Last data update: May 06, 2024. (Total: 46732 publications since 2009)
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Query Trace: Calanan RM[original query] |
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CDC's guiding principles to promote an equity-centered approach to public health communication
Calanan RM , Bonds ME , Bedrosian SR , Laird SK , Satter D , Penman-Aguilar A . Prev Chronic Dis 2023 20 E57 A public health practitioner's mission is to protect and promote the health of all people in all communities. Components of being successful in that mission include understanding who is at risk of negative outcomes, identifying effective actions to promote and protect health, and communicating information accordingly. Information must be scientifically rigorous, provide appropriate contextualizing information, and refer to and visually represent people through words and images in respectful ways. Public health communication objectives include that the audience accepts, understands, and acts on the information to protect and promote health. This article describes the impetus for, development of, and public health applications and implications of principles to guide communication efforts. CDC's Health Equity Guiding Principles for Inclusive Communication is a web-based resource published in August 2021 that offers - but does not mandate - guidance and recommendations for public health practice. The resource can help public health practitioners and their partners consider social inequities and diversity, think more inclusively about the people they serve, and adapt to the cultural, linguistic, environmental, and historical situation of each population or audience of focus. Users are encouraged to have conversations about the Guiding Principles as they plan and develop communication products and strategies in collaboration with communities and partners and build a shared vocabulary consistent with how communities and groups of focus see and understand themselves, because words matter. As the public health field renews its focus on shifting the paradigm toward equity, a language and narrative shift is a vital intervention. |
Attitudes, beliefs, and perceptions associated with mask wearing within four racial and ethnic groups early in the COVID-19 pandemic
Earle-Richardson G , Nestor C , Fisher KA , Soelaeman RH , Calanan RM , Yee D , Craig C , Reese P , Prue CE . J Racial Ethn Health Disparities 2023 1-15 BACKGROUND: While previous studies have identified a range of factors associated with mask wearing in the US, little is known about drivers of mask-wearing among racial and ethnic minority groups. This analysis assessed whether factors positively associated with wearing a mask early in the pandemic differed between participants grouped by race/ethnicity (Hispanic, non-Hispanic Black, non-Hispanic Asian, and non-Hispanic White). METHOD: Data were obtained from a US internet panel survey of 3217 respondents during May-November 2020 (weighted by race/ethnicity, age, gender, and education to the US national population). Within each of the four available racial/ethnic groups, crude and adjusted odds ratios (COR and AOR) were calculated using logistic regression to assess factors positively associated with wearing a mask. Adjusted models were controlled for age, gender, education, county COVID-19 case count, presence of a state-issued mask mandate, and interview month. RESULTS: The following variables were most strongly positively associated with mask wearing (p<0.05) in each racial/ethnic group: Hispanic-seeing others wearing masks (AOR: 6.7), importance of wearing a mask combined with social distancing (AOR: 3.0); non-Hispanic Black-belief that wearing a mask would protect others from coronavirus (AOR: 5.1), reporting hearing that one should wear a mask (AOR: 3.6); non-Hispanic Asian-belief that people important to them believe they should wear a mask (COR: 5.1, not statistically significant); and non-Hispanic White-seeing others wearing masks (AOR: 3.1), importance of wearing a mask (AOR: 2.3). CONCLUSION: Public health efforts to encourage mask wearing should consider the diversity of behavioral influences within different population groups. |
Health equity: The missing data elements in healthcare outbreak response
Schrodt CA , Hart AM , Calanan RM , McLees AW , Perz JF , Perkins KM . Infect Control Hosp Epidemiol 2023 44 (5) 1-2 Racial and ethnic minority patients are disproportionately affected by healthcare-associated infections (HAIs).Reference Argamany, Delgado and Reveles1–Reference Fortin-Leung and Wiley4 Patients may be at increased risk due to the underlying influence of several factors such as demographics and comorbidities. Studies of patient-level risk factors for specific HAIs have focused on racial and ethnic inequities,Reference Argamany, Delgado and Reveles1–Reference Fortin-Leung and Wiley4 but less is known about other patient-level characteristics that may place patients at greater risk of HAIs during an outbreak or facility-level factors that may place a facility at greater risk of experiencing HAI outbreaks. Additional data are needed beyond what is currently routinely collected in outbreak investigations. Are certain patients more likely to experience harm (eg, increased exposure to pathogens, infection, morbidity, or mortality) if they are in a facility experiencing an HAI outbreak? Are certain facilities (eg, based on populations served, geography, or facility type) more likely to experience HAI outbreaks? Further research is needed to better understand which patient and facility-level factors play a role in differential risk of HAI outbreaks, and collecting these additional data can help elucidate these factors. |
Disaggregating Data to Measure Racial Disparities in COVID-19 Outcomes and Guide Community Response - Hawaii, March 1, 2020-February 28, 2021.
