Browsing by Subject "attitude"

Now showing 1 - 2 of 2
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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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    Factors Influencing Consumer's Intention to Buy Counterfeit Products
    (2015) Basu, Mathumita Mukherjee; Basu, Sumit; Lee, JungKook
    There are several factors which influence consumers to buy counterfeit products. Today, any product in any nation is vulnerable to this malady. Counterfeits are packaged and labeled to resemble the original brand-name and generic products. Therefore, fake products often illusion the consumers to thinking that they are buying authentic goods. Counterfeits are a real and looming threat to all manufacturers. Counterfeit policing measures are yet to mature and become omnipresent. With this background information, it is noteworthy to observe how the Theory of Reasoned Action (TRA) could help identify the factors responsible for influencing behavioral intentions of a consumer towards purchasing counterfeit products. The present study reviews existing literature on counterfeit products, identifies potential improvements, and provides further insight into consumer motives behind the purchase of counterfeits. Six primary factors that influence counterfeit purchase have been identified and the TRA has been applied to investigate the impact of these factors on consumer behavioral patterns. The factors are (1) social motivation, (2) personal gratification, (3) perception, (4) value, (5) brand loyalty, and (6) ethics. The ‘influence of society’ and ‘value for money’ have been identified as the top two reasons that motivate consumers to buy fake products based on a survey conducted. A mathematical ‘covariate interactions’ analysis as well as a Chi-square regression analysis corroborated the same finding- identifying the top two factors that most strongly influence a customer’s ‘Intent to purchase’. A logistic regression analysis was run on the survey results that yielded a mathematical expression which can predict how likely a customer is to buy a counterfeit [p(Y)]. The proposed correlation matches the obtained survey data very well.