keyword
https://read.qxmd.com/read/38815622/understanding-washington-state-s-low-uptake-to-lung-cancer-screening-in-two-steps-a-geospatial-analysis-of-patient-travel-time-and-healthcare-availability-of-imaging-sites
#1
JOURNAL ARTICLE
Allison C Welch, Jed A Gorden, Stephen J Mooney, Candice L Wilshire, Steven B Zeliadt
BACKGROUND: Early detection of lung cancer reduces cancer mortality; yet uptake for lung cancer screening (LCS) has been limited in Washington State. Geographic disparities contribute to low uptake, but do not wholly explain gaps in access for underserved populations. Other factors, such as an adequate workforce to meet population demand and the capacity of accredited screening facility sites must also be considered. RESEARCH QUESTION: What proportion of the eligible population for LCS have access to LCS facilities in Washington State? STUDY DESIGN AND METHODS: We used the enhanced two-step floating catchment (E2SFCA) model to evaluate how geographic accessibility in addition to availability of LCS imaging centers contribute to disparities...
May 28, 2024: Chest
https://read.qxmd.com/read/38809555/sweetened-beverage-tax-implementation-and-change-in-body-mass-index-among-children-in-seattle
#2
JOURNAL ARTICLE
Jessica C Jones-Smith, Melissa A Knox, Suman Chakrabarti, Jamie Wallace, Lina Walkinshaw, Stephen J Mooney, Jessica Godwin, David E Arterburn, Joanna Eavey, Nadine Chan, Brian E Saelens
IMPORTANCE: Sweetened beverage taxes have been associated with reduced purchasing of taxed beverages. However, few studies have assessed the association between sweetened beverage taxes and health outcomes. OBJECTIVE: To evaluate the association between the Seattle sweetened beverage tax and change in body mass index (BMI) among children. DESIGN, SETTING, AND PARTICIPANTS: In this longitudinal cohort study, anthropometric data were obtained from electronic medical records of 2 health care systems (Kaiser Permanente Washington [KP] and Seattle Children's Hospital Odessa Brown Children's Clinic [OBCC])...
May 1, 2024: JAMA Network Open
https://read.qxmd.com/read/38743639/evaluation-of-the-safer-use-of-antipsychotics-in-youth-study-on-population-level-antipsychotic-initiation-an-interrupted-time-series-analysis
#3
JOURNAL ARTICLE
Laura M West, Stephen J Mooney, Laura Chavez, Arne Beck, Gregory N Clarke, Chester J Pabiniak, Anne D Renz, Robert B Penfold
Background: Antipsychotics carry a higher-risk profile than other psychotropic medications and may be prescribed for youth with conditions in which other first-line treatments are more appropriate. This study aimed to evaluate the population-level effect of the Safer Use of Antipsychotics in Youth (SUAY) trial, which aimed to reduce person-days of antipsychotic use among participants. Methods: We conducted an interrupted time series analysis using segmented regression to measure changes in prescribing trends of antipsychotic initiation rates pre-SUAY and post-SUAY trial at four U...
May 14, 2024: Journal of Child and Adolescent Psychopharmacology
https://read.qxmd.com/read/38682047/residential-density-is-associated-with-bmi-trajectories-in-children-and-adolescents-findings-from-the-moving-to-health-study
#4
JOURNAL ARTICLE
Paula Maria Lozano, Jennifer F Bobb, Flavia P Kapos, Maricela Cruz, Stephen J Mooney, Philip M Hurvitz, Jane Anau, Mary Kay Theis, Andrea Cook, Anne Vernez Moudon, David E Arterburn, Adam Drewnowski
INTRODUCTION: This study investigates the associations between built environment features and 3-year BMI trajectories in children and adolescents. METHODS: This retrospective cohort study utilized electronic health records of individuals aged 5-18 years living in King County, Washington, from 2005 to 2017. Built environment features such as residential density; counts of supermarkets, fast-food restaurants, and parks; and park area were measured using SmartMaps at 1,600-meter buffers...
