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	<title>web-based &#8211; Science</title>
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	<title>web-based &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Web registry links transfusion decisions to long-term patient outcomes</title>
		<link>https://scienmag.com/web-registry-links-transfusion-decisions-to-long-term-patient-outcomes/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Wed, 21 Oct 2026 02:18:46 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[assessing guideline adherence in blood transfusions]]></category>
		<category><![CDATA[blood safety]]></category>
		<category><![CDATA[blood transfusion]]></category>
		<category><![CDATA[blood transfusion decision points]]></category>
		<category><![CDATA[capturing reasons for transfusion decisions]]></category>
		<category><![CDATA[cardiac surgery]]></category>
		<category><![CDATA[challenges in long-term follow-up for transfusion patients]]></category>
		<category><![CDATA[data completeness in long-term clinical registries]]></category>
		<category><![CDATA[digital follow-up]]></category>
		<category><![CDATA[feasibility of digital health registries in hospitals]]></category>
		<category><![CDATA[health data]]></category>
		<category><![CDATA[integration of transfusion data into routine hospital care]]></category>
		<category><![CDATA[linking transfusion practices to patient recovery]]></category>
		<category><![CDATA[long-term outcomes]]></category>
		<category><![CDATA[long-term patient health outcomes tracking]]></category>
		<category><![CDATA[patient registry]]></category>
		<category><![CDATA[patient-reported health outcomes after transfusion]]></category>
		<category><![CDATA[patient-reported measures]]></category>
		<category><![CDATA[privacy-by-design]]></category>
		<category><![CDATA[prospective blood transfusion data collection]]></category>
		<category><![CDATA[registry]]></category>
		<category><![CDATA[SNOMED CT]]></category>
		<category><![CDATA[web-based]]></category>
		<category><![CDATA[web-based clinical registry for transfusions]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=326792</guid>

					<description><![CDATA[A 16-month pilot demonstrated that a privacy-separated web registry can capture transfusion decisions at the point of care and link them to patient-reported follow-up, although low response rates limited longitudinal findings.]]></description>
										<content:encoded><![CDATA[<p>A prospective, web-based registry can record blood-transfusion decisions alongside the clinical circumstances surrounding them and then connect those records with patients’ long-term, self-reported health, according to a 16-month feasibility study conducted at Goethe University Hospital Frankfurt, Germany. Researchers enrolled 408 patients and documented 1,298 administrations of blood products and related therapies, demonstrating that the open-source platform could be integrated into routine care at a tertiary hospital. The pilot also exposed a major challenge for long-term research: only 12.5% of eligible patients completed the three-month follow-up and 15.2% completed the one-year questionnaire, leaving the framework operational but its longitudinal data incomplete.</p>
<p>Blood transfusion is a routine but complex medical intervention whose value depends on a patient’s condition, the product administered, its dose, the indication and the surrounding clinical context. Existing large databases connect transfusion exposures with health records and mortality data, but often lack the precise reasons for individual decisions and do not systematically capture how patients function months or years afterward. This limits efforts to assess guideline adherence, compare practice across institutions and determine whether variations in treatment are associated with meaningful differences in recovery. The new registry was designed to close that gap by collecting standardized clinical information at the point of care and using automated questionnaires to build longitudinal patient profiles over a planned period of up to 30 years.</p>
<p>The framework is called the Registry Study for Research of Blood Donor and Recipient Long-Term Outcomes and is built on OSSE, an open-source registry platform. It uses three electronic case-report forms covering basic demographics, transfusions and related blood therapies, and patient-reported outcome measures. Diagnoses and procedures are recorded as SNOMED CT concepts, allowing clinical events to be represented in a standardized, reusable format. Medical staff can enter records through a graphical interface from any internet-connected device, while participating hospitals retain equal roles in the project’s scientific governance. A centralized structure makes network-scale analysis possible in principle, although that capability was not evaluated in this single-center pilot.</p>
