Effective discharge planning is crucial for ensuring safe transitions and sustained occupational participation as clients transition from professional care to their desired community settings. Despite its importance, current discharge practices in occupational therapy remain inconsistent, often relying on informal communication, variable team coordination, and unstructured decision-making. These gaps contribute to client–caregiver unpreparedness, fragmented services, and increased readmissions. This manuscript presents the Building Rehabilitation Into Discharge Goals and Engagement (BRIDGE) Framework, a client-centered, occupation-focused conceptual model designed to structure and support the discharge planning process in occupational therapy.

The BRIDGE framework was developed through an iterative process of literature review, theoretical grounding, and integration of clinical experience. It synthesizes principles from the Canadian Practice Process Framework, Person–Environment–Occupation frameworks, the Kawa Model, and Bioecological Systems Theory. The framework outlines six discharge planning steps, ranging from goal and timeline setting to follow-up and monitoring, supported by four foundational pillars: patient and family factors, occupational therapy factors, interdisciplinary team factors, and environmental or system influences. Together, these components provide a comprehensive guide for clinical reasoning, collaborative planning, caregiver preparation, and transitional support.

The framework clarifies the role of occupational therapy, enhances interprofessional coordination, and promotes consistent transition planning. Future work should include empirical testing, case-based application, and population-specific adaptations.

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.

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).

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.

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.

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: 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

BACKGROUND : Diabetic retinopathy (DR) is a leading cause of preventable blindness. However, Indonesia lacks a comprehensive screening program. Artificial intelligence (AI)-assisted screening in primary health care (PHC) is a promising solution. Patient satisfaction is crucial for ensuring the participation and sustainability of such programs. This study aimed to adapt Indonesian version of evaluate client satisfaction questionnaire-18 (CSQ-18) and evaluate its acceptability. METHODS : This study was conducted from August 5–29, 2024 at 2 public PHCs in Jakarta. Patients with diabetes underwent DR screening, which included fundus photography and an AI-based grading system (RADR). Referable cases were graded secondarily by ophthalmologists. Satisfaction was assessed from November 10–20, 2024 using the Indonesian-translated CSQ-18, adapted through forward-backward translation, expert review, and pilot testing. Reliability was assessed using Cronbach’s alpha, validity was evaluated using Pearson’s correlation, and satisfaction scores were summarized as descriptive statistics. RESULTS : Of 300 selected participants, 216 completed telephone or in-person interviews. The Indonesian CSQ-18 demonstrated a strong internal consistency (Cronbach’s alpha = 0.886). All items showed acceptable item-total correlations. The mean (SD) satisfaction score was 60.19 (5.50) of 72, with a median of 59, indicating high patient satisfaction. Most participants expressed positive perceptions of screening duration, accessibility, and provider competence, although awareness-related items scored slightly lower. Potential interviewer bias and nonresponse may have affected the findings. CONCLUSIONS The Indonesian CSQ-18 is a reliable tool for assessing patient satisfaction with DR screening. These findings confirm the feasibility and acceptability of AI-assisted DR screening at the PHC level, supporting its potential for broader implementation in Indonesia.
artificial intelligence ; diabetic retinopathy ; patient satisfaction ; primary health care ; surveys and questionnaires

Public health nurses (PHNs) in the Philippines play a vital role in advancing Universal Health Care and Primary Health Care by serving as frontline leaders in community engagement, health promotion, and policy implementation. Despite their contributions, they face persistent challenges, including workforce shortages, wage disparities, hospital-centric education, and fragmented governance. Drawing from a reflexive narrative of community-based practice and organizational experience, this article situated the evolving role of PHNs within broader health systems transformation. The National Association of Public Health Nurses, Inc. (NAPHNI) established a unified platform for advocacy, leadership development, and recognition of advanced practice roles. Policy reforms such as a National Nursing Workforce Plan, passage of the Comprehensive Nursing Bill, and competitive compensation were imperative to empower PHNs. Strengthening public health nursing was discovered to be crucial in achieving health equity and a resilient healthcare system in the Philippines.

Background: Diabetes mellitus (DM) is a significant public health issue, with its rates steadily climbing in Indonesia and throughout Southeast Asia. Managing chronic conditions like DM is complex and calls for integrated, structured, and patient-focused care, particularly at the primary care level. Understanding the experiences of nurses in this setting is crucial for enhancing health systems. Method: To delve into the lived experiences of nurses and patients managing DM care, a qualitative phenomenological approach was used. In-depth interviews were held with five participants, three nurses and two patients, between August and September 2020. The data was analyzed using Colaizzi's seven-step method to extract thematic insights. Findings: Three key themes emerged that highlighted the interconnected roles in DM care: (1) Strengthening Governance for Integrated Diabetes Care, which emphasizes the significance of health insurance, referral systems, and facility preparedness; (2) Delivering Person-Centered, Collaborative Care, focusing on interprofessional education, digital communication, home-based services, and the commitment of providers; and (3) Empowering Patients and Fostering Peer Support, and these showcased the importance of peer-led initiatives and social engagement in enhancing treatment adherence, as well as overall well-being. These themes reflected the systemic, professional, and patient-centered dimensions that collectively constituted the quality nursing care conceptual model. Conclusion Integrated diabetes care in Indonesian primary health settings thrived on the collaboration of government policies, community health center services, and patient involvement. The findings underlined the necessity for ongoing intersectoral collaboration and community-based strategies to bolster chronic disease management in resource-limited environments.
Diabetes Mellitus ; Primary Health Care

BACKGROUND AND OBJECTIVE

Primary care providers are key players in providing quality care to patients and advancing Universal Health Care (UHC). However, effective and quality healthcare delivery may be affected by inadequate knowledge and failure to adhere to evidence-based guidelines among providers. The Philippine Primary Care Studies (PPCS) is a five-year program that pilot tested interventions aimed at strengthening the primary care system in the country. Evidence-based training modules for healthcare providers were administered in Sorsogon and Bataan from the years 2018 to 2021. Module topics were selected based on common health conditions encountered by providers in rural and remote settings. This program aimed to evaluate the effectiveness of training in increasing provider knowledge.

