Matches in SemOpenAlex for { <https://semopenalex.org/work/W3032202267> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W3032202267 endingPage "1635" @default.
- W3032202267 startingPage "1634" @default.
- W3032202267 abstract "Where Are We Now? Total joint arthroplasty (TJA) of the hip and knee provide truly impressive improvements in health-related quality of life for patients with advanced symptomatic knee and hip osteoarthritis [5]. TJA and spine surgery are also archetypes for “preference-sensitive” care, meaning that the physician and patient have wide discretion over whether to pursue surgery or nonoperative approaches [7]. As such, we know that the use of TJA (measured as procedures per population per year) varies widely from place to place, even among developed countries with similar sociodemographics and healthcare systems [3, 8]. Therefore, unlike procedures such as surgery for hip fractures, where the use or demand is largely fixed and inelastic [4], the use of TJA is thought to be influenced by numerous external factors, including patient preferences and attitudes [2], reimbursement and coverage of TJA by payers, and macrolevel factors such as national income and wealth [1]. But there is much that we do not know. Rupp et al. [9] projected TJA use rates in Germany between 2016 and 2040. The investigators should be commended on their efforts to project what the demand for TJA might be in Germany during the next 25 years. Some of their assumptions, such as aging of the current population, gender, and birth and death rates, can be projected with reasonable confidence. Other assumptions, including immigration rates or changes in reimbursement policies for TJA, are more difficult to predict. Even with these important limitations, the authors provide important and reasonable estimates of TJA use rates between 2016 and 2040 under the most likely scenarios. Their findings of a 45% increase in TKA volume (55% increase in use) and 23% increase in THA volume (29% increase) are important. Hospitals can use these numbers for planning operating room capacity, and medical training programs can use these estimates to guide training program slots and needs. Equally important, payers can use these numbers to examine whether projected spending levels are sustainable. Where Do We Need To Go? In an ideal world, each country and/or jurisdiction would know two things: the current use of all common and costly procedures paid for by government and accurate projections of the future use of each procedure and its financial impact. With current use numbers in hand, governments would be able to compare the current use of assorted procedures in their own country (for example, “what is our per capita rate of TKA and how does that compare with our rate of spine surgery?”). Equally important, such information would allow for a across-country comparisons of use rates of the same procedure (for example, “what is the United States per capita rate of TKA and how does it compare with that of Germany?”). Such use data would begin to give patients, policy makers, and physicians much-needed answers to fundamental questions about which procedures are being performed too frequently and which are underused or deserve additional investment. With future projections for common and costly procedures, jurisdictions would have the information they need to adapt their workforce and hospitals to adjust their mix of procedures and services in an evidence-based manner. As long as governments are not just “a” but “the” major payer of health care, it seems perplexing that neither current use estimates nor predictions of future growth are routinely made in the United States and elsewhere. How Do We Get There? First, it seems reasonable for all public payers to either develop internal capabilities or fund external consultants to develop a “use scorecard.” This scorecard might look something like the Hospital Compare website maintained by the Center for Medicare and Medicaid Service (https://www.medicare.gov/hospitalcompare/search.html) or The Dartmouth Atlas (https://www.dartmouthatlas.org/). Procedures could be identified for the scorecard based on volume, growth in volume over time, cost to the healthcare system, or perhaps expert opinion. Such data could be used internally for planning purposes by policy makers and disseminated externally to groups such as the World Health Organization for international benchmarking. Second, public payers could develop standardized methods for projecting growth of these procedures during the next 10 to 30 years [6]. Without standardized methods, it is difficult to ascertain whether differences in projections arise from differences in methods or from differences in model inputs (such as spending and population growth). With these data, government payers will finally have robust information about their current status (such as, “what is our use of TKA today?”) and projections for the future (such as, “how many TKAs are we likely to be performing in 2035 if we continue on our current trajectory?”). Without these data, we are truly flying blind." @default.
- W3032202267 created "2020-06-05" @default.
- W3032202267 creator A5071026390 @default.
- W3032202267 date "2020-05-20" @default.
- W3032202267 modified "2023-09-27" @default.
- W3032202267 title "CORR Insights®: Projections of Primary TKA and THA in Germany From 2016 Through 2040" @default.
