Implementing an APRN-Led Integrated Behavioral Health Clinic in a Rural Community.

OBJECTIVE: A rural primary care clinic implemented an advance practice providers, including nurse practitioner (APRN)-led integrated behavioral health program to facilitate holistic health care delivery. METHODS: Implementation was facilitated by Health Resources and Services Administration Grant funding to a state University College of Nursing. The College formed an academic-practice partnership with a Federally Qualified Health Center (FQHC) to implement integrated care in a rural satellite clinic administered by the FQHC. An interdisciplinary team (two family APRNs, a psychiatric APRN, a licensed behavioral health provider, and the Grant Project Director who is a Psychiatric APRN and a licensed Psychologist) provided the integrated care based on the University of Washington's Collaborative Care Model. RESULTS: This brief report describes the implementation of integrated care during the clinic's first year, services provided, lessons learned, community response, and improvement in anxiety and depressive symptoms for patients who were treated for behavioral health problems. An exemplar illustrates how collaborative care addressed one patient's behavioral health and primary care needs. CONCLUSIONS: APRN-led collaborative care can expand access to holistic, affordable care in rural areas to improve mental health. Adaptation and flexibility in traditional roles may be necessary and determining post-grant access to funding for services will be necessary for sustainability.

Deep health: A qualitative, woman-centered perspective of health during pregnancy.

OBJECTIVE: To explore and define a woman-centered perspective on health during pregnancy. DESIGN: Qualitative study using abductive thematic analysis of semi-structured interview data. SETTING & PARTICIPANTS: Twenty pregnant participants, primarily single and low-income, were recruited from an urban women's health clinic in the Midwestern United States and interviewed during mid-to-late pregnancy. FINDINGS: Women experienced health as "deeper than physical health" to include emotional well-being, financial stability, and support. We defined the central theme of Deep Health to be an embodied sense of happiness, energy, stability, and purpose (Being) supported through positive health practices (Doing) and adequate financial and social resources (Having). KEY CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: While the Doing aspects of health are often a focal point for health promotion efforts in prenatal care, a restricted focus on lifestyle behaviors may contribute to a lack of shared understanding about health between women and their healthcare providers. Greater attention to the Being and Having aspects of health may work to bolster shared priorities for health between pregnant women and their providers.

Genetic associations with resilience to potentially traumatic events and vantage sensitivity to social support.

INTRODUCTION: Stress responses and mental health outcomes greatly vary when individuals are exposed to potentially traumatic events (PTEs). The Differential Susceptibility Model (DSM) (Pluess, 2015) suggests individual differences in stress responses are influenced by gene-environment interactions, with genes conferring reactivity. While individuals can be resilient (or vulnerable) to PTEs, they can also have vantage sensitivity (or resistance) to social support. This study examined whether selected genotypes moderated the effect of PTEs and social support on mental health. METHODS: This cross-sectional candidate gene study included 450 college students (M age = 20.4, 79.3 % women) who provided buccal cells for genotyping and completed measures of psychosocial variables. DNA was genotyped for 12 genetic variants. RESULTS: Hierarchical regression revealed that the Mental Health Inventory (MHI) was associated with the Trauma History Questionnaire (THQ), rs1800795 in IL-6, and THQ × rs1800795 [R2 = 0.10, F(3, 418) = 15.68, p < .01]. The MHI was associated with the Social Support Survey (SSS), rs4680 in COMT, and SSS × rs4680 [R2 = 0.24, F(3, 429) = 44.19, p < .01]. Only THQ and SSS survived multiple testing corrections. DISCUSSION: Findings partially support the DSM that the G/G genotype of rs1800795 in IL-6 is associated with resilience to PTEs, and the Met/Met genotype of rs4680 in COMT is associated with vantage sensitivity to social support. Limitations include cross-sectional design, limited PTE measurement, small convenience sample, and noncorrection for multiple significance test. Clinicians need to view resilience holistically and understand resilience is associated with psychosocial and genetic factors.

