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- Title:
- Quality Improvement for the Global Health Trainee
- Keyword:
- quality improvement , global health education
- Subject: MESH:
- Global Health, Quality of Health Care
- Creator:
- Visek, Caitlin Anne
- Contributor:
- Doobay-Persaud, Ashti
- Publisher:
- DigitalHub. Galter Health Sciences Library & Learning Center
- Language:
- English
- Rights:
- http://creativecommons.org/licenses/by-nc-sa/3.0/us/
- Resource Type:
- Other
- Title:
- Global Health Quality Improvement Educational Resources
- Keyword:
- quality improvement , global health education
- Subject: MESH:
- Global Health, Quality of Health Care, Education, Distance
- Creator:
- Visek, Caitlin Anne
- Contributor:
- Doobay-Persaud, Ashti
- Publisher:
- DigitalHub. Galter Health Sciences Library & Learning Center
- Rights:
- http://creativecommons.org/licenses/by-nc-sa/3.0/us/
- Resource Type:
- Other
- Title:
- Maturity Model Overview for AMIA Summit 2022
- Keyword:
- Maturity, Maturity models
- Subject: MESH:
- Strategic Planning
- Creator:
- Starren, Justin B
- Publisher:
- DigitalHub. Galter Health Sciences Library & Learning Center
- Language:
- English
- Date Created:
- 2022-05-23
- Rights:
- http://creativecommons.org/licenses/by-nc-sa/3.0/us/
- Resource Type:
- Presentation
- Title:
- Local Informal Network Support and Shared Expertise: the 20-year experience of CAMA
- Description:
- Lightning talk presentation made during the virtual SLA Midwest Symposium on June 10, 2022 about CAMA (Chicago Area Medical Archivists), including milestones from its 20 year history. / Presentation also made on-site (with minor updates) during the Midwest/Medical Library Association meeting on October 24, 2022 under the alternate title: "20 Years of Local Informal Network Support and Shared Expertise: Chicago Area Medical Archivists (CAMA)".
- Abstract:
- The Illinois group, Chicago Area Medical Archivists (CAMA) is an informal group, based in the greater Chicagoland area, that was formed in 2002. As an informal network of colleagues, CAMA has provided support for both novice and experienced information professionals charged with organizing their institutions archives or answering internal and external medical history questions, often in addition to other duties. As an informal, open membership group of librarians, archivists, healthcare professionals, and others interested in Chicago area medical history, CAMA complements other professional membership organizations. Members work at various health and clinical specialty associations, academic medical centers, universities, hospitals, and are local historians as well as independent researchers. This presentation, updating and expanding on a poster first presented in 2019 at the Health Science Librarians of Illinois conference *, spotlighted some of the more measurable milestones of the group, such as its long-standing annual medical history symposia. Examples were shared of ways the loosely structured network has been able to persist and thrive over the years, in providing concrete information support and a venue for its members of varied backgrounds who have shared their skills, knowledge, and expertise. Participation of CAMA members in the Chicago Collections Consortium was also highlighted. Could CAMA be useful to special librarians and could its model work for other information groups? Perhaps this presentation will provide some ideas or inspiration.
- Keyword:
- networking, CAMA, Chicago Area Medical Archivists, Health sciences, SLA, Midwest Chapter/ Medical Library Association
- Subject: MESH:
- Libraries, Medical, History of Medicine, History of Nursing
- Subject: LCSH:
- Librarians, Archivists, Libraries, Archives
- Subject: Geographic Name:
- Illinois--Chicago Metropolitan Area
- Creator:
- Kubilius, Ramune K., Keller Young, Megan
- Publisher:
- DigitalHub. Galter Health Sciences Library & Learning Center
- Language:
- English
- Date Created:
- 2022-05-19
- Rights:
- http://creativecommons.org/licenses/by-nc-sa/3.0/us/
- Resource Type:
- Presentation
- Title:
- SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis
- Original Bibliographic Citation:
- Post L, Marogi E, Moss CB, Murphy RL, Ison MG, Achenbach CJ, Resnick D, Singh L, White J, Boctor MJ, Welch SB, Oehmke JF. SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis. Journal of Medical Internet Research. 2021;23(1):11.
