The National Community Child Health Database (NCCHD) is a database maintained by Digital Health and Care Wales (DHCW). The data is extracted routinely from local health board held Child Health System databases. Full details of every data item available on both the Maternity Indicators dataset and National Community Child Health Database are available through the NWIS Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm From 1st April 2019 health service provision for residents of Bridgend local authority moved from Abertawe Bro Morgannwg to Cwm Taf. For more information see the joint statement from Cwm Taf and Abertawe Bro Morgannwg University Health Boards (see weblinks). The health board names have changed with Cwm Taf University Health Board becoming Cwm Taf Morgannwg University Health Board and Abertawe Bro Morgannwg University Health Board becoming Swansea Bay University Health Board. Data for Abertawe Bro Morgannwg and Cwm Taf are available for previous years in this table by selecting the tick boxes in the Area drop-down box. Breastfeeding data at 10 days, 6 weeks and 6 months is collected through the Healthy Child Wales Programme. The delivery of this programme has been affected by COVID-19 and has resulted in a small increase of missing breastfeeding data in Apr-Jun 2020. The percentage of missing data for the quarter Jul-Sep 2020 is in line with pre-COVID-19 levels.

The proportion of infants who are totally or partially breastfed at 6-8 weeks of age, out of the number of infants due a 6-8 week check, expressed as a percentage, with 95% confidence intervals There will be no further updates for this indicator. Collection of data for this indicator has transferred to Public Health England; it is now reported at Local Authority level but is not available for CCGs. The last data available for CCGs related to Quarter 1 2015/16 and was published in December 2015. Legacy unique identifier: P01814

This dataset presents the rate of child breastfeeding in the state of Victoria for the year 2011 - 2012. The dataset aims to indicate the maternal and child health of the region. The data has been …Show full descriptionThis dataset presents the rate of child breastfeeding in the state of Victoria for the year 2011 - 2012. The dataset aims to indicate the maternal and child health of the region. The data has been aggregated to the 2011 Local Govenment Areas (LGA). The breastfeeding rate is calculated as the number of mother's breastfeeding at discharge, at 2 weeks, at 3 months and at 6 months, as a percentage of the total number of registered infants aged 1-2 years (Classified as full or partial according to the World Health Organisation definitions). For more information please visit the Victorian Government Data Portal. Please note: AURIN has spatially enabled the original data. The original data has separated the "East Gippsland" LGA into specified hospitals, "East Gippsland - ORH" & "East Gippsland - GLCH". These have been aggregated into one LGA to allow spatialisation. The original data has separated the "Wellington" LGA into specified health centres, "Wellington - YDHS" & "Wellington - CGHS". These have been aggregated into one LGA to allow spatialisation. Breastfeeding rates are based on the number of children being fully or partially breastfed at specific ages. Breastfeeding Rates for the reported year are calculated on the data sourced from the previous year. For example, rates reported in 2011-12 are based on 2010-11 breastfeeding figures. Copyright attribution: Government of Victoria - Department of Education and Training, (2013): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

As of September 27, 2020, there were around 419 confirmed COVID-19 cases per 1,000 residents in nursing homes in Louisiana. This statistic illustrates the rate of COVID-19 cases in nursing homes in the United States as of September 27, 2020, by state.