Social Support Buffers the Effects of Prenatal Depressed Mood: A Mixed-Methods Study.

BACKGROUND: Women use various coping strategies to deal with stress and depression. These strategies are shaped by social contexts over the life course and may attenuate and/or exacerbate the physiologic effects of depression. AIMS: The purpose of this study was to determine whether coping strategies (active, disengaged, or social support coping) moderate depression-related diurnal cortisol dysregulation and to explore how social context influences women's use of coping. METHODS: This was a mixed-methods study of pregnant women (N = 65) during mid-pregnancy. Cortisol was measured in saliva collected during the waking hours of the day. Participants completed the Edinburgh Depression Scale and the Brief COPE. A subset of the sample participated in semistructured qualitative interviews (n = 20). RESULTS: Social support coping, but not active or disengaged coping, moderated end-of-day cortisol levels. Among depressed women, higher use of social support was associated with lower and more dynamic (i.e., less flat) diurnal cortisol rhythms. The qualitative findings revealed how complex social dynamics related to financial insecurity, lack of mutuality, and social identity affected women's use of and access to social support. CONCLUSION: These findings support theories of the stress-buffering effects of social support. Future research is needed to examine how social determinants affect access to social support, and how early life social experiences condition women's adaptive formation of social support coping strategies over the life course. Clinically, these findings underscore the value of relationship-centered nursing care for depressed women.

Integrative Review of Early Life Adversity and Cortisol Regulation in Pregnancy.

OBJECTIVE: To synthesize published findings on the relationship between early life adversity and hypothalamic-pituitary-adrenal axis cortisol parameters in pregnant women. DATA SOURCES: We searched PubMed, CINAHL, and PsycINFO databases using variants and combinations of the keywords early life adversity, pregnancy, hypothalamic-pituitary-adrenal axis, and cortisol. STUDY SELECTION: We selected articles that included pregnant participants, included measures of cortisol and early life adversity, were published in English in a peer-reviewed journal, and were of sufficient methodologic quality. Date of publication was unrestricted through May 2020. DATA EXTRACTION: Twenty-five articles met the inclusion criteria and were evaluated for quality and risk of bias. Sources of cortisol included saliva, hair, plasma, and amniotic fluid. DATA SYNTHESIS: We categorized findings according to four physiologically distinct cortisol output parameters: diurnal (daily pattern), phasic (in response to an acute stressor), tonic (baseline level), and pregnancy-related change. Preliminary evidence suggests that early adversity may be associated with elevated cortisol awakening response (diurnal) and blunted response to acute stressors (phasic), irrespective of other psychosocial symptoms or current stress. For women with high levels of current stress or psychological symptoms, early adversity was associated with higher baseline (tonic) cortisol levels. CONCLUSION: Early life adversity in women is linked with alterations in cortisol regulation that are apparent during pregnancy. Researchers should examine how variations in each cortisol parameter differentially predict pregnancy health risk behaviors, maternal mental health, and neonatal health outcomes.

Early life adversity and depressive symptoms predict cortisol in pregnancy.

Evidence suggests that exposure to early life adversity (ELA) programs the hypothalamic-pituitary-adrenal (HPA) axis to influence responses to later adversity and predisposes women to depression. However, few studies have examined whether ELA moderates the HPA cortisol response to adulthood adversity and depressive symptoms in pregnant women. The aims of this study were to determine (a) whether ELA, adulthood adversity, and depressive symptoms differentially predict patterns of cortisol and (b) whether ELA moderates the relationship of adulthood adversity or depressive symptoms to cortisol. This was a descriptive, cross-sectional study of pregnant women (N = 58, mean = 26.5 weeks gestation). Participants completed the Stress and Adversity Inventory and Edinburgh Depression Scale and collected salivary cortisol five times per day for 3 days to assess cortisol awakening response (CAR), diurnal cortisol slope, and cortisol area under the curve (AUC). ELA predicted a larger CAR, while depressive symptoms predicted a blunted CAR and higher cortisol AUC. Adulthood adversity predicted a blunted CAR and steeper diurnal slope, but only in women with high ELA. ELA also moderated the effect of depressive symptoms on diurnal slope. Early adversity and depressive symptoms appear to have significant effects on the HPA axis during pregnancy, with early adversity also moderating effects of depressive symptoms and adulthood adversity on cortisol regulation. Early adversity may be an important factor in identifying unique HPA phenotypes and risk for HPA axis dysregulation in pregnancy.

