INTRODUCTION: As the population ages, patient complexity is increasing, intensifying the demand for well-resourced, coordinated care. A deeper understanding of the factors contributing to this complexity is essential for optimising resource allocation. This study evaluates the prevalence of complex care needs in Singapore's primary care settings and identifies the factors associated with these needs. METHOD: Using a qualitative study design, we developed a patient complexity questionnaire to assess how Singapore family physicians recognise patient complexity. Sixty-nine experienced primary care physicians applied this tool to assess patient encounters, categorising each as "routine care" (RC), "medically challenging" (MC), or "complex care" (CC). We compared the care needs across these categories and used mixed-effects multinomial logistic regression to determine the independent predictors of complexity. RESULTS: Of the 4327 encounters evaluated, 15.0% were classified as CC, 18.5% as MC, and 66.4% as RC. In both CC and MC encounters, the most common medical challenges were polypharmacy (66.2% in CC, 44.9% in MC); poorly controlled chronic conditions (41.3% in CC, 24.5% in MC); and treatment interactions (34.4% in CC, 26.0% in MC). Non-medical issues frequently identified included low health literacy (32.6% in CC, 20.8% in MC); limited motivation for healthy lifestyle behaviours (27.2% in CC, 16.6% in MC); and the need for coordinated care with hospital specialists (24.7% in CC, 17.1% in MC). The top 3 independent predictors of complexity included mobility limitations requiring assistance (odds ratio [OR] for requiring wheelchair/trolley: 7.14 for CC vs RC, 95% confidence interval [CI] 4.74-10.74); longer consultation times with physicians (OR for taking >20 minutes for doctor's consultation: 3.96 for CC vs RC, 95% CI 2.86-5.48); and low socioeconomic status (OR for living in 1- or 2-room HDB flats: 2.98 for CC vs RC, 95% CI 1.74-5.13). CONCLUSION High care needs, encompassing both CC and MC encounters, were prevalent in primary care interactions. These findings highlight that relying solely on chronic disease count is insufficient to capture the full spectrum of patient complexity.
Singapore/epidemiology* ; Humans ; Primary Health Care/statistics & numerical data* ; Male ; Female ; Middle Aged ; Aged ; Adult ; Surveys and Questionnaires ; Prevalence ; Polypharmacy ; Qualitative Research ; Chronic Disease/therapy* ; Logistic Models

PURPOSE: The diagnosis of cow's milk (CM) allergy is a challenge. The Cow's Milk-related-Symptom-Score (CoMiSS™) was developed to offer primary health care providers a reliable diagnostic tool for CM related symptoms. The predictive prospective value of the CoMiSS™ was evaluated in three clinical trials. METHODS: Pooled analyses of the three studies were conducted based on regressing the results of the month-1 challenge test on the month-1 CoMiSS™, adjusting for baseline CoMiSS™ using a logistic regression model. In addition a logistic regression model was also fitted to the month-1 challenge test result with the change in CoMiSS™ from baseline as a predictor. RESULTS: Results suggest that infants having a low CoMiSS™ (median, 5) after 1 month dietary treatment free from intact CM protein have a significant risk of having a positive challenge test (odds ratio, 0.83; 95% confidence interval, 0.75-0.93; p=0.002). Pooled data suggest that the change in CoMiSS™ from baseline to month-1 can predict CM related symptoms as a confirmed diagnosis according to the challenge test at month-1. However, in order to validate such a tool, infants without CM related symptoms would also need to be enrolled in a validation trial. A concern is that it may not be ethical to expose healthy infants to a therapeutic formula and a challenge test. CONCLUSION: Pooled data analysis emphasizes that the CoMiSS™ has the potential to be of interest in infants suspected to have CM-related-symptoms. A prospective validation trial is needed.
Diagnosis ; Humans ; Hypersensitivity ; Infant ; Logistic Models ; Milk* ; Primary Health Care ; Prospective Studies ; Statistics as Topic

