Patients' Perceptions of Nurses' Behaviour That Influence Patient Participation in Nursing Care: A Critical Incident Study

Patient participation is an important basis for nursing care and medical treatment and is a legal right in many Western countries. Studies have established that patients consider participation to be both obvious and important, but there are also findings showing the opposite and patients often prefer a passive recipient role. Knowledge of what may influence patients' participation is thus of great importance. The aim was to identify incidents and nurses' behaviours that influence patients' participation in nursing care based on patients' experiences from inpatient somatic care. The Critical Incident Technique (CIT) was employed. Interviews were performed with patients (n = 17), recruited from somatic inpatient care at an internal medical clinic in West Sweden. This study provided a picture of incidents, nurses' behaviours that stimulate or inhibit patients' participation, and patient reactions on nurses' behaviours. Incidents took place during medical ward round, nursing ward round, information session, nursing documentation, drug administration, and meal

Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes

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Explainable Disease Classification via weakly-supervised segmentation

Deep learning based approaches to Computer Aided Diagnosis (CAD) typically pose the problem as an image classification (Normal or Abnormal) problem. These systems achieve high to very high accuracy in specific disease detection for which they are trained but lack in terms of an explanation for the provided decision/classification result. The activation maps which correspond to decisions do not correlate well with regions of interest for specific diseases. This paper examines this problem and proposes an approach which mimics the clinical practice of looking for an evidence prior to diagnosis. A CAD model is learnt using a mixed set of information: class labels for the entire training set of images plus a rough localisation of suspect regions as an extra input for a smaller subset of training images for guiding the learning. The proposed approach is illustrated with detection of diabetic macular edema (DME) from OCT slices. Results of testing on on a large public dataset show that with just a third of images with roughly segmented fluid filled regions, the classification accuracy is on par with state of the art methods while providing a good explanation in the form of anatomically accurate heatmap /region of interest. The proposed solution is then adapted to Breast Cancer detection from mammographic images. Good evaluation results on public datasets underscores the generalisability of the proposed solution

After colonic surgery: The lived experience of participating in a fast-track programme

Postoperative recovery can be accelerated and hospitalization reduced through fast-track programmes. However, documented knowledge is limited and primarily focusing on a medical perspective whereas the patients' perspective lacks documentation. This study describes the lived experience of participating in a fast-track programme after colonic surgery. Sixteen patients were interviewed twice. The interviews were analysed using a descriptive phenomenological approach. Participating in a fast-track programme is characterized by a process where patients experience how the daily regimen works both with them and against them. To succeed in the overall goal of recovering fast according to the evidence-based care plan involves facing dilemmas and mobilizing courage and will to follow the regimen. Support from the professionals is crucial. The participants had a strong desire to comply and regain health; but this role of being a good and cooperative patient had a built-in asymmetric power relationship favouring the professionals' expectations. The complexities of this power relationship were related to both patient factors and contextual factors, e.g. the daily regimen and hospital norms. Although patient participation in care is an accepted ideal, it is demanding and difficult to accomplish. More studies on fast-track programmes are needed, with special attention to patient autonomy and partnership

Electric field-navigated transcranial magnetic stimulation for chronic tinnitus: a randomized, placebo-controlled study

Objective: Repetitive transcranial magnetic stimulation (rTMS) may alleviate tinnitus. We evaluated effects of electric field (E-field) navigated rTMS targeted according to tinnitus pitch. No controlled studies have investigated anatomically accurate E-field-rTMS for tinnitus. Design: Effects of E-field-rTMS were evaluated in a prospective randomised placebo-controlled 6-month follow-up study on parallel groups. Patients received 10 sessions of 1Hz rTMS or placebo targeted to the left auditory cortex corresponding to tonotopic representation of tinnitus pitch. Effects were evaluated immediately after treatment and at 1, 3 and 6 months. Primary outcome measures were visual analogue scores (VAS 0-100) for tinnitus intensity, annoyance and distress, and the Tinnitus Handicap Inventory (THI). Study sample: Thirty-nine patients (mean age 50.3 years). Results: The mean tinnitus intensity (F-3=15.7, p<0.0001), annoyance (F-3=8.8, p=0.0002), distress (F-3=9.1, p=0.0002) and THI scores (F-4=13.8, p<0.0001) decreased in both groups over time with non-significant differences between the groups. After active rTMS, 42% and 37% of the patients showed excellent response at 1 and 3 months against 15% and 10% in the placebo group (p=0.082 and p=0.065). Conclusions: Despite the significant effects of rTMS on tinnitus, differences between active and placebo groups remained non-significant, due to large placebo-effect and wide inter-individual variation

Patient participation: A qualitative study of immigrant women and their experiences

