Data Source. These data files are prepared by the MCP’s designated survey vendor using the MCP’s CAHPS survey data and sample frame file information.
Data Source. Once the user account is created, the Customer, via an Authorized User, must connect or upload a Data Source to the Nearbound Platform. By connecting / uploading its Data Source to the Nearbound Platform, the Customer undertakes that:
Data Source. Pharmacy Claims 1 Data Source: Member Enrollment 1 (may be several files) Historical File Load 10 years min Duration of Storage 5 years min Frequency of Refresh Monthly Number of User Roles Minimum two roles: Executive Level and Power User Original Term Year 1 Year 2 Year 3 Year 4 Year 5 Start-up/Preparation and Implementation $ - Basic Annual Service/Subscription $ 388,798.00 $ 388,798.00 $ 388,798.00 $ 388,798.00 $ 388,798.00 CMS MSP Submission $ 48,000.00 $ 48,000.00 $ 48,000.00 $ 48,000.00 $ 48,000.00 Population Health Management Annual Review $ 4,200.00 $ 4,200.00 $ 4,200.00 $ 4,200.00 $ 4,200.00 Total Annual Cost $ 440,998.00 $ 440,998.00 $ 440,998.00 $ 440,998.00 $ 440,998.00 Number of Users 8 Original Term (Years 1-5) Total Renewal Term (Years 6-10) Total Renewal Term Year 6 Year 7 Year 8 Year 9 Year 10 $ 388,798.00 $ 388,798.00 $ 388,798.00 $ 388,798.00 $ 388,798.00 $ 48,000.00 $ 48,000.00 $ 48,000.00 $ 48,000.00 $ 48,000.00 $ 4,200.00 $ 4,200.00 $ 4,200.00 $ 4,200.00 $ 4,200.00 $ 440,998.00 $ 440,998.00 $ 440,998.00 $ 440,998.00 $ 440,998.00 $ 2,204,990.00 $ 2,204,990.00 REMAINDER OF PAGE INTENTIONALLY LEFT BLANK. Original Term Renewal Term Other than implementation or circumstances expressly provided for in the Statement of Work, specify any circumstances in which additional charges do not apply. Unit Unit Cost Unit Unit Cost Example each $ 50.00 each $ 50.00 Does not apply to the first 100 additional changes. Additional Data Integrations with New Partners each $ 12,000.00 each $ 12,000.00 Does not apply to the first 5 additional integrations.
Data Source an entity that handles the Customer information or a legitimate access thereto.
Data Source. HESA Performance Indicators Data Source: HESA Performance Indicators
Data Source. Information Management Protecting Adults and Children in Texas (IMPACT); information used for the performance period: Facility (operation) as described in 40 TAC §745.37(3)(A)-(I), with an active Contract; Number of DFPS placements in the contracted Facility that were active at any point during the performance period; and Number of Designated Victims at the Facility for which a disposition of RTB was Upheld. Methodology: The numerator is the number of children who are/were in DFPS managing conservatorship, placed with the Contractor, and Designated Victims determined by a Residential Child-Care Licensing (RCCL) investigation, for which a disposition of RTB was Upheld during the performance period. The denominator is the total number of children in DFPS managing conservatorship placed with the Contractor during the performance period. Divide the numerator by the denominator. Subtract the result from one (1) to give the complimentary ‘children not Designated Victims’ measurement. Multiply by 100 and state as a percentage.
Data Source. Phoenix 2. *In January 2021, the provider began transitioning its mobile crisis data reporting from manual to Phoenix. An “*” indicates areas of active data quality improvement being monitored by DHHS. Notes: Data Compiled 02/02/2022. Reported values, other than Unique People Served in Month, are not de-duplicated at the individual level; individuals can account for multiple instances of service use, hospital diversions, etc. Crisis apartments functioned at a 50% capacity due to COVID-19, lack of testing for individual admissions, and the lack of ability to maintain social distancing standards. Reported values, other than Unique People Served in Month, are not de-duplicated at the individual level; individuals can account for multiple instances of service use, hospital diversions, etc.
