scholarly journals Subjective Dimension of Mental Health: Psychometric Properties of the Ukrainian Version of Orientation to Happiness Scale

2019 ◽  
Vol 11 (2) ◽  
pp. 26-40
Author(s):  
Iryna KRYVENKO ◽  
Galyna PETRYK
Keyword(s):  
Mental Health ◽  
Psychometric Properties

Psychometric Properties of the German Version of the Scale to Assess the Therapeutic Relationship in Community Mental Health Care (D-STAR)

2012 ◽  
Vol 28 (4) ◽  
pp. 255-261 ◽  
Author(s):  
Sabine Loos ◽  
Reinhold Kilian ◽  
Thomas Becker ◽  
Birgit Janssen ◽  
Harald Freyberger ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Community Mental Health ◽  
Mental Health Care ◽  
Psychometric Properties ◽  
Therapeutic Relationship ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Community Mental Health Care ◽  
German Version

Objective: There are presently no instruments available in German language to assess the therapeutic relationship in psychiatric care. This study validates the German version of the Scale to Assess the Therapeutic Relationship in Community Mental Health Care (D-STAR). Method: 460 persons with severe mental illness and 154 clinicians who had participated in a multicenter RCT testing a discharge planning intervention completed the D-STAR. Psychometric properties were established via item analysis, analyses of missing values, internal consistency, and confirmatory factor analysis. Furthermore, convergent validity was scrutinized via calculating correlations of the D-STAR scales with two measures of treatment satisfaction. Results: As in the original English version, fit indices of a 3-factor model of the therapeutic relationship were only moderate. However, the feasibility and internal consistency of the D-STAR was good, and correlations with other measures suggested reasonable convergent validity. Conclusions: The psychometric properties of the D-STAR are acceptable. Its use can be recommended in German-speaking countries to assess the therapeutic relationship in both routine care and research.

scholarly journals The Study on Stress, Spirituality, and Health (SSSH): Psychometric Evaluation and Initial Validation of the SSSH Baseline Spirituality Survey

Religions ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 150
Author(s):  
Erica T. Warner ◽  
Blake Victor Kent ◽  
Ying Zhang ◽  
M. Austin Argentieri ◽  
Wade C. Rowatt ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychometric Properties ◽  
Predictive Validity ◽  
Short Form ◽  
Psychometric Testing ◽  
Psychometric Evaluation ◽  
Ethnically Diverse ◽  
Physical And Mental Health ◽  
Spirituality And Health ◽  
Wide Range

This paper describes the development and initial psychometric testing of the baseline Spirituality Survey (SS-1) from the Study on Stress, Spirituality, and Health (SSSH). The SS-1 contains a mixture of items selected from validated existing scales and new items generated to measure important constructs not captured by existing instruments, and our purpose here was to establish the validity of new and existing measures in a racially/ethnically diverse sample. Psychometric properties of the SS-1 were evaluated using standard psychometric analyses in 4563 SSSH participants. Predictive validity of SS-1 scales was assessed in relation to the physical and mental health component scores from the Short-Form 12 Health Survey (SF-12). Scales exhibited adequate to strong psychometric properties and demonstrated construct and predictive validity. Overall, the correlational findings provided solid evidence that the SS-1 scales are associated with a wide range of relevant R/S attitudes, mental health, and to a lesser degree physical health.

Validity and reliability of the Self-administered-Psycho-TherApy-SystemS (SELFPASS) depression and anxiety self-assessment item pool: a cross-sectional online survey (Preprint)

2021 ◽  
Author(s):  
Gwendolyn Mayer ◽  
Svenja Hummel ◽  
Nadine Gronewold ◽  
Oetjen Neele ◽  
Thomas Hilbel ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Healthy Subjects ◽  
Criterion Validity ◽  
Depression And Anxiety ◽  
Item Pool ◽  
Validity And Reliability ◽  
Self Assessment ◽  
Underlying Factor

