http://www.theihsj.com/index.php/ihsj/issue/feed 2026-03-26T08:29:00+00:00 Dr. Arif Hussain editor@theihsj.com Open Journal Systems <p style="text-align: justify;"><strong>IHSJ is a Double Blind Peer-reviewed, Open Access Online Journal</strong></p> <p style="text-align: justify;">The&nbsp;<strong>Integrated Health Sciences Journal (IHSJ)</strong> is an online journal that publishes scholarly materials (original papers, reviews, case reports and short communications) based on the author's opinion and does not reflect official policy. All rights reserved. Reproduction or transmission without permission is strictly prohibited.</p> <p style="text-align: justify;">All material submitted for publication should be sent exclusively to the IHSJ. Work that has already been reported in a published paper or is described in a paper sent or accepted elsewhere for publication should not be submitted. However, a complete report is following publication of the preliminary report, usually in the form of an abstract, or a paper that has been presented at a scientific meeting. If not published in full in a proceedings or similar publication, may be submitted. Press reports of meetings will not be considered as breach of this rule, but such reports should not be amplified by additional data or copies of tables and illustrations. In case of doubt, a copy of the published material should be included with a manuscript to help the editors decide how to deal with the matter.</p> <div class="page"> <h1 class="page_title" style="text-align: justify;"><strong>Aim &amp; Scope</strong></h1> <p style="text-align: justify;">The IHSJ offers a platform for the quick publication of original research papers, reviews, short communication, case reports, case studies, editorial, and letter to editor on medical and allied health sciences.</p> <p style="text-align: justify;">The IHSJ also includes a mission statement:</p> <p style="text-align: justify;">First, to serve scientists through prompt publication of significant advances in medical and allied health sciences, and to provide a forum for the reporting and discussion of news and issues concerning science. Second, to ensure that the results of science are rapidly disseminated to the public throughout the world, in a fashion that conveys their significance for knowledge, culture, and daily life.</p> <p style="text-align: justify;">Based on the above, we also learned that its audience includes not only scientists but also the general public.</p> </div> http://www.theihsj.com/index.php/ihsj/article/view/25 2026-03-26T08:21:20+00:00 Sajjad Gul sajjad_gul659@gmail.com

<p>Community-based infection prevention strategies are critical for reducing the transmission of communicable diseases and promoting population health. These strategies include hygiene promotion, vaccination campaigns, sanitation improvement, vector control, and community engagement initiatives. Their effectiveness depends on the participation of community members and adherence to recommended preventive behaviors. Health education programs, which provide information, training, and awareness campaigns, are key moderating factors that enhance the adoption of infection prevention measures by empowering individuals with knowledge and behavioral skills. This study examines the relationship between community-based infection prevention strategies and disease control outcomes, exploring the moderating role of health education programs. Community-based interventions are implemented at the local level to prevent disease spread, while health education programs aim to increase understanding, encourage compliance, and improve behavioral change among populations. A quantitative research design was employed, using structured questionnaires administered to community health workers, local public health officials, and residents across diverse communities. Data were analyzed using Smart PLS structural equation modeling to test the hypothesized relationships and moderating effects. Results reveal that community-based infection prevention strategies significantly contribute to improved disease control. Health education programs strengthen this relationship by increasing community awareness, promoting adherence to preventive measures, and reinforcing behavior change. The findings highlight the importance of integrating health education into community-level interventions to maximize public health outcomes. This study provides evidence-based insights for public health policymakers, community organizations, and healthcare administrators seeking to enhance infection prevention and disease control through education-driven community engagement.</p>

2026-03-26T08:21:20+00:00 Copyright (c) 2026 Integrated Health Sciences Journal (IHSJ) http://www.theihsj.com/index.php/ihsj/article/view/26 2026-03-26T08:22:56+00:00 Areeba Zubair zubi.zubair545@gmail.com

<p>Digital health tools are transforming nursing practice by enhancing patient care, streamlining workflow, and improving healthcare outcomes. These tools include electronic health records (EHRs), mobile health applications, telehealth platforms, remote monitoring devices, and clinical decision support systems. While the adoption of digital health technologies offers significant benefits, the effectiveness of these tools in improving nursing outcomes often depends on how efficiently they enhance clinical decision-making. This study investigates the impact of digital health tools on nursing practice and explores the mediating role of clinical decision-making efficiency. Digital health tools are conceptualized as technological interventions that support information access, communication, monitoring, and patient management. Clinical decision-making efficiency, as a mediator, reflects nurses’ ability to interpret patient data, make timely judgments, and implement effective care plans. A quantitative research design was employed, using structured questionnaires distributed to registered nurses, nurse managers, and clinical informatics specialists across multiple healthcare institutions. Data were analyzed using Smart PLS structural equation modeling to examine the direct effects of digital health tools on nursing practice and the mediating effect of clinical decision-making efficiency. Results indicate that digital health tools significantly enhance nursing practice, improving patient care quality, workflow efficiency, and job performance. Clinical decision-making efficiency partially mediates this relationship, highlighting its critical role in translating technological adoption into effective clinical outcomes. The study underscores the importance of integrating decision-support functionalities and training programs to maximize the benefits of digital health tools in nursing practice. These findings provide actionable insights for healthcare administrators, nurse educators, and policymakers aiming to optimize digital integration in clinical settings.</p>

2026-03-26T08:22:56+00:00 Copyright (c) 2026 Integrated Health Sciences Journal (IHSJ) http://www.theihsj.com/index.php/ihsj/article/view/27 2026-03-26T08:24:28+00:00 Shahndana Gulaly gulaly.shams256@gmail.com

