Walking through the wards of a crowded public hospital and seeing suffering and tragedy from easily preventable conditionsmakes one wonder what it takes for a facility to change the outcomes. The evidence is there, and guidelines have beendeveloped from it; yet practices remain difficult to change—whether in screening, prevention, treatment, or rehabilitation.

Recently, the Department of Health has put up a compendium of clinical practice guidelines (CPG) crafted accordingto the standards set by the Manual for Clinical Practice Guideline Development of DOH-Philhealth.Guidelines stipulatethat dissemination and implementation be considered, and applicability issues are discussed. The uptake of the guidelinesshould be evaluated, and facilitators and barriers should be identified. Thus, there is a need for implementation andapplicability studies to assess how effective guidelines are. For breast cancer, the Philippine Guidelines were published in 2022and updated in 2026.Identified as barriers against implementation are financial constraints and out-of-pocket costs. Actahas since responded to these concerns by publishing articles on financing cost assessment, and in this issue, by Mondragonand co-authors, an “Assessment of Out-of-Pocket Expenditure of HER2-Positive Breast Cancer Patients in a Tertiary CancerCenter and Private Clinics in the Philippines.”

These types of studies are necessary in the translation of evidence to practice, allowing organizations to adopt, scale,and sustain recommendations to real-world settings.

Where CPGs on malnutrition cite resource constraints as the only significant barrier for implementation, the article byde Luna and co-authors on the “A Qualitative Program Evaluation Study on the Perceived Impact of Health and NutritionPrograms among Beneficiaries of a Civil Society Organization in the Philippines” in this issue of the Acta add fear ofsustainability by families and competition from readily accessible instant food of poor nutritional value as barriers in implementingsuch programs.

These studies help us go beyond information dissemination of evidence-based practice to create pathways for impactfulintegration of recommended interventions. Implementation studies sharpen our analysis and focus our efforts on strategies thatcan help pilot, roll out, and scale up guidelines.

New modalities to carry out recommendations can also be part of how guidelines are implemented in the communitysetting. Where the Philippine Academy of Rehabilitation Medicine (PARM) recommends early home-based rehabilitation,the Stroke Society of the Philippines recommends telerehabilitation to augment the efforts of care providers.The articleby Laxamana and co-authors in this issue on “The Acceptance of Stroke Telerehabilitation among Rehabilitation Providersand Consumers in Two Tertiary Hospitals in the Philippines” not only identifies but also provides suggestions to addressimplementation barriers.

We support and encourage articles on implementation science. These works provide tools to convert evidence into outcomes.These transform organizations and help us accomplish meaningful, lasting structural change that should come withoutany delay to provide relief to our patients in our crowded public wards.

BACKGROUND AND OBJECTIVE

Access to healthcare remains a challenge in most areas in the Philippines. Fifty-three percent (53%) of the Philippine population do not have access to a rural health unit (RHU) within a 30-minute travel t ime. As a response, the Department of Health (DOH) needs to construct an additional 2400 RHUs by 2025. This paper uses the Philippine Health Facility Development Plan 2020-2040 (PHFDP) as a reference to present a solution for locating sites for RHU placement in under-served areas using neural networks to meet the 30-minute travel time by maximizing population accessibility.

RHU accessibility was measured using geographic attributes as inputs to a back propagation neural network (BPNN) and a recurrent neural network (RNN): (1) land coverage and hazard data, representing geographical limitations; (2) population density and distribution, indicating demand for healthcare services; and (3) infrastructure-related features, such as road networks, points of interest, and the locations of existing RHUs, which influence healthcare accessibility. The models were trained to identify underserved areas and were implemented on a nationwide scale, excluding NCR, to locate candidate areas to increase population access to the new RHUs. The models were validated using a healthcare facility accessibility index (HCFAI) to assess RHU coverage improvement.

The BPNN showed stronger generalization across regions, achieving 79.1% average accuracy in distinguishing low from high accessible areas on Region 1 and identifying 1668 out of 3305 locations in the region as candidate sites. The RNN, better capturing unique regional characteristics, required separate training: 77.2% average accuracy on Region 1, identifying 1593 candidate sites. Our findings suggest expanding the use of land improves population access to healthcare facilities. Both models found more than the needed number of RHUs by 2040. The BPNN was more consistent than RNN to improve a region’s overall accessibility by increasing the HCFAI. The BPNN can increase population access to an RHU from 2.5-98.5% from its original population with access to an RHU.

