scholarly journals Toward data-based clinical decision making for adults with challenging behavior using the Behavior Problems Inventory-Short Form (BPI-S)

2018 ◽  
Vol 23 (2) ◽  
pp. 103-110 ◽  
Author(s):  
Darren L. Bowring ◽  
Vasiliki Totsika ◽  
Richard P. Hastings ◽  
Sandy Toogood

Purpose The Behavior Problems Inventory-Short Form (BPI-S) is a shorter version of the Behavior Problems Inventory-01. In this paper, BPI-S population norms are reported from a total administrative population of adults with intellectual disability (ID). To facilitate the use of the BPI-S in clinical services to assess behavior change, the purpose of this paper is to describe how to use BPI-S clinically significant and reliable change (RC) scores. Design/methodology/approach Data were gathered on 265 adults with ID known to services. Proxy informants completed the BPI-S on challenging behaviors over the previous six months. Clinically significant cut-off values and RC scores were calculated using the Jacobson and Truax’s (1991) method. Findings BPI-S clinical reference data are presented to provide benchmarks for individual and group comparisons regarding challenging behavior. Examples demonstrate how to use clinical norms to determine change. Practical implications Behavior change is a major goal of researchers and practitioners. Data from the present study can make the BPI-S a valuable tool for determining change in challenging behavior following service input or intervention. Originality/value Whilst well used in research, the BPI-S may be less extensively used in practice. This present study provides data to enable researchers and practitioners to use the BPI-S more widely in assessing clinical outcomes, such as intervention research and service evaluation.

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Kempny ◽  
K Dimopoulos ◽  
A E Fraisse ◽  
G P Diller ◽  
L C Price ◽  
...  

Abstract Background Pulmonary vascular resistance (PVR) is an essential parameter assessed during cardiac catheterization. It is used to confirm pulmonary vascular disease, to assess response to targeted pulmonary hypertension (PH) therapy and to determine the possibility of surgery, such as closure of intra-cardiac shunt or transplantation. While PVR is believed to mainly reflect the properties of the pulmonary vasculature, it is also related to blood viscosity (BV). Objectives We aimed to assess the relationship between measured (mPVR) and viscosity-corrected PVR (cPVR) and its impact on clinical decision-making. Methods We assessed consecutive PH patients undergoing cardiac catheterization. BV was assessed using the Hutton method. Results We included 465 patients (56.6% female, median age 63y). The difference between mPVR and cPVR was highest in patients with abnormal Hb levels (anemic patients: 5.6 [3.4–8.0] vs 7.8Wood Units (WU) [5.1–11.9], P<0.001; patients with raised Hb: 10.8 [6.9–15.4] vs. 7.6WU [4.6–10.8], P<0.001, respectively). Overall, 33.3% patients had a clinically significant (>2.0WU) difference between mPVR and cPVR, and this was more pronounced in those with anemia (52.9%) or raised Hb (77.6%). In patients in the upper quartile for this difference, mPVR and cPVR differed by 4.0WU [3.4–5.2]. Adjustment of PVR required Conclusions We report, herewith, a clinically significant difference between mPVR and cPVR in a third of contemporary patients assessed for PH. This difference is most pronounced in patients with anemia, in whom mPVR significantly underestimates PVR, whereas in most patients with raised Hb, mPVR overestimates it. Our data suggest that routine adjustment for BV is necessary.


Author(s):  
Gebeyehu Belay Gebremeskel ◽  
Chai Yi ◽  
Zhongshi He ◽  
Dawit Haile

