These official statistics monitor the delivery of measures through the Green Homes Grant Local Authority Delivery (LAD) and Home Upgrade Grant schemes. The tables provide analysis on the measures installed and households receiving measures. Within each publication, a commentary explaining the key trends is provided. As part of the scheme monitoring, the analysis is shown by geographical region. The scheme covers England only. These statistics are provisional and are subject to future revisions. Home Upgrade Grant statistics included from July 2022 release onwards.

Names of boys under the Farm Lads migration scheme. Names are taken from correspondence between the Immigration Agent and prospective employers, farm learners (farm lads) and parents regarding possible employment or the boys' placement on farms: S5384, S13150, S13069. Records held by Queensland State Archives.

A healthy subject scanned by DTI30,DTI60, HARDI, and DSI.

Yeh, Fang-Cheng, Van Jay Wedeen, and Wen-Yih Isaac Tseng. "Generalized q-sampling imaging." IEEE transactions on medical imaging 29.9 (2010): 1626-1635.

Advanced Biomedical MRI Lab at National Taiwan University Hospital (termed the NTU Lab in the following agreements) hereby grants a license to use images and data that appears on this webpage solely for non-commercial educational and research purposes, subject to the following restrictions: (1) You must at all times acknowledge and attribute ownership of the distributed images and data to the NTU Lab in any documentation, advertising materials, and other materials related to this distribution. (2) Redistribution and use of the image are permitted provided that this paragraph are duplicated in all such forms. As the images and data is experimental in nature and is being provided solely to facilitate medical, academic and scientific research, you agree that you will use this information, images, and data at your own risk and without recourse or liability of any kind to NTU Lab. (3) NTUH ADVANCED BIOMEDICAL MRI LAB MAKES NO REPRESENTATIONS AND EXTENDS NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED WITH RESPECT TO THE INFORMATION, IMAGES AND DATA, AND THERE ARE NO EXPRESS OR IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. (4) Use of the information, images or data for any commercial purposes is strictly prohibited without the express written consent of the NTU Lab.

This dataset contains results of our simulation experiments carried out for the Optimal Dynamic Spectrum Access Scheme to utilize white space in LTE Systems. The results were published in the proceedings of IEEE WCNC 2019 with the title "Optimal Dynamic Spectrum Access Scheme for Utilizing White Space in LTE Systems". One set of data belongs to output of experiments run against LTE data captured in our lab and corresponds to various configurations used in our experiment (please see the paper for different configuration). Python scripts are provided to process theses data files and plot the graphs published in the paper. Another set of data corresponds to the experiments run against LTE data collected in the metro Philadelphia area with different configuration (please refer to the paper for different configurations used with these experiments). Python scripts are also provided to process the data files and obtain the graphs presented in the paper.

Annual visits for STH/SCH services covered by CBHI scheme.

Table 2 shows the number of times EPs chose each payment scheme by accent and LI origin pooled over all tasks.Summary statistics of payment scheme choice pooled over all tasks.

Number of months of delay in receiving funds/reimbursements from the CBHI scheme.

Hours worked per week Source: Census 2001 Publisher: Neighbourhood Statistics Geographies: Output Area (OA), Lower Layer Super Output Area (LSOA), Local Authority District (LAD), Government Office Region (GOR), National Geographic coverage: England and Wales Time coverage: 2001 Type of data: Survey (census) Notes: The question on hours worked was only asked of people who carried out paid work in the week before the Census, whether self-employed or as an employee. It includes casual or temporary work, even if only for one hour; being on a government sponsored training scheme; being away from a job/business ill, on maternity leave, on holiday or temporarily laid off; or doing paid or unpaid work for their own or family business.

Philippine Health Insurance Corporation (PhilHealth) launched the Primary Care Benefit 1 (PCB1) package in April 1, 2012. This insurance is an enhancement of the Corporation's Outpatient Benefit (OPB) package. PCB1 aims to improve the utilization of the outpatient package as well as the quality and efficiency of health services. It shifted the payment mechanism from a capitation payment scheme tied solely on the enrollment of sponsored members to a performance based payment scheme. A critical challenge for PhilHealth in implementing the PCB 1 is the devolution of health services to the Local Govemment Units (LGUs). The role of patients is also considered as a key to activate the causal chain in quality improvement through a payment for performance (P4P) scheme.

Recognizing the opportunities and to address the challenges for more effective delivery of PCB 1 services, PhilHealth is collaborating with researchers from the World Bank and the Impact Evaluation Lab of the Korean Development Institute School for a randomized evaluation of supplementary interventions to the PCB1. This study is called Impact of Incentives and Information on Quality and Utilization in Primary Care (I3QUiP).The evaluation results will help PhilHealth improve the implementation of PCB1 for a more effective partnership in the delivery of quality health services.

