screening scale
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2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Xuechan Lyu ◽  
Tianzhen Chen ◽  
Zhe Wang ◽  
Jing Lu ◽  
Chenyi Ma ◽  
...  

Abstract Background In recent years, there have been frequent reports of gaming disorder in China, with more focus on young people. We developed and psychometrically tested a Gaming Disorder screening scale (i.e., Gaming Disorder Screening Scale - GDSS) for Chinese adolescents and young adults, based on the existing scales and diagnostic criteria, but also considering the development status of China. Methods For testing content and criterion validity, 1747 participants competed the GDSS and the Internet Addiction Test (IAT). After 15 days, 400 participants were retested with the scales for to assess test-retest reliability. Besides, 200 game players were interviewed for a diagnosis of gaming disorder. Results The Cronbach’s alpha coefficient on the GDSS was 0.93. The test-retest coefficient of 0.79. Principal components analysis identified three factors accounting for 62.4% of the variance; behavior, functioning, cognition and emotion. Confirmatory factor analysis showed a good model fit to the data (χ2 /df = 5.581; RMSEA =0.074; TLI = 0.916, CFI = 0.928). The overall model fit was significantly good in the measurement invariance tested across genders and different age groups. Based on the clinical interview, the screening cut-off point was determined to be ≥47 (sensitivity 41.4%, specificity 82.3%). Conclusions The GDSS demonstrated good reliability and validity aspects for screening online gaming disorder among Chinese adolescents and young adults.


Author(s):  
Karolina Filipska ◽  
Monika Biercewicz ◽  
Adam Wiśniewski ◽  
Kornelia Kędziora-Kornatowska ◽  
Robert Ślusarz

Author(s):  
Tirta Anggraini ◽  
Leny ◽  
Defa Putri Fitriyana ◽  
Novita Sari

Munculnya SARS-CoV-2 (COVID-19) ditengah tengah masyarakat meninggalkan efek psikologis pada kesehatan mental masyarakat dengan tingkat kecemasan dan depresi yang meningkat di fase awal penyakit. Penerapan protokol kesehatan yang ketat sebagai prosedur tetap meningkatkan stress dan kecemasan, dimana interaksi secara langsung (tatap muka) di kurangi,  masyarakat di anjurkan untuk menjaga jarak hal tesebut mengakibat perasaan kesepian dan terisolasi termasuk pada ibu hamil. Ajuran pemerintah untuk menjaga jarak membawa perubahan terhadap ibu hamil. Ibu hamil yang menganggap anjuran tersebut sebagi tekanan mungkin dapat menimbulkan efek buruk terhadap kesehatan fisik dan mental.Gangguan psikologis pada ibu hamil dapat berupa kecemasan, keletihan, kontrol emosi yang tidak stabil, perasaan yang tidak sesuai dengan keadaan dan lain-lain. Kecemasan yaitu keadaan yang tidak menyenangkan dan di sertai perubahan reaksi fisiologis seperti perubahan detak jantung dan penapasan. Menurut World Health Organitation (WHO) sekitar 10 % ibu hamil mengalami depresi dan kondisi ini lebih tinggi terjadi pada negara berkembang  yaitu mencapai 15,6 % selama kehamilan dan 19,8 % setelah melahirkan atau pada masa nifas. Tujuan dari penelitian ini adalah untuk mengetahui Gambaran Kecemasan Pada ibu Hamil dan Nifas di Masa Pandemi COVID-19 di Kelurahan Sukajaya Palembang Tahun 2020. Jenis Penelitian ini adalah deskriptif. Populasi pada penelitian ini adalah berjumlah 51 orang sampel penelitian adalah 23 ibu hamil dan 28 masa nifas dengan tehnik cluster sampling dengan menggunakan intrumen perinatal anxienty screening scale (PASS) .hasil penelitain diperoleh ibu hamil dan nifas mengalami kecemasan pada masa pendemi covid -19 mengalami kecemasan  dengan skala ringan -sedang.


2021 ◽  
pp. 003022282110605
Author(s):  
Shu-Chin Chen ◽  
Hui-Chun Huang ◽  
Shen-Ing Liu ◽  
Sue-Huei Chen

Suicidal risk has been a significant mental health problem. However, the predictive ability for repeated self-harm (SH) has not improved over the past decades. This study thus aimed to explore a potential tool with theoretical accommodation and clinical application by employing traditional logistic regression (LR) and newly developed machine learning, random forest algorithm (RF). Starting with 89 items from six commonly used scales (i.e., proximal suicide risk factors) as preliminary predictors, both LR and RF resulted in a better solution with much fewer items in two phases of item selections and analyses, with prediction accuracy 88.6% and 79.8%, respectively. A combination with 12 selected items, named LR-12, well predicted repeated self-harm in 6-month follow-up with satisfactory performance (AUC = 0.84, 95% CI: 0.76–0.92; cut-off point by 1/2 with sensitivity 81.1% and specificity 74.0%). The psychometrically appealing LR-12 could be used as a screening scale for suicide risk assessment.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 584-584
Author(s):  
Richard Kennedy ◽  
Hyun Freeman ◽  
Roy Martin ◽  
Caroline Whittington ◽  
John Osborne ◽  
...  

