BACKGROUND AND OBJECTIVE

The primary determinant for patient referral by general dental practitioners (GDPs) to periodontists differs based on the country of practice. Moreover, previous research has revealed that GDP preferences for managing periodontal patients, actual number of referrals, and the overall decision-making process have evolved over time. Understanding the periodontal referral pattern of Filipino GDPs could help identify factors that promote or inhibit referral to periodontists. These factors may in turn be used as basis for the formulation of periodontal referral guidelines for use by GDPs in the Philippines. Therefore, this study aimed to determine the factors that affect the referral patterns of Filipino GDPs to periodontists, with GDPs practicing in the City of Manila as the representative population.

A descriptive cross-sectional study design with the use of a self-administered survey was utilized for this study. Participants were 75 licensed dentists practicing in the City of Manila who were members of the Philippine Dental Association-Manila Dental Chapter. The questionnaire collected information on sociodemographic characteristics of the participants, periodontal referral pattern, and the factors considered by the participants when referring patients to a periodontist. Descriptive statistics (frequency and percentage) were used to report the study’s findings.

Majority (92%) indicated that they regularly referred patients with periodontal disease to periodontists, with a personal estimate of up to 20 periodontal case referrals monthly by 81.3% of the participants and >20 referrals for 10.7%. The clinical factors considered as most important when referring to a periodontist were the type of periodontal disease (81.3% of the participants), periodontitis severity (74.7%), and the presence of a complex medical history 61.3%). Among the nonclinical factors, the most influential were the following: uncooperative patient (32% of the participants), perceived personal skill (24%), postgraduate training of the periodontist (21.3%), and the patient’s financial capacity (13.3%).

Multiple factors affect the decision of general dental practitioners in the City of Manila when referring patients to a periodontist. Majority are influenced by clinical factors such as the type and severity of periodontal disease and the systemic condition of the patient. Although considered to a much lesser degree compared to clinical factors, the top nonclinical factors that Manila GDPs base their referral decisions include the assessment that a patient is uncooperative and the perceived adequacy of personal skills in managing periodontal patients.

INTRODUCTION: The profile of patients referred from primary to tertiary nephrology care is unclear. Ethnic Malay patients have the highest incidence and prevalence of kidney failure in Singapore. We hypothesised that there is a Malay predominance among patients referred to nephrology due to a higher burden of metabolic disease in this ethnic group. METHODS: This is a retrospective observational cohort study. From 2014 to 2018, a coordinator and physician triaged patients referred from primary care, and determined co-management and assignment to nephrology clinics. Key disease parameters were collated on triage and analysed. RESULTS: A total of 6,017 patients were studied. The mean age of patients was 64 ± 16 years. They comprised 57% men; 67% were Chinese and 22% were Malay. The proportion of Malay patients is higher than the proportion of Malays in the general population (13.4%) and they were more likely than other ethnicities to have ≥3 comorbidities, including diabetes mellitus, hypertension, hyperlipidaemia, coronary artery disease and stroke (70% vs. 57%, P < 0.001). Malay and Indian patients had poorer control of diabetes mellitus compared to other ethnicities (glycated haemoglobin 7.8% vs. 7.4%, P < 0.001). Higher proportion of Malay patients compared to other ethnicities had worse kidney function with estimated glomerular filtration rate (eGFR) <30 mL/min/1.73 m 2 on presentation (28% vs. 24%, P = 0.003). More ethnic Malay, Indian and younger patients missed appointments. CONCLUSION A disproportionately large number of Malay patients are referred for kidney disease. These patients have higher metabolic disease burden, tend to miss appointments and are referred at lower eGFR. Reasons underpinning these associations should be identified to facilitate efforts for targeting this at-risk population, ensuring kidney health for all.
Humans ; Male ; Female ; Retrospective Studies ; Middle Aged ; Singapore/epidemiology* ; Referral and Consultation/statistics & numerical data* ; Aged ; Nephrology ; Glomerular Filtration Rate ; Metabolic Diseases/epidemiology* ; Ethnicity ; Diabetes Mellitus/epidemiology* ; Malaysia/ethnology* ; Adult

BACKGROUND

Online triage and consultation systems have enabled continued provision of outpatient hospital services for acute and chronic care. The Online Consultation Request and Appointment System (OCRA) is being utilized as a remote triage and consultation appointment system at the Philippine General Hospital (PGH). However, there is limited literature on waiting times involved in web-based remote triage delivery systems, especially during the COVID-19 pandemic.

