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Pairs of independent reviewers will determine eligibility of CPGs identified by the search. Quality appraisal of included CPGs will be performed using the AGREE II instrument. Recommendations from each CPG and how they were determined will be extracted and compared across similar CPGs. Results from this systematic review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement.
Ethical approval is not required for this systematic review. The results from this study will be published in a peer-reviewed journal and disseminated to professional societies that publish shoulder CPGs, clinical policy groups, clinicians, researchers and consumers.
CRD42020182723.
CRD42020182723.
To explore sociodemographic differences in exposure to advertising for foods and drinks high in fat, salt and sugar (HFSS) and whether exposure is associated with body mass index (BMI).
Cross-sectional survey.
UK.
1552 adults recruited to the Kantar Fast Moving Consumer Goods panel for London and the North of England.
Self-reported advertising exposure stratified by product/service advertised (processed HFSS foods; sugary drinks; sugary cereals; sweet snacks; fast food or digital food delivery services) and advertising setting (traditional; digital; recreational; functional or transport); BMI and sociodemographic characteristics.
Overall, 84.7% of participants reported exposure to HFSS advertising in the past 7 days. Participants in the middle (vs high) socioeconomic group had higher odds of overall self-reported exposure (OR 1.48; 95% CI 1.06 to 2.07). Participants in the low (vs high) socioeconomic group had higher odds of reporting exposure to advertising for three of five product categories (Oalthy product advertising.
Exposure to less healthy product advertising was prevalent, with adults in lower socioeconomic groups and younger adults more likely to report exposure. Broader restrictions may be needed to reduce sociodemographic differences in exposure to less healthy product advertising.
To develop a prognostic model to identify and quantify risk factors for mortality among patients admitted to the hospital with COVID-19.
Retrospective cohort study. Patients were randomly assigned to either training (80%) or test (20%) sets. The training set was used to fit a multivariable logistic regression. Predictors were ranked using variable importance metrics. Models were assessed by C-indices, Brier scores and calibration plots in the test set.
Optum de-identified COVID-19 Electronic Health Record dataset including over 700 hospitals and 7000 clinics in the USA.
17 086 patients hospitalised with COVID-19 between 20 February 2020 and 5 June 2020.
All-cause mortality while hospitalised.
The full model that included information on demographics, comorbidities, laboratory results, and vital signs had good discrimination (C-index=0.87) and was well calibrated, with some overpredictions for the most at-risk patients. Results were similar on the training and test sets, suggesting that there was lie mortality, although vital signs and laboratory results added considerable prognostic information, with oxygen saturation, temperature, respiratory rate, lactate dehydrogenase and white cell count being among the most important predictors. Demographic and comorbidity factors did not improve model performance appreciably. The full model had good discrimination and was reasonably well calibrated, suggesting that it may be useful for assessment of prognosis.
Diabetes is the leading cause of disability-adjusted life years in Mexico, and cost-effective care models are needed to address the epidemic. We sought to evaluate the cost and cost-effectiveness of a novel community-based model of diabetes care in rural Mexico, compared with usual care.
We performed time-driven activity-based costing to estimate annualised costs associated with typical diabetes care in Chiapas, Mexico, as well as a novel diabetes care model known as
(CESPEC). We conducted Markov chain analysis to estimate the cost-effectiveness of CESPEC compared with usual care from a societal perspective. We used patient outcomes from CESPEC in 2016, as well as secondary data from existing literature.
Rural primary care clinics in Chiapas, Mexico.
Adults with diabetes.
CESPEC is a novel, comprehensive, diabetes care model that integrates community health workers, provider education, supply chain management and active case finding.
The primary outcome was the incremental cost-effectiveness ofs in rural Mexico. Given the high prevalence and significant morbidity associated with diabetes in Mexico and other countries in Central America, this model should be considered for broader scale up and evaluation.
This study aims to advance understanding of globally valid versus country-specific quality dimensions and indicators, as perceived by relevant stakeholders. It specifically addresses patient-level indicators for cataract surgery.
A mixed-methods case study comparing Singapore and The Netherlands SETTING Singapore (2017-2019) and The Netherlands (2014-2015).
Stakeholder representatives of cataract care in Singapore and The Netherlands.
Based on the previously identified complete set of stakeholders in The Netherlands, we identified stakeholders of cataract care in Singapore. Amenamevir Stakeholder representatives then established a multi-stakeholder perspective on the quality of cataract care using a concept mapping approach. This yielded a multidimensional cluster map based on multivariate statistical analyses. Consensus-based quality dimensions were subsequently defined during a plenary session. Thereafter, Singaporean dimensions were matched with dimensions obtained in The Netherlands to identify commonalities country-specific measures is required to ensure that the included dimensions and indicators adequately capture the country-specific quality views.
This study on cataract care in Singapore and The Netherlands shows that cataract care quality measurement instruments can share a common international core. At the same time, it emphasises the importance of taking a country-specific multi-stakeholder approach to quality definition and measurement. Complementing an international core set with country-specific measures is required to ensure that the included dimensions and indicators adequately capture the country-specific quality views.
My Website: https://www.selleckchem.com/products/amenamevir.html
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