Improving health care cost projections for the Medicare population: summary of a workshop
Gespeichert in:
| Körperschaft: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C.
National Academies Press
2010
|
| Schlagworte: | |
| Beschreibung: | "Committee on National Statistics, Division of Behavioral and Social Sciences and Education." Includes bibliographical references "Developing credible short-term and long-term projections of Medicare health care costs is critical for public- and private-sector policy planning, but faces challenges and uncertainties. There is uncertainty not only in the underlying economic and demographic assumptions used in projection models, but also in what a policy modeler assumes about future changes in the health status of the population and the factors affecting health status, the extent and pace of scientific and technological breakthroughs in medical care, the preferences of the population for particular kinds of care, the likelihood that policy makers will alter current law and regulations, and how each of these factors relates to health care costs for the elderly population. Given the substantial growth in the Medicare population and the continued increases in Medicare, Medicaid, and private health insurance spending, the availability of well-specified models and analyses that can provide useful information on the likely cost implications of health care policy alternatives is essential. It is therefore timely to review the capabilities and limitations of extant health care cost models and to identify areas for research that offer the most promise to improve modeling, not only of current U.S. health care programs, but also of policy alternatives that may be considered in the coming years. The National Research Council conducted a public workshop focusing on areas of research needed to improve health care cost projections for the Medicare population, and on the strengths and weaknesses of competing frameworks for projecting health care expenditures for the elderly. The workshop considered major classes of projection and simulation models that are currently used and the underlying data sources and research inputs for these models. It also explored areas in which additional research and data are needed to inform model development and health care policy analysis more broadly. The workshop, summarized in this volume, drew people from a wide variety of disciplines and perspectives, including federal agencies, academia, and nongovernmental organizations."--home page |
| Beschreibung: | x, 115 p. |
| ISBN: | 0309159768 9780309159760 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV044109155 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 170217s2010 |||| o||u| ||||||eng d | ||
| 020 | |a 0309159768 |9 0-309-15976-8 | ||
| 020 | |a 9780309159760 |9 978-0-309-15976-0 | ||
| 035 | |a (ZDB-30-PAD)EBC3378715 | ||
| 035 | |a (ZDB-89-EBL)EBL3378715 | ||
| 035 | |a (OCoLC)690689328 | ||
| 035 | |a (DE-599)BVBBV044109155 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 338.473621 |2 22 | |
| 110 | 2 | |a National Research Council (U.S.) |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Improving health care cost projections for the Medicare population |b summary of a workshop |c Gooloo S. Wunderlich, rapporteur ; National Research Council of the National Academies |
| 264 | 1 | |a Washington, D.C. |b National Academies Press |c 2010 | |
| 300 | |a x, 115 p. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a "Committee on National Statistics, Division of Behavioral and Social Sciences and Education." | ||
| 500 | |a Includes bibliographical references | ||
| 500 | |a "Developing credible short-term and long-term projections of Medicare health care costs is critical for public- and private-sector policy planning, but faces challenges and uncertainties. There is uncertainty not only in the underlying economic and demographic assumptions used in projection models, but also in what a policy modeler assumes about future changes in the health status of the population and the factors affecting health status, the extent and pace of scientific and technological breakthroughs in medical care, the preferences of the population for particular kinds of care, the likelihood that policy makers will alter current law and regulations, and how each of these factors relates to health care costs for the elderly population. | ||
| 500 | |a Given the substantial growth in the Medicare population and the continued increases in Medicare, Medicaid, and private health insurance spending, the availability of well-specified models and analyses that can provide useful information on the likely cost implications of health care policy alternatives is essential. It is therefore timely to review the capabilities and limitations of extant health care cost models and to identify areas for research that offer the most promise to improve modeling, not only of current U.S. health care programs, but also of policy alternatives that may be considered in the coming years. The National Research Council conducted a public workshop focusing on areas of research needed to improve health care cost projections for the Medicare population, and on the strengths and weaknesses of competing frameworks for projecting health care expenditures for the elderly. | ||
| 500 | |a The workshop considered major classes of projection and simulation models that are currently used and the underlying data sources and research inputs for these models. It also explored areas in which additional research and data are needed to inform model development and health care policy analysis more broadly. The workshop, summarized in this volume, drew people from a wide variety of disciplines and perspectives, including federal agencies, academia, and nongovernmental organizations."--home page | ||
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Medical care, Cost of |x Statistics |v Congresses | |
