Pieter Van Baal
Datos Biográficos
| ID | 1592574 |
|---|---|
| NOMBRE | Pieter Van Baal |
| NOMBRES | Pieter |
| APELLIDO | Van Baal |
| FIRMA | VAN BAAL P |
| AFILIACIONES | Erasmus University Rotterdam |
| ORCID | 0000-0001-9913-2393 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 14 |
| TOTAL DE CITAS | 16 |
| TOTAL COMO AUTOR | 14 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2011 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2024 |
| ÍNDICE H | 2 |
Ranking Age-at-Death Distributions Using Dominance
Diverging mortality trends at different ages motivate the monitoring of lifespan inequality alongside life expectancy. Conclusions are ambiguous when life expectancy and lifespan inequality move in the same direction or when inequality measures display inconsistent trends. We propose using nonparametric dominance analysis to obtain a robust ranking of age-at-death distributions. Application to U.S. period life tables for 2006–2021 reveals that, u…
Optimizing cardiovascular disease risk screening in a low-resource setting
In Sri Lanka, CVD risk screening scenarios that used the WHO-2019 office-based risk tool, screened people above the age of 40, and lowered risk and blood pressure thresholds would likely be cost-effective, generating an additional QALY at less than half a GDP per capita
The economics of improving global infectious disease surveillance
With the global increase in population density, urbanisation, and global travel and trade, the threat of widespread outbreaks of infectious diseases has increased relentlessly, 1 as evidenced by recent examples of COVID-19 and Ebola. Further, although the most important causes of death shifted to non-communicable diseases, in some poorer parts of the world, communicable diseases remain the most important cause of death.2 Crucial in the prevention…
Improving maternal and child health in Pakistan
Introduction Pakistan is a country with high maternal and infant mortality. Several large foreign funded projects were targeted at improving maternal, neonatal and child health. The Norway-Pakistan Partnership Initiative (NPPI) was one of these projects. This study aims to evaluate whether NPPI was successful in improving access and use of skilled maternal healthcare. Methods We used data from three rounds (2009–2010, 2011–2012 and 2013–2014) of …
Estimating the costs of non-medical consumption in life-years gained for economic evaluations
Prospective impact of tobacco eradication and overweight and obesity eradication on future morbidity and health-adjusted life expectancy
BACKGROUND: Interventions that reduce morbidity, in addition to mortality, warrant prioritisation. It is important to understand the magnitude of potential morbidity and health gains from changing risk factor distributions. We quantified the impact of tobacco compared with overweight/obesity eradication on future morbidity and health-adjusted life expectancy (HALE) for the New Zealand population alive in 2011. METHODS: Business-as-usual (BAU) fut…
Health care input constraints and cost effectiveness analysis decision rules
Results of cost effectiveness analyses (CEA) studies are most useful for decision makers if they face only one constraint: the health care budget. However, in practice, decision makers wishing to use the results of CEA studies may face multiple resource constraints relating to, for instance, constraints in health care inputs such as a shortage of skilled labour. The presence of multiple resource constraints influences the decision rules of CEA an…
Forecasting differences in life expectancy by education
Forecasts of life expectancy (LE) have fuelled debates about the sustainability and dependability of pension and healthcare systems. Of relevance to these debates are inequalities in LE by education. In this paper, we present a method of forecasting LE for different educational groups within a population. As a basic framework we use the Li-Lee model that was developed to forecast mortality coherently for different groups. We adapted this model to…
Modeling and Forecasting Health Expectancy
Life expectancy continues to grow in most Western countries; however, a major remaining question is whether longer life expectancy will be associated with more or fewer life years spent with poor health. Therefore, complementing forecasts of life expectancy with forecasts of health expectancies is useful. To forecast health expectancy, an extension of the stochastic extrapolative models developed for forecasting total life expectancy could be app…
A new prevention paradox
The Dynamo-HIA Model
In Health Impact Assessment (HIA), or priority-setting for health policy, effects of risk factors (exposures) on health need to be modeled, such as with a Markov model, in which exposure influences mortality and disease incidence rates. Because many risk factors are related to a variety of chronic diseases, these Markov models potentially contain a large number of states (risk factor and disease combinations), providing a challenge both technical…
