed socioeconomic gradient in underreporting of such outcomes. Nevertheless, these findings have important implications for future public health research.
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Studies that rely solely on birth certificate data to draw conclusions regarding pregnancy complications should be aware of a potential bias towards underestimating the incidence of these conditions, particularly in low socioeconomic groups. This is critical for the descriptive study of socioeconomic disparities in pregnancy complications, and might contribute to explain why discrepant results were reported in the past [ 17 — 28 ], beside any true difference in disparities across study settings. Such biases are also critical for etiologic research studying the relationships between pregnancy complications and potential risk factors, especially when these are unevenly distributed according to socioeconomic status.
For instance, exposure to most air pollutants e. In such a situation, a higher underreporting of maternal complications in populations with lower socioeconomic status would create a downward bias while measuring the association between air pollution and pregnancy complications. Consequently, researchers should attempt to use high quality health outcome data such as the Memorial database, either in place of or in conjunction with birth certificate data, whenever possible in order to minimize bias.
Furthermore, these findings indicate that there is a considerable need to improve the quality of birth certificate data in California, as far as pregnancy complications are concerned. There is a possibility that the quality of birth certificate has improved since , the last year of this analysis. It would be beneficial to assess the quality of current birth certificate data in order to identify areas that still require improvement.
However, historical birth certificate data are still of high importance for research studies that examine the impact of in-utero exposure on various long-term health effects e. Standardizing data collection and reporting procedures across hospitals would help minimize the discrepancies seen between birth certificate data and hospital databases such as the Memorial database. Because diabetes and preeclampsia are conditions that are oftentimes diagnosed prior to delivery and not at the hospital of delivery, there is also a need to improve the integration of prior medical records from other sources with hospital and birth certificate records.
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What is more, the fact that the birth certificate data underreported both preeclampsia and diabetes and did so to a higher degree among groups of lower socioeconomic status suggests that it would be most effective to focus standardization efforts on these particular conditions and among these identified groups, including Black and Hispanic women, women with lower levels of education, and women with public insurance.
Finally, the most disadvantaged women may not have access to health care; thus improving health care access for low-income and minority people may also improve the reporting of pregnancy complications. In summary, this comparison of two birth record databases found that the Memorial database is a more reliable source of information than birth certificate data for analyzing the incidence of preeclampsia and gestational diabetes among women in Los Angeles County.
This is especially true for subpopulations of lower socioeconomic status. Efforts to improve the available sources of data for the study of adverse pregnancy outcomes should thus focus on improving the reliability of birth certificate data, particularly for women of lower socioeconomic status. However, informed consent from study participants was not required because the nature of the study was analysis of existing data, which posed minimal risk to the subjects. In addition, it was not practically feasible to contact all the subjects. The authors thank the staff at the MemorialCare Health System and the California Department of Health for their help in retrieving the birth record data.
Competing interests. JW conceived the study, designed the methods, conducted part of the analyses in the first draft and most of the analyses in the revision.
NH helped with the analyses and drafted the manuscript. MH and OL contributed to methods and data analysis.
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JC retrieved hospital-based birth record data. PN helped with literature review. All authors contributed to the interpretation of data and edited various sections of the manuscript. All authors read and approved the final manuscript. National Center for Biotechnology Information , U. BMC Pregnancy Childbirth. Published online Apr Author information Article notes Copyright and License information Disclaimer.
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Jun Wu, Phone: , Fax: , Email: ude. Corresponding author. Received Sep 30; Accepted Apr This article has been cited by other articles in PMC. Associated Data Data Availability Statement The birth record data used in this study will not be shared because they contained confidential information including the name of the mother and the date of birth of both the mother and the infant. Abstract Background The incidence of both gestational diabetes mellitus and preeclampsia is on the rise; however, these pregnancy complications may not be systematically reported.
Methods We obtained over 70, birth records from to from the perinatal research database of the Memorial Care system, a network of four hospitals in Los Angeles and Orange Counties, California. Results It was found that the birth certificate data significantly underreported the incidence of both preeclampsia 1.
Conclusion The Memorial Care database is a more reliable source of information than birth certificate data for analyzing the incidence of preeclampsia and diabetes among women in Los Angeles and Orange Counties, especially for subpopulations of lower socioeconomic status. Background Adverse pregnancy outcomes such as gestational diabetes mellitus and preeclampsia have important consequences on the growth, development, and health of children and mothers alike.
Methods Birth record data Birth record data from the period of to were obtained from the Memorial Care System, a network of four hospitals that maintains a perinatal database for research purposes [ 29 ]. Data analysis We summarized the basic socio-demographic variables in both the Memorial and the birth certificate data and in the matched and the unmatched groups for each dataset.
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Results Characteristics of study population After removing multiple births e. Table 1 Matching rates based on different matching criteria. Number Percentage based on Memorial Care data Percentage based on birth certificate data Matched records Exact match on four variables Exact Exact Exact Exact Exact match on three variables Exact Exact Partial a Exact 3.
Exact match on three variables Exact Exact Exact Partial b 0. Exact match on two variables Exact Exact Partial a Partial b 0. Open in a separate window. Preeclampsia: — It was found that the birth certificate data significantly underreported the incidence of preeclampsia when compared to the Memorial data 1. Percentage of preeclampsia by maternal education Of the mothers with known education level, the birth certificate data showed that the incidence of preeclampsia was significantly higher among mothers with education levels of college or higher compared with mothers with education levels of high school or lower 1.
Table 3 Incidence rate of preeclampsia — by socioeconomic indicators. High school or lower 0. Public 0. Percentage of preeclampsia by race Both the Memorial and birth certificate data indicated the highest rate of preeclampsia in Black women 4. Percentage of preeclampsia by insurance The Memorial data indicated a marginally significantly lower rate of preeclampsia in women with private insurance compared to those with public insurance 3.
Diabetes — Similar to preeclampsia, the birth certificate data significantly underreported the incidence of diabetes when compared to the Memorial data 1.
Percentage of diabetes by maternal education No significant patterns were observed in birth certificate data. Table 4 Incidence rate of diabetes — by socioeconomic indicators. Percentage of diabetes by race The birth certificate data found that the incidence of diabetes was highest among Asian women 2.
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