Correction to: Medical specialists' basic psychological needs, and motivation for work and lifelong learning: a two-step factor score path analysis.

An amendment to this paper has been published and can be accessed via the original article.

Medical specialists' basic psychological needs, and motivation for work and lifelong learning: a two-step factor score path analysis.

BACKGROUND: Continuing professional development and lifelong learning are crucial to secure safe and good quality healthcare. Lack of motivation has been found to be among the most important barriers for participation in lifelong learning. This study was conducted to investigate the relationships between medical specialists' work motivation, lifelong learning motivation, autonomy, competence and relatedness satisfaction. METHODS: Self-Determination Theory was used as a theoretical framework for this study. Data were collected through an online survey, that was sent to all (N = 1591) medical specialists in four Dutch hospitals. The survey measured background characteristics, autonomy, competence, and relatedness satisfaction, autonomous and controlled work motivation, and lifelong learning motivation. Two step factor path analysis with the method of Croon was used to analyze the data from 193 cases. RESULTS: Autonomy need satisfaction was positively associated with autonomous work motivation which in turn was positively associated with lifelong learning motivation. Competence need satisfaction and age were negatively associated with controlled work motivation. Competence need satisfaction was also positively related with lifelong learning motivation. No significant nor any hypothesized associations were found for relatedness. CONCLUSIONS: Our findings, in line with Self-determination Theory literature, show that autonomy and competence need satisfaction are the important factors as they were positively associated with medical specialists' motivation for work and for lifelong learning.

Motivational Profiles and Motivation for Lifelong Learning of Medical Specialists.

INTRODUCTION: Medical specialists face the challenge of maintaining their knowledge and skills and continuing professional development, that is, lifelong learning. Motivation may play an integral role in many of the challenges facing the physician workforce today including maintenance of a high performance. The aim of this study was to determine whether medical specialists show different motivational profiles and if these profiles predict differences in motivation for lifelong learning. METHODS: An online questionnaire was sent to every medical specialist working in five hospitals in the Netherlands. The questionnaire included the validated Multidimensional Work Motivation Scale and the Jefferson Scale of Physician Lifelong Learning together with background questions like age, gender, and type of hospital. Respondents were grouped into different motivational profiles by using a two-step clustering approach. RESULTS: Four motivational profiles were identified: (1) HAMC profile (for High Autonomous and Moderate Controlled motivation), (2) MAMC profile (for Moderate Autonomous and Moderate Controlled motivation), (3) MALC profile (for Moderate Autonomous and Low Controlled motivation), and (4) HALC profile (for High Autonomous and Low Controlled motivation). Most of the female specialists that work in an academic hospital and specialists with a surgical specialty were represented in the HALC profile. DISCUSSION: Four motivational profiles were found among medical specialists, differing in gender, experience and type of specialization. The profiles are based on the combination of autonomous motivation (AM) and controlled motivation (CM) in the specialists. The profiles that have a high score on autonomous motivation have a positive association with lifelong learning.

A Longitudinal Approach to Changes in the Motivation of Dutch Pharmacists in the Current Continuing Education System.

Objective. To explore the changes in motivation of Dutch pharmacists for Continuing Education (CE) in the Dutch CE system. Methods. Pharmacists' motivation was measured across three time points with the Academic Motivation Scale, based on the Self-Determination Theory of motivation. The Latent Growth Modelling technique was used to analyze these data. Results. Over a period of 21 months, Controlled Motivation had increased and Relative Autonomous Motivation of Dutch pharmacists had decreased. Traineeship was the only demographic factor with a significant influence on the change in motivation. No subgroups with different trajectories could be identified. Conclusion. Relative Autonomous Motivation of Dutch pharmacists for CE decreases over time. This indicates a loss of Autonomous Motivation ("good" motivation) in favor of Controlled Motivation ("bad" motivation). Further research needs to be conducted to gain a better understanding of the association between pharmacist motivation and the features of the current CE system.

How basic psychological needs and motivation affect vitality and lifelong learning adaptability of pharmacists: a structural equation model.