<p>Privacy is built into the architecture rather than added after collection. The OSSE system physically separates identifying information, stored in a distinct data environment, from medical information, while double pseudonymization via the Mainzelliste supports secure data exchange. Participants consent to the registry and may withdraw at any time. The approach follows data-minimization principles by limiting identifying data to fields such as name, year of birth, city of residence and contact email. The follow-up system sends a single-use personalized link by email, allowing patients to answer from any device without creating a conventional password or complex authorization process. The pilot operated in German and English, and the platform has since expanded to 16 European and Asian languages.</p>
<p>Clinical forms capture weight, height, documented sex, primary and secondary diagnoses, physical capacity, frailty, blood-group antigens, laboratory measurements and detailed information about each treatment. The registry records the product, date, dose, specific indication, relevant laboratory values before and after administration, and details of the clinical intervention. Physical capacity is graded in five activity-anchored metabolic-equivalent categories based on the Duke Activity Status Index, while frailty is assessed with the Clinical Frailty Scale. The electronic form also links hemorrhage risk to the anesthesiologic assessment and records discharge information. In-hospital mortality was omitted from the original pilot form but has since been added to the current iteration.</p>
<p>Long-term questionnaires ask patients about new diagnoses, anemia and its treatment, subsequent blood-product exposure, related adverse events, pregnancies and births, and changes in physical capacity and frailty. Every question permits an “I do not know” or “I do not want to answer” option, and the interface uses layered filters to make each questionnaire take approximately five minutes. Follow-up is anchored to the first administration, with a first questionnaire after three months and annual assessments thereafter. By the analysis cutoff of 13 August 2026, 43 of 345 eligible patients had responded at three months and 47 of 310 at one year. Paired baseline and follow-up scores were available for small subsets: 20 patients for frailty at three months, 21 for physical capacity at three months, and 20 and 14, respectively, at one year.</p>
<p>The enrolled population was concentrated in cardiac surgery, which limits the pilot’s generalizability. Most participants were scheduled for surgery, and 89.9% of those with a documented risk category were classified as having high expected hemorrhage risk, defined as at least 500 ml. Among 343 patients with documented sex, 245 were male and 98 female. Red-cell concentrates were the most frequently administered therapy, with 363 administrations, followed by 280 albumin administrations and 271 prothrombin complex concentrate administrations; no oral iron administrations were recorded. The registry recorded 319 distinct SNOMED CT concepts, and common entries included coronary arteriosclerosis, hypertensive disorder, aortic valve replacement and other cardiac procedures. These results show the breadth of information the platform can capture, but they describe one center’s case mix rather than transfusion practice in general.</p>
<p>Detailed red-cell data illustrate how the system connects decisions, biology and treatment effects. Among 363 administrations, 360 had a documented indication. The most common was a hemoglobin concentration of 7–8 g/dl accompanied by signs of anemic hypoxia or cardiovascular risk factors, recorded in 250 cases, or 69.4% of administrations with a documented indication. Pre-transfusion hemoglobin averaged 7.72 ± 0.89 g/dl in males and 7.64 ± 0.88 g/dl in females. Among 329 paired laboratory measurements, hemoglobin increased from 7.69 ± 0.89 g/dl before transfusion to 8.80 ± 0.99 g/dl afterward, a mean rise of 1.11 ± 0.99 g/dl. This before-and-after measurement documents the immediate physiological response, but the study did not perform a patient-level assessment of whether each transfusion complied with guidelines.</p>
<p>Sex-disaggregated analyses identified differences that the registry is intended to help investigate. A higher proportion of female patients received red cells, whereas male patients more frequently received platelet concentrate, prothrombin complex concentrate and fibrinogen. Some differences coincided with the surgical procedures recorded in the cohort: aortic valve replacement and bypass grafting were more frequent among men, while mitral valve procedures were more frequent among women. Once dosage was adjusted for body size, the investigators found no clear sex difference. The patterns therefore cannot be interpreted as evidence of inappropriate treatment, and the authors noted that comorbidity, surgical type and biometric factors require examination in larger multicenter cohorts.</p>