The study demonstrates the usage of geographic attributes and neural networks to improve healthcare accessibility. The BPNN and RNN are adequate algorithms to find under-served areas and candidate sites for RHU construction to maximize population accessibility. The HCFAI metric validates the locations to highlight which neural network maximizes more of the region’s populat ion. The study contributes to ongoing efforts to improve healthcare infrastructure and accessibility, offering datadriven recommendations for RHU locations.

BACKGROUND

Access to prison healthcare and healthcare equity remains poorly understood in the Philippines. With Philippine jail health systems subjected to budgetary restrictions, optimization of efficient mechanisms in healthcare delivery is warranted. This makes understanding how PDLs’ utilization to healthcare services more relavant and of high importance.

This study sought to determine healthcare accessibility and explored what influences healthcare access by Persons Deprived of Liberty (PDLs). Additionally, the study looked into whether healthcare was equally accessible to different PDL subgroups.

A descriptive-correlational design was employed in recruiting 261 PDLs utilizing stratified random sampling in two jail facilities in Dumaguete City from May to June 2023. Data on healthcare accessibility and availability from self-report survey questionnaires were analyzed using SPSS version 25.

Hierarchical linear regression analysis shows that, collectively, predisposing factors (age, sex) F=200.82, enabling resources (availability of health services) F=52.52, and perceived needs (physical activities, sleep, diet, and mental health) F=30.24 significantly predict healthcare accessibility, having the availability of healthcare services as the strongest predictor with an R2 change of 43.7% followed by percieved needs (3.9%) and predisposing factor (1.4%), respectively. Furthermore, ordinal logistic regression analysis shows that healthcare by age groups 18-34 (OR=0.379) and 35-54 (OR=0.449) are less likely to be available and accessed than those aged 55 and above. Additionally, availability and accessibility of healthcare are less likely for males (OR=0.24) than females while PDLs with average physical activities (OR=0.87), good (OR=50.7) to average sleep (OR=27.4), and average mental health (OR=0.35) have higher odds of availing and accessing healthcare than their poor counterparts.

These findings indicate that PDLs tend to access healthcare services based predominantly on availability rather than their desired needs warranting strategies that allow catering to a wide range of health needs in PDL subgroups which ultimately lead to better prison health outcomes.

A singular medical incident can alert health officials to an emerging, if not widespread, but possibly undetected publichealth concern.

Our issue contains a remarkable case of a ruptured hepatic abscess in a 3-year-old, which turned out to be MethicillinresistantStaphylococcus aureus (MRSA) by authors Torrico and Tarnate.The concern is that the infection is communityacquired,and the patient was immunocompetent. This sounds the alarm for the occurrence of antimicrobial resistance (AMR)in the communities and calls for a response from health authorities to investigate, analyze, and propose solutions for sucha sentinel event.

We need to support these efforts and, in this issue, we publish such work from our investigators. Antimicrobial resistanceis an urgent global health concern.The impact is magnified in low to middle-income countries where health risks are high,and health infrastructure is weak. Thus, it is imperative that determinants of AMR are scrutinized to allow crafting offocused strategies to combat the problem.

The article by Dela Cruz and Hernandez on the prevalence and practices of antibiotic misuse among adult residents ofRodriguez, Rizal, contributes to this analysis.The paper reveals a disturbing prevalence of self-medication and identifiesbarriers to accessing proper health education and care. This is a global problem, and the paper from Brazil relates the observationof community pharmacists of antibiotic misuse to the rise of antimicrobial resistance.

Dela Cruz and Hernandez recommend stricter antibiotic regulation, and this falls squarely into the scope of concernof another article in this issue, the “Research Needs in Philippine Pharmaceutical Sciences: A Qualitative Perspective fromRegulatory and Clinical Research Sectors of the Pharmaceutical Industry” by Pena and co-authors.Interestingly, whiledrug registration and clinical trials were the focus of the paper, it may be a desired expansion of the regulatory reach of theindustry to temper the use of antibiotics as it is being dispensed to end users.Antimicrobial stewardship involves ethicalpromotion of use and equitable access to appropriate treatment, and these concerns require the responsible participation of thepharmaceutical industry.

Health challenges are complex. The analysis of these challenges requires surveillance of literature for sentinel events, useof community-based research to investigate phenomena, and system mapping to identify relevant sectors to improve strategyand to involve relevant stakeholders.

