scholarly journals Regional Innovation Systems of Medical Technology

REGION ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 57-81
Author(s):  
Rucha Vadia ◽  
Katharina Blankart
Keyword(s):  
Knowledge Production ◽  
Spillover Effects ◽  
External Funding ◽  
Regional Innovation ◽  
Cross Sectional ◽  
Horizon 2020 ◽  
Product Categories ◽  
The Us ◽  
Number Of Publications ◽  
The Impact

We investigated the role of external funding in cardiovascular device innovation across 31 countries in Europe. We rely on the knowledge production function (KPF) framework that establishes the knowledge output of a region as a function of innovatory effort and other characteristics of that region. In a cross-sectional analysis, we investigated regional variation in knowledge production by the number of publications in cardiovascular device research obtained from the bibliometric data of the world’s largest biomedical library, the US National Library of Medicine, 2014‒2017. We mapped these publications to product categories of medical devices approved for cardiovascular diseases by the US Food and Drug Administration. Considering spatial correlation across regions of Europe in our estimates of the KPF, we investigated the impact of two types of funding mechanisms: grants reported in the publications and the volume of European Union Horizon 2020 funding received by the innovating regions. We obtained 123,487 cardiovascular device-related publications distributed across 1,051 (75% of total) regions (NUTS-3 level). Receiving external funding strongly contributes to a region’s knowledge output. The estimated elasticities of innovatory effort range between 0.51 and 0.64. These estimates were consistently larger than the elasticities of other characteristics in the region measured by gross domestic product (0.14‒0.56). We also documented spillover effects from neighboring regions when the funding was measured by the grants reported in the publications, concluding that innovatory efforts in the form of external research investments are effective for promoting innovation in the medical device industry at the regional level.

Indication-Specific Generic Uptake of Imatinib Demonstrates the Impact of Skinny Labeling

2022 ◽  
Author(s):  
Bryan S. Walsh ◽  
Aaron S. Kesselheim ◽  
Ameet Sarpatwari ◽  
Benjamin N. Rome
Keyword(s):  
Patent Protection ◽  
Cross Sectional Study ◽  
Myelogenous Leukemia ◽  
Brand Name ◽  
Generic Competition ◽  
Cross Sectional ◽  
The Us ◽  
Lower Drug ◽  
The Impact ◽  
Brand Name Drugs

PURPOSE Generic competition can be delayed if brand-name manufacturers obtain additional patents on supplemental uses. The US Food and Drug Administration allows generic drug manufacturers to market versions with skinny labels that exclude patent-protected indications. This study assessed whether use of generic versions of imatinib varied between indications included and excluded from the skinny labels. METHODS In this cross-sectional study, we identified adult patients covered by commercial insurance or Medicare Advantage plans who initiated imatinib from February 2016 (first generic availability) to September 2020. Generic versions were introduced with skinny labels that included indications covering treatment of chronic myelogenous leukemia (CML) but excluded treatment of gastrointestinal stromal tumors (GISTs) because of remaining patent protections. Logistic regression was used to determine whether use of generic versus brand-name imatinib differed between patients with a diagnosis of CML or GIST, adjusting for demographics, insurance type, prior use of brand-name drugs, and calendar month. RESULTS Among 2,000 initiators, 934 (47%) had CML and 686 (34%) had GIST. Within 3 years after generics entered the market, more than 90% of initiators in both groups used generic imatinib. Initiation of generic imatinib was slightly lower among patients with GIST than among patients with CML (85% v 88%; adjusted odds ratio 0.56; 95% CI, 0.39 to 0.80; P ≤ .001). CONCLUSION Generic versions of imatinib were dispensed frequently for indications both included (CML) and excluded (GIST) from the skinny labeling, although patients with GIST were slightly less likely to receive a generic version. The skinny labeling pathway allowed generics to enter the market before patent protection for treating patients with GIST expired, facilitating lower drug prices.