Background: In 1986, the Congress enacted Public Laws 99-500 and 99-591, requiring a biennial report on the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). In response to these requirements, FNS developed a prototype system that allowed for the routine acquisition of information on WIC participants from WIC State Agencies. Since 1992, State Agencies have provided electronic copies of these data to FNS on a biennial basis.FNS and the National WIC Association (formerly National Association of WIC Directors) agreed on a set of data elements for the transfer of information. In addition, FNS established a minimum standard dataset for reporting participation data. For each biennial reporting cycle, each State Agency is required to submit a participant-level dataset containing standardized information on persons enrolled at local agencies for the reference month of April. The 2020 Participant and Program Characteristics (PC2020) is the 17th to be completed using the prototype PC reporting system. In April 2020, there were 89 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the U.S. Virgin Islands, and 33 Indian Tribal Organizations (ITOs).Processing methods and equipment used: Specifications on formats (“Guidance for States Providing Participant Data”) were provided to all State agencies in January 2020. This guide specified 20 minimum dataset (MDS) elements and 11 supplemental dataset (SDS) elements to be reported on each WIC participant. Each State Agency was required to submit all 20 MDS items and any SDS items collected by the State agency. Study date(s) and duration The information for each participant was from the participants’ most current WIC certification as of April 2020.Study spatial scale (size of replicates and spatial scale of study area): In April 2020, there were 89 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the U.S. Virgin Islands, and 33 Indian Tribal Organizations (ITOs).Level of true replication: UnknownSampling precision (within-replicate sampling or pseudoreplication):State Agency Data Submissions. PC2020 is a participant dataset consisting of 7,036,867 active records. The records, submitted to USDA by the State Agencies, comprise a census of all WIC enrollees, so there is no sampling involved in the collection of this data.PII Analytic Datasets. State agency files were combined to create a national census participant file of approximately 7 million records. The census dataset contains potentially personally identifiable information (PII) and is therefore not made available to the public.National Sample Dataset. The public use SAS analytic dataset made available to the public has been constructed from a nationally representative sample drawn from the census of WIC participants, selected by participant category. The national sample consists of 1 percent of the total number of participants, or 70,368 records. The distribution by category is 5,469 pregnant women, 6,131 breastfeeding women, 4,373 postpartum women, 16,817 infants, and 37,578 children.Level of subsampling (number and repeat or within-replicate sampling): The proportionate (or self-weighting) sample was drawn by WIC participant category: pregnant women, breastfeeding women, postpartum women, infants, and children. In this type of sample design, each WIC participant has the same probability of selection across all strata. Sampling weights are not needed when the data are analyzed. In a proportionate stratified sample, the largest stratum accounts for the highest percentage of the analytic sample.Study design (before–after, control–impacts, time series, before–after-control–impacts): None – Non-experimentalDescription of any data manipulation, modeling, or statistical analysis undertaken: Each entry in the dataset contains all MDS and SDS information submitted by the State agency on the sampled WIC participant. In addition, the file contains constructed variables used for analytic purposes. To protect individual privacy, the public use file does not include State agency, local agency, or case identification numbers.Description of any gaps in the data or other limiting factors: All State agencies provided data on a census of their WIC participants.Resources in this dataset:Resource Title: WIC PC 2020 National Sample File Public Use Codebook.; File Name: PC2020 National Sample File Public Use Codebook.docx; Resource Description: WIC PC 2020 National Sample File Public Use CodebookResource Title: WIC PC 2020 Public Use CSV Data.; File Name: wicpc2020_public_use.csv; Resource Description: WIC PC 2020 Public Use CSV DataResource Title: WIC PC 2020 Data Set SAS, R, SPSS, Stata.; File Name: PC2020 Ag Data Commons.zipResource; Description: WIC PC 2020 Data Set SAS, R, SPSS, Stata One dataset in multiple formats

Multivariable models to determine factors associated with exclusive breastfeeding and any breastfeeding.

Data from a cross-sectional survey conducted among 400 mothers of children, 0-24 months old, in rural Kenya. Data includes information on early child-feeding practices, knowledge of breastfeeding recommendations, beliefs associated with exclusive breastfeeding, socio-economic status and demographic characteristics.

As of September 27, 2020, there were around 125 COVID-19 deaths per 1,000 residents in nursing homes in Massachusetts. This statistic illustrates the rate of COVID-19 deaths in nursing homes in the United States as of September 27, 2020, by state.

This is a monthly report on publicly funded community services for children, young people and adults using data from the Community Services Data Set (CSDS) reported in England for February 2020. The CSDS is a patient-level dataset and has been developed to help achieve better outcomes for children, young people and adults. It provides data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. These services can include NHS Trusts, health centres, schools, mental health trusts, and local authorities. The data collected in CSDS includes personal and demographic information, diagnoses including long-term conditions and disabilities and care events plus screening activities. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report.

This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2021-22, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2022. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019 the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the third publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type, birthweight, place of birth, and breastfeeding activity; and the mothers' ethnicity and age at booking. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. The count of Total Babies includes both live and still births, and previous changes to how Total Babies and Total Deliveries were calculated means that comparisons between 2019-20 MSDS data and later years should be made with care. The MethodfDelivery measure counting babies has been replaced by the DeliveryMethodBabyGroup measure which counts deliveries, and the smoking at booking and folic acid status measures have been renamed - these changes have been made to better align this annual publication with the Maternity Services Monthly Statistics publication. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.