June 2024: AJPM Focus
https://read.qxmd.com/read/38659887/connectome-driven-neural-inventory-of-a-complete-visual-system
#5
Aljoscha Nern, Frank Loesche, Shin-Ya Takemura, Laura E Burnett, Marisa Dreher, Eyal Gruntman, Judith Hoeller, Gary B Huang, Michal Januszewski, Nathan C Klapoetke, Sanna Koskela, Kit D Longden, Zhiyuan Lu, Stephan Preibisch, Wei Qiu, Edward M Rogers, Pavithraa Seenivasan, Arthur Zhao, John Bogovic, Brandon S Canino, Jody Clements, Michael Cook, Samantha Finley-May, Miriam A Flynn, Imran Hameed, Kenneth J Hayworth, Gary Patrick Hopkins, Philip M Hubbard, William T Katz, Julie Kovalyak, Shirley A Lauchie, Meghan Leonard, Alanna Lohff, Charli A Maldonado, Caroline Mooney, Nneoma Okeoma, Donald J Olbris, Christopher Ordish, Tyler Paterson, Emily M Phillips, Tobias Pietzsch, Jennifer Rivas Salinas, Patricia K Rivlin, Ashley L Scott, Louis A Scuderi, Satoko Takemura, Iris Talebi, Alexander Thomson, Eric T Trautman, Lowell Umayam, Claire Walsh, John J Walsh, C Shan Xu, Emily A Yakal, Tansy Yang, Ting Zhao, Jan Funke, Reed George, Harald F Hess, Gregory S X E Jefferis, Christopher Knecht, Wyatt Korff, Stephen M Plaza, Sandro Romani, Stephan Saalfeld, Louis K Scheffer, Stuart Berg, Gerald M Rubin, Michael B Reiser
Vision provides animals with detailed information about their surroundings, conveying diverse features such as color, form, and movement across the visual scene. Computing these parallel spatial features requires a large and diverse network of neurons, such that in animals as distant as flies and humans, visual regions comprise half the brain's volume. These visual brain regions often reveal remarkable structure-function relationships, with neurons organized along spatial maps with shapes that directly relate to their roles in visual processing...
April 18, 2024: bioRxiv
https://read.qxmd.com/read/38589673/road-traffic-injuries-and-the-built-environment-in-bogot%C3%A3-colombia-2015-2019-a-cross-sectional-analysis
#6
JOURNAL ARTICLE
Hiwot Y Zewdie, Olga Lucia Sarmiento, Jose David Pinzón, Maria A Wilches-Mogollon, Pablo Andres Arbelaez, Laura Baldovino-Chiquillo, Dario Hidalgo, Luis Angel Guzman, Stephen J Mooney, Quynh C Nguyen, Tolga Tasdizen, D Alex Quistberg
Nine in 10 road traffic deaths occur in low- and middle-income countries (LMICs). Despite this disproportionate burden, few studies have examined built environment correlates of road traffic injury in these settings, including in Latin America. We examined road traffic collisions in Bogotá, Colombia, occurring between 2015 and 2019, and assessed the association between neighborhood-level built environment features and pedestrian injury and death. We used descriptive statistics to characterize all police-reported road traffic collisions that occurred in Bogotá between 2015 and 2019...
April 8, 2024: Journal of Urban Health
https://read.qxmd.com/read/38522176/acceptability-and-anticipated-effectiveness-of-a-safe-supply-of-opioids-among-people-who-inject-opioids-in-king-county-wa
#7
JOURNAL ARTICLE
Adam Palayew, Caleb J Banta-Green, Malika Lamont, Deaunte Damper, Courtney Moreno, Steven M Goodreau, Stephen J Mooney, Sara N Glick
BACKGROUND: Opioid overdose mortality in the US has exceeded one million deaths over the last two decades. A regulated opioid supply may help prevent future overdose deaths by reducing exposure to the unregulated opioid supply. We examined the acceptability, delivery model preference, and anticipated effectiveness of different regulated opioid models among people in the Seattle area who inject opioids. METHODS: We enrolled people who inject drugs in the 2022 Seattle-area National HIV Behavior Surveillance (NHBS) survey...
