Espiritualidad, vocación y sentido. Recursos generales de resistencia para profesionales de enfermería según la figura de San Juan de Dios

Este artículo tiene como objetivo elaborar una reflexión hacia aquellos elementos que actuaron como recursos espirituales en el proceso de formación de San Juan de Dios como enfermero y elaborar una serie de aportaciones actuales para reforzar el sentido de coherencia de las enfermeras post pandemia.

Se utilizó la metodología historiográfica aplicada a historia de la enfermería para la reconstrucción de la memoria profesional, tomando como referencia y ejemplo la figura de San Juan de Dios y se recogieron los elementos siguiendo la herramienta de valoración espiritual FICA.

Los textos muestran a Juan de Dios con un sentido de coherencia interna que se hizo posible a través de los recursos psico-espirituales de la época. Éstos facilitaron encontrar y desarrollar la vocación propia y la motivación para desarrollarla y alcanzar la autorrealización. La propuesta es contemplar en la profesionalización enfermera un cuidado por paraklesis, que implica presencia personal, actitud dialogal y palabra sapiencial, luminosa y alentadora siguiendo el modelo de San Juan de Dios, y su relación con el modelo de valoración espiritual FICA.

Automating sedation state assessments using natural language processing

Abstract

Introduction

Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedural sedation in accordance with these goals to inform their decision-making around sedation titration and also for documentation of the care provided. Natural language processing could be applied to real-time transcriptions of audio recordings made during procedures in order to classify sedation states that involve movement and pain, which could then be integrated into clinical documentation systems. The aim of this study was to determine whether natural language processing algorithms will work with sufficient accuracy to detect sedation states during procedural sedation.

Design

A prospective observational study was conducted.

Methods

Audio recordings from consenting participants undergoing elective procedures performed in the interventional radiology suite at a large academic hospital were transcribed using an automated speech recognition model. Sentences of transcribed text were used to train and evaluate several different NLP pipelines for a text classification task. The NLP pipelines we evaluated included a simple Bag-of-Words (BOW) model, an ensemble architecture combining a linear BOW model and a “token-to-vector” (Tok2Vec) component, and a transformer-based architecture using the RoBERTa pre-trained model.

Results

A total of 15,936 sentences from transcriptions of 82 procedures was included in the analysis. The RoBERTa model achieved the highest performance among the three models with an area under the ROC curve (AUC-ROC) of 0.97, an F1 score of 0.87, a precision of 0.86, and a recall of 0.89. The Ensemble model showed a similarly high AUC-ROC of 0.96, but lower F1 score of 0.79, precision of 0.83, and recall of 0.77. The BOW approach achieved an AUC-ROC of 0.97 and the F1 score was 0.7, precision was 0.83 and recall was 0.66.

Conclusion

The transformer-based architecture using the RoBERTa pre-trained model achieved the best classification performance. Further research is required to confirm the that this natural language processing pipeline can accurately perform text classifications with real-time audio data to allow for automated sedation state assessments.

Clinical Relevance

Automating sedation state assessments using natural language processing pipelines would allow for more timely documentation of the care received by sedated patients, and, at the same time, decrease documentation burden for clinicians. Downstream applications can also be generated from the classifications, including for example real-time visualizations of sedation state, which may facilitate improved communication of the adequacy of the sedation between clinicians, who may be performing supervision remotely. Also, accumulation of sedation state assessments from multiple procedures may reveal insights into the efficacy of particular sedative medications or identify procedures where the current approach for sedation and analgesia is not optimal (i.e. a significant amount of time spent in “pain” or “movement” sedation states).

Microbial interactions among Gardnerella, Prevotella and Fannyhessea prior to incident bacterial vaginosis: protocol for a prospective, observational study

Introduction

The aetiology of bacterial vaginosis (BV), a biofilm-associated vaginal infection, remains unknown. Epidemiologic data suggest that it is sexually transmitted. BV is characterised by loss of lactic acid-producing lactobacilli and an increase in facultative and strict anaerobic bacteria. Gardnerella spp are present in 95%–100% of cases; Gardnerella vaginalis has been found to be more virulent than other BV-associated bacteria (BVAB) in vitro. However, G. vaginalis is found in women with normal vaginal microbiota and colonisation is not sufficient for BV development. We hypothesise that Gardnerella spp initiate BV biofilm formation, but incident BV (iBV) requires incorporation of other key BVAB (ie, Prevotella bivia, Fannyhessea vaginae) into the biofilm that alter the transcriptome of the polymicrobial consortium. This study will investigate the sequence of microbiologic events preceding iBV.

