This commentary addresses Ronald Labonté's recent editorial, "can a well-being economy save us?" It considers how to assess whether well-being economy policy proposals are likely to achieve real change, or simply represent performative sloganeering. It considers Labonté's discussion of the congruence between the well-being economy and widely held, cross-cultural values. Finally it explores the relationship between "well-being economics" and the key heterodox economic disciplines it has sprung from, especially ecological and feminist economics; and explores the relationship of well-being economics with degrowth and postgrowth economics as policy goals and models, rather than disciplines. Ultimately, a well-being economy can only "save us" if it is fully guided by and constrained within the same hard ecological constraints that must also guide degrowth or post-growth policy prescriptions.
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http://dx.doi.org/10.34172/ijhpm.8871 | DOI Listing |
Stroke
January 2025
Neurology. Universitat Autònoma de Barcelona, Univ Hosp Vall d'Hebron, SPAIN.
The optimal endovascular management of cervical carotid dissection causing tandem occlusion remains uncertain. We investigated the impact of emergent carotid stenting during endovascular treatment (EVT) for acute ischemic stroke (AIS) in patients with tandem occlusion secondary to cervical carotid artery dissection. This was a secondary analysis of patients treated with EVT for AIS due to occlusive carotid artery dissection and tandem occlusion included in the retrospective international Antithrombotic Treatment for Stroke Prevention in Cervical Artery Dissection (STOP-CAD) study.
View Article and Find Full Text PDFJ Med Econ
January 2025
Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA.
AimsThe cardioprotective effects of semaglutide 2.4 mg reported in the SELECT cardiovascular (CV) outcomes trial (ClinicalTrials.gov NCT03574597) provide clinical benefit for subjects with overweight or obesity and established CV disease without type 2 diabetes (T2D).
View Article and Find Full Text PDFCurr Med Res Opin
January 2025
Northwestern Medicine, Feinberg School of Medicine, Chicago, IL, United States.
Objective: To quantify treatment preferences for food allergy management options (oral immunotherapy, biologic therapy, and allergen avoidance), overall and by sociodemographic strata.
Methods: A US general population (≥13 years) discrete choice experiment (DCE) conducted comprised of 12 treatment-feature focused DCE choice sets; the Intolerance of Uncertainty─12 Scale (IUS-12); and clinical/demographic questions. Conditional logistic regression analyses were conducted overall and by age, income, urbanization, educational attainment, food and other sociodemographic factors, and presented as odds ratios (ORs) with 95% confidence intervals (CIs).
Bull World Health Organ
February 2025
LSE Health, Department of Health Policy, London School of Economics and Political Science, Houghton Street, London, WC2A 2AE, London, England.
Objective: To map how social, commercial, political and digital determinants of health have changed or emerged during the recent digital transformation of society and to identify priority areas for policy action.
Methods: We systematically searched MEDLINE, Embase and Web of Science on 24 September 2023, to identify eligible reviews published in 2018 and later. To ensure we included the most recent literature, we supplemented our review with non-systematic searches in PubMed® and Google Scholar, along with records identified by subject matter experts.
Bull World Health Organ
February 2025
Department of Global Health, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing100191, China.
Objective: To conduct a systematic review and meta-analysis of the facilitators of and barriers to the acceptance and use of digital health technology by health workers in low- and middle-income countries.
Methods: We searched several databases for relevant articles published until 25 April 2024. We extracted data on four unified theories of acceptance and use of technology factors (performance expectancy, effort expectancy, social influence and facilitating conditions) and six additional factors (attitude, habit, incentive, risk, trust and self-efficacy); how these affected the outcomes of behavioural intention and actual use; and the strength of association if reported.
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