March 23, 2024: International Journal on Drug Policy
https://read.qxmd.com/read/38408408/a-tale-of-many-neighborhoods-latent-profile-analysis-to-derive-a-national-neighborhood-typology-for-the-us
#8
JOURNAL ARTICLE
Hiwot Y Zewdie, Jamaica R Robinson, Marc A Adams, Anjum Hajat, Jana A Hirsch, Brian E Saelens, Stephen J Mooney
INTRODUCTION: Neighborhoods are complex and multi-faceted. Analytic strategies used to model neighborhoods should reflect this complexity, with the potential to better understand how neighborhood characteristics together impact health. We used latent profile analysis (LPA) to derive a residential neighborhood typology applicable for census tracts across the US. METHODS: From tract-level 2015-2019 American Community Survey (ACS) five-year estimates, we selected five indicators that represent four neighborhood domains: demographic composition, commuting, socioeconomic composition, and built environment...
February 25, 2024: Health & Place
https://read.qxmd.com/read/38401397/neighborhood-built-and-food-environment-in-relation-to-glycemic-control-in-people-with-type-2-diabetes-in-the-moving-to-health-study
#9
JOURNAL ARTICLE
Dori E Rosenberg, Maricela F Cruz, Stephen J Mooney, Jennifer F Bobb, Adam Drewnowski, Anne Vernez Moudon, Andrea J Cook, Philip M Hurvitz, Paula Lozano, Jane Anau, Mary Kay Theis, David E Arterburn
OBJECTIVE: To examine whether built environment and food metrics are associated with glycemic control in people with type 2 diabetes. RESEARCH DESIGN AND METHODS: We included 14,985 patients with type 2 diabetes using electronic health records from Kaiser Permanente Washington. Patient addresses were geocoded with ArcGIS using King County and Esri reference data. Built environment exposures estimated from geocoded locations included residential unit density, transit threshold residential unit density, park access, and having supermarkets and fast food restaurants within 1600-m Euclidean buffers...
February 23, 2024: Health & Place
https://read.qxmd.com/read/38380940/regional-practice-variation-and-outcomes-in-the-standard-versus-accelerated-initiation-of-renal-replacement-therapy-in-acute-kidney-injury-starrt-aki-trial-a-post-hoc-secondary-analysis
#10
JOURNAL ARTICLE
Suvi T Vaara, Ary Serpa Neto, Rinaldo Bellomo, Neill K J Adhikari, Didier Dreyfuss, Martin Gallagher, Stephane Gaudry, Eric Hoste, Michael Joannidis, Ville Pettilä, Amanda Y Wang, Kianoush Kashani, Ron Wald, Sean M Bagshaw, Marlies Ostermann
OBJECTIVES: Among patients with severe acute kidney injury (AKI) admitted to the ICU in high-income countries, regional practice variations for fluid balance (FB) management, timing, and choice of renal replacement therapy (RRT) modality may be significant. DESIGN: Secondary post hoc analysis of the STandard vs. Accelerated initiation of Renal Replacement Therapy in Acute Kidney Injury (STARRT-AKI) trial (ClinicalTrials.gov number NCT02568722). SETTING: One hundred-fifty-three ICUs in 13 countries...
February 2024: Critical care explorations
https://read.qxmd.com/read/38374245/vitamin-a-deficiency-impairs-neutrophil-mediated-control-of-salmonella-via-slc11a1-in-mice
#11
JOURNAL ARTICLE
Kristen L Lokken-Toyli, Vladimir E Diaz-Ochoa, Lizbeth Camacho, Annica R Stull-Lane, Amber E R Van Hecke, Jason P Mooney, Ariel D Muñoz, Gregory T Walker, Daniela Hampel, Xiaowen Jiang, Jasmine C Labuda, Claire E Depew, Stephen J McSorley, Charles B Stephensen, Renée M Tsolis
In sub-Saharan Africa, multidrug-resistant non-typhoidal Salmonella serovars are a common cause of fatal bloodstream infection. Malnutrition is a predisposing factor, but the underlying mechanisms are unknown. Here we show that vitamin A deficiency, one of the most prevalent micronutrient deficits afflicting African children, increases susceptibility to disseminated non-typhoidal Salmonella disease in mice and impairs terminal neutrophil maturation. Immature neutrophils had reduced expression of Slc11a1, a gene that encodes a metal ion transporter generally thought to restrict pathogen growth in macrophages...
