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105. Correction: The AURORA Study: a longitudinal, multimodal library of brain biology and function after traumatic stress exposure

Author

McLean, Samuel A., Ressler, Kerry, Koenen, Karestan Chase, Neylan, Thomas, Germine, Laura, Jovanovic, Tanja, Clifford, Gari D., Zeng, Donglin, An, Xinming, Linnstaedt, Sarah, Beaudoin, Francesca, House, Stacey, Bollen, Kenneth A., Musey, Paul, Hendry, Phyllis, Jones, Christopher W., Lewandowski, Christopher, Swor, Robert, Datner, Elizabeth, Mohiuddin, Kamran, Stevens, Jennifer S., Storrow, Alan, Kurz, Michael Christopher, McGrath, Meghan E., Fermann, Gregory J., Hudak, Lauren A., Gentile, Nina, Chang, Anna Marie, Peak, David A., Pascual, Jose L., Seamon, Mark J., Sergot, Paulina, Peacock, W. Frank, Diercks, Deborah, Sanchez, Leon D., Rathlev, Niels, Domeier, Robert, Haran, John Patrick, Pearson, Claire, Murty, Vishnu P., Insel, Thomas R., Dagum, Paul, Onnela, Jukka-Pekka, Bruce, Steven E., Gaynes, Bradley N., Joormann, Jutta, Miller, Mark W., Pietrzak, Robert H., Buysse, Daniel J., Pizzagalli, Diego A., Rauch, Scott L., Harte, Steven E., Young, Larry J., Barch, Deanna M., Lebois, Lauren A. M., van Rooij, Sanne J. H., Luna, Beatriz, Smoller, Jordan W., Dougherty, Robert F., Pace, Thaddeus W. W., Binder, Elisabeth, Sheridan, John F., Elliott, James M., Basu, Archana, Fromer, Menachem, Parlikar, Tushar, Zaslavsky, Alan M., and Kessler, Ronald

Published
2021
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106. International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci

