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	<title>self-efficacy in healthcare workers &#8211; Science</title>
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	<title>self-efficacy in healthcare workers &#8211; Science</title>
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		<title>Theory-based standard precautions training improves care worker practices in long-term care</title>
		<link>https://scienmag.com/theory-based-standard-precautions-training-improves-care-worker-practices-in-long-term-care/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Sun, 06 Sep 2026 18:50:35 +0000</pubDate>
				<category><![CDATA[Science Education]]></category>
		<category><![CDATA[adult education in infection control]]></category>
		<category><![CDATA[care worker infection prevention practices]]></category>
		<category><![CDATA[educational interventions for nursing home staff]]></category>
		<category><![CDATA[flipped learning for care workers]]></category>
		<category><![CDATA[flipped learning for infection control]]></category>
		<category><![CDATA[hand hygiene and PPE training]]></category>
		<category><![CDATA[healthcare worker self-efficacy in infection prevention]]></category>
		<category><![CDATA[healthcare-associated infection prevention]]></category>
		<category><![CDATA[impact of theory-based education on hygiene practices]]></category>
		<category><![CDATA[improving care worker compliance]]></category>
		<category><![CDATA[improving healthcare-associated infection control]]></category>
		<category><![CDATA[infection control practices in nursing homes]]></category>
		<category><![CDATA[infection control training in eldercare]]></category>
		<category><![CDATA[infection prevention strategies for vulnerable populations]]></category>
		<category><![CDATA[infection prevention training]]></category>
		<category><![CDATA[long-term care facility infection protocols]]></category>
		<category><![CDATA[long-term care facility infection risks]]></category>
		<category><![CDATA[reducing infection spread in nursing homes]]></category>
		<category><![CDATA[self-efficacy in healthcare workers]]></category>
		<category><![CDATA[social cognitive theory in healthcare education]]></category>
		<category><![CDATA[standard precautions compliance in long-term care]]></category>
		<category><![CDATA[standard precautions in long-term care]]></category>
		<guid isPermaLink="false">https://scienmag.com/theory-based-standard-precautions-training-improves-care-worker-practices-in-long-term-care/</guid>

					<description><![CDATA[Infection prevention in nursing homes may have just received a meaningful educational boost. A new quasi-experimental study from South Korea, published in BMC Medical Education, reports that a carefully structured education program grounded in social cognitive theory and delivered through flipped learning significantly improved the attitudes, self-efficacy, and self-reported compliance of care workers with standard [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Infection prevention in nursing homes may have just received a meaningful educational boost. A new quasi-experimental study from South Korea, published in BMC Medical Education, reports that a carefully structured education program grounded in social cognitive theory and delivered through flipped learning significantly improved the attitudes, self-efficacy, and self-reported compliance of care workers with standard precautions—the fundamental set of practices designed to halt the spread of healthcare-associated infections. The findings arrive at a moment when long-term care facilities worldwide remain on the front lines of infectious disease threats, from seasonal influenza outbreaks to drug-resistant organisms, and where the workforce responsible for day-to-day hygiene often receives little formal infection control training.</p>
<p>Standard precautions, which include hand hygiene, use of personal protective equipment, safe handling of potentially contaminated equipment, respiratory etiquette, and proper waste and linen management, are universally recognized as the first line of defense against healthcare-associated infections. In hospitals, infection control teams, rigorous protocols, and continuing education reinforce these behaviors. Long-term care facilities are a different world. Their residents live communally for extended periods, often with frail immune systems, chronic wounds, indwelling devices, and cognitive impairment, creating conditions in which pathogens can spread rapidly if basic precautions falter. Yet the workforce in these settings typically consists of care workers—often with limited formal medical training—who perform intimate hands-on care around the clock. The study&#8217;s authors, Jung Ae Park and Sun Young Jeong of the College of Nursing at Konyang University, argue that this gap demands an education program tailored specifically to how care workers actually learn, rather than recycled hospital-oriented training.</p>