February 19, 2024: Nature Microbiology
https://read.qxmd.com/read/38196814/bicycle-infrastructure-and-the-incidence-rate-of-crashes-with-cars-a-case-control-study-with-strava-data-in-atlanta
#12
JOURNAL ARTICLE
Michael D Garber, Kari E Watkins, W Dana Flanders, Michael R Kramer, R L Felipe Lobelo, Stephen J Mooney, David J Ederer, Lauren E McCullough
INTRODUCTION: Bicycling has individual and collective health benefits. Safety concerns are a deterrent to bicycling. Incomplete data on bicycling volumes has limited epidemiologic research investigating safety impacts of bicycle infrastructure, such as protected bike lanes. METHODS: In this case-control study, set in Atlanta, Georgia, USA between 2016-10-01 and 2018-08-31, we estimated the incidence rate of police-reported crashes between bicyclists and motor vehicles (n = 124) on several types of infrastructure (off-street paved trails, protected bike lanes, buffered bike lanes, conventional bike lanes, and sharrows) per distance ridden and per intersection entered...
September 2023: Journal of Transport & Health
https://read.qxmd.com/read/37974319/novel-methods-of-identifying-individual-and-neighborhood-risk-factors-for-loss-to-follow-up-after-ophthalmic-screening
#13
JOURNAL ARTICLE
Noah Heilenbach, Titilola Ogunsola, Ceyhun Elgin, Dustin Fry, Mina Iskander, Yara Abazah, Ahmed Aboseria, Rahm Alshamah, Jad Alshamah, Stephen J Mooney, Gladys Maestre, Gina S Lovasi, Vipul Patel, Lama A Al-Aswad
PRCIS: Residence in a middle-class neighborhood correlated with lower follow-up compared to residence in more affluent neighborhoods. The most common explanations for not following up were the process of making an appointment and lack of symptoms. PURPOSE: To explore which individual and neighborhood-level factors influence follow-up as recommended after positive ophthalmic and primary care screening in a vulnerable population using novel methodologies. PARTICIPANTS: and Methods: From 2017 to 2018, 957 participants were screened for ophthalmic disease and cardiovascular risk factors as part of the Real-Time Mobile Teleophthalmology study...
October 20, 2023: Journal of Glaucoma
https://read.qxmd.com/read/37850028/measuring-changes-in-neighborhood-disorder-using-google-street-view-longitudinal-imagery-a-feasibility-study
#14
JOURNAL ARTICLE
Pedro Gullón, Dustin Fry, Jesse J Plascak, Stephen J Mooney, Gina S Lovasi
Few studies have used longitudinal imagery of Google Street View (GSV) despite its potential for measuring changes in urban streetscapes characteristics relevant to health, such as neighborhood disorder. Neighborhood disorder has been previously associated with health outcomes. We conducted a feasibility study exploring image availability over time in the Philadelphia metropolitan region and describing changes in neighborhood disorder in this region between 2009, 2014, and 2019. Our team audited Street View images from 192 street segments in the Philadelphia Metropolitan Region...
2023: Cities & health
https://read.qxmd.com/read/37847549/identifying-rare-circumstances-preceding-female-firearm-suicides-validating-a-large-language-model-approach
#15
JOURNAL ARTICLE
Weipeng Zhou, Laura C Prater, Evan V Goldstein, Stephen J Mooney
BACKGROUND: Firearm suicide has been more prevalent among males, but age-adjusted female firearm suicide rates increased by 20% from 2010 to 2020, outpacing the rate increase among males by about 8 percentage points, and female firearm suicide may have different contributing circumstances. In the United States, the National Violent Death Reporting System (NVDRS) is a comprehensive source of data on violent deaths and includes unstructured incident narrative reports from coroners or medical examiners and law enforcement...