Quint JJ , Van Dyke ME , Maeda H , Worthington JK , Dela Cruz MR , Kaholokula JK , Matagi CE , Pirkle CM , Roberson EK , Sentell T , Watkins-Victorino L , Andrews CA , Center KE , Calanan RM , Clarke KEN , Satter DE , Penman-Aguilar A , Parker EM , Kemble S . MMWR Morb Mortal Wkly Rep 2021 70 (37) 1267-1273 Native Hawaiian and Pacific Islander populations have been disproportionately affected by COVID-19 (1-3). Native Hawaiian, Pacific Islander, and Asian populations vary in language; cultural practices; and social, economic, and environmental experiences,(†) which can affect health outcomes (4).(§) However, data from these populations are often aggregated in analyses. Although data aggregation is often used as an approach to increase sample size and statistical power when analyzing data from smaller population groups, it can limit the understanding of disparities among diverse Native Hawaiian, Pacific Islander, and Asian subpopulations(¶) (4-7). To assess disparities in COVID-19 outcomes among Native Hawaiian, Pacific Islander, and Asian populations, a disaggregated, descriptive analysis, informed by recommendations from these communities,** was performed using race data from 21,005 COVID-19 cases and 449 COVID-19-associated deaths reported to the Hawaii State Department of Health (HDOH) during March 1, 2020-February 28, 2021.(††) In Hawaii, COVID-19 incidence and mortality rates per 100,000 population were 1,477 and 32, respectively during this period. In analyses with race categories that were not mutually exclusive, including persons of one race alone or in combination with one or more races, Pacific Islander persons, who account for 5% of Hawaii's population, represented 22% of COVID-19 cases and deaths (COVID-19 incidence of 7,070 and mortality rate of 150). Native Hawaiian persons experienced an incidence of 1,181 and a mortality rate of 15. Among subcategories of Asian populations, the highest incidences were experienced by Filipino persons (1,247) and Vietnamese persons (1,200). Disaggregating Native Hawaiian, Pacific Islander, and Asian race data can aid in identifying racial disparities among specific subpopulations and highlights the importance of partnering with communities to develop culturally responsive outreach teams(§§) and tailored public health interventions and vaccination campaigns to more effectively address health disparities. |
Emergency Department Visits for COVID-19 by Race and Ethnicity - 13 States, October-December 2020.
Smith AR , DeVies J , Caruso E , Radhakrishnan L , Sheppard M , Stein Z , Calanan RM , Hartnett KP , Kite-Powell A , Rodgers L , Adjemian J . MMWR Morb Mortal Wkly Rep 2021 70 (15) 566-569 Hispanic or Latino (Hispanic), non-Hispanic Black or African American (Black), and non-Hispanic American Indian or Alaska Native (AI/AN) persons have experienced disproportionately higher rates of hospitalization and death attributable to COVID-19 than have non-Hispanic White (White) persons (1-4). Emergency care data offer insight into COVID-19 incidence; however, differences in use of emergency department (ED) services for COVID-19 by racial and ethnic groups are not well understood. These data, most of which are recorded within 24 hours of the visit, might be an early indicator of changing patterns in disparities. Using ED visit data from 13 states obtained from the National Syndromic Surveillance Program (NSSP), CDC assessed the number of ED visits with a COVID-19 discharge diagnosis code per 100,000 population during October-December 2020 by age and race/ethnicity. Among 5,794,050 total ED visits during this period, 282,220 (4.9%) were for COVID-19. Racial/ethnic disparities in COVID-19 ED visit rates were observed across age groups. Compared with White persons, Hispanic, AI/AN, and Black persons had significantly more COVID-19-related ED visits overall (rate ratio [RR] range = 1.39-1.77) and in all age groups through age 74 years; compared with White persons aged ≥75 years, Hispanic and AI/AN persons also had more COVID-19-related ED visits (RR = 1.91 and 1.22, respectively). These differences in ED visit rates suggest ongoing racial/ethnic disparities in COVID-19 incidence and can be used to prioritize prevention resources, including COVID-19 vaccination, to reach disproportionately affected communities and reduce the need for emergency care for COVID-19. |
Counties with High COVID-19 Incidence and Relatively Large Racial and Ethnic Minority Populations - United States, April 1-December 22, 2020.