Author

Nievergelt, Caroline M., Maihofer, Adam X., Klengel, Torsten, Atkinson, Elizabeth G., Chen, Chia-Yen, Choi, Karmel W., Coleman, Jonathan R. I., Dalvie, Shareefa, Duncan, Laramie E., Gelernter, Joel, Levey, Daniel F., Logue, Mark W., Polimanti, Renato, Provost, Allison C., Ratanatharathorn, Andrew, Stein, Murray B., Torres, Katy, Aiello, Allison E., Almli, Lynn M., Amstadter, Ananda B., Andersen, Søren B., Andreassen, Ole A., Arbisi, Paul A., Ashley-Koch, Allison E., Austin, S. Bryn, Avdibegovic, Esmina, Babić, Dragan, Bækvad-Hansen, Marie, Baker, Dewleen G., Beckham, Jean C., Bierut, Laura J., Bisson, Jonathan I., Boks, Marco P., Bolger, Elizabeth A., Børglum, Anders D., Bradley, Bekh, Brashear, Megan, Breen, Gerome, Bryant, Richard A., Bustamante, Angela C., Bybjerg-Grauholm, Jonas, Calabrese, Joseph R., Caldas- de- Almeida, José M., Dale, Anders M., Daly, Mark J., Daskalakis, Nikolaos P., Deckert, Jürgen, Delahanty, Douglas L., Dennis, Michelle F., Disner, Seth G., Domschke, Katharina, Dzubur-Kulenovic, Alma, Erbes, Christopher R., Evans, Alexandra, Farrer, Lindsay A., Feeny, Norah C., Flory, Janine D., Forbes, David, Franz, Carol E., Galea, Sandro, Garrett, Melanie E., Gelaye, Bizu, Geuze, Elbert, Gillespie, Charles, Uka, Aferdita Goci, Gordon, Scott D., Guffanti, Guia, Hammamieh, Rasha, Harnal, Supriya, Hauser, Michael A., Heath, Andrew C., Hemmings, Sian M. J., Hougaard, David Michael, Jakovljevic, Miro, Jett, Marti, Johnson, Eric Otto, Jones, Ian, Jovanovic, Tanja, Qin, Xue-Jun, Junglen, Angela G., Karstoft, Karen-Inge, Kaufman, Milissa L., Kessler, Ronald C., Khan, Alaptagin, Kimbrel, Nathan A., King, Anthony P., Koen, Nastassja, Kranzler, Henry R., Kremen, William S., Lawford, Bruce R., Lebois, Lauren A. M., Lewis, Catrin E., Linnstaedt, Sarah D., Lori, Adriana, Lugonja, Bozo, Luykx, Jurjen J., Lyons, Michael J., Maples-Keller, Jessica, Marmar, Charles, Martin, Alicia R., Martin, Nicholas G., Maurer, Douglas, Mavissakalian, Matig R., McFarlane, Alexander, McGlinchey, Regina E., McLaughlin, Katie A., McLean, Samuel A., McLeay, Sarah, Mehta, Divya, Milberg, William P., Miller, Mark W., Morey, Rajendra A., Morris, Charles Phillip, Mors, Ole, Mortensen, Preben B., Neale, Benjamin M., Nelson, Elliot C., Nordentoft, Merete, Norman, Sonya B., O’Donnell, Meaghan, Orcutt, Holly K., Panizzon, Matthew S., Peters, Edward S., Peterson, Alan L., Peverill, Matthew, Pietrzak, Robert H., Polusny, Melissa A., Rice, John P., Ripke, Stephan, Risbrough, Victoria B., Roberts, Andrea L., Rothbaum, Alex O., Rothbaum, Barbara O., Roy-Byrne, Peter, Ruggiero, Ken, Rung, Ariane, Rutten, Bart P. F., Saccone, Nancy L., Sanchez, Sixto E., Schijven, Dick, Seedat, Soraya, Seligowski, Antonia V., Seng, Julia S., Sheerin, Christina M., Silove, Derrick, Smith, Alicia K., Smoller, Jordan W., Sponheim, Scott R., Stein, Dan J., Stevens, Jennifer S., Sumner, Jennifer A., Teicher, Martin H., Thompson, Wesley K., Trapido, Edward, Uddin, Monica, Ursano, Robert J., van den Heuvel, Leigh Luella, Van Hooff, Miranda, Vermetten, Eric, Vinkers, Christiaan H., Voisey, Joanne, Wang, Yunpeng, Wang, Zhewu, Werge, Thomas, Williams, Michelle A., Williamson, Douglas E., Winternitz, Sherry, Wolf, Christiane, Wolf, Erika J., Wolff, Jonathan D., Yehuda, Rachel, Young, Ross McD., Young, Keith A., Zhao, Hongyu, Zoellner, Lori A., Liberzon, Israel, Ressler, Kerry J., Haas, Magali, and Koenen, Karestan C.

Published
2019
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107. Increase in the Life Expectancy of Patients with Cancer in the United States.

Author

Devasia, Theresa P., Howlader, Nadia, Dewar, Ron A., Stevens, Jennifer L., Mittu, Karen, and Mariotto, Angela B.

Abstract

Background: Cancer is becoming more of a chronic disease due to improvements in treatment and early detection for multiple cancer sites. To gain insight on increased life expectancy due to these improvements, we quantified trends in the loss in expectation of life (LEL) due to a cancer diagnosis for six cancer sites from 1975 through 2018. Methods: We focused on patients diagnosed with female breast cancer, chronic myeloid leukemia (CML), colon and rectum cancer, diffuse large B-cell lymphoma (DLBCL), lung cancer, or melanoma between 1975 and 2018 from nine Surveillance, Epidemiology, and End Results cancer registries. Life expectancies for patients with cancer ages 50+ were modeled using flexible parametric survival models. LEL was calculated as the difference between general population life expectancy and life expectancy for patients with cancer. Results: Over 2 million patients were diagnosed with one of the six cancers between 1975 and 2018. Large increases in life expectancy were observed between 1990 and 2010 for female breast, DLBCL, and CML. Patients with colon and rectum cancer and melanoma had more gradual improvements in life expectancy. Lung cancer LEL only began decreasing after 2005. Increases in life expectancy corresponded with decreases in LEL for patients with cancer. Conclusions: The reported gains in life expectancy largely correspond to progress in the screening, management, and treatment of these six cancers since 1975. [ABSTRACT FROM AUTHOR]

Published
2024
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114. Evaluation of Telehealth Visit Attendance After Implementation of a Patient Navigator Program

Author

Mechanic, Oren J, primary, Lee, Emma M., additional, Sheehan, Heidi M., additional, Dechen, Tenzin, additional, O’Donoghue, Ashley L., additional, Anderson, Timothy S., additional, Annas, Catherine, additional, Harvey, Leanne B., additional, Perkins, Allison A., additional, Severo, Michael A., additional, Stevens, Jennifer P., additional, and Kimball, Alexa B., additional

Published
2022
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117. Decline in Prenatal Buprenorphine/Naloxone Fills during the COVID-19 Pandemic in the United States.