- Abstract:
- Background: The COVID-19 pandemic has disrupted the lives of millions and forced countries to devise public health policies to reduce the pace of transmission. In the Middle East and North Africa (MENA), falling oil prices, disparities in wealth and public health infrastructure, and large refugee populations have significantly increased the disease burden of COVID-19. In light of these exacerbating factors, public health surveillance is particularly necessary to help leaders understand and implement effective disease control policies to reduce SARS-CoV-2 persistence and transmission. Objective: The goal of this study is to provide advanced surveillance metrics, in combination with traditional surveillance, for COVID-19 transmission that account for weekly shifts in the pandemic speed, acceleration, jerk, and persistence to better understand a country's risk for explosive growth and to better inform those who are managing the pandemic. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed. Methods: Using a longitudinal trend analysis study design, we extracted 30 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in MENA as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel data model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. Results: The regression Wald statistic was significant (chi(2)(5)=859.5, P<.001). The Sargan test was not significant, failing to reject the validity of overidentifying restrictions (chi(2)(294)=16, P=.99). Countries with the highest cumulative caseload of the novel coronavirus include Iran, Iraq, Saudi Arabia, and Israel with 530,380, 426,634, 342,202, and 303,109 cases, respectively. Many of the smaller countries in MENA have higher infection rates than those countries with the highest caseloads. Oman has 33.3 new infections per 100,000 population while Bahrain has 12.1, Libya has 14, and Lebanon has 14.6 per 100,000 people. In order of largest to smallest number of cumulative deaths since January 2020, Iran, Iraq, Egypt, and Saudi Arabia have 30,375, 10,254, 6120, and 5185, respectively. Israel, Bahrain, Lebanon, and Oman had the highest rates of COVID-19 persistence, which is the number of new infections statistically related to new infections in the prior week. Bahrain had positive speed, acceleration, and jerk, signaling the potential for explosive growth. Conclusions: Static and dynamic public health surveillance metrics provide a more complete picture of pandemic progression across countries in MENA. Static measures capture data at a given point in time such as infection rates and death rates. By including speed, acceleration, jerk, and 7-day persistence, public health officials may design policies with an eye to the future. Iran, Iraq, Saudi Arabia, and Israel all demonstrated the highest rate of infections, acceleration, jerk, and 7-day persistence, prompting public health leaders to increase prevention efforts.
- Keyword:
- COVID-19, SARS-CoV-2 surveillance, wave two, second wave, global COVID-19 surveillance, MENA public health surveillance, MENA COVID-19, Middle East and North Africa surveillance metrics, dynamic panel data, MENA econometrics, MENA SARS-CoV-2, Middle East and North Africa COVID-19 surveillance system, MENA COVID-19 transmission speed, MENA COVID-19 transmission acceleration, COVID-19 transmission deceleration, COVID-19 transmission jerk, COVID-19 7-day lag, SARS-CoV-2, Arellano-Bond estimator, generalized method of moments, GMM, Bahrain, Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syria, United Arab Emirates, Yemen, Algeria, Djibouti, Egypt, Libya, Morocco, Tunisia
- Subject: MESH:
- SARS-CoV-2, Disease Transmission, Infectious , Health Policy, COVID-19
- Subject: LCSH:
- COVID-19 (Disease), Communicable diseases--Transmission, Medical policy
- Subject: Geographic Name:
- Middle East, Africa, North
- Creator:
- Post, Lori Ann, Marogi, Emily Philip, Moss, Charles B., Murphy, Robert Leo, Ison, Michael G, Achenbach, Chad J, Resnick, Danielle, Singh, Lauren, White, Janine Inui, Boctor, Michael Jacob, Welch, Sarah, Oehmke, James Francis
- Publisher:
- JMIR PUBLICATIONS, INC
- Language:
- English
- Date Created:
- 2021-01-15
- Rights:
- http://creativecommons.org/licenses/by/4.0/
- Resource Type:
- Article
- Original Identifier:
- (PMID) 33302252
- Title:
- A SARS-CoV-2 Surveillance System in Sub-Saharan Africa: Modeling Study for Persistence and Transmission to Inform Policy
- Original Bibliographic Citation:
- Post LA, Argaw ST, Jones C, Moss CB, Resnick D, Singh LN, Murphy RL, Achenbach CJ, White J, Issa TZ, Boctor MJ, Oehmke JF. A SARS-CoV-2 Surveillance System in Sub-Saharan Africa: Modeling Study for Persistence and Transmission to Inform Policy. Journal of Medical Internet Research. 2020;22(11):18.