October 17, 2023: JMIR Mental Health
https://read.qxmd.com/read/37670840/pediatric-emergency-department-visits-for-pedestrian-injuries-in-relation-to-the-enactment-of-complete-streets-policy
#16
JOURNAL ARTICLE
Jordee M Wells, Honggang Yi, Jingzhen Yang, Stephen J Mooney, Alex Quistberg, Julie C Leonard
INTRODUCTION: This study aimed to evaluate the rate of pediatric emergency department (ED) visits for pedestrian injuries in relation to the enactment of the Complete Streets policy. METHODS: The National Complete Streets policies were codified by county and associated with each hospital's catchment area and date of enactment. Pedestrian injury-related ED visits were identified across 40 children's hospitals within the Pediatric Health Information System (PHIS) from 2004 to 2014...
2023: Frontiers in Public Health
https://read.qxmd.com/read/37604111/evaluation-of-crowdsourced-mortality-prediction-models-as-a-framework-for-assessing-artificial-intelligence-in-medicine
#17
JOURNAL ARTICLE
Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Łukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D Mooney, Justin Guinney, Aaron Lee, Ali Salehzadeh-Yazdi, Alidivinas Prusokas, Anand Basu, Anas Belouali, Ann-Kristin Becker, Ariel Israel, Augustinas Prusokas, B Winter, Carlos Vega Moreno, Christoph Kurz, Dagmar Waltemath, Darius Schweinoch, Enrico Glaab, Gang Luo, Guanhua Chen, Helena U Zacharias, Hezhe Qiao, Inggeol Lee, Ivan Brugere, Jaewoo Kang, Jifan Gao, Julia Truthmann, JunSeok Choe, Kari A Stephens, Lars Kaderali, Lav R Varshney, Marcus Vollmer, Maria-Theodora Pandi, Martin L Gunn, Meliha Yetisgen, Neetika Nath, Noah Hammarlund, Oliver Müller-Stricker, Panagiotis Togias, Patrick J Heagerty, Peter Muir, Peter Banda, Renata Retkute, Ron Henkel, Sagar Madgi, Samir Gupta, Sanghoon Lee, Sean Mooney, Shabeeb Kannattikuni, Shamim Sarhadi, Shikhar Omar, Shuo Wang, Soumyabrata Ghosh, Stefan Neumann, Stefan Simm, Subha Madhavan, Sunkyu Kim, Thomas Von Yu, Venkata Satagopam, Vikas Pejaver, Yachee Gupta, Yonghwa Choi, Zofia Nawalany, Łukasz Charzewski, Aaron Lee, Ali Salehzadeh-Yazdi, Alidivinas Prusokas, Anand Basu, Anas Belouali, Ann-Kristin Becker, Ariel Israel, Augustinas Prusokas, B Winter, Carlos Vega Moreno, Christoph Kurz, Dagmar Waltemath, Darius Schweinoch, Enrico Glaab, Gang Luo, Guanhua Chen, Helena U Zacharias, Hezhe Qiao, Inggeol Lee, Ivan Brugere, Jaewoo Kang, Jifan Gao, Julia Truthmann, JunSeok Choe, Kari A Stephens, Lars Kaderali, Lav R Varshney, Marcus Vollmer, Maria-Theodora Pandi, Martin L Gunn, Meliha Yetisgen, Neetika Nath, Noah Hammarlund, Oliver Müller-Stricker, Panagiotis Togias, Patrick J Heagerty, Peter Muir, Peter Banda, Renata Retkute, Ron Henkel, Sagar Madgi, Samir Gupta, Sanghoon Lee, Sean Mooney, Shabeeb Kannattikuni, Shamim Sarhadi, Shikhar Omar, Shuo Wang, Soumyabrata Ghosh, Stefan Neumann, Stefan Simm, Subha Madhavan, Sunkyu Kim, Thomas Von Yu, Venkata Satagopam, Vikas Pejaver, Yachee Gupta, Yonghwa Choi, Zofia Nawalany, Łukasz Charzewski, Aaron Lee, Ali Salehzadeh-Yazdi, Alidivinas Prusokas, Anand Basu, Anas Belouali, Ann-Kristin Becker, Ariel Israel, Augustinas Prusokas, B Winter, Carlos Vega Moreno, Christoph