Alternative Methods for Determining Resource Requirements: The Chile Example

1976 ◽  
Vol 6 (1) ◽  
pp. 123-137 ◽  
Author(s):  
William A. Reinke
Keyword(s):  
Health Services ◽  
Large Scale ◽  
Alternative Methods ◽  
Multiple Sources ◽  
Services Utilization ◽  
Interaction Detection ◽  
Convenient Approach ◽  
Resource Requirements ◽  
Sources Of Variation ◽  
Analytical Approaches

Many more or less attractive techniques have been proposed for statistical analyses involving multiple sources of variation, for example in examining the possible contributors to differential patterns of health services utilization and expenditure. A large scale investigation of such patterns among 10,000 households in Chile provided a useful basis for comparison of alternative analytical approaches. The multiple regression, Automatic Interaction Detection, and Multisort techniques were applied to the survey data separately and in combination and results were compared. The Multisort technique was found to be the single most useful and convenient approach, but the most meaningful results were obtained from the systematic application of the three approaches combined.

Nonelective hospital admissions, discharge disposition, and health services utilization in epilepsy patients: A population‐based study

Epilepsia ◽  
2020 ◽  
Vol 61 (9) ◽  
pp. 1969-1978
Author(s):  
Churl‐Su Kwon ◽  
Bonnie Wong ◽  
Parul Agarwal ◽  
Jung‐Yi Lin ◽  
Madhu Mazumdar ◽  
...  
Keyword(s):  
Health Services ◽  
Hospital Admissions ◽  
Health Services Utilization ◽  
Population Based ◽  
Population Based Study ◽  
Services Utilization ◽  
Discharge Disposition

scholarly journals Accessible Routes Integrating Data from Multiple Sources

2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Miguel R. Luaces ◽  
Jesús A. Fisteus ◽  
Luis Sánchez-Fernández ◽  
Mario Munoz-Organero ◽  
Jesús Balado ◽  
...  
Keyword(s):  
Information System ◽  
Data Model ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Multiple Sources ◽  
Heterogeneous Data Sources ◽  
Different Types ◽  
Software Sensors ◽  
The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

scholarly journals PEDRERA. Positive Energy District Renovation Model for Large Scale Actions

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2833
Author(s):  
Paolo Civiero ◽  
Jordi Pascual ◽  
Joaquim Arcas Abella ◽  
Ander Bilbao Figuero ◽  
Jaume Salom
Keyword(s):  
Simulation Model ◽  
Performance Indicators ◽  
Large Scale ◽  
Key Performance Indicators ◽  
Positive Energy ◽  
Design Phase ◽  
Multiple Sources ◽  
Reliable Prediction ◽  
Sensitive Analysis ◽  
Web Platform

In this paper, we provide a view of the ongoing PEDRERA project, whose main scope is to design a district simulation model able to set and analyze a reliable prediction of potential business scenarios on large scale retrofitting actions, and to evaluate the overall co-benefits resulting from the renovation process of a cluster of buildings. According to this purpose and to a Positive Energy Districts (PEDs) approach, the model combines systemized data—at both building and district scale—from multiple sources and domains. A sensitive analysis of 200 scenarios provided a quick perception on how results will change once inputs are defined, and how attended results will answer to stakeholders’ requirements. In order to enable a clever input analysis and to appraise wide-ranging ranks of Key Performance Indicators (KPIs) suited to each stakeholder and design phase targets, the model is currently under the implementation in the urbanZEB tool’s web platform.

scholarly journals Conducting Population Health Research during the COVID-19 Pandemic: Impacts and Recommendations

2021 ◽  
Vol 13 (6) ◽  
pp. 3320
Author(s):  
Amy R. Villarosa ◽  
Lucie M. Ramjan ◽  
Della Maneze ◽  
Ajesh George
Keyword(s):  
Data Collection ◽  
Health Services ◽  
Data Quality ◽  
Population Health ◽  
Health Research ◽  
Alternative Methods ◽  
Residential Aged Care ◽  
Recruitment Methods ◽  
Face To Face ◽  
The Impact

