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Public health officials promoted COVID-19 vaccines to limit burdens placed on the U.S. healthcare system and end the pandemic. People in some closed religious communities refused to vaccinate and likely acquired temporary immunity through infection. This paper compares the death rates in Amish, Old Order Mennonites, and conservative Mennonite groups to a rate estimated for the U.S. population. Approximately two-thirds of the U.S. population was immunized against COVID-19, while few in the Amish/Mennonite community were. We find divergent patterns. Once vaccines became available, excess deaths declined in the general population and remained elevated among Amish and Mennonites. Vaccination campaigns must consider and value the cultural beliefs of closed religious communities to be effective. [ABSTRACT FROM AUTHOR]

The widespread adoption of science-based prevention requires local infrastructures for prevention service delivery. Communities That Care (CTC) is a tested prevention service delivery system that enables a local coalition of community stakeholders to use a science-based approach to prevention and improve the behavioral health of young people. This paper uses data from the Community Youth Development Study (CYDS), a community-randomized trial of CTC, to examine the extent to which better internal team functioning of CTC coalitions increases the community-wide adoption of science-based prevention within 12 communities, relative to 12 matched comparison communities. Specifically, this paper examines the potential of both a direct relationship between coalition functioning and the community-wide adoption of science-based prevention and a direct relationship between functioning and the coalition capacities that ultimately enable the adoption of science-based prevention. Findings indicate no evidence of a direct relationship between four dimensions of coalition functioning and the community-wide adoption of a science-based approach to prevention, but suggest a relationship between coalition functioning and coalition capacities (building new member skills and establishing external linkages with existing community organizations) that enable science-based prevention. [ABSTRACT FROM AUTHOR]

Purpose: The main purpose of this paper is to examine geographic variation in unmet need for mental health care among racially/ethnically diverse adults with psychiatric disorders in the US.Methods: Drawn from the Collaborative Psychiatric Epidemiology Surveys (CPES; 2001-2003), adults with any past year psychiatric disorder diagnosis (n = 3211) from diverse racial/ethnic backgrounds were selected for analyses. Using weighted data, descriptive analyses and logistic regression analyses were conducted.Results: Two-thirds of the total sample had unmet mental health care need, which differed significantly by race/ethnicity (p < .001). Logistic regression analyses show regional variation of the effect of race/ethnicity in unmet need: after adjusting for covariates, Latinos in the South, Blacks and Latinos in the Midwest, and Latinos and Asians in the West had higher unmet need than non-Hispanic Whites, whereas no significant racial/ethnic effects were found in the Northeast.Conclusions: Findings suggest that geographic region plays an important role in the sufficient use of mental health services among racial/ethnic minorities. Further research should elucidate reasons for geographic disparities in mental health care among racial/ethnic minority adults to reduce disparities. [ABSTRACT FROM AUTHOR]

Racial-ethnic minorities receive lower quality and intensity of health care compared with whites across a wide range of preventive, diagnostic, and therapeutic services and disease entities. These disparities in health care contribute to continuing racial-ethnic disparities in the burden of illness and death. Several national medical organizations and the Institute of Medicine have issued position papers and recommendations for the elimination of health care disparities. However, physicians in practice are often at a loss for how to translate these principles and recommendations into specific interventions in their own clinical practices. This paper serves as a blueprint for translating principles for the elimination of racial-ethnic disparities in health care into specific actions that are relevant for individual clinical practices. We describe what is known about reducing racial-ethnic disparities in clinical practice and make recommendations for how clinician leaders can apply this evidence to transform their own practices. [ABSTRACT FROM AUTHOR]

Objectives: The objective of this paper was to describe primary care prescribers' perspectives on electronic prescribing drug alerts at the point of prescribing.Design: We used a mixed-method study which included clinician surveys (web-based and paper) and focus groups with prescribers and staff.Participants: Prescribers (n = 157) working in one of 64 practices using 1 of 6 e-prescribing technologies in 6 US states completed the quantitative survey and 276 prescribers and staff participated in focus groups.Measurements: The study measures self-reported frequency of overriding of drug alerts; open-ended responses to: "What do you think of the drug alerts your software generates for you?"Results: More than 40% of prescribers indicated they override drug-drug interactions most of the time or always (range by e-prescribing system, 25% to 50%). Participants indicated that the software and the interaction alerts were beneficial to patient safety and valued seeing drug-drug interactions for medications prescribed by others. However, they noted that alerts are too sensitive and often unnecessary. Participant suggestions included: (1) run drug alerts on an active medication list and (2) allow prescribers to set the threshold for severity of alerts.Conclusions: Primary care prescribers recognize the patient safety value of drug prescribing alerts embedded within electronic prescribing software. Improvements to increase specificity and reduce alert overload are needed. [ABSTRACT FROM AUTHOR]

This paper discusses characteristics that are associated with enhanced maternal and child health (MCH) epidemiology functioning in state health agencies. The concept of the 'MCH Epidemiology Effort' is introduced as 'the epidemiologic work carried out by multiple units and agencies aimed at informing program planning and policy development on behalf of women, children and families.' This concept focuses attention on MCH epidemiology functioning at the organizational level rather than on individual MCH epidemiologists. The analysis used data from all 50 states and the District of Columbia. Each state participated in a telephone interview and submitted material that demonstrated the breadth, depth, and capacity of its MCH Epidemiology Effort. Several organizations, including the Council for State and Territorial Epidemiologists, the Health Resources and Services Administration/Maternal and Child Health Bureau, and the Centers for Disease Control and Prevention provided additional secondary data. The outcome for analysis was a three-category measure of MCH epidemiology functioning. The findings are consistent with, and add specificity to, those from prior assessments. In a multivariable model, agenda-setting by consensus, involvement of external stakeholders, the total of doctorally trained staff, and accessing CDC assignees or other staff were all significantly related to higher level MCH epidemiology functioning (ORs of 6.1, 6.6, 2.5, and 6.4, respectively; P < 0.05). Organizational visibility of the MCH Epidemiology Effort and a data environment marked by routine data-sharing and data integration were marginally related. We provide recommendations for action at the state and federal level for advancing evidence-based decision-making in maternal and child health. [ABSTRACT FROM AUTHOR]