The Experts below are selected from a list of 456756 Experts worldwide ranked by ideXlab platform
Guglielmo Weber - One of the best experts on this subject based on the ideXlab platform.
-
Health Care Quality, economic ineQuality, and precautionary saving
Health Economics, 2007Co-Authors: Tullio Jappelli, Luigi Pistaferri, Guglielmo WeberAbstract:We argue that Health Care Quality has an important impact on economic ineQuality and on saving behavior. We exploit district-wide variability in Health Care Quality provided by the Italian universal public Health system to identify the effect of Quality on income ineQuality, Health ineQuality and precautionary saving. We find that in lower Quality districts there is greater income and Health dispersion and higher precautionary saving. The analysis carries important insights for the ongoing debate about the validity of the life-cycle model and interesting policy implications for the design of Health Care systems. Copyright © 2006 John Wiley & Sons, Ltd.
-
Health Care Quality, Economic IneQuality, and Precautionary Saving
2006Co-Authors: Tullio Jappelli, Luigi Pistaferri, Guglielmo WeberAbstract:We argue that Health Care Quality has an important impact on economic ineQuality and on saving behaviour. We exploit district-wide variability in Health Care Quality provided by the Italian universal public Health system to identify the effect of Quality on income ineQuality, Health ineQuality and precautionary saving. We find that in lower Quality districts there is greater income and Health dispersion and higher precautionary saving. The analysis carries important insights for the ongoing debate about the validity of the life-cycle model and interesting policy implications for the design of Health Care systems.
-
Health Care Quality and Economic IneQuality
2004Co-Authors: Tullio Jappelli, Luigi Pistaferri, Guglielmo WeberAbstract:We argue that Health Care Quality has an important impact on economic ineQuality and on saving behaviour. We exploit district-wide variability in Health Care Quality provided by the Italian universal public Health system to identify the effect of Quality on income ineQuality, Health ineQuality and precautionary saving. We find that in lower Quality districts there is greater income and Health dispersion and higher precautionary saving. The analysis carries important insights for the ongoing debate about the validity of the life-cycle model and interesting policy implications for the design of Health Care systems.
Odd Rune Straume - One of the best experts on this subject based on the ideXlab platform.
-
Patient mobility and Health Care Quality when regions and patients differ in income.
Journal of health economics, 2016Co-Authors: Kurt Richard Brekke, Rosella Levaggi, Luigi Siciliani, Odd Rune StraumeAbstract:We study the effects of cross-border patient mobility on Health Care Quality and welfare when income varies across and within regions. We use a Salop model with a high-, middle-, and low-income region. In each region, a policy maker chooses Health Care Quality to maximise the utility of its residents when Health Care costs are financed by general income taxation. In equilibrium, regions with higher income offer better Quality, which creates an incentive for patient mobility from lower- to higher-income regions. Assuming a prospective payment scheme based on DRG-pricing, we find that lower non-monetary (administrative) mobility costs have (i) no effect on Quality or welfare in the high-income region; (ii) a negative effect on Quality but a positive effect on welfare for the middle-income region; and (iii) ambiguous effects on Quality and welfare for the low-income region. Lower monetary mobility costs (copayments) might reduce welfare in both the middle- and low-income region. Thus, Health policies that stimulate cross-border patient mobility can be counterproductive when regions differ in income.
-
Patient mobility and Health Care Quality when regions and patients differ in income
2015Co-Authors: Kurt Richard Brekke, Rosella Levaggi, Luigi Siciliani, Odd Rune StraumeAbstract:This paper studies the effects of cross-border patient mobility on Health Care Quality and welfare when income varies across and within regions. We use a Salop model with a high, middle and low income region, where, in each region, a policy maker chooses the level of Health Care Quality that maximises welfare subject to costs being financed by general taxation. In equilibrium, regions with higher income offer better Quality, implying that the high (low) income region imports (exports) patients and the middle-income region both imports and exports patients. Assuming DRG-pricing, we find that a reduction in mobility costs has generally heterogeneous effects on regional Health Care Quality and welfare, with low and middle income regions being vulnerable to adverse effects of cross-border Health Care liberalisation. We also show that higher income ineQuality in a region might have negative spillover effects on Quality provision in other regions because of cross-border patient mobility.
Sherri L Lavela - One of the best experts on this subject based on the ideXlab platform.
-
Assessing the Associations of Patient-Reported Perceptions of Patient-Centered Care as Supplemental Measures of Health Care Quality in VA
Journal of General Internal Medicine, 2016Co-Authors: Bella Etingen, Scott Miskevics, Sherri L LavelaAbstract:BACKGROUND Patient-reported experience measures (PREMs) are useful for assessing Health Care Quality and safety and patients’ perceptions of Health Care.
-
Assessing the Associations of Patient-Reported Perceptions of Patient-Centered Care as Supplemental Measures of Health Care Quality in VA.
