Publications by authors named "James B Schreiber"

Objective: The aim of this study was to investigate how the experience of caring for COVID-19 patients, nurses' moral distress, and the current practice environment impact nurses' intention to leave.

Background: Caring for COVID-19 patients has been associated with an increase in nurses' moral distress and an increase in nurses' turnover. To date, research has focused on nurses' moral distress, the practice environment, and intentions to leave during the pandemic's peak.

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We aimed to collect parallel perspectives from pharmacists and pharmacy students on their use, knowledge, attitudes, and perceptions about herbal supplements/natural products. Two cross-sectional descriptive survey questionnaires-one focusing on pharmacists and the other focusing on pharmacy students-were administered from March to June 2021 via Qualtrics. The surveys were sent out to preceptor pharmacists and pharmacy students currently enrolled at a single U.

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No Arabic translation exists for the medication management patient satisfaction survey (MMPSS), a 10-item psychometrically valid patient satisfaction survey tool developed to assess patient satisfaction for comprehensive medication management. The objective of this study is to translate the medication management patient satisfaction survey into Lebanese Arabic while culturally adapting and assessing the psychometric properties of the translated survey in the outpatient setting. Guidelines for translation, adaptation, and validation of instruments for cross-cultural healthcare research were followed.

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This two-part series describes how to test hypotheses on molecular mechanisms that underlie biological phenomena, using preclinical drug testing as a simplified example. While pursuing drug testing in preclinical research, students will need to understand the limitations of descriptive as well as mechanistic studies. The former does not identify any causal links between two or more variables; it identifies the presence or absence of correlations.

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Many discoveries in the biological sciences have emerged from observational studies, but student researchers also need to learn how to design experiments that distinguish correlation from causation. For example, identifying the physiological mechanism of action of drugs with therapeutic potential requires the establishment of causal links. Only by specifically interfering with the purported mechanisms of action of a drug can the researcher determine how the drug causes its physiological effects.

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Child sexual abuse (CSA) is a pervasive public health problem. If left undetected, CSA can result in immediate and long-term health problems, which can be mitigated through early identification. Schools are an ideal environment to implement screening measures, and school nurses (SN) are uniquely poised to intervene and respond early.

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Background: Nurses obtaining higher levels of education has been recommended nationally for more than a decade to support improved patient outcomes.

Local Problem: Organizational strategies were implemented to achieve a highly educated workforce at the project site over 14 years. However, there was no evaluation of relationship with increasing education levels and pediatric patient outcomes.

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Background: The nursing shortage has been deemed a public health crisis as the turnover rate of newly licensed graduate nurses (NLGNs) continues to grow. One of five NLGNs are leaving the profession due to work dissatisfaction and feelings of inadequacy, risking patient safety.

Method: A prospective, randomized controlled trial evaluated the impact of a 6-week digital intervention (text messaging) on NLGNs' self-reported stress, resiliency, sense of support, and intention to leave their jobs, organization, and profession.

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This commentary provides a brief mathematical review of exploratory factor analysis, the common factor model, and principal components analysis. Details and recommendations related to the goals, measurement scales, estimation technique, factor retention, item retention, and rotation of factors. For researchers interested in attempting to identify latent factors, exploratory factor analysis, the common factor model, is the appropriate analysis.

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Background: Competency based education (CBE) has been suggested for nurse practitioner (NP) education reform. For this to occur, competencies should reflect the knowledge, skills, and attitudes that NPs need for independent practice.

Purpose: This integrative review examined the general practice activities of NPs across all population foci to determine the extent to which these activities are reflected in current NP competencies.

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Background: Competency-based education (CBE) has been recommended for nurse practitioner (NP) education. To implement CBE, existing NP core competencies need to be reduced in number and refined.

Purpose: This study refined and reduced redundancy in the National Organization of Nurse Practitioner Faculties (NONPF) and the American Association of Colleges of Nursing (AACN) NP core competencies through the consensus of experts in NP practice.

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Objective: The aim of this study was to describe the complex relationships among patient safety culture, nurse demographics, advocacy, and patient outcomes.

