Result 1 - 10 of total 299
FACCE MACSUR Reports, 8:SP8-6
2016
| Language | English |
|---|---|
| Document type | Article |
| DOI | 10.4126/FRL01-006413166 |
| Database | Repository for Life Sciences |
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.
FACCE MACSUR Reports, 8:SP8-7
2016
| Language | English |
|---|---|
| Document type | Article |
| DOI | 10.4126/FRL01-006413168 |
| Database | Repository for Life Sciences |
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.
FACCE MACSUR Reports, 8:SP8-15
2016
| Language | English |
|---|---|
| Document type | Article |
| DOI | 10.4126/FRL01-006413192 |
| Database | Repository for Life Sciences |
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.
2024 Volume 14, Issue 4, Page(s) e081954
Abstract: Objectives: Major reforms to the organisation of the National Health Service (NHS) in England established 42 integrated care systems (ICSs) to plan and coordinate local services. The changes are based on the idea that cross-sector collaboration is ... ...
| Abstract | Objectives: Major reforms to the organisation of the National Health Service (NHS) in England established 42 integrated care systems (ICSs) to plan and coordinate local services. The changes are based on the idea that cross-sector collaboration is needed to improve health and reduce health inequalities-and similar policy changes are happening elsewhere in the UK and internationally. We explored local interpretations of national policy objectives on reducing health inequalities among senior leaders working in three ICSs. Design: We carried out qualitative research based on semistructured interviews with NHS, public health, social care and other leaders in three ICSs in England. Setting and participants: We selected three ICSs with varied characteristics all experiencing high levels of socioeconomic deprivation. We conducted 32 in-depth interviews with senior leaders of NHS, local government and other organisations involved in the ICS's work on health inequalities. Our interviewees comprised 17 leaders from NHS organisations and 15 leaders from other sectors. Results: Local interpretations of national policy objectives on health inequalities varied, and local leaders had contrasting-sometimes conflicting-perceptions of the boundaries of ICS action on reducing health inequalities. Translating national objectives into local priorities was often a challenge, and clarity from national policy-makers was frequently perceived as limited or lacking. Across the three ICSs, local leaders worried that objectives on tackling health inequalities were being crowded out by other short-term policy priorities, such as reducing pressures on NHS hospitals. The behaviour of national policy-makers appeared to undermine their stated priorities to reduce health inequalities. Conclusions: Varied and vague interpretations of NHS policy on health inequalities are not new, but lack of clarity among local health leaders brings major risks-including interventions being poorly targeted or inadvertently widening inequalities. Greater conceptual clarity is likely needed to guide ICS action in future. |
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| MeSH term(s) | Humans ; Healthcare Disparities ; State Medicine ; England ; Health Policy ; Qualitative Research ; Poverty |
| Language | English |
| Publishing date | 2024-04-08 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 2599832-8 |
| ISSN | 2044-6055 ; 2044-6055 |
| ISSN (online) | 2044-6055 |
| ISSN | 2044-6055 |
| DOI | 10.1136/bmjopen-2023-081954 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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FACCE MACSUR Reports, 5:SP5-26
2015
Abstract: Farm-scale models quantify the cycling of nitrogen (N) and carbon (C) so are powerful tools for assessing the impact of management-related decisions on greenhouse gas (GHG) emissions, especially on dairy cattle farms, where the internal cycling is ... ...
| Abstract | Farm-scale models quantify the cycling of nitrogen (N) and carbon (C) so are powerful tools for assessing the impact of management-related decisions on greenhouse gas (GHG) emissions, especially on dairy cattle farms, where the internal cycling is particularly important. Farm models range in focus (economic, environmental) and the detail with which they represent C and N cycling. We compared four models from this range in terms of on-farm production and emissions of GHGs, using standardized scenarios. The models compared were SFarMod, DairyWise, FarmAC and HolosNor. The scenarios compared were based on two soil types (sandy clay versus heavy clay), two roughage systems (grass only versus grass and maize), and two climate types (Eindhoven versus Santander). Standard farm characteristics were; area (50 ha), milk yield (7000 kg/head/year), fertiliser (275 kg N and 150 kg N/ha/year for grass and maize, respectively). Potential yields for grass 10t dry matter (DM)/ha/year in both areas, maize 14 t DM/ha/ year in Eindhoven and 18t DM/ha/ year in Santander. The import of animal feed and the export/import manure and forages was minimized. Similar total farm direct GHG emissions for all models disguised a variation between models in the contribution of the different on-farm sources. There were large differences between models in the predictions of indirect GHG emission from nitrate leaching. Results could be explained by differences between models in the assumptions made and detail with which underlying processes were represented. We conclude that the choice of an appropriate farm model is highly dependent upon the role it should play and the context within which it will operate, so the current diversity of farm models will continue into the future. |
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| Language | English |
| Document type | Article |
| DOI | 10.4126/FRL01-006413589 |
| Database | Repository for Life Sciences |
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.