OBJECTIVE: To evaluate the prescription behavior for outpatients in primary health care institutions of Yiyang and to provide scientific basis for promoting the rational use of drugs.
 METHODS: A multi-stage random sampling method was conducted in 21 primary health care institutions from Yiyang. Fifteen prescriptions were randomly selected in every month from each institution and a total of 3780 prescriptions were eventually collected in a year.
 RESULTS: Both the number of drugs and percentage of injection in a prescription were greater than the international standards. Children were more likely to be prescribed by multiple prescriptions, antibiotics prescriptions, hormones and injections prescriptions. The utilization of essential drug was more frequent in female. Antibiotics and hormones were more frequently used in summer and autumn season. Polypharmacy, antibiotics, injections and essential drugs were more frequently used in hospitals of small town. The skin and subcutaneous tissue diseases were often treated with multiple prescriptions, while the respiratory diseases were often treated with antibiotics, hormones and injections. Most primary health care institutions were at the upper limit of rational drug use.
 CONCLUSION The usage of prescription drug in most primary health care is rational, but some still surpass international standards. Thus, primary health care physicians should strictly control their prescriptions behavior.
Anti-Bacterial Agents ; Drug Prescriptions ; statistics & numerical data ; Drug Utilization Review ; Drugs, Essential ; Hormones ; Humans ; Injections ; Outpatients ; Practice Patterns, Physicians' ; Primary Health Care

PURPOSE: This study was carried out to describe the process and evaluation of a critical thinking class for new community health practitioners. METHODS: The case study design was used to develop and evaluate a critical thinking class for 46 participants in the community health practitioners training program. The class was held two hours a week for 8 weeks. Critical thinking disposition was tested before and after the class and critical skill was graded according to the final test score. Data analysis was performed using descriptive statistics and paired t-tests using SPSS WIN 20.0. RESULTS: Clinical critical thinking competences were identified through the literature review. The case situations with questions guiding the problem-solving process were developed and used for group discussion. Critical thinking disposition of participants was determined to have increased slightly after having taken the class. 17.4% of the participants had a competency level high enough to solve a problem and half of them stayed at the level of understanding of critical thinking. Compared with the class's satisfaction with the relevance to their jobs, the satisfaction with the learning method and instructor was high. CONCLUSION: The findings of this research will serve as the basis for developing critical thinking classes for community health nurses in order to improve their critical thinking competence.
Education ; Learning ; Mental Competency ; Nurses, Community Health ; Primary Health Care ; Problem-Based Learning ; Statistics as Topic ; Thinking*

BACKGROUND: A test panel is a group of tests that are simultaneously performed for diagnosis and follow-up of patients. Organ-specific or disease-specific test panels are currently available. Since the patient's chief complaint plays a key role in obtaining the personal and medical history and performing physical examinations, we proposed a test panel based on the chief complaints of the patients. METHODS: We collected data from 3,127 adults with apparent symptoms who visited the emergency department from April 2009 to May 2009. Subsequently, we classified the patients' chief complaints, ordered the laboratory tests on the basis of these complaints, considered the patients' disease entities, and reviewed the relevant literature. RESULTS: The patients were categorized into 14 groups on the basis of the most common chief complaints presented in the emergency department. We first selected the basic test panels and then organized the test panel for each chief complaint to enable differential diagnosis. CONCLUSIONS: We proposed test panels based on the chief complaints of the patients; these test panels could allow rapid diagnosis and be more useful than the organ-specific or disease-specific tests in critical pathway development. The next step will be evaluating the efficiency and cost effectiveness of the test panel that we suggested.
Diagnostic Tests, Routine ; *Emergency Service, Hospital/statistics & numerical data ; Humans ; *Laboratory Techniques and Procedures ; Primary Health Care

INTRODUCTIONHypertension is a common chronic condition usually managed by primary-care practitioners in Singapore. This study assessed the characteristics, control and complications of non-diabetic hypertensive patients managed at government primary healthcare clinics.