Author

O'Donoghue, Ashley L., Reichheld, Alyse, Anderson, Timothy S., Zera, Chloe A., Dechen, Tenzin, and Stevens, Jennifer P.

Abstract

Objectives: Pregnancy provides a critical opportunity to engage individuals with opioid use disorder in care. However, before the COVID-19 pandemic, there were multiple barriers to accessing buprenorphine/naloxone during pregnancy. Care disruptions during the pandemic may have further exacerbated these existing barriers. To quantify these changes, we examined trends in the number of individuals filling buprenorphine/naloxone prescriptions during the COVID-19 pandemic. Methods: We estimated an interrupted time series model using linked national pharmacy claims and medical claims data from prepandemic (May 2019 to February 2020) to the pandemic period (April 2020 to December 2020). We estimated changes in the growth rate in the monthly number of individuals filling buprenorphine/naloxone prescriptions in the 6 months preceding a delivery claim, per 100,000 pregnancies, during the COVID-19 pandemic. Results: We identified 2947 pregnant individuals filling buprenorphine/naloxone prescriptions. Before the pandemic, there was positive growth in the monthly number of individuals filling buprenorphine/naloxone prescriptions (4.83%; 95% confidence interval [CI], 3.82-5.84%). During the pandemic, this monthly growth rate declined for both individuals on commercial insurance and individuals on Medicaid (all payers: -5.53% [95% CI, -6.65% to -4.41%]; Medicaid: -7.66% [95% CI, -10.14% to -5.18%]; Commercial: -3.59% [95% CI, -5.32% to -1.87%]). Conclusion: The number of pregnant individuals filling buprenorphine/naloxone prescriptions was increasing, but this growth has been lost during the pandemic. [ABSTRACT FROM AUTHOR]

Published
2023
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128. Validation of clinical risk models for predicting COVID-19 severity

Author

Aggarwal, Rahul, primary, Anderson, Timothy S, additional, Mohanty, Aditya, additional, Pinheiro, Adlin, additional, Ngo, Long, additional, Ahn, Andrew, additional, Peterson, Neal, additional, Dunlop, Mark, additional, Mawson, Thomas, additional, Lantsman, Taliya, additional, Forbath, Natalia, additional, Stevens, Jennifer P, additional, and Herzig, Shoshana J, additional

Published
2022
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130. Prevalence and predictors of opioid use before orthopaedic surgery in an Australian setting: A multicentre, cross-sectional, observational study

Author

Liu, Shania, Stevens, Jennifer A, Collins, Ashleigh E, Duff, Jed, Sutherland, Joanna R, Oddie, Morgan D, Naylor, Justine M, Patanwala, Asad E, Suckling, Benita M, and Penm, Jonathan

Abstract

Opioid analgesics are commonly used by patients awaiting orthopaedic surgery, and preoperative opioid use is associated with a greater burden of postoperative pain, suboptimal surgical outcomes and higher healthcare costs. This study aimed to examine the prevalence of total opioid use before elective orthopaedic surgery with a focus on regional and rural hospitals in New South Wales, Australia. This was a cross-sectional, observational study of patients undergoing orthopaedic surgery conducted between April 2017 and November 2019 across five hospitals that included a mix of metropolitan, regional, rural, private and public settings. Preoperative patient demographics, pain scores and analgesic use were collected during pre-admission clinic visits, held between two and six weeks before surgery. Of the 430 patients included, 229 (53.3%) were women and the mean age was 67.5 (standard deviation 10.1) years. The overall prevalence of total preoperative opioid use was 37.7% (162/430). Rates of preoperative opioid use ranged from 20.6% (13/63) at a metropolitan hospital to 48.8% (21/43) at an inner regional hospital. Multivariable logistic regression showed that the inner regional setting was a significant predictor of opioid use before orthopaedic surgery (adjusted odds ratio 2.6; 95% confidence interval 1.0 to 6.7) after adjusting for covariates. Opioid use prior to orthopaedic surgery is common and appears to vary by geographical location.