We support this type of scholarship, which seeks to expand the focus from isolated clinical interventions towards placinga spotlight on relevant work that will lead to impactful reform of broad health ecosystems.

Introduction: Type I diabetes mellitus (T1DM) is the most common form of diabetes diagnosed in childhood. The Diabetes in Children and Adolescents Registry (Di-CARE) in Malaysia reported that many of these patients are between 10 and 19 years old. However, little is known about the association of their health literacy and numeracy with their glycemic control. Methodology: A cross-sectional study among T1DM patients aged 12 to 19 years old who attended Paediatric Endocrine Clinic at Hospital Tunku Ampuan Besar Tuanku Aishah Rohani and Hospital Tunku Azizah was conducted from March 2025 to March 2026. Participants answered 14 questions on the Diabetes Numeracy Test (DNT-14) and completed a 29-item health literacy questionnaire (myMOHLAA-Q). Data analysis was performed using SPSS version 30. The relationship of health literacy and numeracy with glucose control (HbA1c) was analyzed using Spearman’s rank order correlation. Results: A total of 43 adolescents with T1DM were recruited with a median age of 15.2 years (IQR: 13.2–17.2 years). There were 22 female (51.2%) and 21 male (48.8%) participants. The majority of the participants (n = 27, 62%) had moderate glycemic control with a median HbA1c of 8.3% (IQR: 7.5–9.6%). A Spearman’s correlation revealed a negative relationship between mean HbA1c and knowledge on blood glucose monitoring, rs (43) = −0.34, p <0.05. Additionally, positive relationships were found of knowledge on blood glucose monitoring and knowledge on insulin with total DNT-14 score, rs (43) = 0.54, p <0.001 and rs (43) = 0.78, p <0.001, respectively. The small sample size may have limited the ability to detect other significant relationships. Conclusion The majority of T1DM adolescents have moderate glycemic control. Active intervention in improving knowledge on blood glucose monitoring and insulin helps to improve glycemic control, reiterating the importance of diabetes education in the long-term management and glycemic control in adolescents with type 1 diabetes.
Adolescent ; Humans ; Diabetes Mellitus, Type 1 ; Glycemic Control ; Health Literacy

BACKGROUND AND OBJECTIVE

Proper documentation of patient safety events is important to be able to provide changes that can prevent events from occurring again. The Philippine General Hospital launched an online platform for reporting patient safety events in 2017. This paper aimed to describe the patient safety events, initial response to the event, and preventive actions done in the institution.

This is a retrospective descriptive study of patient safety event records from August 2017 to April 2022. General data of the patients, details surrounding the events, response to the event, and preventive measures done after the event were documented. Descriptive analysis was performed.

There was a total of 625 events reported with 525 total unique reports. There was an increased rate of patient safety event reports from 2021 to 2022. The average rate was 23.8 and 25.7 reports per month, respectively. Most reports were for in-patient cases and were type 3 preventable adverse events. The general initial response of healthcare personnel to the adverse events is to provide the appropriate clinical care. Preventive measures include re-orientation and event specific actions.

Documentation is crucial for patient safety events to provide solutions and prevent reoccurrence of these events that can cause harm to patients.

