scholarly journals Understanding Frailty Screening: a Domain Mapping Exercise

2021 ◽  
Vol 24 (2) ◽  
pp. 154-161
Author(s):  
Jill K. Van Damme ◽  
Kassandra Lemmon ◽  
Mark Oremus ◽  
Elena Neiterman ◽  
Paul Stolee
Keyword(s):  
Social Factors ◽  
Psychological Factors ◽  
Biopsychosocial Model ◽  
Screening Tool ◽  
Screening Tools ◽  
Biological Factors ◽  
Considerable Evidence ◽  
Domain Mapping ◽  
Health Domains ◽  
Mapping Exercise

Background Many definitions and operationalisations of frailty exclude psychosocial factors, such as social isolation and mental health, despite considerable evidence of the links between frailty and these factors. This study aimed to investigate the health domains covered by frailty screening tools. Methods A systematic search of the literature was conducted in ac­cordance with PRISMA guidelines. MEDLINE, CINAHL, EMBASE, and PsycInfo were searched from inception to December 31, 2018. Data related to the domains of each screening tool were extracted and mapped onto a framework based on the biopsychosocial model of Lehmans et al. (2009) and Wade & Halligans (2017). Results Sixty-seven frailty screening tools were captured in 79 arti­cles. All screening tools assessed biological factors, 73% assessed psychological factors, 52% assessed social factors, and 78% assessed contextual factors. Under half (43%) of the tools evaluated all four domains, 33% evaluated three of four domains, 12% reported two of four domains, and 13% reported one domain (biological). Conclusion This review found considerable variation in the assessment domains covered by frailty screening tools. Frailty is a broad construct, and frailty screening tools need to cover a wide var­iety of domains to enhance screening and outcomes assessment.

Stress

2020 ◽  
pp. 135-150
Author(s):  
Daniel Opotamutale Ashipala ◽  
Anna P. K. Shilunga
Keyword(s):  
Cause Of Death ◽  
Human Body ◽  
Social Factors ◽  
Psychological Factors ◽  
Second Hand Smoke ◽  
Biological Factors ◽  
Global Issues ◽  
Contributory Factors ◽  
Quit Smoking ◽  
Smoking Behaviors

This chapter provides readers with vital knowledge on smoking, including its effects in the human body which in return could lead to positive smoking behavioral change for a leader's own health as well as to caution non-smokers on the danger of exposure to second-hand smoke. Therefore, the chapter will commence with an introduction to smoking where national, continental and global issues related to smoking will be highlighted. The biopsychosocial factors related to smoking include biological factors, psychological factors and social factors. Given that, smoking is a huge cause of death worldwide and the number of deaths caused by smoking-related conditions is believed to have escalated, owing to a lack awareness of the dangers of smoking and poor attitudes towards smoking behaviors that continue to prevail in various populations. This chapter further seeks to provide a better understanding of smoking, including its contributory factors, strategies to be that may be adopted to quit smoking.

Psychological factors can cause false pain classification on painDETECT

2019 ◽  
Vol 19 (3) ◽  
pp. 501-512 ◽  
Author(s):  
Brigitte Tampin ◽  
Jane Royle ◽  
Chrianna Bharat ◽  
Michelle Trevenen ◽  
Lisa Olsen ◽  
...  
Keyword(s):  
Clinical Diagnosis ◽  
False Positive ◽  
Psychological Factors ◽  
Screening Tool ◽  
Pain Catastrophizing ◽  
Brief Pain Inventory ◽  
Screening Tools ◽  
High Rate ◽  
Psychological State ◽  
Positive Classification