The COVID-19 pandemic has resulted in many changes, including restrictions on indoor gatherings and visitation to residential aged care facilities, hospitals and certain communities. Coupled with potential restrictions imposed by health services and academic institutions, these changes may significantly impact the conduct of population health research. However, the continuance of population health research is beneficial for the provision of health services and sometimes imperative. This paper discusses the impact of COVID-19 restrictions on the conduct of population health research. This discussion unveils important ethical considerations, as well as potential impacts on recruitment methods, face-to-face data collection, data quality and validity. In addition, this paper explores potential recruitment and data collection methods that could replace face-to-face methods. The discussion is accompanied by reflections on the challenges experienced by the authors in their own research at an oral health service during the COVID-19 pandemic and alternative methods that were utilised in place of face-to-face methods. This paper concludes that, although COVID-19 presents challenges to the conduct of population health research, there is a range of alternative methods to face-to-face recruitment and data collection. These alternative methods should be considered in light of project aims to ensure data quality is not compromised.

scholarly journals Does the implementation of a national oral health policy reduce inequalities in oral health services utilization? The Brazilian experience

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maria Helena Rodrigues Galvão ◽  
Angelo Giuseppe Roncalli
Keyword(s):  
Health Policy ◽  
Oral Health ◽  
Health Services ◽  
Health Services Utilization ◽  
Age Groups ◽  
Public Access ◽  
Services Utilization ◽  
Index Of Inequality ◽  
Oral Health Services ◽  
Oral Health Policy

Abstract Background This study aimed to assess the trend in income-related inequalities in oral health services utilization by the Brazilian population from 1998 to 2013. This period represents a timeline that includes different stages of implementation of the National Oral Health Policy. Methods The design was based on repeated cross-sectional surveys using secondary data from household-based studies carried out in Brazil in 1998, 2003, 2008, and 2013. The dependent variable was “having access to a dentist appointment at least once in a lifetime (yes/no).” Monthly household per capita income, based on Brazil’s minimum wage, was included as the main independent variable. To measure the inequalities in oral health access related to economic position, the following complex indexes based on regression were used: (a) the slope index of inequality (SII) and (b) the relative index of inequality (RII). Results There was a reduction in the percentage of individuals who never had a dentist appointment for all age groups and income classifications. In general, there was a reduction trend in absolute inequality for all age groups (p < 0.001). The relative inequality and reduction trend were different between the age groups studied. Conclusions The National Oral Health Policy was very important for expanding free of charge, public access to dental appointment. However, despite policy implementation, there continues to be high levels of inequality in access to dental consultation. Assessing which strategies are necessary to overcome this challenge is discussed.

scholarly journals Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions

2019 ◽  
Vol 7 ◽  
Author(s):  
Brian Stucky ◽  
James Balhoff ◽  
Narayani Barve ◽  
Vijay Barve ◽  
Laura Brenskelle ◽  
...  
Keyword(s):  
Natural History ◽  
Large Scale ◽  
Use Cases ◽  
Data Systems ◽  
Multiple Sources ◽  
History Data ◽  
Insect Ecology ◽  
Many Sources ◽  
Multicellular Organisms ◽  
Initial Results

Insects are possibly the most taxonomically and ecologically diverse class of multicellular organisms on Earth. Consequently, they provide nearly unlimited opportunities to develop and test ecological and evolutionary hypotheses. Currently, however, large-scale studies of insect ecology, behavior, and trait evolution are impeded by the difficulty in obtaining and analyzing data derived from natural history observations of insects. These data are typically highly heterogeneous and widely scattered among many sources, which makes developing robust information systems to aggregate and disseminate them a significant challenge. As a step towards this goal, we report initial results of a new effort to develop a standardized vocabulary and ontology for insect natural history data. In particular, we describe a new database of representative insect natural history data derived from multiple sources (but focused on data from specimens in biological collections), an analysis of the abstract conceptual areas required for a comprehensive ontology of insect natural history data, and a database of use cases and competency questions to guide the development of data systems for insect natural history data. We also discuss data modeling and technology-related challenges that must be overcome to implement robust integration of insect natural history data.

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