Modelling sectoral spillovers in the USA (1992–2015)

2020 ◽  
Vol 47 (3) ◽  
pp. 561-595
Author(s):  
Konstantinos N. Konstantakis ◽  
Panayotis G. Michaelides ◽  
Theofanis Papageorgiou ◽  
Theodoros Daglis
Keyword(s):  
Information Technology ◽  
General Equilibrium ◽  
Methodological Approach ◽  
Robustness Analysis ◽  
Autoregressive Process ◽  
Spillover Effects ◽  
Content Type ◽  
Us Economy ◽  
The Us ◽  
The Impact

PurposeThis research paper uses a novel methodological approach to investigate the spillover effects among the key sectors of the US economy.Design/methodology/approachThe paper links the US sectors via a node theoretic scheme based on a general equilibrium framework, whereas it estimates the general equilibrium equation as a Global Vector Autoregressive process, taking into consideration the potential existence of dominant units.FindingsBased on our findings, the dominant sector in the US economy, for the period 1992–2015, is the sector of information technology, finance and communications, a fact that gives credence to the view that the US economy is a service-driven economy. In addition, the US economy seems to benefit by the increased labour mobility across knowledge-intensive sectors, thus avoiding the ‘employment trap’ which in turn enabled the US economy to overcome the financial crisis of 2007.Originality/valueFirstly, the paper models by means of a network approach which is based on a general equilibrium framework, the linkages between the US sectors while treating the sector of information, technology, communications and finance as dominant, as dictated by its degree of centrality in the network structure. Secondly, the paper offers a robustness analysis regarding both the existence and the identification of dominant sectors (nodes) in the US economy. Thirdly, the paper studies a wide period, namely 1992–2015, fully capturing the recent global recession, while acknowledging the impact of the global crisis through the introduction of the relevant exogenous dummy variables; Lastly and most importantly, it is the first study to apply the GVAR approach in a network general equilibrium framework at the sectoral level.

scholarly journals Declining mental health among disadvantaged Americans

2018 ◽  
Vol 115 (28) ◽  
pp. 7290-7295 ◽  
Author(s):  
Noreen Goldman ◽  
Dana A. Glei ◽  
Maxine Weinstein
Keyword(s):  
Mental Health ◽  
Psychological Health ◽  
Positive Emotions ◽  
Well Being ◽  
The United States ◽  
Opioid Epidemic ◽  
Cross Sectional ◽  
Modest Improvement ◽  
The Us ◽  
The Impact

Although there is little dispute about the impact of the US opioid epidemic on recent mortality, there is less consensus about whether trends reflect increasing despair among American adults. The issue is complicated by the absence of established scales or definitions of despair as well as a paucity of studies examining changes in psychological health, especially well-being, since the 1990s. We contribute evidence using two cross-sectional waves of the Midlife in the United States (MIDUS) study to assess changes in measures of psychological distress and well-being. These measures capture negative emotions such as sadness, hopelessness, and worthlessness, and positive emotions such as happiness, fulfillment, and life satisfaction. Most of the measures reveal increasing distress and decreasing well-being across the age span for those of low relative socioeconomic position, in contrast to little decline or modest improvement for persons of high relative position.

scholarly journals Clustering and Healthcare Costs With Multiple Chronic Conditions in a US Cross-Sectional Study

2020 ◽  
Author(s):  
cother hajat ◽  
yakir siegal ◽  
amalia adler-waxman
Keyword(s):  
Mental Health ◽  
Chronic Conditions ◽  
Healthcare Costs ◽  
Multiple Chronic Conditions ◽  
Cross Sectional ◽  
The Us ◽  
Health Related ◽  
Insured Patients ◽  
The Impact ◽  
Hiv Aids

Objective To investigate healthcare costs and contributors to costs for multiple chronic conditions (MCCs), common clusters of conditions and their impact on cost and utilisation. Methods This was a cross-sectional analysis of US financial claims data representative of the US population, including Medicare, Medicaid and Commercial insurance claims in 2015. Outcome measures included healthcare costs and contributors; ranking of clusters of conditions according to frequency, strength of association and unsupervised (k-means) analysis; the impact of clustering on costs and contributors to costs. Results Of 1,878,951 patients, 931,045(49.6%) had MCCs, 56.5% weighted to the US population. Mean age was 53.0 years(SD16.7); 393,121(42.20%) were male. Mean annual healthcare spending was $12,601, ranging from $4,385 (2 conditions) to $33,874 (11 conditions), with spending increasing by 22-fold for inpatient services, 6-fold for outpatient services, 4.5-fold for generic drugs and 4.2-fold for branded drugs. Cluster ranking using the 3 methodologies yielded similar results: highest ranked clusters included metabolic syndrome(12.2% of US insured patients), age related diseases(7.7%), renal failure(5.6%), respiratory disorders(4.5%), cardiovascular disease(CVD)(4.3%), cancers(4.1-4.3%), mental health-related clusters(1.0-1.5%) and HIV/AIDS(0.2%). Highest spending was in HIV/AIDS clusters ($48,293), mental health-related clusters ($38,952-$40,637), renal disease ($38,551) and CVD ($37,155); with 89.9% of spending on outpatient and inpatient care combined, and 10.1% on medication. Conclusion and Relevance Over 57% of insured patients in the US may have MCCs. MCC Clustering is frequent and is associated with healthcare utilisation. The findings favour health system redesign towards a multiple condition approach for clusters of chronic conditions, alongside other cost-containment measures for MCCs.

