BACKGROUND AND OBJECTIVE

Filipino farmers face unique occupational challenges that increase the risk of mental health issues, particularly anxiety. This study aims to determine the different personal, environmental, socioeconomic, occupational, and psychosocial factors associated with anxiety symptoms among Filipino farmers in Central Luzon.

Chain referral sampling method was used to recruit participants for the study, who underwent screening based on the eligibility criteria. Eligible participants were then asked about anxiety symptoms using the Generalized Anxiety Disorder-7 (GAD-7), while the validated, researcher-constructed Data Collection Tool for Factors Associated with Anxiety Symptoms (DCFAAS) was used to determine the farmers’ exposure to a variety of factors. Microsoft Excel was utilized in computing for frequency and percent distribution of participants, in each factor. Binary logistic regression was used to compute crude and adjusted odds ratio of each factor thru IBM SPSS Statistics®.

Among the 113 eligible farmers enrolled in the study, only 19 (16.8%) experienced anxiety symptoms, with excessive worrying, which was seen among 45 participants (39.8%). The mental health of Filipino farmers was significantly affected by the presence of physical illness (OR = 10.70 [95% CI 1.367, 83.773]) and having relatives affecting work completion (OR = 6.45 [95% CI 1.346, 30.896]). 

Despite the low prevalence of anxiety symptoms in this study, the findings suggest government policies to improve mental health service access to farmers, to integrate psychosocial support into agricultural programs, and to address family-related work pressures. By addressing these factors, it can improve farmer productivity and promote overall well-being, putting emphasis on the mental health of the Filipino farmers.

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 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. Methods: 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. Results: 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). Conclusions 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.
Capacity Building ; Health Workforce ; Philippines ; Primary Health Care

Background: The Philippine Primary Care Studies (PPCS) is a network of pilot studies that developed, implemented, and tested strategies to strengthen primary care in the country. These pilot studies were implemented in an urban, rural, and remote setting. The aim is to use the findings to guide the policies of the national health insurance program (PhilHealth), the main payor for individualized healthcare services in the country. Objective: The objective of this report is to compare baseline outpatient benefit utilization, hospitalization, and health spending, including out-of-pocket (OOP) expenses, in three health settings (urban, rural, and remote). These findings were used to contextualize strategies to strengthen primary care in these three settings. Methods: Cross-sectional surveys were carried out using an interviewer-assisted questionnaire on a random sample of families in the urban site, and a stratified random sample of households in the rural and remote sites. The questionnaire asked for out-patient and hospitalization utilization and spending, including the OOP expenses. Results: A total of 787 families/households were sampled across the three sites. For outpatient benefits, utilization was low in all sites. The remote site had the lowest utilization at only 15%. Unexpectedly, the average annual OOP expenses for outpatient consults in the remote site was PhP 571.92/per capita. This is 40% higher than expenses shouldered by families in the rural area, but similar with the urban site. For hospital benefits, utilization was lowest in the remote site (55.7%) compared to 75.0% and 78.1% for the urban and rural sites, respectively. OOP expenses per year were highest in the remote site at PhP 2204.44 per capita, probably because of delay in access to healthcare and consequently more severe conditions. Surprisingly, annual expenses per year for families in the rural sites (PhP 672.03 per capita) were less than half of what families in the urban sites spent (PhP 1783.38 per capita). Conclusions Compared to families in the urban site and households in the rural sites, households in remote areas have higher disease rates and consequently, increased need for outpatient and inpatient health services. When they do get sick, access to care is more difficult. This leads to lower rates of benefit utilization and higher out-of-pocket expenses. Thus, provision of “equal” benefits can inadvertently lead to “inequitable” healthcare, pushing disadvantaged populations into a greater disadvantage. These results imply that health benefits need to be allocated according to need. Families in poorer and more remote areas may require greater subsidies.

