Screening for serious mental illness in a correctional setting.

BACKGROUND: Serious mental illness (SMI) is more common among adults in correctional settings than in the general population. No standard exists for SMI screening across correctional settings; SMI therefore often goes undetected in these facilities. Placing individuals with unidentified SMI who are incarcerated in general population cells increases their risk for self-harming behaviors, suicide, and for being victims or perpetrators of exploitation and violence. METHODS: This article describes a quantitative, descriptive study conducted to evaluate the use of the Brief Jail Mental Health Screen (BJMHS) tool to screen for possible SMI among individuals in a jail setting. RESULTS: A total of 89 individuals who were incarcerated in one jail setting were screened either with the facility's internally developed standard medical questionnaire (SMQ) or with the BJMHS. Findings showed that 28% screened positive for possible SMI using the BJMHS as compared with only 3% using the SMQ. CONCLUSION: The BJMHS flagged a higher number of possible instances of SMI than the jail's SMQ, potentially signifying its screening superiority. Identification of SMI leads to better care for individuals who are incarcerated, and it increases safety for the individual with SMI, the greater jail population, and jail staff. Findings from this study were shared with system leadership, which has replaced other screening tools with the BJMHS in at least 250 correctional facilities throughout the US.

An Integrative Review of the Barriers and Facilitators to Nurse Engagement in Quality Improvement in the Clinical Practice Setting.

BACKGROUND: Nurse engagement in quality improvement (QI) improves health care quality and outcomes but is typically low in clinical settings. PURPOSE: An integrative review was conducted to identify facilitators and barriers of nurse engagement in QI. METHODS: This integrative review was conducted using an electronic search of databases with search terms specific to nursing engagement in QI. The Johns Hopkins Nursing Evidence-Based Practice Evidence Level and Quality Guide was used to rate quality and level of evidence. RESULTS: Nine articles met the criteria for review. Top barriers were leadership, education and training, resource constraints, data, culture, and time. Top facilitators were leadership, education and training, culture, mentors, and champions. CONCLUSION: High-quality literature exploring barriers and facilitators of nurse engagement in QI is lacking. Research is needed to examine the degree to which these barriers and facilitators impact engagement and how they can be addressed to increase it.

Quality improvement engagement and competence: A comparison between frontline nurses and nurse leaders.

BACKGROUND: Nurses play a pivotal role in improving patient care. To maximize nurses' impact on quality, nurses must have quality improvement (QI) competence and engage fully in QI initiatives. PURPOSE: To describe QI competence (knowledge, skills, and attitudes) among frontline nurses and leaders; and compare variations in competence among nursing roles, experience, and specialty areas. METHODS: A total of 681 nurses at one heath system fully completed the Nursing Quality Improvement Practice tool electronically. FINDINGS: Half of the respondents reported QI engagement (53.6%). Mean knowledge scores were 5.08 (SD 1.16, 7 items). Skill proficiency was low (M = 2.82, SD = 1.03; range 1-6) although QI attitudes were favorable (M = 3.76, SD = 0.63; range 1-5). Significant differences in skills and attitudes were identified by role. QI competence among nurses employed in various specialty areas were similar. DISCUSSION: Strategies for increasing QI competence and engagement of nurses must be created and deployed in order to improve quality and safety.

Development of the Nursing Quality Improvement in Practice Tool: Advancing Frontline Nursing Practice.

BACKGROUND: Frontline nurse engagement in quality improvement (QI) improves nurse-sensitive outcomes; yet research suggests frontline nurses are not engaging in QI. PURPOSE: The purpose of this study was to develop, refine, and psychometrically evaluate the Nursing Quality Improvement in Practice (N-QuIP) tool to measure nurses' competency, engagement, and barriers/facilitators to QI engagement. METHODS: Item development was guided by an expert panel and literature review. Factor analysis and reliability indices were assessed through 681 surveys completed by nurses at one medical center. RESULTS: Cronbach α coefficients were 0.97 (Skill Scale) and 0.90 (Attitude Scale). Kuder-Richardson Formula 20 (KR-20) for knowledge was 0.36. Exploratory factor analysis identified 4 (Skill) and 3 (Attitude) subscales respectively, aligning well with QI competencies. CONCLUSIONS: Preliminary data suggest that the N-QuIP is a valid and reliable tool for assessing nurse QI competence and engagement. Understanding current knowledge, skills, and attitudes and identified barriers/facilitators can help the development of strategies aimed at increasing QI engagement.

