Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-8 (of 8 Records) |
Query Trace: Cordier L[original query] |
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Evaluating the dissemination of CDC's MyMobility Plan: Findings and lessons learned
Shakya I , Beck LF , Cordier L , Dugan S , Underwood Y , Bergen G . J Saf Res 2024 Introduction: Age-related changes (e.g., cognitive, physiologic) can affect an individual's mobility and increase risks for falls and motor-vehicle crashes, which are leading causes of injuries and injury deaths among older Americans. To address this issue, CDC developed MyMobility Plan (MMP) products to help older adults make plans to reduce injury risks and promote safe mobility. In 2019, MMP products were disseminated to older adults and partner organizations. Dissemination strategies consisted of digital and print distribution and partner outreach. Methods: To assess dissemination efforts, a process (or implementation) evaluation was conducted from January to June 2019. Data were collected for 17 indicators (e.g., counts of webpage visits, product downloads, social media posts). Key informant interviews were conducted with partners, and qualitative analyses of interview data were undertaken to identify key themes related to their dissemination experiences. Results: Findings showed the dissemination resulted in 13,425 product downloads and print copy orders and reached almost 155,000 individuals through email subscriber lists, websites, webinars, and presentations. It is unknown what proportion of these individuals were older adults. Social media metrics were higher than expected, and 58 partners promoted products within their networks. Partner interviews emphasized the need for guidance on dissemination, collaboration with local partners, and integration of the products within a program model to ensure broader reach to and use by older adults. Conclusions: The evaluation of the dissemination campaign identified strategies that were successful in creating exposure to the MMP and others that could improve reach in the future. Those strategies include meaningful and early partner engagement for dissemination. Practical applications: Building in evaluation from the start can facilitate development of appropriate data collection measures to assess project success. Engaging partners as active disseminators in the planning stages can help increase the reach of public health tools and resources. © 2024 |
Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach.
ElSherief M , Sumner SA , Jones CM , Law RK , Kacha-Ochana A , Shieber L , Cordier L , Holton K , De Choudhury M . J Med Internet Res 2021 23 (12) e30753 BACKGROUND: Expanding access to and use of medication for opioid use disorder (MOUD) is a key component of overdose prevention. An important barrier to the uptake of MOUD is exposure to inaccurate and potentially harmful health misinformation on social media or web-based forums where individuals commonly seek information. There is a significant need to devise computational techniques to describe the prevalence of web-based health misinformation related to MOUD to facilitate mitigation efforts. OBJECTIVE: By adopting a multidisciplinary, mixed methods strategy, this paper aims to present machine learning and natural language analysis approaches to identify the characteristics and prevalence of web-based misinformation related to MOUD to inform future prevention, treatment, and response efforts. METHODS: The team harnessed public social media posts and comments in the English language from Twitter (6,365,245 posts), YouTube (99,386 posts), Reddit (13,483,419 posts), and Drugs-Forum (5549 posts). Leveraging public health expert annotations on a sample of 2400 of these social media posts that were found to be semantically most similar to a variety of prevailing opioid use disorder-related myths based on representational learning, the team developed a supervised machine learning classifier. This classifier identified whether a post's language promoted one of the leading myths challenging addiction treatment: that the use of agonist therapy for MOUD is simply replacing one drug with another. Platform-level prevalence was calculated thereafter by machine labeling all unannotated posts with the classifier and noting the proportion of myth-indicative posts over all posts. RESULTS: Our results demonstrate promise in identifying social media postings that center on treatment myths about opioid use disorder with an accuracy of 91% and an area under the curve of 0.9, including how these discussions vary across platforms in terms of prevalence and linguistic characteristics, with the lowest prevalence on web-based health communities such as Reddit and Drugs-Forum and the highest on Twitter. Specifically, the prevalence of the stated MOUD myth ranged from 0.4% on web-based health communities to 0.9% on Twitter. CONCLUSIONS: This work provides one of the first large-scale assessments of a key MOUD-related myth across multiple social media platforms and highlights the feasibility and importance of ongoing assessment of health misinformation related to addiction treatment. |
Comorbid arthritis is associated with lower health-related quality of life in older adults with other chronic conditions, United States, 2013-2014
