A sharply defined white line of precipitate forms in Pseudomonas Agar F (Difco) between the opaque white colonies of Pseudomonas tolaasi and translucent colonies of certain unidentified pseudomonads. This visible interaction has been utilized in a specific and reliable method for the identification of Ps. tolaasi. The white line test was positive when 113 isolates of Ps. tolaasi from five different countries were examined, whereas 154 isolates of pseudomonads other than Ps. tolaasi, including Ps. corrugata, Ps. delphinii, Ps. fluorescens, Ps. lachrymans, Ps. marginalis, Ps. pastinaceae, Ps. phaseolicola, Ps. aeruginosa, Ps. putida, Ps. syringae, Ps. mors‐prunorum, Ps. cichorii, Ps. antirrhini, Ps. viridiflava, Ps. caryophylli, Ps. cepacia, Ps. mendocina, Ps. stutzeri, Ps. acidivorus and Ps. lemoignei did not give the white line reaction with a reacting translucent colony pseudomonad. Browning of mushrooms in host tests does not help in the identification of Ps. tolaasi, but a conspicuous pitting produced in less than 10 min at the cut surface of mushroom tissue is as specific as the white line test in detecting Ps. tolaasi in suspension in distilled water.

A Chinese (HK) translation of the PEI equivalent to the original is now available for application to Chinese populations. Pilot testing supported its acceptability, validity, reliability and sensitivity. Further studies to confirm its construct validity and responsiveness will help to establish the Chinese (HK) PEI as an outcome measure of the effectiveness of primary care consultations in Chinese patients.

Dating applications (apps) on smartphones have become increasingly popular. The aim of this study was to explore the association between the use of dating apps and risky sexual behaviours. Data were collected in four university campuses in Hong Kong. Subjects completed a structured questionnaire asking about the use of dating apps, sexual behaviours, and sociodemographics. Multiple linear and logistics regressions were used to explore factors associated with sexual risk behaviours. Six hundred sixty-six subjects were included in the data analysis. Factors associated with having unprotected sexual intercourse with more lifetime sexual partners included use of dating apps (β = 0.93, p<0.01), having one’s first sexual intercourse before 16 years of age (β = 1.74, p<0.01), being older (β = 0.4, p<0.01), currently being in a relationship (= 0.69, p<0.05), having a monthly income at least HKD$5,000 (β = 1.34, p<0.01), being a current smoker (β = 1.52, p<0.01), and being a current drinker (β = 0.7, p<0.01). The results of a multiple logistic regression analysis found that users of dating apps (adjust odds ratio: 0.52, p<0.05) and current drinkers (adjust odds ratio: 0.40, p<0.01) were less likely to have consistent condom use. Users of dating apps (adjust odds ratio: 1.93, p<0.05), bisexual/homosexual subjects (adjust odds ratio: 2.57, p<0.01) and female subjects (adjust odds ratio: 2.00, p<0.05) were more likely not to have used condoms the last time they had sexual intercourse. The present study found a robust association between using dating apps and sexual risk behaviours, suggesting that app users had greater sexual risks. Interventions that can target app users so that they can stay safe when seeking sexual partners through dating apps should be developed.

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BackgroundType 2 Diabetes Mellitus (DM) is a common chronic disease associated with multiple clinical complications. Management guidelines have been established which recommend a risk-stratified approach to managing these patients in primary care. This study aims to evaluate the quality of care (QOC) and effectiveness of a multi-disciplinary risk assessment and management programme (RAMP) for type 2 diabetic patients attending government-funded primary care clinics in Hong Kong. The evaluation will be conducted using a structured and comprehensive evidence-based evaluation framework.Method/designFor evaluation of the quality of care, a longitudinal study will be conducted using the Action Learning and Audit Spiral methodologies to measure whether the pre-set target standards for criteria related to the structure and process of care are achieved. Each participating clinic will be invited to complete a Structure of Care Questionnaire evaluating pre-defined indicators which reflect the setting in which care is delivered, while process of care will be evaluated against the pre-defined indicators in the evaluation framework.Effectiveness of the programme will be evaluated in terms of clinical outcomes, service utilization outcomes, and patient-reported outcomes. A cohort study will be conducted on all eligible diabetic patients who have enrolled into RAMP for more than one year to compare their clinical and public service utilization outcomes of RAMP participants and non-participants. Clinical outcome measures will include HbA1c, blood pressure (both systolic and diastolic), lipids (low-density lipoprotein cholesterol) and future cardiovascular diseases risk prediction; and public health service utilization rate will include general and specialist outpatient, emergency department attendances, and hospital admissions annually within 5 years. For patient-reported outcomes, a total of 550 participants and another 550 non-participants will be followed by telephone to monitor quality of life, patient enablement, global rating of change in health and private health service utilization at baseline, 6, 12, 36 and 60 months.DiscussionThe quality of care and effectiveness of the RAMP in enhancing the health for patients with type 2 diabetes will be determined. Possible areas for quality enhancement will be identified and standards of good practice can be established. The information will be useful in guiding service planning and policy decision making.