Abstract Hospital-associated disability (HAD), defined as a loss of activities of daily living (ADLs) occurring during hospitalization, is a common complication among older adults. Delirium is also a common complication during hospitalization and is associated with multiple long-term sequelae. We sought to determine the effect of delirium and known covariates on the risk of incident HAD in hospitalized older adults. We examined electronic health record (EHR) data for 35,201 older adults ≥ 65 years of age admitted to the general inpatient (non-ICU) units of UAB Hospital from January 1, 2015 to December 31, 2019. Delirium was defined as a score ≥ 2 on the Nursing Delirium Screening Scale (NuDESC) during hospital admission, and HAD defined as a decline on the Katz ADL scale from hospital admission to discharge. Generalized linear mixed models were used to examine the association between delirium and HAD, adjusting for covariates and repeated observations for individuals with multiple admissions. We found that 21.2% of older adults developed HAD during their hospitalization and experienced higher delirium rates as compared to those not developing HAD (25.2% vs. 16.3%). Presence of delirium, medical comorbidity score, baseline cognitive status, and baseline ADL function were associated (all p <0.001) with incident HAD. Mediation analyses also showed that 8% of the effect of comorbidity on incident HAD was due to delirium (p < 0.001). Reducing rates of delirium can be one component of a comprehensive approach to reduce rates of HAD in older adults.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sabbe Kelly ◽  
van Der Mast Roos ◽  
Dilles Tinne ◽  
Van Rompaey Bart

Abstract Background Delirium is a common geriatric syndrome, but only few studies have been done in nursing home residents. Therefore, the aim of this study was to investigate (point) prevalence of and risk factors for delirium in nursing homes in Belgium. Methods A multisite, cross-sectional study was conducted in six nursing homes in Belgium. Residents of six nursing homes were screened for delirium. Exclusion criteria were coma,‘end-of-life’ status and residing in a dementia ward. Delirium was assessed using the Delirium Observation Screening Scale. Results 338 of the 448 eligible residents were included in this study. Of the 338 residents who were evaluated, 14.2 % (95 %CI:3.94–4.81) screened positive for delirium with the Delirium Observation Screening Scale. The mean age was 84.7 years and 67.5 % were female. Taking antipsychotics (p = 0.009), having dementia (p = 0.005), pneumonia (p = 0.047) or Parkinson’s disease (p = 0.03) were more present in residents with delirium. The residents were more frequently physically restrained (p = 0.001), participated less in activities (p = 0.04), had had more often a fall incident (p = 0.007), had lower levels of cognition (p < 0.001; MoCA ≥ 26, p = 0.04; MoCA ≥ 25, p = 0.008) and a higher “Activities of Daily Living” score (p = 0.001). In multivariable binary logistic regression analysis, a fall incident (2.76; 95 %CI: 1.24–6.14) and cognitive impairment (OR: 0.69; 95 %CI: 0.63–0.77) were significantly associated with delirium. Conclusions Delirium is an important clinical problem affecting almost 15 % of the nursing home residents at a given moment. Screening of nursing home residents for risk factors and presence of delirium is important to prevent delirium if possible and to treat underlying causes when present.


Author(s):  
Mu‐Hsing Ho ◽  
Edmond Pui Hang Choi ◽  
Hsiao‐Yean Chiu ◽  
Shu‐Tai Shen Hsiao ◽  
Victoria Traynor

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ruth Tsigebrhan ◽  
Abebaw Fekadu ◽  
Girmay Medhin ◽  
Charles R. Newton ◽  
Martin J. Prince ◽  
...  

