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Postnatal Care

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Most cited protocols related to «Postnatal Care»

Financial criteria alone do not qualify individuals for Medicaid; rather, individuals must also belong to an appropriate eligibility group to qualify, namely children under age 21, adults with dependent children, pregnant women, individuals with disabilities, and seniors [23] . We restricted the source population to females 12–55 years old who were enrolled in Medicaid for at least one month between 2000 and 2007 according to the PS file; thus we excluded the small proportion of individuals who were missing eligibility information although they had Medicaid claims [20] . We also excluded individuals whose Case Number was missing, zero or ended in 8 zeros.
To identify inpatient deliveries from the source population, we utilized the MAX delivery code variable, which is only available in the IP file and identifies hospitalizations with a delivery-related International Classification of Diseases, Ninth Revision (ICD-9) diagnosis code [24] . We also utilized delivery-related ICD-9 procedure codes from the IP file and Current Procedural Terminology, Fourth Edition (CPT-4) codes (Table S1 in File S1) from the OT file that had a service date during a hospitalization. The inpatient delivery date range was the window between the maternal admission and discharge dates associated with the delivery-related codes.
To identify outpatient (i.e., physician, clinic, or outpatient hospital) delivery-related claims, we utilized the delivery procedure codes from the OT file. A large proportion of the outpatient delivery-related procedures were for post-partum care, which could occur several days after delivery. We defined the outpatient delivery date range as the five days before and after the delivery-related procedure. If the date of an outpatient delivery-related procedure overlapped with an inpatient delivery date range for the same woman, then the outpatient delivery-related claim was removed.
A woman could have more than one delivery identified either because she had more than one pregnancy during the study period or because she had the same delivery identified more than once with unique delivery date ranges. Instead of selecting one delivery per woman during a certain time period [9] (link), [25] (link), we retained all deliveries to maximize the yield of the linkage step. Then we removed the duplicate deliveries after linkage. As a result, the linkage proportion that we report will be lower than algorithms that delete duplicate deliveries prior to linkage. We identified 13,460,273 deliveries from 7,104,231 women with valid Medicaid Case Numbers (Figure 1).
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Publication 2013
Adult Children Child Diagnosis Disabled Persons Eligibility Determination Females Hospitalization Inpatient Obstetric Delivery Outpatients Patient Discharge Physicians Postnatal Care Pregnancy Pregnant Women Woman
CPRD is a database of routinely collected, anonymised primary care health records for over 15 million patients, representing the UK population in age, sex, and ethnicity.18 CPRD comprises records of consultations, diagnoses and symptoms, prescriptions, tests, referrals to and feedback from secondary care, health‐related behaviours, and all additional care administered as part of routine general practice. In the United Kingdom, general practitioners (GPs) are the main point of contact for nonemergency health issues, including pregnancy. Thus, CPRD is a rich source of pregnancy data relating to antenatal and postnatal care and pregnancy outcomes. A practice‐specific family number enables mother‐infant pairs to be algorithmically linked (the CPRD Mother‐Baby link). Patients from 56% of CPRD GOLD practices can be linked to additional datasets, including Hospital Episode Statistics (HES), which comprises records of all patient care delivered by NHS hospitals in England, including maternity data. We used CPRD GOLD primary care data to generate the Pregnancy Register and linked HES data to validate it. The International Scientific Advisory Committee (ISAC)‐approved protocol for this study (ref 11_058) is provided in the Supporting information.
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Publication 2019
Age Groups Diagnosis Ethnicity General Practitioners Gold Infant Mothers Patients Postnatal Care Pregnancy Prescriptions Primary Health Care Secondary Care
