Modelling In-Patient Bed Usage Behaviour in a Department of Geriatric Medicine

1993 ◽  
Vol 32 (01) ◽  
pp. 79-81 ◽  
Author(s):  
P. Millard ◽  
S. McClean
Keyword(s):  
Census Data ◽  
Geriatric Medicine ◽  
Temporal Trends ◽  
Exponential Model ◽  
Bed Occupancy ◽  
Lengths Of Stay ◽  
Geriatric Hospital ◽  
Using Data ◽  
Acute Patients

Abstract:The flow of patients through geriatric hospitals has been previously described in terms of acute and long-stay states where the bed occupancy at a census point is modelled by a mixed exponential model. Using data for sixteen years the model was fitted to successive annual census points, in order to provide a description of temporal trends. While the number of acute patients has remained fairly stable during the period, the model shows that there has been a decrease in the number of long-stay patients. Mean lengths of stay in our geriatric hospital before death or discharge have decreased during the study period for both acute and long-stay patients.Using these fits of the mixed exponential model to census data, a method is provided for predicting future turnover of patients. These predictions are reasonably good, except when the turnover patterns go through a period of flux in which assumption of stability no longer holds. Overall, a methodology is presented which relates census analysis to the behaviour of admission cohorts, thus producing a means of predicting future behaviour of patients and identifying where there is a change in patterns.

scholarly journals Temporal trends and variation in out-of-pocket expenditures and patient cost sharing: evidence from a Chinese national survey 2011–2015

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Vicky Mengqi Qin ◽  
Yuting Zhang ◽  
Kee Seng Chia ◽  
Barbara McPake ◽  
Yang Zhao ◽  
...  
Keyword(s):  
Prescription Drugs ◽  
Cost Sharing ◽  
Temporal Trends ◽  
Absolute Amount ◽  
Financial Protection ◽  
Patient Cost ◽  
Older Chinese ◽  
Using Data ◽  
Reported Data ◽  
The Relationship

Abstract Objectives This study aims to examine: (1) temporal trends in the percentage of cost-sharing and amount of out-of-pocket expenditure (OOPE) from 2011 to 2015; (2) factors associated with cost-sharing and OOPE; and (3) the relationships between province-level economic development and cost-sharing and OOPE in China. Setting A total of 10,316 adults aged ≥45 years from China followed-up from 2011 to 2015 were included in the analysis. We measured two main outcome variables: (1) patient cost sharing, measured by the percentage of OOPE as total healthcare expenditure, and (2) absolute amount of OOPE. Results Based on self-reported data, we did not find substantial differences in the percentage of cost sharing, but a significant increase in the absolute amount of OOPE among the middle-aged and older Chinese between 2011 and 2015. The percentage of cost-sharing was considerably higher for outpatient than inpatient care, and the majority paid more than 80% of the total cost for prescription drugs. Provinces with higher GDP per capita tend to have lower cost-sharing and a higher OOPE than their counterparts, but the relationship for OOPE became insignificant after adjusting for individual factors. Conclusion Reducing out-of-pocket expenditure and patient cost sharing is required to improve financial protection from illness, especially for those with those with chronic conditions and reside in less developed regions in China. Ongoing monitoring of financial protection using data from various sources is warranted.

The Labor Market Skills of Recent Male Immigrants: Evidence from the Current Population Survey

ILR Review ◽  
1995 ◽  
Vol 48 (4) ◽  
pp. 792-811 ◽  
Author(s):  
Edward Funkhouser ◽  
Stephen J. Trejo
Keyword(s):  
United States ◽  
Labor Market ◽  
Current Population Survey ◽  
Population Survey ◽  
Census Data ◽  
The United States ◽  
Skill Levels ◽  
Recent Immigrants ◽  
Current Population ◽  
Using Data

Using data from special supplements to the Current Population Survey (CPS), the authors track the education and hourly earnings of recent male immigrants to the United States. In terms of these measures of labor market skills, the CPS data suggest that immigrants who came in the late 1980s were more skilled than those who arrived earlier in the decade. This pattern represents a break from the steady decline in immigrant skill levels observed in 1940–80 Census data. Despite the encouraging trend over the 1980s, however, the average skills of recent immigrants remain low by historical standards.

scholarly journals Population projections for all U.S. counties by age, sex, and race controlled to the Shared Socioeconomic Pathways

2018 ◽  
Author(s):  
Mathew Hauer
Keyword(s):  
Census Data ◽  
Age Groups ◽  
The United States ◽  
Population Projections ◽  
Leslie Matrix ◽  
Ex Post ◽  
Ex Post Facto ◽  
Using Data ◽  
And Control ◽  
Cohort Change