scholarly journals Gender-Inclusive Fellowship Naming and Equity, Diversity, and Inclusion in Radiology: An Analysis of Radiology Department Websites in Canada and the United States

2022 ◽  
pp. 084653712110661
Author(s):  
Tyler D. Yan ◽  
Lauren E. Mak ◽  
Evelyn F. Carroll ◽  
Faisal Khosa ◽  
Charlotte J. Yong-Hing
Keyword(s):  
United States ◽  
Breast Imaging ◽  
The United States ◽  
Radiology Department ◽  
Imaging Data ◽  
Body Imaging ◽  
Cross Sectional ◽  
Diversity And Inclusion ◽  
The Us ◽  
The Impact

Purpose: Transgender and gender non-binary (TGNB) individuals face numerous inequalities in healthcare and there is substantial work to be done in fostering TGNB culturally competent care in radiology. A radiology department’s online presence and use of gender-inclusive language are essential in promoting an environment of equity, diversity, and inclusion (EDI). The naming of radiology fellowships and continuing medical education (CME) courses with terminology such as “Women’s Imaging” indicates a lack of inclusivity to TGNB patients and providers, which could result in suboptimal patient care. Methods: We conducted a cross-sectional analysis of all institutions in Canada and the United States (US) offering training in Breast Imaging, Women’s Imaging, or Breast and Body Imaging. Data was collected from each institution’s radiology department website pertaining to fellowship names, EDI involvement, and CME courses. Results: 8 Canadian and 71 US radiology fellowships were identified. 75% of Canadian and 90% of US fellowships had gender-inclusive names. One (12.5%) Canadian and 29 (41%) US institutions had EDI Committees mentioned on their websites. Among institutions publicly displaying CME courses about breast/body or women’s imaging, gender-inclusive names were used in only 1 (25%) of the Canadian CME courses, compared to 81% of the US institutions. Conclusions: Most institutions in Canada and the US have gender-inclusive names for their radiology fellowships pertaining to breast and body imaging. However, there is much opportunity to and arguably the responsibility for institutions in both countries to increase the impact and visibility of their EDI efforts through creation of department-specific committees and CME courses.

scholarly journals A Global Study of COVID-19 Vaccination Intentions: The Role of Personal Experiences and Risk Perceptions

2021 ◽  
Author(s):  
Kaitlyn Akel ◽  
Grace Noppert ◽  
Yogambigai Rajamoorthy ◽  
Yihan Lu ◽  
Awnish Singh ◽  
...  
Keyword(s):  
Family Member ◽  
Risk Perceptions ◽  
Influential Factors ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Personal Experiences ◽  
The Us ◽  
Personal Diagnosis ◽  
Vaccine Decision Making ◽  
The Impact

Abstract Background The COVID-19 pandemic presents an opportunity to assess the impact of personal experiences on vaccine decision-making. The aim of this study was to examine the associations between experiences with COVID-19 and intention to vaccinate against COVID-19. Methods We administered 28 repeated cross-sectional, online surveys between June 2020 and June 2021 in the US and Asia. The main exposures were three types of experiences: COVID-19 diagnosis, knowing a friend/family member with COVID-19, and exposures to media containing COVID-19 patients. A series of logistic regression models estimated the association between each experience and acceptance of a hypothetical COVID-19 vaccine. We also explored perceived susceptibility as a potential mediator. Results Intent to vaccinate was lowest in the US and Taiwan, and highest in India, Indonesia, and China. Personal diagnosis with COVID-19 had the greatest impact on intentions to vaccinate across country sites compared to those who experienced a friend or family member diagnosed with COVID-19 or exposures to personal stories reported through media. In India participants that reported a personal diagnosis with COVID-19 had 12.95 times the odds (95% CI: 4.89, 34.28) of accepting a COVID-19 vaccine compared to those with no diagnosis. Higher risk perceptions were associated with higher intention to vaccinate against COVID-19. Conclusions Proximity and seriousness of experiences are influential factors for intention to vaccinate against COVID-19. This study highlights the numerous ways in which pandemic experiences may influence intention to vaccinate against COVID-19 across geographies and cultures, where the course of the pandemic differed.

