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Lyons RA, Schmidt AE, Aldridge S, Mathis-Edenhofer S, Estupiñán-Romero F, Thissen M, Gissler M, Palmieri L, Majek O. Impact of COVID-19 on hospitalisation for diverse conditions in European countries. Eur J Public Health 2022. [PMCID: PMC9594716 DOI: 10.1093/eurpub/ckac129.273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Background The COVID-19 pandemic has had an unprecedented impact on Europe. Health systems came under strain, with non-urgent treatments postponed and resources reserved for treatment of COVID-19 patients. Delayed care seeking has been reported, for fear of infection with SARS-CoV2. Yet, the scale of this impact remains under researched. This study aims to compare indirect effects of the pandemic in a European cross-country study aiming to highlight the potential of Population Health Information Research Infrastructures (www.phiri.eu). Methods Focusing on (i) major vascular events (MVE) and (ii) elective surgery for joint replacements (ESJR) as well as (iii) serious trauma this study analyses individual level hospital data in a standardised harmonised data model. We compared pre-pandemic incidence rates (2018-2019) with rates for 2020 and 2021. Analyses are systematically contrasted with SARS CoV2 incidence rates, and policy measures taken based on the OxCGRT index. Results A drop in hospital discharge rates was observed during the pandemic in all countries but differing by condition and month. Socio-economic differences also varied by condition. Our evidence suggests that periods of more severe policy measures also correlated with more dramatic drops in regular hospital activities. Conclusions Our findings provide new insights on the dramatic level of de-prioritisation of essential services faced by non-COVID-19 patients in Europe. From a public health perspective, hospital escalation plans should be developed early on to avoid negative mid and long-term health and financial consequences of indirect effects. The study demonstrates the tremendous potential in exploiting health information systems in a systematic way across countries and the value of the PHIRI system. Further research should investigate policy trade-offs involved in severe lockdown measures during a pandemic and variations in health service resilience for future pandemic preparedness.
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Affiliation(s)
- RA Lyons
- Population Data Science, Swansea University Medical School , Swansea, UK
| | - AE Schmidt
- Competence Centre for Climate and Health, Austrian National Public Health Institute , Vienna, Austria
| | - S Aldridge
- Population Data Science, Swansea University Medical School , Swansea, UK
| | - S Mathis-Edenhofer
- Health Care Planning and System Development, Austrian National Public Health Institute , Vienna, Austria
| | | | - M Thissen
- Epidemiology and Health Monitoring, Robert Koch Institute , Berlin, Germany
| | - M Gissler
- Finnish Institute for Health and Welfare , Helsinki, Finland
- Karolinska Institutet , Stockholm, Sweden
| | - L Palmieri
- Istituto Superiore di Sanità , Rome, Italy
| | - O Majek
- Institute of Health Information and Statistic , Prague, Czechia
- Institute of Biostatistics and Analyses, Masaryk University , Brno, Czechia
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Waitzberg R, Schmidt AE, Blümel M, Barbabella F. Mapping variability in allocation of Long-Term Care funds across payer agencies in OECD countries. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa165.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Long-term care (LTC) is organized in a fragmented manner. Payer agencies (PA) receive LTC funds from the agency collecting funds, and commission services. Yet, distributional equity (DE) across PAs, a precondition to geographical equity of access to LTC, has received limited attention. We conceptualize that LTC systems promote DE when they are designed to set eligibility criteria nationally (vs. locally); and to distribute funds among PAs based on needs-formula (vs. past-budgets or government decisions). The objectives of this cross-country study is to highlight to what extent different LTC systems are designed to promote DE across PAs, and the parameters used in allocation formulae.
Methods
Qualitative data were collected through a questionnaire filled by experts from 17 OECD countries.
Results
11 out of 25 LTC systems analyzed, fully meet DE as we defined. 5 systems which give high autonomy to PAs have designs with low levels of DE; while nine systems partially promote DE. Allocation formulae vary in their complexity as some systems use simple demographic parameters while others apply socio-economic status, disability, and LTC cost variations.
Conclusions
A minority of LTC systems fully meet DE, which is only one of the criteria in allocation of LTC resources. Some systems prefer local priority-setting and governance over DE. Countries that value DE should harmonize the eligibility criteria at the national level and allocate funds according to needs across regions.
Key messages
A minority of LTC systems in OECD countries fully meet distributional equity in allocation of resources across payer agencies. Countries that value distributional equity should harmonize the eligibility criteria to LTC at the national level and allocate funds according to needs across regions.
