T. Matsuda, J. Mccombs, I. Tonnu-Mihara, J. McGinnis, D. Fox
Abstract Background: The high cost of new hepatitis C (HCV) treatments has resulted in “watchful waiting” strategies being developed to safely delay treatment, which will in turn delay viral load suppression (VLS). Objective: To document if delayed VLS adversely impacted patient risk for adverse events and death. Methods: 187,860 patients were selected from the Veterans Administration’s (VA) clinical registry (CCR), a longitudinal compilation of electronic medical records (EMR) data for 1999–2010. Inclusion criteria required at least 6 months of CCR/EMR data prior to their HCV diagnosis and sufficient data post-diagnosis to calculate one or more FIB-4 scores. Primary outcome measures were time-to-death and time-to-a composite of liver-related clinical events. Cox proportional hazards models were estimated separately using three critical FIB-4 levels to define early and late viral response. Results: Achieving an undetectable viral load before the patient’s FIB-4 level exceed pre-specified critical values (1.00, 1.45 and 3.25) effectively reduced the risk of an adverse clinical events by 33–35% and death by 21–26%. However, achieving VLS after FIB-4 exceeds 3.25 significantly reduced the benefit of viral response. Conclusions: Delaying VLS until FIB-4 >3.25 reduces the benefits of VLS in reducing patient risk.
{"title":"The Impact of Delayed Hepatitis C Viral Load Suppression on Patient Risk: Historical Evidence from the Veterans Administration","authors":"T. Matsuda, J. Mccombs, I. Tonnu-Mihara, J. McGinnis, D. Fox","doi":"10.1515/fhep-2015-0041","DOIUrl":"https://doi.org/10.1515/fhep-2015-0041","url":null,"abstract":"Abstract Background: The high cost of new hepatitis C (HCV) treatments has resulted in “watchful waiting” strategies being developed to safely delay treatment, which will in turn delay viral load suppression (VLS). Objective: To document if delayed VLS adversely impacted patient risk for adverse events and death. Methods: 187,860 patients were selected from the Veterans Administration’s (VA) clinical registry (CCR), a longitudinal compilation of electronic medical records (EMR) data for 1999–2010. Inclusion criteria required at least 6 months of CCR/EMR data prior to their HCV diagnosis and sufficient data post-diagnosis to calculate one or more FIB-4 scores. Primary outcome measures were time-to-death and time-to-a composite of liver-related clinical events. Cox proportional hazards models were estimated separately using three critical FIB-4 levels to define early and late viral response. Results: Achieving an undetectable viral load before the patient’s FIB-4 level exceed pre-specified critical values (1.00, 1.45 and 3.25) effectively reduced the risk of an adverse clinical events by 33–35% and death by 21–26%. However, achieving VLS after FIB-4 exceeds 3.25 significantly reduced the benefit of viral response. Conclusions: Delaying VLS until FIB-4 >3.25 reduces the benefits of VLS in reducing patient risk.","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"12 1","pages":"333 - 351"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85676893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Seabury, D. Goldman, Charu N. Gupta, Z. Khan, A. Chandra, T. Philipson, D. Lakdawalla
Abstract Introduction: There have been significant improvements in both treatment and screening efforts for many types of cancer over the past decade. However, the effect of these advancements on the survival of cancer patients is unknown, and many question the value of both new treatments and screening efforts. Methods: This study uses a retrospective analysis of SEER Registry data to quantify reductions in mortality rates for cancer patients diagnosed between 1997 and 2007. Using variation in trends in mortality rates by stage of diagnosis across cancer types, we use logistic regression to decompose separate survival gains into those attributable to advances in treatment versus advances in detection. We estimate the gains in survival due to gains in both treatment and detection overall and separately for 15 of the most common cancer types. Results: We estimate that 3-year cancer-related mortality of cancer patients fell 16.7% from 1997 to 2007. Overall, advances in treatment reduced mortality rates by approximately 12.2% while advances in early detection reduced mortality rates by 4.5%. The relative importance of treatment and detection varied across cancer types. Improvements in detection were most important for thyroid, prostate and kidney cancer. Improvements in treatment were most important for non-Hodgkins lymphoma, lung cancer and myeloma. Conclusion: Both improved treatment options and better early detection have led to significant survival gains for cancer patients diagnosed from 1997 to 2007, generating considerable social value over this time period.