<p>Pandemics pose severe challenges to healthcare systems worldwide, testing their capacity to respond effectively to sudden surges in patient demand. The COVID-19 pandemic highlighted critical gaps in healthcare infrastructure, workforce readiness, and emergency response mechanisms. Pandemic preparedness encompasses the strategies, plans, and resources that healthcare systems employ to anticipate, prevent, and respond to infectious disease outbreaks. Healthcare system capacity, including hospital beds, intensive care units, medical personnel, and equipment availability, is a key determinant of system resilience. However, the effectiveness of preparedness and capacity often depends on the coordination of emergency response efforts. This study investigates the relationship between pandemic preparedness and healthcare system capacity, examining the mediating role of emergency response coordination. Emergency response coordination refers to the strategic planning, communication, and collaborative efforts that align stakeholders, resources, and decision-making during public health crises. Effective coordination ensures that preparedness measures translate into operational capacity, optimizing patient outcomes and minimizing system overload. A quantitative research design was employed, utilizing structured questionnaires administered to healthcare administrators, policymakers, and hospital management personnel across multiple regions. Smart PLS structural equation modeling was used to analyze the relationships between pandemic preparedness, emergency response coordination, and healthcare system capacity. Results indicate that pandemic preparedness significantly enhances healthcare system capacity, and this effect is partially mediated by emergency response coordination. Strong coordination improves resource allocation, decision-making efficiency, and workforce deployment, enabling healthcare systems to respond effectively to surges in patient demand. The study provides empirical evidence on the mechanisms through which preparedness translates into capacity, emphasizing the importance of coordinated emergency planning. These findings offer actionable insights for healthcare policymakers and administrators to strengthen system resilience against future pandemics.</p>

2026-03-26T08:24:28+00:00 Copyright (c) 2026 Integrated Health Sciences Journal (IHSJ) http://www.theihsj.com/index.php/ihsj/article/view/28 2026-03-26T08:26:24+00:00 Zameer Ishteyaq ishteyaq.kk444@gmail.com

<p>Early detection of cancer significantly improves patient prognosis and survival rates, as interventions at initial stages are often more effective and less invasive. Recent advancements in biotechnology, including molecular diagnostics, liquid biopsies, high-throughput sequencing, and imaging technologies, have transformed early cancer detection by enabling precise and rapid identification of malignancies. Central to these innovations is biomarker identification, which involves detecting molecular, genetic, or proteomic signatures associated with cancer initiation and progression. This study investigates the impact of biotechnology innovations on early cancer detection, with a focus on the mediating role of biomarker identification. Biotechnology innovations encompass novel diagnostic assays, nanotechnology-based detection systems, and genomic profiling platforms. Biomarker identification mediates the effectiveness of these innovations by translating complex biological data into actionable diagnostic information, allowing clinicians to detect cancer earlier and with greater accuracy. A quantitative research design was employed, utilizing structured questionnaires administered to clinical oncologists, biomedical researchers, and diagnostic laboratory specialists. Data were analyzed using Smart PLS structural equation modeling to assess the direct effects of biotechnology innovations on early cancer detection and the mediating role of biomarker identification. Findings indicate that biotechnology innovations significantly improve early cancer detection outcomes. Biomarker identification partially mediates this relationship, highlighting its critical role in translating technological advancements into practical diagnostic applications. The study emphasizes the importance of integrating biomarker discovery with innovative biotechnological tools to optimize early detection and improve clinical outcomes. These insights are valuable for healthcare administrators, researchers, and policymakers seeking to implement precision oncology strategies.</p>

2026-03-26T08:26:24+00:00 Copyright (c) 2026 Integrated Health Sciences Journal (IHSJ) http://www.theihsj.com/index.php/ihsj/article/view/29 2026-03-26T08:29:00+00:00 Dr. Ayesha Sharmin sharmin.adr89@gmail.com

<p>Genomic medicine has emerged as a transformative approach in chronic disease management, enabling personalized prevention, diagnosis, and treatment strategies. By leveraging genomic data, healthcare providers can identify individual susceptibility to chronic conditions such as cardiovascular disease, diabetes, and cancer, allowing for tailored interventions that optimize patient outcomes. Despite its potential, the integration of genomic medicine into clinical practice faces challenges, including data complexity, limited provider knowledge, and the need for effective interpretation of genomic information. Clinical decision support technologies (CDSTs), such as electronic health record-based alerts, genomic risk prediction tools, and AI-driven recommendation systems, can enhance the utility of genomic medicine by facilitating real-time, evidence-based clinical decision-making. This study examines the role of genomic medicine in chronic disease management and investigates the moderating effect of CDSTs on the relationship between genomic medicine implementation and patient health outcomes. Genomic medicine interventions include risk assessment, pharmacogenomics, and targeted therapeutic strategies. CDSTs provide actionable insights to clinicians, improving the translation of genomic data into individualized care. A quantitative research design was employed, collecting data through structured questionnaires from healthcare providers, genetic counselors, and clinical informatics specialists in multiple healthcare institutions. Smart PLS structural equation modeling was used to test the direct effects of genomic medicine on chronic disease management outcomes and the moderating effect of CDSTs. Findings indicate that genomic medicine significantly enhances chronic disease management outcomes. The presence of CDSTs strengthens this relationship by improving data interpretation, clinical workflow integration, and adherence to evidence-based recommendations. The study provides empirical evidence supporting the integration of genomic medicine with advanced clinical decision support to optimize chronic disease management. These findings have practical implications for healthcare administrators, policymakers, and clinical informatics teams seeking to implement precision medicine strategies effectively</p>

2026-03-26T08:29:00+00:00 Copyright (c) 2026 Integrated Health Sciences Journal (IHSJ)