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Affiliation(s)
- R Waitzberg
- The Smokler Center for Health Policy Research, Myers-JDC-Brookdale Institute, Jerusalem, Israel
- Department of Health Systems Management, Ben-Gurion University of the Negev, Beer Sheva, Israel
- Department of Health Care Management, Technical University Berlin, Berlin, Germany
| | - A E Schmidt
- Department of Health Economics & Health System Analysis, Austrian Public Health Institute, Vienna, Austria
| | - M Blümel
- Department of Health Care Management, Technical University Berlin, Berlin, Germany
| | - F Barbabella
- Centre for Socio-Economic Research on Ageing, National Institute of Health and Science on Ageing, Ancona, Italy
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Bonoli PT, Parker R, Wukitch SJ, Lin Y, Porkolab M, Wright JC, Edlund E, Graves T, Lin L, Liptac J, Parisot A, Schmidt AE, Tang V, Beck W, Childs R, Grimes M, Gwinn D, Johnson D, Irby J, Kanojia A, Koert P, Marazita S, Marmar E, Terry D, Vieira R, Wallace G, Zaks J, Bernabei S, Brunkhorse C, Ellis R, Fredd E, Greenough N, Hosea J, Kung CC, Loesser GD, Rushinski J, Schilling G, Phillips CK, Wilson JR, Harvey RW, Fiore CL, Granetz R, Greenwald M, Hubbard AE, Hutchinson IH, Labombard B, Lipschultz B, Rice J, Snipes JA, Terry J, Wolfe SM. Wave-Particle Studies in the Ion Cyclotron and Lower Hybrid Ranges of Frequencies in Alcator C-Mod. Fusion Science and Technology 2017. [DOI: 10.13182/fst07-a1430] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- P. T. Bonoli
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - R. Parker
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - S. J. Wukitch
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - Y. Lin
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - M. Porkolab
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - J. C. Wright
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - E. Edlund
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - T. Graves
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - L. Lin
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - J. Liptac
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - A. Parisot
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - A. E. Schmidt
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - V. Tang
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - W. Beck
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - R. Childs
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - M. Grimes
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - D. Gwinn
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - D. Johnson
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - J. Irby
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - A. Kanojia
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - P. Koert
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - S. Marazita
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - E. Marmar
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - D. Terry
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - R. Vieira
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - G. Wallace
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - J. Zaks
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - S. Bernabei
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - C. Brunkhorse
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - R. Ellis
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - E. Fredd
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - N. Greenough
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - J. Hosea
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - C. C. Kung
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - G. D. Loesser
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - J. Rushinski
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - G. Schilling
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - C. K. Phillips
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | - J. R. Wilson
- Princeton University, Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543
| | | | - C. L. Fiore
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - R. Granetz
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - M. Greenwald
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - A. E. Hubbard
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - I. H. Hutchinson
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - B. Labombard
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - B. Lipschultz
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - J. Rice
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - J. A. Snipes
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - J. Terry
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
| | - S. M. Wolfe
- Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, Massachusetts 02139
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Bajaj SP, Schmidt AE, Mathur A, Padmanabhan K, Zhong D, Mastri M, Fay PJ. Factor IXa:factor VIIIa interaction. helix 330-338 of factor ixa interacts with residues 558-565 and spatially adjacent regions of the a2 subunit of factor VIIIa. J Biol Chem 2001; 276:16302-9. [PMID: 11278963 DOI: 10.1074/jbc.m011680200] [Citation(s) in RCA: 71] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The physiologic activator of factor X consists of a complex of factor IXa, factor VIIIa, Ca(2+) and a suitable phospholipid surface. In one study, helix 330 (162 in chymotrypsin) of the protease domain of factor IXa was implicated in binding to factor VIIIa. In another study, residues 558-565 of the A2 subunit of factor VIIIa were implicated in binding to factor IXa. We now provide data, which indicate that the helix 330 of factor IXa interacts with the 558-565 region of the A2 subunit. Thus, the ability of the isolated A2 subunit was severely impaired in potentiating factor X activation by IXa(R333Q) and by a helix replacement mutant (IXa(helixVII) in which helix 330-338 is replaced by that of factor VII) but it was normal for an epidermal growth factor 1 replacement mutant (IXa(PCEGF1) in which epidermal growth factor 1 domain is replaced by that of protein C). Further, affinity of each 5-dimethylaminonaphthalene-1-sulfonyl (dansyl)-Glu-Gly-Arg-IXa (dEGR-IXa) with the A2 subunit was determined from its ability to inhibit wild-type IXa in the tenase assay and from the changes in dansyl fluorescence emission signal upon its binding to the A2 subunit. Apparent K(d(A2)) values are: dEGR-IXa(WT) or dEGR-IXa(PCEGF1) approximately 100 nm, dEGR-IXa(R333Q) approximately 1.8 micrometer, and dEGR-IXa(helixVII) >10 micrometer. In additional experiments, we measured the affinities of these factor IXa molecules for a peptide comprising residues 558-565 of the A2 subunit. Apparent K(d(peptide)) values are: dEGR-IXa(WT) or dEGR-IXa(PCEGF1) approximately 4 micrometer, and dEGR-IXa(R333Q) approximately 62 micrometer. Thus as compared with the wild-type or PCEGF1 mutant, the affinity of the R333Q mutant for the A2 subunit or the A2 558-565 peptide is similarly reduced. These data support a conclusion that the helix 330 of factor IXa interacts with the A2 558-565 sequence. This information was used to model the interface between the IXa protease domain and the A2 subunit, which is also provided herein.