We conducted a parallel-arm randomised trial comparing an integrated postnatal care service within the MCH setting for HIV+ mothers and their infants (the MCH-ART intervention) to the local standard of care (SOC, control)—immediate postnatal referral of HIV+ women on ART to general adult ART services and their infants to routine infant follow-up. The trial took place in a subdistrict of Cape Town as described previously [16 (link)]. Within the subdistrict, the study was based at a large, primary-level antenatal and obstetric facility located in a community of approximately 300,000 where levels of both poverty and HIV infection are high; referral was to one of a number of primary care services in the subdistrict [17 ]. The study was registered on ClinicalTrials.gov (NCT01933477); final registration was approved 3 months after the start of enrolment due to an administrative error. The study protocol is provided as S1 Text. The study protocol was approved by the Human Research Ethics Committee of the University of Cape Town Faculty of Health Sciences, as well as by the Institutional Review Board of Columbia University Medical Center.
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Publication 2018
Adult Ethics Committees, Research Faculty HIV Infections Homo sapiens Infant Mothers Postnatal Care Primary Health Care Woman
The study was undertaken within the framework of the assessment of the community effectiveness of Intermittent Preventative Treatment in Infants (IPTi), part of the IPTi Consortium (www.ipti-malaria.org, clinical trial number NCT00152204). We received ethical approval from local and national institutional review boards (Ifakara Health Institute and the National Tanzania Medical Research Co-coordinating Committee) through the Tanzania Commission for Science and Technology. Ethical and research clearance was also obtained from the London School of Hygiene and Tropical Medicine, UK, and the Ethics Commission of the Cantons of Basel-Stadt and Basel-Land, Switzerland. During field work, information sheets in Swahili about the study were given out, explaining why it was being done, by whom, and what it would involve. Consent to participate was obtained in writing from household heads and orally from women answering questions about their pregnancies. Confidentiality of all study participants was assured.
The study was conducted in the districts of Nachingwea, Lindi Rural, Ruangwa, Tandahimba and Newala Districts in Southern Tanzania, which had a total population of over 800,000 people in 2007. The study setting and field methods from a similar survey have been described in detail elsewhere [15] , [16] (link) so the key aspects are summarised here. The area has a wide mix of ethnic groups, including the Makonde, Mwera, Yao. Although most people speak the language of their own ethnic group, Swahili is also widely spoken. The most common occupations are subsistence farming, fishing and small scale trading. Cashew nuts, sesame and groundnuts are the major cash crops while food crops are cassava, maize, sorghum and rice. Most people live in mud-walled and thatched-roof houses; a few houses have corrugated iron roofs. Common water supplies are hand-dug wells which rely on seasonal rain, communal boreholes, natural springs and river water. Most rural roads are unpaved: some are not passable during rainy seasons while others are too steep for vehicles to pass. In 2000–2001 39% of households lived below the poverty line in Lindi and Mtwara regions [27] . The HIV prevalence rates (categorized) for adults age 15–49 years in Lindi and Mtwara regions were estimated to be 4–6% and 7–10% respectively in 2003/4 [27] .
The public health system comprises a network of dispensaries, health centres and hospitals offering a varying quality of care [15] . Nearly all (99%) pregnant women attend antenatal care at least once, and around half of women deliver with a skilled attendant [14] .
Between June and October 2007, a survey team of over 200 field staff visited all 243,612 households in the five study districts. Household heads were asked to give their written consent to participate. In a few households (15,823, 7%), nobody could be found on the day of the survey despite repeat visits by interviewers within the day. Over 99% (225,980) agreed to take part. Female participants age 13–49 who had had a live birth in the year before the survey were then separately asked for written consent to participate and were asked questions relating to use of antenatal care, intrapartum care (such as place of childbirth and birth attendant) and postpartum care including essential newborn care indicators, for the most recent birth. Some questions were only asked to women who had had a non-facility delivery.
The questionnaire was administered in Swahili using handheld computers (personal digital assistants or PDA) to capture responses [28] (link). Standard range, consistency and completeness checks were carried out in the field. Analysis was conducted in Stata version 10 [29] .
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Publication 2010
3-(4-dimethylaminophenyl)-N-hydroxy-2-propenamide Adult Agricultural Crops Care, Prenatal Cashew Childbirth Ethics Committees, Research Ethnic Groups Ethnicity Females Food Head of Household Households Infant Infant, Newborn Interviewers Iron Malaria Manihot Natural Springs Obstetric Delivery Oryza sativa Postnatal Care Pregnancy Pregnant Women Quality of Health Care Rain Rivers Sesame Sorghum STEEP1 protein, human Woman Zea mays