{"title":"Quantifying Gains in the War on Cancer Due to Improved Treatment and Earlier Detection","authors":"S. Seabury, D. Goldman, Charu N. Gupta, Z. Khan, A. Chandra, T. Philipson, D. Lakdawalla","doi":"10.1515/fhep-2015-0028","DOIUrl":"https://doi.org/10.1515/fhep-2015-0028","url":null,"abstract":"Abstract Introduction: There have been significant improvements in both treatment and screening efforts for many types of cancer over the past decade. However, the effect of these advancements on the survival of cancer patients is unknown, and many question the value of both new treatments and screening efforts. Methods: This study uses a retrospective analysis of SEER Registry data to quantify reductions in mortality rates for cancer patients diagnosed between 1997 and 2007. Using variation in trends in mortality rates by stage of diagnosis across cancer types, we use logistic regression to decompose separate survival gains into those attributable to advances in treatment versus advances in detection. We estimate the gains in survival due to gains in both treatment and detection overall and separately for 15 of the most common cancer types. Results: We estimate that 3-year cancer-related mortality of cancer patients fell 16.7% from 1997 to 2007. Overall, advances in treatment reduced mortality rates by approximately 12.2% while advances in early detection reduced mortality rates by 4.5%. The relative importance of treatment and detection varied across cancer types. Improvements in detection were most important for thyroid, prostate and kidney cancer. Improvements in treatment were most important for non-Hodgkins lymphoma, lung cancer and myeloma. Conclusion: Both improved treatment options and better early detection have led to significant survival gains for cancer patients diagnosed from 1997 to 2007, generating considerable social value over this time period.","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"17 1","pages":"141 - 156"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72585464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Motivated by current topics in health economics, we apply the theory of salience to consumer policy. If a government intends to encourage healthier diets without harming consumers by raising taxes, it could initiate information campaigns which focus consumers’ attention either on the healthiness of one item or the unhealthiness of the other item. According to our approach, both campaigns work, but it is more efficient to proclaim the unhealthiness of one product in order to present it as a “ bad.” Our findings imply that comparative advertisement is particularly efficient for entrant firms into established markets.
{"title":"Salience and Health Campaigns","authors":"Markus Dertwinkel-Kalt","doi":"10.1515/fhep-2014-0019","DOIUrl":"https://doi.org/10.1515/fhep-2014-0019","url":null,"abstract":"Abstract Motivated by current topics in health economics, we apply the theory of salience to consumer policy. If a government intends to encourage healthier diets without harming consumers by raising taxes, it could initiate information campaigns which focus consumers’ attention either on the healthiness of one item or the unhealthiness of the other item. According to our approach, both campaigns work, but it is more efficient to proclaim the unhealthiness of one product in order to present it as a “ bad.” Our findings imply that comparative advertisement is particularly efficient for entrant firms into established markets.","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"538 1","pages":"1 - 22"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77908348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Typically, research on the effect of ownership has considered health care providers in isolation of competitive interaction from other firms. This analysis considers how the selection of Medicare reimbursement codes for skilled nursing facilities varies by ownership and is influenced by the competitive spillovers from market dominance of for-profit institutions. We find evidence that not-for-profits are less likely to code patients into the highest reimbursement categories. Further, as the market becomes dominated by for-profits, both for-profit and not-for-profits increase the share of patients in these high reimbursement categories.
{"title":"Competitive Spillovers and Regulatory Exploitation by Skilled Nursing Facilities","authors":"J. Bowblis, Christopher S. Brunt, D. Grabowski","doi":"10.1515/fhep-2014-0006","DOIUrl":"https://doi.org/10.1515/fhep-2014-0006","url":null,"abstract":"Abstract Typically, research on the effect of ownership has considered health care providers in isolation of competitive interaction from other firms. This analysis considers how the selection of Medicare reimbursement codes for skilled nursing facilities varies by ownership and is influenced by the competitive spillovers from market dominance of for-profit institutions. We find evidence that not-for-profits are less likely to code patients into the highest reimbursement categories. Further, as the market becomes dominated by for-profits, both for-profit and not-for-profits increase the share of patients in these high reimbursement categories.","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"217 ","pages":"45 - 70"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/fhep-2014-0006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72505092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract We estimate the marginal benefits of population-based cancer screening by comparing cancer test and detection rates on either side of US guideline-recommended initiation ages (age 40 for breast cancer and age 50 for colorectal cancer during the study period). Using a regression discontinuity design and self-reported test data from national health surveys, we find test rates for breast and colorectal cancer increase at the guideline age thresholds by 109% and 78%, respectively. Data from cancer registries in twelve US states indicate that cancer detection rates increase at the same thresholds by 50% and 49%, respectively. We estimate significant effects of screening on earlier breast cancer detection (1.2 cases/1000 screened) at age 40 and colorectal cancer detection (1.1 cases/1000 individuals screened) at age 50. Forty-eight and 73% of the increases in breast and colorectal case detection occur among middle-stage cancers (localized and regional) with most of the remainder among early-stage (in-situ). Our analysis suggests that the cost of detecting an asymptomatic case of breast cancer at age 40 via population-based screening is $107,000–134,000 and that the cost of detecting an asymptomatic case of colorectal cancer at age 50 is $473,000–485,000.
