Jasmine Travers

Abstract

It is time for nurses to step up and see themselves as a part of the solution to climate change. Propelling our efforts in policy, research, scholarship, clinical practice, and service as nurses and engaging our interprofessional colleagues are critical efforts as we move ahead in our call to action.

Abstract

BACKGROUND: Access to mental health care is a struggle for those with serious mental illness (SMI). About 25% of homeless suffer from SMI, compared with 4.2% of the general population. OBJECTIVE: From 2003 to 2012, St. Paul’s Center (SPC) operated a unique model to provide quality care to the homeless and those at risk for homelessness, incarceration, and unnecessary hospitalization because of SMI. Data were available for analysis for the years 2008 to 2010. DESIGN: The SPC was developed, managed, and staffed by board-certified psychiatric/mental health nurse practitioners, offering comprehensive mental health services and coordinated interventions. RESULTS: All clients were housed and none incarcerated. From 2008 to 2010, only 3% of clients were hospitalized, compared with 7.5% of adults with SMI. Clinical, academic, and community partnerships increased value, but Medicaid reimbursement was not available. CONCLUSION: Mental health provisions in the recently passed 21st Century Cures Act support community mental health specialty treatment. The SPC provides a template for similar nurse practitioner–led models.

Abstract

Objective/Study Question: To examine racial/ethnic differences in influenza and pneumococcal vaccination receipt and nonreceipt among nursing home (NH) residents post implementation of federal vaccination policy. Data Sources/Study Setting/Study Design/Data Collection/Extraction Methods: An analysis of a merged national cross-sectional dataset containing resident assessment, facility, and community data for years 2010–2013 was conducted. Logistic regressions omitting and including facility fixed effects were used to examine the influence of race and ethnicity (black, Hispanic, white) and black concentration on vaccination status across and within NHs. Principle Findings: Vaccination receipt of 107,874 residents in 742 NHs was examined. Blacks were less likely than whites to receive influenza and pneumococcal vaccinations (OR = 0.75; OR = 0.81, respectively, p-values <.001). The likelihood of not being offered the influenza vaccination was greater for blacks (OR=1.25, p =.004) and the likelihood of not being offered the pneumococcal vaccination was greater for Hispanics (OR = 1.65, p =.04) compared to whites. Fixed effects showed that within the same NH, Hispanics were more likely to receive both vaccinations compared to whites (OR=1.22, p =.004 (influenza); OR=1.34, p <.001 (pneumococcal)). Facilities highly concentrated with blacks accounted for large proportions of differences seen in vaccination receipt. Conclusions: Racial/ethnic differences remain despite policy changes. Focused strategies aimed at NH personnel and racially segregated NHs are critical to improving vaccination delivery and eliminating disparities in care.

Abstract

This systematic review analyzes research examining racial/ethnic disparities in influenza and pneumococcal vaccination coverage between White and racial/ethnic minority (Black and Hispanic) nursing home residents. A review of the literature for years 1966-2014 using Medline, Web of Science, and PubMed was conducted. The Epidemiological Appraisal Instrument was used to appraise the quality of the 13 included studies. Overall, articles were strong in reporting and data analysis, but weak in sample selection and measurement quality. Disparities between vaccination coverage among racial/ethnic minorities versus Whites ranged from 2% to 20% for influenza and 6% to 15% for pneumococcal vaccination. Researchers reported racial/ethnic minorities were more likely to refuse vaccinations and less likely to have vaccinations offered and their vaccination status tracked compared to Whites. Policies/strategies that focus on ensuring racial/ethnic minorities are offered influenza and pneumococcal vaccinations and their vaccination status are tracked in nursing homes are warranted. Updated evaluation on vaccination disparities is also needed.

Abstract

BACKGROUND Early career contact, between clinically focused DNP and research-focused PhD nursing students, may encourage desirable intradisciplinary synergies. AIMThe aim of the study was to assess relationships among DNP and PhD nursing students after initiating a doctoral student organization. METHOD An online survey assessed student interaction pre- and post-doctoral student organization implementation. Analysis consisted of paired t-test, social network analysis, and content analysis methods. RESULTS Response rates were 72 percent (n = 86) and 60 percent (n = 72) before and after implementation. Network density and centralization increased by 17 percent and 3 percent, respectively; intradisciplinary ties increased by 39 percent. The average student had approximately two new relationships; clique membership increased by 60 percent. Narrative responses corroborated network measurements. CONCLUSION We documented additional integration and organized communication among students after this strategy to increase collaboration. Educators preparing nurses to work across research and practice may consider network analysis methods to evaluate their efforts.

Abstract

Objective: The purpose of this systematic review and meta-analysis was to examine the effect of health information technology (HIT) diabetes self-management education (DSME) interventions on glycemic control in medically underserved patients. Materials and Methods: Following an a priori protocol, 5 databases were searched. Studies were appraised for quality using the Cochrane Risk of Bias assessment. Studies reporting either hemoglobin A1c pre- and post-intervention or its change at 6 or 12 months were eligible for inclusion in themeta-analysis using random effectsmodels. Results: Thirteen studies met the criteria for the systematic review and 10 for the meta-analysis and represent data from 3257 adults with diabetes (mean age 55 years; 66% female; 74% racial/ethnic minorities). Most studies (n=10) reflected an unclear risk of bias. Interventions varied by HIT type: computer software without Internet (n=2), cellular/automated telephone (n=4), Internet-based (n=4), and telemedicine/telehealth (n=3). Pooled A1c decreases were found at 6 months (-0.36 (95% CI, -0.53 and -0.19]; I2=35.1%, Q=5.0), with diminishing effect at 12 months (-0.27 [95% CI, -0.49 and -0.04]; I2=42.4%, Q=10.4). Discussion: Findings suggest that medically underserved patients with diabetes achieve glycemic benefit following HIT DSME interventions, with dissipating but significant effects at 12 months. Telemedicine/telehealth interventions were the most successful HIT type because they incorporated interaction with educators similar to in-person DSME. Conclusion: These results are similar to in-person DSME in medically underserved patients, showing that welldesigned HIT DSME has the potential to increase access and improve outcomes for this vulnerable group.

