Traditional Chinese medicine(TCM) resources are the essential material foundation for the development of TCM. The national survey of TCM resources serves as a periodic summary of these resources, ensuring the continuity, prosperity, and development of TCM in China. Since 1949, four national surveys of TCM resources have been conducted. The fourth survey incorporated an investigation into traditional knowledge related to TCM resources, including the traditional medicinal knowledge of Chinese ethnic minorities, with the goal of systematically exploring, preserving, and inheriting this knowledge. This manuscript provides an overview of the basic findings from the first three national surveys of TCM resources, while also clarifying the concepts, categories, forms, carriers, and acquisition pathways of traditional knowledge related to TCM resources. A preliminary summary of the findings from traditional knowledge investigations reported in current literature is also presented. Based on the fourth survey, this manuscript emphasizes the urgency of developing public medical knowledge through empirically-based investigations, the excavation, and compilation of traditional knowledge. It also outlines the potential for conducting "precise" investigations based on first-hand data obtained from the survey, as well as facilitating the discovery and evaluation of new medicines using traditional knowledge related to ethnic minority medicinal practices. This manuscript is expected to provide valuable insights for promoting the health and industrial development of ethnic minority populations in the post-"survey" phase.
Humans ; Medicine, Chinese Traditional ; China/ethnology* ; Minority Groups ; Ethnicity ; Drugs, Chinese Herbal/therapeutic use* ; Health Knowledge, Attitudes, Practice/ethnology* ; Surveys and Questionnaires

Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are constrained by limitations in understanding ECG features and transferring knowledge across tasks. To address these challenges, this study developed a multi-resolution feature encoding network based on residual networks, which effectively extracted local morphological features and global rhythm features of ECG signals, thereby enhancing feature representation. Furthermore, a model compression-based continual learning method was proposed, enabling the structured transfer of knowledge from simpler tasks to more complex ones, resulting in improved performance in downstream tasks. The multi-resolution learning model demonstrated superior or comparable performance to state-of-the-art algorithms across five datasets, including tasks such as ECG QRS complex detection, arrhythmia classification, and emotion classification. The continual learning method achieved significant improvements over conventional training approaches in cross-domain, cross-task, and incremental data scenarios. These results highlight the potential of the proposed method for effective cross-task knowledge transfer in ECG analysis and offer a new perspective for multi-task learning using ECG signals.
Humans ; Electrocardiography/methods* ; Mental Health ; Algorithms ; Signal Processing, Computer-Assisted ; Machine Learning ; Arrhythmias, Cardiac/diagnosis* ; Cardiovascular Diseases ; Neural Networks, Computer ; Mental Disorders

This essay laid out the development of a nurse's identity from clinical practitioner to developing researcher, with a focus on the importance of patient-centered and nurse-centered care as the cornerstone pillars of nursing research. Through narrative and application of qualitative and participatory research approaches, the author showed the intersection of everyday experience, philosophical inquiry, and scholarly pursuit along the path toward becoming a nurse researcher. The article examined how emotional experiences within the perioperative environment have instigated research questions aimed at improving patient and nurse well-being. Through the incorporation of academic models and theoretical perspectives, the author presented an emerging investment in health equity, social determinants of health, and collective inquiry, framing this individual path within the greater nursing science mission.

Palliative care has emerged as a crucial component of healthcare, particularly in the context of an aging population and the increasing prevalence of chronic and life-limiting illnesses. In the Philippines, however, access to palliative care remains significantly limited, especially in rural and underserved areas. This disparity is primarily driven by systemic challenges such as inadequate healthcare infrastructure, a shortage of trained professionals, and insufficient public awareness. While the inclusion of palliative care in the Universal Health Care (UHC) Act of 2019 (Republic Act No. 11223) reflects a progressive step toward addressing these needs, the implementation of comprehensive palliative services continues to face considerable hurdles. This paper advocated for the stronger integration of palliative care into primary health care systems at the barangay level, emphasizing the need to strengthen policy frameworks, ensure adequate resource allocation, and actively engage communities in this endeavor. Such efforts are essential to guaranteeing equitable, compassionate, and dignified care for all individuals, regardless of their stage of life or even socioeconomic status.

Human ; Health ; Nurses

Databases, Bibliographic ; Evidence-based Practice ; Health Services Needs And Demand

BACKGROUND

Lesbian, gay, bisexual, and transgender (LGBT) individuals continue to experience health disparities related to discrimination and health professional inadequacies despite increasing social acceptance of the LGBT community in society. Understanding the knowledge, attitudes, and practices concerning the healthcare of LGBT individuals among healthcare professionals can enable gender-affirming healthcare for the LGBT community. However, there is a need for a culturally relevant and updated tool to describe healthcare professionals' interactions with the LGBT community.

The objective of this study is to describe the development of the Knowledge, Attitudes, and Practices towards LGBT in Healthcare Questionnaire (KAP-LHQ) and demonstrate its content and face validity.

The KAP-LHQ was developed using a two-phase process. Phase 1 involved the generation of items through a literature review and discussions among the authors Phase two included the evaluation of its content and face validity. Content validity was determined by six experts using the Content Validity Index, while ten healthcare professionals evaluated the tool for face validity.

