18 research outputs found

    Phenomenological Insight on Being Hindered From Fulfilling One’s Primary Responsibility to Educate Students

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    The research literature suggests that a major challenge facing teachers today is being thwarted from fulfilling their primary responsibility to help students learn. Teachers who continually encounter circumstances that hinder their efforts to educate students are likely to experience workplace frustration and stress. Following the existential-phenomenological research approach, I conducted in-depth, private interviews with eight middle school teachers to reveal the psychological effect of workplace hindrances and to gain a deeper understanding of the experience underlying frustration. The salient experiential themes identified in this study are feeling disrespected, powerless, hopeless, upset/anger, and guilt. It is argued that we need to address these phenomenological constituents of being hindered and the contexts in which they occur if we hope seriously to mitigate the elevated levels of frustration and stress currently plaguing the profession.La littérature portant sur la recherche en éducation donne à penser qu’un des défis les plus importants auquel font face les enseignants de nos jours consiste à être empêchés de s’acquitter de leur responsabilité principale, soit d’aider les élèves à apprendre. Les enseignants devant continuellement confronter des circonstances qui entravent leurs efforts d’enseigner aux élèves sont aptes à devenir frustrés et tendus. Adoptant une approche existentielle phénoménologique à notre recherche, nous avons entrepris des entrevues détaillées et privées avec huit enseignants de l’intermédiaire. L’objectif de l’étude était de dévoiler l’effet psychologique des entraves sur le lieu de travail et de mieux comprendre les causes des frustrations. Les résultats ont permis d’identifier plusieurs thèmes importants reflétant l’expérience des enseignants : des sentiments d’impuissance, de désespoir, de colère, de culpabilité, ainsi que l’impression de ne pas être respectés. Nous insistons sur l’importance d’aborder les éléments phénoménologiques associés aux obstacles que confrontent les enseignants et d’analyser leurs contextes afin de pouvoir atténuer les niveaux élevés de frustration et de tension qui rongent actuellement la profession

    The Laboratory-Based Intermountain Validated Exacerbation (LIVE) Score Identifies Chronic Obstructive Pulmonary Disease Patients at High Mortality Risk.

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    Background: Identifying COPD patients at high risk for mortality or healthcare utilization remains a challenge. A robust system for identifying high-risk COPD patients using Electronic Health Record (EHR) data would empower targeting interventions aimed at ensuring guideline compliance and multimorbidity management. The purpose of this study was to empirically derive, validate, and characterize subgroups of COPD patients based on routinely collected clinical data widely available within the EHR. Methods: Cluster analysis was used in 5,006 patients with COPD at Intermountain to identify clusters based on a large collection of clinical variables. Recursive Partitioning (RP) was then used to determine a preferred tree that assigned patients to clusters based on a parsimonious variable subset. The mortality, COPD exacerbations, and comorbidity profile of the identified groups were examined. The findings were validated in an independent Intermountain cohort and in external cohorts from the United States Veterans Affairs (VA) and University of Chicago Medicine systems. Measurements and Main Results: The RP algorithm identified five LIVE Scores based on laboratory values: albumin, creatinine, chloride, potassium, and hemoglobin. The groups were characterized by increasing risk of mortality. The lowest risk, LIVE Score 5 had 8% 4-year mortality vs. 56% in the highest risk LIVE Score 1 (p < 0.001). These findings were validated in the VA cohort (n = 83,134), an expanded Intermountain cohort (n = 48,871) and in the University of Chicago system (n = 3,236). Higher mortality groups also had higher COPD exacerbation rates and comorbidity rates. Conclusions: In large clinical datasets across different organizations, the LIVE Score utilizes existing laboratory data for COPD patients, and may be used to stratify risk for mortality and COPD exacerbations

    Anticipatory Corticosteroid Administration to Asymptomatic Women with a Short Cervix.

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    OBJECTIVE:  A short cervix is an important risk factor for spontaneous preterm birth. There is substantial evidence that antenatal exposure to corticosteroids significantly benefits infants that are born when delivery occurs between 24 and 34 weeks\u27 gestation and after 48 hours but within 7 days of their administration. Our study was to evaluate whether asymptomatic women who are given a course of antenatal corticosteroids (ACS) at the time a short cervix is identified deliver within the window of proven steroid benefit. STUDY DESIGN:  This was a retrospective chart review of patients who had a cervical length of \u3c 2.5 cm between 23 and 34 weeks and who did not have cervical dilation or significant symptoms of preterm labor. RESULTS:  Of 367 asymptomatic patients with a short cervix, only two (0.5%) delivered within 7 days of the time a short cervix was identified. With a policy of giving ACS at the time an ultrasound shows a short cervix, 184 patients would have to be treated for each one who realizes a steroid benefit by delivering within 7 days. CONCLUSION:  We conclude that unless future studies show that neonates benefit from ACS given more than 7 days before delivery, giving ACS to asymptomatic women solely because the cervix is short is not advised

    The Laboratory-Based Intermountain Validated Exacerbation (LIVE) Score Identifies Chronic Obstructive Pulmonary Disease Patients at High Mortality Risk

    No full text
    Background: Identifying COPD patients at high risk for mortality or healthcare utilization remains a challenge. A robust system for identifying high-risk COPD patients using Electronic Health Record (EHR) data would empower targeting interventions aimed at ensuring guideline compliance and multimorbidity management. The purpose of this study was to empirically derive, validate, and characterize subgroups of COPD patients based on routinely collected clinical data widely available within the EHR.Methods: Cluster analysis was used in 5,006 patients with COPD at Intermountain to identify clusters based on a large collection of clinical variables. Recursive Partitioning (RP) was then used to determine a preferred tree that assigned patients to clusters based on a parsimonious variable subset. The mortality, COPD exacerbations, and comorbidity profile of the identified groups were examined. The findings were validated in an independent Intermountain cohort and in external cohorts from the United States Veterans Affairs (VA) and University of Chicago Medicine systems.Measurements and Main Results: The RP algorithm identified five LIVE Scores based on laboratory values: albumin, creatinine, chloride, potassium, and hemoglobin. The groups were characterized by increasing risk of mortality. The lowest risk, LIVE Score 5 had 8% 4-year mortality vs. 56% in the highest risk LIVE Score 1 (p < 0.001). These findings were validated in the VA cohort (n = 83,134), an expanded Intermountain cohort (n = 48,871) and in the University of Chicago system (n = 3,236). Higher mortality groups also had higher COPD exacerbation rates and comorbidity rates.Conclusions: In large clinical datasets across different organizations, the LIVE Score utilizes existing laboratory data for COPD patients, and may be used to stratify risk for mortality and COPD exacerbations
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