Researchers are examining the impact of three measures being implemented:
- direct payments to providers with increased autonomy on the distribution of the amount,
- increased disclosure of information,
- combination of direct payments and increased disclosure of information.

The baseline survey was conducted from April to June 2014, collecting information from 240 local government units (municipalities or cities).

Abstract

Philippine Health Insurance Corporation (PhilHealth) launched the Primary Care Benefit 1 (PCB1) package in April 1, 2012. This insurance is an enhancement of the Corporation's Outpatient Benefit (OPB) package. PCB1 aims to improve the utilization of the outpatient package as well as the quality and efficiency of health services. It shifted the payment mechanism from a capitation payment scheme tied solely on the enrollment of sponsored members to a performance based payment scheme. A critical challenge for PhilHealth in implementing the PCB 1 is the devolution of health services to the Local Govemment Units (LGUs). The role of patients is also considered as a key to activate the causal chain in quality improvement through a payment for performance (P4P) scheme.

Recognizing the opportunities and to address the challenges for more effective delivery of PCB 1 services, PhilHealth is collaborating with researchers from the World Bank and the Impact Evaluation Lab of the Korean Development Institute School for a randomized evaluation of supplementary interventions to the PCB1. This study is called Impact of Incentives and Information on Quality and Utilization in Primary Care (I3QUiP).The evaluation results will help PhilHealth improve the implementation of PCB1 for a more effective partnership in the delivery of quality health services.

Researchers are examining the impact of three measures being implemented: - direct payments to providers with increased autonomy on the distribution of the amount, - increased disclosure of information, - combination of direct payments and increased disclosure of information.

The baseline survey was conducted from April to June 2014, collecting information from 240 local government units (municipalities or cities).

Geographic coverage

Fourteen out of 17 regions in the country were included in the study. The three exluded regions were the National Capital Region (NCR), the Autonomous Region of Muslim Mindanao (ARMM) and Region VIII.

NCR and ARMM were not considered as part of the study from the early stages of the study design. ARMM does not have health services decentralized at the municipality level and therefore the interventions are not relevant. NCR was considered having too many rural health units (RHUs) and was excluded to prevent biasing the findings. Region VIII was severely affected by typhoon Haiyan/Yolanda in November 2013 prior to implementation of the baseline survey.

Analysis unit

• Local government units
• PCB-accredited rural health units

To become PCB-accredited, the local government unit (LGU) applies for accreditation of its rural health units (RHU) to become a provider of the PhilHealth PCB1 package. When Philippine Health Insurance Corporation (PhilHealth) approves that the RHU meets the service delivery standards of a PCB1 provider based on a review of the facilities and its staff, the accreditation is formalized with the LGU applying for accreditation and signing a Performance Commitment signifying compliance to the guidelines of the PCB1 package.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of 240 local government units (LGU) was selected by PhilHealth from PCB1-engaged LGUs that are willing to participate in the study. Randomization of LGUs was conducted at the municipality level, stratified at the regional level and then at the provincial level.

Two to three provinces were randomly chosen from each of the 14 regions included in the study. This resulted in 30 provinces, with two provinces each from 12 regions and three provinces each from 2 regions.

In each of the selected provinces, eight LGUs were selected from the list of LGUs with PCB-accredited rural health units (RHU) as of June 2013 provided by PhilHealth. In total, there were 1,120 LGUs with PCB-accredited RHUs nationwide. In provinces with less than eight municipalities/cities with PCB-accredited RHUs, the remaining LGUs were randomly sampled from another province in the same region to add up to 16 LGUs per region, except for Regions VI and VII where a total of 24 LGUs were selected for each region.

During the conduct of the baseline survey, the 240 LGUs were randomly assigned into the four treatment arms, including the control arm, stratified by province. There are therefore 60 LGUs per treatment arm, evenly spread across the regions and provinces. The assignments were only notified to the LGUs and the health facilities after the baseline survey, at the time of the orientation of the study conducted between September and November, 2014. The orientations to LGUs were attended by the Local Chief Executive, the Municipal Health Officer (usually the rural health physician in the main RHU), and the Municipal Accountant. The orientations were given by treatment arm based on treatment-specific manuals, to ensure that there was no contamination.

Mode of data collection

Face-to-face [f2f]

Research instrument

Data was collected in local government units (LGU) and rural health units (RHU) using the following survey instruments and methods:

• Interviews with key informants, including a local chief executive
• interviews with RHU physician
• RHU/health facility survey
• patient chart reviews for selected diseases
• direct observation of clinical management of patients (only in a subset of study sites)
• patient exit survey
• collection of a sample of patient health profiles.

Comparison of UK ecosystem markets and European peatland restoration markets (for additional results and discussion of each row, see S1 File).