scholarly journals Integrating Online Georeferenced Epidemiological Analysis and Visualization into a Telemedicine Infrastructure – First Results

2019 ◽  
Author(s):  
Aldo von Wangenheim ◽  
Alexandre Savaris ◽  
Adriano Ferretti Borgatto ◽  
Andrei de Souza Inácio

ABSTRACTWith the objective to perform a first evaluation of the impact of the integration of a graphic spatial epidemiology tool that allows quasi-realtime georeferenced data visualization into a telemedicine infrastructure, this work presents GISTelemed, an online module specialized on indexing structured and semi-structured data, as well as querying the indexed content using structured and free-text search.We evaluated GISTelemed accordingly to the guidelines published by the US Centers for Disease Control and Prevention and input provided by a questionnaire customized according to AdEQUATE (questionnAire for Evaluation of QUAlity in TElemedicine systems).39 healthcare professionals from 13 municipalities participated in the evaluation. We analyzed data from questionnaires using descriptive statistics, being Lernability and Comfort the characteristics that received the best evaluation. Quantitative evaluation based upon leprosis cases detected through tele-dermatology showed a sensitivity and PPV of respectively 77.2% and 95.3%. 22.8% of the cases detected were un-notified cases.Results from our case study show a good evaluation regarding the perceived software quality”. We conclude that the integration of spatial epidemiology tools to the STT/SC system, besides enabling visualization of data in maps, allowed users to analyze the evolution of morbidities and their co-occurrences.

2021 ◽  
Vol 14 ◽  
pp. 117863292110192
Author(s):  
Minh Van Hoang ◽  
Anh Tuan Tran ◽  
Trang Thu Vu ◽  
Tuan Kim Duong

This study examined the coronavirus disease 2019 (COVID-19) preparedness and response of the health system (HS) in Hanoi, Vietnam, and identified enabling factors and barriers. This cross-sectional, mixed-methods study was conducted in 4 urban and peri-urban districts that included some wards with COVID-19-positive cases and some without. The US Centers for Disease Control and Prevention (CDC) analytical frameworks were used. Overall, 10% of health facilities (HFs) failed to fully implement COVID-19 risk determination; 8.8% failed to fully implement stronger community partnerships with local stakeholders to support public health (PH) preparedness; 35% and 2.5% incompletely implemented and did not implement evaluation of PH emergency operations, respectively; 10% did not identify communication channels to issue public information, alerts, warnings, and notifications; 25% incompletely implemented identification, development of guidance, and standards for information; 72.5% had good preventive and treatment collaboration; and 10% did not fully implement procedures for laboratory testing and reporting results. Enablers included sufficient infrastructure and equipment, strong leadership, and good cross-public-sector collaboration with police and military forces. Barriers included workforce constraints, overburdened and inconsistent reporting systems, inappropriate financial mechanisms, ambiguous health governance, and lack of private-sector engagement. Nonetheless, the HS preparedness and response were satisfactory, although further coordinated efforts in evaluation, coordination, communication, and volunteering remain necessary.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amy M. Seegmiller Renner ◽  
Heidi L. Borgwardt ◽  
Monica Coyle ◽  
Susan Moeschler ◽  
Anjali Bhagra