{"title":"How Effective is Population-Based Cancer Screening? Regression Discontinuity Estimates from the US Guideline Screening Initiation Ages","authors":"S. Kadiyala, E. Strumpf","doi":"10.1515/fhep-2014-0014","DOIUrl":"https://doi.org/10.1515/fhep-2014-0014","url":null,"abstract":"Abstract We estimate the marginal benefits of population-based cancer screening by comparing cancer test and detection rates on either side of US guideline-recommended initiation ages (age 40 for breast cancer and age 50 for colorectal cancer during the study period). Using a regression discontinuity design and self-reported test data from national health surveys, we find test rates for breast and colorectal cancer increase at the guideline age thresholds by 109% and 78%, respectively. Data from cancer registries in twelve US states indicate that cancer detection rates increase at the same thresholds by 50% and 49%, respectively. We estimate significant effects of screening on earlier breast cancer detection (1.2 cases/1000 screened) at age 40 and colorectal cancer detection (1.1 cases/1000 individuals screened) at age 50. Forty-eight and 73% of the increases in breast and colorectal case detection occur among middle-stage cancers (localized and regional) with most of the remainder among early-stage (in-situ). Our analysis suggests that the cost of detecting an asymptomatic case of breast cancer at age 40 via population-based screening is $107,000–134,000 and that the cost of detecting an asymptomatic case of colorectal cancer at age 50 is $473,000–485,000.","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"68 1","pages":"139 - 87"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84120848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Chandra, J. MacEwan, A. Campinha-Bacote, Z. Khan
Abstract Background: Since the start of the War on Cancer there have been enormous investments in improving oncology treatment. The return to society generated by this investment is unknown. We estimate the returns generated over the previous four decades and extrapolate future returns from current investment in cancer R&D. Methods: Using data on cancer incidence, mortality, and treatment-specific R&D expenditures from 1973 to 2010, we used regression models and two-sided significance tests to relate investment in cancer treatment R&D to cancer mortality, by tumor type. For investment, we used a measure of the knowledge stock generated by cancer treatment R&D expenditures over the previous 25 years to capture the cumulative benefits of past innovations and advances in treatment. Results: Investment of an additional $1 million in cervical, breast, colorectal, and prostate cancer between 1973 and 1990 was associated with a cumulative return of more than $5 million from cancer R&D by 2010. Through 2010, investment in cancer R&D was associated with average benefits in excess of costs in all but two cancers, ovarian and pancreatic. Regarding future returns, we estimated that each additional $1 million invested in cancer treatment research and development in 2010 will produce over $28 million in value over the following 50 years. Conclusions: The return to society from spending on cancer treatment R&D is large, but varies across tumor types.
