43618 research outputs found
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PDCDS-Adult German
Get PDFThe Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing. PERMISSION TO USE
The Readiness for Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale are available, and permission is granted to use the scales obtained from this website under the following conditions: The scales may not be modified or adapted. The scales may be used for research or for clinical practice. Permission is required from Dr. Weiss to load the scale(s) into the electronic health record and for hospital wide use of the scales. The scales may not be used or incorporated into for-profit/commercial programs. In publications reporting use of the scales, please reference Dr Weiss as the author of the scale and the translator (for non-English Scales) if noted on the scale form. The scales may not be published in manuscripts – only the results of use can be published. You may cite this website as the source of the scales. On publication of results, please send Dr Weiss a copy of the published paper.
No further permission is needed if you are using the scales under the above conditions. As a courtesy, please notify the translator listed on the website.
You must contact Dr Weiss directly ( [email protected]) for use in electronic health record system, hospital or system-wide use or for other purposes not listed above.
To see the scoring rubric, please go to https://www.marquette.edu/nursing/hospital-discharge-scales-quality-of-discharge-teaching-scale.ph
Ped-PDCDS German
Get PDFThe Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing. PERMISSION TO USE
The Readiness for Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale are available, and permission is granted to use the scales obtained from this website under the following conditions: The scales may not be modified or adapted. The scales may be used for research or for clinical practice. Permission is required from Dr. Weiss to load the scale(s) into the electronic health record and for hospital wide use of the scales. The scales may not be used or incorporated into for-profit/commercial programs. In publications reporting use of the scales, please reference Dr Weiss as the author of the scale and the translator (for non-English Scales) if noted on the scale form. The scales may not be published in manuscripts – only the results of use can be published. You may cite this website as the source of the scales. On publication of results, please send Dr Weiss a copy of the published paper.
No further permission is needed if you are using the scales under the above conditions. As a courtesy, please notify the translator listed on the website.
You must contact Dr Weiss directly ( [email protected]) for use in electronic health record system, hospital or system-wide use or for other purposes not listed above.
To see the scoring rubric, please go to https://www.marquette.edu/nursing/hospital-discharge-scales-quality-of-discharge-teaching-scale.ph
Ped-PDCDS Turkish
Get PDFThe Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing. PERMISSION TO USE
The Readiness for Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale are available, and permission is granted to use the scales obtained from this website under the following conditions: The scales may not be modified or adapted. The scales may be used for research or for clinical practice. Permission is required from Dr. Weiss to load the scale(s) into the electronic health record and for hospital wide use of the scales. The scales may not be used or incorporated into for-profit/commercial programs. In publications reporting use of the scales, please reference Dr Weiss as the author of the scale and the translator (for non-English Scales) if noted on the scale form. The scales may not be published in manuscripts – only the results of use can be published. You may cite this website as the source of the scales. On publication of results, please send Dr Weiss a copy of the published paper.
No further permission is needed if you are using the scales under the above conditions. As a courtesy, please notify the translator listed on the website.
You must contact Dr Weiss directly ( [email protected]) for use in electronic health record system, hospital or system-wide use or for other purposes not listed above.
To see the scoring rubric, please go to https://www.marquette.edu/nursing/hospital-discharge-scales-quality-of-discharge-teaching-scale.ph
PDCDS - Adult Portugese (Brazil)
Get PDFThe Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing. PERMISSION TO USE
The Readiness for Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale are available, and permission is granted to use the scales obtained from this website under the following conditions: The scales may not be modified or adapted. The scales may be used for research or for clinical practice. Permission is required from Dr. Weiss to load the scale(s) into the electronic health record and for hospital wide use of the scales. The scales may not be used or incorporated into for-profit/commercial programs. In publications reporting use of the scales, please reference Dr Weiss as the author of the scale and the translator (for non-English Scales) if noted on the scale form. The scales may not be published in manuscripts – only the results of use can be published. You may cite this website as the source of the scales. On publication of results, please send Dr Weiss a copy of the published paper.
No further permission is needed if you are using the scales under the above conditions. As a courtesy, please notify the translator listed on the website.