Objectives: PhilHealth’s present health benefit scheme is largely centered on in-patient services. This inadvertently incentivizes hospital admissions for increased access to benefit coverage. To address this problem, this study proposes a costing method to comprehensively finance outpatient care. The objective of this paper is to estimate an annual primary care benefit package (PCBP) cost based on experience analysis (actual benefit usage) on the first year of implementation at an urban pilot site. Methods: A cost analysis was conducted to assess a disease-agnostic primary care benefit package for an urban outpatient government facility over the first year of implementation. Costing information was gathered through staff interviews, accounting documents, and usage data from the electronic health records system available on-site. Results: The annual primary care cost was defined as the estimated financial coverage for eligible employees and their eligible dependents (n=15,051). The annual utilization rate for consultations was reported at 51%. Of patients who consulted, approximately 38% accessed free available diagnostic procedures and 48% availed of free available medicines. Based on these usage rates, the annual primary care cost for the first year was computed at PhP 403.22 per capita. Conclusion Our study shows that on the first year of coverage in a government run urban outpatient facility, an allocation of PhP 403.22 per capita can allow coverage for a disease-agnostic package (comprehensive); this amount excludes out-of-pocket expenses incurred by the target population of this study. This amount is feasible only when coopted with opportunistic registration, reduction of untargeted check-ups, prior contextual community engagement, and streamlining of patient-transactions through an electronic health record (EHR).
Healthcare Financing ; Costs and Cost Analysis ; Primary Health Care

BACKGROUND

The Philippine Primary Care Studies (PPCS) is a network of pilot studies that developed, implemented, and tested strategies to strengthen primary care in the country. These pilot studies were implemented in an urban, rural, and remote setting. The aim is to use the findings to guide the policies of the national health insurance program (PhilHealth), the main payor for individualized healthcare services in the country.

The objective of this report is to compare baseline outpatient benefit utilization, hospitalization, and health spending, including out-of-pocket (OOP) expenses, in three health settings (urban, rural, and remote). These findings were used to contextualize strategies to strengthen primary care in these three settings.

Cross-sectional surveys were carried out using an interviewer-assisted questionnaire on a random sample of families in the urban site, and a stratified random sample of households in the rural and remote sites. The questionnaire asked for out-patient and hospitalization utilization and spending, including the OOP expenses.

A total of 787 families/households were sampled across the three sites. For outpatient benefits, utilization was low in all sites. The remote site had the lowest utilization at only 15%. Unexpectedly, the average annual OOP expenses for outpatient consults in the remote site was PhP 571.92/per capita. This is 40% higher than expenses shouldered by families in the rural area, but similar with the urban site. For hospital benefits, utilization was lowest in the remote site (55.7%) compared to 75.0% and 78.1% for the urban and rural sites, respectively. OOP expenses per year were highest in the remote site at PhP 2204.44 per capita, probably because of delay in access to healthcare and consequently more severe conditions. Surprisingly, annual expenses per year for families in the rural sites (PhP 672.03 per capita) were less than half of what families in the urban sites spent (PhP 1783.38 per capita).

Compared to families in the urban site and households in the rural sites, households in remote areas have higher disease rates and consequently, increased need for outpatient and inpatient health services. When they do get sick, access to care is more difficult. This leads to lower rates of benefit utilization and higher out-of-pocket expenses. Thus, provision of “equal” benefits can inadvertently lead to “inequitable” healthcare, pushing disadvantaged populations into a greater disadvantage. These results imply that health benefits need to be allocated according to need. Families in poorer and more remote areas may require greater subsidies.

OBJECTIVES

PhilHealth’s present health benefit scheme is largely centered on in-patient services. This inadvertently incentivizes hospital admissions for increased access to benefit coverage. To address this problem, this study proposes a costing method to comprehensively finance outpatient care. The objective of this paper is to estimate an annual primary care benefit package (PCBP) cost based on experience analysis (actual benefit usage) on the first year of implementation at an urban pilot site.

A cost analysis was conducted to assess a disease-agnostic primary care benefit package for an urban outpatient government facility over the first year of implementation. Costing information was gathered through staff interviews, accounting documents, and usage data from the electronic health records system available on-site.

The annual primary care cost was defined as the estimated financial coverage for eligible employees and their eligible dependents (n=15,051). The annual utilization rate for consultations was reported at 51%. Of patients who consulted, approximately 38% accessed free available diagnostic procedures and 48% availed of free available medicines. Based on these usage rates, the annual primary care cost for the first year was computed at PhP 403.22 per capita.