Journal of general internal medicine, 2016Co-Authors: Bella Etingen, Scott Miskevics, Sherri L LavelaAbstract:Patient-reported experience measures (PREMs) are useful for assessing Health Care Quality and safety and patients' perceptions of Health Care. We aimed to assess the relationship between PREMS [e.g., measures of patient-centered Care (PCC)] and Health Care Quality metrics. We conducted a national survey via mail. Survey data were supplemented with US Department of Veteran Affairs (VA) administrative data. Veteran (n = 5512) VA Health Care users participated in the study. PCC measures included: patient activation; shared decision-making (SDM); empathy and holistic Care; chronic illness Care; perceptions of participation, respect for choices, and support; and overall Health Care experience. Health Care Quality measures included: preventive Care screening receipt; chronic condition management (diabetes, hypertension); and Health Care utilization (hospitalizations, emergency room (ER) visits). Analyses included: bivariate comparisons of PCC measures by Health Care Quality measures; and multivariate linear regression to identify variables associated with attaining multiple positive Health Care Quality indicators (when controlling for potential confounders). PREMs assessing factors relating to patient-provider communication (e.g., empathic provider Care, shared decision-making) are mainly related to clinical indicators representing good chronic condition management, while those relating more broadly to Health Care in general (e.g., patient activation, chronic illness Care) are mainly related to measures of appropriate Health Care use (e.g., preventive Care screening receipt; potentially avoidable hospitalizations; unscheduled Care, such as ER visits). When controlling for potential confounders, higher perceptions of the decision-making effectiveness component of SDM (β = 0.004, p = 0.03) and empathy and holistic Care (β = 0.01, p = 0.02) showed a weak but positive relationship with attaining a greater number of positive Health Care Quality indicators, while a weak but negative relationship emerged for perceptions of participation, respect for choices, and support (β = -0.003, p = 0.03) and overall VA experiences (β = -0.10, p = 0.04). PREMs that measure PCC offer rich data about Health Care Quality while engaging patients, and considering patient experiences and preferences, in performance assessment. PREMs may be used to supplement existing performance metrics.
Donna M. Woods - One of the best experts on this subject based on the ideXlab platform.
-
Patient Reported Outcomes as Indicators of Pediatric Health Care Quality
Academic Pediatrics, 2014Co-Authors: Katherine B. Bevans, Jeanhee Moon, Adam C. Carle, Constance A. Mara, Jin Shei Lai, Lindsay Dimarco, Nicole Muller, Donna M. WoodsAbstract:Health Care reform has increased demand for pediatric Health Care Quality evaluations, particularly those that assess the impact of Care on patient and population Health outcomes. Many of today's most common childhood conditions are characterized by symptoms, behaviors, and functional limitations that are best assessed as patient reported outcomes (PROs). Although they remain greatly underutilized, PROs have the potential to improve pediatric Health Care Quality assessment at the point of Care and through system-level performance evaluations. The functions, benefits, and challenges of these PRO applications are described and illustrated in case examples. Although challenges remain, numerous methodological and technical innovations facilitate the use of PROs as Health Care Quality metrics. These include advances in PRO measure development methodologies, the integration of PRO measures into electronic Health records, and developing consensus among providers that PROs provide valuable information that can be used to enhance patient Care. Although additional work is needed to address remaining methodological challenges, pediatric PROs are increasingly recognized as valuable indicators of Health Care Quality in the clinical environment and as measures of organization- and provider-level performance.
Tullio Jappelli - One of the best experts on this subject based on the ideXlab platform.
-
Health Care Quality, economic ineQuality, and precautionary saving
Health Economics, 2007Co-Authors: Tullio Jappelli, Luigi Pistaferri, Guglielmo WeberAbstract:We argue that Health Care Quality has an important impact on economic ineQuality and on saving behavior. We exploit district-wide variability in Health Care Quality provided by the Italian universal public Health system to identify the effect of Quality on income ineQuality, Health ineQuality and precautionary saving. We find that in lower Quality districts there is greater income and Health dispersion and higher precautionary saving. The analysis carries important insights for the ongoing debate about the validity of the life-cycle model and interesting policy implications for the design of Health Care systems. Copyright © 2006 John Wiley & Sons, Ltd.
-
Health Care Quality, Economic IneQuality, and Precautionary Saving
2006Co-Authors: Tullio Jappelli, Luigi Pistaferri, Guglielmo WeberAbstract:We argue that Health Care Quality has an important impact on economic ineQuality and on saving behaviour. We exploit district-wide variability in Health Care Quality provided by the Italian universal public Health system to identify the effect of Quality on income ineQuality, Health ineQuality and precautionary saving. We find that in lower Quality districts there is greater income and Health dispersion and higher precautionary saving. The analysis carries important insights for the ongoing debate about the validity of the life-cycle model and interesting policy implications for the design of Health Care systems.
-
Health Care Quality and Economic IneQuality
2004Co-Authors: Tullio Jappelli, Luigi Pistaferri, Guglielmo WeberAbstract:We argue that Health Care Quality has an important impact on economic ineQuality and on saving behaviour. We exploit district-wide variability in Health Care Quality provided by the Italian universal public Health system to identify the effect of Quality on income ineQuality, Health ineQuality and precautionary saving. We find that in lower Quality districts there is greater income and Health dispersion and higher precautionary saving. The analysis carries important insights for the ongoing debate about the validity of the life-cycle model and interesting policy implications for the design of Health Care systems.
