The Experts below are selected from a list of 528615 Experts worldwide ranked by ideXlab platform
Seth Richardsshubik - One of the best experts on this subject based on the ideXlab platform.
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induced innovation and social inequality evidence from infant medical care
Journal of Human Resources, 2012Co-Authors: David M Cutler, Ellen Meara, Seth RichardsshubikAbstract:We develop a model of induced innovation that applies to medical Research. Our model yields three empirical predictions. First, initial death rates and subsequent Research Effort should be positively correlated. Second, Research Effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common conditions in the population as a whole, induced innovation leads to growth in mortality disparities between minority and majority groups. Using information on infant deaths in the United States between 1983 and 1998, we find support for all three empirical predictions.
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induced innovation and social inequality evidence from infant medical care
Social Science Research Network, 2009Co-Authors: David M Cutler, Ellen Meara, Seth RichardsshubikAbstract:We develop a model of induced innovation where Research Effort is a function of the death rate, and thus the potential to reduce deaths in the population. We also consider potential social consequences that arise from this form of induced innovation based on differences in disease prevalence across population subgroups (i.e. race). Our model yields three empirical predictions. First, initial death rates and subsequent Research Effort should be positively correlated. Second, Research Effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common conditions in the population as a whole, induced innovation leads to growth in mortality disparities between minority and majority groups. Using information on infant deaths in the U.S. between 1983 and 1998, we find support for all three empirical predictions. We estimate that induced innovation predicts about 20 percent of declines in infant mortality over this period. At the same time, innovation that occurred in response to the most common causes of death favored the majority racial group in the U.S., whites. We estimate that induced innovation contributed about one third of the rise in the black-white infant mortality ratio during our period of study.
Soili M Lehto - One of the best experts on this subject based on the ideXlab platform.
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kuopio birth cohort design of a finnish joint Research Effort for identification of environmental and lifestyle risk factors for the wellbeing of the mother and the newborn child
BMC Pregnancy and Childbirth, 2018Co-Authors: Pasi Huuskonen, Leea Keskinisula, Seppo Heinonen, Sari Voutilainen, Tomipekka Tuomainen, Juha Pekkanen, Jussi Lampi, Soili M LehtoAbstract:A Finnish joint Research Effort Kuopio Birth Cohort (KuBiCo) seeks to evaluate the effects of genetics, epigenetics and different risk factors (medication, nutrition, lifestyle factors and environmental aspects) during pregnancy on the somatic and psychological health status of the mother and the child. KuBiCo will ultimately include information on 10,000 mother-child pairs who have given their informed consent to participate in this cohort. Identification of foetal health risk factors that can potentially later manifest as disease requires a repository of relevant biological samples and a flexible open up-to-date data handling system to register, store and analyse biological, clinical and questionnaire-based data. KuBiCo includes coded questionnaire-based maternal background data gathered before, during and after the pregnancy and bio-banking of maternal and foetal samples that will be stored in deep freezers. Data from the questionnaires and biological samples will be collected into one electronic database. KuBiCo consists of several work packages which are complementary to each other: Maternal, foetal and placental metabolism and omics; Paediatrics; Mental wellbeing; Prenatal period and delivery; Analgesics and anaesthetics during peripartum period; Environmental effects; Nutrition; and Research ethics. This report describes the set-up of the KuBiCo and descriptive analysis from 3532 parturients on response frequencies and feedback to KuBiCo questionnaires gathered from June 2012 to April 2016. Additionally, we describe basic demographic data of the participants (n = 1172). Based on the comparison of demographic data between official national statistics and our descriptive analysis, KuBiCo represents a cross-section of Finnish pregnant women.
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Kuopio birth cohort – design of a Finnish joint Research Effort for identification of environmental and lifestyle risk factors for the wellbeing of the mother and the newborn child
BMC Pregnancy and Childbirth, 2018Co-Authors: Pasi Huuskonen, Seppo Heinonen, Sari Voutilainen, Tomipekka Tuomainen, Juha Pekkanen, Jussi Lampi, Soili M Lehto, Leea Keski-nisula, Hannariikka Haaparanta, Antti-pekka ElomaaAbstract:Background A Finnish joint Research Effort Kuopio Birth Cohort (KuBiCo) seeks to evaluate the effects of genetics, epigenetics and different risk factors (medication, nutrition, lifestyle factors and environmental aspects) during pregnancy on the somatic and psychological health status of the mother and the child. Methods KuBiCo will ultimately include information on 10,000 mother-child pairs who have given their informed consent to participate in this cohort. Identification of foetal health risk factors that can potentially later manifest as disease requires a repository of relevant biological samples and a flexible open up-to-date data handling system to register, store and analyse biological, clinical and questionnaire-based data. KuBiCo includes coded questionnaire-based maternal background data gathered before, during and after the pregnancy and bio-banking of maternal and foetal samples that will be stored in deep freezers. Data from the questionnaires and biological samples will be collected into one electronic database. KuBiCo consists of several work packages which are complementary to each other: Maternal, foetal and placental metabolism and omics; Paediatrics; Mental wellbeing; Prenatal period and delivery; Analgesics and anaesthetics during peripartum period; Environmental effects; Nutrition; and Research ethics. Discussion This report describes the set-up of the KuBiCo and descriptive analysis from 3532 parturients on response frequencies and feedback to KuBiCo questionnaires gathered from June 2012 to April 2016. Additionally, we describe basic demographic data of the participants ( n = 1172). Based on the comparison of demographic data between official national statistics and our descriptive analysis, KuBiCo represents a cross-section of Finnish pregnant women.