Methods and analysis

This study will enrol 150 women aged 18–45 years with normal vaginal microbiota and no sexually transmitted infections at a sexual health research clinic in Birmingham, Alabama. Women will self-collect twice daily vaginal specimens up to 60 days. A combination of 16S rRNA gene sequencing, qPCR for Gardnerella spp, P. bivia and F. vaginae, and broad range 16S rRNA gene qPCR will be performed on twice daily vaginal specimens from women with iBV (Nugent score 7–10 on at least 2 consecutive days) and controls (with comparable age, race, contraceptive method and menstrual cycle days) maintaining normal vaginal microbiota to investigate changes in the vaginal microbiota over time for women with iBV. Participants will complete daily diaries on multiple factors including sexual activity.

Ethics and dissemination

This protocol is approved by the University of Alabama at Birmingham Institutional Review Board (IRB-300004547) and written informed consent will be obtained from all participants. Findings will be presented at scientific conferences and published in peer-reviewed journals as well as disseminated to providers and patients in communities of interest.

Primary care quality for older adults: Practice-based quality measures derived from a RAND/UCLA appropriateness method study

by Rebecca H. Correia, Darly Dash, Aaron Jones, Meredith Vanstone, Komal Aryal, Henry Yu-Hin Siu, Aquila Gopaul, Andrew P. Costa

We established consensus on practice-based metrics that characterize quality of care for older primary care patients and can be examined using secondary health administrative data. We conducted a two-round RAND/UCLA Appropriateness Method (RAM) study and recruited 10 Canadian clinicians and researchers with expertise relevant to the primary care of elderly patients. Informed by a literature review, the first RAM round evaluated the appropriateness and importance of candidate quality measures in an online questionnaire. Technical definitions were developed for each endorsed indicator to specify how the indicator could be operationalized using health administrative data. In a virtual synchronous meeting, the expert panel offered feedback on the technical specifications for the endorsed indicators. Panelists then completed a second (final) questionnaire to rate each indicator and corresponding technical definition on the same criteria (appropriateness and importance). We used statistical integration to combine technical expert panelists’ judgements and content analysis of open-ended survey responses. Our literature search and internal screening resulted in 61 practice-based quality indicators for rating. We developed technical definitions for indicators endorsed in the first questionnaire (n = 55). Following the virtual synchronous meeting and second questionnaire, we achieved consensus on 12 practice-based quality measures across four Priority Topics in Care of the Elderly. The endorsed indicators provide a framework to characterize practice- and population-level encounters of family physicians delivering care to older patients and will offer insights into the outcomes of their care provision. This study presented a case of soliciting expert feedback to develop measurable practice-based quality indicators that can be examined using administrative data to understand quality of care within population-based data holdings. Future work will refine and operationalize the technical definitions established through this process to examine primary care provision for older adults in a particular context (Ontario, Canada).

Do humour styles moderate the association between hopelessness and suicide ideation? A comparison of student and community samples

by Aaron C. Drake, Christopher R. Sears

Research has found that humour styles can moderate the relationship between various facets of mental health and well-being. Most of these studies have used college student samples, however, and the generalizability of these findings has not been firmly established. This study examined how humour styles moderate the relationship between hopelessness and suicide ideation in both student and community samples. Community participants from the U.S. and Canada (n = 554) and student participants from a Canadian university (n = 208) completed several self-report measures including the Humor Styles Questionnaire. Analyses revealed differences in humour styles between the samples, as well as differences in humour styles between men and women. Regression analyses showed that self-defeating humour moderated the relationship between hopelessness and suicide ideation for student participants but not for community participants. Conversely, self-enhancing humour moderated the relationship between hopelessness and suicide ideation for community participants but not for student participants. These results suggest that high levels of self-defeating humour and self-enhancing humour may be uniquely maladaptive for these respective samples. These and other findings point to the necessity of recruiting diverse samples to better understand the beneficial and detrimental associations between humour styles and mental health. The potential to use measures of humour style as a tool to help identify at-risk individuals and to inform the development of intervention programs is discussed.