- Abstract:
- Background: Since the novel coronavirus emerged in late 2019, the scientific and public health community around the world have sought to better understand, surveil, treat, and prevent the disease, COVID-19. In sub-Saharan Africa (SSA), many countries responded aggressively and decisively with lockdown measures and border closures. Such actions may have helped prevent large outbreaks throughout much of the region, though there is substantial variation in caseloads and mortality between nations. Additionally, the health system infrastructure remains a concern throughout much of SSA, and the lockdown measures threaten to increase poverty and food insecurity for the subcontinent's poorest residents. The lack of sufficient testing, asymptomatic infections, and poor reporting practices in many countries limit our understanding of the virus's impact, creating a need for better and more accurate surveillance metrics that account for under-reporting and data contamination. Objective: The goal of this study is to improve infectious disease surveillance by complementing standardized metrics with new and decomposable surveillance metrics of COVID-19 that overcome data limitations and contamination inherent in public health surveillance systems. In addition to prevalence of observed daily and cumulative testing, testing positivity rates, morbidity, and mortality, we derived COVID-19 transmission in terms of speed, acceleration or deceleration, change in acceleration or deceleration (jerk), and 7-day transmission rate persistence, which explains where and how rapidly COVID-19 is transmitting and quantifies shifts in the rate of acceleration or deceleration to inform policies to mitigate and prevent COVID-19 and food insecurity in SSA. Methods: We extracted 60 days of COVID-19 data from public health registries and employed an empirical difference equation to measure daily case numbers in 47 sub-Saharan countries as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. Results: Kenya, Ghana, Nigeria, Ethiopia, and South Africa have the most observed cases of COVID-19, and the Seychelles, Eritrea, Mauritius, Comoros, and Burundi have the fewest. In contrast, the speed, acceleration, jerk, and 7-day persistence indicate rates of COVID-19 transmissions differ from observed cases. In September 2020, Cape Verde, Namibia, Eswatini, and South Africa had the highest speed of COVID-19 transmissions at 13.1, 7.1, 3.6, and 3 infections per 100,0000, respectively; Zimbabwe had an acceleration rate of transmission, while Zambia had the largest rate of deceleration this week compared to last week, referred to as ajerk. Finally, the 7-day persistence rate indicates the number of cases on September 15, 2020, which are a function of new infections from September 8, 2020, decreased in South Africa from 216.7 to 173.2 and Ethiopia from 136.7 to 106.3 per 100,000. The statistical approach was validated based on the regression results; they determined recent changes in the pattern of infection, and during the weeks of September 1-8 and September 9-15, there were substantial country differences in the evolution of the SSA pandemic. This change represents a decrease in the transmission model R value for that week and is consistent with a de-escalation in the pandemic for the sub-Saharan African continent in general. Conclusions: Standard surveillance metrics such as daily observed new COVID-19 cases or deaths are necessary but insufficient to mitigate and prevent COVID-19 transmission. Public health leaders also need to know where COVID-19 transmission rates are accelerating or decelerating, whether those rates increase or decrease over short time frames because the pandemic can quickly escalate, and how many cases today are a function of new infections 7 days ago. Even though SSA is home to some of the poorest countries in the world, development and population size are not necessarily predictive of COVID-19 transmission, meaning higher income countries like the United States can learn from African countries on how best to implement mitigation and prevention efforts.
