Brieflands

History

The company was first founded by Seyyed M. Miri and Seyed-M Alavian as an editorial group in a Medical Institute in 2007 to publish its medical journal. After three years of experience, the number of journals increased to 5 journals, and the company launched its first form of business as a VOF (collaboration) professional STM company in Heerlen, the Netherlands, which was called "Kowsarmedical Publishing." Respecting the publishing services (from submission to publishing), especially an in-house "Journal Management System," our journals increased to more than 60 STM journals between 2010 and 2019. Since 2022, "Brieflands" is the new brand name that acts as a "Science, Technical, Medical Publisher" that publishes more than 50 journals with the services provided by 97 expert employees in three different branches.

Business Profile

Brieflands is a Registered Trademark with record number 1454012.
Brieflands has been registered as a General partnership (Vennootschap onder firma) company in the Chamber of Commerce (Kamer van Koophandel) of the Netherlands since 2010.
- KvK number: 89235444.
- BTW (VAT) number: NL864918896B01 (check online at VIES )
- RSIN: 864918896
Nedmedica is our related company which is specialized in Author Services.
Our former branding name was Kowsarmedical Publishing (2010-2021).

Communities in Brieflands

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Recent Submissions

Outcome Prediction in Burn Care: A Comparative Study of Machine Learning Algorithms on Structured Clinical Data
(Brieflands, 2026-07-31)
Abdolkhalegh Keshavarzi
;
Ali Sam
;
Nahid Abolpour
;
Zahra Taghados
;
Iliya Keshavarzi
Background: Early prediction of burn outcomes using structured clinical information available during prehospital care, triage, and early admission may support triage, counseling, and resource planning. Objectives: To compare five prespecified classifiers for the early prediction of final outcome, number of surgeries, intensive care unit (ICU) length of stay, and hospital length of stay using routinely collected prehospital and admission registry data. Methods: This retrospective single-center study used burn-registry records from Shiraz Burn Hospital for the period from 20 March 2020 to 20 March 2026. After records with final outcomes of transfer, discharge at the patient's own request, or unknown/not recorded were excluded, the analytic registry contained 4,127 records with 4,127 unique patient identifiers. Final outcome was modeled as recovery versus death. For the targets of number of surgeries and length of stay, deaths were excluded because death is a competing terminal event. Candidate predictors comprised demographic characteristics; referral and triage information; level of consciousness; vital signs and acute clinical findings; burn mechanism, intent, depth, total body surface area (TBSA), and anatomical regions; comorbidities; and prehospital treatment indicators. Target labels were not imputed. Logistic regression, decision tree, random forest, support vector machine (SVM), and k-nearest neighbors were compared using repeated stratified five-fold cross-validation, with macro-F1 as the primary model-selection metric, followed by evaluation on an independent 20% held-out test set. Results: The final outcome was recovery in 3,175 patients (76.9%) and death in 952 (23.1%). Among the 3,175 recovered patients included in the resource-use analyses, surgery categories were 0 surgeries in 48.1%, 1 in 14.0%, 2 in 10.3%, and > 2 in 27.6%; ICU-stay categories were no ICU/0 days in 74.9%, 1 - 7 days in 12.6%, and > 7 days in 12.5%; and hospital-stay categories were ≤ 7 days in 26.4%, 8 - 14 days in 33.2%, and > 14 days in 40.4%. In the development-set comparison, SVM achieved the highest macro-F1 for final outcome (0.895), whereas random forest performed best in predicting the number of surgeries, ICU length of stay, and hospital length of stay, with macro-F1 values of 0.466, 0.618, and 0.575, respectively. On the held-out test set, the selected SVM achieved a macro-F1 of 0.905 and a balanced accuracy of 0.932 for final outcome. For death prediction, sensitivity was 93.7% and positive predictive value was 79.2%. Random forest achieved held-out macro-F1 values of 0.459, 0.699, and 0.575 for number of surgeries, ICU length of stay, and hospital length of stay, respectively. Conclusions: Among the five evaluated classifiers, SVM provided the strongest performance for early prediction of final clinical outcome, whereas random forest performed best for the three resource-use outcomes. Early structured burn-registry variables enabled strong discrimination between recovery and death, including high sensitivity for mortality, whereas prediction of operative burden and hospital length of stay remained more challenging. These findings support further external and prospective validation before clinical implementation.
Association of Empagliflozin Therapy with the Development of Erythrocytosis in Individuals with Type 2 Diabetes and Chronic Kidney Disease
(Brieflands, 2026-10-31)
Samaneh Hashemi
;
Leila Barahimi
;
Mohammad Kogani
;
Tina Eghdampanah Foumani
;
Ehsan Moradi-Joo
