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Sigridur Gunnarsdottir - One of the best experts on this subject based on the ideXlab platform.
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Gender differences in chronic pain related Health Care Utilization
Scandinavian Journal of Pain, 2015Co-Authors: T. Jonsdottir, Helga Jónsdóttir, Sigridur GunnarsdottirAbstract:AbstractAimsTo investigate predictors for Health-Care Utilization for chronic pain and whether there are gender differences in variables predicting chronic pain-related Health Care Utilization.MethodsA postal questionnaire measuring socio-demographic variables, pain characteristics, Health related quality of life (HRQoL) and pain related Health Care Utilization, was sent to a sample of 4500 individuals randomly drawn from the national population of Iceland. The relationships between socio-demographic and pain related variables and pain related Health Care Utilization among participants reporting chronic pain (≥3 months) were tested by using bivariate and multivariate statistical analysis.ResultsThe prevalence of chronic pain among respondents was 47.5%. Among participants reporting chronic pain, 53.2% had consulted a Health Care provider for pain during the previous six months.Predictors for pain related Health Care Utilization were pain interference with daily life and pain pattern (daily pain) as well as physical components of HRQoL. Even though Health Care Utilization was not related to gender, there were gender differences in pain-related predictors for Health Care Utilization. Interference with daily life and pain pattern were the strongest predictors among women, but interference with life and the physical components of HRQoL were the strongest predictors for men. Pain related Health Care Utilization was not related to socio-demographic variables.ConclusionsPain related variables are better predictors of chronic pain related Health Care Utilization than socio-demographics. Even though gender does not predict chronic pain-related Health Care Utilization, there are gender differences in the relationships between pain-related variables and Health Care Utilization. These gender differences warrant further exploration.
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Predictors for chronic pain-related Health Care Utilization: a cross-sectional nationwide study in Iceland
Health expectations : an international journal of public participation in health care and health policy, 2014Co-Authors: T. Jonsdottir, Helga Jónsdóttir, Eirikur Lindal, Gudmundur Kristjan Oskarsson, Sigridur GunnarsdottirAbstract:Background Individuals with chronic pain are among the most frequent users of Health Care. Still, a significant percentage does not utilize Health Care for pain. A range of factors predict chronic pain-related Health Care Utilization. Design A cross-sectional study aimed at identifying predictors of chronic pain-related Health Care Utilization and comparing predictors between men and women. Methods A postal questionnaire measuring sociodemographic variables, pain characteristics, Health-related quality of life (HRQoL) and pain-related Health Care Utilization, was sent to a sample of 4500 individuals randomly drawn from the national population of Iceland. The relationships between sociodemographic and pain-related factors and pain-related Health Care Utilization among participants reporting chronic pain (≥3 months) were tested by using bivariate and multivariate statistical analysis. Results Among participants reporting chronic pain, 53.2% had consulted a Health Care provider for pain during the previous 6 months. Predictors for chronic pain-related Health Care Utilization differed between men and women. Interference with life and pain pattern was the strongest predictors among women, as compared with interference with life and the physical components of HRQoL for men. Pain-related Health Care Utilization was not linked to sociodemographic factors. Conclusions Pain-related variables are better predictors of chronic pain-related Health Care Utilization than sociodemographic factors. Even though gender does not predict chronic pain-related Health Care Utilization, there are gender differences in the relationships between pain-related variables and Health Care Utilization. Men tend to postpone Health Care consultations for chronic pain longer than women.
T. Jonsdottir - One of the best experts on this subject based on the ideXlab platform.
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Gender differences in chronic pain related Health Care Utilization
Scandinavian Journal of Pain, 2015Co-Authors: T. Jonsdottir, Helga Jónsdóttir, Sigridur GunnarsdottirAbstract:AbstractAimsTo investigate predictors for Health-Care Utilization for chronic pain and whether there are gender differences in variables predicting chronic pain-related Health Care Utilization.MethodsA postal questionnaire measuring socio-demographic variables, pain characteristics, Health related quality of life (HRQoL) and pain related Health Care Utilization, was sent to a sample of 4500 individuals randomly drawn from the national population of Iceland. The relationships between socio-demographic and pain related variables and pain related Health Care Utilization among participants reporting chronic pain (≥3 months) were tested by using bivariate and multivariate statistical analysis.ResultsThe prevalence of chronic pain among respondents was 47.5%. Among participants reporting chronic pain, 53.2% had consulted a Health Care provider for pain during the previous six months.Predictors for pain related Health Care Utilization were pain interference with daily life and pain pattern (daily pain) as well as physical components of HRQoL. Even though Health Care Utilization was not related to gender, there were gender differences in pain-related predictors for Health Care Utilization. Interference with daily life and pain pattern were the strongest predictors among women, but interference with life and the physical components of HRQoL were the strongest predictors for men. Pain related Health Care Utilization was not related to socio-demographic variables.ConclusionsPain related variables are better predictors of chronic pain related Health Care Utilization than socio-demographics. Even though gender does not predict chronic pain-related Health Care Utilization, there are gender differences in the relationships between pain-related variables and Health Care Utilization. These gender differences warrant further exploration.