Purpose This case study aims to demonstrate how the Greater Leadership Opportunities for Women (GLOW) Mayo Clinic Employee Resource Groups (MERG) has positively impacted leadership development focusing on growth, resilience, inspiration and tenacity (GRIT) and increased advancement for female leaders at Mayo Clinic. It will also establish how the innovative utilization of employee resource groups can positively impact the development of leaders within an institution in general and specially can enhance behaviors related to GRIT. Design/methodology/approach This case study design was used to measure the impact of the GLOW MERG’s interventions through qualitative and quantitative approaches that highlight both process and outcome to increase study validity through complementarity, which “seeks elaboration, enhancement, illustration, clarification of the results from one method with the results from another” (Greene, et al., 1989, p. 259) as well as completeness and context (Onghena et al., 2019; Schoonenboom and Johnson, 2017; Bryman, 2006). Learning outcomes (knowledge), skill accomplishments and attitude development were evaluated within two weeks after each session and annually through standardized surveys sent to participants via email. The surveys were designed to capture key information about the sessions, including the impact of the session content, the willingness and ability of attendees to apply the learning and identification of opportunities for improvement in session design and delivery, as well as measure satisfaction with the activities offered, the frequency and method(s) of communication, barriers to session attendance and particular topics or speakers of interest to members (Appendix 1). Response options included dichotomous scales, Likert-type scales, multi-select and free text. This provided a voluntary response sampling, as post-session surveys were sent to all session attendees and annual surveys were sent to all GLOW MERG members, which allowed individuals to choose if they would respond to the surveys (Creswell and Creswell, 2018). To foster an environment of continuous improvement, plan-do-study-act (PDSA) cycles (Langley et al., 2009) were conducted after every survey by the event planning team and the GLOW MERG Board. Interventions were tested, reviewed and discussed during monthly board meetings and event planning. Improvements were made and results were shared with key stakeholders through regular communication channels. Additionally, 30 past and present GLOW MERG leaders were surveyed to measure their perceived impact of participation in the GLOW MERG interventions using dichotomous scales, multi-select and free text responses (Appendix 2). This targeted purposive sample was selected because of their high level of engagement with the MERG to provide a retrospective evaluation of the success of the GLOW MERG, and its interventions for career advancement related to the development of GRIT attributes, knowledge and skills resulting in career advancement for those who are/have been highly engaged with the MERG. Findings The results spanning the past few years of GLOW MERG interventions has shown that the GLOW MERG has been successful in providing targeted educational events that address the GRIT knowledge, skills and attributes, needed for female health-care leaders to be successful in developing GRIT capabilities. By staying true to its mission and vision, the GLOW MERG has been able to promote, educate and empower female leaders at Mayo Clinic while actively breaking down the barriers that can prevent women from obtaining leadership positions. Research limitations/implications There are several limitations with this case study’s data collection and sampling methods. First, the post-session and annual survey sampling was based mainly on ease of access, with responses obtained from respondents who are more likely to volunteer or those with the strongest opinions. This allowed for potential bias as responses may not be representative of all GLOW MERG member opinions. Furthermore, the purposive sample of present and past GLOW MERG leaders was also subject to volunteer bias and may not have be representative of the GLOW MERG population. Additionally, the case study examined the practices of only one site and MERG group and may not be representative of all sites or employee resources groups. Practical implications The interventions implemented by the GLOW MERG to assist women with developing GRIT knowledge, skills and attributes – barriers women often face in leadership roles – were tested, reviewed and discussed during monthly board meetings and event planning. PDSA cycles were conducted, improvements were made and results were shared with key stakeholders through regular communication channels (Langley et al., 2009). Key lessons learned from these assessments include: One size does not fit all for leadership development. GLOW members have a wide variety of backgrounds, skills and experiences. Repetition is important in the development of GRIT knowledge, skills and attributes associated with GRIT. A one-time event provides attendees with an information overview and the steps to start developing a new skill but no dedicated time to practice and implement that skill. Originality/value The innovative utilization of employee resource groups can positively impact the development of leaders within an institution in general and specially can enhance behaviors related to GRIT.


Author(s):  
H. Juliette T. Unwin ◽  
Swapnil Mishra ◽  
Valerie C. Bradley ◽  
Axel Gandy ◽  
Thomas A. Mellan ◽  
...  

AbstractAs of 1st June 2020, the US Centers for Disease Control and Prevention reported 104,232 confirmed or probable COVID-19-related deaths in the US. This was more than twice the number of deaths reported in the next most severely impacted country. We jointly modelled the US epidemic at the state-level, using publicly available death data within a Bayesian hierarchical semi-mechanistic framework. For each state, we estimate the number of individuals that have been infected, the number of individuals that are currently infectious and the time-varying reproduction number (the average number of secondary infections caused by an infected person). We used changes in mobility to capture the impact that non-pharmaceutical interventions and other behaviour changes have on the rate of transmission of SARS-CoV-2. On 1st June, we estimated that Rt was only below one in 23 states. We also estimated that 3.7% [3.4%-4.0%] of the total population of the US had been infected, with wide variation between states, and approximately 0.01% of the population was infectious. We demonstrate good 3 week model forecasts of deaths with low error and good coverage of our credible intervals.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
H. Juliette T. Unwin ◽  
Swapnil Mishra ◽  
Valerie C. Bradley ◽  
Axel Gandy ◽  
Thomas A. Mellan ◽  
...  