- Keyword:
- global COVID-19 surveillance, African public health surveillance, sub-Saharan African COVID-19, African surveillance metrics, dynamic panel data, generalized method of the moments, African econometrics, African SARS-CoV-2, African COVID-19 surveillance system, African COVID-19 transmission speed, African COVID-19 transmission acceleration, COVID-19 transmission deceleration, COVID-19 transmission jerk, COVID-19 7-day persistence, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Suriname, Swaziland, Tanzania, Togo, Uganda, Zambia, Zimbabwe, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mozambique, Namibia, Niger, Nigeria, Rwanda, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Comoros, Congo, Cote d'Ivoire, Democratic Republic of Congo, Equatorial Guinea, Eritrea, Ethiopia, Gabon
- Subject: MESH:
- SARS-CoV-2, Public Health Surveillance, Disease Transmission, Infectious, COVID-19
- Subject: LCSH:
- COVID-19 (Disease), Public health surveillance, Virus diseases--Transmission
- Subject: Geographic Name:
- Africa, Sub-Saharan
- Creator:
- Post, Lori Ann, Argaw, Salem Tibebe, Jones, Cameron Spencer, Moss, Charles B., Resnick, Danielle, Singh, Lauren Nadya, Murphy, Robert Leo, Achenbach, Chad J, White, Janine Inui, Issa, Tariq Ziad, Boctor, Michael Jacob, Oehmke, James Francis
- Publisher:
- JMIR PUBLICATIONS, INC
- Language:
- English
- Date Created:
- 2020-11-19
- Rights:
- http://creativecommons.org/licenses/by/4.0/
- Resource Type:
- Article
- Original Identifier:
- (PMID) 33211026
- Title:
- SARS-CoV-2 Surveillance System in Canada: Longitudinal Trend Analysis
- Original Bibliographic Citation:
- Post L, Boctor MJ, Issa TZ, Moss CB, Murphy RL, Achenbach CJ, Ison MG, Resnick D, Singh L, White J, Welch SB, Oehmke JF. SARS-CoV-2 Surveillance System in Canada: Longitudinal Trend Analysis. Jmir Public Health and Surveillance. 2021;7(5):11.
- Abstract:
- Background: The COVID-19 global pandemic has disrupted structures and communities across the globe. Numerous regions of the world have had varying responses in their attempts to contain the spread of the virus. Factors such as public health policies, governance, and sociopolitical climate have led to differential levels of success at controlling the spread of SARS-CoV-2. Ultimately, a more advanced surveillance metric for COVID-19 transmission is necessary to help government systems and national leaders understand which responses have been effective and gauge where outbreaks occur. Objective: The goal of this study is to provide advanced COVID-19 surveillance metrics for Canada at the country, province, and territory level that account for shifts in the pandemic including speed, acceleration, jerk, and persistence. Enhanced surveillance identifies risks for explosive growth and regions that have controlled outbreaks successfully. Methods: Using a longitudinal trend analysis study design, we extracted 62 days of COVID-19 data from Canadian public health registries for 13 provinces and territories. We used an empirical difference equation to measure the daily number of cases in Canada as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. Results: We compare the week of February 7-13, 2021, with the week of February 14-20, 2021. Canada, as a whole, had a decrease in speed from 8.4 daily new cases per 100,000 population to 7.5 daily new cases per 100,000 population. The persistence of new cases during the week of February 14-20 reported 7.5 cases that are a result of COVID-19 transmissions 7 days earlier. The two most populous provinces of Ontario and Quebec both experienced decreases in speed from 7.9 and 11.5 daily new cases per 100,000 population for the week of February 7-13 to speeds of 6.9 and 9.3 for the week of February 14-20, respectively. Nunavut experienced a significant increase in speed during this time, from 3.3 daily new cases per 100,000 population to 10.9 daily new cases per 100,000 population. Conclusions: Canada excelled at COVID-19 control early on in the pandemic, especially during the first COVID-19 shutdown. The second wave at the end of 2020 resulted in a resurgence of the outbreak, which has since been controlled. Enhanced surveillance identifies outbreaks and where there is the potential for explosive growth, which informs proactive health policy.
