This systematic review explored the instruments used to measure Shared Decision Making (SDM) within long-term care (LTC) settings. Relevant publications from the period between January 2000 and October 2022 were searched across five databases. Thirty-six SDM assessment instruments were identified, which encompassed those measuring SDM for LTC recipients/family caregivers and/or healthcare providers. These instruments were either specifically tailored for LTC settings or more broadly applicable across healthcare contexts, including LTC. In terms of psychometric properties of the instruments, internal consistency reliability, content validity, structural validity, and hypothesis testing were commonly tested. The findings of this research can aid health researchers, managers, and scholars in choosing suitable instruments for assessing SDM in specific LTC scenarios, considering factors such as measurement scope, assessment methods, and instrument reliability. Additionally, these findings offer valuable insights for the future development of high-quality SDM assessment instruments in LTC field.
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http://dx.doi.org/10.1016/j.gerinurse.2024.08.020 | DOI Listing |
JMIR Form Res
December 2024
Department of Sports Science, College of Education, Zhejiang University, No. 866, Yuhangtang Road, Hangzhou, 310030, China, 86 18667127699.
Background: Smartwatches are increasingly popular for physical activity and health promotion. However, ongoing validation studies on commercial smartwatches are still needed to ensure their accuracy in assessing daily activity levels, which is important for both promoting activity-related health behaviors and serving research purposes.
Objective: This study aimed to evaluate the accuracy of a popular smartwatch, the Huawei Watch GT2, in measuring step count (SC), total daily activity energy expenditure (TDAEE), and total sleep time (TST) during daily activities among Chinese adults, and test whether there are population differences.
JMIR Ment Health
December 2024
Otsuka Pharmaceutical Development & Commercialization, Inc, 508 Carnegie Center Drive, Princeton, NJ, 08540, United States, 1 609 535 9035.
Background: Sleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), providing insight into their well-being. The gold standard for monitoring sleep is polysomnography (PSG), which requires a sleep lab facility; however, advances in wearable sensor technology allow for real-world sleep-wake monitoring.
Objective: The goal of this study was to develop a PSG-validated sleep algorithm using accelerometer (ACC) and electrocardiogram (ECG) data from a wearable patch to accurately quantify sleep in a real-world setting.
Front Psychiatry
December 2024
Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Objectives: We aimed to assess the quality of information regarding depression on Chinese websites and popular video platforms.
Methods: We conducted searches on website platforms (Baidu, Bing) and video platforms (Bilibili, Douyin) using search terms "depression", "depressive disorder", "depression treatment", "depressive anxiety", "depressed patient", and "depressive symptoms". We collected the first 50 results with each search term in each platform.
Front Psychiatry
December 2024
Insititute of Psychology, SWPS University, Warsaw, Poland.
Introduction: In recent years there has been a notable expansion of psychotherapeutic approaches to treat people experiencing auditory verbal hallucinations (AVH). While many psychotherapists conceptualize voices as "dissociative parts" and apply therapeutic techniques derived from the field of dissociation, research investigating AVH from this perspective is limited. Despite the acknowledgment that voices encountered in dissociative identity disorder (DID) often exhibit high complexity and autonomy, there is a critical need for assessment tools capable of exploring voice complexity across different clinical groups.
View Article and Find Full Text PDFFront Psychiatry
December 2024
Department for Child and Adolescent Psychiatry/Psychotherapy, University Clinic for Psychosomatic Medicine and Psychotherapy Ulm, Ulm, Germany.
Background: The Patient Health Questionnaire (PHQ-9) is a popular tool for assessing depressive symptoms in both general and clinical populations. The present study used a large representative sample of the German adult population to confirm desired psychometric functioning and to provide updated population norms.
Methods: The following psychometric properties were assessed: (i) Item characteristics (item means, standard deviations and inter-item correlations), (ii) Construct validity (correlations of the PHQ-9 sum-score with scores obtained from instruments assessing depression, anxiety and somatization (GAD-7, BSI-18), (iii) Internal consistency (coefficient omega), (iv) Factorial validity (via confirmatory factor analysis of the assumed one factorial model) as well as (v) Measurement invariance (via multi-group confirmatory factor analyses across gender, age, income and education).
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