AbstractAs of 1st June 2020, the US Centres for Disease Control and Prevention reported 104,232 confirmed or probable COVID-19-related deaths in the US. This was more than twice the number of deaths reported in the next most severely impacted country. We jointly model the US epidemic at the state-level, using publicly available death data within a Bayesian hierarchical semi-mechanistic framework. For each state, we estimate the number of individuals that have been infected, the number of individuals that are currently infectious and the time-varying reproduction number (the average number of secondary infections caused by an infected person). We use changes in mobility to capture the impact that non-pharmaceutical interventions and other behaviour changes have on the rate of transmission of SARS-CoV-2. We estimate that Rt was only below one in 23 states on 1st June. We also estimate that 3.7% [3.4%–4.0%] of the total population of the US had been infected, with wide variation between states, and approximately 0.01% of the population was infectious. We demonstrate good 3 week model forecasts of deaths with low error and good coverage of our credible intervals.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e11603-e11603
Author(s):  
Deepa Lalla ◽  
Melissa Brammer ◽  
Annie Guérin ◽  
Geneviève Gauthier ◽  
Philippe Giguere-Duval ◽  
...  

e11603 Background: It is unknown if quality of care received by patients (pts) with BC is impacted by the location at which care is received. Using a sample of pts with HER2+ BC receiving adjuvant trastuzumab (T), we compared T treatment patterns between pts treated in office/clinic (MD) or outpatient hospital (HOSP) settings. Methods: Non-metastaticBCadult women who received ≥2 T infusions in an MD or HOSP setting from 2008-2012 were selected from the US-based Humana database. Based on the site of care where T was received, pts were classified into MD or HOSP cohorts. Pts were followed from first T infusion date to treatment discontinuation, first metastasis, or end of continuous eligibility, for a maximum of 12 months (mos). T treatment duration, discontinuation (treatment gap of ≥45 consecutive days), and the proportion of pts completing the recommended 12 mos treatment indication were compared between cohorts. Results: 730 pts were included; 67% received T in an MD setting vs. 33% in a HOSP setting. Differences between cohorts were observed in terms of healthcare insurance plan: more pts in the HOSP setting had Medicare coverage (55.5% vs. 67.1%; p=.003). Average T duration was shorter in the HOSP setting (MD cohort: 241.9 days ; HOSP cohort: 191.3 days). Among pts observed for 12 mos, a higher proportion in the MD cohort completed the 12-mo treatment (84.3% in MD vs. 75.6% in HOSP [p=.034]). After adjusting for confounding factors, the HOSP cohort was 2.4 times more likely to discontinue treatment compared to the MD cohort ( p<.001). Conclusions: Duration of adjuvant T treatment for pts with non-metastatic HER2+ BC differed based on the site at which treatment was received. This suggests that oncology pts treated in an HOSP setting, vs. MD, may be at higher risk for treatment discontinuation or to receive a shorter course of treatment than recommended. Further research should explore the impact of these differing treatment patterns on outcomes.


2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 225-225
Author(s):  
Bruno Palma Granwehr ◽  
Kelly W. Merriman ◽  
Zeena Shelal ◽  
Hadil Bazerbashi ◽  
Patricia A Brock ◽  
...  

225 Background: HIV is a cancer-associated virus classically associated with KS, NHL, and cervical cancer, but more recently with anal cancer, lung, and head and neck cancers. HIV testing and treatment are important for cancer patients for three reasons: 1) HIV treatment is associated with reduced transmission of a cancer-associated virus. 2) HIV treatment is associated with improved outcomes of cancer therapy in many cancers. 3) HIV testing optimizes quality of care, since testing is recommended by the Centers for Disease Control and Prevention (CDC) and the US Preventive Services Task Force (USPSTF)(A level recommendation) for patients between the ages of 15 and 65 years of age. Since emergency centers (EC’s) commonly provide immunizations and other preventive care, we implemented HIV testing at our cancer center EC. Methods: In our 44 bed cancer center EC with approximately 25,000 annual visits, routine implementation by physician order was implemented in July 2014. EC information technology (IT) assisted in modification of the order sets and facilitated documentation of specific consent for HIV. Educational materials were disseminated to patients and EC providers. A new consent form with integration of HIV consent, including a check box to refuse HIV testing, was implemented on June 19, 2015. Testing results are described through August 2015. Results: HIV testing increased significantly from July 2014 and August 2015. The impact on institutional testing was considerable, increasing from 1.2% of all HIV testing in 2013 to 15.1% to date in 2015. Between July 2014 and August 2015, 1.4% (0.4% incident) of 852 patients screened positive for HIV. Notably, 83% of patients agreed to HIV testing, but less than 20% of patients were actually tested. The highest refusal rate (18.8%) was in patients over age 70 and lowest (9.9%) in those 21-29 years of age. Conclusions: Routine HIV testing is feasible in a comprehensive cancer center ED, but increased awareness is necessary to optimize testing, given the high acceptance rate. Seroprevalence of HIV is comparable to non-cancer center EC’s (0.5-1.2%). These results demonstrate the acceptance by patients of testing for HIV, with implications in reduction of transmission of this cancer-associated virus.