Small area and subnational population projections are important for understanding long-term demographic changes. I provide county-level population projections by age, sex, and race in five-year intervals for the period 2015-2100 for all U.S. counties. Using historic U.S. census data in temporally rectified county boundaries and race groups for the period 1990-2015, I calculate cohort-change ratios (CCRs) and cohort-change differences (CCDs) for eighteen five-year age groups (0-85+), two sex groups (Male and Female), and four race groups (White NH, Black NH, Other NH, Hispanic) for all U.S counties. I then project these CCRs/CCDs using ARIMA models as inputs into Leslie matrix population projection models and control the projections to the Shared Socioeconomic Pathways. I validate the methods using ex-post facto evaluations using data from 1969-2000 to project 2000-2015. My results are reasonably accurate for this period. These data have numerous potential uses and can serve as inputs for addressing questions involving sub-national demographic change in the United States.

scholarly journals Temporal Trends and Recent Correlates in Sedentary Behaviors among Chinese Adults from 2002 to 2010–2012

2019 ◽  
Vol 17 (1) ◽  
pp. 158 ◽  
Author(s):  
Caicui Ding ◽  
Ganyu Feng ◽  
Fan Yuan ◽  
Weiyan Gong ◽  
Yecheng Yao ◽  
...  
Keyword(s):  
Urban Areas ◽  
Leisure Time ◽  
Sedentary Time ◽  
Temporal Trends ◽  
Physical Activities ◽  
Sedentary Behaviors ◽  
Chinese Adults ◽  
Nutrition And Health ◽  
Sociodemographic Correlates ◽  
Using Data

Evidence suggests that more time spent in sedentary behaviors (SB) increases health risk independent of physical activities. Trends in SB among adults have not been fully described in China, and the sociodemographic correlates of SB have not been systematically evaluated either. This study examined the temporal trends of SB among 184,257 adults (2002: n = 52,697, 2010–2012: n = 131,560) using data from the China National Nutrition and Health Survey in 2002 and 2010–2012, and analyzed the recent correlates of SB in Chinese adults. Overall, an increase (+0.29 h/d) was seen in total SB across the survey years, and there was a slight increase (+0.14 h/d) in leisure time SB and a decrease (−0.39 h/d) in occupational SB. From 2002 to 2012, the proportion of Chinese adults whose total SB time over 4 h/d increased from 35.4% to 43.0%, and the proportion of leisure SB time over 3 h/d increased from 42.0% to 48.0%, and the proportion of occupational SB time over 4 h/d decreased from 63.4% to 53.0%. Male, urban areas, employed, unmarried, and with higher educational and family economic level were all positively associated with high sedentary time (HST) in 2010–2012. These trends and correlates are important for health policy in China and other countries that are facing similar challenges.

The Estimation of Population Microdata by Using Data from Small Area Statistics and Samples of Anonymised Records

1998 ◽  
Vol 30 (5) ◽  
pp. 785-816 ◽  
Author(s):  
P Williamson ◽  
M Birkin ◽  
P H Rees
Keyword(s):  
Small Area ◽  
Census Data ◽  
Population Data ◽  
Combinatorial Optimisation ◽  
Population Characteristics ◽  
Test Statistics ◽  
Enumeration District ◽  
Small Area Statistics ◽  
Using Data ◽  
Combining Information

Census data can be represented both as lists and as tabulations of household/individual attributes. List representation of Census data offers greater flexibility, as the exploration of interrelationships between population characteristics is limited only by the quality and scope of the data collected. Unfortunately, the released lists of household/individual attributes (Samples of Anonymised Records, SARs) are spatially referenced only to areas (single or merged districts) with populations of 120 000 or more, whereas released tabulations are available for units as small as single enumeration districts (Small Area Statistics, SAS). Intuitively, it should be possible to derive list-based estimates of enumeration district populations by combining information contained in the SAR and the SAS. In this paper we explore the range of solutions that could be adapted to this problem which, ultimately, is presented as a complex combinatorial optimisation problem. Various techniques of combinatorial optimisation are tested, and preliminary results from the best performing algorithm are evaluated. Through this process, the lack of suitable test statistics for the comparison of observed and expected tabulations of population data is highlighted.