Kurz, Dagmar Waltemath, Darius Schweinoch, Enrico Glaab, Gang Luo, Guanhua Chen, Helena U Zacharias, Hezhe Qiao, Inggeol Lee, Ivan Brugere, Jaewoo Kang, Jifan Gao, Julia Truthmann, JunSeok Choe, Kari A Stephens, Lars Kaderali, Lav R Varshney, Marcus Vollmer, Maria-Theodora Pandi, Martin L Gunn, Meliha Yetisgen, Neetika Nath, Noah Hammarlund, Oliver Müller-Stricker, Panagiotis Togias, Patrick J Heagerty, Peter Muir, Peter Banda, Renata Retkute, Ron Henkel, Sagar Madgi, Samir Gupta, Sanghoon Lee, Sean Mooney, Shabeeb Kannattikuni, Shamim Sarhadi, Shikhar Omar, Shuo Wang, Soumyabrata Ghosh, Stefan Neumann, Stefan Simm, Subha Madhavan, Sunkyu Kim, Thomas Von Yu, Venkata Satagopam, Vikas Pejaver, Yachee Gupta, Yonghwa Choi, Zofia Nawalany, Łukasz Charzewski, Aaron Lee, Ali Salehzadeh-Yazdi, Alidivinas Prusokas, Anand Basu, Anas Belouali, Ann-Kristin Becker, Ariel Israel, Augustinas Prusokas, B Winter, Carlos Vega Moreno, Christoph Kurz, Dagmar Waltemath, Darius Schweinoch, Enrico Glaab, Gang Luo, Guanhua Chen, Helena U Zacharias, Hezhe Qiao, Inggeol Lee, Ivan Brugere, Jaewoo Kang, Jifan Gao, Julia Truthmann, JunSeok Choe, Kari A Stephens, Lars Kaderali, Lav R Varshney, Marcus Vollmer, Maria-Theodora Pandi, Martin L Gunn, Meliha Yetisgen, Neetika Nath, Noah Hammarlund, Oliver Müller-Stricker, Panagiotis Togias, Patrick J Heagerty, Peter Muir, Peter Banda, Renata Retkute, Ron Henkel, Sagar Madgi, Samir Gupta, Sanghoon Lee, Sean Mooney, Shabeeb Kannattikuni, Shamim Sarhadi, Shikhar Omar, Shuo Wang, Soumyabrata Ghosh, Stefan Neumann, Stefan Simm, Subha Madhavan, Sunkyu Kim, Thomas Von Yu, Venkata Satagopam, Vikas Pejaver, Yachee Gupta, Yonghwa Choi, Zofia Nawalany, Łukasz Charzewski, Aaron Lee, Ali Salehzadeh-Yazdi, Alidivinas Prusokas, Anand Basu, Anas Belouali, Ann-Kristin Becker, Ariel Israel, Augustinas Prusokas, B Winter, Carlos Vega Moreno, Christoph Kurz, Dagmar Waltemath, Darius Schweinoch, Enrico Glaab, Gang Luo, Guanhua Chen, Helena U Zacharias, Hezhe Qiao, Inggeol Lee, Ivan Brugere, Jaewoo Kang, Jifan Gao, Julia Truthmann, JunSeok Choe, Kari A Stephens, Lars Kaderali, Lav R Varshney, Marcus Vollmer, Maria-Theodora Pandi, Martin L Gunn, Meliha Yetisgen, Neetika Nath, Noah Hammarlund, Oliver Müller-Stricker, Panagiotis Togias, Patrick J Heagerty, Peter Muir, Peter Banda, Renata Retkute, Ron Henkel, Sagar Madgi, Samir Gupta, Sanghoon Lee, Sean Mooney, Shabeeb Kannattikuni, Shamim Sarhadi, Shikhar Omar, Shuo Wang, Soumyabrata Ghosh, Stefan Neumann, Stefan Simm, Subha Madhavan, Sunkyu Kim, Thomas Von Yu, Venkata Satagopam, Vikas Pejaver, Yachee Gupta, Yonghwa Choi, Zofia Nawalany, Łukasz Charzewski
OBJECTIVE: Applications of machine learning in healthcare are of high interest and have the potential to improve patient care. Yet, the real-world accuracy of these models in clinical practice and on different patient subpopulations remains unclear. To address these important questions, we hosted a community challenge to evaluate methods that predict healthcare outcomes. We focused on the prediction of all-cause mortality as the community challenge question. MATERIALS AND METHODS: Using a Model-to-Data framework, 345 registered participants, coalescing into 25 independent teams, spread over 3 continents and 10 countries, generated 25 accurate models all trained on a dataset of over 1...