A Systematic Review of Genetic Influence on Psychological Resilience.

When exposed to adversity, some individuals are at an increased risk of posttraumatic stress disorder, experiencing persistent biopsychosocial disturbances, whereas others adapt well, described as resilience. Resilience is a complex biopsychosocial phenomenon conceptualized as adaptation to adversity influenced by an individual's genetic variants, epistasis, epigenetics, and gene-by-environment interactions. Studies on psychological resilience have focused on behavioral and psychosocial variables with far less examination of the genetic contributions. The purpose of this review is to identify specific genetic variants contributing to the biological capacity for psychological resilience. PubMed and PsycINFO were searched using the following key words: psychological resilience AND genotype(s). Additional articles were identified from the Human Genome Epidemiology Navigator using the term resilience, psychological. Ten studies met the criteria. Six genes were empirically associated with psychological resilience: serotonin-transporter-linked polymorphic region ( 5-HTTLPR), dopamine receptor D4, brain-derived neurotrophic factor ( BDNF), corticotropin-releasing hormone receptor 1, oxytocin receptor and regulator of G-protein signaling 2 . The findings of this systematic review suggest that the L/L or L'/L' genotype of 5-HTTLPR and rs25531 in children/adolescents and the S/S or S'/S' genotype in adults are most frequently related to resilience. Additionally, the Val/Val genotype of rs6265 in BDNF in Caucasians was also associated with resilience. There are numerous factors contributing to the complexity of determining the genetic influence on resilience including analysis of rs25531, assumptions of the mode of inheritance, operationalization of resilience, demographic and population characteristics, sample size, and other types of genetic influence including epistasis and epigenetics. While current evidence is supportive, further investigation of the genetic influence on resilience is required.

Can CAPTURE be used to identify undiagnosed patients with mild-to-moderate COPD likely to benefit from treatment?

Background: COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE™) uses five questions and peak expiratory flow (PEF) thresholds (males ≤350 L/min; females ≤250 L/min) to identify patients with a forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) <0.70 and FEV1 <60% predicted or exacerbation risk requiring further evaluation for COPD. This study tested CAPTURE's ability to identify symptomatic patients with mild-to-moderate COPD (FEV1 60%-80% predicted) who may also benefit from diagnosis and treatment. Methods: Data from the CAPTURE development study were used to test its sensitivity (SN) and specificity (SP) differentiating mild-to-moderate COPD (n=73) from no COPD (n=87). SN and SP for differentiating all COPD cases (mild to severe; n=259) from those without COPD (n=87) were also estimated. The modified Medical Research Council (mMRC) dyspnea scale and COPD Assessment Test (CAT™) were used to evaluate symptoms and health status. Clinical Trial Registration: NCT01880177, https://ClinicalTrials.gov/ct2/show/NCT01880177?term=NCT01880177&rank=1. Results: Mean age (+SD): 61 (+10.5) years; 41% male. COPD: FEV1/FVC=0.60 (+0.1), FEV1% predicted=74% (+12.4). SN and SP for differentiating mild-to-moderate and non-COPD patients (n=160): Questionnaire: 83.6%, 67.8%; PEF (≤450 L/min; ≤350 L/min): 83.6%, 66.7%; CAPTURE (Questionnaire+PEF): 71.2%, 83.9%. COPD patients whose CAPTURE results suggested that diagnostic evaluation was warranted (n=52) were more likely to be symptomatic than patients whose results did not (n=21) (mMRC >2: 37% vs 5%, p<0.01; CAT>10: 86% vs 57%, p<0.01). CAPTURE differentiated COPD from no COPD (n=346): SN: 88.0%, SP: 83.9%. Conclusion: CAPTURE (450/350) may be useful for identifying symptomatic patients with mild-to-moderate airflow obstruction in need of diagnostic evaluation for COPD.