Lee FC , Adams L , Graves SJ , Massetti GM , Calanan RM , Penman-Aguilar A , Henley SJ , Annor FB , Van Handel M , Aleshire N , Durant T , Fuld J , Griffing S , Mattocks L , Liburd L . MMWR Morb Mortal Wkly Rep 2021 70 (13) 483-489 Long-standing systemic social, economic, and environmental inequities in the United States have put many communities of color (racial and ethnic minority groups) at increased risk for exposure to and infection with SARS-CoV-2, the virus that causes COVID-19, as well as more severe COVID-19-related outcomes (1-3). Because race and ethnicity are missing for a proportion of reported COVID-19 cases, counties with substantial missing information often are excluded from analyses of disparities (4). Thus, as a complement to these case-based analyses, population-based studies can help direct public health interventions. Using data from the 50 states and the District of Columbia (DC), CDC identified counties where five racial and ethnic minority groups (Hispanic or Latino [Hispanic], non-Hispanic Black or African American [Black], non-Hispanic Asian [Asian], non-Hispanic American Indian or Alaska Native [AI/AN], and non-Hispanic Native Hawaiian or other Pacific Islander [NH/PI]) might have experienced high COVID-19 impact during April 1-December 22, 2020. These counties had high 2-week COVID-19 incidences (>100 new cases per 100,000 persons in the total population) and percentages of persons in five racial and ethnic groups that were larger than the national percentages (denoted as "large"). During April 1-14, a total of 359 (11.4%) of 3,142 U.S. counties reported high COVID-19 incidence, including 28.7% of counties with large percentages of Asian persons and 27.9% of counties with large percentages of Black persons. During August 5-18, high COVID-19 incidence was reported by 2,034 (64.7%) counties, including 92.4% of counties with large percentages of Black persons and 74.5% of counties with large percentages of Hispanic persons. During December 9-22, high COVID-19 incidence was reported by 3,114 (99.1%) counties, including >95% of those with large percentages of persons in each of the five racial and ethnic minority groups. The findings of this population-based analysis complement those of case-based analyses. In jurisdictions with substantial missing race and ethnicity information, this method could be applied to smaller geographic areas, to identify communities of color that might be experiencing high potential COVID-19 impact. As areas with high rates of new infection change over time, public health efforts can be tailored to the needs of communities of color as the pandemic evolves and integrated with longer-term plans to improve health equity. |
State-specific prevalence and characteristics of frequent mental distress and history of depression diagnosis among adults with arthritis - United States, 2017
Price JD , Barbour KE , Liu Y , Lu H , Amerson NL , Murphy LB , Helmick CG , Calanan RM , Sandoval-Rosario M , Samanic CM , Greenlund KJ , Thomas CW . MMWR Morb Mortal Wkly Rep 2020 68 (5152) 1173-1178 What is already known about this topic? Persons with arthritis have unique challenges because the interplay between anxiety, depression, and chronic pain is cyclical, with each having the potential to exacerbate the others. What is added by this report? In 2017, frequent mental distress and history of depression were commonly reported by adults with arthritis in all states, with clustering of high prevalence of frequent mental distress in Appalachian and southern states. What are the implications for public health practice? All adults with arthritis might benefit from systematic mental health screening by their health care team (if needed, referral to mental health services) and participation in evidence-based interventions such as physical activity and self-management education programs whose proven benefits include reduced pain and improved mental health. © 2020 Department of Health and Human Services. All rights reserved. |
Achieving excellence in the practice of chronic disease epidemiology
Calanan RM , Sandoval-Rosario M , Price JD , Samanic CM , Lu H , Barbour KE . Prev Chronic Dis 2018 15 E146 Heart disease, diabetes, cancer, arthritis, and other chronic diseases are the leading causes of death and disability and the leading drivers of health care costs in the United States (1). Health disparities and inequalities exist across chronic diseases, behavioral risk factors, environmental exposures, social determinants, and health care access by sex, race and ethnicity, income, education, disability status, and other social characteristics (2). A white paper developed by the Council of State and Territorial Epidemiologists’ (CSTE’s) Chronic Disease Epidemiology Capacity Building Workgroup stated that for 3 of the Essential Public Health Services — surveillance, communication, and consultation — chronic disease epidemiologists (CDEs) perform functions that are critical to health departments (3). Collecting, analyzing, interpreting, and disseminating data on chronic diseases and related risk factors is vital to understanding and raising awareness about morbidity, mortality, associated costs, and disparities. These data are also vital inputs throughout the process of implementing evidence-based public health approaches to reduce the burden of chronic diseases in the United States. |
Tularemia outbreak associated with outdoor exposure along the western side of Utah Lake, Utah, 2007
Calanan RM , Rolfs RT , Summers J , Coombs J , Amadio J , Holbrook J , Mead PS . Public Health Rep 2010 125 (6) 870-6 OBJECTIVES: In 2007, a localized outbreak of tularemia occurred among visitors to a lodge on the western side of Utah Lake, Utah. We assessed risk factors for disease and attempted to identify undiagnosed clinically compatible illnesses. METHODS: We conducted a retrospective cohort study by recruiting all people who had visited the lodge on the western side of Utah Lake from June 3 to July 28, 2007. A self-administered questionnaire was distributed to a sub-cohort of people who were part of an organized group that had at least one tularemia patient. Questions assessed risk and protective factors and disease symptoms. RESULTS: During the outbreak period, 14 cases of tularemia were reported from five of Utah's 12 health districts. The weekly attack rate ranged from 0 to 2.1/100 lodge visitors from June 3 to July 28. Illness onset dates ranged from June 15 to July 8. The median delay between onset of symptoms and laboratory test for tularemia was 14 days (range: 7-34 days). Cohort study respondents who reported deer-fly bites while at the lodge (adjusted risk ratio [ARR] = 7.2, 95% confidence interval [CI] 2.4, 22.0) and who reported having worn a hat (ARR = 5.6, 95% CI 1.3, 24.6) were more likely to become ill. CONCLUSIONS: This was Utah's second documented deer-fly-associated human tularemia outbreak. People participating in outdoor activities in endemic areas should be aware of disease risks and take precautions. Educational campaigns can aid in earlier disease recognition, reporting, and, consequently, outbreak detection. |
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- Page last updated:May 06, 2024
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