<p>Several capabilities remain aspirational. The framework is designed to support risk-adjusted institutional benchmarking, patient-level profiles, network analyses, donor outcomes and real-time dashboards, but the pilot evaluated descriptive institutional analyses only. Structured exchange through HL7 FHIR is also planned and not yet implemented, while crossmatch-to-transfusion data needed to quantify waste from unused blood-product reservations are not recorded. The low follow-up rates create possible non-response bias; although respondents resembled the wider cohort in age and sex, other differences cannot be excluded. Consequently, the paired functional assessments demonstrate that a suitable data structure can be created, not that representative recovery trajectories have already been measured. The registry continued expanding after the pilot, reaching 891 patients and 2,882 documented administrations by 11 September 2026, with a second German center being established and participation open to additional institutions.</p>
<p><strong>Subject of Research:</strong> Feasibility of a prospective registry linking transfusion practice with long-term patient-reported outcomes.</p>
<p><strong>Article Title:</strong> A Web-Based Registry Framework Linking Transfusion Practice to Long-Term Patient Outcomes: Design and Single-Center Feasibility Study</p>
<p><strong>Article References:</strong> Nürenberg-Goloub, E., Friedrichson, B., Nordine, M., Storf, H., Zacharowski, K., &amp; Kloka, J. A. (2026). A Web-Based Registry Framework Linking Transfusion Practice to Long-Term Patient Outcomes: Design and Single-Center Feasibility Study. <em>Journal of Medical Systems, 50</em>(1), Article 153. <a href="https://doi.org/10.1007/s10916-026-02474-2" rel="noopener noreferrer">https://doi.org/10.1007/s10916-026-02474-2</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10916-026-02474-2" rel="noopener noreferrer">10.1007/s10916-026-02474-2</a></p>
<p><strong>Keywords:</strong> blood transfusion, patient registry, long-term outcomes, patient-reported measures, SNOMED CT, health data, privacy by design, digital follow-up, cardiac surgery, blood safety, Web-Based, Registry</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">326792</post-id>	</item>
		<item>
		<title>Research report: Effects of a web-based serious game on postpartum hemorrhage management knowledge, self-efficacy, and self-regulated learning: a randomized controlled trial among nursing students in western Türkiye</title>
		<link>https://scienmag.com/research-report-effects-of-a-web-based-serious-game-on-postpartum-hemorrhage-management-knowledge-self-efficacy-and-self-regulated-learning-a-randomized-controlled-trial-among-nursing-students-in/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Wed, 21 Oct 2026 00:40:43 +0000</pubDate>
				<category><![CDATA[Science Education]]></category>
		<category><![CDATA[clinical decision-making]]></category>
		<category><![CDATA[clinical decision-making simulation for nurses]]></category>
		<category><![CDATA[digital learning tools in nursing]]></category>
		<category><![CDATA[effectiveness of serious games in medical training]]></category>
		<category><![CDATA[Effects]]></category>
		<category><![CDATA[impact of serious games on clinical knowledge]]></category>
		<category><![CDATA[innovative teaching methods in nursing education]]></category>
		<category><![CDATA[Medical Education]]></category>
		<category><![CDATA[Nursing education]]></category>
		<category><![CDATA[nursing students postpartum hemorrhage management]]></category>
		<category><![CDATA[postpartum hemorrhage]]></category>
		<category><![CDATA[postpartum hemorrhage management skills development]]></category>
		<category><![CDATA[Randomized Controlled Trial]]></category>
		<category><![CDATA[randomized controlled trial nursing education]]></category>
		<category><![CDATA[self-efficacy]]></category>
		<category><![CDATA[self-efficacy in postpartum hemorrhage care]]></category>
		<category><![CDATA[self-regulated learning]]></category>
		<category><![CDATA[self-regulated learning in healthcare training]]></category>
		<category><![CDATA[serious]]></category>
		<category><![CDATA[serious games]]></category>
		<category><![CDATA[web-based]]></category>
		<category><![CDATA[web-based learning]]></category>
		<category><![CDATA[web-based serious game for postpartum hemorrhage education]]></category>
		<category><![CDATA[web-based simulation in nursing training]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=326552</guid>

					<description><![CDATA[In a randomized trial of 120 nursing students, adding a web-based game to theoretical instruction was associated with higher immediate postpartum hemorrhage knowledge, self-efficacy and self-regulated learning scores, although the unmatched control prevented isolation of game-specific effects.]]></description>
										<content:encoded><![CDATA[<p>A web-based serious game used alongside theoretical instruction was associated with higher immediate scores for postpartum hemorrhage management among third-year nursing students in western Türkiye, according to a two-arm randomized controlled trial. Among 120 participating students, those assigned to the game condition had an adjusted mean knowledge score of 13.27 after the intervention, compared with 11.78 in the control group. The baseline-adjusted mean difference was 1.49 points (95% confidence interval, 0.77 to 2.21; p &lt; .001).</p>