Los cuidados enfermeros de San Juan de Dios según el Modelo de las necesidades humanas de Henderson

Consultando manuales de Historia de la Enfermería, se puede apreciar cómo es a partir de Nightingale cuando se considera el nacimiento de la Enfermería moderna o profesional. Sin embargo, esta creencia podría ser leyenda negra, pues antes del S. XIX ya existía conciencia de Enfermería como profesión, siendo esta iniciada por Juan de Dios, el de Granada, en el S. XVI español. Por ello, en el presente artículo hemos marcado como objetivo el describir los cuidados de Juan de Dios siguiendo el modelo de necesidades humanas descritas por Henderson. Para ello, utilizamos la metodología historiográfica siguiendo la corriente de la historia de las mentalidades, de manera que podamos ir del pasado al presente, y viceversa. En el análisis documental hemos podido observar como lo que hoy encontramos sistematizado de manera teórica, ya se realizaba en el inicio de la reforma enfermera del S. XVI español, siendo un modelo válido para la Enfermería actual, pues se encuentra en su ser, saber, y hacer, los conceptos del metaparadigma enfermero actuales aunque no de manera explícita, puesto que su intención, más que teórica, era asistencial, aunque detrás de ella hubo un corpus doctrinal independiente a otras disciplinas socio-sanitarias.

Feasibility, enablers and challenges of using timeliness metrics for household contact tracing and TB preventive therapy in Pakistan

by Bushra Jamil, Divya Nair, Pruthu Thekkur, Neelofar Laeeq, Anum Adil, Mohammed Khogali, Rony Zachariah, Selma Dar Berger, Srinath Satyanarayana, Ajay M. V. Kumar, Aaron Bochner, Amanda McClelland, Razia Fatima, Anthony D. Harries

Introduction

Screening household contacts of TB patients and providing TB preventive therapy (TPT) is a key intervention to end the TB epidemic. Global and timely implementation of TPT in household contacts, however, is dismal. We adapted the 7-1-7 timeliness metric designed to evaluate and respond to infectious disease outbreaks or pandemics, and assessed the feasibility, enablers and challenges of implementing this metric for screening and management of household contacts of index patients with bacteriologically-confirmed pulmonary TB in Karachi city, Pakistan.

Methods

We conducted an explanatory mixed methods study with a quantitative component (cohort design) followed by a qualitative component (descriptive design with focus group discussions).

Results

From January-June 2023, 92% of 450 index patients had their household contacts line-listed within seven days of initiating anti-TB treatment (“first 7”). In 84% of 1342 household contacts, screening outcomes were ascertained within one day of line-listing (“next 1”). In 35% of 256 household contacts eligible for further evaluation by a medical officer (aged ≤5 years or with chest symptoms), anti-tuberculosis treatment, TPT or a decision for no drugs was made within seven days of symptom screening (“second 7”). The principal reason for not starting anti-tuberculosis treatment or TPT was failure to consult a medical officer: only 129(50%) of 256 contacts consulted a medical officer. Reasons for poor performance in the “second 7” component included travel costs to see a medical officer, loss of daily earnings and fear of a TB diagnosis. Field staff reported that timeliness metrics motivated them to take prompt action in household contact screening and TPT provision and they suggested these be included in national guidelines.

Conclusions

Field staff found “7-1-7” timeliness metrics to be feasible and useful. Integration of these metrics into national guidelines could improve timeliness of diagnosis, treatment and prevention of TB within households of index patients.

Field study examining the mucosal microbiome in equine glandular gastric disease

by Linda J. Paul, Aaron C. Ericsson, Frank M. Andrews, Zachary McAdams, Michael L. Keowen, Michael P. St Blanc, Heidi E. Banse

Equine glandular gastric disease (EGGD) is a common disease among athletic horses that can negatively impact health and performance. The pathophysiology of this EGGD remains poorly understood. Previous studies using controlled populations of horses identified differences in the gastric glandular mucosal microbiome associated with disease. The objective of this study was to compare the gastric microbiome in horses with EGGD and those without across multiple barns and differing management practices. We hypothesized that alterations in the microbiome of the gastric glandular mucosa are associated with EGGD. A secondary objective was to perform a risk factor analysis for EGGD using the diet and management data collected. Microbial populations of biopsies from normal pyloric mucosa of horses without EGGD (control biopsies), normal pyloric mucosa of horses with EGGD (normal biopsies) and areas of glandular mucosal disruption in horses with EGGD (lesion biopsies) were compared. Lesion biopsies had a different microbial community structure than control biopsies. Control biopsies had a higher read count for the phylum Actinomycetota compared to lesion biopsies. Control biopsies also had an enrichment of the genera Staphylococcus and Lawsonella and the species Streptococcus salivarius. Lesion biopsies had an enrichment of the genera Lactobacillus and Actinobacillus and the species Lactobacillus equigenerosi. These results demonstrate differences in the gastric glandular microbiome between sites of disrupted mucosa in horses with EGGD compared to pyloric mucosa of horses without EGGD. Risk factor analysis indicated that exercise duration per week was a risk factor for EGGD.