August 18, 2023: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/37423269/a-flexible-matching-strategy-for-matched-nested-case-control-studies
#18
JOURNAL ARTICLE
Andrew Ratanatharathorn, Stephen J Mooney, Benjamin A Rybicki, Andrew G Rundle
PURPOSE: Individual matching in case-control studies improves statistical efficiency over random selection of controls but can lead to selection bias if cases are excluded due to the lack of appropriate controls or residual confounding with less strict matching criteria. We introduce flex matching, an algorithm using multiple rounds of control selection with successively relaxed matching criteria to select controls for cases. METHODS: We simulated exposure-disease relationships in multiple cohort data sets with a range of confounding scenarios and conducted 16,800,000 nested case-control studies, comparing random selection of controls, strict matching, and flex matching...
July 7, 2023: Annals of Epidemiology
https://read.qxmd.com/read/37362398/associations-between-insurance-race-and-ethnicity-and-covid-19-hospitalization-beyond%C3%A2-underlying-health-conditions-a-retrospective-cohort-study
#19
JOURNAL ARTICLE
Kate H McConnell, Anjum Hajat, Coralynn Sack, Stephen J Mooney, Christine M Khosropour
INTRODUCTION: : People of lower socioeconomic position (SEP) and people of color (POC) experience higher risks of severe COVID-19, but understanding of these associations beyond the effect of underlying health conditions (UHCs) is limited. Moreover, few studies have focused on young adults, who have had the highest incidence of COVID-19 during much of the pandemic. METHODS: : We conducted a retrospective cohort study using electronic health record data from the University of Washington Medicine healthcare system...
June 12, 2023: AJPM Focus
https://read.qxmd.com/read/37350875/geospatial-divide-in-real-world-ehr-data-analytical-workflow-to-assess-regional-biases-and-potential-impact-on-health-equity
#20
JOURNAL ARTICLE
Serena Jinchen Xie, Flavia P Kapos, Stephen J Mooney, Sean Mooney, Kari A Stephens, Cynthia Chen, Andrea L Hartzler, Abhishek Pratap
Real-world data (RWD) like electronic health records (EHR) has great potential for secondary use by health systems and researchers. However, collected primarily for efficient health care, EHR data may not equitably represent local regions and populations, impacting the generalizability of insights learned from it. We assessed the geospatial representativeness of regions in a large health system EHR data using a spatial analysis workflow, which provides a data-driven way to quantify geospatial representation and identify adequately represented regions...
2023: AMIA Summits on Translational Science Proceedings
keyword
keyword
118833
1
2
Fetch more papers »
Fetching more papers... Fetching...
Remove bar
Read by QxMD icon Read
×

Save your favorite articles in one place with a free QxMD account.

×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"

We want to hear from doctors like you!

Take a second to answer a survey question.