Background: Why has healthcare lagged behind other industries in improving quality? Little nursing research exists that explores the multifactorial relationships that impact quality.

Methods: A convenience sample of 1045 nurses from 40 medical/surgical units was analyzed using a correlational cross-sectional design with secondary data analysis.

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Background: Electronic cognitive assessment tools present potential benefits for clinical practice; however, they warrant examination before use with clinical populations such as people with traumatic brain injury (TBI).

Objective: The primary study purpose was to compare results from a tablet-based, electronic cognitive assessment to two paper cognitive assessments when administered to adults with TBI. We also explored the effect of iPad comfort on performance.

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This commentary discusses the new American Statistical Association forty-three article issue in The American Statistician. I cover some history of p-values, misunderstandings, along with NHST and the Neyman-Pearson model. Special focus is placed on Student [W.

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Unlabelled: Providing care for people with dementia is difficult when resistive behaviors displayed by people impede caregiving efforts.

Purpose: To examined the frequency of resistive behaviors during informal caregiver-assisted activities of daily living and the impact of these occurrences.

Design: A cross sectional design was used to recruit 17 caregivers from Alzheimer's support group meetings in 2010.

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Background: Portable electronic devices are increasingly being used for clinical assessment of individuals with cognitive deficits. Prior to implementation of tablet-based assessments, comparison with other standard measures is needed.

Objective: The study purpose was to compare an iPad administered cognitive assessment known as the Standardized Touchscreen Assessment of Cognition (STAC) to the Cognitive Linguistic Quick Test (CLQT) and the Cognitive Assessment of Minnesota (CAM).

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The purpose of this paper is to provide a brief non-mathematical introduction to Latent Class Analysis (LCA) and a demonstration for researchers new to the analysis technique in pharmacy and pharmacy administration. LCA is a mathematical technique for examining relationships among observed variables when there may be collections of unobserved categorical variables. Traditionally, LCA focused on polytomous observed variables, but recent work has extended the types of data that can be utilized.

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This paper is a technical update to "Core Reporting Practices in Structural Equation Modeling." As such, the content covered in this paper includes, sample size, missing data, specification and identification of models, estimation method choices, fit and residual concerns, nested, alternative, and equivalent models, and unique issues within the SEM family of techniques.

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A wealth of research demonstrates the importance of early parent-child interactions on children's social functioning. However, less is known about the interrelations between child and parent characteristics and parent-child interactions in early childhood. Moreover, few studies have broadly examined the longitudinal relations between these constructs and social competence.

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Background: Structural equation modeling (SEM) is a popular analysis technique because of the wide range of questions that it can help answer. There are several pieces of information specific to SEM that should be reported when this technique is used.

Objectives: To demonstrate a basic framework for reporting SEM analyses, to provide definitions of key terms readers will encounter, and to illustrate 2 examples for reporting SEM results.

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The Brief Symptom Inventory-18 (BSI-18: Derogatis, 2000) is an abbreviated version of the nine dimension, 53-item BSI (Derogatis, 1993) which is a shortened form of the 90-item Symptom Checklist-90-Revised (SCL-90-R: Derogatis, 1994). Criticism focused on factor structure (cf. Boulet & Boss, 1991; Ruipérez, Ibáñez, Lorente, Moro, & Ortet, 2001) and the two older versions' poor discriminant validity suggest the scales' usefulness is limited to global scores only.

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Background: Stress and social support influence adolescents' coping strategies. Adolescents need to acquire a large repertoire of coping strategies in light of a rapidly changing socio-economic and political situation.

Aim: This study reports on the coping strategies of Zimbabwean adolescents and highlights some major stressors they face.

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The relative effects of developmental level and domain-specific knowledge on children's ability to identify and make similarity decisions about object concepts based only on haptic (touch) information were investigated. Children aged 4-9 years with varying levels of dinosaur knowledge completed a cross-comparison task in which they haptically explored pairs of familiar (dinosaur) and unfamiliar (sea creature) models that varied in terms of their degree of differentiability. Older children explored models more exhaustively, found more differentiating features and consequently made fewer errors than younger children did.

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