Author(s):  
Allan Fong ◽  
Nicholas Scoulios ◽  
H. Joseph Blumenthal ◽  
Ryan E. Anderson

Abstract Background and Objective The prevalence of value-based payment models has led to an increased use of the electronic health record to capture quality measures, necessitating additional documentation requirements for providers. Methods This case study uses text mining and natural language processing techniques to identify the timely completion of diabetic eye exams (DEEs) from 26,203 unique clinician notes for reporting as an electronic clinical quality measure (eCQM). Logistic regression and support vector machine (SVM) using unbalanced and balanced datasets, using the synthetic minority over-sampling technique (SMOTE) algorithm, were evaluated on precision, recall, sensitivity, and f1-score for classifying records positive for DEE. We then integrate a high precision DEE model to evaluate free-text clinical narratives from our clinical EHR system. Results Logistic regression and SVM models had comparable f1-score and specificity metrics with models trained and validated with no oversampling favoring precision over recall. SVM with and without oversampling resulted in the best precision, 0.96, and recall, 0.85, respectively. These two SVM models were applied to the unannotated 31,585 text segments representing 24,823 unique records and 13,714 unique patients. The number of records classified as positive for DEE using the SVM models ranged from 667 to 8,935 (2.7–36% out of 24,823, respectively). Unique patients classified as positive for DEE ranged from 3.5 to 41.8% highlighting the potential utility of these models. Discussion We believe the impact of oversampling on SVM model performance to be caused by the potential of overfitting of the SVM SMOTE model on the synthesized data and the data synthesis process. However, the specificities of SVM with and without SMOTE were comparable, suggesting both models were confident in their negative predictions. By prioritizing to implement the SVM model with higher precision over sensitivity or recall in the categorization of DEEs, we can provide a highly reliable pool of results that can be documented through automation, reducing the burden of secondary review. Although the focus of this work was on completed DEEs, this method could be applied to completing other necessary documentation by extracting information from natural language in clinician notes. Conclusion By enabling the capture of data for eCQMs from documentation generated by usual clinical practice, this work represents a case study in how such techniques can be leveraged to drive quality without increasing clinician work.


2021 ◽  
Vol 263 (3) ◽  
pp. 3344-3349
Author(s):  
Joelle Suits

When modeling rail noise on an elevated track, there are several adjustments that need to be considered relative to modeling at-grade operations. These adjustments include the effects of re-radiated noise from the track and support structure, reduced ground attenuation due to an elevated noise source and a reduction in the potential for shielding from adjacent rows of buildings. These adjustments are built into the model as a part of the design of a project. This case study examines a unique situation where a project involved elevating existing at-grade tracks to eliminate a bottleneck related to an at-grade crossing of two perpendicular train tracks. The project elevated one main track over the other and shifted the track closer to noise sensitive receivers. The US Federal Transit Administration and Federal Railroad Administration guidance, which were used to assess noise impacts, produced unexpected results during the initial assessment due mainly to the assumptions regarding the changes in shielding and ground attenuation with the elevated structure. This presentation will discuss the initial assumptions used in the project, the limitations of the model relative to changes in shielding and ground attenuation, and the solutions that were implemented to obtain reasonable results for the impact assessment.


2008 ◽  
Vol 49 (5) ◽  
pp. 349-364 ◽  
Author(s):  
Kai-D. Bussmann ◽  
Sebastian Matschke

1985 ◽  
Vol 3 (4) ◽  
pp. 403-415
Author(s):  
Hiromitsu Ishi

The basic aim in this paper is to clarify intergovernmental fiscal relations in Japan. Particular attention is paid to the impact of various types of central government grants on the local government budgets. This is an important issue in a nation like Japan, where the fiscal system is strongly centralized. First, a model is constructed to express the local fiscal behavior under the present grant policies, following the past attempts developed in the United States of America. Then, the estimates of this model are attempted using available data, and some policy questions are examined. The main empirical conclusions that are drawn from the Japanese experience are much more plausible than those in the US case. This implies that the control of central government via various grant policies is more dominant in Japan.


Sign in / Sign up

Export Citation Format

Share Document