Abstract

OBJECTIVE: During the Great Recession in America, African-Americans opted to forgo healthcare more than other racial/ethnic groups. It is not understood whether disparities in forgone care returned to pre-recession levels. Understanding healthcare utilization patterns is important for informing subsequent efforts to decrease healthcare disparities. Therefore, we examined changes in racial disparities in forgone care before, during, and after the Great Recession.DESIGN: Data were pooled from the 2006-2013 National Health Interview Survey. Forgone medical, mental, and prescription care due to affordability were assessed among African-Americans and Whites. Time periods were classified as: pre-recession (May 2006-November 2007), early recession (December 2007-November 2008), late recession (December 2008-May 2010) and post-recession (June 2010-December 2013). Multivariable logistic regressions of race, interacted with time periods, were used to identify disparities in forgone care controlling for other demographics, health insurance coverage, and having a usual place for medical care across time periods. Adjusted Wald tests were performed to identify significant changes in disparities across time periods.RESULTS: The sample consisted of 110,746 adults. African-Americans were more likely to forgo medical care during the post- recession compared to Whites (OR = 1.16, CI = 1.06, 1.26); changes in foregone medical care disparities were significant in that they increased in the post-recession period compared to the pre-recession (OR = 1.17, CI = 1.08, 1.28 and OR = 0.89, CI = 0.77, 1.04, respectively, adjusted Wald Test p-value < 0.01). No changes in disparities were seen in prescription and mental forgone care.CONCLUSION: A persistent increase in forgone medical care disparities existed among African-Americans compared to Whites post-Great Recession and may be a result of outstanding issues related to healthcare access, cost, and quality. While health insurance is an important component of access to care, it alone should not be expected to remove these disparities due to other financial constraints. Additional strategies are necessary to close remaining gaps in care widened by the Great Recession.

Abstract

While electronic health records have emerged as promising tools to help improve quality of care, nursing homes have lagged behind in implementation. This study assessed electronic health records implementation, associated facility characteristics, and potential impact on quality indicators in nursing homes. Using national Centers for Medicare & Medicaid Services and survey data for nursing homes, a cross-sectional analysis was conducted to identify variations between nursing homes that had and had not implemented electronic health records. A difference-in-differences analysis was used to estimate the longitudinal effect of electronic health records on commonly used quality indicators. Data from 927 nursing homes were examined, 49.1% of which had implemented electronic health records. Nursing homes with electronic health records were more likely to be nonprofit/government owned (P =.04) and had a lower percentage of Medicaid residents (P =.02) and higher certified nursing assistant and registered nurse staffing levels (P =.002 and.02, respectively). Difference-in-differences analysis showed greater quality improvements after implementation for five long-stay and two short-stay quality measures (P =.001 and.01, respectively) compared with those who did not implement electronic health records. Implementation rates in nursing homes are low compared with other settings, and better-resourced facilities are more likely to have implemented electronic health records. Consistent with other settings, electronic health records implementation improves quality in nursing homes, but further research is needed to better understand the mechanism for improvement and how it can best be supported.

Abstract

Health care-associated infections are a leading cause of morbidity and mortality in US nursing home residents. Ongoing training of nursing home staff is vital to the implementation of infection prevention and control processes. Our aim was to describe associations between methods, frequency, and timing of staff infection prevention and control training and infection-related quality measures. In this national survey of nursing homes, timing of staff infection prevention and control training was associated with reduced indwelling urinary catheter use.

Abstract

Background: Schools are a key setting for childhood obesity interventions, yet nurses are not often included in delivering these interventions. The objective of this systematic review and meta-analysis was to examine school-based interventions involving nurses in a role beyond anthropometric measurement for effect on change in body measures. Methods: We performed a systematic review and meta-analysis of these papers. Results: The literature search produced 2412 articles. Eleven met inclusion criteria for the systematic review (4 randomized controlled trail [RCT], 7 quasi-experimental) and 8 for the meta-analysis. None have been included in prior meta-analyses. Four studies restricted eligibility to overweight and/or obese children; 7 included all children regardless of body weight. Random effects meta-analytic models represent data from 6050 (body mass index [BMI]), 5863 (BMIz), and 416 (BMI percentile) children, respectively. Pooled analyses demonstrated statistically significant decreases in BMI (6 studies: -0.48 [95% CI -0.84, -0.12]; I2=91.2%, Q=68.1), BMIz (5 studies: -0.10 [95% CI: -0.15, -0.05]; I2=0, Q=2.3), and BMI percentile (3 studies: -0.41 [95% CI: -0.60, -0.21]; I2=0, Q=2.0). Conclusions: These findings are similar to those of other meta-analyses of school-based interventions and suggest that school nurses can play a key role in implementing sustainable, effective school-based obesity interventions.