Abstract Background and aims The painDETECT questionnaire (PD-Q) has been widely used as a screening tool for the identification of neuropathic pain (NeP) as well as a tool for the characterization of patients’ pain profile. In contrast to other NeP screening tools, the PD-Q is the only screening tool with weighted sensory descriptors. It is possible that responses to the PD-Q sensory descriptors are influenced by psychological factors, such as catastrophizing or anxiety, which potentially might contribute to an overall higher score of PD-Q and a false positive identification of NeP. This study aimed to explore (i) the relationship between psychological factors (catastrophizing, anxiety, depression and stress) and the total PD-Q score and (ii) if psychological factors are associated with false positive identifications of NeP on the PD-Q compared to clinically diagnosed NeP. Methods The study was a retrospective review of 1,101 patients attending an outpatient pain centre. Patients were asked to complete the PD-Q, the Pain Catastrophizing Scale (PCS), the Depression, Anxiety and Stress Scale (DASS) and the Brief Pain Inventory (BPI). For patients who were identified by PD-Q as having NeP, their medical records were reviewed to establish if they had a clinical diagnosis of NeP. Results Accounting for missing data, complete datasets of 652 patients (mean age 51 (SD14) years, range 18–88; 57% females) were available for analysis. Based on PD-Q scoring, NeP was likely present in 285 (44%) patients. Depression, anxiety, stress, catastrophizing, BPI pain and BPI interference were all significantly related to each other (p < 0.0001) and patients displaying these traits were significantly more likely to have a positive PD-Q score (p < 0.0001). For patients classified by PD-Q as having NeP, only 50% of patients had a clinical diagnosis of NeP. Anxiety was significantly associated with a false positive classification of NeP on PD-Q (p = 0.0036). Conclusions Our retrospective study showed that psychological factors including catastrophizing, depression, anxiety, and stress were all influential in producing a higher score on the PD-Q. We observed a high rate of false positive NeP classification which was associated with the presence of anxiety. Implications Clinicians and researchers should be aware that a patient’s psychological state may influence the responses to PD-Q and consequently the final PD-Q score and its NeP classification.

scholarly journals Healthcare Provider Perspectives on Bipolar I Disorder Screening and the Rapid Mood Screener (RMS), a Pragmatic, New Tool

CNS Spectrums ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 181-183
Author(s):  
Michael E. Thase ◽  
Stephen M. Stahl ◽  
Roger S. McIntyre ◽  
Tina Matthews-Hayes ◽  
Mehul Patel ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Nurse Practitioners ◽  
Primary Care Physicians ◽  
Screening Tool ◽  
Positive Impact ◽  
Screening Tools ◽  
Predictive Values ◽  
Bipolar I Disorder ◽  
Provider Perspectives ◽  
Patient Reported

AbstractIntroductionAlthough mania is the hallmark symptom of bipolar I disorder (BD-I), most patients initially present for treatment with depressive symptoms. Misdiagnosis of BD-I as major depressive disorder (MDD) is common, potentially resulting in poor outcomes and inappropriate antidepressant monotherapy treatment. Screening patients with depressive symptoms is a practical strategy to help healthcare providers (HCPs) identify when additional assessment for BD-I is warranted. The new 6-item Rapid Mood Screener (RMS) is a pragmatic patient-reported BD-I screening tool that relies on easily understood terminology to screen for manic symptoms and other BD-I features in <2 minutes. The RMS was validated in an observational study in patients with clinically confirmed BD-I (n=67) or MDD (n=72). When 4 or more items were endorsed (“yes”), the sensitivity of the RMS for identifying patients with BP-I was 0.88 and specificity was 0.80; positive and negative predictive values were 0.80 and 0.88, respectively. To more thoroughly understand screening tool use among HCPs, a 10-minute survey was conducted.MethodsA nationwide sample of HCPs (N=200) was selected using multiple HCP panels; HCPs were asked to describe their opinions/current use of screening tools, assess the RMS, and evaluate the RMS versus the widely recognized Mood Disorder Questionnaire (MDQ). Results were reported by grouped specialties (primary care physicians, general nurse practitioners [NPs]/physician assistants [PAs], psychiatrists, and psychiatric NPs/PAs). Included HCPs were in practice <30 years, spent at least 75% of their time in clinical practice, saw at least 10 patients with depression per month, and diagnosed MDD or BD in at least 1 patient per month. Findings were reported using descriptive statistics; statistical significance was reported at the 95% confidence interval.ResultsAmong HCPs, 82% used a tool to screen for MDD, while 32% used a tool for BD. Screening tool attributes considered to be of the greatest value included sensitivity (68%), easy to answer questions (66%), specificity (65%), confidence in results (64%), and practicality (62%). Of HCPs familiar with screening tools, 70% thought the RMS was at least somewhat better than other screening tools. Most HCPs were aware of the MDQ (85%), but only 29% reported current use. Most HCPs (81%) preferred the RMS to the MDQ, and the RMS significantly outperformed the MDQ across valued attributes; 76% reported that they were likely to use the RMS to screen new patients with depressive symptoms. A total of 84% said the RMS would have a positive impact on their practice, with 46% saying they would screen more patients for bipolar disorder.DiscussionThe RMS was viewed positively by HCPs who participated in a brief survey. A large percentage of respondents preferred the RMS over the MDQ and indicated that they would use it in their practice. Collectively, responses indicated that the RMS is likely to have a positive impact on screening behavior.FundingAbbVie Inc.