OBJECTIVES: Older adults in rural areas with multiple chronic conditions (MCC) generally exhibit poorer medication adherence than the general elderly population. Considering individual heterogeneity helps to design precise subgroup-based interventions. This study aims to identify latent profile types of medication adherence mechanisms among rural older adults with MCC based on the capability-opportunity-motivation-behavior (COM-B) model, and to explore factors influencing medication adherence. METHODS: A multistage sampling method was used to recruit 349 rural older adults with MCC from 10 administrative villages in Jianghua County, Yongzhou City, Hunan Province, between July and September, 2024. Participants were surveyed using a general information questionnaire, the Health Literacy Scale for Chronic Patients, the Beliefs about Medicines Questionnaire-Specific, the Multidimensional Scale of Perceived Social Support, and the Morisky Medication Adherence Scale. Latent profile analysis based on the COM-B model was conducted to identify subgroups of medication adherence mechanisms. Univariate and Logistic regression analyses were used to identify influencing factors associated with different latent profiles and adherence levels. RESULTS: Among the participants, 33.5% demonstrated good medication adherence. The 5 most prevalent chronic diseases were hypertension (86.5%), diabetes (36.7%), arthritis or rheumatism (34.4%), stroke (21.8%), and heart disease (17.5%). Overall, rural older adults with MCC exhibited relatively good medication capability, opportunity, and motivation. Their medication adherence mechanisms were classified into 3 latent profiles: "family-support restrained type" (5.2%), "family-support driven type" (52.1%), and "comprehensive advantage type" (42.7%). Significant differences were observed among the three profiles in terms of education level, marital status, living arrangement, and per capita monthly household income (all P<0.05). Multivariate Logistic regression revealed that higher education level was a protective factor for belonging to the "comprehensive advantage type" rather than the "family-support driven type" [OR=0.277, 95% CI (PL) 0.126 to 0.614, P=0.002]. Furthermore, significant differences in education level, self-rated health status, and latent profile type were found between participants with good and poor adherence (P<0.05). Binary Logistic regression indicated that with each one-level increase in self-rated health status, the risk of poor adherence increased by 293.9% [OR=3.939, 95% CI (PL) 1.610 to 9.636, P=0.003]. Compared with the "family-support restrained type", individuals classified as the "comprehensive advantage type" had a 96.8% [OR=0.032, 95% CI (PL) 0.008 to 0.123, P<0.001] lower risk of poor medication adherence. CONCLUSIONS The mechanisms underlying medication adherence among rural older adults with MCC show clear heterogeneity. Primary healthcare providers should focus on the "family-support restrained type" subgroup, strengthen social support networks, and implement targeted interventions to improve medication adherence.
Humans ; Aged ; Rural Population ; Male ; Female ; China ; Medication Adherence/psychology* ; Surveys and Questionnaires ; Chronic Disease/drug therapy* ; Multiple Chronic Conditions/drug therapy* ; Social Support ; Motivation ; Middle Aged ; Health Literacy ; Aged, 80 and over

Humans ; Uterine Cervical Neoplasms/pathology* ; Female ; Patient Care Team ; Consensus ; China ; Neoplasm Staging ; Combined Modality Therapy ; Quality of Life ; Neoplasm Recurrence, Local/therapy* ; East Asian People

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

BACKGROUND: The demand for aged-care services in Japan has surged due to the country's aging population. Furthermore, nationwide survey on the current state of aged-care services revealed that the primary reason for the resignation of women working in these sectors was poor interpersonal relationships. Moreover, given that women working in aged-care services work in shifts around the clock to manage the health and safety of the people in their care, they are at high risk of health-related issues including insomnia symptoms. Thus, we aim to examine the association between levels of satisfaction with interpersonal relationships (LSIR) and insomnia symptoms for women working in aged-care services in Japan, as well as the effect of work-life imbalance on the association between LSIR and insomnia symptoms. METHODS: In this cross-sectional study, the participants were 472 women aged 18-60 years who worked in aged-care services in Japan in 2014-2016. Insomnia symptoms were measured using the Athens Insomnia Scale, and scores of 6 or greater indicated the presence of insomnia. LSIR were assessed through self-administered questionnaires and evaluated at three levels. The association between LSIR and insomnia symptoms was evaluated using a multinominal logistic regression model. Path analysis was used to examine the potential effects of LSIR on insomnia symptoms by incorporating covariates such as work-family conflict, marital status, and depressive symptoms. RESULTS: Compared to high LSIR, the multivariable-adjusted odds ratios (95% confidence interval) of insomnia symptoms were respectively 1.36 (0.81-2.30) and 2.42 (1.11-5.23) for medium and low LSIR. The path analysis showed that low LSIR were significantly associated with having high work-to-family (W-to-F) conflict and being single. CONCLUSIONS Low LSIR were significantly associated with insomnia symptoms among women working in aged-care services in Japan. High W-to-F conflict exacerbated this relationship. Therefore, enhancing interpersonal relationships may be necessary for preventing insomnia. However, due to the cross-sectional nature of our study, causality cannot be inferred. Further longitudinal research is needed to better understand these associations.
Humans ; Japan/epidemiology* ; Sleep Initiation and Maintenance Disorders/psychology* ; Female ; Middle Aged ; Adult ; Cross-Sectional Studies ; Interpersonal Relations ; Young Adult ; Adolescent ; Personal Satisfaction ; Health Services for the Aged/statistics & numerical data*