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Predictors for chronic pain-related Health Care Utilization: a cross-sectional nationwide study in Iceland
Health expectations : an international journal of public participation in health care and health policy, 2014Co-Authors: T. Jonsdottir, Helga Jónsdóttir, Eirikur Lindal, Gudmundur Kristjan Oskarsson, Sigridur GunnarsdottirAbstract:Background Individuals with chronic pain are among the most frequent users of Health Care. Still, a significant percentage does not utilize Health Care for pain. A range of factors predict chronic pain-related Health Care Utilization. Design A cross-sectional study aimed at identifying predictors of chronic pain-related Health Care Utilization and comparing predictors between men and women. Methods A postal questionnaire measuring sociodemographic variables, pain characteristics, Health-related quality of life (HRQoL) and pain-related Health Care Utilization, was sent to a sample of 4500 individuals randomly drawn from the national population of Iceland. The relationships between sociodemographic and pain-related factors and pain-related Health Care Utilization among participants reporting chronic pain (≥3 months) were tested by using bivariate and multivariate statistical analysis. Results Among participants reporting chronic pain, 53.2% had consulted a Health Care provider for pain during the previous 6 months. Predictors for chronic pain-related Health Care Utilization differed between men and women. Interference with life and pain pattern was the strongest predictors among women, as compared with interference with life and the physical components of HRQoL for men. Pain-related Health Care Utilization was not linked to sociodemographic factors. Conclusions Pain-related variables are better predictors of chronic pain-related Health Care Utilization than sociodemographic factors. Even though gender does not predict chronic pain-related Health Care Utilization, there are gender differences in the relationships between pain-related variables and Health Care Utilization. Men tend to postpone Health Care consultations for chronic pain longer than women.
Helga Jónsdóttir - One of the best experts on this subject based on the ideXlab platform.
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Gender differences in chronic pain related Health Care Utilization
Scandinavian Journal of Pain, 2015Co-Authors: T. Jonsdottir, Helga Jónsdóttir, Sigridur GunnarsdottirAbstract:AbstractAimsTo investigate predictors for Health-Care Utilization for chronic pain and whether there are gender differences in variables predicting chronic pain-related Health Care Utilization.MethodsA postal questionnaire measuring socio-demographic variables, pain characteristics, Health related quality of life (HRQoL) and pain related Health Care Utilization, was sent to a sample of 4500 individuals randomly drawn from the national population of Iceland. The relationships between socio-demographic and pain related variables and pain related Health Care Utilization among participants reporting chronic pain (≥3 months) were tested by using bivariate and multivariate statistical analysis.ResultsThe prevalence of chronic pain among respondents was 47.5%. Among participants reporting chronic pain, 53.2% had consulted a Health Care provider for pain during the previous six months.Predictors for pain related Health Care Utilization were pain interference with daily life and pain pattern (daily pain) as well as physical components of HRQoL. Even though Health Care Utilization was not related to gender, there were gender differences in pain-related predictors for Health Care Utilization. Interference with daily life and pain pattern were the strongest predictors among women, but interference with life and the physical components of HRQoL were the strongest predictors for men. Pain related Health Care Utilization was not related to socio-demographic variables.ConclusionsPain related variables are better predictors of chronic pain related Health Care Utilization than socio-demographics. Even though gender does not predict chronic pain-related Health Care Utilization, there are gender differences in the relationships between pain-related variables and Health Care Utilization. These gender differences warrant further exploration.
