This study aims to determine the prevalence of erectile dysfunction (ED) and identify its associated risk factors among young and middle-aged Filipino male patients diagnosed with diabetes mellitus. This study utilized a cross-sectional design to investigate the prevalence and associated factors of ED among male patients with diabetes. A total of 423 participants were recruited from clinical settings using purposive sampling. Data were collected using structured interviews and medical records, including demographics, comorbidities and laboratory results. Among 423 male diabetic patients, 78% were found to have ED. Patients with ED were significantly older (median: 49.5 versus 42 years, p<0.001), had higher body mass index (BMI), longer diabetes duration and more comorbidities. Univariable logistic regression showed that age (OR: 1.06, p<0.001), diabetes duration (OR: 1.11, p<0.001), hypertension (OR: 1.62, p = 0.042), dyslipidemia (OR: 1.75, p = 0.022), elevated HbA1c (>9.0%; OR: 3.43, p = 0.034) and serum creatinine (OR: 1.01, p = 0.008) were significantly associated with ED. However, none remained significant in the multivariable model. Male Filipino patients with diabetes have a significant burden of ED. Results of the univariable models show that age, duration of diabetes, hypertension, dyslipidemia, HbA1c and serum creatinine are significant individual predictors of ED.

Human ; Male ; Adolescent: 13-18 Yrs Old ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Middle Aged: 45-64 Yrs Old ; Aged: 65-79 Yrs Old ; Tertiary Care Centers ; Risk Factors ; Risk ; Medical Records ; Erectile Dysfunction ; Diabetes Mellitus ; Philippines

OBJECTIVES

Adiposity rebound (AR), the childhood period at which body mass index (BMI) rises from its lowest point, is linked to increased risk of later obesity. The study aims to determine the average age at AR, describe baseline characteristics and analyze the correlation between these characteristics and timing of AR in a population of Filipino pediatric outpatients.

DESIGN

Seven subjects born between 2016 and 2019 from a University Hospital Outpatient Department participated in this cross-sectional analytic study. Childhood anthropometrics were retrospectively collected to determine the age at AR by plot visual inspection. Sex, birth weight and gestational age were obtained from hospital records; breastfeeding duration, maternal BMI, parental obesity, maternal age, maternal smoking, education, parity and family income were gathered through a questionnaire completed by mothers or guardians. Associations were assessed using bootstrap univariate linear regression.

RESULTS

The mean age at AR was 3.2 years (SD = 1.2). Vaginal delivery was significantly associated with later age at AR compared to cesarean section (p = 0.035). Socioeconomic status at ages 2 to 5 showed positive association with delayed AR. Higher monthly family income (≥₱19,000) at ages 2 to 5 years was significantly associated with delayed age at AR. Other baseline childhood and parental factors showed no significant correlation with age at AR.

CONCLUSION

These results highlight the complex and context-dependent nature of AR, emphasizing the need for further studies to better understand and mitigate early obesity risk in Filipino children.

Human ; Young Adult: 19-24 Yrs Old ; Universities ; Regression (psychology) ; Hospital Records ; Gestational Age ; Body Mass Index ; Obesity, Maternal

OBJECTIVE: To organize and display systematically the ancient medical records of stroke treated with acupuncture and moxibustion based on the knowledge element theory of information technology, so as to provide the path and paradigm for the construction of ancient acupuncture and moxibustion knowledge model. METHODS: The medical records of stroke treated with acupuncture and moxibustion were collected from the monographs of acupuncture and moxibustion and tuina, medical reports, the ancient works of traditional Chinese medicine of comprehensive collection and clinical disorders of each medical department, from the pre-Qin period to the late Qing Dynasty, collected in Zhonghua Yidian (Canon of Chinese Medicine), the fifth edition. Using "knowledge processing platform of ancient Chinese medicine books", the medical records of stroke treated with acupuncture and moxibustion in ancient time were deeply analyzed and indexed. With the MS SQL Server database adopted, the indexing results were exported into logical data; and Neo4j database was employed to build the knowledge graph of stroke treatment with acupuncture and moxibustion in ancient time. RESULTS: There were 43 medical records in 18 ancient books that met the inclusion criteria, and a logical structure was organized and composed of 65 knowledge bodies, 462 knowledge elements, 1,413 semantic types and 315 semantic associations. CONCLUSION Based on the knowledge element theory, the medical records of stroke treated with acupuncture and moxibustion in ancient time have been explored, and the logical data formed can accurately reflect the knowledge of the different attributes inside these medical records. It displays the knowledge organization category from the overall to the local. The knowledge graph generated according to the logical data is conducive to presenting the ancient acupuncture knowledge in view of the "vertical and horizontal" dimensions.
Moxibustion/history* ; Humans ; Acupuncture Therapy/history* ; Stroke/history* ; History, Ancient ; Medical Records ; China

