Improving Accuracy of a Self-Report Measure of Substance Use

Objectives The purpose of the current study was to examine whether a self-report measure identifies prenatal substance use and predicts resulting adverse birth outcomes in a large cohort using electronic medical records. Methods Pregnant patients who were admitted between 2014 and 2015 at Christiana Care Health System and delivered singleton birth were included in the analyses ( N = 11,020). Participant demographic information, pregnancy comorbidities, self-reported substance use, and birth outcomes were retrieved from electronic medical records. Detailed descriptive analyses of prenatal substance use were conducted, and logistic models were evaluated for the associations between substance use and each birth outcome (preterm birth, low birth weight, neonatal intensive care unit admission). Results The average maternal age was 30 years (standard deviation: 6), 37% receiving Medicaid. Over 58% were White, 26% were Black, and 13% were Hispanic. Cigarette smoking only showed the highest prevalence among substance users (53%). Self-reported cigarette smoking and illicit drug use other than marijuana significantly predicted all three adverse birth outcomes (Adjusted Odds Ratio [AOR] range: 1.33 (95% Confidence Interval [CI]: 1.08–1.64)–3.09 (95% CI: 2.03–4.67)). Nonresponders to the cigarette smoking question also significantly predicted two adverse birth outcomes of preterm birth delivery (AOR: 4.16; 95% CI: 1.27–14.71) and having low birth weight babies (AOR: 3.50; 95% CI: 1.04–12.61). Conclusions/Importance: Prenatal cigarette smoking only had the highest prevalence, and co-use with illicit drugs was also high, leading to significant associations with adverse birth outcomes. The study findings indicate that the self-report measurement is a useful tool to identify prenatal substance use and predict resulting adverse birth outcomes.

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Dimensionality and Reliability Assessment of the Pain Patient Profile Questionnaire

European Journal of Psychological Assessment ◽

10.1027/1015-5759.24.1.22 ◽

2008 ◽

Vol 24 (1) ◽

pp. 22-26 ◽

Cited By ~ 1

Author(s):

Brian E. McGuire ◽

Michael J. Hogan ◽

Todd G. Morrison

Keyword(s):

Self Report ◽

Pain Patient ◽

Fit Indices ◽

Depression And Anxiety ◽

Oblique Rotation ◽

Pain Experience ◽

Patient Profile ◽

Adequate Representation ◽

Pain Patients ◽

Report Measure

Abstract. Objective: To factor analyze the Pain Patient Profile questionnaire (P3; Tollison & Langley, 1995 ), a self-report measure of emotional distress in respondents with chronic pain. Method: An unweighted least squares factor analysis with oblique rotation was conducted on the P3 scores of 160 pain patients to look for evidence of three distinct factors (i.e., Depression, Anxiety, and Somatization). Results: Fit indices suggested that three distinct factors, accounting for 32.1%, 7.0%, and 5.5% of the shared variance, provided an adequate representation of the data. However, inspection of item groupings revealed that this structure did not map onto the Depression, Anxiety, and Somatization division purportedly represented by the P3. Further, when the analysis was re-run, eliminating items that failed to meet salience criteria, a two-factor solution emerged, with Factor 1 representing a mixture of Depression and Anxiety items and Factor 2 denoting Somatization. Each of these factors correlated significantly with a subsample's assessment of pain intensity. Conclusion: Results were not congruent with the P3's suggested tripartite model of pain experience and indicate that modifications to the scale may be required.

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Factor Structure and Measurement Invariance of the Obsessive-Compulsive Inventory – Child Version (OCI-CV) in General Population

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000276 ◽

2017 ◽

Vol 33 (2) ◽

pp. 97-103 ◽

Cited By ~ 10

Author(s):

Tíscar Rodríguez-Jiménez ◽

Antonio Godoy ◽

José A. Piqueras ◽

Aurora Gavino ◽

Agustín E. Martínez-González ◽

...

Keyword(s):

General Population ◽

Children And Adolescents ◽

Factor Structure ◽

Self Report ◽

Obsessive Compulsive ◽

Compulsive Disorder ◽

Good Consistency ◽

Order Factor ◽

General Populations ◽

Report Measure

Abstract. Evidence-based assessment is necessary as a first step for developing psychopathological studies and assessing the effectiveness of empirically validated treatments. There are several measures of obsessive-compulsive disorder (OCD) and/or symptomatology in children and adolescents, but all of them present some limitations. The Obsessive-Compulsive Inventory-Revised (OCI-R) by Foa and her colleagues has showed to be a good self-report measure to capture the dimensionality of OCD in adults and adolescents. The child version of the OCI (OCI-CV) was validated for clinical children and adolescents in 2010, showing excellent psychometric properties. The objective of this study was to examine the factor structure and invariance of the OCI-CV in the general population. Results showed a six-factor structure with one second-order factor, good consistency values, and invariance across region, age, and sex. The OCI-CV is an excellent inventory for assessing the dimensions of OCD symptomatology in general populations of children and adolescents. The invariance across sex and age warrants its utilization for research purposes.