Spillover effects of the US monetary policy on the Indian trilemma

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harpreet Singh Grewal ◽  
Pushpa Trivedi
Keyword(s):  
Monetary Policy ◽  
Event Study ◽  
Spillover Effects ◽  
Subject Area ◽  
Open Market ◽  
Content Type ◽  
Study Approach ◽  
The Us ◽  
The Impact ◽  
Us Monetary Policy

PurposeThe purpose of this paper is to investigate the impact of the US unconventional monetary policy surprises on the management of trilemma in India.Design/methodology/approachThis paper uses the event study approach along with OLS and MANOVA to examine the impact.FindingsThe results validate the existence of trilemma in India for the period from October 2008 to December 2017. The results also show that monetary policy independence still exists in India in the wake of greater spillover effects during the Federal Open Market Committee announcement days. The spillover effects on USD-INR exchange rates and capital flows are found to be statistically significant. The MANOVA results show that the trilemma in India is influenced by around 20% by the changes in the US monetary policy.Originality/valueThe above approach of event study combined with MANOVA in this subject area has not been used before to the best of the authors’ knowledge. Further, there are only a few studies that exist on the spillover effects of the US monetary policy actions on the management of trilemma in India.

scholarly journals Who Gets the Credit? Legislative Responsiveness and Evaluations of Members, Parties, and the US Congress

2016 ◽  
Vol 5 (2) ◽  
pp. 351-366 ◽  
Author(s):  
Daniel M. Butler ◽  
Christopher F. Karpowitz ◽  
Jeremy C. Pope
Keyword(s):  
Survey Data ◽  
Political Party ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Recall Bias ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Institutional Approval ◽  
Us Congress ◽  
The Us

This article considers the hypothesis that the positive actions taken by members of Congress (MCs) influence citizens’ evaluations of them, their party, and Congress as an institution. We begin with a look at the available cross-sectional survey data on contact with legislators and legislator and institutional approval. Their legislative responsiveness appears to have a small spillover effect on institutions. However, when we employ a unique panel design that controls for prior levels of opinion and avoids recall bias, we find no evidence of spillover effects. Overall, we find that constituents who received a response from their own MC evaluate that representative more positively than those who did not receive a response, but legislator responsiveness does not predict evaluations of the MC’s political party or the Congress.

scholarly journals COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245586
Author(s):  
Robert Morlock ◽  
Amy Morlock ◽  
Martha Downen ◽  
Sonali N. Shah
Keyword(s):  
Symptom Severity ◽  
Early Recognition ◽  
Nationwide Survey ◽  
Total Sample ◽  
International Travel ◽  
Community Based ◽  
Cross Sectional ◽  
The Us ◽  
The Impact ◽  
At Home

Background Early recognition of COVID-19 cases is essential for effective public health measures aimed at isolation of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS–COV-2). The objective of this study was to describe characteristics, self-reported symptoms, and predictors of testing positive for SARS-CoV-2 infection in a community-based sample. Methods and findings This was a cross-sectional nationwide survey of adults in the US conducted between April 24 through May 13, 2020. The survey targeted a representative sample of approximately 5,000 respondents. The rate of COVID-19 cases and testing, most frequently reported symptoms, symptom severity, treatment received, impact of COVID-19 on mental and physical health, and factors predictive of testing positive were assessed. Most of the 5,203 participants (85.6%) reported no COVID-19-like symptoms. Of the 747 (14.5%) participants reporting COVID-19-like symptoms, 367 (49.1%) obtained a diagnostic test. Eighty-nine participants (24.3%) reported a positive COVID-19 test result, representing 1.7% of the total sample. For those testing positive, the most common symptoms were dry cough, fever, and shortness of breath/difficulty breathing. Those who tested positive were more likely to report greater symptom severity versus those who tested negative. Severe dry cough, new loss of taste or smell, trouble waking up, living with someone experiencing symptoms, recent international travel, respiratory issues, and reporting ethnicity of Black or African American were predictive of testing positive. Conclusions This study assessed the impact of COVID-19 using community-level self-reported data across the US during the peak of most stay at home’ orders. Self-reported symptoms and risk factors identified in this study are consistent with the clinical profile emerging for COVID-19. In the absence of widespread testing, this study demonstrates the utility of a representative US community-based sample to provide direct-reported symptoms and outcomes to quickly identify high-risk individuals who are likely to test positive and should consider taking greater precautions.

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