FACCE MACSUR Reports, 3(Supplement):CP3-13
2014
Abstract: In the EU Joint-Programming-Initiative: Modelling European Agriculturewith Climate Change for Food Security (MACSUR, LiveM: http://www.macsur.eu/index.php/livestock-modelling) we develop a research frameworkfor the modelling and sustainability assessment ...
| Abstract | In the EU Joint-Programming-Initiative: Modelling European Agriculturewith Climate Change for Food Security (MACSUR, LiveM: http://www.macsur.eu/index.php/livestock-modelling) we develop a research frameworkfor the modelling and sustainability assessment of livestock and grasslandbased farming systems at farm and regional scales.Based on results from related research and model development in Denmark,methodologies used for regional scaling, the description of data requirementsand sources, and methods to predict the effect and effectiveness of climate-and environment related policy measures are developed. In this study we present results from farm modelling in a study areaaround Viborg, Western Denmark using the http://www.Farm-N.dk/ model (Env.Pol. 159 3183-3192), including thedistribution of N-surpluses into different types of losses, and a comparisonwith empirical studies of farm nitrogen balances in the Danish study and fiveadditional European landscapes (Biogeosciences 9, 5303–5321). Based on this,methods and development needs for the mapping and uncertainty assessment ofnutrient losses and greenhouse gas emissions are discussed, referring to the presentdevelopment of the Farm-AC model and ongoing scenario studies in e.g. the www.dNmark.org project. In these scenarios, regional-scale policy measures areimplemented via the responses of a range of stakeholders, such as farmers,public interest groups, regulators and politicians. When modelling the outcomeof the policy measures implementation, it is often assumed that stakeholdersrespond as economically rational entities. However, social and cultural factorsare also known to play a role and modelling methods that permit these factorsto be taken into account will also be discussed. |
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| Language | English |
| Document type | Article |
| DOI | 10.4126/FRL01-006414104 |
| Database | Repository for Life Sciences |
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.
2022 Volume 378, Page(s) e070910
| MeSH term(s) | Cooperative Behavior ; England ; Humans ; State Medicine |
|---|---|
| Language | English |
| Publishing date | 2022-07-04 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 1362901-3 |
| ISSN | 1756-1833 ; 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151 |
| ISSN (online) | 1756-1833 |
| ISSN | 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151 |
| DOI | 10.1136/bmj-2022-070910 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Ua VI Zs.10: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.
2021 Volume 21, Issue 1, Page(s) 753
Abstract: Background: Policymakers in many countries promote collaboration between health care organizations and other sectors as a route to improving population health. Local collaborations have been developed for decades. Yet little is known about the impact of ...