| 650 | 4 | |a Medical care, Cost of |z United States |v Statistics |v Congresses | |
| 650 | 4 | |a Medicare |x Costs |v Congresses | |
| 650 | 4 | |a Medical policy |z United States |v Congresses | |
| 651 | 4 | |a USA | |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
| 700 | 1 | |a Wunderlich, Gooloo S. |e Sonstige |4 oth | |
| 710 | 2 | |a National Research Council (U.S.)XXbCommittee on National Statistics |e Sonstige |4 oth | |
| 912 | |a ZDB-30-PAD | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029516000 | ||
Datensatz im Suchindex
| _version_ | 1804177182685134849 |
|---|---|
| any_adam_object | |
| author_corporate | National Research Council (U.S.) |
| author_corporate_role | aut |
| author_facet | National Research Council (U.S.) |
| author_sort | National Research Council (U.S.) |
| building | Verbundindex |
| bvnumber | BV044109155 |
| collection | ZDB-30-PAD |
| ctrlnum | (ZDB-30-PAD)EBC3378715 (ZDB-89-EBL)EBL3378715 (OCoLC)690689328 (DE-599)BVBBV044109155 |
| dewey-full | 338.473621 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 338 - Production |
| dewey-raw | 338.473621 |
| dewey-search | 338.473621 |
| dewey-sort | 3338.473621 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03904nmm a2200469zc 4500</leader><controlfield tag="001">BV044109155</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">170217s2010 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0309159768</subfield><subfield code="9">0-309-15976-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780309159760</subfield><subfield code="9">978-0-309-15976-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PAD)EBC3378715</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-89-EBL)EBL3378715</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)690689328</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044109155</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">338.473621</subfield><subfield code="2">22</subfield></datafield><datafield tag="110" ind1="2" ind2=" "><subfield code="a">National Research Council (U.S.)</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Improving health care cost projections for the Medicare population</subfield><subfield code="b">summary of a workshop</subfield><subfield code="c">Gooloo S. Wunderlich, rapporteur ; National Research Council of the National Academies</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Washington, D.C.</subfield><subfield code="b">National Academies Press</subfield><subfield code="c">2010</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">x, 115 p.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">"Committee on National Statistics, Division of Behavioral and Social Sciences and Education."</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">"Developing credible short-term and long-term projections of Medicare health care costs is critical for public- and private-sector policy planning, but faces challenges and uncertainties. There is uncertainty not only in the underlying economic and demographic assumptions used in projection models, but also in what a policy modeler assumes about future changes in the health status of the population and the factors affecting health status, the extent and pace of scientific and technological breakthroughs in medical care, the preferences of the population for particular kinds of care, the likelihood that policy makers will alter current law and regulations, and how each of these factors relates to health care costs for the elderly population. </subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Given the substantial growth in the Medicare population and the continued increases in Medicare, Medicaid, and private health insurance spending, the availability of well-specified models and analyses that can provide useful information on the likely cost implications of health care policy alternatives is essential. It is therefore timely to review the capabilities and limitations of extant health care cost models and to identify areas for research that offer the most promise to improve modeling, not only of current U.S. health care programs, but also of policy alternatives that may be considered in the coming years. The National Research Council conducted a public workshop focusing on areas of research needed to improve health care cost projections for the Medicare population, and on the strengths and weaknesses of competing frameworks for projecting health care expenditures for the elderly. </subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">The workshop considered major classes of projection and simulation models that are currently used and the underlying data sources and research inputs for these models. It also explored areas in which additional research and data are needed to inform model development and health care policy analysis more broadly. The workshop, summarized in this volume, drew people from a wide variety of disciplines and perspectives, including federal agencies, academia, and nongovernmental organizations."--home page</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistik</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Medical care, Cost of</subfield><subfield code="x">Statistics</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Medical care, Cost of</subfield><subfield code="z">United States</subfield><subfield code="v">Statistics</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Medicare</subfield><subfield code="x">Costs</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Medical policy</subfield><subfield code="z">United States</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="651" ind1=" " ind2="4"><subfield code="a">USA</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wunderlich, Gooloo S.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">National Research Council (U.S.)XXbCommittee on National Statistics</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PAD</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029516000</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift gnd-content |