The KAP-LHQ demonstrated good content and face validity. Content validity indices were high. Item-Level CVI (I-CVI) ranges from 0.83 to 1.00 for the items under the Knowledge section and has a Scale-Level CVI (S-CVI) of 0.97. The Attitude section items scored an I-CVI of 0.83 to 1.00 and a S-CVI of 0.99, while most of the Practices section items scored an I-CVI of 1.00 with an overall S-CVI of 0.94. One item was omitted on the final version for having an I-CVI of 0.67. Face validity of the final questionnaire across parameters has a median of 4 out of 4, reflecting the appropriateness, comprehensibility, and relevance of the questionnaire.

The KAP-LHQ appears to be a valid tool that has the potential for assessing the KAP of health professions to improve training and increasese healthcare outcomes for the LGBT community. Using the tool on a larger population can firmly establish its efficacy, further validity, and even reliability.

BACKGROUND

The COVID-19 pandemic significantly impacted global health, especially among older adults at higher risk for severe illness. Despite the benefits of vaccination, booster vaccine hesitancy posed a barrier to optimal protection in the elderly population.

This study aimed to identify factors associated with COVID-19 booster vaccine hesitancy among geriatric patients at the Family Medicine Outpatient Clinic of Region 1 Medical Center.

An analytic, cross-sectional study was conducted with 183 geriatric patients aged 60 and above who had received the primary COVID-19 vaccine series. Data were collected using a 25-item questionnaire addressing sociodemographic information, medical history, COVID-19 knowledge, and vaccine attitudes. Statistical analyses, including chi-square tests and logistic regression, identified factors influencing booster vaccine hesitancy.

The majority of participants were between the ages of 60-69 (66.7%, n=122) and predominantly female (69.4%, n=127). High hesitancy rates were notably observed among elderly females (75.6%), individuals with lower educational attainment (79.7%), and single individuals (93.3%). Other significant factors included hypertension (76.5%) and the absence of prior influenza (81.5%) or pneumococcal (75.9%) vaccinations.

These findings highlight the critical need for targeted educational efforts to mitigate COVID-19 vaccine hesitancy within specific subgroups, particularly elderly females, those with lower education levels, and individuals with certain health conditions. By implementing personalized outreach and emphasizing the advantages of vaccination, stakeholders can enhance vaccine uptake and improve health outcomes for this vulnerable segment of the population.

BACKGROUND

The Universal Health Care (UHC) Act of 2019 aims to improve health outcomes by strengthening primary care. The Konsulta outpatient benefit package is a key component of this reform. However, package availability does not guarantee utilization. Factors such as awareness, perceptions, and attitudes influence benefit use.

This study aimed to determine the awareness, perceptions, and attitudes regarding the Konsulta outpatient benefit package among working-age Filipino adults consulting at a tertiary government hospital.

A cross-sectional study was conducted with 218 respondents. The questionnaire covered sociodemographic and clinical characteristics, awareness, perceptions, and attitudes regarding Konsulta package. Data was analyzed through descriptive statistics.

Twenty-one percent (45/218) of Filipino adults were familiar with Konsulta package. Respondents who were aware of Konsulta were generally aged 51-59, female, unemployed, completed secondary education, lived in Metro Manila, diagnosed with chronic disease, and had previous PhilHealth benefit use. Konsulta facilities were found to be moderately accessible, and the package was reported to reduce out-of-pocket healthcare expenses and to be easy to avail with short waiting times. However, there were limitations in coverage of health services. Negative attitudes predominated among those who were aware of the package (29/45, 64%), particularly concerning program value and effectiveness.

Filipino adults consulting at the Philippine General Hospital-Family Medicine Clinic have low awareness level on PhilHealth Konsulta Package. It was perceived to reduce healthcare expenses and to be easy to avail with short waiting times, but limitations in accessibility and appropriateness were reported. Negative attitudes toward program value and effectiveness were identified.

BACKGROUND/INTRODUCTION

Depression affects millions worldwide and is a major public health concern. Its prevalence is influenced by multiple factors, including sociodemographic elements such as age, gender, and income. In the Philippines, depression affects a significant portion of the population, particularly in rural areas. The Region 2 Trauma Medical Center (R2TMC) in Nueva Vizcaya plays a critical role in addressing mental health issues in the Cagayan Valley Region, with a notable rise in depression cases during the COVID-19 pandemic. This study aimed to explore the correlation between sociodemographic factors and depression in patients at R2TMC.

This study aimed to assess the relationship between depression and various sociodemographic factors (age, sex, marital status, income, education, etc.) among patients seeking mental health services at R2TMC. The goal is to identify the prevalence of depression within these subgroups and evaluate how sociodemographic characteristics correlate with depression.

A retrospective correlational study was conducted from June 2022 to June 2024, analyzing patient records from R2TMC’s Mental Health Outpatient Department. The sample included patients diagnosed with depression based on DSM-V criteria. Descriptive statistics and multiple logistic regression were employed to analyze the data, with ethical approval obtained from the Institutional Review Board. There were 432 participants and data were analyzed using IBM SPSS.

Findings showed varying depression prevalence across sociodemographic categories. The 19-59 age group exhibited the highest depression rates, particularly among females, single individuals, and those in lower-income classes. Unemployed respondents and those with lower educational attainment had higher depression prevalence. These patterns highlight the need for targeted mental health interventions.

The study suggests that depression interventions should be tailored to address the unique vulnerabilities of different sociodemographic groups. Policymakers and healthcare providers should consider these factors to improve mental health care accessibility and effectiveness.