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Affiliation(s)
- S P Bajaj
- Department of Medicine, Saint Louis University School of Medicine, St. Louis, Missouri 63104, USA.
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Walter MH, Wolf BH, Schmidt AE, Boening KW, Koch R. Plaque, gingival health and post-operative sensitivity in titanium inlays and onlays: a randomized controlled clinical trial. J Dent 2001; 29:181-6. [PMID: 11306159 DOI: 10.1016/s0300-5712(01)00008-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES Few clinical data on the use of titanium for restorative appliances are available. The aim of this study was to clinically evaluate titanium restorations compared to gold alloy restorations with regard to plaque, gingival health and post-operative sensitivity. METHODS In 54 patients, 99 titanium restorations were placed. The control group comprised 56 patients with 96 high gold alloy restorations. The material was chosen by random. Each patient received one or two Class II restorations. Plaque Index (Silness and Löe, 0-3), Gingival Index (Löe and Silness, 0-3), and post-operative sensitivity (1-4, 1=none) were rated at 2 weeks, 3 months, 6 months, 12 months, and 18 months, post-operatively. RESULTS The mean plaque scores ranged from 0.89 to 0.99 in the titanium group, and from 0.88 to 1.04 in the gold group. The mean gingival scores ranged from 0.91 to 1.07 in the titanium group, and from 0.82 to 0.99 in the gold group. The mean plaque and gingival scores of the titanium and gold group did not differ significantly at any visit (P>0.05). To evaluate post-operative sensitivity, patients with one MOD restoration each were included, resulting in 46 titanium and 44 high gold restored teeth. Mean values of the post-operative sensitivity scores in the titanium group were significantly higher than in the gold group (P<0.05). The restoration material was found to be the dominating variable with regard to post-operative sensitivity, which was not influenced by age, sex and the application of calcium hydroxide liner. CONCLUSIONS It is concluded that neither higher plaque scores nor adverse effects on gingival health are to be expected in titanium restorations.
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Affiliation(s)
- M H Walter
- Department of Prosthodontics, Medical Faculty, Technical University of Dresden, Fetscherstrasse 74, 01307, Dresden, Germany.
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Moesgaard FA, Schmidt AE, Hammer JH. [Production of slides using a microdatamat]. Ugeskr Laeger 1990; 152:2309-12. [PMID: 1697994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
For production of dias for presentation of scientific data, a personal computer, a dias programme and a camera are necessary. A microdatamat with a 80286 precessor, 20 MB hard disc and an EGA colour screen are the minimum configurations which can be recommended. A hard disc between 40 and 85 MB and a VGA screen provide a better solution. Out of the numerous dias programmes, Harvard Graphics appears to be suitable for production of dias for scientific use. In this programme, it is easy to combine text, graphic and hand drawing. Many other excellent programmes such as 35 mm Express and Mirage are also available. In the choice of camera, a solution of at least 4,000 x 4,000 lines is required and the camera concerned must be capable of working with recognized statistical and graphic parcels as more special graphs cannot be produced in ordinary dias programmes. Among the numerous cameras, the following may be mentioned: Montage which costs of 70,000 Danish crowns (approximately 6,000 pounds), Matrix PCR at 100,000 Danish crowns (approximately 9,000 pounds), Matrix QCR-Z at 200,000 Danish crowns (approximately 18,000 pounds) and Lasergraphic's two models at 60,000 and 120,000 Danish crowns, respectively (approximately 5,000 pounds and 10,000 pounds). In the price class of about 100,000 Danish crowns, Matrix PCR can be recommended particularly as this camera has an excellent optic and advanced self calibrating system. Among the cheaper cameras. Montage is recommended which e.g. functions well with Harvard Graphics.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- F A Moesgaard
- Hvidovre Hospital, Kirurgisk gastroenterologisk afdeling og afdelingen for medicinsk informatik København
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