Our study shows that on the first year of coverage in a government run urban outpatient facility, an allocation of PhP 403.22 per capita can allow coverage for a disease-agnostic package (comprehensive); this amount excludes out-of-pocket expenses incurred by the target population of this study. This amount is feasible only when coopted with opportunistic registration, reduction of untargeted check-ups, prior contextual community engagement, and streamlining of patient-transactions through an electronic health record (EHR).

Introduction: In order to suppress the COVID-19 virus, several vaccines have been developed. The administration of COVID-19 vaccines entails its acceptance. However, misinformation and vaccine uncertainty are main factors that affect vaccine acceptance. This study aimed to determine the most trusted health information source, the most frequently accessed health information source, and health literacy of older adults within Metro Manila. Methods: This study employed a quantitative non-experimental design utilizing correlational and descriptive approaches. Convenience sampling was utilized via Facebook to recruit participants. The survey was adapted from four different questionnaires and went through reliability testing and expert validation. Results The researchers collected responses from a total of 123 participants. The participants were noted to have an overall high level of acceptance for the COVID-19 vaccine ( 4.10, SD ± 0.22). The study revealed that doctors were the highly trusted health information source (( =3.69, SD ± 1.30), followed by government health agencies (( =3.18, SD ± 0.73), whereas religious organizations and leaders (( =2.45, SD ± 0.48) were the least trusted sources. However, despite being the least trusted source, religious organizations and leaders were shown to be positively related (p=0.049) and highly predictive of COVID-19 vaccine acceptance. The most frequently accessed health information source, health workers, have a weak correlation (r=.323) and were found to be significantly positively related (p=0.008) and highly predictive of the acceptance of the COVID-19 vaccine. The credibility of health information sources is likely to influence their selection, influencing decisions and behaviors.
SARS-CoV-2 ; Geriatrics

Methods: Data on governance issues were obtained from participant observation and regular meetings facilitated over one year. Conducted across urban, rural, and remote settings, the present study outlines experience-near insights throughout a hierarchy of system implementers—from those in positions of authority to frontline workers. These insights were thematically analyzed and organized following the Health System Dynamics Framework. Results: This study identified six governance challenges: 1) establishing a health information system; 2) engaging leaders, healthcare staff, and communities; 3) assuring efficient financing; 4) assuring health workforce sufficiency; 5) addressing legal challenges; and 6) planning evaluation and monitoring. To address these challenges, this study forwards systemic solutions to advance effective governance and improve healthcare performance. Conclusion A renewed approach to strengthening primary care systems is fundamental to achieving universal healthcare. This entails good governance that develops strategies, equips people with tools for proper implementation, and provides data for evidence-based policies. The experiences outlined in the present study envisions guiding policymakers toward improving health outcomes in a devolved setting.
primary care ; universal healthcare ; health systems ; interventions

INTRODUCTION: Hypertension was identified by the CDC to be one of underlying medical conditions that might pose an increased risk for severe illness from COVID-19. This study aimed to determine the effect of hypertension on the morbidity of COVID-19 patients to help physicians in adjusting the management plans for a better prognosis. METHODS: Participants included all COVID-19 patients with hypertension as a pre-existing medical condition. Studies were selected based study design, participants, exposure, outcome, timing, setting and language. MEDLINE and CINAHL, ScienceDirect, Clinical Key, OVID database, Wiley Online library, and UpToDate were searched. The risk of bias in selection, comparability and outcomes were evaluated. All information gathered were collated and evaluated using the Newcastle-Ottawa Quality Assessment Scale and CEBM. RESULTS: There was a statistically significant positive association between mortality and hypertension as a prognostic factor (OR = 5.25, 95% CI 2.42, 11.40; HR = 2.21, 95% CI 1.75, 2.80). Individual studies all showed a significant relationship between hypertension and mortality in COVID-19 patients with OR ranging from 1.75 to 28.88, and HR of 1.49 to 3.32. CONCLUSION Hypertension as a comorbid condition is a significant prognostic factor in the prediction of mortality in hospitalized COVID-19 patients.