SOCIAL DEPRIVATION AND HAND INJURY

2007 ◽  
Vol 32 (3) ◽  
pp. 256-261 ◽  
Author(s):  
T. C. HORTON
Keyword(s):  
Census Data ◽  
Social Deprivation ◽  
Hand Surgery ◽  
Socioeconomic Deprivation ◽  
Hand Trauma ◽  
Process Of Care ◽  
Older Children ◽  
Unit Costs ◽  
Using Data ◽  
Patterns Of Injury

This study investigated the relationship between socioeconomic deprivation and the incidence, patterns of injury, process of care and outcome of hand trauma using data collected prospectively on 1,234 injuries presented during six months. The Index of Multiple Deprivation 2004 was derived from census data and postcodes. Socioeconomic deprivation is significantly associated with hand trauma. The odds ratio for suffering hand injuries in the most deprived quintile is 1.6 (SE 0.09 95% CI 1.45, 1.83) compared to the least deprived quintile. This is most marked among older children and adults. Fractures, sprains and ligament injuries showed the strongest association with the degree of deprivation. Injuries related to sport were not associated with deprivation. Surgical time utilised is greater in more deprived patients and their self reported physical outcome is worse. Hand surgery units working in areas of high socioeconomic deprivation will have higher trauma workloads and unit costs. Social deprivation may also influence physical outcomes.

scholarly journals Spatial distribution and temporal trends of leprosy in Uganda, 2012–2016: a retrospective analysis of public health surveillance data

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Freda Loy Aceng ◽  
Herman-Joseph Kawuma ◽  
Robert Majwala ◽  
Maureen Lamunu ◽  
Alex Riolexus Ario ◽  
...  
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Census Data ◽  
Temporal Trends ◽  
Northern Region ◽  
Control Measures ◽  
Population Estimates ◽  
Case Detection ◽  
Detection Rates ◽  
Leprosy Case

Abstract Background Leprosy is a neglected disease that poses a significant challenge to public health in Uganda. The disease is endemic in Uganda, with 40% of the districts in the country affected in 2016, when 42 out of 112 districts notified the National Tuberculosis and Leprosy Program (NTLP) of at least one case of leprosy. We determined the spatial and temporal trends of leprosy in Uganda during 2012–2016 to inform control measures. Methods We analyzed quarterly leprosy case-finding data, reported from districts to the Uganda National Leprosy Surveillance system (managed by NTLP) during 2012–2016. We calculated new case detection by reporting district and administrative regions of treatment during this period. New case detection was defined as new leprosy cases diagnosed by the Uganda health services divided by regional population; population estimates were based on 2014 census data. We used logistic regression analysis in Epi-Info version 7.2.0 to determine temporal trends. Population estimates were based on 2014 census data. We used QGIS software to draw choropleth maps showing leprosy case detection rates, assumed to approximate the new case detection rates, per 100,000 population. Results During 2012–2016, there was 7% annual decrease in reported leprosy cases in Uganda each year (p = 0.0001), largely driven by declines in the eastern (14%/year, p = 0.0008) and central (11%/year, p = 0.03) regions. Declines in reported cases in the western (9%/year, p = 0.12) and northern (4%/year, p = 0.16) regions were not significant. The combined new case detection rates from 2012 to 2016 for the ten most-affected districts showed that 70% were from the northern region, 20% from the eastern, 10% from the western and 10% from the central regions. Conclusion There was a decreasing trend in leprosy new case detection in Uganda during 2012–2016; however, the declining trends were not consistent in all regions. The Northern region consistently identified more leprosy cases compared to the other regions. We recommend evaluation of the leprosy surveillance system to ascertain the leprosy situation.

scholarly journals Kia kaua te reo e rite ki te moa, ka ngaro: do not let the language suffer the same fate as the moa

2020 ◽  
Vol 17 (162) ◽  
pp. 20190526
Author(s):  
Tessa Barrett-Walker ◽  
Michael J. Plank ◽  
Rachael Ka'ai-Mahuta ◽  
Daniel Hikuroa ◽  
Alex James
Keyword(s):  
New Zealand ◽  
Census Data ◽  
Initial Conditions ◽  
Endangered Languages ◽  
Endangered Language ◽  
Learning Rates ◽  
Welsh Language ◽  
Using Data

More than a third of the world's languages are currently classified as endangered and more than half are expected to go extinct by 2100. Strategies aimed at revitalizing endangered languages have been implemented in numerous countries, with varying degrees of success. Here, we develop a new model regarding language transmission by dividing the population into defined proficiency categories and dynamically quantifying transition rates between categories. The model can predict changes in proficiency levels over time and, ultimately, whether a given endangered language is on a long-term trajectory towards extinction or recovery. We calibrate the model using data from Wales and show that the model predicts that the Welsh language will thrive in the long term. We then apply the model to te reo Māori, the indigenous language of New Zealand, as a case study. Initial conditions for this model are estimated using New Zealand census data. We modify the model to describe a country, such as New Zealand, where the endangered language is associated with a particular subpopulation representing the indigenous people. We conclude that, with current learning rates, te reo Māori is on a pathway towards extinction, but identify strategies that could help restore it to an upward trajectory.

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