scholarly journals Physical Activity Behavior from a Transdisciplinary Biopsychosocial Perspective: a Scoping Review

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jannika M. John ◽  
Vanessa Haug ◽  
Ansgar Thiel
Keyword(s):  
Physical Activity ◽  
Scoping Review ◽  
Social Factors ◽  
Biopsychosocial Model ◽  
Scientific Work ◽  
Physical Activity Behavior ◽  
Biopsychosocial Approach ◽  
Scoping Reviews ◽  
Activity Behavior ◽  
Biopsychosocial Perspective

Abstract Background Physical activity behavior is a complex and multidimensional phenomenon. For its analysis, transdisciplinary biopsychosocial approaches yield great potential. In health research, the biopsychosocial model has experienced a renaissance. Researchers have tried to grasp the complex interplay of biological, psychological, and social factors. With this scoping review, we aimed to examine how the ‘biopsychosocial’ has been conceptualized in scientific work related to physical activity behavior. Methods The scoping review was informed by the PRISMA guidelines for scoping reviews (PRISMA-ScR). A systematic literature search was conducted in Web of Science, SportDiscus, PsycArticles, PsycInfo, and PubMed. Only articles published in peer-reviewed journals that contained all three components of a biopsychosocial approach (e.g., bio/physio/genetic, psycho/mental, and socio/cultural/environmental) were included. We only included articles in our narrative synthesis that integrated physical activity behavior into a biopsychosocial model, or investigated or described physical activity behavior on the basis of such a model. Results Thirteen studies met the inclusion criteria; eight articles pursued a biopsychosocial approach in the tradition of Engel, five employed a socio-ecological approach. The models in the analyzed articles referred to either correlates of physical activity behavior, or the influence of physical activity on health or aging. Only a minority of the articles, however, referred to interactions between biological, psychological, and social factors. Conclusions The included articles were quite heterogeneous in their approach to physical activity from a biopsychosocial perspective. The included articles illustrate that the adoption of a biopsychosocial perspective may assist to capture and understand the complex phenomenon of physical activity behavior and might inform future transdisciplinary physical activity research.

scholarly journals The effective screening tools for detecting hearing loss in elderly population: HHIE-ST Versus TSQ

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nichtima Chayaopas ◽  
Pornthep Kasemsiri ◽  
Panida Thanawirattananit ◽  
Patorn Piromchai ◽  
Kwanchanok Yimtae
Keyword(s):  
Older Adults ◽  
Hearing Loss ◽  
Screening Tool ◽  
Diagnostic Value ◽  
Screening Tools ◽  
Effective Screening ◽  
Hearing Disability ◽  
Test Study ◽  
Combined Test ◽  
Single Question

Abstract Background Globally increasing number of elders is concerned. Hearing loss process in older adults cannot be avoided. An effective screening tool for hearing loss is essential for proper diagnosis and rehabilitation, which can improve QOL in older adults. Methods This prospective-diagnostic test study evaluates the diagnostic value of Thai version of the Hearing Handicap Inventory for Elderly Screening (HHIE-ST) and the Thai Single Question (TSQ) surveys in screening hearing disability in 1109 Thai participants aged 60 years and older in communities in four provinces in Thailand. The HHIE-ST consisted of 10 selected questions from the validated HHIE-Thai version. A TSQ survey was developed to have the same meaning as an English Single Question survey. The participants answered both questionnaires, and a standard audiometry test assessed with air conduction from 250 to 8000 Hz was included as a gold standard. Results The prevalence of hearing disability was 38.34%. The HHIE-ST achieved a sensitivity of 88.96% (95% CI 85.77–91.64) and specificity of 52.19% (95% CI 48.24–56.13) for diagnosis hearing disability in Thai older adults, whereas the TSQ yielded a sensitivity of 88.73% and a specificity of 55.93%. A combined test including the HHIE-ST and TSQ achieved better performance with sensitivity of 85.29% and specificity of 60.13%. Conclusions Either the HHIE-ST or the TSQ is a sensitive and useful tool for screening hearing disability in Thai older adults. Using the HHIE-ST together with the TSQ resulted in a better screening tool for detecting moderate hearing loss older adults who will benefit and recommended for hearing rehabilitation. Trial registration The study is registered with the following number in the Thai Clinical Trials Registry: TCTR20151015003. Date of registration October 14, 2015.