| genre_facet | Konferenzschrift |
| geographic | USA |
| geographic_facet | USA |
| id | DE-604.BV044109155 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:43:54Z |
| institution | BVB |
| isbn | 0309159768 9780309159760 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029516000 |
| oclc_num | 690689328 |
| open_access_boolean | |
| physical | x, 115 p. |
| psigel | ZDB-30-PAD |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | National Academies Press |
| record_format | marc |
| spelling | National Research Council (U.S.) Verfasser aut Improving health care cost projections for the Medicare population summary of a workshop Gooloo S. Wunderlich, rapporteur ; National Research Council of the National Academies Washington, D.C. National Academies Press 2010 x, 115 p. txt rdacontent c rdamedia cr rdacarrier "Committee on National Statistics, Division of Behavioral and Social Sciences and Education." Includes bibliographical references "Developing credible short-term and long-term projections of Medicare health care costs is critical for public- and private-sector policy planning, but faces challenges and uncertainties. There is uncertainty not only in the underlying economic and demographic assumptions used in projection models, but also in what a policy modeler assumes about future changes in the health status of the population and the factors affecting health status, the extent and pace of scientific and technological breakthroughs in medical care, the preferences of the population for particular kinds of care, the likelihood that policy makers will alter current law and regulations, and how each of these factors relates to health care costs for the elderly population. Given the substantial growth in the Medicare population and the continued increases in Medicare, Medicaid, and private health insurance spending, the availability of well-specified models and analyses that can provide useful information on the likely cost implications of health care policy alternatives is essential. It is therefore timely to review the capabilities and limitations of extant health care cost models and to identify areas for research that offer the most promise to improve modeling, not only of current U.S. health care programs, but also of policy alternatives that may be considered in the coming years. The National Research Council conducted a public workshop focusing on areas of research needed to improve health care cost projections for the Medicare population, and on the strengths and weaknesses of competing frameworks for projecting health care expenditures for the elderly. The workshop considered major classes of projection and simulation models that are currently used and the underlying data sources and research inputs for these models. It also explored areas in which additional research and data are needed to inform model development and health care policy analysis more broadly. The workshop, summarized in this volume, drew people from a wide variety of disciplines and perspectives, including federal agencies, academia, and nongovernmental organizations."--home page Statistik Medical care, Cost of Statistics Congresses Medical care, Cost of United States Statistics Congresses Medicare Costs Congresses Medical policy United States Congresses USA (DE-588)1071861417 Konferenzschrift gnd-content Wunderlich, Gooloo S. Sonstige oth National Research Council (U.S.)XXbCommittee on National Statistics Sonstige oth |
| spellingShingle | Improving health care cost projections for the Medicare population summary of a workshop Statistik Medical care, Cost of Statistics Congresses Medical care, Cost of United States Statistics Congresses Medicare Costs Congresses Medical policy United States Congresses |
| subject_GND | (DE-588)1071861417 |
| title | Improving health care cost projections for the Medicare population summary of a workshop |
| title_auth | Improving health care cost projections for the Medicare population summary of a workshop |
| title_exact_search | Improving health care cost projections for the Medicare population summary of a workshop |
| title_full | Improving health care cost projections for the Medicare population summary of a workshop Gooloo S. Wunderlich, rapporteur ; National Research Council of the National Academies |
| title_fullStr | Improving health care cost projections for the Medicare population summary of a workshop Gooloo S. Wunderlich, rapporteur ; National Research Council of the National Academies |
| title_full_unstemmed | Improving health care cost projections for the Medicare population summary of a workshop Gooloo S. Wunderlich, rapporteur ; National Research Council of the National Academies |
| title_short | Improving health care cost projections for the Medicare population |
| title_sort | improving health care cost projections for the medicare population summary of a workshop |
| title_sub | summary of a workshop |
| topic | Statistik Medical care, Cost of Statistics Congresses Medical care, Cost of United States Statistics Congresses Medicare Costs Congresses Medical policy United States Congresses |
| topic_facet | Statistik Medical care, Cost of Statistics Congresses Medical care, Cost of United States Statistics Congresses Medicare Costs Congresses Medical policy United States Congresses USA Konferenzschrift |
| work_keys_str_mv | AT nationalresearchcouncilus improvinghealthcarecostprojectionsforthemedicarepopulationsummaryofaworkshop AT wunderlichgooloos improvinghealthcarecostprojectionsforthemedicarepopulationsummaryofaworkshop AT nationalresearchcouncilusxxbcommitteeonnationalstatistics improvinghealthcarecostprojectionsforthemedicarepopulationsummaryofaworkshop |