OBJECTIVES

Timely access to appropriate levels of care is essential for improving maternal, newborn,
and child health outcomes. To address persistent service delivery fragmentation and strengthen referral systems, the Philippine Department of Health issued Administrative Order 2020-0019 to guide the design of Health Care Provider Networks (HCPNs) under the Universal Health Care Act of 2019. This study assessed the extent to which sixteen municipalities across four provinces in Eastern Visayas comply with the HCPN service delivery guidelines in the context of maternal and newborn care.

METHODS

The study employed a descriptive cross-sectional mixed-methods design, utilizing structured facility checklists to assess compliance with HCPN standards. Qualitative data were gathered through key informant interviews and focus group discussions with purposively selected stakeholders—decision makers, health personnel, and mothers—to contextualize findings. A three-lever framework for integrated care (policy, operational, and cross- cutting) guided the analysis

RESULTS

The findings revealed significant gaps between the current capacities of study health facilities and the requirements outlined in the HCPN guidelines. Major gaps included (1) weak cooperative governance mechanisms to support network-wide coordination; (2) limited systematic linkages between facilities, including fragmented referral protocols and non-interoperable health information systems; (3) inadequate investments in infrastructure, health human resources, and medical commodities; and (4) absence of performance monitoring systems across HCPNs.

CONCLUSION

 

Human ; Information Systems ; Occupational Groups ; Referral And Consultation ; Universal Health Care ; Delivery Of Health Care

BACKGROUND AND OBJECTIVE

In 2018, the Philippine Congress passed the Universal Healthcare (UHC) Law and its implementing rules which mandated the enrollment of all Filipinos to PhilHealth, the national social health insurance corporation. The Department of Health (DOH) and PhilHealth will leverage their strategic purchasing power by affiliating Health Care Provider Networks (HCPNs), established within the geopolitical boundaries of a province or a highly urbanized city, through service level agreements. This study aims to shed light on what is expected from providers, payers, and regulators to implement UHC successfully.

METHODS

The researchers conducted an inductive, content analytic qualitative study guided by the World Health Organization’s (WHO) Building Blocks Framework to determine the understanding and acceptance of the implementing rules of the UHC Law and the perceived barriers and enablers from the provider, payer, and regulator stakeholders in three provinces in the Philippines. Purposive sampling was utilized to provide the best representation across different economic and physical settings. A content analysis was done through an inductive process of coding concepts, which was the basis for categories grouped and matched deductively with the WHO framework. This formed the broader sub-themes and were used for the final data interpretation.

RESULTS

A total of 16 focus group discussions (FGDs) and nine in-depth interviews (IDIs) were performed with 84 participants. Inductive thematic analysis of categories and subcategories showed that the participants support the goals and objectives of the UHC Law. Still, perceived barriers refer to the lack of and improper use of funds, the need to clarify the implementing guidelines, and the role of politics. The participants indicated that solidarity and social connectedness with health system adaptability and resilience are enablers for the success of UHC reforms.

CONCLUSION

Proposals to mitigate the barriers include expanding the funding source, clarifying rules on the f inancial management system, and providing guidelines on health delivery integration to ensure access to patient care. Decentralization with autonomy will allow the stakeholders to align health programs with local needs. Proper representation in decision-making bodies is desirable to establish strong community involvement and solidarity. Resilience and adaptability based on a feedback loop are imperative.

Human ; Universal Health Care ; Health Financing ; Healthcare Financing ; Philippines

OBJECTIVES

This study determined the prevalence of BBD among toilet-trained children attending a tertiary hospital’s pediatric outpatient clinic, and to evaluate the effectiveness of standard urotherapy among affected children.

METHODS

A prospective interventional study was conducted among 144 toilet-trained children aged 7 to 12 years seen at the University of Santo Tomas Hospital outpatient clinic from August 2025 to September 2025. Sociodemographic data were collected, and BBD was screened using the validated Filipino version of the Dysfunctional Voiding Symptom Scores (DVSS) questionnaire. Children with BBD underwent standard urotherapy, which included behavioral and lifestyle interventions such as timed voiding, adequate hydration, constipation management and proper voiding posture. DVSS assessments were repeated at two and four weeks.