Background: Empagliflozin, a sodium-glucose cotransporter 2 (SGLT2) inhibitor, is widely used in patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD). In addition to its established cardiorenal benefits, emerging evidence suggests potential effects on hemoglobin levels and erythrocytosis. Objectives: This study aimed to evaluate the association between empagliflozin therapy and erythrocytosis in patients with T2DM and CKD. Methods: This retrospective cohort study included 300 patients with T2DM and CKD treated at two teaching hospitals between 2023 and 2024. Patients were categorized as empagliflozin users (n = 100) or nonusers (n = 200). Erythrocytosis was assessed after ≥ 6 months of continuous therapy. Unadjusted, age- and sex-adjusted, and fully adjusted logistic regression analyses were performed. Results: Erythrocytosis occurred in 8 of 100 users (8%) and 5 of 200 nonusers (2.5%). Empagliflozin use was associated with higher odds of erythrocytosis in the unadjusted model (odds ratio [OR] = 3.64; 95% confidence interval [CI], 0.59 - 22.20; P = 0.161) and the age- and sex-adjusted model (OR = 4.38; 95% CI, 0.66 - 28.90; P = 0.125). In the fully adjusted model, the association remained directionally positive but imprecise (OR = 41.73; 95% CI, 0.11 - 15061.54; P = 0.214). Increasing age was inversely associated with erythrocytosis in the age- and sex-adjusted model (OR = 0.91; 95% CI, 0.84 - 0.97; P = 0.012). Conclusions: Empagliflozin therapy was associated with higher point estimates of the odds of erythrocytosis; however, the lack of statistical significance and wide confidence intervals indicate substantial uncertainty. These findings are exploratory and should be interpreted cautiously. Larger prospective studies are needed to clarify this potential association.
Psychometric Evaluation of the Persian Smartphone Addiction Scale (SAS) Among Nursing and Midwifery Students in Clinical Education Settings
(Brieflands, 2026-12-31)
Azita Salajegheh
;
Mohammad Reza Mohammadi Soliemani
;
Maryam Mohseni Khalil Abade
;
Shahrzad Sanjari
;
Azita Salajegheh [0000-0002-2346-6984]
Background: Excessive smartphone use has emerged as a behavioral problem associated with psychological, social, and functional difficulties. Nursing and midwifery students may be particularly vulnerable because clinical education requires sustained attention, professional conduct, and accurate decision-making. The term “Smartphone Use Disorder” has been proposed in the literature to describe problematic and uncontrolled smartphone use. Accordingly, the terms “Smartphone Use Disorder” and “Smartphone Addiction” are used interchangeably in this manuscript without implying that either term represents a formally established psychiatric diagnosis. Objectives: To evaluate the psychometric properties of the Persian version of the Smartphone Addiction Scale (SAS). Methods: This psychometric study included 867 nursing and midwifery students enrolled in clinical education at teaching hospitals affiliated with universities in Kerman Province, Iran, in 2025. Participants were recruited through multistage cluster sampling. Following forward–backward translation, content validity was evaluated using the content validity ratio (CVR) and Content Validity Index (CVI). Concurrent validity was examined using the Chen Internet Addiction Scale (CIAS), while construct validity was assessed through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Reliability was evaluated using Cronbach’s alpha, split-half reliability, and two-week test–retest reliability. Results: Of the participants, 61.4% were female, 46.6% were aged 20 - 25 years, and 70.8% were nursing students. Content validity was satisfactory (content validity ratio [CVR] = 0.80 - 1.00; content validity index [CVI] = 0.80 - 0.97). Concurrent validity was supported by a strong positive correlation between scores on the Smartphone Addiction Scale (SAS) and Chen Internet Addiction Scale (CIAS) (r = 0.73, 95% CI, 0.61 - 0.81, P < 0.01). Exploratory factor analysis identified six factors that explained 59.265% of the total variance. Confirmatory factor analysis supported the six-factor model (root mean square error of approximation [RMSEA] = 0.037, comparative fit index [CFI] = 0.987, non-normed fit index [NNFI] = 0.986, standardized root mean square residual [SRMR] = 0.037). Internal consistency was high for the total scale (α = 0.929) and subscales (α = 0.843 - 0.925). The Spearman–Brown and Guttman split-half coefficients were 0.764 and 0.762, respectively, and two-week test–retest reliability was strong (r = 0.89, P < 0.01). Conclusions: The Persian Smartphone Addiction Scale (SAS) demonstrated satisfactory validity, internal consistency, and temporal stability among nursing and midwifery students receiving clinical education. The instrument may be useful as a multidimensional measure of problematic smartphone use in this population.
Designing and Articulating a Conceptual Model for Disaster Management at Kermanshah University of Medical Sciences: A Grounded Theory Approach
(Brieflands, 2026-06-30)
Arsalan Naderipour
;
Soosan Laei
;
Elham Kavyani
;
Sahar Mohammadi
;
Arsalan Naderipour [0000-0001-8083-2437]
Background: Complex crises and sudden disasters pose serious challenges to health system resilience. Universities of medical sciences are strategic centers for higher education and provide frontline diagnostic, therapeutic, and public health services. These institutions and their affiliated teaching hospitals are structurally and operationally vulnerable during crises. Despite established guidelines, the lack of an effective, integrated, and locally grounded Disaster management model informed by the lived experiences of health administrators and crisis commanders has compromised organizational resilience. Objectives: This study aimed to design and develop a conceptual model for Disaster management in medical sciences universities using a grounded theory approach. Methods: This qualitative study employed the systematic grounded theory approach developed by Strauss and Corbin and was conducted at Kermanshah University of Medical Sciences during 