BackgroundAt the onset of the COVID-19 pandemic, support for breastfeeding was disrupted in many countries. Italy was severely impacted by the pandemic and is known to have the lowest exclusive breastfeeding rate of all European countries. Considering the inverse association between anxiety and breastfeeding, maternal concerns about the COVID-19 emergency could reduce breastfeeding rates. The aim of the study is to explore the association between infant feeding practices and maternal COVID-19 concerns.MethodsThis paper is a secondary analysis of the cross-sectional study COVID-ASSESS conducted in Italy in 2020. The original survey was administered in two phases: during the first lockdown and during the reopening. The survey included five sections: socio-demographic, medical history, concerns about the COVID-19 pandemic, infant feeding practices and psychometric evaluation. Participants were considered eligible for the post-hoc analyses if they were exclusively breastfeeding or they were feeding with infant formula (either alone or with breastfeeding) at the time of the interview.ResultsBetween phase 1 and phase 2 there was a decrease in anxiety and concerns about the danger of COVID-19 to general health, except for concerns about their baby's health. Women using formula were more concerned about all the health topics investigated. Moreover, they showed higher levels of stress, state anxiety, somatization and PTSD symptoms.ConclusionBreastfeeding during the first pandemic lockdown in Italy seems to have been an independent factor associated with lower anxiety about COVID-19, fewer psychopathological symptoms, and a positive experience of infant feeding.

Graph and download economic data for All Employees, Skilled Nursing Care Facilities (CES6562310001) from Jan 1990 to Feb 2025 about nursing homes, nursing, health, establishment survey, education, services, employment, and USA.

In 2020, nursing home residents in the United States were mostly white, non-Hispanic, female and over the age of 85 years. The gender distribution was roughly six women to four men. Despite a third of residents being over 85 years, some 18 percent were under the age of 65 years.

Maternity Services Monthly Statistics February 2020, experimental statistics This is a report on NHS-funded maternity services in England for February 2020, using data submitted to the Maternity Services Data Set (MSDS). This is the latest report from the new version of the data set, MSDSv2. The new data set is a significant change which adds support for new policy initiatives such as personalised and continuous care plans as well as increased flexibility through the introduction of new clinical coding. This is a major change so data quality and coverage has reduced from the levels seen in previous publications. The data derived from SNOMED codes is still being developed, so data items such as BMI and smoking at booking for this month will be released in due course. Other items may not be available for some or all trusts due to the range of data submitted. System suppliers are at different stages of developing their new solution and delivering that to trusts. In some cases this has limited the aspects of data that could be submitted to NHS Digital. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website.

Most health care providers in Lagos State, Nigeria are private and are not required to offer breastfeeding counseling to women. From May 2019-April 2020, Alive & Thrive implemented a multicomponent breastfeeding promotion intervention in private health facilities in Lagos that included training and support to implement the Baby-Friendly Hospital Initiative and provide breastfeeding counseling and support to pregnant women and lactating mothers in person and on WhatsApp. We conducted a mixed methods process evaluation in 10 intervention and 10 comparison private health facilities to examine the feasibility and acceptability of integrating the intervention into routine health services. We conducted in-depth interviews with 20 health facility owners/managers and providers, 179 structured observations of health providers during service provision to pregnant and lactating women and 179 exit interviews with pregnant and lactating women. The in-depth interviews were transcribed and analyzed thematically. The structured observations and exit interviews were summarized using descriptive and inferential statistics. The in-depth interviews indicated that almost all health facility owners/managers and providers at the intervention health facilities had generally positive experiences with the intervention. However, the health providers reported implementation barriers including increased workload, use of personal time for counseling on WhatsApp, and some mothers’ lack of access to WhatsApp support groups. Observations suggested that more breastfeeding counseling occurred at intervention compared with comparison health facilities. Third trimester exit interviews showed that 86% of women in the intervention health facilities were very confident they could carry out the breastfeeding advice they received, compared to 47% in the comparison health facilities. Our research suggests that provision of breastfeeding counseling and support through private health facilities is feasible and acceptable, but service delivery challenges must be considered for successful scale-up.

These are a compiled and cleaned dataset of the the original data on COVID-19 confirmed and suspected caess and confirmed deaths in U.S. Nursing Homes through 26-July 2020. The original data was obtained from the Centers for Medicare & Medicaid. Covid-19 Nursing home data. Department of Health & Human Services. 2020. Available from Data.CMS.gov: https://data.cms.gov/stories/s/bkwz-xpvg.

The Nursing Homes Profiles quality data provides a consumer-friendly product that allows patients and their families to understand how the New York State Nursing Homes perform within five specific domains of care and overall. The domains (Preventive Care, Quality of Care, Quality of Life, Resident Safety and Resident Status) encompass twenty-four different quality measures. A Domain Rating assesses performance over all the measures within that domain, with 5 stars indicating the highest performance and 1 star the lowest performance. The Overall Rating is a normalized star rating based on the Nursing Homes' performance across the five domains. The normalization of the Overall Rating resets the distribution, with the highest performing Nursing Homes across all the domains having 5 stars and the lowest performing Nursing Homes across the five domains having 1 star. New York’s Nursing Home Domain Rating differs from CMS’ 5-star rating in data reporting period and in methodology.