RESULTS

The overall prevalence of BBD was 22.9% (33 of 144). BBD was significantly more prevalent among females (31.88%) than males (14.67%) (adjusted OR = 2.96, 95% CI: 1.28–6.86; p = 0.011). At baseline, children with BBD had significantly higher mean total DVSS scores (9.15 ± 3.64) compared to those without (2.01 ± 1.80, pCONCLUSION

Standard urotherapy proved effective in reducing symptom scores within two weeks and resulted in complete clinical resolution after four weeks among those who continued therapy. Routine screenings for BBD using DVSS and early initiation of standard urotherapy in pediatric outpatient settings are recommended to prevent complications and improve children’s urinary and bowel health.

Human ; Child: 6-12 Yrs Old ; World Health Organization ; Outpatient Clinics, Hospital ; Mass Screening ; Tertiary Care Centers ; Constipation ; Ambulatory Care Facilities

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Human ; Universal Health Care ; Rural Health ; Delivery Of Health Care ; Health Services Needs And Demand ; Health Facilities ; Algorithms ; Back

OBJECTIVES

Clinical pathways (CPs) ensure adherence to heart failure (HF) management guidelines. To optimize quality care in a low resource setting, an evidence-based care pathway for the management of acute HF was implemented at the emergency department (ED) of the Philippine General Hospital (PGH), the designated national tertiary hospital and referral center. This study aimed to describe the characteristics of adults with acute HF admitted at the ED and evaluate the quality of care they received, measured using physician adherence to the hospital’s acute heart failure CP.

METHODS

This was a retrospective, descriptive cohort study. We reviewed the inpatient charts of all adult patients with acute HF admitted to the ED of the PGH and referred to the Division of Cardiovascular Medicine between December 1, 2022 and May 31, 2023. Quality of care was assessed based on adherence to quality indicators adapted from routine and conditional order sets detailed in the pathway. Descriptive statistics was utilized to describe patient characteristics, quality of care, and outcomes.

RESULTS

Two hundred thirty-six (236) patients were included, with a mean age of 51.8 years. Majority were male (53.4%); hypertension (61.4%) and ischemic heart disease (53.8%) were the most common comorbidities, and infection the most common precipitant of decompensation (60.6%). There were optimal adherence rates to routine orders, which included referrals to Internal Medicine and Cardiology, baseline vital signs monitoring, fluid intake and output monitoring, chest radiograph, complete blood count, blood urea nitrogen, sodium, potassium, prothrombin time, partial thromboplastin time, arterial blood gas, urinalysis, and N-terminal pro b-type natriuretic peptide. Conditional orders, such as oxygen support, focused echocardiography, thyroid - stimulating hormone, and the use of vasopressors, diuretics, and venous thromboembolism prophylactic agents, were optimally performed when warranted. However, we noted suboptimal adherence to certain resource-intensive conditional orders, such as hourly monitoring of urine output (61.4%), hooking to cardiac monitor (53.8%), and performance of 12-lead ECG within 10 minutes (56.8%). Further, only 43.9% of patients were referred to the intensive care unit. Troponin I, calcium, magnesium, and albumin were ordered in excess.

CONCLUSION

Overall adherence rate of physicians to the hospital’s Acute Heart Failure Pathway was satisfactory. Work is needed to improve adherence to hourly urine output monitoring, consistent hooking to cardiac monitor, and timely performance of 12-lead ECG – an effort that begins with expanding in-hospital diagnostic equipment and human resource supply. We recommend continuous pathway implementation with periodic evaluation and stakeholder feedback to further improve quality of care.

Human ; Male ; Female ; Middle Aged: 45-64 Yrs Old ; Adult ; Albumins ; Blood ; Blood Urea Nitrogen ; Calcium ; Cardiology ; Chart ; Charts ; Cohort Studies ; Critical Care ; Critical Pathways ; Diagnostic Equipment ; Disease ; Diuretics ; Echocardiography ; Electrocardiography ; Emergencies ; Emergency Service, Hospital ; Equipment And Supplies ; Evaluation Studies As Topic ; Feedback ; Heart ; Heart Diseases ; Heart Failure ; Hormones ; Hospitals ; Hospitals, General ; Humans ; Hypertension ; Indicators And Reagents ; Infection ; Infections ; Inpatients ; Intensive Care Units ; Internal Medicine ; Lead ; Magnesium ; Male ; Medicine ; Myocardial Ischemia ; Natriuretic Peptide, Brain ; Natriuretic Peptides ; Nitrogen ; Overall ; Oxygen ; Partial Thromboplastin Time ; Patients ; Peptides ; Philippines ; Physicians ; Potassium ; Prothrombin ; Prothrombin Time ; Quality Of Health Care ; Referral And Consultation ; Sodium ; Statistics ; Tertiary Care Centers ; Thorax ; Thromboembolism ; Thromboplastin ; Thyroid Gland ; Time ; Troponin ; Troponin I ; Universities ; Urea ; Urinalysis ; Urine ; Venous Thromboembolism ; Vital Signs ; Work ; Workforce