2025 - 2026. Data were collected through 14 in-depth, semi-structured interviews with senior, administrative, and hospital managers with experience in disaster management, as well as through analysis of four high-level documents: the Emergency Operations Plan (EOP), the Hospital Incident Command System (HICS), and lessons learned from the earthquake and the COVID-19 pandemic. Sampling began purposively and proceeded theoretically until data saturation was achieved. Data were analyzed through open, axial, and selective coding using MAXQDA software. Validity and reliability were established using Lincoln and Guba's criteria. Results: Data analysis yielded 107 initial codes, 18 subcategories, and six paradigmatic dimensions. The core phenomenon was identified as "integrated and resilient management centered on the continuity of health services." Environmental hazards and infrastructure vulnerability were identified as causal conditions; logistical capacity and a culture of professional commitment as contextual conditions; and administrative bureaucracy and supply chain challenges as intervening conditions. Action strategies, including dynamic reconfiguration of spaces and adoption of the HICS organizational structure, led to consequences including the continued delivery of acute care services and enhanced institutional resilience. Conclusions: By shifting the focus from isolated, reactive responses to systematic coordination, the resulting paradigmatic model provides an operational, context-specific framework for policymaking that enhances shock-absorption capacity and helps maintain vital health services during crises.
Nurses' Role in Addressing Environmental Factors Associated with Multiple Sclerosis: A Scoping Review
(Brieflands, 2026-10-31)
Maryam Pasandideh
;
Kourosh Zarea
;
Soroush Bayat
;
Neda Omidi
;
Vahadeh Salehi Zadeh
Context: Multiple sclerosis (MS) is a chronic immune-mediated disorder of the central nervous system, for which the risk and clinical course are substantially influenced by modifiable environmental factors, including heat exposure, smoking, diet, physical inactivity, poor sleep, and psychosocial stress. Nurses are well positioned to assess and manage these factors; however, evidence describing their specific contributions remains fragmented and has not been comprehensively mapped. This review aimed to identify and map the available evidence on the role of nurses in addressing environmental factors associated with MS and to describe documented interventions, strategies, responsibilities, and associated outcomes. Evidence Acquisition: A scoping review was conducted using the Arksey and O'Malley framework and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. The review question and eligibility criteria were developed using the population, concept, and context (PCC) framework. The population comprised adults aged 18 years or older with MS and healthcare professionals, including nurses, who care for people with MS. The concept encompassed modifiable external and contextual factors influencing MS risk, clinical course, and symptom management, including the thermal environment, lifestyle behaviors, sleep environment, psychosocial stress, nutritional environment, and therapeutic care environment. The context included inpatient, outpatient, rehabilitation, community, and home-based settings, as well as remote platforms. Six electronic databases were systematically searched from inception to August 2026: MEDLINE via PubMed, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Web of Science, PsycINFO, and the Cochrane Library. Searches were supplemented with gray literature sources. Eligible studies were published in English from January 2000 to August 2026 and involved adults with MS or healthcare professionals caring for them. The search was conducted on August 15, 2026. Two reviewers independently screened records. One reviewer extracted data, and a second reviewer verified all extracted data. Findings were synthesized thematically. Results: A total of 28 studies were included. Nursing engagement with environmental factors was characterized by six themes: 1) thermal environment management and cooling interventions (6 studies); 2) lifestyle modification and modifiable risk factor control, including smoking cessation and physical activity promotion (10 studies); 3) fatigue management using energy conservation and behavioral strategies (9 studies); 4) sleep environment and psychosocial stress regulation (8 studies); 5) the nutritional environment and bowel health (7 studies); and 6) the therapeutic environment, encompassing nurse-patient relationships, education, and self-management support (11 studies). Across the included studies, nurse-led and remotely delivered interventions were associated with improvements in fatigue, sleep quality, physical activity, self-efficacy, quality of life, and resilience. However, small sample sizes, short follow-up periods, and heterogeneous outcome measures limited conclusions regarding effectiveness. Structural barriers, including time constraints, limited resources, transport difficulties, and limited digital literacy, constrained implementation. Conclusions: Nurses have a broad and potentially important role in addressing modifiable environmental factors in MS, with the strongest evidence supporting symptom management and self-management outcomes. Integrating structured environmental assessments and individualized, nurse-led strategies into routine MS care may strengthen person-centered care and support patient autonomy and quality of life. Further high-quality research is needed to establish long-term clinical effectiveness.