| Abstract | Background: Policymakers in many countries promote collaboration between health care organizations and other sectors as a route to improving population health. Local collaborations have been developed for decades. Yet little is known about the impact of cross-sector collaboration on health and health equity. Methods: We carried out a systematic review of reviews to synthesize evidence on the health impacts of collaboration between local health care and non-health care organizations, and to understand the factors affecting how these partnerships functioned. We searched four databases and included 36 studies (reviews) in our review. We extracted data from these studies and used Nvivo 12 to help categorize the data. We assessed risk of bias in the studies using standardized tools. We used a narrative approach to synthesizing and reporting the data. Results: The 36 studies we reviewed included evidence on varying forms of collaboration in diverse contexts. Some studies included data on collaborations with broad population health goals, such as preventing disease and reducing health inequalities. Others focused on collaborations with a narrower focus, such as better integration between health care and social services. Overall, there is little convincing evidence to suggest that collaboration between local health care and non-health care organizations improves health outcomes. Evidence of impact on health services is mixed. And evidence of impact on resource use and spending are limited and mixed. Despite this, many studies report on factors associated with better or worse collaboration. We grouped these into five domains: motivation and purpose, relationships and cultures, resources and capabilities, governance and leadership, and external factors. But data linking factors in these domains to collaboration outcomes is sparse. Conclusions: In theory, collaboration between local health care and non-health care organizations might contribute to better population health. But we know little about which kinds of collaborations work, for whom, and in what contexts. The benefits of collaboration may be hard to deliver, hard to measure, and overestimated by policymakers. Ultimately, local collaborations should be understood within their macro-level political and economic context, and as one component within a wider system of factors and interventions interacting to shape population health. |
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| MeSH term(s) | Delivery of Health Care ; Health Facilities ; Humans ; Leadership ; Population Health ; Review Literature as Topic ; Social Work |
| Language | English |
| Publishing date | 2021-04-19 |
| Publishing country | England |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't ; Systematic Review |
| ZDB-ID | 2041338-5 |
| ISSN | 1471-2458 ; 1471-2458 |
| ISSN (online) | 1471-2458 |
| ISSN | 1471-2458 |
| DOI | 10.1186/s12889-021-10630-1 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.
BMC Public Health, Vol 21, Iss 1, Pp 1-
a systematic review of reviews
2021 Volume 16
Abstract: Abstract Background Policymakers in many countries promote collaboration between health care organizations and other sectors as a route to improving population health. Local collaborations have been developed for decades. Yet little is known about the ... ...
| Abstract | Abstract Background Policymakers in many countries promote collaboration between health care organizations and other sectors as a route to improving population health. Local collaborations have been developed for decades. Yet little is known about the impact of cross-sector collaboration on health and health equity. Methods We carried out a systematic review of reviews to synthesize evidence on the health impacts of collaboration between local health care and non-health care organizations, and to understand the factors affecting how these partnerships functioned. We searched four databases and included 36 studies (reviews) in our review. We extracted data from these studies and used Nvivo 12 to help categorize the data. We assessed risk of bias in the studies using standardized tools. We used a narrative approach to synthesizing and reporting the data. Results The 36 studies we reviewed included evidence on varying forms of collaboration in diverse contexts. Some studies included data on collaborations with broad population health goals, such as preventing disease and reducing health inequalities. Others focused on collaborations with a narrower focus, such as better integration between health care and social services. Overall, there is little convincing evidence to suggest that collaboration between local health care and non-health care organizations improves health outcomes. Evidence of impact on health services is mixed. And evidence of impact on resource use and spending are limited and mixed. Despite this, many studies report on factors associated with better or worse collaboration. We grouped these into five domains: motivation and purpose, relationships and cultures, resources and capabilities, governance and leadership, and external factors. But data linking factors in these domains to collaboration outcomes is sparse. Conclusions In theory, collaboration between local health care and non-health care organizations might contribute to better population health. But we know little about which kinds of ... |
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| Keywords | Inter-organizational collaboration ; Multisector partnerships ; Systematic review ; Health policy ; Public aspects of medicine ; RA1-1270 |
| Subject code | 360 ; 306 |
| Language | English |
| Publishing date | 2021-04-01T00:00:00Z |
| Publisher | BMC |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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Communications Biology, Vol 6, Iss 1, Pp 1-
2023 Volume 14
Abstract: The clinical HDAC inhibitor zabadinostat increases MHC class I and II expression in dendritic cells, activates T and B cells, and enhances adaptive immune responses to COVID-19 spike protein in mice. ...
| Abstract | The clinical HDAC inhibitor zabadinostat increases MHC class I and II expression in dendritic cells, activates T and B cells, and enhances adaptive immune responses to COVID-19 spike protein in mice. |
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| Keywords | Biology (General) ; QH301-705.5 |
| Language | English |
| Publishing date | 2023-01-01T00:00:00Z |
| Publisher | Nature Portfolio |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.