<p>The study measured knowledge as its primary outcome and task-specific self-efficacy and self-regulated learning as secondary outcomes, but it did not test whether the observed differences persisted over time or translated into better clinical performance. The trial was conducted from October 2025 to January 2026 in the nursing department of a public university in western Türkiye. Using census recruitment, investigators invited all 159 eligible third-year nursing students, of whom 120 consented and were randomized in a 1:1 ratio to the intervention or control condition.</p>
<p>Both groups received three theoretical sessions, each lasting 40 minutes. The intervention group additionally completed an individual, self-paced, browser-based serious game lasting 30 to 50 minutes. Its single branching postpartum hemorrhage scenario required clinical decision-making and provided immediate feedback about the physiological consequences of participants’ choices.</p>
<p>Students’ outcomes were assessed with the Postpartum Hemorrhage Management Knowledge Assessment Form, the Postpartum Hemorrhage Management Self-Efficacy Assessment Form and the Self-Regulated Learning Scale for Clinical Nursing Practice. A blinded analyst compared the groups using baseline-adjusted analysis of covariance. The investigators also performed exploratory analyses of indirect associations between group allocation and post-intervention knowledge through self-efficacy and through self-regulated learning.</p>
<p>These analyses used 5,000 bootstrap samples, with statistical significance assessed through confidence intervals around the estimated indirect effects. The secondary outcomes showed adjusted differences in the same direction as knowledge. Self-efficacy scores averaged 39.46 in the intervention group and 37.29 in the control group, an adjusted mean difference of 2.17 points (95% confidence interval, 0.63 to 3.71; p = .006).</p>
<p>Self-regulated learning scores averaged 66.23 and 62.70, respectively, producing an adjusted mean difference of 3.53 points (95% confidence interval, 0.63 to 6.43; p = .017). The exploratory analysis identified a statistically significant indirect association between allocation to the game and post-intervention knowledge through self-efficacy: the estimated indirect effect was 0.27, with a 95% bootstrap confidence interval from 0.03 to 0.68. The indirect association through self-regulated learning was not statistically significant, at -0.03 (95% bootstrap confidence interval, -0.24 to 0.19).</p>
<p>The results are limited by the nature of the comparison. The control group received the same theoretical sessions as the intervention group but was not matched for time and attention, so the trial cannot isolate game-specific effects from other influences associated with additional study time or engagement. The indirect-effect analysis also does not establish causal mediation: the association through self-efficacy is compatible with a possible role for that factor, but it does not demonstrate that increased self-efficacy caused the observed knowledge difference.</p>
<p>Accordingly, the findings show that adding the serious game to instruction was associated with higher immediate knowledge, self-efficacy and self-regulated learning scores in this group of nursing students, rather than establishing that the game alone produced the differences or improved professional competence.</p>
<p><strong>Subject of Research:</strong> Randomized trial of a web-based postpartum hemorrhage management game among third-year nursing students in western Türkiye</p>
<p><strong>Article Title:</strong> Effects of a web-based serious game on postpartum hemorrhage management knowledge, self-efficacy, and self-regulated learning: a randomized controlled trial among nursing students in western Türkiye</p>
<p><strong>Article References:</strong> Demirhan Kayacık, A., Ilcioglu, K., &amp; Tuna, O. (2026). Effects of a web-based serious game on postpartum hemorrhage management knowledge, self-efficacy, and self-regulated learning: a randomized controlled trial among nursing students in western Türkiye. <em>BMC Medical Education</em>. <a href="https://doi.org/10.1186/s12909-026-10417-1" rel="noopener noreferrer">https://doi.org/10.1186/s12909-026-10417-1</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s12909-026-10417-1" rel="noopener noreferrer">10.1186/s12909-026-10417-1</a></p>
<p><strong>Keywords:</strong> serious games, nursing education, postpartum hemorrhage, randomized controlled trial, web-based learning, clinical decision-making, self-efficacy, self-regulated learning, medical education, Effects, web-based, serious</p>
]]></content:encoded>
					
		
		
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