You must contact Dr Weiss directly ( [email protected]) for use in electronic health record system, hospital or system-wide use or for other purposes not listed above.
To see the scoring rubric, please go to https://www.marquette.edu/nursing/hospital-discharge-scales-quality-of-discharge-teaching-scale.ph
Preferential Crystallization of (±)-pinenyllithium·TMEDA
No full text(±)-Pinenyllithium·TMEDA or (tetramethylethylenediamine-κ2N,N′)(η3-6,6-dimethyl-2-methylenebicyclo[3.1.1]heptyl)lithium, [Li(C10H15)(C6H16N2)], is readily prepared from β-pinene, butyllithium and TMEDA, and the racemic material preferentially crystallizes even from 96:4 (92% ee) mixtures of (−)- and (+)-β-pinene, respectively. The structure is monomeric, with the geminal-dimethyl bridge of the bicyclic structure shielding one face of the allyl system, restricting the lithium to the opposite face and preventing the Li–allyl–Li aggregation observed with some other allyllithium systems. The symmetry of the allyl system, bond lengths, bond angles and out-of-plane deviations are compared to existing structures. In addition, a much older structure of this complex is compared to this very recent one
Bayesian Rare Variant Analysis Identifies Novel Schizophrenia Putative Risk Genes
No full textThe genetics of schizophrenia is so complex that it involves both common variants and rare variants. Rare variant association studies of schizophrenia are challenging because statistical methods for rare variant analysis are under-powered due to the rarity of rare variants. The recent Schizophrenia Exome meta-analysis (SCHEMA) consortium, the largest consortium in this field to date, has successfully identified 10 schizophrenia risk genes from ultra-rare variants by burden test, while more risk genes remain to be discovered by more powerful rare variant association test methods. In this study, we use a recently developed Bayesian rare variant association method that is powerful for detecting sparse rare risk variants that implicates 88 new candidate risk genes associated with schizophrenia from the SCHEMA case–control sample. These newly identified genes are significantly enriched in autism risk genes and GO enrichment analysis indicates that new candidate risk genes are involved in mechanosensory behavior, regulation of cell size, neuron projection morphogenesis, and plasma-membrane-bounded cell projection morphogenesis, that may provide new insights on the etiology of schizophrenia
\u3cem\u3eCura communitatis\u3c/em\u3e in the Time of Coronavirus
No full textThis study conceptualizes cura communitatis as a contemporary bridge between cura personalis and cura apostolica for Jesuit higher educational institutions. A review of related literature suggests this concept as a possible means for Jesuit IHEs to respond to the realities of the coronavirus pandemic and the psychological, social, spiritual, and economic challenges which have resulted from dealing with this global health crisis. The author surfaces the shared desire in AJCU institutions to care for one another and our shared relationships as pilgrims during a global phenomenon that has demanded physical distancing. The study explores the ways in which this desire requires subsequent communal discernment that leads to the notion cura communitatis. The article is organized in three sections to guide the development of and application of the concept: Lessons from the Pandemic, Strategies for Cura communitatis, and Responses to the Enactment of Cura communitatis
Association Between Periodontal Health Status and Quality of Life: A Cross-Sectional Study
No full textIntroduction: Attachment loss due to periodontal diseases is associated with functional limitations as well as physical pain and psychological discomfort, which may lead to a reduced quality of life. The purpose of this study is to determine if the oral health status, specifically the periodontal status, influences oral health–related quality of life.
Materials and methods: Survey data were collected in a US dental school clinical setting in a cross-sectional study. Quality of life related to oral health was assessed with the Oral Health Impact Profile-49 (OHIP-49). In addition, DMFT index, periodontal status, and health literacy scores (dental and medical health literacy) were recorded, and the data of n = 97 subjects were statistically analyzed.
