Two studies explored whether perfectionism moderates the impact of implementation intentions on goal progress. Study 1 used an implementation intention manipulation to examine the effects of these plans in interaction with perfectionism on the progress of New Year's resolutions. Study 2 added a repeated implementation intention condition and monitored affect and monthly goal progress. The results of both studies revealed a significant backfire effect of the implementation intentions on goal progress for participants high on a particular dimension of perfectionism (socially prescribed perfectionism). These perfectionists reported doing significantly worse at reaching their personal goals when they were asked to formulate implementation intentions than when they completed a control exercise. There also was evidence that implementation planning aroused negative affect for socially prescribed perfectionists. These results are the first to suggest that implementation planning may be contra-indicated for individuals with self-critical tendencies.
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http://dx.doi.org/10.1177/0146167204272311 | DOI Listing |
PLoS One
January 2025
US Department of Veterans Affairs, Palo Alto Healthcare System, National Center for Collaborative Healthcare Innovation, Palo Alto, California, United States of America.
Background: The intrauterine device (IUD) is a highly effective form of long-acting reversible contraception, widely recognized for its convenience and efficacy. Despite its benefits, many patients report moderate to severe pain during and after their IUD insertion procedure. Furthermore, reports suggest significant variability in pain control medications, including no adequate pain medication.
View Article and Find Full Text PDFJ Healthc Manag
January 2025
Division of Hospital Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, and Rocky Mountain Regional VA Medical Center, Aurora, Colorado.
Goal: To evaluate long-term outcomes of Better Together Physician Coaching, a digital life-coaching program to improve resident well-being.
Methods: We performed a secondary analysis of survey data from the pilot program implementation between January 2021 and June 2022. An intention-to-treat analysis was completed for baseline versus post-6 months and baseline versus post-12 months for all outcome measures.
Implement Res Pract
January 2025
Institute for Health System Solutions and Virtual Care, Women's College Research and Innovation Institute, Women's College Hospital, Toronto, ON, Canada.
Background: In Ontario, Canada, province-wide initiatives supporting safer opioid prescribing in primary care include voluntary audit and feedback reports and academic detailing. In this process evaluation, we aimed to determine the fidelity of delivery and receipt of the interventions, the observed change strategies used by physicians, potential mechanisms of action, and how complementary the initiatives can be to each other.
Method: Semi-structured interviews were conducted with academic detailers and with physicians who received both interventions.
Sci Rep
January 2025
Department of Psychology, University of Konstanz, Konstanz, Germany.
Two approaches to movement selection, if-then rules versus prospective planning, were investigated. Studies have shown that the rule-based approach leads to more efficient movement selection than the plan-based approach, though the resulting movements are the same. This dual-tasking study investigates two hypotheses explaining this discrepancy: The efficiency hypothesis states that the rule-based approach to movement selection is more efficient, and its advantage over the plan-based approach increases under any kind of enhanced task demands.
View Article and Find Full Text PDFJ Chromatogr A
December 2024
Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi, India. Electronic address:
Recent advancements in technology, such as the emergence of artificial intelligence (AI) and machine learning (ML), have facilitated the progression of the biopharmaceutical industry toward the implementation of Industry 4.0. As per the guidelines set by the USFDA, process validation for biopharmaceutical production consists of three stages: process design, process qualification, and continuous process verification (CPV).
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