Forecasting Lifetime and Aggregate Long-term Care Spending
OBJECTIVE: The impact population aging exerts on future levels of long-term care (LTC) spending is an urgent topic in which few studies have accounted for disability trends. We forecast individual lifetime and population aggregate annual LTC spending for the Dutch 55+ population to 2030 accounting for changing disability patterns. METHODS: Three levels of (dis)ability were distinguished: none, mild, and severe. Two-part models were used to estima…
Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data
Estimates of incidence and prevalence can be obtained by combining data from GPRNs. Uncertainty in the estimates of absolute figures may lead to different rankings of diseases and, hence, should be taken into consideration when comparing disease incidences and prevalences
Mortality Risk Associated With Disability
Objectives. We assessed the association between mortality and disability and quantified the effect of disability-associated risk factors. Methods. We linked data from cross-sectional health surveys in the Netherlands to the population registry to create a large data set comprising baseline covariates and an indicator of death. We used Cox regression models to estimate the hazard ratio of disability on mortality. Results. Among men, the unadjusted…
Mortality Risk Associated With Disability
Objectives. We assessed the association between mortality and disability and quantified the effect of disability-associated risk factors. Methods. We linked data from cross-sectional health surveys in the Netherlands to the population registry to create a large data set comprising baseline covariates and an indicator of death. We used Cox regression models to estimate the hazard ratio of disability on mortality. Results. Among men, the unadjusted…
Modeling and Forecasting Health Expectancy
Life expectancy continues to grow in most Western countries; however, a major remaining question is whether longer life expectancy will be associated with more or fewer life years spent with poor health. Therefore, complementing forecasts of life expectancy with forecasts of health expectancies is useful. To forecast health expectancy, an extension of the stochastic extrapolative models developed for forecasting total life expectancy could be app…
Health care input constraints and cost effectiveness analysis decision rules
Results of cost effectiveness analyses (CEA) studies are most useful for decision makers if they face only one constraint: the health care budget. However, in practice, decision makers wishing to use the results of CEA studies may face multiple resource constraints relating to, for instance, constraints in health care inputs such as a shortage of skilled labour. The presence of multiple resource constraints influences the decision rules of CEA an…
The Dynamo-HIA Model
In Health Impact Assessment (HIA), or priority-setting for health policy, effects of risk factors (exposures) on health need to be modeled, such as with a Markov model, in which exposure influences mortality and disease incidence rates. Because many risk factors are related to a variety of chronic diseases, these Markov models potentially contain a large number of states (risk factor and disease combinations), providing a challenge both technical…
Forecasting differences in life expectancy by education
Forecasts of life expectancy (LE) have fuelled debates about the sustainability and dependability of pension and healthcare systems. Of relevance to these debates are inequalities in LE by education. In this paper, we present a method of forecasting LE for different educational groups within a population. As a basic framework we use the Li-Lee model that was developed to forecast mortality coherently for different groups. We adapted this model to…
Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data
Estimates of incidence and prevalence can be obtained by combining data from GPRNs. Uncertainty in the estimates of absolute figures may lead to different rankings of diseases and, hence, should be taken into consideration when comparing disease incidences and prevalences
Mortality Risk Associated With Disability
Objectives. We assessed the association between mortality and disability and quantified the effect of disability-associated risk factors. Methods. We linked data from cross-sectional health surveys in the Netherlands to the population registry to create a large data set comprising baseline covariates and an indicator of death. We used Cox regression models to estimate the hazard ratio of disability on mortality. Results. Among men, the unadjusted…
The Dynamo-HIA Model
In Health Impact Assessment (HIA), or priority-setting for health policy, effects of risk factors (exposures) on health need to be modeled, such as with a Markov model, in which exposure influences mortality and disease incidence rates. Because many risk factors are related to a variety of chronic diseases, these Markov models potentially contain a large number of states (risk factor and disease combinations), providing a challenge both technical…
