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Supplementary Methods. Real-world data on diffuse large B-cell lymphoma 2010–2019: usability of large data sets of Finnish hospital data lakes
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Graph and download economic data for Real Gross Domestic Product by Industry: Private Industries: Educational Services, Health Care, and Social Assistance: Health Care and Social Assistance: Hospitals and Nursing and Residential Care Facilities for Great Lakes BEA Region (DISCONTINUED) (GLAKHSPTLNRSRGSP) from 1997 to 2016 about Great Lakes BEA Region, nursing, healthcare, hospitals, social assistance, health, GSP, residential, private industries, education, services, private, real, industry, GDP, and USA.
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All Employees: Education and Health Services: Hospitals in Salt Lake City, UT (MSA) was 18.30000 Thous. of Persons in February of 2022, according to the United States Federal Reserve. Historically, All Employees: Education and Health Services: Hospitals in Salt Lake City, UT (MSA) reached a record high of 18.90000 in January of 2021 and a record low of 10.00000 in February of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Education and Health Services: Hospitals in Salt Lake City, UT (MSA) - last updated from the United States Federal Reserve on March of 2025.
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All Employees: Government: Department of Defense, Including Ship Building and Hospitals in Salt Lake City, UT (MSA) was 5.20000 Thous. of Persons in December of 2021, according to the United States Federal Reserve. Historically, All Employees: Government: Department of Defense, Including Ship Building and Hospitals in Salt Lake City, UT (MSA) reached a record high of 7.60000 in June of 1990 and a record low of 3.70000 in July of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Government: Department of Defense, Including Ship Building and Hospitals in Salt Lake City, UT (MSA) - last updated from the United States Federal Reserve on February of 2025.
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Graph and download economic data for All Employees: Education and Health Services: Hospitals in Salt Lake City-Murray, UT (MSA) (SMU49416206562200001) from Jan 1990 to Jan 2025 about Salt Lake City, hospitals, UT, health, employment, and USA.
The baseline health facility survey was conducted prior to implementation of a performance-based financing scheme, in the context of two projects financially supported by the World Bank: the Health Strengthening for Better Maternal and Child Health Results Project (PDSS) and The Great Lakes Emergency Sexual and Gender Based Violence and Women's Health Project (Great Lakes). The survey data were collected between June 2015 and March 2016 in 133 Health Zones in 14 provincial health districts (DPS).
The survey took place in 133 health zones of 14 Provincial Health Districts: Kwango, Kwilu, Mai-Ndombe, Equateur, Mongala, Sud-Ubangi, Tshuapa, Haut-Katanga, Haut-Lomami, Tanganyika, Lualaba, Maniema, Nord Kivu, Sud Kivu
Sample survey data [ssd]
Five health zones in each health area were selected at random to be included in the sample. All health areas within the same health zone had the same probability of being selected. In cases where more than one health center served a health area, a center was chosen randomly. The non-selected health areas have been ordered and could be used as a replacement if the field teams are unable to conduct the survey at one of the selected health centers. The selection made no distinction between health centers offering the minimum package of activities (PMAs) and reference health centers offering a more complete package of services (BCPs).The five health centers selected within each health zone were randomly divided into two categories: 2 health centers for in-depth evaluation and 3 health centers for Light and shorter / shorter. The purpose of a shorter assessment is to obtain key elements regarding the availability of health services at the community level in the health area.
In addition to health centers, facility surveys were also conducted in the General Reference Hospitals (HGR). In general, a health zone has only one HGR. However, some health zones do not have a hospital of this type. Eighty health districts among those supported by the PDSS project were selected for the hospital survey. For the other two categories of health zones, a hospital survey had to be carried out once a hospital existed in the health zone.
A stratified random sampling of health, medical and paramedical staff with responsibilities for maternal and child health care delivery in health facilities was to be selected for interview in a health provider survey. Four health workers were to be interviewed in each health facility for an in-depth evaluation of health centers and hospitals. In health centers where the abridged version of the assessment was to be conducted, only one health provider was randomly interviewed. Eligible health workers include physicians, nurses, midwives / auxiliary midwives, and any other health care provider providing care related to targeted services. In institutions with fewer than 4 health workers, all eligible health workers will be interviewed.
Computer Assisted Personal Interview [capi]
The health facility survey questionnaires are provided under the Related Materials tab.
Dataset Abstract Weather Observations taken between June 1887 and April 1987 at the Kalamazoo Hospital NWS station. Comments: This data has not been verified; there are errors. If you come across inconsistent data please send a message stating your observation to the LTER data manager. Datatable Abstracts The daily record of the NWS station at the Kalamazoo Hospital.
Flag Codes: * 1 Missing * 2 Trace * 3 Estimated * 4 Amount included in subsequent observation * 5 Estimated trace amount * 9 Miscellaneous
NOTE: The date represents time intervals from 16:00 thru 16:00 e.g.minimum temperature data for 02-may-1987 is the minimum temperature recorded from 30-apr- 1987:16:00 to 01-may-1987:16:00. This date corresponds to date noted at the end of the day interval. (01-may-1987:24:00:00 = 02-may- 1987:00:00:00).
This data has not been verified; there are errors. If you come across inconsistent data please send a message stating your observation to the LTER data manager. The weather data from the Kalamazoo Hospital Station formatted for climdb
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Graph and download economic data for All Employees: Government: Department of Defense, Including Ship Building and Hospitals in Salt Lake City-Murray, UT (MSA) (SMU49416209091911901) from Jan 1990 to Jan 2025 about ships, Salt Lake City, defense, hospitals, UT, manufacturing, employment, and USA.
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Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Lake of the Woods County, MN (DISCONTINUED) (DMPCRATE027077) from 2008 to 2015 about Lake of The Woods County, MN; preventable; admissions; hospitals; MN; 5-year; rate; and USA.
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Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Salt Lake County, UT (DISCONTINUED) (DMPCRATE049035) from 2008 to 2015 about Salt Lake County, UT; Salt Lake City; preventable; admissions; hospitals; UT; 5-year; rate; and USA.
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Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Summit County, UT (DISCONTINUED) (DMPCRATE049043) from 2008 to 2015 about Summit County, UT; Salt Lake City; preventable; admissions; hospitals; UT; 5-year; rate; and USA.
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Graph and download economic data for All Employees: Health Care: Hospitals in Salt Lake City, UT (MSA) (SMU49416206562200001A) from 1990 to 2024 about Salt Lake City, hospitals, UT, health, employment, and USA.
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Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Cameron Parish, LA (DISCONTINUED) (DMPCRATE022023) from 2008 to 2015 about Cameron Parish, LA; Lake Charles; preventable; admissions; hospitals; LA; 5-year; rate; and USA.
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Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically
Supplementary Methods. Real-world data on diffuse large B-cell lymphoma 2010–2019: usability of large data sets of Finnish hospital data lakes