Browsing by Subject "self-report"

Now showing 1 - 3 of 3
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    A Quality Improvement Network for Interdisciplinary Training in Developmental Disabilities
    (American Academy of Pediatrics, 2022-11-09) Smith, Jennifer D.; Nidey, Nichole; Chödrön, Gail S.; Czyzia, Jackie; Donahue, Michelle L.; Ford, Kristie; James, Cristina; Klimova, Oksana; Macias, Michelle M.; Rabidoux, Paula; Whitaker, Toni M.; Brosco, Jeffrey P.; Pediatrics, School of Medicine
    Children with developmental disabilities (DD), such as autism spectrum disorder (ASD), have complex health and developmental needs that require multiple service systems and interactions with various professionals across disciplines. The growing number of children and youth identified with ASD or DD, including anxiety and depression, has increased demand for services and need for highly qualified pediatric providers. Federally funded Leadership Education in Neurodevelopmental and related Disabilities (LEND) programs across the United States address today's health care shortages by providing comprehensive, interdisciplinary training to providers from multiple pediatric disciplines who screen, diagnose, and treat those with ASD and DD. Each LEND program develops training methods independently, including quality improvement efforts. In 2014, LEND programs began designing and validating common measures to evaluate LEND training. The LEND Program Quality Improvement (LPQI) Network was established in 2016. Participating LEND programs in the LPQI Network administer validated trainee self-report and faculty-observation measures that address skills in key competency domains of Interdisciplinary or Interprofessional Team Building, Family-Professional Partnerships, and Policy. This study reports data from faculty and trainees from 22 LEND programs that participated in the LPQI Network across the 5-year data collection period. The main outcome of this study was the change in trainee knowledge, skills, and attitudes scores in key competency domains across programs. Overall, trainees made significant knowledge, skills, and attitude gains based on both self-report and faculty observation scores for all 3 competency domains. Data demonstrate the value of LEND programs and feasibility of a national quality improvement approach to evaluate interdisciplinary training and systems-level improvement.
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    Civic-Minded Graduate: A North Star (Assessment Tools)
    (9/13/2011) Steinberg, Kathryn S.; Hatcher, Julie A.; Bringle, Robert G.
    Because of increased interest in higher education regarding the civic learning outcomes for college students and graduates, identifying and measuring civic learning outcomes is important to evaluating the efficacy of civic engagement programs and teaching strategies (e.g., service- learning). A conceptual framework for the Civic-Minded Graduate (CMG) construct is presented as well as three measurement procedures (i.e., CMG Scale, CMG Narrative Prompt and Rubric, CMG Interview Protocol and Rubric) that evaluate the construct. Results from three studies provide evidence of the psychometric properties of each measurement procedure and converging evidence to support the meaningfulness of the CMG construct. Implications of adopting the CMG as a “north star” for future research and for practice are presented.
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    Self‐report pain and symptom measures for primary dysmenorrhoea: A critical review
    (Wiley, 2015-03) Chen, C. X.; Kwekkeboom, K. L.; Ward, S. E.; School of Nursing
    Primary dysmenorrhoea (PD) is highly prevalent among women of reproductive age and it can have significant short‐ and long‐term consequences for both women and society as a whole. Validated symptom measures are fundamental for researchers to understand women's symptom experience of PD and to test symptom interventions. The objective of this paper was to critically review the content and psychometric properties of self‐report tools to measure symptoms of PD. Databases including PubMed, PsychoINFO, Cumulative Index of Nursing and Allied Health Literature, and Health and Psychosocial Instruments were searched for self‐report symptom measures that had been used among women with either PD or perimenstrual symptoms. A total of 15 measures met inclusion criteria and were included in the final analysis. The measures were categorized into generic pain measures, dysmenorrhoea‐specific measures, and tools designed to measure perimenstrual symptoms. These measures had varying degrees of comprehensiveness of symptoms being measured, relevance to PD, multidimensionality and psychometric soundness. No single measure was found to be optimal for use, but some dysmenorrhoea‐specific measures could be recommended if revised and further tested. Key issues in symptom measurement for PD are discussed. Future research needs to strengthen dysmenorrhoea‐specific symptom measures by including a comprehensive list of symptoms based on the pathogenesis of PD, exploring relevant symptom dimensions beyond symptom severity (e.g., frequency, duration, symptom distress), and testing psychometric properties of the adapted tools using sound methodology and diverse samples.