- Keyword:
- global COVID surveillance, COVID-19, COVID-21, new COVID strains, Canada Public Health Surveillance, Great COVID Shutdown, Canadian COVID-19, surveillance metrics, wave 2 Canada COVID-19, dynamic panel data, generalized method of the moments, Canadian econometrics, Canada SARS-CoV-2, Canadian COVID-19 surveillance system, Canadian COVID transmission speed, Canadian COVID transmission acceleration, COVID transmission deceleration, COVID transmission jerk, COVID 7-day lag
- Subject: MESH:
- SARS-CoV-2, COVID-19, Public Health Surveillance, Longitudinal Studies, Models, Statistical, Data Interpretation, Statistical
- Subject: Geographic Name:
- Canada, Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Northwest Territories, Nova Scotia, Nunavut, Ontario, Prince Edward Island, Quebec (Province), Saskatchewan, Yukon Territory
- Creator:
- Post, Lori Ann, Boctor, Michael Jacob, Issa, Tariq Ziad, Moss, Charles B, Murphy, Robert Leo, Achenbach, Chad J, Ison, Michael G, Resnick, Danielle, Singh, Lauren, White, Janine Inui, Welch, Sarah, Oehmke, James Francis
- Publisher:
- JMIR PUBLICATIONS, INC
- Language:
- English
- Date Created:
- 2021-05
- Rights:
- http://creativecommons.org/licenses/by/4.0/
- Resource Type:
- Article
- Original Identifier:
- (PMID) 33852410
- Title:
- Surveillance Metrics of SARS-CoV-2 Transmission in Central Asia: Longitudinal Trend Analysis
- Original Bibliographic Citation:
- Post LA, Benishay ET, Moss CB, Murphy RL, Achenbach CJ, Ison MG, Resnick D, Singh LN, White J, Chaudhury AS, Boctor MJ, Welch SB, Oehmke JF. Surveillance Metrics of SARS-CoV-2 Transmission in Central Asia: Longitudinal Trend Analysis. Journal of Medical Internet Research. 2021;23(2):15.
- Abstract:
- Background: SARS-CoV-2, the virus that caused the global COVID-19 pandemic, has severely impacted Central Asia; in spring 2020, high numbers of cases and deaths were reported in this region. The second wave of the COVID-19 pandemic is currently breaching the borders of Central Asia. Public health surveillance is necessary to inform policy and guide leaders; however, existing surveillance explains past transmissions while obscuring shifts in the pandemic, increases in infection rates, and the persistence of the transmission of COVID-19. Objective: The goal of this study is to provide enhanced surveillance metrics for SARS-CoV-2 transmission that account for weekly shifts in the pandemic, including speed, acceleration, jerk, and persistence, to better understand the risk of explosive growth in each country and which countries are managing the pandemic successfully. Methods: Using a longitudinal trend analysis study design, we extracted 60 days of COVID-19-related data from public health registries. We used an empirical difference equation to measure the daily number of cases in the Central Asia region as a function of the prior number of cases, level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. Results: COVID-19 transmission rates were tracked for the weeks of September 30 to October 6 and October 7-13, 2020, in Central Asia. The region averaged 11,730 new cases per day for the first week and 14,514 for the second week. Infection rates increased across the region from 4.74 per 100,000 persons to 5.66. Russia and Turkey had the highest 7-day moving averages in the region, with 9836 and 1469, respectively, for the week of October 6 and 12,501 and 1603, respectively, for the week of October 13. Russia has the fourth highest speed in the region and continues to have positive acceleration, driving the negative trend for the entire region as the largest country by population. Armenia is experiencing explosive growth of COVID-19; its infection rate of 13.73 for the week of October 6 quickly jumped to 25.19, the highest in the region, the following week. The region overall is experiencing increases in its 7-day moving average of new cases, infection, rate, and speed, with continued positive acceleration and no sign of a reversal in sight. Conclusions: The rapidly evolving COVID-19 pandemic requires novel dynamic surveillance metrics in addition to static metrics to effectively analyze the pandemic trajectory and control spread. Policy makers need to know the magnitude of transmission rates, how quickly they are accelerating, and how previous cases are impacting current caseload due to a lag effect. These metrics applied to Central Asia suggest that the region is trending negatively, primarily due to minimal restrictions in Russia.