This study aimed to determine the average amount of waiting time of new patients at the Family Practice Center from initial registration in the Outpatient Consultation Request and Appointment System (OCRA) until the final disposition.

This time-motion study entailed the measurement and recording of time duration spent by new patients for initial consult at the PGH Family Practice Center, Outpatient Department, from May-July 2023. Tracking of appointment timestamps and direct covert observation were used to compute for the elapsed waiting time from OCRA registration, until the consultation proper and post-consultation processing.

Three hundred twenty (320) new patients at the Family Practice Center were observed for this study from May 8 – July 20, 2023. New patients of PGH OPD spent an average of 74.72 days for the OCRA registration and pre-FPC Consultation waiting time, and 281.87 minutes from initial screening waiting time until the final disposition.

The average time experienced by new patients for the OCRA registration and pre-FPC Consultation date waiting time was 10 weeks and 5 hours and 13 minutes on average from the clinic arrival in Family Practice Center until the final disposition.

Background and Objective: The primary determinant for patient referral by general dental practitioners (GDPs) to periodontists differs based on the country of practice. Moreover, previous research has revealed that GDP preferences for managing periodontal patients, actual number of referrals, and the overall decision-making process have evolved over time. Understanding the periodontal referral pattern of Filipino GDPs could help identify factors that promote or inhibit referral to periodontists. These factors may in turn be used as basis for the formulation of periodontal referral guidelines for use by GDPs in the Philippines. Therefore, this study aimed to determine the factors that affect the referral patterns of Filipino GDPs to periodontists, with GDPs practicing in the City of Manila as the representative population. Methods: A descriptive cross-sectional study design with the use of a self-administered survey was utilized for this study. Participants were 75 licensed dentists practicing in the City of Manila who were members of the Philippine Dental Association-Manila Dental Chapter. The questionnaire collected information on sociodemographic characteristics of the participants, periodontal referral pattern, and the factors considered by the participants when referring patients to a periodontist. Descriptive statistics (frequency and percentage) were used to report the study’s findings. Results: Majority (92%) indicated that they regularly referred patients with periodontal disease to periodontists, with a personal estimate of up to 20 periodontal case referrals monthly by 81.3% of the participants and >20 referrals for 10.7%. The clinical factors considered as most important when referring to a periodontist were the type of periodontal disease (81.3% of the participants), periodontitis severity (74.7%), and the presence of a complex medical history 61.3%). Among the nonclinical factors, the most influential were the following: uncooperative patient (32% of the participants), perceived personal skill (24%), postgraduate training of the periodontist (21.3%), and the patient’s financial capacity (13.3%). Conclusion Multiple factors affect the decision of general dental practitioners in the City of Manila when referring patients to a periodontist. Majority are influenced by clinical factors such as the type and severity of periodontal disease and the systemic condition of the patient. Although considered to a much lesser degree compared to clinical factors, the top nonclinical factors that Manila GDPs base their referral decisions include the assessment that a patient is uncooperative and the perceived adequacy of personal skills in managing periodontal patients.
Human ; periodontal diseases ; referral and consultation ; dentists ; periodontists

BACKGROUND

Waiting time of patients from a consult with a primary care physician to a specialist is poorly understood. It is one indicator of health service delivery and patient satisfaction. Patients consider waiting for a specialist consult for more than three months too long and unacceptable.

To describe the sociodemographic and clinical factors associated with length of referral waiting time.

Cross-sectional retrospective chart review of patient records in a tertiary government hospital from 2015 to 2019.