Patient participation in healthcare is a neglected area of interest in the rather extensive amount of research on immigrant so-called Selma patients in Swedish health care as well as worldwide. The aim is to explore the phenomenon “patient participation” in the context of the Swedish health care from the perspective of immigrants non-fluent in Swedish. A phenomenological lifeworld approach was chosen. Data were collected from patients within a municipal home care setting in Sweden. Eight women agreed to participate. In seven interviews, an interpreter was necessary for the translation of the interview. Five authorized interpreters were used. Data were analysed in accordance to a descriptive phenomenological method for caring research. The analysis led to an essence of the phenomenon with three constituents, “to experience participation,” “to refrain from participation,” and “to be deprived of participation.” Patient participation from the perspective of immigrant women means that patients are involved and active in their own health and caring processes. For these women, it is particularly important to have the opportunity to express themselves. Patient participation presupposes professional caregivers who act in a way that increases the patients' opportunities to take part. A skilled interpreter is often necessary in order to enable the patient participation

Psychiatric (Axis I) and personality (Axis II) disorders and subjective psychiatric symptoms in chronic tinnitus

Objective: Chronic tinnitus has been associated with several psychiatric disorders. Only few studies have investigated these disorders using validated diagnostic interviews. The aims were to diagnose psychiatric and personality disorders with structured interviews, to assess self-rated psychiatric symptoms and elucidate temporal relations between psychiatric disorders and tinnitus. Design: Current and lifetime DSM-IV diagnoses of axis-I (psychiatric disorders) and axis-II (personality disorders) were assessed using structured clinical interviews (SCID-I and -II). Current subjective psychiatric symptoms were evaluated via self-rating instruments: the Symptom Check List-90 (SCL-90), the Beck Depression Inventory, and the Dissociative Experiences Scale (DES). Study sample: 83 patients (mean age 51.7, 59% men) with chronic, disturbing tinnitus and a median Tinnitus Handicap Inventory score of 32. Results: The rates of lifetime and current major depression were 26.5% and 2.4%. The lifetime rate of obsessive-compulsive personality disorder (type C) was 8.4%. None of the patients had cluster B personality disorder or psychotic symptoms. The SCL-90 subscales did not differ from the general population, and median DES score was low, 2.4. Conclusions: Tinnitus patients are prone to episodes of major depression and often also have obsessive-compulsive personality features. Psychiatric disorders seem to be comorbid or predisposing conditions rather than consequences of tinnitus.Clinical trial reference: ClinicalTrials.gov (ID NCT 01929837).</p

Can sacrificial feeding areas protect aquatic plants from herbivore grazing? Using behavioural ecology to inform wildlife management

Effective wildlife management is needed for conservation, economic and human well-being objectives. However, traditional population control methods are frequently ineffective, unpopular with stakeholders, may affect non-target species, and can be both expensive and impractical to implement. New methods which address these issues and offer effective wildlife management are required. We used an individual-based model to predict the efficacy of a sacrificial feeding area in preventing grazing damage by mute swans (Cygnus olor) to adjacent river vegetation of high conservation and economic value. The accuracy of model predictions was assessed by a comparison with observed field data, whilst prediction robustness was evaluated using a sensitivity analysis. We used repeated simulations to evaluate how the efficacy of the sacrificial feeding area was regulated by (i) food quantity, (ii) food quality, and (iii) the functional response of the forager. Our model gave accurate predictions of aquatic plant biomass, carrying capacity, swan mortality, swan foraging effort, and river use. Our model predicted that increased sacrificial feeding area food quantity and quality would prevent the depletion of aquatic plant biomass by swans. When the functional response for vegetation in the sacrificial feeding area was increased, the food quantity and quality in the sacrificial feeding area required to protect adjacent aquatic plants were reduced. Our study demonstrates how the insights of behavioural ecology can be used to inform wildlife management. The principles that underpin our model predictions are likely to be valid across a range of different resource-consumer interactions, emphasising the generality of our approach to the evaluation of strategies for resolving wildlife management problems

"Am I really ready to go home?" : a qualitative study of patients' experience of early discharge following an Enhanced Recovery Programme for Liver Resection Surgery

This qualitative data demonstrates some of the complexities of patients' expectations and experiences of the ERP. Whilst patients generally experience the ERP positively, they also have concerns about the process. The study highlights areas where additional support may be needed for patients enrolled in ERPs and discharged early

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images.

Assessing the degree of disease severity in biomedical images is a task similar to standard classification but constrained by an underlying structure in the label space. Such a structure reflects the monotonic relationship between different disease grades. In this paper, we propose a straightforward approach to enforce this constraint for the task of predicting Diabetic Retinopathy (DR) severity from eye fundus images based on the well-known notion of Cost-Sensitive classification. We expand standard classification losses with an extra term that acts as a regularizer, imposing greater penalties on predicted grades when they are farther away from the true grade associated to a particular image. Furthermore, we show how to adapt our method to the modelling of label noise in each of the sub-problems associated to DR grading, an approach we refer to as Atomic Sub-Task modeling. This yields models that can implicitly take into account the inherent noise present in DR grade annotations. Our experimental analysis on several public datasets reveals that, when a standard Convolutional Neural Network is trained using this simple strategy, improvements of 3- 5% of quadratic-weighted kappa scores can be achieved at a negligible computational cost. Code to reproduce our results is released at github.com/agaldran/cost_sensitive_loss_classification