Human ; Infant, Newborn ; Mass Screening ; Neonatal Screening ; Censuses

Infant, Newborn ; Mass Screening ; Neonatal Screening

BACKGROUND AND OBJECTIVE

data-mce-style="text-align: justify;">In the Philippines, patients are constrained from accessing their own records, restricting their ability to freely choose who to seek care from. To address this, the study makes a case for the development of the health smart card in the Philippines, an integrative tool unique to each citizen carrying their lifetime medical record.

data-mce-style="text-align: justify;">The prototype is developed using no-code programming technology and validated through a series of focus group discussions and stakeholder consultations with patients (n=4), healthcare administrators (n=4), and hospital personnel (n=13). It was then revised based on the collected insights and recommendations.

data-mce-style="text-align: justify;">Findings report that the current facility-centric model utilizing paper records constrains patients’ access to their records due to long wait times, slow turnaround periods, constant intra- and inter-hospital transfers, and even charging of fees to acquire a copy of their own data. The health smart card alternative was widely accepted by the participants, particularly for its contribution to increasing data accessibility, patient empowerment, and advancing patient data ownership. Nevertheless, several considerations for the upscale implementation of the health smart card emerged, including creating an interoperable environment through harmonizing standards and capacity-building programs, and ensuring data security through robust cybersecurity measures. Issues on scalability and funding of the project were also raised, centering on the critical role of the government in stepping up as regulator and potential funder. Concerns over potential abuse, dataveillance, and the digital divide are tackled, highlighting the need to account for socioeconomic factors to ensure that no one is left behind in the implementation.

data-mce-style="text-align: justify;">The study makes a case for the development and adoption of a health smart card to address the inaccessibility of records to patients. The study concludes by recommending the conduct of a pilot implementation to comprehensively demonstrate and analyze the features of the proposed scheme.

Human ; Mass Screening ; Mothers ; Nuchal Translucency Measurement ; Prenatal Diagnosis

Humans ; Early Detection of Cancer ; Endoscopy ; Esophageal Neoplasms/epidemiology* ; Risk Factors ; Mass Screening

BACKGROUND

data-mce-style="text-align: justify;">Medical records provide a repository of patient information, physical examination, laboratory findings, and the outcomes of interventions. The completeness of data contained in the electronic medical record (EMR) is an important factor leading to health service improvement. Quality assurance (QA) activities have been utilized to improve documentation in electronic medical records.

data-mce-style="text-align: justify;">To determine the effectiveness of QA interventions (feedback, workshop, and random monitoring system) in improving completeness of data entries in the EMR of resident physicians for COVID-19 teleconsultations.

data-mce-style="text-align: justify;">This was a before-and-after study involving EMR entries of physician trainees on health care workers (HCWs) from March to October 2022 of the COVID-19 pandemic. A chart audit was conducted against a checklist of criteria for three months before and after the interventions. QA interventions included the provision of feedback on the results of the initial chart review; conducting a QA workshop on setting of standards, chart audit, data encoding, analysis, and presentation; and random monitoring/feedback of resident charting. The change in the level of completeness from pre- to post-intervention was computed, and the percentage of charts meeting the minimum standard of 90% completeness was likewise determined.

data-mce-style="text-align: justify;">A total of 362 and 591 chart entries were audited before and after the interventions. The average percentage of completeness of medical records during initial consultation improved from 83% to 95% (p>0.05). The documentation of the reason for seeking consultation significantly increased from < 1% to 84%. The reporting of past exposure and level of risk decreased to 89% (p=0.001) in the initial consult and 12% (p=0.001) in the fit-to-work, respectively. Majority of the criteria for work clearance improved after the intervention. However, the average completeness of entries did not reach 90% post-intervention for fit-to-work consultations.

Feedback, quality assurance workshop, and random monitoring of electronic medical records are effective in increasing documentation practices for the chief complaint and dates of illness duration but showed non-significant increasing trend on overall percentage of EMR completeness for COVID-19 teleconsultations.

BACKGROUND

data-mce-style="text-align: justify;">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.

data-mce-style="text-align: justify;">This study aimed to determine the frequency distribution of pediatric diseases in a rural primary healthcare facility in the Philippines.

data-mce-style="text-align: justify;">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.

data-mce-style="text-align: justify;">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.

data-mce-style="text-align: justify;">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.