A Concept Analysis of Resilience Integrating Genetics.

Although clinicians and researchers are interested in the phenomenon of resilience, there is no agreed-upon definition of resilience. Scientific evidence suggests that resilience is influenced by intrapersonal (e.g. personality traits) and environmental (e.g. social support) variables. A concept analysis was conducted to better understand the meaning of resilience. In this analysis, the antecedent of resilience was a potentially traumatic event; the defining attributes were ego-resiliency, emotion regulation, social support, and heredity; and the consequences were none to mild psychopathological symptoms and positive adaptation. This analysis can help nurses better understand resilience and its relationships to both intrapersonal and environmental variables.

How Well Does CAPTURE Translate?: An Exploratory Analysis of a COPD Case-Finding Method for Spanish-Speaking Patients.

BACKGROUND: This study tested the properties of a Spanish translation of CAPTURE (COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk) with selective use of peak expiratory flow (PEF). METHODS: This study comprised analyses of data from the Spanish-speaking cohort of the cross-sectional, case-control study used to develop CAPTURE. Translation procedures included forward and backward translation, reconciliation, and cognitive interviewing to assure linguistic and cultural equivalence, yielding CAPTURE-S. Spanish-speaking participants were recruited through one center and designated as case subjects (clinically significant COPD: FEV1 ≤ 60% predicted and/or at risk of COPD exacerbation) or control subjects (no or mild COPD). Subjects completed a questionnaire booklet that included 44 candidate items, the COPD Assessment Test (CAT), and the modified Medical Research Council (mMRC) dyspnea question. PEF and spirometry were also performed. RESULTS: The study included 30 participants (17 case subjects and 13 control subjects). Their mean (± SD) age was 62.6 (11.49) years, and 33% were male. CAPTURE-S scores were significantly correlated with PEF (r = -0.78), the FEV1/FVC ratio (r = -0.74), FEV1 (r = -0.69), FEV1 % predicted (r = -0.69), the CAT score (r = 0.70), and the mMRC dyspnea question (r = 0.59) (P < .0001), with significantly higher scores in case subjects than in control subjects (t = 6.16; P < .0001). PEF significantly correlated with FEV1 (r = 0.89), FEV1 % predicted (r = 0.79), and the FEV1/FVC ratio (r = 0.75) (P < .0001), with significantly lower PEF in case subjects than in control subjects (t = 5.08; P < .0001). CAPTURE-S score + PEF differentiated case subjects and control subjects with a sensitivity of 88.2% and a specificity of 92.3%. CONCLUSIONS: CAPTURE-S with selective use of PEF seems to be useful for identifying Spanish-speaking patients in need of diagnostic evaluation for clinically significant COPD who may benefit from initiation of COPD treatment. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT01880177; URL: www.clinicaltrials.gov.

A New Approach for Identifying Patients with Undiagnosed Chronic Obstructive Pulmonary Disease.