David M Cutler - One of the best experts on this subject based on the ideXlab platform.
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induced innovation and social inequality evidence from infant medical care
Journal of Human Resources, 2012Co-Authors: David M Cutler, Ellen Meara, Seth RichardsshubikAbstract:We develop a model of induced innovation that applies to medical Research. Our model yields three empirical predictions. First, initial death rates and subsequent Research Effort should be positively correlated. Second, Research Effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common conditions in the population as a whole, induced innovation leads to growth in mortality disparities between minority and majority groups. Using information on infant deaths in the United States between 1983 and 1998, we find support for all three empirical predictions.
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induced innovation and social inequality evidence from infant medical care
Social Science Research Network, 2009Co-Authors: David M Cutler, Ellen Meara, Seth RichardsshubikAbstract:We develop a model of induced innovation where Research Effort is a function of the death rate, and thus the potential to reduce deaths in the population. We also consider potential social consequences that arise from this form of induced innovation based on differences in disease prevalence across population subgroups (i.e. race). Our model yields three empirical predictions. First, initial death rates and subsequent Research Effort should be positively correlated. Second, Research Effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common conditions in the population as a whole, induced innovation leads to growth in mortality disparities between minority and majority groups. Using information on infant deaths in the U.S. between 1983 and 1998, we find support for all three empirical predictions. We estimate that induced innovation predicts about 20 percent of declines in infant mortality over this period. At the same time, innovation that occurred in response to the most common causes of death favored the majority racial group in the U.S., whites. We estimate that induced innovation contributed about one third of the rise in the black-white infant mortality ratio during our period of study.
Juha Pekkanen - One of the best experts on this subject based on the ideXlab platform.
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kuopio birth cohort design of a finnish joint Research Effort for identification of environmental and lifestyle risk factors for the wellbeing of the mother and the newborn child
BMC Pregnancy and Childbirth, 2018Co-Authors: Pasi Huuskonen, Leea Keskinisula, Seppo Heinonen, Sari Voutilainen, Tomipekka Tuomainen, Juha Pekkanen, Jussi Lampi, Soili M LehtoAbstract:A Finnish joint Research Effort Kuopio Birth Cohort (KuBiCo) seeks to evaluate the effects of genetics, epigenetics and different risk factors (medication, nutrition, lifestyle factors and environmental aspects) during pregnancy on the somatic and psychological health status of the mother and the child. KuBiCo will ultimately include information on 10,000 mother-child pairs who have given their informed consent to participate in this cohort. Identification of foetal health risk factors that can potentially later manifest as disease requires a repository of relevant biological samples and a flexible open up-to-date data handling system to register, store and analyse biological, clinical and questionnaire-based data. KuBiCo includes coded questionnaire-based maternal background data gathered before, during and after the pregnancy and bio-banking of maternal and foetal samples that will be stored in deep freezers. Data from the questionnaires and biological samples will be collected into one electronic database. KuBiCo consists of several work packages which are complementary to each other: Maternal, foetal and placental metabolism and omics; Paediatrics; Mental wellbeing; Prenatal period and delivery; Analgesics and anaesthetics during peripartum period; Environmental effects; Nutrition; and Research ethics. This report describes the set-up of the KuBiCo and descriptive analysis from 3532 parturients on response frequencies and feedback to KuBiCo questionnaires gathered from June 2012 to April 2016. Additionally, we describe basic demographic data of the participants (n = 1172). Based on the comparison of demographic data between official national statistics and our descriptive analysis, KuBiCo represents a cross-section of Finnish pregnant women.