Havens E , Slabaugh SL , Helmick CG , Cordier T , Zack M , Gopal V , Prewitt T . Prev Chronic Dis 2017 14 E60 INTRODUCTION: Arthritis is related to poor health-related quality of life (HRQoL) in adults aged 18 years or older. We sought to determine whether this relationship persisted in an older population using claims-based arthritis diagnoses and whether people who also had arthritis and at least 1 of 5 other chronic conditions had lower HRQoL. METHODS: We identified adults aged 65 years or older with Medicare Advantage coverage in November or December 2014 who responded to an HRQoL survey (Healthy Days). For respondents with and without arthritis, we used linear regression to compare mean physically, mentally, and total unhealthy days, overall and in 5 comorbidity subgroups (coronary artery disease, congestive heart failure, chronic obstructive pulmonary disease, diabetes, and hypertension), accounting for age, sex, dual Medicaid/Medicare eligibility, rural/urban commuting area, and Charlson Comorbidity Index. RESULTS: Of the 58,975 survey respondents, 44% had arthritis diagnosed through claims. Respondents with arthritis reported significantly more adjusted mean physically, mentally, and total unhealthy days than those without arthritis (P < .001). Older adults with arthritis and either congestive heart failure, chronic obstructive pulmonary disease, diabetes, or hypertension reported significantly more adjusted physically, mentally, and total unhealthy days than older adults without arthritis but with the same chronic conditions. CONCLUSIONS: In older adults, having arthritis is associated with lower HRQoL and even lower HRQoL among those with at least 1 of 5 other common chronic conditions. Because arthritis is so common among older adults, improving HRQoL depends on managing both underlying chronic conditions and any accompanying arthritis. |
Leveraging health-related quality of life in population health management: the case for Healthy Days
Slabaugh SL , Shah M , Zack M , Happe L , Cordier T , Havens E , Davidson E , Miao M , Prewitt T , Jia H . Popul Health Manag 2016 20 (1) 13-22 Measuring population health with morbidity and mortality data, often collected at the site of care, fails to capture the individual's perspective on health and well-being. Because health happens outside the walls of medical facilities, a holistic and singular measure of health that can easily be captured for an entire population could aid in understanding the well-being of communities. This paper postulates that Healthy Days, a health-related quality of life measure developed and validated by the Centers for Disease Control and Prevention, is an ideal survey instrument to advance population health. A systematic literature review was conducted and revealed a strong evidence base using Healthy Days with significant correlations to chronic disease conditions. Building on the literature base and experience, methods for analyzing Healthy Days data are discussed, including stratified sampling techniques, statistical measures to account for variance, and modeling techniques for skewed distributions. Using such analytic techniques, Healthy Days has been used extensively in national health surveillance. As the health care system faces increasing costs and constrained resources, the Healthy Days survey instrument can be used to inform public policies and allocate health service resources. Because Healthy Days captures broad dimensions of health from the individual's perspective, it is a simple way to holistically measure the health and well-being of a population and its trend over time. Expanded use of Healthy Days can aid population health managers and contribute to the understanding of the broader determinants of the nation's and individual community's health and aid in evaluating progress toward health goals. (Population Health Management 2016;xx:xxx-xxx). |
Molecular Evidence of Sexual Transmission of Ebola Virus.
Mate SE , Kugelman JR , Nyenswah TG , Ladner JT , Wiley MR , Cordier-Lassalle T , Christie A , Schroth GP , Gross SM , Davies-Wayne GJ , Shinde SA , Murugan R , Sieh SB , Badio M , Fakoli L , Taweh F , de Wit E , van Doremalen N , Munster VJ , Pettitt J , Prieto K , Humrighouse BW , Stroher U , DiClaro JW , Hensley LE , Schoepp RJ , Safronetz D , Fair J , Kuhn JH , Blackley DJ , Laney AS , Williams DE , Lo T , Gasasira A , Nichol ST , Formenty P , Kateh FN , De Cock KM , Bolay F , Sanchez-Lockhart M , Palacios G . N Engl J Med 2015 373 (25) 2448-54 A suspected case of sexual transmission from a male survivor of Ebola virus disease (EVD) to his female partner (the patient in this report) occurred in Liberia in March 2015. Ebola virus (EBOV) genomes assembled from blood samples from the patient and a semen sample from the survivor were consistent with direct transmission. The genomes shared three substitutions that were absent from all other Western African EBOV sequences and that were distinct from the last documented transmission chain in Liberia before this case. Combined with epidemiologic data, the genomic analysis provides evidence of sexual transmission of EBOV and evidence of the persistence of infective EBOV in semen for 179 days or more after the onset of EVD. (Funded by the Defense Threat Reduction Agency and others.). |
Possible sexual transmission of Ebola virus - Liberia, 2015