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

OBJECTIVE

data-mce-style="text-align: justify;">This study determined the diagnostic accuracies of Growth and Retinopathy of Prematurity (GROP) criteria and a novel modified G-ROP criteria on identifying retinopathy of prematurity (ROP) in infants referred for screening at a tertiary hospital.

data-mce-style="text-align: justify;">This was a single-center, cross-sectional, retrospective study. Medical records of infants referred for ROP screening from January 2012 to December 2021 were reviewed. Infants were labelled as “requiring ROP examination” if they met the 2020 Philippine Academy of Ophthalmology – ROP Working Group (PAO-ROPWG) screening consensus, G-ROP, or modified G-ROP criteria. We compared the accuracy of each criterion in predicting prethreshold ROP, evaluating sensitivity, specificity, and predictive values, as well as percentage of low-risk infants. Statistical analysis used Chi-square tests and one-way ANOVA with post hoc testing.

data-mce-style="text-align: justify;">Of the 873 infants, 162 infants (18.6%) were noted to have ROP of any stage. Type 1 ROP developed in 15.4%, and type 2 ROP in 16.7%. The 2020 PAO-ROPWG consensus had 100% sensitivity (95% CI: 86.3%- 100%) in detecting type 1 and 2 ROP while 323 infants (37%) were low-risk. G-ROP criteria had 100% (95% CI: 86.3%-100%) sensitivity and 79.2% (95% CI: 76.4%-81.9%) specificity in predicting type 1 ROP, and 88.89% (95% CI: 70.84%-97.65%) sensitivity and 79.1% (95% CI: 76.2%-81.8%) specificity in predicting type 2 ROP, while 672 infants (77%) were classified as low-risk. Modified G-ROP criteria had a 100% (95% CI: 86.3%-100%) sensitivity in predicting type 1 and 2 ROP, 54.9% (95% CI: 51.5%-58.3%) and 55.1% (95% CI: 51.7%-58.5%) specificity in predicting type 1 and type 2 ROP, respectively, while 472 infants (54%) were classified as low-risk.

data-mce-style="text-align: justify;">G-ROP and modified G-ROP criteria showed high sensitivity and better specificity compared to the 2020 PAO-ROPWG consensus. Their stricter criteria for gestational age and birth weight likely enhanced specificity. Further research is needed to confirm these findings in a broader population.

BACKGROUND

data-mce-style="text-align: justify;">Evaluation of primary care allows for identification of problems in the healthcare system, such as poor health outcomes, inappropriate health services, overuse of unnecessary resources, or underuse of recommended strategies. Assessment of adherence to existing clinical practice guidelines as quality indicators is critical for evaluating the effectiveness of primary care and shaping healthcare policies.

data-mce-style="text-align: justify;">To determine the adherence of primary care providers to existing practice guidelines for common pediatric concerns in remote, rural, and urban areas in the Philippines.

data-mce-style="text-align: justify;">This cross-sectional study included data from the electronic medical records (EMR) of patients aged 19 years and below who consulted at the three pilot sites of the Philippine Primary Care Studies (PPCS) from January to December 2019. Relevant demographic data and quality indicator measures (e.g., immunization history, adolescent smoking history, medication and supplement prescription) were extracted from the EMR by the PPCS data management team. Adherence to existing guidelines on pediatric history taking and management of common illnesses (e.g., diarrhea, upper respiratory tract infections, malnutrition) was evaluated.

data-mce-style="text-align: justify;">This study included 8,724 pediatric patients seen across the three pilot sites from January to December 2019. Immunization history was taken in only 0.4% of pediatric patients. Smoking history was taken in only 6.8% of adolescent patients. Zinc was prescribed in only 40.1% of patients with diarrhea. No infants were prescribed with vitamin A, while iron was prescribed in only 2.5% of children and 3% of adolescent females. In contrast to the recommendations of existing guidelines, antibiotics were prescribed in 38.5% of patients with AGE and 62.5% of patients with viral URTI. Montelukast was prescribed as first-line asthma treatment in 4.7% of cases. Multivitamins were prescribed in 57.2% of all pediatric patients.

data-mce-style="text-align: justify;">Overuse of inappropriate medications and underuse of appropriate interventions were observed in this study. There was low adherence to evaluation of pediatric immunization history, adolescent smoking history, zinc supplementation for diarrhea, and iron and vitamin A supplementation among identified vulnerable population groups. Over prescription of the following were observed: (1) antibiotics for acute gastroenteritis and probable viral URTI, (2) multivitamins for the general pediatric population, and (3) montelukast among newly diagnosed asthma patients.