{"title":"Returns to Society from Investment in Cancer Research and Development","authors":"A. Chandra, J. MacEwan, A. Campinha-Bacote, Z. Khan","doi":"10.1515/fhep-2014-0022","DOIUrl":"https://doi.org/10.1515/fhep-2014-0022","url":null,"abstract":"Abstract Background: Since the start of the War on Cancer there have been enormous investments in improving oncology treatment. The return to society generated by this investment is unknown. We estimate the returns generated over the previous four decades and extrapolate future returns from current investment in cancer R&D. Methods: Using data on cancer incidence, mortality, and treatment-specific R&D expenditures from 1973 to 2010, we used regression models and two-sided significance tests to relate investment in cancer treatment R&D to cancer mortality, by tumor type. For investment, we used a measure of the knowledge stock generated by cancer treatment R&D expenditures over the previous 25 years to capture the cumulative benefits of past innovations and advances in treatment. Results: Investment of an additional $1 million in cervical, breast, colorectal, and prostate cancer between 1973 and 1990 was associated with a cumulative return of more than $5 million from cancer R&D by 2010. Through 2010, investment in cancer R&D was associated with average benefits in excess of costs in all but two cancers, ovarian and pancreatic. Regarding future returns, we estimated that each additional $1 million invested in cancer treatment research and development in 2010 will produce over $28 million in value over the following 50 years. Conclusions: The return to society from spending on cancer treatment R&D is large, but varies across tumor types.","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"66 1","pages":"71 - 86"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85055437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Unruh, D. Stevenson, R. Frank, Marc Cohen, D. Grabowski
Abstract Demand-side barriers are known to be important toward explaining the limited purchase of private long-term care insurance (LTCI). In this study, we examine several factors associated with the demand for LTCI including the availability of less costly substitutes (e.g., Medicaid, family), consumer information, and risk perception. Using buyer surveys from 2000, 2005, and 2010, our results suggest that, among individuals not eliminated through medical underwriting, consumer risk perception and the presence of lower cost, imperfect substitutes are strongly associated with the limited purchase of LTCI. These factors were also predictive of the generosity of coverage purchased. If policymakers seek to stimulate demand for LTCI, new public policies might include Medicaid reform, integrating LTCI with Medicare Advantage plans, enhanced LTCI offerings through employers, and targeted informational campaigns.
{"title":"Demand-Side Factors Associated with the Purchase of Long-Term Care Insurance","authors":"M. Unruh, D. Stevenson, R. Frank, Marc Cohen, D. Grabowski","doi":"10.1515/fhep-2014-0020","DOIUrl":"https://doi.org/10.1515/fhep-2014-0020","url":null,"abstract":"Abstract Demand-side barriers are known to be important toward explaining the limited purchase of private long-term care insurance (LTCI). In this study, we examine several factors associated with the demand for LTCI including the availability of less costly substitutes (e.g., Medicaid, family), consumer information, and risk perception. Using buyer surveys from 2000, 2005, and 2010, our results suggest that, among individuals not eliminated through medical underwriting, consumer risk perception and the presence of lower cost, imperfect substitutes are strongly associated with the limited purchase of LTCI. These factors were also predictive of the generosity of coverage purchased. If policymakers seek to stimulate demand for LTCI, new public policies might include Medicaid reform, integrating LTCI with Medicare Advantage plans, enhanced LTCI offerings through employers, and targeted informational campaigns.","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"239 1","pages":"23 - 43"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81572918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Medicare today is a better program on almost every dimension than it was just after July 30, 1965 when Lyndon Johnson signed public law 89–97. Nonetheless, short-comings, limitations, and inadequacies remain. What should be done to make Medicare a better program? What should Medicare look like in 2030? In this paper we try to answer these questions. Three perspectives are relevant: that of beneficiaries, current and future; that of policymakers and administrators, the program’s stewards; and that of society at large. We posit certain objectives and goals that we believe – and that we think a broad swath of Americans would agree – should be pursued to improve the Medicare program. Those goals include (a) affordability for Medicare beneficiaries, (b) affordability for the working population that is paying and should continue to pay for much of the current cost of the program, (c) reduction in what we regard as needless complexity, and (d) stability and continuity in several different senses. We restrict ourselves to changes that we judge to be affordable and feasible – politically, technically, and administratively – if not today, then over the next decade or two. We believe that changes in Medicare will remain incremental, as they have been for the last 50 years. We shall assume that the ACA takes root and that the exchanges, whether managed by states or by the federal government on behalf of the states, continue to operate. We shall assume that federal and state officials eventually surmount the administrative challenges they still confront. In particular, we assume that the exchanges come to serve a growing share of the American population and that they increasingly exercise the rather considerable regulatory powers over insurance offerings that the ACA grants to them. We divide Medicare reforms into four categories: payment reform, benefit reform, quality reform and management, and the role of private insurance plans (Medicare Advantage [MA]).