A total of 366 charts were reviewed. Many of the patients referred to other specialty clinics were middle-aged adults and females. Median wait times for medical and surgical specialties were 11 (IQR: 0-29) and 18 (IQR: 6-35) days, respectively (p=0.003). Nutrition, rehabilitative medicine, and family health unit received the most number of referrals among non-surgical fields. Ophthalmology, otorhinolaryngology, and general surgery received the highest number of referrals among the surgical fields. Referral waiting times were longest for cardiology (median: 125, IQR: 91-275 days) and shortest for nutrition (median: 0, IQR: 0-6 days).

Waiting times from a primary care clinic to a specialty clinic at a tertiary government hospital vary based on urgency, specialty clinic, purpose of referral, presence of comorbidities, and chronicity of condition. Clinical factors found to be significantly associated with referral waiting time include urgency, type of clinic, and purpose of referral.

Introduction: The coronavirus disease 2019 (COVID-19) pandemic prompted a shift from standard in-person consultation to non-patient contact methods such as telemedicine. To our knowledge, there was no published a priori evaluation of the telemedicine readiness and acceptance among the medical staff of the Philippine General Hospital (PGH) before implementing the institution’s telemedicine program. The lack of this vital pre-implementation step is understandable given the unprecedented crisis. However, if telemedicine programs will continue in the post-quarantine period, it is crucial to determine the facilitators and barriers to the use of telemedicine. Objective: This study determined the level of readiness and acceptance for telemedicine as an alternative method for patient consultation during the COVID-19 pandemic and post-enhanced community quarantine period among PGH medical staff (consultants, residents, fellows). Methods: The cross-sectional study was conducted from October 2020 to July 2021. Medical staff from the 16 clinical departments of the PGH were selected by systematic random sampling. Inclusion criteria included appointment as medical staff in PGH or University of the Philippines College of Medicine (UPCM), voluntary informed consent, internet access, and technical capacity to access e-mail and SurveyMonkey™. The online survey consisted of two questionnaires. It collected data on the demographic profile and outcomes of interest (e.g., telemedicine readiness and acceptance). Technological readiness was determined through the 16-item modified version of Technological Readiness Index (TRI) version 2.0, while telemedicine acceptance was determined through the modified version of the 19-item Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. Descriptive and analytical statistics were performed at a 95% confidence interval. Results: The study had an 87% response rate with 205 respondents, 62% of whom were physicians in training (resident physicians and fellows). The respondents had a median age of 33 years and were mostly males. Only 19% had telemedicine experience before the pandemic. The majority (51%) learned telemedicine on their own. The most common devices used for telemedicine were mobile or smartphones (53%) and laptops (38%). The primary source of internet for telemedicine was mobile broadband (e.g., cellular data) (40%). The majority practiced telemedicine at their home or residence (51%), followed closely by the hospital or clinic (47%). The mean score of the respondents on TRI was 3.56 (very good technological readiness), and 4.00 (very good telemedicine acceptance) on UTAUT (behavioral intention to use the system). Performance expectancy (p = 0.02), effort expectancy (p = 0.03), and self-efficacy (p = 0.02) were significantly directly related to telemedicine adoption, while anxiety (p = 0.03) was significantly inversely related. Conclusion The PGH medical staff were found to have very good telemedicine readiness and acceptance. This suggests a willingness to use telemedicine during the pandemic. Further studies on the organization and technical support system of the telemedicine program in the PGH are strongly recommended. The quality and efficiency of the program will strongly influence the continued use of telemedicine by the medical staff even after the pandemic.
Health Services Administration ; Telemedicine ; Telecommunications ; Remote Consultation ; COVID-19