BACKGROUND E-mental-health applications targeting at depression and anxiety have gained increased attention in mental health care. Daily self-assessment is an essential part of e-mental-health apps. The app SELFPASS (Self-administered-Psycho-TherApy-SystemS) is a self-management app to manage depressive and anxious symptoms. A self-developed item pool with 40 depression items and 12 anxiety items is included to provide symptom specific suggestions for interventions. However, the psychometric properties of the item pool have not yet been tested. OBJECTIVE The aim of this study is to investigate the validity and reliability of the SELFPASS item pool that has been developed for an internet-based daily self-assessment of depressive and anxious symptoms. METHODS An online link with the SELFPASS item pool and validated mood assessment scales were distributed to healthy subjects and patients who had received a diagnosis of a depressive disorder within the last year. Two scores were derived from the SELFPASS item pool: SELFPASS depression (SP-D) and SELFPASS anxiety (SP-A). The reliability was examined using Cronbach’s α. The construct validity was assessed via Pearson correlations with the Patients Health Questionnaire-9 (PHQ-9), the General Anxiety Disorder Scale-7 (GAD-7) and the WHO-5-Wellbeing-Scale (WHO-5). A logistic regression was performed as an indicator for concurrent criterion validity of SP-D and SP-A. A factor analysis provides information about the underlying factor structure of the item pool. Item-scale-correlations were calculated in order to determine item quality. RESULTS A total of n=284 participants were included, with n=192 (67.6%) healthy subjects and n=92 (32.4%) patients. Cronbach’s α was α=0.94 for SP-D and α=0.88 for SP-A. We found significant positive correlations of SP-D and PHQ-9 (r=0.87, P<.001), SP-A and GAD-7 (r=0.80, P<.001), and negative correlations of SP-D and WHO-5 (r=-0.80, P<.001) and SP A and WHO-5 (r=-.69, P<.001). Increasing scores of SP-D and SP-A led to increased odds of belonging to the patient group (SP-D: OR=1.03 (1.01 – 1.05), P<.001; SP-A: 1.05 (1.05 – 1.01), P=.01). The item pool showed two factors with one that consisted of mood-related items and another factor with somatic-related items. CONCLUSIONS The SELFPASS item pool showed good psychometric properties in terms of reliability, construct and criterion validity. However, the underlying factor structure could not be reduced to the two diagnostic categories depression and anxiety, but to a more mood related and a rather somatic factor. Few items should be replaced for future use.

scholarly journals ShareDisk: A novel visual tool to assess perceptions about who should be responsible for supporting persons with mental health problems

2020 ◽  
Vol 66 (4) ◽  
pp. 411-418
Author(s):  
Srividya N Iyer ◽  
Megan A Pope ◽  
Gerald Jordan ◽  
Greeshma Mohan ◽  
Heleen Loohuis ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychometric Properties ◽  
Clinical Utility ◽  
Mental Health Problems ◽  
Health Problems ◽  
Language And Literacy ◽  
Retest Reliability ◽  
Visual Tool ◽  
Test Retest Reliability ◽  
High Test

Objectives: Views on who bears how much responsibility for supporting individuals with mental health problems may vary across stakeholders (patients, families, clinicians) and cultures. Perceptions about responsibility may influence the extent to which stakeholders get involved in treatment. Our objective was to report on the development, psychometric properties and usability of a first-ever tool of this construct. Methods: We created a visual weighting disk called ‘ShareDisk’, measuring perceived extent of responsibility for supporting persons with mental health problems. It was administered (twice, 2 weeks apart) to patients, family members and clinicians in Chennai, India ( N = 30, 30 and 15, respectively) and Montreal, Canada ( N = 30, 32 and 15, respectively). Feedback regarding its usability was also collected. Results: The English, French and Tamil versions of the ShareDisk demonstrated high test–retest reliability ( rs = .69–.98) and were deemed easy to understand and use. Conclusion: The ShareDisk is a promising measure of a hitherto unmeasured construct that is easily deployable in settings varying in language and literacy levels. Its clinical utility lies in clarifying stakeholder roles. It can help researchers investigate how stakeholders’ roles are perceived and how these perceptions may be shaped by and shape the organization and experience of healthcare across settings.

Aspects of Selecting Outcome Measures to Demonstrate the Effectiveness of Comprehensive Rehabilitation

1993 ◽  
Vol 56 (11) ◽  
pp. 394-400 ◽  
Author(s):  
Lily I H Jeffrey
Keyword(s):  
Mental Health ◽  
Psychometric Properties ◽  
Social Functioning ◽  
Outcome Measures ◽  
Selection Criteria ◽  
Self Care ◽  
Informed Choice ◽  
Health Interventions ◽  
Mental Health Interventions ◽  
Comprehensive Rehabilitation

To enable clinicians to make an informed choice when selecting outcome measures to demonstrate the effectiveness of comprehensive rehabilitation, what objective criteria should be examined? This article considers the importance of the purpose, content, psychometric properties and ease of administration in selecting measures. Several outcome instruments evaluating self-care and mobility, mental health interventions and comprehensive rehabilitation approaches are examined with reference to these selection criteria. Measures that evaluate physical, psychological and social functioning, taking into account the desired outcome of the patient and his/her carers, are highlighted.