<p>The research team built their intervention on two complementary frameworks. The first was the ADDIE model, a systematic instructional design process comprising analysis, design, development, implementation, and evaluation. In the analysis phase, the researchers examined the learning needs of care workers; design and development phases shaped content and materials; implementation delivered the program; and evaluation measured its effects. The second framework was Bandura&#8217;s social cognitive theory, a widely influential account of learning that emphasizes the reciprocal interaction between personal factors, behavior, and environment. Central to this theory is the concept of self-efficacy—an individual&#8217;s belief in their own capability to execute behaviors successfully. According to social cognitive theory, knowledge alone rarely changes behavior; learners must also develop confidence, observe models demonstrating the desired behavior, receive reinforcement, and experience mastery. The program therefore went beyond lectures, incorporating elements designed to build the psychological drivers of safe practice.</p>
<p>Delivery followed a flipped learning approach organized into three phases: preclass, inclass, and postclass. In the preclass phase, participants studied foundational materials on their own, arriving primed for active learning. Inclass sessions were then devoted to interactive, application-focused activities rather than passive listening. Postclass components reinforced and consolidated what had been learned. The full program comprised four weekly sessions of sixty minutes each—a deliberately modest time commitment designed to fit the demanding schedules of long-term care staff. This structure reflects a growing trend in health professions education, in which contact time is reserved for practice, feedback, and discussion while didactic content is shifted to self-paced study.</p>
<p>The evaluation employed a nonequivalent control group, nonsynchronized quasi-experimental design. Quasi-experimental designs are common in real-world settings where random assignment of individuals is impractical or ethically awkward; here, the researchers worked with 46 care workers drawn from two long-term care facilities in South Korea, each housing at least 30 residents. Data collection ran from June 1 to August 31, 2023. One facility&#8217;s staff received the intervention while the other served as a control group receiving no such program. Because participants were not randomized, the team used statistical methods appropriate for non-equivalent groups: analysis of covariance to compare the groups after the intervention while adjusting for baseline differences, repeated measures analysis of variance to track within-group changes over time, the Friedman test for non-parametric within-group comparisons, and Bonferroni correction to guard against false-positive findings from multiple testing.</p>
<p>The results were strikingly consistent across the study&#8217;s main outcome measures. After the intervention, the education group significantly outperformed the control group in three domains: attitudes toward standard precautions (F = 11.42, p = .002, partial η² = 0.21), self-efficacy for standard precautions (F = 5.56, p = .023, partial η² = 0.16), and self-reported compliance with standard precautions (F = 8.02, p = .007, partial η² = 0.16). In behavioral and social science research, partial eta squared values in this range represent medium to large effects, suggesting changes of practical—not merely statistical—significance. Within the intervention group itself, improvements over time were observed in knowledge (χ² = 11.85, p = .003, W = 0.26), attitudes (F = 4.72, p = .014, partial η² = 0.18), self-efficacy (F = 9.14, p &lt; .001, partial η² = 0.29), and self-reported compliance (F = 20.00, p &lt; .001, partial η² = 0.48)—the last a particularly large effect indicating that care workers reported substantially better adherence to precautions after completing the program.</p>
<p>One measure, however, stubbornly resisted change: social support. The intervention group showed no significant improvement in perceived social support compared with controls. The authors note this candidly in their conclusions, and the finding is instructive. Social cognitive theory posits that environmental factors, including the encouragement of colleagues and supervisors, shape behavior alongside personal beliefs. A four-week education program aimed at individuals may simply be too brief to shift the social fabric of a workplace. If facility culture, staffing pressures, or management expectations do not reinforce safe practices, individual gains in confidence and attitude may erode over time. This suggests that future programs might pair worker-level education with organization-level interventions, engaging administrators and fostering peer networks that sustain infection-conscious norms.</p>