Surgical records are the core components of medical documents in clinical centers of surgery. Standardization of surgical records contributes to standardizing surgical procedures, improving the quality of surgery, and ensuring patient safety. To ensure that surgical records more objectively, visually, and comprehensively reflect the actual surgical process, numerous high-level university hospitals' surgical centers have long adhered to the good tradition of documenting surgical records in a "combination of text and images" format. Graphic surgical records not only benefit postoperative review and structured data collection but also facilitate the implementation of high-quality clinical research and surgical training. As early as 2015, Group of Operative Surgery, Chinese Society of Surgery, Chinese Medical Association already formulated the "Expert Consensus on Advocating the use of graphic surgical records".In recent years, rapid development of information technology has provided technical support for the further promotion of graphical surgical records. After extensive and multiple rounds of professional discussions and investigations, and based on a thorough consideration of relevant national policy requirements, information standards, the 2025 edition of the "Expert Consensus" is intended to be revised, aiming to enhance the standardization of graphical surgical records, improve the quality of surgery and training system, as well as clinical researches, thereby contributing to the development of Healthy China.
Humans ; Consensus ; Medical Records

OBJECTIVES: To analyze the multimorbidity patterns and core diseases among hospitalized patients in different age groups and to explore the impacts of multimorbidity patterns on hospitalization costs. METHODS: Electronic medical records of adult inpatients (aged ≥18 years) from Ningbo Medical Center Lihuili Hospital between January 1, 2018, and June 30, 2023 were collected. The multimorbidity status involving 53 specific diseases was analyzed across different age groups. Association rule mining was used to identify common multimorbidity patterns. Complex network analysis was used to identify core diseases within the multimorbidity networks. Generalized estimating equations (GEE) were used to analyze the impact of different multimorbidity patterns on hospitalization costs. RESULTS: The prevalence of multimorbidity among the 359 402 adult inpatients was 38.51%, with higher rates observed in males (43.60%) and elderly patients (58.29%). Association rule mining identified 15 common multimorbidity patterns, which exhibited differences across age groups. The most prevalent multimorbidity pattern overall was "diabetes→hypertension" (support=7.04%, confidence=62.17%, lift=2.17). In the young adult group, the most prevalent pattern was "dyslipidemia→chronic liver disease" (support=1.19%, confidence=53.17%, lift=6.04). In the middle-aged group, it was "diabetes→hypertension" (support=4.84%, confidence=50.28%, lift=2.15). In the elderly group, it was "coronary heart disease, diabetes→hypertension" (support=2.38%, confidence=77.43%, lift=1.63). Complex network analysis revealed that the core diseases within multimorbidity networks differed across age groups. The core disease identified in the young adult group was chronic liver disease (degree centrality=50, betweenness centrality=0.055, closeness centrality=0.963). Core diseases in the middle-aged group included hypertension, chronic liver disease, and diabetes (all with degree centrality=52, betweenness centrality=0.022, closeness centrality=1.000). Core diseases in the elderly group comprised hypertension, diabetes, malignant tumors, chronic liver disease, thyroid disease, anemia, and arrhythmia (all with degree centrality=52, betweenness centrality=0.009, closeness centrality=1.000). Generalized estimating equations analysis indicated that, most multimorbidity patterns were significantly associated with increased hospitalization costs. However, the magnitude of cost increase varied across different multimorbidity patterns. Specifically, hospitalization costs for patients with patterns such as "heart failure→hypertension", "stroke→hypertension", "malignant tumor, diabetes→hypertension", "stroke, diabetes→hypertension", and "diabetes, heart failure→hypertension" were more than double those of patients without any target diseases. CONCLUSIONS Multimorbidity patterns and core diseases among hospitalized patients differ significantly across age groups, and different patterns exert varying impacts on hospitalization costs. These findings underscore the necessity for age-stratified and multimorbidity pattern specific management strategies.
Humans ; Multimorbidity ; Male ; Hospitalization/economics* ; Female ; Aged ; Middle Aged ; Adult ; Age Factors ; Young Adult ; Adolescent ; Diabetes Mellitus/epidemiology* ; Electronic Health Records ; Aged, 80 and over ; Hospital Costs ; China/epidemiology* ; Hypertension/economics* ; Liver Diseases/epidemiology*

BACKGROUND AND OBJECTIVE

There are mixed reports on nurses’ satisfaction with electronic medical records (EMR) in literature, and facilitators and barriers to its adoption were reported frequently. A Philippine public tertiary hospital developed an EMR to facilitate remote access to patient charts outside its COVID-designated areas during the pandemic. This study aims to assess nurses’ satisfaction with EMR use in order to improve their user experience. The Delone and McLean Information System (D&M IS) Success Model was used as its framework. This offers a unique perspective to EMR adoption by accounting for the effects of the pandemic.