Antimicrobial effects of a borate-based bioactive glass wound matrix on wound-relevant pathogens

Journal of Wound Care, Volume 32, Issue 12, Page 763-772, December 2023.

Changes in parental anxiety and intention to demand antibiotics: A longitudinal study among parents during the COVID‐19 pandemic

Abstract

Aims

Assessing the effects of the COVID-19 pandemic on parental anxiety and preferences for antibiotic treatment can help inform antibiotic stewardship strategies. Therefore, this study aimed to examine COVID-19 pandemic-related changes in parental anxiety levels, their intentions to demand antibiotics and frequencies of practising preventative behaviours.

Design

This longitudinal quantitative study compared two groups of parents, those from Victoria and Western Australia, who experienced high and low COVID-19 risk, respectively.

Methods

Participants were recruited through an online panel to complete three waves of surveys between October 2020 and August 2021. Anxiety scores and frequency of preventative behaviours were analysed using mixed-effects tobit regression, considering time, state, and their interaction as fixed effects predictors. Intention to demand antibiotics was modelled using multinomial logistic regression, with time, state, and their interaction as the predictors.

Results

The final longitudinal sample comprised 50 participants from Victoria and 51 from Western Australia. Parental anxiety did not significantly change over time for either state. Intention to demand antibiotics was also stable over time within each state; however, participants from Victoria exhibited stronger intentions to demand antibiotics compared to those from Western Australia. Frequencies of parental preventative behaviours declined from Wave 1 to Wave 2 before increasing again in Wave 3, but only for Western Australia.

Conclusion

This longitudinal study among Australian parents found stable parental anxiety and intention to demand antibiotics within each state. However, the intention to demand antibiotics and preventative behaviours varied between states as per the COVID-19 risk. Thus, viral pandemics may not affect judicious antibiotic use, though the intention to demand antibiotics may increase in states with high COVID-19 risk.

Impact

Though parental anxiety may not impact antibiotic stewardship during viral respiratory illness outbreaks, tailored messaging to maintain appropriate antibiotic use may be necessary, especially when the disease risk is high.

Predicting need for heart failure advanced therapies using an interpretable tropical geometry-based fuzzy neural network

by Yufeng Zhang, Keith D. Aaronson, Jonathan Gryak, Emily Wittrup, Cristian Minoccheri, Jessica R. Golbus, Kayvan Najarian

Background

Timely referral for advanced therapies (i.e., heart transplantation, left ventricular assist device) is critical for ensuring optimal outcomes for heart failure patients. Using electronic health records, our goal was to use data from a single hospitalization to develop an interpretable clinical decision-making system for predicting the need for advanced therapies at the subsequent hospitalization.

Methods

Michigan Medicine heart failure patients from 2013–2021 with a left ventricular ejection fraction ≤ 35% and at least two heart failure hospitalizations within one year were used to train an interpretable machine learning model constructed using fuzzy logic and tropical geometry. Clinical knowledge was used to initialize the model. The performance and robustness of the model were evaluated with the mean and standard deviation of the area under the receiver operating curve (AUC), the area under the precision-recall curve (AUPRC), and the F1 score of the ensemble. We inferred membership functions from the model for continuous clinical variables, extracted decision rules, and then evaluated their relative importance.

Results

The model was trained and validated using data from 557 heart failure hospitalizations from 300 patients, of whom 193 received advanced therapies. The mean (standard deviation) of AUC, AUPRC, and F1 scores of the proposed model initialized with clinical knowledge was 0.747 (0.080), 0.642 (0.080), and 0.569 (0.067), respectively, showing superior predictive performance or increased interpretability over other machine learning methods. The model learned critical risk factors predicting the need for advanced therapies in the subsequent hospitalization. Furthermore, our model displayed transparent rule sets composed of these critical concepts to justify the prediction.

Conclusion

These results demonstrate the ability to successfully predict the need for advanced heart failure therapies by generating transparent and accessible clinical rules although further research is needed to prospectively validate the risk factors identified by the model.