- W3032202267 cites W2037601400 @default.
- W3032202267 cites W2065094094 @default.
- W3032202267 cites W2129578138 @default.
- W3032202267 cites W2401245108 @default.
- W3032202267 cites W2794293325 @default.
- W3032202267 cites W2799338906 @default.
- W3032202267 cites W2914735355 @default.
- W3032202267 cites W2998807003 @default.
- W3032202267 cites W3012497906 @default.
- W3032202267 cites W4239902744 @default.
- W3032202267 doi "https://doi.org/10.1097/corr.0000000000001258" @default.
- W3032202267 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7310419" @default.
- W3032202267 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32452933" @default.
- W3032202267 hasPublicationYear "2020" @default.
- W3032202267 type Work @default.
- W3032202267 sameAs 3032202267 @default.
- W3032202267 citedByCount "1" @default.
- W3032202267 countsByYear W30322022672021 @default.
- W3032202267 crossrefType "journal-article" @default.
- W3032202267 hasAuthorship W3032202267A5071026390 @default.
- W3032202267 hasBestOaLocation W30322022671 @default.
- W3032202267 hasConcept C133925201 @default.
- W3032202267 hasConcept C141071460 @default.
- W3032202267 hasConcept C144133560 @default.
- W3032202267 hasConcept C160735492 @default.
- W3032202267 hasConcept C162118730 @default.
- W3032202267 hasConcept C162324750 @default.
- W3032202267 hasConcept C1862650 @default.
- W3032202267 hasConcept C2778336525 @default.
- W3032202267 hasConcept C2779703844 @default.
- W3032202267 hasConcept C2908647359 @default.
- W3032202267 hasConcept C43893838 @default.
- W3032202267 hasConcept C50522688 @default.
- W3032202267 hasConcept C71924100 @default.
- W3032202267 hasConcept C99454951 @default.
- W3032202267 hasConceptScore W3032202267C133925201 @default.
- W3032202267 hasConceptScore W3032202267C141071460 @default.
- W3032202267 hasConceptScore W3032202267C144133560 @default.
- W3032202267 hasConceptScore W3032202267C160735492 @default.
- W3032202267 hasConceptScore W3032202267C162118730 @default.
- W3032202267 hasConceptScore W3032202267C162324750 @default.
- W3032202267 hasConceptScore W3032202267C1862650 @default.
- W3032202267 hasConceptScore W3032202267C2778336525 @default.
- W3032202267 hasConceptScore W3032202267C2779703844 @default.
- W3032202267 hasConceptScore W3032202267C2908647359 @default.
- W3032202267 hasConceptScore W3032202267C43893838 @default.
- W3032202267 hasConceptScore W3032202267C50522688 @default.
- W3032202267 hasConceptScore W3032202267C71924100 @default.
- W3032202267 hasConceptScore W3032202267C99454951 @default.
- W3032202267 hasIssue "7" @default.
- W3032202267 hasLocation W30322022671 @default.
- W3032202267 hasLocation W30322022672 @default.
- W3032202267 hasLocation W30322022673 @default.
- W3032202267 hasLocation W30322022674 @default.
- W3032202267 hasOpenAccess W3032202267 @default.
- W3032202267 hasPrimaryLocation W30322022671 @default.
- W3032202267 hasRelatedWork W1999329026 @default.
- W3032202267 hasRelatedWork W2008352947 @default.
- W3032202267 hasRelatedWork W2053663985 @default.
- W3032202267 hasRelatedWork W2066257651 @default.
- W3032202267 hasRelatedWork W2520960273 @default.
- W3032202267 hasRelatedWork W2783705181 @default.
- W3032202267 hasRelatedWork W3035032397 @default.
- W3032202267 hasRelatedWork W3044297557 @default.
- W3032202267 hasRelatedWork W3082127840 @default.
- W3032202267 hasRelatedWork W4223461018 @default.
- W3032202267 hasVolume "478" @default.
- W3032202267 isParatext "false" @default.
- W3032202267 isRetracted "false" @default.
- W3032202267 magId "3032202267" @default.
- W3032202267 workType "article" @default.