A series of training workshops were conducted among 184 remote- and 210 rural-based primary care providers [nurses, midwives, barangay or village health workers (BHWs)]. They covered four modules: essential intrapartum and newborn care (EINC), integrated management of childhood illness (IMCI), non-communicable diseases (NCD), and geriatrics. A decision support system (UpToDate) was provided as a supplementary resource for all participants. We administered pre-tests and post-tests consisting of multiple-choice questions on common health conditions. Data was analyzed using paired one-tailed t-test, with an alpha of 0.05.

The knowledge of nurses, midwives, and BHWs improved after the training workshops were conducted. The largest increase from pre-test to post-test scores were observed among the midwives, with a mean difference (MD) of 32.9% (95% CI 23.9 to 41.9) on the EINC module, MD of 25.0% (95% CI 16.6 to 33.4) in the geriatrics module, and MD of 13.5% (95% CI 6.9 to 20.1) in the NCDs module. The nurses had the greatest improvement in the IMCI module (MD 10.8%, 95% CI 2.5 to 19.1). The knowledge of BHWs improved in all participated modules, with greatest improvement in the NCD module (MD 9.0%, 95% CI 5.77 to 12.14).

Primary care workshops, even if conducted as single-sessions and on a short-term basis, are effective in improving short-term knowledge of providers. However, this may not translate to long-term knowledge and application in practice. Furthermore, comparisons across provider categories cannot be made as participant composition for each training workshop varied. Ultimately, this study shows enhancing provider knowledge and competence in primary care will therefore require regular and diverse learning interventions and access to clinical decision support tools.

BACKGROUND AND OBJECTIVES

The etiology of pneumonia in the pediatric population varies by age group. Among patients one month to 59 months old, viral pathogens are the most common cause of lower respiratory infections. The study aims to determine the frequency distribution of antibiotic prescription among patients one month to 59 months old and to determine the adherence of primary care facilities to local guidelines with recommended antibiotics.

A descriptive retrospective study using electronic medical records was conducted at two primary care sites. Patients aged 1 month to 59 months old seeking consult via telemedicine or face-to-face diagnosed with community acquired pneumonia from April 2019-March 2020 in the rural facility and May 2019-April 2020 in the remote facility were included in the study. The primary outcome was to determine the patterns of antibiotic use in pneumonia in remote and rural areas and adherence to the recommended antibiotics by the 2016 Philippine Academy of Pediatric Pulmonologists pediatric community-acquired pneumonia clinical practice guidelines (CPG).

There were 30 pediatric patients diagnosed with pneumonia in the rural facility and 213 in the remote facility. Of these patients with pneumonia, 96.7% and 94.8% were prescribed antibiotics in the rural and remote sites, respectively. The most commonly prescribed antibiotic in the rural facility was co-amoxiclav (26.7%), while amoxicillin (51.6%) was the most common in the remote facility. Adherence to the CPG in the rural site was lower at 23.3% (n=8/30) compared to the remote site which was 55.9% (n=119/213).

Primary care physicians prescribed antibiotics in over 90% of the time upon the diagnosis of pneumonia in children aged one month to 59 months old, despite viral pneumonia being the more common in primary care setting. Adherence to recommended antibiotics was higher in the remote setting than in the rural setting. Use of EMR to monitor quality of care can improve patient outcomes and safety, pointing out the importance of improving the quality of documentation in the study sites.

OBJECTIVE

This study assessed the level of health system responsiveness of Rural Health Units (RHUs) in Cagayan Valley Region along seven domains of responsiveness namely dignity, autonomy, confidentiality, choice of provider, prompt attention, communication, and quality of basic amenities, and five core components of the health system namely health governance, health human resource, health information system, access to medicines and technology, and service delivery.

A cross-sectional research design was adopted using survey as the primary means of data collection using a researcher-developed questionnaire. The study was conducted in RHUs of 15 identified municipalities in the region. The municipalities were chosen based on their low performance in the LGU health score cards for 2019. A total of 618 clients and 235 health workers were included in the study. Frequency, percentage, and mean were used to analyze the profile and level of health system responsiveness. T test and one-way ANOVA were used to test significant differences.

The results showed that the RHUs included in the study have very good level of health system responsiveness, with overall percentage scores ranging from 73.55 to 88.08, in all domains assessed. However, choice of providers within the facilities (62.71%) and access to medicine and technology (77.45%) were the least responsive among all the identified domains. Significant differences in the clients’ assessment of the responsiveness of the RHUs were seen when grouped according to their sex, age, educational attainment, income level, overall level of health, frequency of visits, and distance of home to facility. The RHUs’ location, whether in an urban or rural area, number of staff, and number of barangays catered also were found to determine the level of health system responsiveness. Moreover, not all RHUs were able to comply with basic requirements of the Department of Health specifically along the services offered.

It can be concluded therefore that the RHUs, despite the limitations in certain aspects are still able to meet the expectations of the clients and health workers in the delivery of health services. However, in order to maximize responsiveness of these facilities, DOH requirements for these facilities should be met.