Workforce ; Delivery Of Health Care ; Healthcare

BACKGROUND AND OBJECTIVE

The Philippine Package of Essential Noncommunicable Disease Interventions (PhilPEN) was introduced by the Department of Health through AO 2012-0029. This is anchored to WHO PEN, a prioritized set of cost-effective interventions that can be carried out to provide an acceptable standard of care at the primary health care level, even in low-resource settings. The study aims to evaluate the availability and adequacy of primary health care facilities in providing the PhilPEN package of interventions using the WHO assessment tool.

METHODS

A cross-sectional survey was conducted in 25 randomly selected primary health care facilities in Metro Manila. Data were collected through structured interviews with facility staff and direct observation using a standardized questionnaire aligned with PhilPEN and WHO PEN guidelines. The tool assessed PhilPEN inputs (infrastructure, human resources, basic tools and equipment, essential medicines, record-keeping, financing) and services (risk assessment and screening, early diagnosis and monitoring, treatment and follow-up, counseling, referral of patients).

RESULTS

All facilities met the basic standards for infrastructure, human resources, record keeping, and financing. However, only 40% had all essential medicines, and just 16% had complete tools, including urine ketone/protein test strips. Risk assessment and patient counseling were consistently implemented, but early diagnosis and follow-up services were inconsistent due to training and supply gaps.

CONCLUSION

Primary health care centers in Metro Manila demonstrate partial readiness for PhilPEN implementation. Gaps in tools, medicines, and protocol availability should be addressed to optimize NCD service delivery.

Human ; Primary Health Care ; Noncommunicable Diseases ; Delivery Of Health Care ; Standard Of Care ; Cardiovascular Diseases

Introduction: Insulin therapy is essential in the management of type 2 diabetes mellitus (T2DM), but is often associated with treatment burden, hypoglycemia, and potential overtreatment. Insulin deintensification is increasingly recommended for appropriately selected patients; however, there is limited real-world evidence to guide patient selection and to identify modifiable factors that influence successful insulin deintensification. This study aimed to identify clinical predictors, including modifiable factors, associated with successful insulin deintensification in a primary care setting. Methodology: A multicentre retrospective observational study was conducted across seven government primary care clinics in the Petaling District. Adult patients with T2DM undergoing insulin deintensification were included. Successful insulin deintensification was defined as maintenance or improvement of hemoglobin A1c following insulin discontinuation, dose reduction, or reduction in injection frequency. Paired outcomes were analyzed using the Wilcoxon signed-rank test. Between-group comparisons were performed using the Mann–Whitney U test and Chi-square or Fisher’s exact test. Multivariable logistic regression was used to identify independent predictors of successful insulin deintensification. Results: A total of 261 patients were included. Glycemic control remained stable following insulin deintensification (p = 0.334). Significant reductions in body weight (−0.41 kg, p = 0.012) and total daily insulin dose (23.1% reduction, p <0.001) were observed. Univariate analysis did not demonstrate significant differences between groups. However, multivariable logistic regression identified SGLT-2 inhibitor use (aOR 3.23, 95% CI 1.28–8.18, p = 0.013) and regular SMBG (aOR 2.00, 95% CI 1.05–3.81, p = 0.035) as independent predictors of successful insulin deintensification. Conclusion Insulin deintensification can be successfully implemented without compromising glycemic control. Identified predictors, including modifiable factors such as SGLT-2 inhibitor use and SMBG, provide clinically actionable insights to guide patient selection and treatment optimization. These findings challenge the traditional reluctance toward insulin deintensification and support a more evidence-based and individualized approach in routine clinical practice.
Primary Health Care ; Insulins