MATERIALS AND METHODSA cross-sectional study involving 9 clinics was conducted over 1-week in 2006. Five hundred and six non-diabetic hypertensive patients were systematically sampled from all clinic attendees. Data relating to socio-demographic, lifestyle factors, treatment and complications were collected by interviewer-administered questionnaires and review of clinic medical records. Blood pressure (BP) measurements were taken with validated automated sets following a standard protocol.

RESULTSThe prevalence of good BP control (<140/90 mmHg) was 37.7% (95% CI: 33.6% to 41.8%). Ninety seven percent were on medication with about half on monotherapy. Seventy percent of patients had a body mass index (BMI) of 23.0 kg/m(2) or higher, 64% did not exercise regularly and 8% were current smokers. After adjusting for age and lifestyle factors, male hypertensive patients had poorer BP control compared to females. Nineteen percent of patients reported at least 1 complication of hypertension, especially cardiac disease. After multivariate analysis and duration of disease, age and the male gender were associated with the presence of hypertensive complications.

CONCLUSIONSMore than half of the patients were not controlled to target levels. Male patients were more likely to have poorer control of hypertension and significantly higher risks of complications. Control of BP could be further improved by lifestyle modifications - weight reduction, promotion of physical activity, healthier eating habits and smoking cessation.

Aged ; Blood Pressure ; Body Mass Index ; Community-Based Participatory Research ; Confidence Intervals ; Cross-Sectional Studies ; Diet, Reducing ; Female ; Humans ; Hypertension ; complications ; diagnosis ; epidemiology ; prevention & control ; Life Style ; Male ; Middle Aged ; Motor Activity ; Multivariate Analysis ; Prevalence ; Primary Health Care ; statistics & numerical data ; Risk ; Sex Factors ; Singapore ; epidemiology ; Surveys and Questionnaires ; Weight Loss

INTRODUCTIONThere is interest in surveillance systems for outbreak detection at stages where clinical presentation would still be undifferentiated. Such systems focus on detecting clusters of syndromes in excess of baseline levels, which may indicate an outbreak. We model the detection limits of a potential system based on primary care consults for the detection of an outbreak of severe acute respiratory syndrome (SARS).

MATERIALS AND METHODSData from an averaged-sized medical centre were extracted from the Patient Care Enhancement System (PACES) [the electronic medical records system serving the Singapore Armed Forces (SAF)]. Thresholds were set to 3 or more cases presenting with particular syndromes and a temperature reading of >or=38oC (T >or=38). Monte Carlo simulation was used to insert simulated SARS outbreaks of various sizes onto the background incidence of febrile cases, accounting for distribution of SARS incubation period, delay from onset to first consult, and likelihood of presenting with T >or=38 to the SAF medical centre.

RESULTSValid temperature data was available for 2,012 out of 2,305 eligible syndromic consults (87.2%). T >or=38 was observed in 166 consults (8.3%). Simulated outbreaks would peak 7 days after exposure, but, on average, signals at their peak would consist of 10.9% of entire outbreak size. Under baseline assumptions, the system has a higher than 90% chance of detecting an outbreak only with 20 or more cases.

CONCLUSIONSSurveillance based on clusters of cases with T >or=38 helps reduce background noise in primary care data, but the major limitation of such systems is that they are still only able to confidently detect large outbreaks.

Adult ; Body Temperature ; Cluster Analysis ; Communicable Diseases, Emerging ; epidemiology ; Computer Simulation ; Fever ; diagnosis ; Hospitals, Military ; utilization ; Humans ; Medical Records Systems, Computerized ; Middle Aged ; Military Medicine ; Military Personnel ; statistics & numerical data ; Monte Carlo Method ; Personnel, Hospital ; statistics & numerical data ; Primary Health Care ; statistics & numerical data ; Referral and Consultation ; statistics & numerical data ; Sentinel Surveillance ; Severe Acute Respiratory Syndrome ; diagnosis ; epidemiology ; Singapore ; epidemiology