The coronavirus disease 2019 (COVID-19) epidemic is evolving in Latin America despite implementation of government measures. We report a familial cluster in Lima, Peru, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Two young and two middle-aged adults with a wide range of COVID-19 manifestations experienced successful management under telehealth outpatient monitoring. Telehealth monitoring was scheduled as suggested by Peruvian Ministry of Health Guidelines and was performed by a designated physician who assessed the patients and prescribed treatment. On May 14, 2020, a 25-year-old male, who worked treating COVID-19 patients, reported constitutional symptoms and tested positive for SARS-CoV-2. Clinical improvement was achieved with azithromycin and ivermectin therapy. He had been in contact with his parents (Cases 2 and 3) and his sister (Case 4). Cases 2 and 3 developed moderate pulmonary compromise requiring oxygen supplementation and pharmacological therapy, including corticosteroids and anticoagulation, under home medical assessment and telehealth monitoring. Case 4 developed mild symptoms and periorbital rash, an atypical dermatological finding. To our knowledge this represents the first report of a familial cluster with COVID-19 that was successfully managed under scheduled telehealth outpatient monitoring in Latin America.
SARS-CoV-2 ; COVID-19 ; Telemedicine ; Remote Consultation

Objective: To decrease the total time spent of new patients on a General Clinic consult at the Department of Ophthalmology and Visual Sciences of a Philippine Tertiary Hospital. Methods: A time quality management team was formed. The description of the process of a General Clinic new patient consult was elucidated and was consolidated in a data collection form. Convenience sampling of the population was done. The collection and analysis of the data were done with institution of interventions to address the factors causing the prolonged consultation visit; then, pre-intervention analysis, post-intervention analysis and comparison were done. Results: Thirty-five new patients were tracked prior to and after intervention. Among the identified causes for prolonged new patient consult were delay in temporary chart, front of chart and blue card issuance, insufficient examination tools and resident dedicated to the General Clinic, unnecessary examination and patient not being around when called. Most causes were addressed. A mean decrease of 68±112 minutes or approximately 18% in total time stay was noted. Conclusion This study showed that the total consultation time of a new patient in General Clinic decreased. This was achieved with the help of most of the personnel involved in the system after identifying factors causing the prolonged consultation visit and instituting interventions to address these identified factors. The improvement in health service delivery was taken as a step by step process. A preliminary step was demonstrated in this paper for future interventions for better service delivery.
Ophthalmology ; Outpatients ; Referral and Consultation

This is a case of a Muslim medical student who sought psychiatric consultation because of suicidal behaviors and declining academic performance, diagnosed with Borderline Personality and Major Depressive Disorder. It was later discovered that she had gone through various instances of physical, emotional and sexual trauma since she was a child. These histories of transgenerational trauma were explored throughout the course of evaluation, including how these experiences had affected her current condition.
Depressive Disorder ; Suicidal Ideation ; Islam ; Students ; Referral and Consultation

Aims: This study was aimed to identify the risk factors for the acquisition of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli and Klebsiella pneumoniae on non-ventilator hospital-acquired pneumonia (NV-HAP) patients in a tertiary care hospital in Indonesia. Methodology and results: A case-control study was performed between March 31, 2018, and August 31, 2019. Twenty-eight ESBL-producing E. coli and K. pneumoniae isolates and 28 susceptible strains of E. coli and K. pneumoniae obtained from NV-HAP patients were included in this study. Phenotypic screening for ESBL production was performed by the Vitek2 system and subsequently confirmed by double-disk synergy tests. The use of 3rd generation cephalosporin as initial antibiotic therapy for more than three days was the significant risk factor for the acquisition of ESBL-producing E. coli and K. pneumoniae among NV-HAP patients (odds ratio [OR] 41.827; p=0.001). The length of stay of patients with NV-HAP acquiring the ESBL strains was longer than 10 days (OR 17.334; p=0.001). Conclusion, significance and impact of study The use of 3rd generation cephalosporin as the initial antibiotic for NV-HAP should be restricted to prevent the emergence of ESBL-producing strains. Infection prevention measures are required to control the acquisition of ESBL-producing E. coli and K. pneumoniae in NV-HAP patients.
beta-Lactamases ; Escherichia coli ; Klebsiella pneumoniae ; Cross Infection ; Healthcare-Associated Pneumonia ; Tertiary Care Centers