- Keyword:
- SARS-CoV-2 surveillance, second wave, wave two, global COVID-19 surveillance, Central Asia public health surveillance, Central Asia COVID-19, Central Asia surveillance metrics, dynamic panel data, generalized method of moments, Central Asia econometrics, Central Asia SARS-CoV-2, Central Asia COVID-19 surveillance system, Central Asia COVID-19 transmission speed, Central Asia COVID transmission acceleration, COVID-19 transmission deceleration, COVID-19 transmission jerk, COVID-19 7-day lag, SARS-CoV-2, Arellano-Bond estimator, GMM, COVID-19, surveillance, longitudinal, trend, trend analysis, monitoring, public health, infectious disease, transmission, risk, management, policy, prevention
- Subject: MESH:
- SARS-CoV-2, COVID-19, Public Health Surveillance, Longitudinal Studies, Models, Statistical, Data Interpretation, Statistical, Health Policy
- Subject: Geographic Name:
- Armenia, Azerbaijan, Cyprus, Faroe Islands, Georgia (Republic), Gibraltar, Kazakhstan, Kosovo (Republic), Kyrgyzstan, Macedonia (Republic), Russia, Tajikistan, Turkmenistan, Uzbekistan, Turkey
- Creator:
- Post, Lori Ann, Benishay, Elana Tori, Moss, Charles B, Murphy, Robert Leo, Achenbach, Chad J, Ison, Michael G, Resnick, Danielle, Singh, Lauren Nadya, White, Janine Inui, Chaudhury, Azraa Sofia, Boctor, Michael Jacob, Welch, Sarah, Oehmke, James Francis
- Publisher:
- JMIR PUBLICATIONS, INC
- Language:
- English
- Date Created:
- 2021-02-03
- Rights:
- http://creativecommons.org/licenses/by/4.0/
- Resource Type:
- Article
- Original Identifier:
- (PMID) 33475513
- Title:
- What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask
- Original Bibliographic Citation:
- Kohane IS, Aronow BJ, Avillach P, Beaulieu-Jones BK, Bellazzi R, Bradford RL, Brat GA, Cannataro M, Cimino JJ, Garcia-Barrio N, Gehlenborg N, Ghassemi M, Gutierrez-Sacristan A, Hanauer DA, Holmes JH, Hong C, Klann JG, Loh NHW, Luo Y, Mandl KD, Daniar M, Moore JH, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Palmer N, Patel LP, Pedrera-Jimenez M, Sliz P, South AM, Tan ALM, Taylor DM, Taylor BW, Torti C, Vallejos AK, Wagholikar KB, Weber GM, Cai TX, Consortium Clinical C. What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. Journal of Medical Internet Research. 2021;23(3):9.
- Abstract:
- Coincident with the tsunami of COVID-19-related publications, there has been a surge of studies using real-world data, including those obtained from the electronic health record (EHR). Unfortunately, several of these high-profile publications were retracted because of concerns regarding the soundness and quality of the studies and the EHR data they purported to analyze. These retractions highlight that although a small community of EHR informatics experts can readily identify strengths and flaws in EHR-derived studies, many medical editorial teams and otherwise sophisticated medical readers lack the framework to fully critically appraise these studies. In addition, conventional statistical analyses cannot overcome the need for an understanding of the opportunities and limitations of EHR-derived studies. We distill here from the broader informatics literature six key considerations that are crucial for appraising studies utilizing EHR data: data completeness, data collection and handling (eg, transformation), data type (ie, codified, textual), robustness of methods against EHR variability (within and across institutions, countries, and time), transparency of data and analytic code, and the multidisciplinary approach. These considerations will inform researchers, clinicians, and other stakeholders as to the recommended best practices in reviewing manuscripts, grants, and other outputs from EHR-data derived studies, and thereby promote and foster rigor, quality, and reliability of this rapidly growing field.