Published
2023
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131. Prevalence and predictors of long-term opioid use following orthopaedic surgery in an Australian setting: A multicentre, prospective cohort study

Author

Liu, Shania, Stevens, Jennifer A, Collins, Ashleigh E, Duff, Jed, Sutherland, Joanna R, Oddie, Morgan D, Naylor, Justine M, Patanwala, Asad E, Suckling, Benita M, and Penm, Jonathan

Abstract

Opioid analgesics prescribed for the management of acute pain following orthopaedic surgery may lead to unintended long-term opioid use and associated patient harms. This study aimed to examine the prevalence of opioid use at 90 days after elective orthopaedic surgery across major city, regional and rural locations in New South Wales, Australia. We conducted a prospective, observational cohort study of patients undergoing elective orthopaedic surgery at five hospitals from major city, regional, rural, public and private settings between April 2017 and February 2020. Data were collected by patient questionnaire at the pre-admission clinic 2–6 weeks before surgery and by telephone call after 90 days following surgery. Of the 361 participants recruited, 54% (195/361) were women and the mean age was 67.7 years (standard deviation 10.1 years). Opioid use at 90 or more days after orthopaedic surgery was reported by 15.8% (57/361; 95% confidence interval (CI) 12.2–20%) of all participants and ranged from 3.5% (2/57) at a major city location to 37.8% (14/37) at an inner regional location. Predictors of long-term postoperative opioid use in the multivariable analysis were surgery performed at an inner regional location (adjusted odds ratio 12.26; 95% CI 2.2–68.24) and outer regional location (adjusted odds ratio 5.46; 95% CI 1.09–27.50) after adjusting for known covariates. Long-term opioid use was reported in over 15% of patients following orthopaedic surgery and appears to be more prevalent in regional locations in Australia.

Published
2023
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132. Growth In Patient Cost Sharing For Hospitalizations With And Without Intensive Care Among Commercially Insured Patients

Author

Kannan, Sneha, Stevens, Jennifer, and Song, Zirui

Abstract

Intensive care units (ICUs) are increasingly used for hospital care, yet out-of-pocket spending for ICU hospitalizations remains poorly understood, particularly among the nearly half of the US population with commercial health insurance. Using 2008–19 MarketScan data, we compared 1,441,810 hospitalizations involving ICU services with 13,011,208 hospitalizations that did not involve ICU services. Average cost sharing, adjusted for patient and admission factors, increased from $1,137 per hospitalization in 2008 to $1,539 in 2019, or a 34 percent increase. This was driven by increasing deductibles, which rose by 163 percent. Across twenty clinical conditions whose hospitalizations commonly occurred in both ICU and non-ICU settings, ICU admission was associated with $155 higher cost sharing (13.0 percent higher) relative to cost sharing in non-ICU hospitalizations. Patients with high-deductible plans faced the highest cost sharing relative to those with other plan types. Patients who received out-of-network hospital care encountered higher cost sharing relative to those admitted to in-network hospitals with in-network clinicians.

Published
2023
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136. Assessment of a Crisis Standards of Care Scoring System for Resource Prioritization and Estimated Excess Mortality by Race, Ethnicity, and Socially Vulnerable Area During a Regional Surge in COVID-19

Author

Riviello, Elisabeth D., primary, Dechen, Tenzin, additional, O’Donoghue, Ashley L., additional, Cocchi, Michael N., additional, Hayes, Margaret M., additional, Molina, Rose L., additional, Moraco, Nicole H., additional, Mosenthal, Anne, additional, Rosenblatt, Michael, additional, Talmor, Noa, additional, Walsh, Daniel P., additional, Sontag, David N., additional, and Stevens, Jennifer P., additional

Published
2022
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139. Utility of Wrist-Wearable Data for Assessing Pain, Sleep, and Anxiety Outcomes After Traumatic Stress Exposure.