<p>The study&#8217;s authors are careful to frame their findings as preliminary. Several limitations temper the enthusiasm. The design was non-randomized, meaning that unmeasured differences between the two facilities could have influenced results. The outcomes were self-reported, and compliance in particular is vulnerable to social desirability bias—workers may overstate their adherence to hand hygiene and protective equipment use, a well-documented phenomenon in infection control research. Crucially, the study did not measure actual infection rates among residents, so it remains unknown whether the improved attitudes and compliance translate into fewer healthcare-associated infections. The researchers explicitly call for confirmation in future randomized controlled trials that incorporate objective measures, ideally including infection surveillance data and directly observed practice.</p>
<p>Even with those caveats, the work addresses a genuine and growing global need. Populations are aging rapidly across high-income and middle-income countries alike, and long-term care facilities are expanding to meet demand. These settings have proven acutely vulnerable during infectious disease crises—the COVID-19 pandemic devastated nursing homes in many countries, accounting for a disproportionate share of deaths and exposing chronic weaknesses in infection prevention training and infrastructure. Care workers, who bathe, feed, reposition, and comfort residents, are the hinge on which infection control in these facilities turns. Yet studies have repeatedly found that they receive far less infection control education than nurses or physicians, and that educational materials designed for clinical professionals poorly match their literacy levels, work rhythms, and learning preferences. An approach that treats care workers as capable adult learners—building their confidence, engaging them actively, and respecting their time—may be exactly what the field needs.</p>
<p>The study also contributes to a broader conversation about how educational theory should inform practical training. The ADDIE model ensures that content is not assembled ad hoc but systematically derived from an analysis of learners&#8217; needs, refined through expert validation—here reflected in content validity index measures used to assess the program materials—and evaluated against defined outcomes. Bandura&#8217;s social cognitive theory supplies the mechanism: by boosting self-efficacy and shaping attitudes alongside knowledge, the program targeted the psychological levers that most strongly predict sustained behavior change. Flipped learning, meanwhile, offers a scalable format. Once developed, preclass materials can be reused and refined, and inclass sessions can be led by facility educators or infection control nurses, making the model adaptable to resource-constrained settings. The combination proved feasible in a real workplace, with high engagement implied by the completion of all four sessions.</p>
<p>Looking ahead, the researchers hope their work will inform the design of standardized, theory-based infection prevention curricula for long-term care workforces, tested rigorously across multiple facilities and countries. If larger randomized trials confirm these preliminary results and demonstrate reductions in actual infections, the implications could extend well beyond South Korea, offering an evidence-based template for protecting one of the most vulnerable populations in the healthcare system. For now, the study stands as a promising proof of concept: that with the right educational architecture, the people who provide the most intimate care to society&#8217;s frail elderly can be equipped with the knowledge, confidence, and habits to keep them safer.</p>
<div class="scienmag-article-metadata"><strong>Subject of Research:</strong> A social cognitive theory-based, flipped learning education program to improve care workers&#8217; adherence to standard precautions in long-term care facilities</p>
<p><strong>Article Title:</strong> Development and evaluation of a social cognitive theory-based standard precautions education program for care workers in long-term care facilities: a quasi-experimental study</p>
<p><strong>Article References:</strong> Park, J. A., &amp; Jeong, S. Y. (2026). Development and evaluation of a social cognitive theory-based standard precautions education program for care workers in long-term care facilities: a quasi-experimental study. <em>BMC Medical Education</em>. <a href="https://doi.org/10.1186/s12909-026-10306-7" target="_blank" rel="noopener noreferrer">https://doi.org/10.1186/s12909-026-10306-7</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s12909-026-10306-7" target="_blank" rel="noopener noreferrer">10.1186/s12909-026-10306-7</a></p>