- Keyword:
- COVID-19, electronic health records, real-world data, literature, publishing, quality, data quality, reporting standards, reporting checklist, review, statistics
- Subject: MESH:
- COVID-19, Electronic Health Records, Data Accuracy, Data Analysis, Review Literature as Topic, Data Interpretation, Statistical
- Creator:
- Kohane, Isaac S., Aronow, Bruce J., Avillach, Paul, Beaulieu-Jones, Brett K., Bellazzi, Riccardo, Bradford, Robert L., Brat, Gabriel A., Cannataro, Mario, Cimino, James J., Garcia-Barrio, Noelia, Gehlenborg, Nils, Ghassemi, Marzyeh, Gutierrez-Sacristan, Alba, Hanauer, David A., Holmes, John H., Hong, Chuan, Klann, Jeffrey G., Loh, Ne Hooi Will, Luo, Yuan, Mandl, Kenneth D., Daniar, Mohamad, Moore, Jason H., Murphy, Shawn N., Neuraz, Antoine, Ngiam, Kee Yuan, Omenn, Gilbert S., Palmer, Nathan, Patel, Lav P., Pedrera-Jimenez, Miguel, Sliz, Piotr, South, Andrew M., Tan, Amelia Li Min, Taylor, Deanne M., Taylor, Bradley W., Torti, Carlo, Vallejos, Andrew K., Wagholikar, Kavishwar B., Weber, Griffin M., Cai, Tianxi, The Consortium For Clinical Characterization Of COVID-19 By EHR (4CE)
- Publisher:
- JMIR PUBLICATIONS, INC
- Language:
- English
- Date Created:
- 2021-03-02
- Rights:
- http://creativecommons.org/licenses/by/4.0/
- Resource Type:
- Article
- Original Identifier:
- (PMID) 33600347
- Title:
- Coronavirus Disease-19: An Interim Evidence Synthesis of the World Association for Infectious Diseases and Immunological Disorders (Waidid)
- Original Bibliographic Citation:
- Abu-Raya B, Migliori GB, O'Ryan M, Edwards K, Torres A, Alffenaar JW, Martson AG, Centis R, D'Ambrosio L, Flanagan K, Hung I, Lauretani F, Leung CC, Leuridan E, Maertens K, Maggio MG, Nadel S, Hens N, Niesters H, Osterhaus A, Pontali E, Principi N, Silva DR, Omer S, Spanevello A, Sverzellati N, Tan TN, Torres-Torreti JP, Visca D, Esposito S. Coronavirus Disease-19: An Interim Evidence Synthesis of the World Association for Infectious Diseases and Immunological Disorders (Waidid). Frontiers in Medicine. 2020;7:20.
- Abstract:
- Coronavirus disease 2019 (COVID-19) is a rapidly evolving, highly transmissible, and potentially lethal pandemic caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of June 11 2020, more than 7,000,000 COVID-19 cases have been reported worldwide, and more than 400,000 patients have died, affecting at least 188 countries. While literature on the disease is rapidly accumulating, an integrated, multinational perspective on clinical manifestations, immunological effects, diagnosis, prevention, and treatment of COVID-19 can be of global benefit. We aimed to synthesize the most relevant literature and experiences in different parts of the world through our global consortium of experts to provide a consensus-based document at this early stage of the pandemic.
- Keyword:
- COVID-19, coronavirus, intensive care management, prevention, workplace safety, infection control, SARS-CoV-2, physical distancing
- Subject: MESH:
- COVID-19, SARS-CoV-2, Critical Care, Infection Control
- Creator:
- Abu-Raya, Bahaa, Migliori, Giovanni Battista, O'Ryan, Miguel, Edwards, Kathryn, Torres, Antoni, Alffenaar, Jan-Willem, Martson, Anne-Grete, Centis, Rosella, D'Ambrosio, Lia, Flanagan, Katie, Hung, Ivan, Lauretani, Fulvio, Leung, Chi Chi, Leuridan, Elke, Maertens, Kirsten, Maggio, Marcello Giuseppe, Nadel, Simon, Hens, Niel, Niesters, Hubert, Osterhaus, Albert, Pontali, Emanuele, Principi, Nicola, Rossato Silva, Denise, Omer, Saad, Spanevello, Antonio, Sverzellati, Nicola, Tan, Tina Quanbee, Torres-Torreti, Juan Pablo, Visca, Dina, Esposito, Susanna
- Publisher:
- FRONTIERS MEDIA SA
- Language:
- English
- Date Created:
- 2020-10-30
- Rights:
- http://creativecommons.org/licenses/by/4.0/
- Resource Type:
- Review
- Original Identifier:
- (PMID) 33195319