scholarly journals Predicting Polysomnography Parameters from Anthropometric Features and Breathing Sounds Recorded during Wakefulness

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 905
Author(s):  
Ahmed Elwali ◽  
Zahra Moussavi
Keyword(s):  
Primary Outcome ◽  
Screening Tool ◽  
Correlation Coefficients ◽  
Random Forest Classifier ◽  
Screening Tools ◽  
Apnea Hypopnea Index ◽  
Bilinear Model ◽  
Arousal Index ◽  
Obstructive Sleep ◽  
Anthropometric Features

Background: The apnea/hypopnea index (AHI) is the primary outcome of a polysomnography assessment (PSG) for determining obstructive sleep apnea (OSA) severity. However, other OSA severity parameters (i.e., total arousal index, mean oxygen saturation (SpO2%), etc.) are crucial for a full diagnosis of OSA and deciding on a treatment option. PSG assessments and home sleep tests measure these parameters, but there is no screening tool to estimate or predict the OSA severity parameters other than the AHI. In this study, we investigated whether a combination of breathing sounds recorded during wakefulness and anthropometric features could be predictive of PSG parameters. Methods: Anthropometric information and five tracheal breathing sound cycles were recorded during wakefulness from 145 individuals referred to an overnight PSG study. The dataset was divided into training, validation, and blind testing datasets. Spectral and bispectral features of the sounds were evaluated to run correlation and classification analyses with the PSG parameters collected from the PSG sleep reports. Results: Many sound and anthropometric features had significant correlations (up to 0.56) with PSG parameters. Using combinations of sound and anthropometric features in a bilinear model for each PSG parameter resulted in correlation coefficients up to 0.84. Using the evaluated models for classification with a two-class random-forest classifier resulted in a blind testing classification accuracy up to 88.8% for predicting the key PSG parameters such as arousal index. Conclusions: These results add new value to the current OSA screening tools and provide a new promising possibility for predicting PSG parameters using only a few seconds of breathing sounds recorded during wakefulness without conducting an overnight PSG study.

scholarly journals Psoriatic arthritis screening: a systematic review and meta-analysis

Rheumatology ◽  
2018 ◽  
Vol 58 (4) ◽  
pp. 692-707 ◽  
Author(s):  
Nicolas Iragorri ◽  
Glen Hazlewood ◽  
Braden Manns ◽  
Vishva Danthurebandara ◽  
Eldon Spackman
Keyword(s):  
Systematic Review ◽  
Psoriatic Arthritis ◽  
Sensitivity And Specificity ◽  
Screening Tool ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Screening Tools ◽  
Screening Questionnaire ◽  
Psa Screening ◽  
Early Psoriatic Arthritis

Abstract Objective To systematically review the accuracy and characteristics of different questionnaire-based PsA screening tools. Methods A systematic review of MEDLINE, Excerpta Medical Database, Cochrane Central Register of Controlled Trials and Web of Science was conducted to identify studies that evaluated the accuracy of self-administered PsA screening tools for patients with psoriasis. A bivariate meta-analysis was used to pool screening tool-specific accuracy estimates (sensitivity and specificity). Heterogeneity of the diagnostic odds ratio was evaluated through meta-regression. All full-text records were assessed for risk of bias with the QUADAS 2 tool. Results A total of 2280 references were identified and 130 records were assessed for full-text review, of which 42 were included for synthesis. Of these, 27 were included in quantitative syntheses. Of the records, 37% had an overall low risk of bias. Fourteen different screening tools and 104 separate accuracy estimates were identified. Pooled sensitivity and specificity estimates were calculated for the Psoriatic Arthritis Screening and Evaluation (cut-off = 44), Psoriatic Arthritis Screening and Evaluation (47), Toronto Psoriatic Arthritis Screening (8), Psoriasis Epidemiology Screening Tool (3) and Early Psoriatic Arthritis Screening Questionnaire (3). The Early Psoriatic Arthritis Screening Questionnaire reported the highest sensitivity and specificity (0.85 each). The I2 for the diagnostic odds ratios varied between 76 and 90.1%. Meta-regressions were conducted, in which the age, risk of bias for patient selection and the screening tool accounted for some of the observed heterogeneity. Conclusions Questionnaire-based tools have moderate accuracy to identify PsA among psoriasis patients. The Early Psoriatic Arthritis Screening Questionnaire appears to have slightly better accuracy compared with the Toronto Psoriatic Arthritis Screening, Psoriasis Epidemiology Screening Tool and Psoriatic Arthritis Screening and Evaluation. An economic evaluation could model the uncertainty and estimate the cost-effectiveness of PsA screening programs that use different tools.