RATIONALE: Chronic obstructive pulmonary disease (COPD) is often unrecognized and untreated. OBJECTIVES: To develop a method for identifying undiagnosed COPD requiring treatment with currently available therapies (FEV1 <60% predicted and/or exacerbation risk). METHODS: We conducted a multisite, cross-sectional, case-control study in U.S. pulmonary and primary care clinics that recruited subjects from primary care settings. Cases were patients with COPD and at least one exacerbation in the past year or FEV1 less than 60% of predicted without exacerbation in the past year. Control subjects were persons with no COPD or with mild COPD (FEV1 ≥60% predicted, no exacerbation in the past year). In random forests analyses, we identified the smallest set of questions plus peak expiratory flow (PEF) with optimal sensitivity (SN) and specificity (SP). MEASUREMENTS AND MAIN RESULTS: PEF and spirometry were recorded in 186 cases and 160 control subjects. The mean (SD) age of the sample population was 62.7 (10.1) years; 55% were female; 86% were white; and 16% had never smoked. The mean FEV1 percent predicted for cases was 42.5% (14.2%); for control subjects, it was 82.5% (15.7%). A five-item questionnaire, CAPTURE (COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk), was used to assess exposure, breathing problems, tiring easily, and acute respiratory illnesses. CAPTURE exhibited an SN of 95.7% and an SP of 44.4% for differentiating cases from all control subjects, and an SN of 95.7% and an SP of 67.8% for differentiating cases from no-COPD control subjects. The PEF (males, <350 L/min; females, <250 L/min) SN and SP were 88.0% and 77.5%, respectively, for differentiating cases from all control subjects, and they were 88.0% and 90.8%, respectively, for distinguishing cases from no-COPD control subjects. The CAPTURE plus PEF exhibited improved SN and SP for all cases versus all control subjects (89.7% and 78.1%, respectively) and for all cases versus no-COPD control subjects (89.7% and 93.1%, respectively). CONCLUSIONS: CAPTURE with PEF can identify patients with COPD who would benefit from currently available therapy and require further diagnostic evaluation. Clinical trial registered with clinicaltrials.gov (NCT01880177).

Insight into Best Variables for COPD Case Identification: A Random Forests Analysis.

RATIONALE: This study is part of a larger, multi-method project to develop a questionnaire for identifying undiagnosed cases of chronic obstructive pulmonary disease (COPD) in primary care settings, with specific interest in the detection of patients with moderate to severe airway obstruction or risk of exacerbation. OBJECTIVES: To examine 3 existing datasets for insight into key features of COPD that could be useful in the identification of undiagnosed COPD. METHODS: Random forests analyses were applied to the following databases: COPD Foundation Peak Flow Study Cohort (N=5761), Burden of Obstructive Lung Disease (BOLD) Kentucky site (N=508), and COPDGene® (N=10,214). Four scenarios were examined to find the best, smallest sets of variables that distinguished cases and controls:(1) moderate to severe COPD (forced expiratory volume in 1 second [FEV1] <50% predicted) versus no COPD; (2) undiagnosed versus diagnosed COPD; (3) COPD with and without exacerbation history; and (4) clinically significant COPD (FEV1<60% predicted or history of acute exacerbation) versus all others. RESULTS: From 4 to 8 variables were able to differentiate cases from controls, with sensitivity ≥73 (range: 73-90) and specificity >68 (range: 68-93). Across scenarios, the best models included age, smoking status or history, symptoms (cough, wheeze, phlegm), general or breathing-related activity limitation, episodes of acute bronchitis, and/or missed work days and non-work activities due to breathing or health. CONCLUSIONS: Results provide insight into variables that should be considered during the development of candidate items for a new questionnaire to identify undiagnosed cases of clinically significant COPD.

Educating Integrated Family/Psychiatric-Mental Health Nurse Practitioners: Program Development and Evaluation.

BACKGROUND: This article describes the development, implementation, and outcomes of an integrated family nurse practitioner/psychiatric-mental health nurse practitioner (FNP/PMH-NP) program. The program was designed to help alleviate health professional shortages in rural areas. METHOD: Faculty from both specialties developed a 3-year integrated curriculum, with attention to course sequencing and removing redundancies. Students completed all FNP and PMH-NP specialty courses and 855 clinical hours. Specialty integration occurred during the final semester through faculty-facilitated integrated case studies and clinical preceptorships with dual-certified rural nurse practitioners. RESULTS: Thirteen students completed the program between 2006 and 2014. A survey of graduates (75% response rate) demonstrated that most were dual certified, and less than half practiced in rural areas. All were very satisfied with their nurse practitioner role. CONCLUSION: The program successfully prepared graduates to care for patients across the mind-body spectrum in integrated mental health-primary care positions. More work may be needed to market the integrated role and rural practice.