scholarly journals Psychometric Properties of the Korean Version of the Mental Health Professionals Stress Scale

2021 ◽  
Vol 12 ◽  
Author(s):  
Eun Sol Lee ◽  
Vin Ryu ◽  
Ji Hyun Lee ◽  
Hyeon Hong ◽  
Hyeree Han ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychometric Properties ◽  
Social Workers ◽  
Mental Health Professionals ◽  
Health Professionals ◽  
Concurrent Validity ◽  
Online Survey ◽  
Factor Model ◽  
Depression And Anxiety ◽  
Stress Scale

Background: Job stress of mental health professionals can have a negative impact on them, particularly their psychological health and mortality, and may also affect organizations' and institutions' ability to provide quality mental health services to patients.Aim: This study aimed to: (1) investigate the validity and reliability of the Korean Mental Health Professionals Stress Scale (K-MHPSS), (2) develop K-MHPSS cut-off points to measure clinical depression and anxiety, and (3) examine whether specific stressors vary by area of expertise.Methodology: Data were collected via an online survey over 3 months, from August to October 2020. An online survey using a survey website was administered to volunteers who accessed the link and consented to participate. Data from 558 participants (200 clinical psychologists, 157 nurses, and 201 social workers) were included in the final analysis. Confirmatory and exploratory factor analyses were conducted to examine the factor structure of the K-MHPSS; concurrent validity of the scale was determined by analyzing correlation; internal consistency was determined by Cronbach's alpha coefficient. In addition, ROC curve analysis and Youden's index were used to estimate optimal cut-off points for K-MHPSS; one-way ANOVA was performed to investigate the difference among the three groups.Results: The seven-factor model of the original scale did not be replicated by Korean mental health professionals. The K-MHPSS had the best fit with the six-factor model, which consists of 34 items. Concurrent validity was confirmed, and overall reliability was found to be good. The K-MHPSS cut-off points for depression and anxiety appeared to slightly different by professional groups. Furthermore, nurses and social workers showed significantly higher total scores compared to clinical psychologists, and there are significant differences in subscale scores among professionals.Conclusion: The Korean version of the MHPSS has appropriate psychometric properties and can be used to assess the occupational stress of mental health professionals. It can also serve as a reference point for screening clinical level of depression and anxiety in mental health professionals.

scholarly journals Development of a co-produced tool for monitoring and supporting the mental health of young people

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S267-S267
Author(s):  
Joy MacKeith ◽  
Anna Good ◽  
Sara Burns
Keyword(s):  
Mental Health ◽  
Young People ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Healthy Lifestyle ◽  
Care Plan ◽  
Medium Effect ◽  
Service Users ◽  
Extensive Experience ◽  
Active Involvement

AimsThe aims were to develop and validate a tool for monitoring and supporting the mental health of young people. Based on extensive experience of developing similar tools, the hypothesis was that a user-friendly tool could be produced with sound psychometric properties.BackgroundThe Outcomes Star is a suite of collaboratively completed, strengths-based tools with the dual roles of both supporting and monitoring change. Service users are empowered through their active involvement in identifying their strengths and creating their care plan. Triangle, the creators of the Outcomes Star was approached by a number of organisations to develop a version of the Star for young people with mental health issues in early intervention services and also to support young people in managing a diagnosed mental illness.MethodUsing a series of focus groups and an iterative process of refinement we gathered data from practitioners and service users on the domains in which they wish to create change, and the steps of the change process. A draft version of the new tool was piloted in two organisations by 67 workers and 177 young people over six months. The pilot data were analysed to assess the psychometric properties of My Mind Star (acceptability, skew, factor structure, internal consistency, item redundancy and responsiveness).ResultThe resulting tool, My Mind Star consisted of seven domains: Feelings and emotions, Healthy lifestyle, Where you live, Friends and relationships, School, training and work, How you use your time and Self-esteem. Almost all young people and practitioners (94%) agreed that their completed Star was ‘a good summary of my life right now’ and that it gave a better idea of service users’ support needs. Psychometric analyses indicated a unidimensional structure with good internal consistency (α = .76) and no item redundancy. My Mind Star was responsive to change between the first and second readings, with medium and small-medium effect sizes.ConclusionInitial findings suggest that My Mind Star has good psychometric properties and is perceived as acceptable and useful by young people and practitioners, Further research is planned to conduct a full validation of the psychometric properties of this Star including inter-rater reliability and predictive validity.Financial sponsorship of the study: Action for Children

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