{"title":"The Transformation of Medicare, 2015 to 2030","authors":"H. Aaron, R. Reischauer","doi":"10.1515/fhep-2015-0043","DOIUrl":"https://doi.org/10.1515/fhep-2015-0043","url":null,"abstract":"Abstract Medicare today is a better program on almost every dimension than it was just after July 30, 1965 when Lyndon Johnson signed public law 89–97. Nonetheless, short-comings, limitations, and inadequacies remain. What should be done to make Medicare a better program? What should Medicare look like in 2030? In this paper we try to answer these questions. Three perspectives are relevant: that of beneficiaries, current and future; that of policymakers and administrators, the program’s stewards; and that of society at large. We posit certain objectives and goals that we believe – and that we think a broad swath of Americans would agree – should be pursued to improve the Medicare program. Those goals include (a) affordability for Medicare beneficiaries, (b) affordability for the working population that is paying and should continue to pay for much of the current cost of the program, (c) reduction in what we regard as needless complexity, and (d) stability and continuity in several different senses. We restrict ourselves to changes that we judge to be affordable and feasible – politically, technically, and administratively – if not today, then over the next decade or two. We believe that changes in Medicare will remain incremental, as they have been for the last 50 years. We shall assume that the ACA takes root and that the exchanges, whether managed by states or by the federal government on behalf of the states, continue to operate. We shall assume that federal and state officials eventually surmount the administrative challenges they still confront. In particular, we assume that the exchanges come to serve a growing share of the American population and that they increasingly exercise the rather considerable regulatory powers over insurance offerings that the ACA grants to them. We divide Medicare reforms into four categories: payment reform, benefit reform, quality reform and management, and the role of private insurance plans (Medicare Advantage [MA]).","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"72 1","pages":"119 - 136"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79699255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-12-01Epub Date: 2015-11-28DOI: 10.1515/fhep-2015-0037
Étienne Gaudette, Bryan Tysinger, Alwyn Cassil, Dana P Goldman
On Medicare's 50th anniversary, we use the Future Elderly Model (FEM) - a microsimulation model of health and economic outcomes for older Americans - to generate a snapshot of changing Medicare demographics and spending between 2010 and 2030. During this period, the baby boomers, who began turning 65 and aging into Medicare in 2011, will drive Medicare demographic changes, swelling the estimated US population aged 65 or older from 39.7 million to 67.0 million. Among the risks for Medicare sustainability, the size of the elderly population in the future likely will have the highest impact on spending but is easiest to forecast. Population health and the proportion of the future elderly with disabilities are more uncertain, though tools such as the FEM can provide reasonable forecasts to guide policymakers. Finally, medical technology breakthroughs and their effect on longevity are most uncertain and perhaps riskiest. Policymakers will need to keep these risks in mind if Medicare is to be sustained for another 50 years. Policymakers may also want to monitor the equity of Medicare financing amid signs that the program's progressivity is declining, resulting in higher-income people benefiting relatively more from Medicare than lower-income people.
{"title":"Health and Health Care of Medicare Beneficiaries in 2030.","authors":"Étienne Gaudette, Bryan Tysinger, Alwyn Cassil, Dana P Goldman","doi":"10.1515/fhep-2015-0037","DOIUrl":"https://doi.org/10.1515/fhep-2015-0037","url":null,"abstract":"<p><p>On Medicare's 50th anniversary, we use the Future Elderly Model (FEM) - a microsimulation model of health and economic outcomes for older Americans - to generate a snapshot of changing Medicare demographics and spending between 2010 and 2030. During this period, the baby boomers, who began turning 65 and aging into Medicare in 2011, will drive Medicare demographic changes, swelling the estimated US population aged 65 or older from 39.7 million to 67.0 million. Among the risks for Medicare sustainability, the size of the elderly population in the future likely will have the highest impact on spending but is easiest to forecast. Population health and the proportion of the future elderly with disabilities are more uncertain, though tools such as the FEM can provide reasonable forecasts to guide policymakers. Finally, medical technology breakthroughs and their effect on longevity are most uncertain and perhaps riskiest. Policymakers will need to keep these risks in mind if Medicare is to be sustained for another 50 years. Policymakers may also want to monitor the equity of Medicare financing amid signs that the program's progressivity is declining, resulting in higher-income people benefiting relatively more from Medicare than lower-income people.</p>","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"18 2","pages":"75-96"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/fhep-2015-0037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34502546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revamping Provider Payment in Medicare","authors":"P. Ginsburg, G. Wilensky","doi":"10.1515/fhep-2015-0044","DOIUrl":"https://doi.org/10.1515/fhep-2015-0044","url":null,"abstract":"","PeriodicalId":38039,"journal":{"name":"Forum for Health Economics and Policy","volume":"123 1","pages":"137 - 149"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85689643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}