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Assessing Self-Efficacy in Presentation and Moderation Skills

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000423 ◽

2019 ◽

Vol 35 (4) ◽

pp. 564-576 ◽

Cited By ~ 3

Author(s):

Tobias Ringeisen ◽

Sonja Rohrmann ◽

Anika Bürgermeister ◽

Ana N. Tibubos

Keyword(s):

Construct Validity ◽

Self Efficacy ◽

Self Report ◽

Factor Analyses ◽

Confirmatory Factor Analyses ◽

Confirmatory Factor ◽

Constructed Self ◽

University Course ◽

Correlated Factors ◽

Report Measure

Abstract. By means of two studies, a self-report measure to assess self-efficacy in presentation and moderation skills, the SEPM scales, was validated. In study 1, factorial and construct validity were examined. A sample of 744 university students (41% females; more than 50% between 20 and 25 years) completed newly constructed self-efficacy items. Confirmatory factor analyses (CFAs) substantiated two positively correlated factors, presentation (SEPM-P) and moderation self-efficacy (SEPM-M). Each factor consists of eight items. The correlation patterns between the two SEPM subscales and related constructs such as extraversion, the preference for cooperative learning, and conflict management indicated adequate construct validity. In study 2, criterion validity was determined by means of latent change modeling. One hundred sixty students ( Mage = 24.40, SD = 4.04; 61% females) took part in a university course to foster key competences and completed the SEPM scales at the beginning and the end of the semester. Presentation and moderation self-efficacy increased significantly over time of which the latter was positively associated with the performance in a practical moderation exam. Across both studies, reliability of the scales was high, ranging from McDonald’s ω .80 to .88.

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Preliminary Validation of a Self-Report Measure of Social Intelligence

PsycEXTRA Dataset ◽

10.1037/e413792005-286 ◽

2000 ◽

Author(s):

David H. Silvera ◽

Monica Martinussen ◽

Tove I. Dahl

Keyword(s):

Social Intelligence ◽

Self Report ◽

Preliminary Validation ◽

Report Measure

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Effects of Friends' Substance Use Via Self-Report and Network Analysis

PsycEXTRA Dataset ◽

10.1037/e628612012-481 ◽

2007 ◽

Author(s):

David B. Henry ◽

Kimberly Kobus ◽

Michael E. Schoeny

Keyword(s):

Substance Use ◽

Network Analysis ◽

Self Report

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Measuring Social Anxiety in Late Life: A Psychometric Evaluation of a Newly Constructed Self-Report Measure of Social Anxiety

PsycEXTRA Dataset ◽

10.1037/e655462011-001 ◽

2011 ◽

Author(s):

Christine E. Gould ◽

Caroline Ciliberti ◽

Barry A. Edelstein ◽

Merideth Smith ◽

Lindsay A. Gerolimatos

Keyword(s):

Social Anxiety ◽

Psychometric Evaluation ◽

Late Life ◽

Self Report ◽

Constructed Self ◽

Report Measure

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Supplemental Material for A Self-Report Measure for the ICD-11 Dimensional Trait Model Proposal: The Personality Inventory for ICD-11

Psychological Assessment ◽

10.1037/pas0000459.supp ◽

2017 ◽

Keyword(s):

Personality Inventory ◽

Self Report ◽

Trait Model ◽

Report Measure

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Application of the Non-adoption, Abandonment, Scale-up, Spread and, Sustainability (NASSS) Framework to evaluate the role of technology in the Pathways to Comorbidity Care (PCC) implementation project to improve management of comorbid substance use and mental disorders

10.31234/osf.io/t9rs4 ◽

2020 ◽

Author(s):

MariaGabriela Uribe Guajardo ◽

Andrew James Baillie ◽

Eva Louie ◽

Vicki Giannopoulos ◽

Katie Wood ◽

...

Keyword(s):

Substance Use ◽

Clinical Supervision ◽

Mental Health Problems ◽

Scale Up ◽

Structured Interview ◽

Barriers And Facilitators ◽

Self Report ◽

Evidence Based ◽

Face To Face ◽

Drug And Alcohol

Abstract (250 words)In substance use treatment settings, there is a high prevalence of comorbid mental health problems. Yet an integrated approach for managing comorbidity, implementation of evidence-based intervention in drug and alcohol settings remains problematic. Technology can help the adoption of evidence-based practice and successfully implement effective treatment health care pathways. This study sought to examine aspects of electronic resources utilisation (barriers and facilitators) by clinicians participating in the PCC training. MethodA self-report questionnaire and a semi-structured interview was designed to measure overall satisfaction with the PCC portal and e-resources available throughout the 9-month intervention for participating clinicians. An adapted version of the ‘Non-adoption, Abandonment, Scale-up, Spread and, Sustainability’ (NASSS) framework was used to facilitate discussion in regards to the study findings. ResultsA total of 20 clinicians from drug and alcohol services responded to all the measures. Facilitators of portal use included: i. clinician acceptance of the PCC portal; ii. guidance from the clinical supervisor or clinical champion that encouraged the use of e-resources. Some of the barriers included: i. complexity of the illness (condition), ii. clinicians’ preference (adopter system) for face-to-face resources and training modes (e.g. clinical supervision, clinical champion workshops), and iii. lack of face-to-face training on how to use the portal (technology and organisation).ConclusionBased on the NASSS framework, we were able to identify several barriers and facilitators including such as the complexity of the illness, lack of face-to-face training and clinician preference for training mediums. Recommendations include ongoing consultation of clinicians to assist in the development of tailored e-health resources and offering in-house training on how to operate and effectively utilise these resources.

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