Data Source. The data used in this research are from the narratives, conversations, and dialogues in The Adventures of Xxxxxxxxxxx Xxxx novel that indicates Xxxx'x juvenile delinquency and his surrounding that affect his juvenile delinquency. The Adventures of Xxxxxxxxxxx Xxxx novel, written by Xxxx Xxxxx, consists of 42 chapters and 366 pages and was published in December 1884, United Kingdom.
Data Source. In 2014, The Bill and Xxxxxxx Xxxxx Foundation (The Foundation) commissioned Emory University to execute a sanitation outcome verification study. Emory University subsequently partnered with the International Centre for Diarrhoeal Disease Research, Bangladesh and Portland State University to design and coordinate the verification. The study was intended to verify programmatic results reported by a non-governmental organization (NGO) that received a grant from The Foundation to implement large-scale Water, Sanitation and Hygiene (WASH) projects in Bangladesh (49). One objective of the study was to compare various latrine use measurement methods: respondent-reported, PLUM-recorded, and latrine spot check indicators of use. After employing a Monte Carlo simulation to conduct a sample size determination in SAS software version 9.4, participating households were selected into the study using a multi-stage sampling strategy. This strategy selected village-WASH committee (VWC) clusters in which the NGO was implementing its Foundation-funded WASH projects. The intention of the sampling process was to test two-sided verification hypotheses to determine whether the sanitation outcomes reported by the NGO were reliable. In the initial sampling stages, study staff randomly selected, with probability proportionate to size, 26 sampling units from each of two WASH intervention groups, for a total of 52 sampling units. Subsequently, study staff randomly selected one VWC cluster from each sampling unit for inclusion into the study using simple random sampling. In the final round of sampling, the field team obtained the register of households in each selected VWC, and stratified the households by wealth category (as defined by the VWC and the NGO). Study staff employed systematic random sampling to selected eight households from each of the three wealth categories (ultra-poor, poor and non-poor). The study design and sampling methods are described in greater detail in the verification report provided to The Foundation after the study was completed (49). For the purposes of the larger verification study, a household was defined as “a person/group of related/unrelated persons who usually live together in the same dwelling(s) who have common cooking/eating arrangements, and who acknowledge one adult member as the head of household.” (50) Households were excluded after selection if they refused participation and/or consent, were absent all three times the survey team visited th...
Data Source. Comments FAO summary obsolete pesticide data A complete Summary of existing Obsolete Pesticide Data Concurrent FAO FAO Xxxxxxxxx Wodageneh (Ph.D) Co-ordinator, Chief Technical Advisor Plant Production and Protection division Via delle Terme di Caracalla FAO 00100, Rome, Italy B646 Obsolete Pesticide data from 82 countries (46 from Africa, 13 from Asia, 8 from Near East and 15 from Latin America/Caribbean) Please note the summary is only an indication. Taking into consideration, all types of pesticides, the billions of empty pesticide containers left yearly at the farm gate, heavily contaminated soil at storage sites, or in the open, buried pesticides in an open pit or otherwise, the summary might only be the tip of the iceberg. For related or other information you may wish to refer to the website given. xxxx://xxx.xxx.xxx/WAICENT/FAOINFO/AGRICULT/AGP/AGPP/Pesticid/Disp osal/index_en.htm FAO, UNEP, Secr. of the Basel Convention Title Objective(s) Status Responsible Organisation(s) Partner(s) Data Source Comments Unwanted stocks of pesticides and other chemicals, including POPs To build on the work already undertaken in Africa, inventory stockpiles of unwanted pesticides and other chemicals including POPs in other areas, including Latin America and Russia. The next step will be to develop guidance and training on the management and disposal of such stockpiles and to seek bilateral and other partners for actual management and disposal projects. Concurrent FAO, UNEP and SBC Bilateral and other donors of financial and technical assistance UNEP Chemicals FAO will continue to serve as the lead for this work with UNEP Chemicals and SBC providing expertise and other resources in support.