Author

Straus, Laura D., An, Xinming, Ji, Yinyao, McLean, Samuel A., Neylan, Thomas C., Cakmak, Ayse S., Richards, Anne, Clifford, Gari D., Liu, Mochuan, Zeng, Donglin, House, Stacey L., Beaudoin, Francesca L., Stevens, Jennifer S., Linnstaedt, Sarah D., Germine, Laura T., Bollen, Kenneth A., Rauch, Scott L., Haran, John P., Storrow, Alan B., and Lewandowski, Christopher

Subjects
SLEEP interruptions, PAIN measurement, POST-traumatic stress disorder, SLEEP, ANXIETY, MEDICAL screening
Abstract

Key Points: Question: Can 24-hour rest-activity characteristics from wrist-wearable devices predict adverse posttraumatic neuropsychiatric symptoms following traumatic stress exposure? Findings: In this cohort study including 2021 participants observed over time after traumatic stress exposure, reduced 24-hour activity variance based on wrist accelerometry identified individuals with greater pain severity. Changes in several rest-activity measures were associated with changes in pain, sleep, and anxiety over time, and simple thresholds for these biomarkers identified individuals with good recovery for pain, sleep, and anxiety with high predictive value. Meaning: These findings suggest that wrist-activity biomarkers may have utility as screening tools for adverse pain, sleep, and anxiety symptom outcomes after trauma exposure. This cohort study evaluates whether wrist-wearable devices can provide useful biomarkers for recovery after traumatic stress exposure. Importance: Adverse posttraumatic neuropsychiatric sequelae after traumatic stress exposure are common and have higher incidence among socioeconomically disadvantaged populations. Pain, depression, avoidance of trauma reminders, reexperiencing trauma, anxiety, hyperarousal, sleep disruption, and nightmares have been reported. Wrist-wearable devices with accelerometers capable of assessing 24-hour rest-activity characteristics are prevalent and may have utility in measuring these outcomes. Objective: To evaluate whether wrist-wearable devices can provide useful biomarkers for recovery after traumatic stress exposure. Design, Setting, and Participants: Data were analyzed from a diverse cohort of individuals seen in the emergency department after experiencing a traumatic stress exposure, as part of the Advancing Understanding of Recovery After Trauma (AURORA) study. Participants recruited from 27 emergency departments wore wrist-wearable devices for 8 weeks, beginning in the emergency department, and completed serial assessments of neuropsychiatric symptoms. A total of 19 019 patients were screened. Of these, 3040 patients met study criteria, provided informed consent, and completed baseline assessments. A total of 2021 provided data from wrist-wearable devices, completed the 8-week assessment, and were included in this analysis. The data were randomly divided into 2 equal parts (n = 1010) for biomarker identification and validation. Data were collected from September 2017 to January 2020, and data were analyzed from May 2020 to November 2022. Exposures: Participants were recruited for the study after experiencing a traumatic stress exposure (most commonly motor vehicle collision). Main Outcomes and Measures: Rest-activity characteristics were derived and validated from wrist-wearable devices associated with specific self-reported symptom domains at a point in time and changes in symptom severity over time. Results: Of 2021 included patients, 1257 (62.2%) were female, and the mean (SD) age was 35.8 (13.0) years. Eight wrist-wearable device biomarkers for symptoms of adverse posttraumatic neuropsychiatric sequelae exceeded significance thresholds in the derivation cohort. One of these, reduced 24-hour activity variance, was associated with greater pain severity (r = −0.14; 95% CI, −0.20 to −0.07). Changes in 6 rest-activity measures were associated with changes in pain over time, and changes in the number of transitions between sleep and wake over time were associated with changes in pain, sleep, and anxiety. Simple cutoffs for these biomarkers identified individuals with good recovery for pain (positive predictive value [PPV], 0.85; 95% CI, 0.82-0.88), sleep (PPV, 0.63; 95% CI, 0.59-0.67, and anxiety (PPV, 0.76; 95% CI, 0.72-0.80) with high predictive value. Conclusions and Relevance: These findings suggest that wrist-wearable device biomarkers may have utility as screening tools for pain, sleep, and anxiety symptom outcomes after trauma exposure in high-risk populations. [ABSTRACT FROM AUTHOR]

Published
2023
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142. Gig worker typology and research agenda: advancing research for frontline service providers

Author

Davidson, Alexander, Gleim, Mark R., Johnson, Catherine M., and Stevens, Jennifer L.