Insufficient professional development may lead to poor performance of healthcare professionals. Therefore, continuing education (CE) and continuing professional development (CPD) are needed to secure safe and good quality healthcare. The aim of the study was to investigate the hypothesized associations and their directions between pharmacists' basic psychological needs in CE, their academic motivation, well-being, learning outcomes. Self-determination theory was used as a theoretical framework for this study. Data were collected through four questionnaires measuring: academic motivation, basic psychological needs (BPN), vitality and lifelong learning adaptability of pharmacists in the CE/CPD learning context. Structural equation modelling was used to analyze the data. Demographic factors like gender and working environment influenced the observed scores for frustration of BPN and factors like training status and working experience influenced the observed scores for academic motivation. A good model fit could be found only for a part of the hypothesized pathway. Frustration of BPN is positively directly related to the less desirable type of academic motivation, controlled motivation (0.88) and negatively directly related to vitality (- 1.61) and negatively indirectly related to learning outcomes in CE. Fulfillment or frustration of BPN are important predictors for well-being and learning outcomes. Further research should be conducted to discover how we can prevent these needs from being frustrated in order to design a motivating, vitalizing and sustainable CE/CPD system for pharmacists and other healthcare professionals. Basic psychological needs are very important predictors for well-being and learning outcomes. Further research should be conducted to discover how we can prevent these needs from being frustrated in order to design a motivating, vitalizing and sustainable CE/CPD system for pharmacists and other healthcare professionals.

Factors Influencing Participation in Continuing Professional Development: A Focus on Motivation Among Pharmacists.

INTRODUCTION: The interest in continuing education (CE) for pharmacists has increased because of patient safety issues, advancing science and the quick changes in the profession. Therefore, contemporary pharmaceutical care requires an effective and sustainable system for pharmacists to maintain and improve competencies. Although motivation plays an important role both as a facilitator (desire to learn) and a barrier (lack of motivation), there is little investigated about this specific factor. The aim of the study was to explore what factors influence pharmacists' participation in CE with a focus on motivation. METHODS: The theoretical framework was self-determination theory (SDT), which describes autonomous motivation (AM) representing motivation from an internal locus of causality, controlled motivation (CM) originating from an external locus of causality, and relative autonomous motivation (RAM) that measures the AM in an individual after correcting for the CM. The relationship between pharmacists' characteristics, especially their motivation (AM, CM and RAM) in CE, and their participation in CE activities was explored using the AMS-questionnaire and the Dutch online portfolio system. RESULTS: RAM was positively correlated with CE participation of pharmacists and explained 7.8% of the variance. The correlations between the independent variables AM and CM and CE hours were negative (-0.301 and -0.476, respectively). Other factors influencing CE participation were pharmacy school (6.8%), traineeship (10.9%), and work experience (7.8%). Pharmacists participated for 27.0 hours on average in CE during 11 months and preferred face-to-face-learning (85.5%) above e-learning (13.8%). DISCUSSION: Our findings show a positive relationship between RAM and CE participation. The current CE system is probably not conducive to stimulation of AM. Further research is needed to understand the factors that stimulate pharmacists' motivation and participation in CE.

Unraveling Motivational Profiles of Health Care Professionals for Continuing Education: The Example of Pharmacists in the Netherlands.

INTRODUCTION: Continuing education (CE) can support health care professionals in maintaining and developing their knowledge and competencies. Although lack of motivation is one of the most important barriers of pharmacists' participation in CE, we know little about the quality or the quantity of motivation. We used the self-determination theory, which describes autonomous motivation (AM) as originating from within an individual and controlled motivation (CM) as originating from external factors, as a framework for this study. Our aim was to obtain insight into the quality and quantity of pharmacists' motivation for CE. METHODS: The scores of 425 pharmacists on Academic Motivation Scale were subjected to K-means cluster analysis to generate motivational profiles. RESULTS: We unraveled four motivational profiles: (1) good quality with high AM/low CM, (2) high quantity with high AM/high CM, (3) poor quality with low AM/high CM, and (4) low quantity with low AM/low CM. Female pharmacists, pharmacists working in a hospital pharmacy, pharmacists working for more than 10 years, and pharmacists not in training were highly represented in the good-quality profile. Pharmacists working in a community pharmacy, pharmacists working for less than 10 years, and pharmacists in training were highly represented in the high-quantity profile. Male pharmacists were more or less equally distributed over the four profiles. The highest percentage of pharmacy owners was shown in the low-quantity profile, and the highest percentage of the nonowners was shown in the good-quality profile. DISCUSSION: Pharmacists exhibit different motivational profiles, which are associated with their background characteristics, such as gender, ownership of business, practice setting, and current training. Motivational profiles could be used to tailor CE courses for pharmacists.