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Kuopio birth cohort – design of a Finnish joint Research Effort for identification of environmental and lifestyle risk factors for the wellbeing of the mother and the newborn child
BMC Pregnancy and Childbirth, 2018Co-Authors: Pasi Huuskonen, Seppo Heinonen, Sari Voutilainen, Tomipekka Tuomainen, Juha Pekkanen, Jussi Lampi, Soili M Lehto, Leea Keski-nisula, Hannariikka Haaparanta, Antti-pekka ElomaaAbstract:Background A Finnish joint Research Effort Kuopio Birth Cohort (KuBiCo) seeks to evaluate the effects of genetics, epigenetics and different risk factors (medication, nutrition, lifestyle factors and environmental aspects) during pregnancy on the somatic and psychological health status of the mother and the child. Methods KuBiCo will ultimately include information on 10,000 mother-child pairs who have given their informed consent to participate in this cohort. Identification of foetal health risk factors that can potentially later manifest as disease requires a repository of relevant biological samples and a flexible open up-to-date data handling system to register, store and analyse biological, clinical and questionnaire-based data. KuBiCo includes coded questionnaire-based maternal background data gathered before, during and after the pregnancy and bio-banking of maternal and foetal samples that will be stored in deep freezers. Data from the questionnaires and biological samples will be collected into one electronic database. KuBiCo consists of several work packages which are complementary to each other: Maternal, foetal and placental metabolism and omics; Paediatrics; Mental wellbeing; Prenatal period and delivery; Analgesics and anaesthetics during peripartum period; Environmental effects; Nutrition; and Research ethics. Discussion This report describes the set-up of the KuBiCo and descriptive analysis from 3532 parturients on response frequencies and feedback to KuBiCo questionnaires gathered from June 2012 to April 2016. Additionally, we describe basic demographic data of the participants ( n = 1172). Based on the comparison of demographic data between official national statistics and our descriptive analysis, KuBiCo represents a cross-section of Finnish pregnant women.
Pasi Huuskonen - One of the best experts on this subject based on the ideXlab platform.
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kuopio birth cohort design of a finnish joint Research Effort for identification of environmental and lifestyle risk factors for the wellbeing of the mother and the newborn child
BMC Pregnancy and Childbirth, 2018Co-Authors: Pasi Huuskonen, Leea Keskinisula, Seppo Heinonen, Sari Voutilainen, Tomipekka Tuomainen, Juha Pekkanen, Jussi Lampi, Soili M LehtoAbstract:A Finnish joint Research Effort Kuopio Birth Cohort (KuBiCo) seeks to evaluate the effects of genetics, epigenetics and different risk factors (medication, nutrition, lifestyle factors and environmental aspects) during pregnancy on the somatic and psychological health status of the mother and the child. KuBiCo will ultimately include information on 10,000 mother-child pairs who have given their informed consent to participate in this cohort. Identification of foetal health risk factors that can potentially later manifest as disease requires a repository of relevant biological samples and a flexible open up-to-date data handling system to register, store and analyse biological, clinical and questionnaire-based data. KuBiCo includes coded questionnaire-based maternal background data gathered before, during and after the pregnancy and bio-banking of maternal and foetal samples that will be stored in deep freezers. Data from the questionnaires and biological samples will be collected into one electronic database. KuBiCo consists of several work packages which are complementary to each other: Maternal, foetal and placental metabolism and omics; Paediatrics; Mental wellbeing; Prenatal period and delivery; Analgesics and anaesthetics during peripartum period; Environmental effects; Nutrition; and Research ethics. This report describes the set-up of the KuBiCo and descriptive analysis from 3532 parturients on response frequencies and feedback to KuBiCo questionnaires gathered from June 2012 to April 2016. Additionally, we describe basic demographic data of the participants (n = 1172). Based on the comparison of demographic data between official national statistics and our descriptive analysis, KuBiCo represents a cross-section of Finnish pregnant women.
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Kuopio birth cohort – design of a Finnish joint Research Effort for identification of environmental and lifestyle risk factors for the wellbeing of the mother and the newborn child
BMC Pregnancy and Childbirth, 2018Co-Authors: Pasi Huuskonen, Seppo Heinonen, Sari Voutilainen, Tomipekka Tuomainen, Juha Pekkanen, Jussi Lampi, Soili M Lehto, Leea Keski-nisula, Hannariikka Haaparanta, Antti-pekka ElomaaAbstract:Background A Finnish joint Research Effort Kuopio Birth Cohort (KuBiCo) seeks to evaluate the effects of genetics, epigenetics and different risk factors (medication, nutrition, lifestyle factors and environmental aspects) during pregnancy on the somatic and psychological health status of the mother and the child. Methods KuBiCo will ultimately include information on 10,000 mother-child pairs who have given their informed consent to participate in this cohort. Identification of foetal health risk factors that can potentially later manifest as disease requires a repository of relevant biological samples and a flexible open up-to-date data handling system to register, store and analyse biological, clinical and questionnaire-based data. KuBiCo includes coded questionnaire-based maternal background data gathered before, during and after the pregnancy and bio-banking of maternal and foetal samples that will be stored in deep freezers. Data from the questionnaires and biological samples will be collected into one electronic database. KuBiCo consists of several work packages which are complementary to each other: Maternal, foetal and placental metabolism and omics; Paediatrics; Mental wellbeing; Prenatal period and delivery; Analgesics and anaesthetics during peripartum period; Environmental effects; Nutrition; and Research ethics. Discussion This report describes the set-up of the KuBiCo and descriptive analysis from 3532 parturients on response frequencies and feedback to KuBiCo questionnaires gathered from June 2012 to April 2016. Additionally, we describe basic demographic data of the participants ( n = 1172). Based on the comparison of demographic data between official national statistics and our descriptive analysis, KuBiCo represents a cross-section of Finnish pregnant women.