Results: The DMFT index of the study population was 14.98 ± 6.21 (D: 4.72 ± 4.77; M: 3.19 ± 3.46; F: 7.12 ± 4.62). Of the subjects, 44% were identified as periodontitis cases. These periodontitis cases demonstrated significantly higher OHIP-49 scores (66.93 ± 30.72) than subjects without signs of periodontal diseases (NP) (32.40 ± 19.27, p \u3c 0.05). There was also a significant difference between NP patients and patients with gingivitis (66.24 ± 46.12, p \u3c 0.05). It was found that there was a statistically significant difference between Stage 3 (severe) periodontitis and periodontal health (p = 0.003). Pearson correlations were completed, and positive relationships were found with OHIP-49 and DMFT (0.206, p \u3c 0.05), and periodontal risk self-assessment (0.237, p\u3c 0.05). Age [odds ratio (OR) 4.46], smoking (OR 2.67), and the presence of mobile teeth (OR 2.96) are associated with periodontitis.
Conclusions: Periodontal diseases may negatively impact the oral health–related quality of life. Patients suffering from periodontitis also showed more missing teeth, which might influence function. Age and smoking are associated with a higher prevalence of periodontitis. A good general health literacy was no guarantee for having an adequate oral literacy
Oh, My Quad: A Clinical Commentary And Evidence-Based Framework for the Rehabilitation of Quadriceps Size and Strength after Anterior Cruciate Ligament Reconstruction
No full textQuadriceps weakness after anterior cruciate ligament reconstruction (ACLR) is a well-known phenomenon, with more persistent quadriceps weakness observed after ACLR with a bone-patellar tendon-bone or quadriceps tendon autograft than with a hamstring tendon autograft. Longstanding quadriceps weakness after ACLR has been associated with suboptimal postoperative outcomes and the progression of radiographic knee osteoarthritis, making the recovery of quadriceps size and strength a key component of ACLR rehabilitation. However, few articles have been written for the specific purpose of optimizing quadriceps size and strength after ACLR. Therefore, the purpose of this review article is to integrate the existing quadriceps muscle basic science and strength training literature into a best-evidence synthesis of exercise methodologies for restoring quadriceps size and strength after ACLR, as well as outline an evidence-informed quadriceps load-progression for recovering the knee\u27s capacity to manage the force-profiles associated with high-demand physical activity
Stormwater Alters the Resistome of Urban Surface Water, an Impact That Can Be Mitigated by Green Stormwater Infrastructure
Get PDFAntibiotic resistance poses an escalating threat to global health, with environmental reservoirs being pivotal areas of concern, as well as opportunities for potential mitigation. Stormwater systems are an important type of environmental reservoir in the urban water cycle with a dearth of research related to impacts on antibiotic resistance. In particular, there has been limited research exploring the impact of diverse antibiotic resistance genes (ARGs) carried by stormwater from various land uses on surface water, nor has there been an examination of the role played by green stormwater infrastructure (GSI) in mitigating this impact. Therefore, this study sought to elucidate the variability of ARGs across diverse land uses and evaluate the efficacy of GSI in mitigating ARG dissemination. Five distinct stormwater samples—representing mixed, residential, urban, and GSI-treated effluents—were taken to assess variations in ARG resistomes based on land use types. The ARGs in stormwater collected from different land uses were found to be similar in composition and represent a similar level of diversity. A GSI system with a rock swale and bioretention cell connected in series, was also sampled to see how GSI impacted ARGs, and this GSI system did substantially alter the diversity of ARGs. Moreover, the bioretention cell was found to reduce ARG concentrations by 30%. This research also sought to assess the impact of all five stormwater samples on the resistome of surface water via lab-scale microcosm experiments. The urban and residential stormwater significantly (p \u3c 0.05) altered the resistome of surface water, while the mixed-land use sample did not. This finding underscored stormwater\u27s pivotal role in introducing distinct ARG resistome compositions into downstream waters, heightening the chances for development of antibiotic resistant bacteria. The effluent stormwater from the GSI system, however, had less of an impact on the resistome of surface water in the microcosm experiments in comparison to the influent (untreated) stormwater. In managing stormwater runoff through GSI systems, this study\u27s findings highlight the potential of GSI designs and practices to limit the dissemination of diverse and abundant ARGs, safeguard public health, and contribute to sustainable stormwater management by minimizing the impact on downstream surface waters