Abstract Background Timely detection and management of comorbid mental disorders in people with epilepsy is essential to improve outcomes. The objective of this study was to measure the performance of primary health care (PHC) workers in identifying comorbid mental disorders in people with epilepsy against a standardised reference diagnosis and a screening instrument in rural Ethiopia. Methods People with active convulsive epilepsy were identified from the community, with confirmatory diagnosis by trained PHC workers. Documented diagnosis of comorbid mental disorders by PHC workers was extracted from clinical records. The standardized reference measure for diagnosing mental disorders was the Operational Criteria for Research (OPCRIT plus) administered by psychiatric nurses. The mental disorder screening scale (Self-Reporting Questionnaire; SRQ-20), was administered by lay data collectors. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of PHC worker diagnosis against the reference standard diagnosis was calculated. Logistic regression was used to examine the factors associated with misdiagnosis of comorbid mental disorder by PHC workers. Results A total of 237 people with epilepsy were evaluated. The prevalence of mental disorders with standardised reference diagnosis was 13.9% (95% confidence interval (CI) 9.6, 18.2%) and by PHC workers was 6.3% (95%CI 3.2, 9.4%). The prevalence of common mental disorder using SRQ-20 at optimum cut-off point (9 or above) was 41.5% (95% CI 35.2, 47.8%). The sensitivity and specificity of PHC workers diagnosis was 21.1 and 96.1%, respectively, compared to the standardised reference diagnosis. In those diagnosed with comorbid mental disorders by PHC workers, only 6 (40%) had SRQ-20 score of 9 or above. When a combination of both diagnostic methods (SRQ-20 score ≥ 9 and PHC diagnosis of depression) was compared with the standardised reference diagnosis of depression, sensitivity increased to 78.9% (95% (CI) 73.4, 84.4%) with specificity of 59.7% (95% CI 53.2, 66.2%). Only older age was significantly associated with misdiagnosis of comorbid mental disorders by PHC (adjusted odds ratio, 95% CI = 1.06, 1.02 to 1.11). Conclusion Routine detection of co-morbid mental disorder in people with epilepsy was very low. Combining clinical judgement with use of a screening scale holds promise but needs further evaluation.


Author(s):  
Y Ke ◽  
S Chew ◽  
E Seet ◽  
WY Wong ◽  
V Lim ◽  
...  

Introduction: Post-anaesthesia care unit (PACU) delirium affects 5%–45% of patients after surgery and is associated with postoperative delirium and increased mortality. Up to 40% of PACU delirium is preventable but it remains under-recognised due to a lack of awareness for its diagnosis. Nursing Delirium Screening Scale (Nu-DESC) has been validated in diagnosing PACU delirium but is not routine locally. This study aim was to use the Nu-DESC to establish the incidence and risk factors of PACU delirium in patients undergoing non-cardiac surgery in the surgical population. Methods: With IRB approval and informed consent, we conducted an audit of eligible patients undergoing major surgery in three major public hospitals in Singapore over one week. Patients were assessed for delirium 30–60 minutes following their arrival in the PACU using the Nu-DESC with a score of ≥ 2 as indicative of delirium. Results: A total of 478 patients were assessed. The overall incidence rate of PACU delirium was 18/478 (3.8%) and 9/146 (6.2%) in patients over 65 years old. PACU delirium was more common in females, patients with malignancy and those who underwent longer operations. Logistic Regression analysis showed that the use of BIS (p < 0.001) and the presence of malignancy (p<0.001) were significantly associated with a higher incidence of PACU delirium. Conclusion: In this first local study, the incidence of PACU delirium was 3.8%, with the incidence increasing to 6.2% in those older than 65 years old. Understanding these risk factors will form the basis for which protocols can be established to optimise resource management and prevent long term morbidities and mortality of PACU delirium.


Author(s):  
Sabina Krupa ◽  
Ozga Dorota ◽  
Adriano Friganovic ◽  
Wioletta Mędrzycka-Dąbrowska ◽  
Krzysztof Jurek

Introduction: Delirium is a common complication of patients hospitalized in Intensive care units (ICU). The risk of delirium is estimated at approximately 80% in intensive care units. In the case of cardiac surgery ICU, the risk of delirium increases due to the type of procedures performed with the use of extracorporeal circulation. The aim of this study was to provide an official translation and evaluation of Nursing Delirium Screening Scale (NuDESC) into Polish. The NuDESC scale is a scale used by nurses around the world to detect delirium at an early stage in treatment. Methods: The method used in the study was the NuDESC tool, which was translated into Polish. The study was conducted by Cardiac ICU nurses during day shift (at 8 a.m.), night shift (at 8 p.m.) and in other situations where the patients showed delirium-like symptoms. Results: Statistically significant differences were observed between the first and second day in the studied group of patients in the case of illusions/hallucinations. Delirium occurred more frequently during the night, but statistical significance was demonstrated for both daytime and nighttime shifts. It was not demonstrated in relation to the NuDESC scale in the case of insomnia disorders. The diagnosis of delirium and disorientation was the most common diagnosis observed in patients on the first day of their stay in the ICU, followed by problems with communication. Delirium occurred on the first day, mainly at night. On the second day, delirium was much less frequent during the night; the biggest problem was disorientation and problems with communication. Conclusion: This study contributed to the development of the Polish version of the scale (NuDESC PL) which is now used as the Polish screening tool for delirium detection. The availability of an easy-to-use nurse-based delirium instrument is a prerequisite for widespread implementation.


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