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Predictors for chronic pain-related Health Care Utilization: a cross-sectional nationwide study in Iceland
Health expectations : an international journal of public participation in health care and health policy, 2014Co-Authors: T. Jonsdottir, Helga Jónsdóttir, Eirikur Lindal, Gudmundur Kristjan Oskarsson, Sigridur GunnarsdottirAbstract:Background Individuals with chronic pain are among the most frequent users of Health Care. Still, a significant percentage does not utilize Health Care for pain. A range of factors predict chronic pain-related Health Care Utilization. Design A cross-sectional study aimed at identifying predictors of chronic pain-related Health Care Utilization and comparing predictors between men and women. Methods A postal questionnaire measuring sociodemographic variables, pain characteristics, Health-related quality of life (HRQoL) and pain-related Health Care Utilization, was sent to a sample of 4500 individuals randomly drawn from the national population of Iceland. The relationships between sociodemographic and pain-related factors and pain-related Health Care Utilization among participants reporting chronic pain (≥3 months) were tested by using bivariate and multivariate statistical analysis. Results Among participants reporting chronic pain, 53.2% had consulted a Health Care provider for pain during the previous 6 months. Predictors for chronic pain-related Health Care Utilization differed between men and women. Interference with life and pain pattern was the strongest predictors among women, as compared with interference with life and the physical components of HRQoL for men. Pain-related Health Care Utilization was not linked to sociodemographic factors. Conclusions Pain-related variables are better predictors of chronic pain-related Health Care Utilization than sociodemographic factors. Even though gender does not predict chronic pain-related Health Care Utilization, there are gender differences in the relationships between pain-related variables and Health Care Utilization. Men tend to postpone Health Care consultations for chronic pain longer than women.
Daria Vigani - One of the best experts on this subject based on the ideXlab platform.
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Health Care Utilization at retirement: The role of the opportunity cost of time
Health economics, 2018Co-Authors: Claudio Lucifora, Daria ViganiAbstract:We investigate the causal impact of retirement on Health Care Utilization using SHARE data for 10 European countries. We show that the number of doctor's visits and the probability of visiting a doctor more than four times a year (our measures of Health Care Utilization) increase after retirement. The increase in Health Care Utilization is found to depend mainly on the years spent in retirement, suggesting that adjustment may take time. We find evidence of heterogeneous effects by gender and across different patterns of time use prior to retirement (i.e., working long hours and combined work and out-of-work activities). Overall, the empirical findings suggest that the increase in Health Care Utilization is consistent with the decrease in the opportunity cost of time faced by individuals when they retire.
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Is there a Retirement-Health Care Utilization puzzle? Evidence from SHARE data in Europe.
2016Co-Authors: Eve Caroli, Claudio Lucifora, Daria ViganiAbstract:We investigate the causal impact of retirement on Health Care Utilization. Using SHARE data (from 2004 to 2013) for 10 European countries, we show that Health Care Utilization increases when individuals retire. This is true both for the number of doctor’s visits and for the intensity of medical Care use (defined as the probability of going more than 4 times a year to the doctor’s). This increase turns out to be driven by visits to general practitioners’, while specialists’ visits are not affected. We also find that the impact of retirement on Health Care Utilization is significantly stronger for workers retiring from jobs characterized by long hours worked - more than 48 hours a week and/or being in the 5th quintile of the distribution of hours worked. This suggests that at least part of the increase in medical Care use following retirement is due to the decrease in the opportunity cost of time faced by individuals when they retire.
Shih Chieh Wang - One of the best experts on this subject based on the ideXlab platform.
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Health Care Utilization and Health outcomes: a population study of Taiwan
Health policy and planning, 2012Co-Authors: Shi-yi Wang, Li-kuei Chen, Sylvia H. Hsu, Shih Chieh WangAbstract:Facing escalating Health Care expenditures, the governments of countries with national Health insurance programs are trying to control or even to reduce Health Care Utilization. Little research has examined the effects of decreased Health Care Utilization on Health outcomes. Applying a natural experiment design to the Taiwan population between 2000 and 2004, which includes the 2003 SARS epidemic when an average 20% decline in Health Care Utilization occurred, this study examines the association between a decline in Health Care Utilization and Health outcomes measured by cause-specific mortality rates. We analyse the monthly mortality rates caused by infectious diseases, cancer, diabetes mellitus, nervous system diseases, cerebrovascular diseases, heart and other vascular diseases, respiratory system diseases, digestive system diseases, genitourinary system diseases and accidents. Models control for age, sex, month and year effects. Results show the heterogeneous effect of reduced Health Care Utilization on Health outcomes. Patients with diabetes mellitus or cerebrovascular diseases are vulnerable to short-term reductions in Health Care; compared with the non-SARS period, mortality caused by diabetes mellitus and cerebrovascular diseases significantly increased during the SARS epidemic by 8.4% and 6.2%, respectively. No significant change in mortality rates caused by the other diseases or accidents is found. This study suggests that governments of countries where Health Care Utilization and spending are similar to or inferior to those in Taiwan should Carefully evaluate the impact of policies that attempt to reduce Health Care Utilization. Furthermore, when an area encounters an epidemic, governments should be aware of the negative consequences of voluntary restraints on access to Health Care that accompany decreases in Utilization.