Forecasting Lifetime and Aggregate Long-term Care Spending
OBJECTIVE: The impact population aging exerts on future levels of long-term care (LTC) spending is an urgent topic in which few studies have accounted for disability trends. We forecast individual lifetime and population aggregate annual LTC spending for the Dutch 55+ population to 2030 accounting for changing disability patterns. METHODS: Three levels of (dis)ability were distinguished: none, mild, and severe. Two-part models were used to estima…
Modeling and Forecasting Health Expectancy
Life expectancy continues to grow in most Western countries; however, a major remaining question is whether longer life expectancy will be associated with more or fewer life years spent with poor health. Therefore, complementing forecasts of life expectancy with forecasts of health expectancies is useful. To forecast health expectancy, an extension of the stochastic extrapolative models developed for forecasting total life expectancy could be app…
A new prevention paradox
Forecasting differences in life expectancy by education
Forecasts of life expectancy (LE) have fuelled debates about the sustainability and dependability of pension and healthcare systems. Of relevance to these debates are inequalities in LE by education. In this paper, we present a method of forecasting LE for different educational groups within a population. As a basic framework we use the Li-Lee model that was developed to forecast mortality coherently for different groups. We adapted this model to…
Health care input constraints and cost effectiveness analysis decision rules
Results of cost effectiveness analyses (CEA) studies are most useful for decision makers if they face only one constraint: the health care budget. However, in practice, decision makers wishing to use the results of CEA studies may face multiple resource constraints relating to, for instance, constraints in health care inputs such as a shortage of skilled labour. The presence of multiple resource constraints influences the decision rules of CEA an…
Prospective impact of tobacco eradication and overweight and obesity eradication on future morbidity and health-adjusted life expectancy
BACKGROUND: Interventions that reduce morbidity, in addition to mortality, warrant prioritisation. It is important to understand the magnitude of potential morbidity and health gains from changing risk factor distributions. We quantified the impact of tobacco compared with overweight/obesity eradication on future morbidity and health-adjusted life expectancy (HALE) for the New Zealand population alive in 2011. METHODS: Business-as-usual (BAU) fut…
The economics of improving global infectious disease surveillance
With the global increase in population density, urbanisation, and global travel and trade, the threat of widespread outbreaks of infectious diseases has increased relentlessly, 1 as evidenced by recent examples of COVID-19 and Ebola. Further, although the most important causes of death shifted to non-communicable diseases, in some poorer parts of the world, communicable diseases remain the most important cause of death.2 Crucial in the prevention…
Improving maternal and child health in Pakistan
Introduction Pakistan is a country with high maternal and infant mortality. Several large foreign funded projects were targeted at improving maternal, neonatal and child health. The Norway-Pakistan Partnership Initiative (NPPI) was one of these projects. This study aims to evaluate whether NPPI was successful in improving access and use of skilled maternal healthcare. Methods We used data from three rounds (2009–2010, 2011–2012 and 2013–2014) of …
Estimating the costs of non-medical consumption in life-years gained for economic evaluations
Optimizing cardiovascular disease risk screening in a low-resource setting
In Sri Lanka, CVD risk screening scenarios that used the WHO-2019 office-based risk tool, screened people above the age of 40, and lowered risk and blood pressure thresholds would likely be cost-effective, generating an additional QALY at less than half a GDP per capita
Ranking Age-at-Death Distributions Using Dominance
Diverging mortality trends at different ages motivate the monitoring of lifespan inequality alongside life expectancy. Conclusions are ambiguous when life expectancy and lifespan inequality move in the same direction or when inequality measures display inconsistent trends. We propose using nonparametric dominance analysis to obtain a robust ranking of age-at-death distributions. Application to U.S. period life tables for 2006–2021 reveals that, u…
Medicine (13 obras) · Environmental health (9 obras) · Population (8 obras) · Demography (7 obras) · Economics (7 obras) · Global Health Care Issues (7 obras) · Health Systems, Economic Evaluations, Quality of Life (7 obras) · Life expectancy (6 obras) · Gerontology (5 obras) · Gerontology (5 obras)