Measuring Failures Proneness: Scale Development and Preliminary Validations.
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ABSTRACT:
SUBMITTER: Diamant I
PROVIDER: S-EPMC8711769 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundThere is a need for a validated self-assessment questionnaire for cognitive impairment in subjects reporting subjective tinnitus. The objective was to develop a patient-reported outcome measure.MethodsThis was a prospective, non-interventional, multicultural study. The 30-item "Attention and Performance Self-Assessment Scale" (APSA) was linguistically validated in Germany, Mexico and USA and was analyzed for content and structure. The analysis included descriptive statistics of baseline data, item characteristics, test-retest reliability (intra-class correlation coefficients, ICC), definition of internal consistency (Cronbach' s alpha), and explorative and confirmatory factor analysis to define the structure of the scale. Correlations with various tinnitus scales and subscales from the Hospital Anxiety and Depression Scale (HADS) were done to estimate convergent validity.ResultsThe data for 211 subjects aged 30 through 60 years, (mean= 48.5 years, SD= 8.3) with mild to moderate tinnitus (mean Tinnitus Handicap Inventory-12 (THI-12) total score 11.2, SD= 5.3) were analyzed. The majority of subjects had sub-clinical scores for anxiety and depression (HADS below 11 points). Sequential principal factor analyses of the APSA resulted in a subscale which included 20 (APS20) of the original 30 items and two correlated subscales (AP-F1, AP-F2) defined by 9 items each. Both factor solutions were confirmed by confirmatory factor analysis. Test retest reliability of the APS20, AP-F1 and AP-F2 (ICC ≥ 0.87) and internal consistency (Cronbach's alpha ≥ 0.89) are high. APS20 correlated moderately high with HADS (depression: 0.54; anxiety: 0.62) and THI-12 total (0.52). In a few cases, AP-F2 correlated higher than AP-F1 with other scales (e.g. HADS-depression with AP-F1: only 0.46, but AP-F2: 0.59).ConclusionsAPS20, AP-F1, and AP-F2 have good psychometrical properties. The scales will add value to the assessment of cognitive aspects of quality of life and mental health in the population with subjective tinnitus. The subscales AP-F1 and AP-F2 may be helpful for detecting specific cognitive failures and may be sensitive to different interventional effects.
| S-EPMC3674948 | biostudies-literature
Project description:BackgroundThe review of collateral information is an essential component of patient care. Although this is standard practice, minimal research has been done to quantify collateral information collection and to understand how collateral information translates to clinical decision making. To address this, we developed and piloted a novel measure (the McLean Collateral Information and Clinical Actionability Scale [M-CICAS]) to evaluate the types and number of collateral sources viewed and the resulting actions made in a psychiatric setting.ObjectiveThis study aims to test the feasibility of the M-CICAS, validate this measure against clinician notes via medical records, and evaluate whether reviewing a higher volume of collateral sources is associated with more clinical actions taken.MethodsFor the M-CICAS, we developed a three-part instrument, focusing on measuring collateral sources reviewed, clinical actions taken, and shared decision making between the clinician and patient. To determine feasibility and preliminary validity, we piloted this measure among clinicians providing psychotherapy at McLean Hospital. These clinicians (n=7) completed the M-CICAS after individual clinical sessions with 89 distinct patient encounters. Scales were completed by clinicians only once for each patient during routine follow-up visits. After clinicians completed these scales, researchers conducted chart reviews by completing the M-CICAS using only the clinician's corresponding note from that session. For the analyses, we generated summary scores for the number of collateral sources and clinical actions for each encounter. We examined Pearson correlation coefficients to assess interrater reliability between clinicians and chart reviewers, and simple univariate regression modeling followed by multilevel mixed effects regression modeling to test the relationship between collateral information accessed and clinical actions taken.ResultsThe study staff had high interrater reliability on the M-CICAS for the sources reviewed (r=0.98; P<.001) and actions taken (r=0.97; P<.001). Clinician and study staff ratings were moderately correlated and statistically significant on the M-CICAS summary scores for the sources viewed (r=0.24, P=.02 and r=0.25, P=.02, respectively). Univariate regression modeling with a two-tailed test demonstrated a significant association between collateral sources and clinical actions taken when clinicians completed the M-CICAS (β=.27; t87=2.47; P=.02). The multilevel fixed slopes random intercepts model confirmed a significant association even when accounting for clinician differences (β=.23; t57=2.13; P=.04).ConclusionsThis pilot study established the feasibility and preliminary validity of the M-CICAS in assessing collateral sources and clinical decision making in psychiatry. This study also indicated that reviewing more collateral sources may lead to an increased number of clinical actions following a session.