Salivary Biomarkers, Oral Inflammation, and Functional Status in Patients With Heart Failure.

AIMS: To describe correlations and agreement between salivary and serum B-type natriuretic peptide (BNP), C-reactive protein (CRP), interleukin (IL)-6, and IL-10 and determine which biomarkers predict worse functional class in patients with heart failure (HF). METHODS: Serum and saliva were collected from 75 hospitalized patients with HF (57 ± 12 years, 43% female, New York Heart Association [NYHA] Classes I [4%], II [43%], and III [53%]). Oral inflammation was rated as good, fair, or poor. Spearman's ρ and Bland-Altman were used to determine correlations and agreement of the salivary and serum forms of each biomarker. Logistic regressions were used to determine which biomarkers predicted worse NYHA functional class, controlling for depression, body mass index, smoking, and oral inflammation. RESULTS: Median biomarker concentrations were as follows: BNP (serum 361 pg/ml, saliva 9 pg/ml), CRP (serum 13 ng/ml, saliva 25.6 ng/ml), IL-6 (serum 19.3 pg/ml, saliva 10.5 pg/ml), and IL-10 (serum 64.1 pg/ml, saliva 4.7 pg/ml). There was a moderate-to-strong correlation for serum-salivary CRP, weak correlation for serum-salivary IL-6, and no correlations for serum-salivary BNP and IL-10. The Bland-Altman test showed good salivary-serum agreement for all biomarkers, but as serum concentrations rose, salivary measures underestimated serum levels. Visible oral inflammation was the only predictor of worse NYHA class.

Self-efficacy mediates the relationship of depressive symptoms and social support with adherence in patients with heart failure.

Poor self-care is common among adults with heart failure and leads to poor health outcomes. Low self-efficacy, depression, and low social support are associated with poor self-care, but knowledge about these relationships in heart failure is limited. Secondary data analysis of cross-sectional data from 346 adults with heart failure measuring self-efficacy, depressive symptoms, social support, and self-care adherence was conducted. Tests of mediation using multiple linear regressions indicate that self-efficacy fully mediates the relationships between depression and adherence, and social support and adherence. Bolstering self-efficacy may have a greater impact on self-care adherence than targeting either depression or social support alone.

Use of a problem-based learning exercise to teach the lean 8-step problem-solving method.

Doctor of nursing practice (DNP) graduates must be prepared to lead quality improvement (QI) initiatives in health care settings; however, effective and feasible teaching strategies pose a challenge for many DNP program faculties. This article describes a successful and practical problem-based learning exercise for students to work through the QI process using the Lean 8-step problem-solving method. Suggestions for faculty and recommendations for future activities are discussed.

Depressive symptoms and inflammatory biomarkers in patients with heart failure.

BACKGROUND: Inflammation may be a link between depressive symptoms and outcomes in patients with heart failure. It is not clear whether inflammatory markers are independently related to depressive symptoms in this population. AIM: To determine which inflammatory biomarkers are independently associated with depressive symptoms in heart failure. METHODS AND RESULTS: We analyzed data from 428 outpatients enrolled in a heart failure registry (32% female, 61 ± 12 years, 48% New York Heart Association Class III/IV). Depressive symptoms were measured with the Beck Depression Inventory-II. Serum C-reactive protein (CRP), cytokines (interleukin 1 receptor antagonist, 2, 4, 6, 8, 10), tumor necrosis alpha, and soluble receptors sTNFR1 and sTNFR2 were measured with enzyme immunoassay. Multiple regressions were used to determine which biomarkers were associated with depressive symptoms controlling for demographics, heart failure severity, and clinical variables. Twenty-seven percent (n = 119) had depressive symptoms. CRP was related to depressive symptoms after controlling for age and gender, but no inflammatory biomarkers were associated with depressive symptoms after controlling for all variables in the model. CONCLUSIONS: There was no relationship between inflammatory biomarkers and depressive symptoms. Our findings, in combination with prior researchers', suggest there is not a robust relationship between depressive symptoms and individual biomarkers of inflammation in heart failure.