scholarly journals Measuring health system resource use for economic evaluation: a comparison of data sources

2002 ◽  
Vol 25 (3) ◽  
pp. 171 ◽  
Author(s):  
Christine Pollicino ◽  
Rosalie Viney ◽  
Marion Haas
Keyword(s):  
Health Insurance ◽  
Economic Evaluation ◽  
Data Collection ◽  
Health System ◽  
Resource Use ◽  
Data Sources ◽  
Administrative Database ◽  
Comprehensive Database ◽  
System Resource ◽  
Health System Resource

A key challenge for evaluators and health system planners is the identification, measurement and valuation of resource use for economic evaluation. Accurately capturing all significant resource use is particularly difficult in the Australian context where there is no comprehensive database from which researchers can draw. Evaluators and health system planners need to consider different approaches to data collection for estimating resource use for economic evaluation, and the relative merits of the different data sources available. This paper illustrates the issues that arise in using different data sources using a sub-sample of the data being collected for an economic evaluation. Specifically, it compares the use of Australia's largest administrative database on resource use, the Health Insurance Commission database, with the use of patient-supplied data. The extent of agreement and discrepancies between the two data sources is investigated. Findings from this study and recommendations as to how to deal with different data sources are presented.

scholarly journals Health system resource use among populations with complex social and behavioral needs in an urban, safety-net health system

Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 100448
Author(s):  
Nancy Garrett ◽  
Jeremy A. Bikah Bi Nguema Engoang ◽  
Stephen Rubin ◽  
Katherine Diaz Vickery ◽  
Tyler N.A. Winkelman
Keyword(s):  
Health System ◽  
Resource Use ◽  
Safety Net ◽  
Behavioral Needs ◽  
Urban Safety ◽  
System Resource ◽  
Health System Resource

Pandemic Influenza and Health System Resource Gaps in Bali

2011 ◽  
Vol 27 (2) ◽  
pp. NP713-NP733 ◽  
Author(s):  
Wiku Adisasmito ◽  
Benjamin M. Hunter ◽  
Ralf Krumkamp ◽  
Kamal Latief ◽  
James W. Rudge ◽  
...  
Keyword(s):  
Health System ◽  
Pandemic Influenza ◽  
System Resource ◽  
Health System Resource

scholarly journals Health System Resource Gaps and Associated Mortality from Pandemic Influenza across Six Asian Territories

PLoS ONE ◽  
2012 ◽  
Vol 7 (2) ◽  
pp. e31800 ◽  
Author(s):  
James W. Rudge ◽  
Piya Hanvoravongchai ◽  
Ralf Krumkamp ◽  
Irwin Chavez ◽  
Wiku Adisasmito ◽  
...  
Keyword(s):  
Health System ◽  
Pandemic Influenza ◽  
System Resource ◽  
Health System Resource

SIMBOLISASI DALAM NOVEL SANG ALKEMIS KARYA PAULO QUELHO

2019 ◽  
Vol 7 (4) ◽  
pp. 79
Author(s):  
Endang Maruti
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Old Age ◽  
Qualitative Approach ◽  
Data Sources ◽  
The Novel ◽  
Note Taking ◽  
Literature Study ◽  
Collection Method ◽  
Data Collection Method

The research aims to uncover the symbols in the novel The Alchemist and to gain knowledge about the moral teachings in the symbol. This research is descriptive qualitative approach. Data sources in this study are words, phrases or sentences in the novel Alchemist. Data collection method is a literature study method with note taking technique. Data were analyzed using description and content analysis methods. The results showed that the novel The Alchemist contained many symbols. These symbols include: (1) wise parents, who symbolize both negative and positive things. From his appearance, parents can symbolize something bad, but behind his old age he symbolizes a knowledge that is very much and wise; (2) stones that symbolize something hard, not easily broken, and can provide clues to something; and (3) deserts or deserts which can be interpreted as symbols of drought, aridity, unattractiveness, emptiness, despair, determination for ignorance, and also as symbols of devotion.  

Platform for Analysing and Encouraging Student Activity on Contest and E-learning Systems

2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Educational Policy ◽  
Learning Systems ◽  
Data Sources ◽  
Or Education ◽  
Student Activity ◽  
The World ◽  
E Learning ◽  
Analyse Data

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.

The Changing Landscape of Asian Entrepreneurship, Minority Banks, and Community Development

2011 ◽  
Vol 9 (1-2) ◽  
pp. 78-90
Author(s):  
Tarry Hum
Keyword(s):  
New York ◽  
New York City ◽  
Data Collection ◽  
Community Development ◽  
Real Estate ◽  
York City ◽  
Commercial Real Estate ◽  
Data Sources ◽  
Real Estate Development ◽  
Public Data

This policy brief examines minority banks and their lending practices in New York City. By synthesizing various public data sources, this policy brief finds that Asian banks now make up a majority of minority banks, and their loans are concentrated in commercial real estate development. This brief underscores the need for improved data collection and access to research minority banks and the need to improve their contributions to equitable community development and sustainability.

Integration of statistical and administrative agricultural data from Namibia

2021 ◽  
pp. 1-22
Author(s):  
Emily Berg ◽  
Johgho Im ◽  
Zhengyuan Zhu ◽  
Colin Lewis-Beck ◽  
Jie Li
Keyword(s):  
Measurement Error ◽  
Data Collection ◽  
Administrative Data ◽  
Statistical Data ◽  
Data Sources ◽  
Extension Programs ◽  
Multiple Data ◽  
Administrative Agencies ◽  
Crop Area ◽  
Using Data

Statistical and administrative agencies often collect information on related parameters. Discrepancies between estimates from distinct data sources can arise due to differences in definitions, reference periods, and data collection protocols. Integrating statistical data with administrative data is appealing for saving data collection costs, reducing respondent burden, and improving the coherence of estimates produced by statistical and administrative agencies. Model based techniques, such as small area estimation and measurement error models, for combining multiple data sources have benefits of transparency, reproducibility, and the ability to provide an estimated uncertainty. Issues associated with integrating statistical data with administrative data are discussed in the context of data from Namibia. The national statistical agency in Namibia produces estimates of crop area using data from probability samples. Simultaneously, the Namibia Ministry of Agriculture, Water, and Forestry obtains crop area estimates through extension programs. We illustrate the use of a structural measurement error model for the purpose of synthesizing the administrative and survey data to form a unified estimate of crop area. Limitations on the available data preclude us from conducting a genuine, thorough application. Nonetheless, our illustration of methodology holds potential use for a general practitioner.

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