METHODS

A descriptive, cross-sectional, quantitatively driven, concurrent mixed-methods design was employed. Nurses from the hospital were recruited for the survey (n=353) and the focus group discussions (n=14). Ethical approval was obtained prior to its conduct. Analysis was done through descriptive statistics, multiple linear regression, and thematic analysis. Data were integrated to appreciate the differences in their experiences from the point of adoption up to their current experiences.

RESULTS

Nurses initially faced challenges with the EMR when it was introduced, but improvements and continuous use have led to their current high satisfaction. Despite mandatory use and high usage scores, some daily tasks are still done manually. Use, length of service, number of patients handled, designation, and area of assignment were found to be associated with satisfaction. Thematic analysis highlighted several adoption prerequisites in this setup, including assessment of user competence and experience, and the provision of training, structural necessities, and organizational support.

CONCLUSION

This study found high use and satisfaction scores, aligning with the D&M IS Success Model, despite initial adoption challenges. Recommendations include maintaining high EMR use and improving efficiency, communication, and collaboration. Emphasis was placed on the provisions of better training and continuous feedback gathering.

Human ; Electronic Health Records ; Health Information Systems ; Nurses ; Pandemics ; Philippines

OBJECTIVES: Accurate identification of risk factors for precocious puberty is essential for clinical diagnosis and management, yet the performance of natural language processing methods applied to unstructured electronic medical record (EMR) data remains to be fully evaluated. This study aims to assess the performance of a prompt engineering method for extracting individual risk factors of precocious puberty from EMRs. METHODS: Based on the capacity and role-insight-statement-personality-experiment (CRISPE) prompt framework, both simple and optimized prompts were designed to guide the large language model GLM-4-9B in extracting 10 types of risk factors for precocious puberty from 653 EMRs. Accuracy, precision, recall, and F1-score were used as evaluation metrics for the information extraction task. RESULTS: Under simple and optimized prompt conditions, the overall accuracy, precision, recall, and F1-score of the model were 84.18%, 98.09%, 81.99%, and 89.32% versus 97.15%, 98.31%, 98.16%, and 98.23%, respectively. The optimized prompts achieved more stable performance across age (<9 years vs ≥9 years) and visit-time (<2023 vs ≥2023) subgroups compared with simple prompts. The accuracy range for extracting each risk factor was 60.03%-97.24%, while with optimized prompts, the range improved to 92.19%-99.85%. The largest performance improvement occurred for "beverage intake" (60.03% vs 92.19%), and the smallest for "maternal age of menarche" (97.24% vs 99.23%). In comparing distributions among simple prompts, optimized prompts, and ground truth, statistically significant differences were observed for snack intake, beverage intake, soy milk intake, honey intake, supplement use, tonic use, sleep quality, and sleeping with the light on (all P<0.001), while exercise (P=0.966) and maternal menarche age (P=0.952) showed no significant differences. CONCLUSIONS Compared with simple prompts, optimized prompts substantially improved the extraction performance of individual risk factors for precocious puberty from EMRs, underscoring the critical role of prompt engineering in enhancing large language model performance.
Humans ; Puberty, Precocious/epidemiology* ; Risk Factors ; Electronic Health Records ; Female ; Child ; Natural Language Processing

BACKGROUND

Primary care for pediatric patients focuses on providing comprehensive, accessible, and coordinated healthcare from the neonatal period to adolescence. The implementation and use of electronic medical records (EMR) in pediatric primary care facilities is an efficient strategy to gather necessary information on the epidemiology of common pediatric diseases in the Philippines.

OBJECTIVES

This study aimed to determine the frequency distribution of pediatric diseases in a rural primary healthcare facility in the Philippines.

METHODS

This cross-sectional study reviewed the EMR of all pediatric patients who consulted in a primary care facility in Samal, Bataan from April 2019 to March 2021. Data gathered include sex, age in years, chief complaint, diagnosis, and month of consultation. Data was summarized using descriptive statistics.