scholarly journals Discriminating levels of alcohol use associated with self-harm in individuals presenting to a district general hospital

2010 ◽  
Vol 34 (6) ◽  
pp. 226-230 ◽  
Author(s):  
Nicholas Holdsworth ◽  
Hugh Griffiths ◽  
David Crawford
Keyword(s):  
Alcohol Use ◽  
General Hospital ◽  
Screening Tool ◽  
District General Hospital ◽  
Alcohol Screening ◽  
Screening Tools ◽  
Psychosocial Assessment ◽  
Different Types ◽  
Self Harm ◽  
Problematic Alcohol Use

Aims and methodAlthough alcohol is reported as commonly associated with self-harm, there is nothing in the literature that bases the association on validated screening tools. We sought to discern the different types of alcohol use as discriminated by the Alcohol Use Disorders Identification Test (AUDIT). Completed AUDITs from a 2-year period were analysed, all relating to people who had presented to a district general hospital in Northumberland following self-harm.ResultsThe proportion of dependent, harmful and hazardous drinkers identified using AUDIT was many times higher than previously estimated in similar studies that had not used a validated alcohol screening tool.Clinical implicationsThe routine use of an alcohol screening tool should be part of any standard psychosocial assessment of self-harm, to guide appropriate interventions for problematic alcohol use that might otherwise be overlooked.

scholarly journals PSYCHO-SOCIAL FACTORS CONTRIBUTING TO SUPERSTITIOUS BEHAVIOR: LITERATURE REVIEW

2015 ◽  
Vol 3 (5) ◽  
pp. 42-47
Author(s):  
Manasvi Shrivastav ◽  
Anuradha Kotnala
Keyword(s):  
Literature Review ◽  
Social Factors ◽  
Confidence Level ◽  
Psychological Factors ◽  
Economic Status ◽  
Socio Economic Status ◽  
The Past ◽  
Superstitious Behavior ◽  
The World ◽  
People Today

Most superstition from the past have been proven by science as unnecessary, ineffective or just plain silly but are still practiced by normal intelligent people today. Around the world, there are many reappearing themes for superstition. Every country has its own localized take on each theme. In this article researcher reviews on previous researches. There is much different kind of researches in the field of superstition and there are different theories related to the origin of superstition. Superstition is influenced by different social and psychological factors. In this article those researches have been discussed which through light on social and psychological factors of superstition. Psychological factors like fear, locus of control, confidence level etc. and social factors such as locale, socio-economic status etc.

scholarly journals Biological versus Feminists Perspectives on Girls' Underperformance in STEM Subjects in Pakistan

2020 ◽  
Vol 4 (1) ◽  
pp. 10-18
Author(s):  
Raza Ullah ◽  
Hazir Ullah ◽  
Muhammad Bilal
Keyword(s):  
Social Factors ◽  
Developed Countries ◽  
Sociocultural Factors ◽  
Biological Factors ◽  
Ongoing Debate ◽  
Men And Women ◽  
Gender And Education ◽  
Science Technology ◽  
And Mathematics ◽  
Education Performance

This article outlines the biological essentialists’ versus feminists’ explanations of girls’ underperformance in science, technology, engineering, and mathematics (STEM). Historically, except in the contexts of some developed countries, boys dominated girls in STEM subjects. Biological essentialists associate girls’ underperformance in STEM with the innate differences between men and women, whereas feminists attribute it to social factors. The issue, however, is not so easily solved and there is an ongoing debate between biological essentialists and feminists. This article, thus, engages in a comparative analysis of the two approaches, their underlying principles and the empirical evidences they use to substantiate their stance. The analysis of both approaches enables the authors to better decipher the connection between gender and education performance. This article explains that social rather than biological factors influence girls’ performance in STEM subjects. The article concludes that girls’ underperformance in STEM subjects' results from sociocultural factors.

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