Purpose – Among the growing number of data mining (DM) techniques, outlier detection has gained importance in many applications and also attracted much attention in recent times. In the past, outlier detection researched papers appeared in a safety care that can view as searching for the needles in the haystack. However, outliers are not always erroneous. Therefore, the purpose of this paper is to investigate the role of outliers in healthcare services in general and patient safety care, in particular. Design/methodology/approach – It is a combined DM (clustering and the nearest neighbor) technique for outliers’ detection, which provides a clear understanding and meaningful insights to visualize the data behaviors for healthcare safety. The outcomes or the knowledge implicit is vitally essential to a proper clinical decision-making process. The method is important to the semantic, and the novel tactic of patients’ events and situations prove that play a significant role in the process of patient care safety and medications. Findings – The outcomes of the paper is discussing a novel and integrated methodology, which can be inferring for different biological data analysis. It is discussed as integrated DM techniques to optimize its performance in the field of health and medical science. It is an integrated method of outliers detection that can be extending for searching valuable information and knowledge implicit based on selected patient factors. Based on these facts, outliers are detected as clusters and point events, and novel ideas proposed to empower clinical services in consideration of customers’ satisfactions. It is also essential to be a baseline for further healthcare strategic development and research works. Research limitations/implications – This paper mainly focussed on outliers detections. Outlier isolation that are essential to investigate the reason how it happened and communications how to mitigate it did not touch. Therefore, the research can be extended more about the hierarchy of patient problems. Originality/value – DM is a dynamic and successful gateway for discovering useful knowledge for enhancing healthcare performances and patient safety. Clinical data based outlier detection is a basic task to achieve healthcare strategy. Therefore, in this paper, the authors focussed on combined DM techniques for a deep analysis of clinical data, which provide an optimal level of clinical decision-making processes. Proper clinical decisions can obtain in terms of attributes selections that important to know the influential factors or parameters of healthcare services. Therefore, using integrated clustering and nearest neighbors techniques give more acceptable searched such complex data outliers, which could be fundamental to further analysis of healthcare and patient safety situational analysis.


Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3481
Author(s):  
Rebecca A. Shuford ◽  
Ashley L. Cairns ◽  
Omeed Moaven

The genetic and molecular underpinnings of metastatic colorectal cancer have been studied for decades, and the applicability of these findings in clinical decision making continues to evolve. Advancements in translating molecular studies have provided a basis for tailoring chemotherapeutic regimens in metastatic colorectal cancer (mCRC) treatment, which have informed multiple practice guidelines. Various genetic and molecular pathways have been identified as clinically significant in the pathogenesis of metastatic colorectal cancer. These include rat sarcoma (RAS), epithelial growth factor receptor (EGFR), vascular endothelial growth factor VEGF, microsatellite instability, mismatch repair, and v-raf murine sarcoma viral oncogene homolog b1 (BRAF) with established clinical implications. RAS mutations and deficiencies in the mismatch repair pathway guide decisions regarding the administration of anti-EGFR-based therapies and immunotherapy, respectively. Furthermore, there are several emerging pathways and therapeutic modalities that have not entered mainstream use in mCRC treatment and are ripe for further investigation. The well-established data in the arena of targeted therapies provide evidence-based support for the use or avoidance of various therapeutic regimens in mCRC treatment, while the emerging pathways and platforms offer a glimpse into the future of transforming a precision approach into a personalized treatment.


2019 ◽  
Vol 21 (4) ◽  
pp. 264-277
Author(s):  
Laura Ramsay ◽  
Jamie S. Walton ◽  
Gavin Frost ◽  
Chloe Rewaj ◽  
Gemma Westley ◽  
...  

Purpose The purpose of this paper is to outline the qualitative research findings of the effectiveness of Her Majesty’s Prison and Probation Service Programme Needs Assessment (PNA) in supporting decision making regarding selection onto high-intensity offending behaviour programmes. Design/methodology/approach Qualitative data analysis was used through the application of thematic analysis. Results were pooled using principles from meta-synthesis in order to draw conclusions as to whether the PNA was operating as designed. Findings Four overarching themes were identified, which have meaning in guiding decision making into, or out of high-intensity programmes. These were risk, need and responsivity, the importance of attitudes, motivation and formulation and planning. Research limitations/implications The majority of data were collected from category C prisons. Generalisability of findings to high-intensity programmes delivered in maximum security prisons and prisons for younger people aged 18–21 years is limited. The research team had prior knowledge of the PNA, whether through design or application. Procedures were put in place to minimise researcher biases. Practical implications Findings suggest that the PNA is effective in guiding clinical decision making. Practitioners and policy makers can be assured that the processes in place to select into high-intensity programmes are effective, and aligned with the What Works in reducing re-offending. Originality/value This is the first evaluation into the effectiveness of the PNA designed to support clinical decision making regarding participant selection onto accredited offending behaviour programmes. Implications for practice have been discussed.