| S-EPMC8082386 | biostudies-literature
Project description:Mapping human behaviors to brain activity has become a key focus in modern cognitive neuroscience. As methods such as functional MRI (fMRI) advance cognitive scientists show an increasing interest in investigating neural activity in terms of functional connectivity and brain networks, rather than activation in a single brain region. Due to the noisy nature of neural activity, determining how behaviors are associated with specific neural signals is not well-established. Previous research has suggested graph theory techniques as a solution. Graph theory provides an opportunity to interpret human behaviors in terms of the topological organization of brain network architecture. Graph theory-based approaches, however, only scratch the surface of what neural connections relate to human behavior. Recently, the development of data-driven methods, e.g., machine learning and deep learning approaches, provide a new perspective to study the relationship between brain networks and human behaviors across the whole brain, expanding upon past literatures. In this review, we sought to revisit these data-driven approaches to facilitate our understanding of neural mechanisms and build models of human behaviors. We start with the popular graph theory approach and then discuss other data-driven approaches such as connectome-based predictive modeling, multivariate pattern analysis, network dynamic modeling, and deep learning techniques that quantify meaningful networks and connectivity related to cognition and behaviors. Importantly, for each topic, we discuss the pros and cons of the methods in addition to providing examples using our own data for each technique to describe how these methods can be applied to real-world neuroimaging data.
| S-EPMC9244405 | biostudies-literature
Project description:BackgroundSelf-regulation refers to a person's ability to manage their cognitive, emotional, and behavioral processes to achieve long-term goals. Most prior research has examined self-regulation at the individual level; however, individual-level assessments do not allow the examination of dynamic patterns of intraindividual variability in self-regulation and thus cannot aid in understanding potential malleable processes of self-regulation that may occur in response to the daily environment.ObjectiveThis study aims to develop a brief, psychometrically sound momentary self-regulation scale that can be practically administered through participants' mobile devices at a momentary level.MethodsThis study was conducted in 2 phases. In the first phase, in a sample of 522 adults collected as part of a larger self-regulation project, we examined 23 previously validated assessments of self-regulation containing 594 items in total to evaluate the underlying structure of self-regulation via exploratory and confirmatory factor analyses. We then selected 20 trait-level items to be carried forward to the second phase. In the second phase, we converted each item into a momentary question and piloted the momentary items in a sample of 53 adults over 14 days. Using the results from the momentary pilot study, we explored the psychometric properties of the items and assessed their underlying structure. We then proposed a set of subscale and total score calculations.ResultsIn the first phase, the selected individual-level items appeared to measure 4 factors of self-regulation. The factors identified were perseverance, sensation seeking, emotion regulation, and mindfulness. In the second phase of the ecological momentary assessment pilot, the selected items demonstrated strong construct validity as well as predictive validity for health risk behaviors.ConclusionsOur findings provide preliminary evidence for a 12-item momentary self-regulation scale comprising 4 subscales designed to capture self-regulatory dynamics at the momentary level.