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Publication 2014
Ethics Committees, Research Ethnicity Fetus Infant, Newborn Mothers Patient Discharge Patients Postnatal Care Pregnancy Woman

Most recents protocols related to «Postnatal Care»

A questionnaire with 22 questions (see Additional file 2) for assessing staff knowledge on definitions of the perinatal and neonatal period (n = 2), antenatal care (n = 7) and postpartum care (n = 13) was developed based on the National Guidelines in Reproductive Health Care [38 ] and administered to health workers involved in the provision of care to pregnant and birthing women, newly delivered women and their newborns at the onset of the study and the end of the 12-month intervention.
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Publication 2023
Care, Prenatal Health Personnel Infant, Newborn Postnatal Care Reproduction Woman
We did not exclude pregnant women with comorbidities or demographic factors that can be associated with having fetuses at either of the growth extremes. It was important to include these women to evaluate the real-world sex differences in atypical head size. Additionally, we did not have sufficient data to identify all of these conditions or factors. Specifically, we did not perform a sensitivity analysis excluding women with obesity from our analysis because pre-pregnancy body mass index (BMI) was often not available in the EMR; therefore, we could not reliably differentiate women with obesity from women without obesity.
We did not include postnatal outcomes in this analysis, as we could not accurately identify these outcomes. Many pathologic causes of atypical head size are not identified during the birth hospitalization (18 (link), 19 (link)), an issue that may be more prominent among those with a HC at the edge of the typical range that were the focus of our study. We studied patients at a tertiary referral center with a wide catchment area and would have missed a substantial proportion of infants who had diagnoses made after discharge. Prenatal concerns can also influence postnatal care. Therefore, increased frequency of prenatal microcephaly in females and prenatal macrocephaly in males could bias the proportion of infants identified with pathologic causes of atypical head size. There are no accepted lists of conditions that cause atypical head size or guidelines regarding identification of such conditions. Finally, preliminary work in our institution revealed significant differences among clinicians regarding the likelihood that certain conditions caused atypical head size starting in the second trimester.
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Publication 2023
Childbirth Diagnosis Females Fetal Growth Head Hospitalization Hypersensitivity Index, Body Mass Infant Macrocephaly Males Microcephaly Obesity Patient Discharge Patients Postnatal Care Pregnancy Pregnant Women Woman
To guide our study, we developed an analytic framework adapted from Singh et al.’s [14 (link)] health systems and policy assessment framework that conceptualizes the World Health Organization (WHO) health systems building blocks and a country’s legislative framework for maternal health as inputs to the provision and utilization of maternal health services, the effective and equitable coverage of services along the continuum of care, and ultimately, maternal mortality (Figure 1). Given data availability and the many factors influencing effective and equitable coverage of interventions and maternal mortality, we focused on the relationship between policies and related implementation structures (e.g. coordination, clinical guidelines, reporting systems) for maternal health and utilization of key services in various countries: antenatal care (ANC), institutional delivery, and postnatal care (PNC) for the mother.
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Publication 2023
Care, Prenatal Continuity of Patient Care Maternal Health Services Mothers Obstetric Delivery Postnatal Care
The outcome variable of this study was vitamin A supplementation among children aged 6–35 in the last 6 months (yes/no). The independent variables were individual-level variables such as the age of the child, age of the mother, sex of the child, sex of household head, religion, marital status, mother's education, husband's education, wealth status, working status, birth order, parity, possession of radio, possession of a television, number of under-five children in the household, place of delivery of the child, mothers having ANC, and mothers having postnatal care. The community-level variables were residence and region. A region in this study was classified into five Oromia, Amhara, Southern Nation Nationalities and Peoples Region (SNNPR), Tigray, and others. The ‘others' region contains Addis Ababa, Somalia, Afar, Dire Dawa, Benishangul, and Gambella due to their low number of eligible participants for this study. The questionnaire of the survey was pretested and 2 days of training were given to the data collectors and supervisors before the onset of actual data collection.
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Publication 2023
Child Head of Household Households Mothers Obstetric Delivery Postnatal Care Vitamin A
IVON-IS will be conducted in Lagos State, South West, Nigeria. Specifically, implementation outcomes will be tested in a cluster of six health facilities that have not yet been exposed to training or implementation related to the ongoing IVON trials. The facilities span public (government-owned) and private (individual/organisation-owed) sectors in the state. The cluster will include one tertiary hospital, two secondary hospitals, one comprehensive primary health centre (PHC) in the public sector, and two private hospitals with varied patient bases. The selected facilities will be in proximity and linked to the state’s existing referral process. The cluster will represent a sub-unit of the health system and reflect the points of antenatal and postnatal care for pregnant women. Indeed, in Lagos, public health facilities manage 27% of deliveries in the state, while private health facilities take up about 48% [27 ]. Using projected data from our ongoing IVON clinical trials, we estimate that we will screen about 4000 pregnant and postpartum women per annum and have approximately 400 women eligible for treatment for anaemia.
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Publication 2023
Anemia Obstetric Delivery Patients Postnatal Care Postpartum Women Pregnant Women Public Sector Woman

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More about "Postnatal Care"

Postnatal care, postpartum care, and postbirth care refer to the healthcare and support provided to a woman and her newborn child following childbirth.
This critical period after delivery is essential for monitoring the health and well-being of both the mother and infant.
Key aspects of postnatal care include breastfeeding support, maternal mental health assessment, newborn screening, and identifying and managing any complications that may arise.
Effective postnatal care relies on evidence-based protocols and interventions to optimize outcomes.
Researchers and clinicians can leverage AI-powered platforms like PubCompare.ai to streamline the process of identifying the best practices, products, and preprints from the literature, patents, and preprint repositories.
This enhances the reproducibility and accuracy of postnatal care research and implementation.
Statistical software tools like Stata (versions 11, 13, 14, 15), SPSS (versions 20, 23), EpiData 3.1, SAS 9.4, and R 4.0.2 can also be utilized to analyze data and inform evidence-based postnatal care strategies.
By combining the latest technological innovations with rigorous scientific methods, healthcare providers can deliver the highest quality postnatal care and support for mothers and their newborns.