<p><strong>Keywords:</strong> Standard precautions, Long-term care facilities, Care workers, Infection prevention and control, Social cognitive theory, Flipped learning, ADDIE model, Self-efficacy, Quasi-experimental study, Medical education, Healthcare-associated infections, Nursing homes</p>
</div>
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		<post-id xmlns="com-wordpress:feed-additions:1">188900</post-id>	</item>
		<item>
		<title>Stress, Resilience, and Self-Efficacy in Medical Staff</title>
		<link>https://scienmag.com/stress-resilience-and-self-efficacy-in-medical-staff/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Wed, 22 Oct 2025 11:55:35 +0000</pubDate>
				<category><![CDATA[Psychology & Psychiatry]]></category>
		<category><![CDATA[adaptive strategies in high-stress environments]]></category>
		<category><![CDATA[Bandura's social cognitive theory in practice]]></category>
		<category><![CDATA[coping strategies for medical staff]]></category>
		<category><![CDATA[emotional strain in healthcare settings]]></category>
		<category><![CDATA[healthcare worker burnout and resilience]]></category>
		<category><![CDATA[impact of stress on healthcare performance]]></category>
		<category><![CDATA[psychological resources for medical personnel]]></category>
		<category><![CDATA[psychological well-being in emergency medicine]]></category>
		<category><![CDATA[public health emergency response]]></category>
		<category><![CDATA[resilience in medical professionals]]></category>
		<category><![CDATA[self-efficacy in healthcare workers]]></category>
		<category><![CDATA[stress management in healthcare]]></category>
		<guid isPermaLink="false">https://scienmag.com/stress-resilience-and-self-efficacy-in-medical-staff/</guid>

					<description><![CDATA[In the high-stakes environment of public health emergencies, the psychological well-being of medical personnel has emerged as a critical focus in contemporary research. A recent study published in BMC Psychology has shed light on the complex interplay between perceived stress, resilience, and self-efficacy among healthcare workers combating crises such as pandemics, natural disasters, and other [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In the high-stakes environment of public health emergencies, the psychological well-being of medical personnel has emerged as a critical focus in contemporary research. A recent study published in BMC Psychology has shed light on the complex interplay between perceived stress, resilience, and self-efficacy among healthcare workers combating crises such as pandemics, natural disasters, and other large-scale health threats. This pioneering work uncovers how beliefs in one’s own capabilities—termed self-efficacy—mediate the relationship between the stress medical staff perceive and their capacity to recover and adapt, known as resilience.</p>
<p>Medical practitioners are routinely subjected to extraordinary pressures in emergent health situations, facing long hours, unpredictable scenarios, and significant emotional strain. The central inquiry explored by the researchers was how perceived stress, which encompasses an individual’s subjective assessment of stress exposure and its impact, correlates with resilience, the psychological robustness enabling individuals to bounce back from adversity. Traditional understanding posits that high stress impairs resilience; however, this study introduces a nuanced perspective by focusing on self-efficacy as a critical psychological resource.</p>
<p>Self-efficacy, a construct rooted in Bandura’s social cognitive theory, represents an individual’s confidence in their ability to execute behaviors necessary to achieve specific performance attainments. It influences the way people think, feel, and motivate themselves under pressure. By examining medical staff during public health crises, the authors provide evidence that self-efficacy serves as a mediating factor that can buffer the deleterious effects of perceived stress on resilience. Essentially, those with higher self-efficacy demonstrate stronger resilience despite experiencing elevated stress levels.</p>
<p>Methodologically, the study utilized robust psychometric assessments administered to a significant cohort of frontline healthcare workers during active public health emergencies. These instruments quantified perceived stress through well-validated scales, measured resilience via standardized psychological inventories, and evaluated self-efficacy using domain-specific questionnaires tailored to healthcare settings. The large sample size and real-time data collection during emergency conditions lend credibility and practical relevance to the findings.</p>
<p>One of the groundbreaking outcomes of this research is the delineation of self-efficacy’s mediating pathway. Statistical analyses revealed that perceived stress negatively impacts self-efficacy, which in turn affects resilience. This mediation model unpacks the underlying mechanism by which the psychological burden of frontline duties translates into resilience outcomes. Importantly, interventions enhancing self-efficacy could disrupt this chain, mitigating stress impact and fostering psychological recovery.</p>