| S-EPMC9131140 | biostudies-literature
Project description:PurposeWe evaluate a smartphone application (app) performing an automated photographic Hirschberg test for measurement of eye deviations.MethodsThree evaluation studies were conducted to measure eye deviations in the horizontal direction. First, gaze angles were measured with respect to the ground truth in nonstrabismic subjects (n = 25) as they fixated monocularly on targets of known eccentricity covering an angular range of approximately ±13°. Second, phoria measurements with the app at near fixation (distance = 40 cm) were compared with the modified Thorington (MT) test in normally-sighted subjects (n = 14). Third, eye deviations using the app were compared to a cover test with prism neutralization (CTPN; n = 66) and Synoptophore (n = 34) in strabismic subjects. Regression analyses were used to compare the app and clinical measurements of the magnitude and direction of eye deviations (prism diopters, Δ).ResultsThe gaze angles measured by the app closely followed the ground truth (slope = 1.007, R 2 = 0.97, P < 0.001), with a root mean squared error (RMSE) of 2.4Δ. Phoria measurements with the app were consistent with MT (slope = 0.94, R 2 = 0.97, P < 0.001, RMSE = 1.7Δ). Overall, the strabismus measurements with the app were higher than with Synoptophore (slope = 1.15, R 2 = 0.91, P < 0.001), but consistent with CTPN (slope = 0.95, R 2 = 0.95, P < 0.001). After correction of CTPN values for near fixation, the consistency of the app measurements with CTPN was improved further (slope = 1.01).ConclusionsThe app measurements of manifest and latent eye deviations were consistent with the comparator clinical methods.Translational relevanceA smartphone app for measurement of eye alignment can be a convenient clinical tool and has potential to be beneficial in telemedicine.
| S-EPMC6369861 | biostudies-literature
Project description:BackgroundThe assessment of functioning and disability is an important part of the clinical evaluation, since it measures disease burden and reflects the effectiveness of therapeutic planning and interventions. The aim of the current study was to develop such a self-report instrument on the basis of a review of the literature, and compatible with the WHO approach.Material and methodsThe review of the literature led to the development of the Global Disability Scale (Glo.Di.S) with 25 items assessing different aspects of disability. The study sample included 728 persons from vulnerable populations (homeless, jobless, very low income, single parent families etc.; (29.12% males and 70.88% females; aged 55.96?±?15.22?years). The protocol included also the STAI and the CES-D. The statistical analysis included factor analysis item analysis and ANCOVA.ResultsThe factor analysis revealed the presence of 4 factors explaining 71% of total variance (Everyday functioning, Social and interpersonal functioning, Severity and Mental disability). Chronbach's alpha for the whole scale was 0.95 and for subscales were 0.74-0.94.DiscussionThe results of the current study suggest that the Glo.Di.S. has the potential to serve as a reliable and valid tool for assessing functioning and disability. Further research is needed to prove that it could be useful across countries, populations and diseases, and whether it provides data that are culturally meaningful and comparable. It can be used in surveys and in clinical research settings and it can generate information of use in evaluating health needs and the effectiveness of interventions to reduce disability and improve health.
| S-EPMC3434028 | biostudies-literature
Project description:OBJECTIVE:This study aimed to develop a questionnaire for measuring patient perceptions of participating in clinical trials. Development was based on earlier research on patient views of involvement in medical care and a literature review. Patients were recruited from an ongoing clinical trial focused on cardiovascular illness and from an outpatient psychiatry department. Factor analysis was conducted on a pilot version of the questionnaire in 2016 and on a revised version in 2017. RESULTS:A total of 53 patients were recruited for the pilot study and 55 were recruited for the main study, substantially below the goal of 100 participants. Factor analysis revealed six factors measuring aspects of patients' perceptions of participating in clinical trials, including motivation, risks and benefits, the nature of the trial itself, and practical considerations, such as cost and convenience. Inter-scale correlations ranged between 0.06 and 0.64, indicating acceptable scale independence. Reliability scores (Cronbach's alphas) ranged from 0.62 to 0.85. Factor analysis results were somewhat unstable, with shared variance for several items across scales. This is likely due to the small sample sizes. In larger, more diverse patient samples, this questionnaire can be useful for measuring and incorporating patients' views into the design and execution of clinical trials.