Christie A , Davies-Wayne GJ , Cordier-Lasalle T , Blackley DJ , Laney AS , Williams DE , Shinde SA , Badio M , Lo T , Mate SE , Ladner JT , Wiley MR , Kugelman JR , Palacios G , Holbrook MR , Janosko KB , Wit Ed , Doremalen Nv , Munster VJ , Pettitt J , Schoepp RJ , Verhenne L , Evlampidou I , Kollie KK , Sieh SB , Gasasira A , Bolay F , Kateh FN , Nyenswah TG , De Cock KM . MMWR Morb Mortal Wkly Rep 2015 64 (17) 479-81 On March 20, 2015, 30 days after the most recent confirmed Ebola Virus Disease (Ebola) patient in Liberia was isolated, Ebola was laboratory confirmed in a woman in Monrovia. The investigation identified only one epidemiologic link to Ebola: unprotected vaginal intercourse with a survivor. Published reports from previous outbreaks have demonstrated Ebola survivors can continue to harbor virus in immunologically privileged sites for a period of time after convalescence. Ebola virus has been isolated from semen as long as 82 days after symptom onset and viral RNA has been detected in semen up to 101 days after symptom onset. One instance of possible sexual transmission of Ebola has been reported, although the accompanying evidence was inconclusive. In addition, possible sexual transmission of Marburg virus, a filovirus related to Ebola, was documented in 1968. This report describes the investigation by the Government of Liberia and international response partners of the source of Liberia's latest Ebola case and discusses the public health implications of possible sexual transmission of Ebola virus. Based on information gathered in this investigation, CDC now recommends that contact with semen from male Ebola survivors be avoided until more information regarding the duration and infectiousness of viral shedding in body fluids is known. If male survivors have sex (oral, vaginal, or anal), a condom should be used correctly and consistently every time. |
Controlling the last known cluster of Ebola virus disease - Liberia, January-February 2015
Nyenswah T , Fallah M , Sieh S , Kollie K , Badio M , Gray A , Dilah P , Shannon M , Duwor S , Ihekweazu C , Cordier-Lasalle T , Shinde SA , Hamblion E , Davies-Wayne G , Ratnesh M , Dye C , Yoder JS , McElroy P , Hoots B , Christie A , Vertefeuille J , Olsen SJ , Laney AS , Neal JJ , Navin TR , Coulter S , Pordell P , Lo T , Kinkade C , Mahoney F . MMWR Morb Mortal Wkly Rep 2015 64 (18) 500-4 As one of the three West African countries highly affected by the 2014-2015 Ebola virus disease (Ebola) epidemic, Liberia reported approximately 10,000 cases. The Ebola epidemic in Liberia was marked by intense urban transmission, multiple community outbreaks with source cases occurring in patients coming from the urban areas, and outbreaks in health care facilities (HCFs). This report, based on data from routine case investigations and contact tracing, describes efforts to stop the last known chain of Ebola transmission in Liberia. The index patient became ill on December 29, 2014, and the last of 21 associated cases was in a patient admitted into an Ebola treatment unit (ETU) on February 18, 2015. The chain of transmission was stopped because of early detection of new cases; identification, monitoring, and support of contacts in acceptable settings; effective triage within the health care system; and rapid isolation of symptomatic contacts. In addition, a "sector" approach, which divided Montserrado County into geographic units, facilitated the ability of response teams to rapidly respond to community needs. In the final stages of the outbreak, intensive coordination among partners and engagement of community leaders were needed to stop transmission in densely populated Montserrado County. A companion report describes the efforts to enhance infection prevention and control efforts in HCFs. After February 19, no additional clusters of Ebola cases have been detected in Liberia. On May 9, the World Health Organization declared the end of the Ebola outbreak in Liberia. |
Maternal urinary phthalates and phenols and male genital anomalies
Chevrier C , Petit C , Philippat C , Mortamais M , Slama R , Rouget F , Calafat AM , Ye X , Silva MJ , Charles MA , Cordier S . Epidemiology 2012 23 (2) 353-356 Concerns have been raised about adverse health effects from ubiquitous exposure during pregnancy to phthalates and phenols. Toxicologic data suggest that some of these compounds can disrupt the hormonal signaling that regulates male genital organogenesis. Evidence from the epidemiologic literature assessing association between in utero exposure to these compounds and male genital anomalies is limited and inconclusive.1–3 | We evaluated whether prenatal exposure to select phthalates and phenols was associated with occurrence of hypospadias and undescended testes in a case-control study (eTable 1, http://links.lww.com/EDE/A558) nested in the EDEN and PELAGIE mother–child cohorts (5200 pregnant women).4 Cases of hypospadias (n = 21) and undescended testis (unilateral or bilateral, not in scrotum, n = 50) were identified during the first days after birth by pediatricians or midwives. Three controls per case were selected among male singleton live births, matched with cases for residence area, gestational age at urine sample collection, and date and day of collection (Sunday–Monday vs. other). Urinary concentrations of 11 phthalate metabolites and 9 phenols (samples collected in the morning, eTable 2, http://links.lww.com/EDE/A558), determined without knowledge of case-control status, were standardized by sampling conditions that varied among participants using a 2-step standardization method based on regression residuals as described previously.4 As an alternative exposure metric, we used a specific job-exposure matrix (JEM).2,3 |
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- Page last updated:May 06, 2024
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