<p>The implications are profound for healthcare organizations and policymakers. Training programs emphasizing skills mastery, problem-solving, and coping strategies could bolster self-efficacy among medical personnel. Enhancing such psychological resources may not only improve mental health outcomes but also indirectly improve patient care quality through sustained worker performance and reduced burnout. The study advocates integrating psychological resilience-building curricula into emergency preparedness protocols.</p>
<p>Beyond individual-level interventions, the research underlines the need for systemic changes in healthcare infrastructure during crises. Organizational support, clear communication channels, and resource availability directly influence staff perceptions of control and efficacy. Cultivating an environment where healthcare workers feel competent and supported is as vital as psychological training because it collectively strengthens resilience across the workforce.</p>
<p>Furthermore, this investigation opens up new avenues to explore how digital platforms and technology-assisted interventions could be harnessed to enhance self-efficacy remotely. Virtual reality training, gamified simulations, and AI-driven personalized coaching could provide scalable solutions to boost confidence and skill mastery under stressful conditions. This technological integration stands poised to transform mental health support in public health emergencies.</p>
<p>The cross-sectional data also suggest a bidirectional relationship where resilience might foster higher self-efficacy over time, creating a virtuous cycle of psychological fortitude. Longitudinal studies are anticipated to validate these dynamics, potentially guiding continuous support systems tailored to changing stress and efficacy levels throughout and after emergency shifts.</p>
<p>Crucially, the study highlights that perceived stress is inherently subjective and modifiable. Differing cognitive appraisals of the same external stressors imply that psychological reframing could reduce stress perception. Cognitive-behavioral approaches aimed at altering maladaptive thought patterns and reinforcing self-efficacy beliefs could serve as effective adjuncts in resilience-enhancement strategies.</p>
<p>The global relevance of these insights cannot be overstated given the recurrent nature of public health emergencies worldwide. Whether confronting infectious disease outbreaks, mass casualty events, or environmental catastrophes, healthcare providers face similar psychosocial challenges. Implementing evidence-based psychological frameworks such as those identified in this study will be essential to maintain an effective emergency response workforce.</p>
<p>Finally, the publication’s timing is particularly significant given the COVID-19 pandemic’s unprecedented impact on healthcare systems globally. The frontline experiences of medical staff during such crises have underscored vulnerabilities but also resilience capacities that the current research elucidates at a psychological level. As the world prepares for future threats, understanding the mediating role of self-efficacy offers a promising path to safeguarding the mental health of those who safeguard public health.</p>
<p>In conclusion, this innovative study not only refines the theoretical understanding of stress and resilience interplay but also provides actionable insights for enhancing psychological endurance in medical professionals. By centering self-efficacy as a modifiable mediator, it paves the way for targeted interventions that could revolutionize mental health support during times when it is most desperately needed. The findings demand attention from psychologists, healthcare leaders, and emergency planners alike, highlighting a critical dimension of preparedness that extends beyond physical resources and into the realm of human psychological capital.</p>
<hr />
<p><strong>Subject of Research</strong>: Psychological resilience, perceived stress, and self-efficacy among medical staff during public health emergencies.</p>
<p><strong>Article Title</strong>: The association between perceived stress and resilience among medical staff during public health emergencies: mediating effect of self-efficacy.</p>
<p><strong>Article References</strong>:<br />
Chen, H., Cao, Z., Zhang, X. <em>et al.</em> The association between perceived stress and resilience among medical staff during public health emergencies: mediating effect of self-efficacy. <em>BMC Psychol</em> <strong>13</strong>, 1167 (2025). <a href="https://doi.org/10.1186/s40359-025-03496-0">https://doi.org/10.1186/s40359-025-03496-0</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
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