| S-EPMC6805544 | biostudies-literature
Project description:Efforts to measure religion have intensified, and many specific dimensions have been identified. However, although belief is a core dimension of all world religions, little attention has been given to assessment of religious beliefs. In particular, 1 essential set of religious beliefs, those concerning the reasons for human suffering, has remained virtually unexamined despite the potential clinical relevance of these beliefs. To fill the need for a measure of people's beliefs about suffering, we developed the Views of Suffering Scale (VOSS). Analyses identified factors related to traditional Christian teachings, unorthodox theistic beliefs, karma, and randomness. Internal consistency and test-retest reliability for VOSS subscale scores were good (?s and rs ? .70). Comparisons to measures of related constructs suggest that the VOSS scores demonstrate good convergent validity. One subscale score was modestly correlated with social desirability related to image management, and 7 were positively correlated to self-deceptive enhancement. These preliminary studies suggest that the VOSS differentiates religious perspectives on suffering among a sample of U.S. university students, though more research is needed to confirm its utility in diverse populations. The VOSS provides a valid way to measure individuals' beliefs about suffering, allowing for inquiry into the factors that lead to various beliefs about suffering and the roles of these beliefs in adjusting to stressful life events.
| S-EPMC3695743 | biostudies-literature
Project description:The World Health Organization recommends exclusive breastfeeding (EBF) for 6 months and continued breastfeeding for at least 2 years. Social support has been widely recognized to influence breastfeeding practices. However, existing scales do not measure exclusive breastfeeding social support (EBFSS), rather they assess social support for any breastfeeding. Further, they are tailored towards high-income settings. Therefore, our objectives were to develop and validate a tool to measure EBFSS in low-income settings. To develop the scale, local and international breastfeeding experts were consulted on modifications to the Hughes' Breastfeeding Social Support Scale. It was then implemented in an observational cohort in Gulu, Uganda, at 1 (n = 238) and 3 (n = 237) months post-partum (NCT02925429). We performed polychoric and polyserial correlations to remove redundant items and exploratory factor analysis at 1 month post-partum to determine the latent factor structure of EBFSS. We further applied confirmatory factor analysis to assess dimensionality of the scale at 3 months post-partum. We then conducted tests of predictive, convergent, and discriminant validity against EBF, self-efficacy, general social support, and depression. The modification of the Hughes' scale resulted in 18 items, which were reduced to 16 after examining variances and factor loadings. Three dimensions of support emerged: Instrumental, Emotional, and Informational, with alpha coefficients of 0.79, 0.85, and 0.83, respectively. Predictive, convergent, and discriminant validity of the resultant EBFSS scale was supported. The EBFSS scale is valid and reliable for measuring EBFSS in northern Uganda and may be of use in other low-income settings to assess determinants of EBF.
| S-EPMC6025842 | biostudies-literature
Project description:Background and objectivesTechnology has the potential to provide assistance and enrichment to older people; however, the desired outcomes are dependent on users' acceptance and usage. The senior technology acceptance model (STAM) was developed as a multidimensional measure assessing older people's acceptance of general technology. It contained 11 constructs measured by 38 items and had shown satisfactory psychometric properties. However, the length of the questionnaire increased respondent burden and limited its utilization. The study aimed to develop a brief, reliable, and valid version of scale to measure older people's technology acceptance by shortening the full, 38-item STAM questionnaire.Research design and methodsThe research method included (1) a sequential item-reduction strategy maximizing internal consistency, (2) convergent and discriminant validity analysis based on confirmative factor analysis, and (3) an expert review of resultant items. Data previously collected for developing the original STAM questionnaire were used to create the brief version. The data were collected from 1,012 community-dwelling individuals aged 55 and older in Hong Kong. Internal consistency and construct validity of the shortened questionnaire were examined. Two experts were invited for reviewing content validity.ResultsThe final 14-item, brief version of the STAM questionnaire consisted of a 4-factor structure, representing classical technology acceptance constructs and age-related health characteristics. Theoretical relationships in the brief version showed similar patterns to the original STAM. The 14-item STAM demonstrated robustness in psychometrics by preserving the reliability and validity of the original STAM questionnaire.Discussion and implicationsThe availability of a reliable and valid assessment tool of the short STAM can help researchers and practitioners to measure older adults' acceptance of technology and its effective usage. The short STAM could save administration time, reduce the burden on respondents, and be included in large-scale surveys.
| S-EPMC7320876 | biostudies-literature