Abstract

Purpose: The unique employment status of gig workers as independent contractors and their impact on consumers provide an important opportunity for the current research to understand gig workers' perceptions of their employment and how that affects job performance outcomes. These gig workers serve as the frontline service providers for platforms like Airbnb hosts, Lyft drivers and Wag walkers performing customer-facing services. However, their status as gig workers, not traditional employees, presents challenges to platforms. The purpose of this research is to gain insights into the profiles of gig workers, examine the challenges platforms have in retaining high-performing workers and provide a research agenda on this important group of frontline service providers. Design/methodology/approach: Incorporating variables deemed important in examining self-determination theory, a large-scale data collection via an online survey was administered, yielding 447 completed surveys. A two-step cluster analysis procedure was conducted to categorize sample respondents into four distinct groups. Findings: Four groups emerged from the cluster analysis, labeled “Ambivalent Outsider,” “Competent Cog,” “Independent Insider” and “Committed Comrade.” The results suggest that there are significant differences across all variables and groups based on gig worker responses and self-reported customer satisfaction scores. The gig worker profiles developed are then utilized to formulate research propositions that are the basis for the research agenda presented. Practical implications: The goal of many collaborative consumption platforms may be to hire Independent Insiders or Committed Comrades; however, that is difficult to attain with every hire. Thus, the segmentation results provide insights for companies seeking to hire, retain, and successfully motivate their workforce. Originality/value: Given the freedom and flexibility afforded to gig workers, and the importance they have on the service experience for customers, understanding their own perceptions of employment and performance is critical to ensuring a positive experience for all parties. Research on collaborative consumption has largely focused on consumers or the management of freelance workers with only tangential applicability to gig work. This paper offers a comprehensive research agenda for gig worker management based on the typology of gig workers created.

Published
2023
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144. Ventilator-Associated Pneumonia

Author

Maley, Jason H. and Stevens, Jennifer P.

Subjects
Ventilator-associated events, Multidrug resistant organisms, Ventilator-associated pneumonia, Article
Abstract

Ventilator-associated pneumonia occurs in patients who have been intubated for at least 2–3 days with significant exposure to hospital-acquired organisms. Treatment should be initiated rapidly and cover Pseudomonas aeruginosa, Escherichia coli, Klebsiella pneumonia, and methicillin-resistant Staphylococcus aureus(MRSA). Within 72 h or with the availability of culture results, antibiotics should be narrowed. Active research is on-going to identify patients at risk for ventilator-associated complications and to minimize the likelihood of infection in these patients.

Published
2019

145. Correction: Corrigendum: DICER1 and microRNA regulation in post-traumatic stress disorder with comorbid depression

Author

Wingo, Aliza P., Almli, Lynn M., Stevens, Jennifer S., Klengel, Torsten, Uddin, Monica, Li, Yujing, Bustamante, Angela C., Lori, Adriana, Koen, Nastassja, Stein, Dan J., Smith, Alicia K., Aiello, Allison E., Koenen, Karestan C., Wildman, Derek E., Galea, Sandro, Bradley, Bekh, Binder, Elisabeth B., Jin, Peng, Gibson, Greg, and Ressler, Kerry J.

Published
2016
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147. Abstract 12757: Impact of Social Vulnerability on Cardio-Oncology Mortality in the United States

Author

Ganatra, Sarju, primary, Dani, Sourbha, additional, Kumar, Ashish, additional, Khan, Safi U, additional, Neilan, Tomas, additional, Thavendiranathan, Paaladinesh, additional, Barac, Ana, additional, Hermann, Joerg, additional, Leja, Monika, additional, Deswal, Anita M, additional, Fradley, Michael, additional, Liu, Jennifer, additional, Ky, Bonnie, additional, Sadler, Diego B, additional, Asnani, Aarti, additional, Baldassarre, Lauren A, additional, Gupta, Dipti, additional, Yang, Eric, additional, Guha, Avirup, additional, Brown, Sherry-Ann, additional, Wadhera, Rishi, additional, Kazi, Dhruv S, additional, Stevens, Jennifer P, additional, Hayek, Salim, additional, Baron, Suzanne J, additional, Nasir, Khurram, additional, and Nohria, Anju, additional

Published
2021
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