RESULTS

A total of 14,462 pediatric consults were recorded from April 2019 to March 2021. There were slightly more male patients (52.1%). The mean age of the patients was 6.5 years (standard deviation 5.22). The highest number of consults came from the 1- to 4-year-old age group (41.5%). The most common chief complaints were cough (45.9%), fever (25.5%), and colds (24.9%). The most frequent diagnoses were upper respiratory tract infections (47.4%), followed by lower respiratory tract infections (6.9%), and skin and soft tissue infections (5.3%). Majority of the consults for respiratory tract infections, skin and soft tissue infections, gastroenteritis, asthma, and dermatitis were in the 1- to 4-year-old age group. Urinary tract infections and otitis media or externa were recorded more frequently in the 5- to 9-year-old age group.

CONCLUSIONS

Respiratory tract infections, followed by skin and soft tissue infections, were the most frequently identified diseases in children consulting a primary care facility at a rural site in the Philippines. The most common chief complaints, defined as the primary reason for seeking consult, were cough, fever, and colds. Data was gathered through EMR review, which may aid in the planning of programs and policies to improve primary care service delivery.

Electronic Health Records ; Electronic Medical Record

Background: Turnaround time is an integral component of primary healthcare and is a key performance indicator of healthcare delivery. It is defined as the time patients spend during a healthcare facility visit. In this study, turnaround time is defined as the time elapsed from registration to the end of consultation. Objectives: This study aimed to determine the turnaround time of consults in the primary care system in a rural site in the Philippines, and compare turnaround time during the pre-pandemic and COVID-19 pandemic periods. Methods: This is a retrospective cohort study of patients seen at the primary care facility under the Philippine Primary Care Studies (PPCS) rural site from April 2019 to March 2021. Patients included in this study were chosen through random sampling. Electronic medical records (EMR) of these patients were reviewed. Turnaround time was computed electronically from time of registration to end of consultation. Descriptive statistics was used to summarize data and report turnaround time. The turnaround time before and during the pandemic was compared using an independent sample t-test (if normally distributed) or Mann Whitney U test (if not normally distributed). A p-value of <0.05 was considered statistically significant. Results: A random sample of 342 patients out of the total 45,501 patient consults seen at the rural primary healthcare facility from April 2019 to March 2021 were included in this study. The median turnaround time was 29.0 minutes (interquartile range [IQR] 68.3), with range of 0.9 to 437.2 minutes. During the pre-pandemic period, the median turnaround time of consults is 29.3 minutes (IQR 70.4) which is 1.8 minutes longer than the pandemic period which showed median turnaround time of 27.5 minutes (IQR 72.7). The difference between the two time periods was not statistically significant (P = 0.39). Conclusion The study showed that the median turnaround time of medical consults was 29.0 minutes, which was shorter by 80 minutes compared to other published Philippine studies. The turnaround time did not differ significantly in the pandemic and prepandemic period, despite new policies and systems that were implemented during the pandemic.
primary care ; electronic medical records ; pandemic ; Philippines

Background and Objective: There are mixed reports on nurses’ satisfaction with electronic medical records (EMR) in literature, and facilitators and barriers to its adoption were reported frequently. A Philippine public tertiary hospital developed an EMR to facilitate remote access to patient charts outside its COVID-designated areas during the pandemic. This study aims to assess nurses’ satisfaction with EMR use in order to improve their user experience. The Delone and McLean Information System (D&M IS) Success Model was used as its framework. This offers a unique perspective to EMR adoption by accounting for the effects of the pandemic. Methods: A descriptive, cross-sectional, quantitatively driven, concurrent mixed-methods design was employed. Nurses from the hospital were recruited for the survey (n=353) and the focus group discussions (n=14). Ethical approval was obtained prior to its conduct. Analysis was done through descriptive statistics, multiple linear regression, and thematic analysis. Data were integrated to appreciate the differences in their experiences from the point of adoption up to their current experiences. Results: Nurses initially faced challenges with the EMR when it was introduced, but improvements and continuous use have led to their current high satisfaction. Despite mandatory use and high usage scores, some daily tasks are still done manually. Use, length of service, number of patients handled, designation, and area of assignment were found to be associated with satisfaction. Thematic analysis highlighted several adoption prerequisites in this setup, including assessment of user competence and experience, and the provision of training, structural necessities, and organizational support. Conclusions This study found high use and satisfaction scores, aligning with the D&M IS Success Model, despite initial adoption challenges. Recommendations include maintaining high EMR use and improving efficiency, communication, and collaboration. Emphasis was placed on the provisions of better training and continuous feedback gathering.
Human ; electronic health records ; health information systems ; nurses ; pandemics ; Philippines