Introduction: The increasing prevalence of diabetes represents a significant global health challenge. Modifiable risk factors, including physical inactivity, unhealthy dietary habits, and obesity contribute substantially to this rising burden. In conjunction with the 2025 World Diabetes Day (WDD) campaign focusing on “diabetes and the workplace,” we assessed diabetes risk among healthcare workers in our hospital using the Modified Asian Finnish Diabetes Risk Score (ModAsian FINDRISC). Methodology: Healthcare workers from various departments were invited to participate in the hospital WDD celebration. A total of 286 attendees underwent anthropometric measurements and completed the ModAsian FINDSRIC questionnaire. Descriptive statistics were used to summarize the prevalence of risk factors and overall diabetes risk. Results: The participants included doctors, nurses, allied healthcare professionals, as well as hospital support and administrative staff. The majority of participants (74.8%) were aged below 45 years. 39.2% were overweight while 30.8% were obese. One-third (37.4%) had increased waist circumference (WC) (≥90 cm for men, ≥80 cm for women). Additionally, 20% of respondents reported being on antihypertensive medication, and 23.8% had previously recorded high blood glucose. A family history of diabetes mellitus (DM) was reported by 62.6% of respondents. Additionally, about onethird were sedentary with less than 30 minutes of daily exercise or physical activity, another one-third did not consume fruits or vegetables on a daily basis. The median ModAsian FINDRISC score was 8, with approximately 30% of them classified as having moderate to very high risk of developing DM (moderate: 17.5%; high: 10.8%; very high: 2.8%). Conclusion These results revealed high metabolic risk in healthcare workers and highlight the need for targeted workplace health promotion strategies to reduce the risk of developing diabetes.
Tertiary Care Centers ; Health Personnel ; Diabetes Mellitus

Introduction: Insulin deintensification is an emerging strategy to reduce hypoglycemia and treatment burden in patients on multiple daily injection (MDI ≥3), with potential to improve adherence and glycemic control. However, evidence in poorly controlled type 2 diabetes mellitus (T2DM) remains limited. This study evaluated its effectiveness and identified factors associated with achieving adequate glycemic control following deintensification among patients with poorly controlled T2DM attending Malaysian primary care. Methodology: A retrospective cohort study was conducted among 107 T2DM patients with hemoglobin A1c (HbA1c) >9%, attending Enhanced Diabetic Clinic at Cheras Health Clinic between 2021 and 2025. All patients on basal-bolus insulin (BBI) underwent deintensification. Multivariate logistic regression was performed to identify factors associated with achieving adequate glycemic control (HbA1c <7.5%). Changes in HbA1c following deintensification were assessed using paired t-tests. Results: Overall, 50.5% of patients achieved adequate glycemic control. Hypoglycemia events (AOR 9.5, 95% confidence interval [CI] 1.6–58.3; p = 0.015), MDI (AOR 9.6, 95% CI 1.4–67.1; p = 0.023) and Diabetes Medication Therapy Adherence Clinic (DMTAC) visits (AOR 1.1, 95% CI 1.0– 1.2; p = 0.039) were significantly associated with achieving HbA1c <7.5%. Conversely, patients transitioned from BBI to premixed regimens were less likely to achieve HbA1c <7.5% (AOR 0.22, 95% CI 0.05–0.93, p = 0.039). All insulin deintensification strategies were associated with significant HbA1c improvements with transitioned from BBI to premixed human insulin (mean difference -2.54%, 95% CI 1.77–3.31, p <0.001, Cohen’s d = 1.09), BBI to premixed analogue insulin (mean difference -3.38%, 95% CI 2.26– 4.49, p <0.001, Cohen’s d = 1.62), BBI to basal insulin (mean difference -3.67%, 95% CI 1.79–5.54, p = 0.004, Cohen’s d = 2.05). Conclusion Insulin deintensification is an effective strategy for improving glycemic control in poorly controlled T2DM. These findings highlight the importance of deintensification with careful consideration of hypoglycemia, MDI-related treatment burden, and patient engagement through regular DMTAC visits, which are integral to achieving optimal outcomes and support a personalized approach to diabetes management in primary care.
Diabetes Mellitus, Type 2 ; Glycemic Control ; Retrospective Studies ; Primary Health Care ; Insulins