Optimizing Health Outcomes for Children with Asthma in Delaware: A Population Health Case Report

2016 ◽  
Vol 6 (9) ◽  
Author(s):  
Daniella Gratale ◽  
◽  
Alisa Haushalter ◽  
2019 ◽  
Vol 23 (9) ◽  
pp. 1167-1176 ◽  
Author(s):  
Elizabeth S. Barnert ◽  
Ryan J. Coller ◽  
Bergen B. Nelson ◽  
Lindsey R. Thompson ◽  
John Tran ◽  
...  

Epidemiology ◽  
2017 ◽  
Vol 28 (3) ◽  
pp. e23-e24
Author(s):  
Ramal Moonesinghe ◽  
Ana Penman-Aguilar ◽  
Gloria L. A. Beckles

BMJ Open ◽  
2016 ◽  
Vol 6 (1) ◽  
pp. e007546 ◽  
Author(s):  
Callum Williams ◽  
Barnabas James Gilbert ◽  
Thomas Zeltner ◽  
Johnathan Watkins ◽  
Rifat Atun ◽  
...  

Author(s):  
Marita Titler

Translation science is a relatively young area of investigation that is rapidly growing. Although a number of healthcare practices have an evidence-base to guide care delivery, their use is not a part of routine practice. The gap between the availability of evidence-based practice (EBP) recommendations and application to improve patient care and population health is linked to poor health outcomes. Translation science, also known as implementation science, is testing implementation interventions to improve uptake and use of evidence to improve patient outcomes and population health. It also helps clarify what implementation strategies work for whom, in what settings, and why. This scientific field emerged to investigate which implementation strategies work to promote use of EBPs, and uncover the mechanisms by which they work. Advancements in translation science can expedite and sustain the successful integration of evidence in practice to improve care delivery, population health, and health outcomes. This article offers an introductory overview of translation science and addresses issues in this field of science such as variation in terminology; theories and models; implementation strategies; and context and implementation related to EBPs.


BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e020886 ◽  
Author(s):  
Max Barnish ◽  
Michelle Tørnes ◽  
Becky Nelson-Horne

ObjectivesTo provide a 7-year update of the most recent systematic review about the relationships between political features and population health outcomes.SettingInternationally comparative scholarly literature.Data sourcesTen scholarly bibliographic databases plus supplementary searches in bibliographies and Google Scholar were used to update a previous systematic review. The final search was conducted in November 2017.Primary and secondary outcome measuresAny population health outcome measure, apart from healthcare spending.Results73 unique publications were identified from the previous systematic review. The database searches to update the literature identified 45 356 raw records with 35 207 remaining following de-duplication. 55 publications were identified from supplementary searches. In total, 258 publications proceeded to full-text review and 176 were included in narrative synthesis. 85 studies were assessed at low risk of bias, 89 at moderate risk of bias and none at high risk of bias. Assessment could not be conducted for two studies that had only book chapters. No meta-analysis was conducted. 102 studies assessed welfare state generosity and 79 found a positive association. Of the 17 studies that assessed political tradition, 15 were found to show a positive association with the left-of-centre tradition. 44 studies assessed democracy and 34 found a positive association. 28 studies assessed globalisation and 14 found a negative association, while seven were positive and seven inconclusive.ConclusionsThis review concludes that welfare state generosity, left-of-centre democratic political tradition and democracy are generally positively associated with population health. Globalisation may be negatively associated with population health, but the results are less conclusive. It is important for the academic public health community to engage with the political evidence base in its research as well as in stakeholder engagement, in order to facilitate positive outcomes for population health.


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