2017 ◽  
Vol 30 (4) ◽  
pp. 432-442 ◽  
Author(s):  
Mahmoud Maharmeh

Purpose The aim of this study was to describe Jordanian critical care nurses’ experiences of autonomy in their clinical practice. Design/methodology/approach A descriptive correlational design was applied using a self-reported cross-sectional survey. A total of 110 registered nurses who met the eligibility criteria participated in this study. The data were collected by a structured questionnaire. Findings A majority of critical care nurses were autonomous in their decision-making and participation in decisions to take action in their clinical settings. Also, they were independent to develop their own knowledge. The study identified that their autonomy in action and acquired knowledge were influenced by a number of factors such as gender and area of practice. Practical implications Nurse’s autonomy could be increased if nurses are made aware of the current level of autonomy and explore new ways to increase empowerment. This could be offered through classroom lectures that concentrate on the concept of autonomy and its implication in practice. Nurses should demonstrate autonomous nursing care at the same time in the clinical practice. This could be done through collaboration between educators and clinical practice to help merge theory to practice. Originality/value Critical care nurses were more autonomous in action and knowledge base. This may negatively affect the quality of patient care and nurses’ job satisfaction. Therefore, improving nurses’ clinical decision-making autonomy could be done by the support of both hospital administrators and nurses themselves.


BJPsych Open ◽  
2016 ◽  
Vol 2 (6) ◽  
pp. 341-345 ◽  
Author(s):  
Andrew C. Page ◽  
Nadia K. Cunningham ◽  
Geoffrey R. Hooke

BackgroundRoutine symptom monitoring and feedback improves out-patient outcomes, but the feasibility of its use to inform decisions about discharge from in-patient care has not been explored.AimsTo examine the potential value to clinical decision-making of monitoring symptoms during psychiatric in-patient hospitalisation.MethodA total of 1102 in-patients in a private psychiatric hospital, primarily with affective and neurotic disorders, rated daily distress levels throughout their hospital stay. The trajectories of patients who had, and had not, met a criterion of clinically significant improvement were examined.ResultsTwo-thirds of patients (n=604) met the clinically significant improvement criterion at discharge, and three-quarters (n=867) met the criterion earlier during their hospital stay. After meeting the criterion, the majority (73.2%) showed stable symptoms across the remainder of their hospital stay, and both classes showed substantially lower symptoms than at admission.ConclusionsMonitoring of progress towards this criterion provides additional information regarding significant treatment response that could inform clinical decisions around discharge readiness.


Author(s):  
Lauren Burns ◽  
Ana Sergio da Silva ◽  
Ann John

BackgroundUnderstanding how non-clinical patient factors (NCpF) such as gender, educational level and socioeconomic status impact clinical decisions regarding one’s mental health is important for appropriate and equitable care. Main AimThis research aims to i) investigate the feasibility of using administrative health data to investigate clinical decision making in mental health; ii) understand the impact of NCpF on mental health-related diagnosis, treatment, and referral decisions. Methods/ApproachThree waves of the Welsh Health Survey, containing a five-item Mental Health Inventory (Short- Form SF36), and NCpF information were used to create our interest cohort. The records with a low SF36, a ‘gold standard’ identifier of common mental health conditions, were then linked to the healthcare records datasets (Primary Care GP Dataset, Patient Episode Database for Wales, Emergency Department Dataset, Outpatient Referral Dataset, Annual District Death Extract) securely stored on the Secure Anonymised Information Linkage Databank. ResultsWe will present the methodological challenges and benefits of using administrative data the study of decision making in mental health. The differences in NCpF between those with a low SF36 and a mental health diagnosis, symptoms and treatment as well as those with a similar SF36 score but no diagnosis, symptoms or treatment recorded will be presented and discussed. ConclusionAdministrative data can provide a unique opportunity to investigate issues related with clinical decision-making in mental health and improve health equity. Having a better understanding of the influence of NCpF on mental health decisions is necessary to prevent inequity in mental health care.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Camille Huggins ◽  
Akeem Modeste-James ◽  
Jennifer Rouse

Purpose This study aims to examine primary care physicians who are in a tenable position to identify signs of abuse in older adults as well as provide an opportunity to safeguard them from abuse. Yet little is known about their clinical decision-making process during a clinic visit to detect abuse of older adults and provide adequate support in the Caribbean. Design/methodology/approach Fourteen primary care physicians working in a government operated free clinic were interviewed about their clinical decision-making process, in a narrative analysis format on the small island state of Trinidad and Tobago. Findings Primary care physicians expressed lack of knowledge about the primary health-care clinics’ protocols and procedures regarding abuse of older adults. Lack of attendance to educational in-service programs on recognizing and reporting abuse of older adults. A hands-off approach with non-medical abuse issues. Last there is no uniform assessments among the different types of physicians. Practical implications Although these findings are among primary care physicians located in Trinidad and Tobago, the context may be applied to primary care settings in other Caribbean islands. Major focus should be geared towards increasing awareness among the public and health-care professionals. Originality/value Sparse research on small island states regarding safeguarding policies for older adults who experience abuse.


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