Identifying Patients with Undiagnosed COPD in Primary Care Settings: Insight from Screening Tools and Epidemiologic Studies.

OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality, yet research suggests this disease is greatly underdiagnosed. This literature review sought to summarize the most common and significant variables associated with case-finding or missed cases of COPD to inform more effective and efficient detection of high-risk COPD patients in primary care. METHODS: PubMed and EMBASE were searched for articles describing case-finding and epidemiologic research to detect or characterize new cases of COPD. International studies in primary and non-primary care settings, published in English from 2002-2014, were eligible for inclusion. Studies related to risk factors for development of COPD were excluded. RESULTS: Of the 33 studies identified and reviewed, 21 were case-finding or screening and 12 were epidemiological, including cross-sectional, longitudinal, and retrospective designs. A range of variables were identified within and across studies. Variables common to both screening and epidemiological studies included age, smoking status, and respiratory symptoms. Seven significant predictors from epidemiologic studies did not appear in screening tools. No studies targeted discovery of higher risk patients such as those with reduced lung function or risks for exacerbations. CONCLUSION: Variables used to identify new cases of COPD or differentiate COPD cases and non-cases are wide- ranging, (from sociodemographic to self-reported health or health history variables), providing insight into important factors for case identification. Further research is underway to develop and test the best, smallest variable set that can be used as a screening tool to identify people with undiagnosed, high-risk COPD in primary care.

Identifying cases of undiagnosed, clinically significant COPD in primary care: qualitative insight from patients in the target population.

BACKGROUND: Many cases of chronic obstructive pulmonary disease (COPD) are diagnosed only after significant loss of lung function or during exacerbations. AIMS: This study is part of a multi-method approach to develop a new screening instrument for identifying undiagnosed, clinically significant COPD in primary care. METHODS: Subjects with varied histories of COPD diagnosis, risk factors and history of exacerbations were recruited through five US clinics (four pulmonary, one primary care). Phase I: Eight focus groups and six telephone interviews were conducted to elicit descriptions of risk factors for COPD, recent or historical acute respiratory events, and symptoms to inform the development of candidate items for the new questionnaire. Phase II: A new cohort of subjects participated in cognitive interviews to assess and modify candidate items. Two peak expiratory flow (PEF) devices (electronic, manual) were assessed for use in screening. RESULTS: Of 77 subjects, 50 participated in Phase I and 27 in Phase II. Six themes informed item development: exposure (smoking, second-hand smoke); health history (family history of lung problems, recurrent chest infections); recent history of respiratory events (clinic visits, hospitalisations); symptoms (respiratory, non-respiratory); impact (activity limitations); and attribution (age, obesity). PEF devices were rated easy to use; electronic values were significantly higher than manual (P<0.0001). Revisions were made to the draft items on the basis of cognitive interviews. CONCLUSIONS: Forty-eight candidate items are ready for quantitative testing to select the best, smallest set of questions that, together with PEF, can efficiently identify patients in need of diagnostic evaluation for clinically significant COPD.

Coping style and women's participation in breast and gynecological screening.

The purpose of this project was to determine the role of coping style in women's practice of breast and gynecological screening behaviors. Women were classified into one of four coping groups based on measures of vigilance and screening distress. Data were analyzed from a subset of 85 U.S. women who participated in a larger longitudinal study designed to examine self-reported screening participation. Results indicate frequency of screening participation and importance of obtaining immediate mammography feedback differed across coping style groups. Women characterized as high in vigilance and screening distress were most at risk for nonparticipation in screening.