Family medicine vocational training and career satisfaction in Hong Kong

BACKGROUND

Postgraduate vocational training in family medicine (FM) is essential for physicians to build capacity and develop quality primary care. Inadequate standards in training and curriculum development can contribute to poor recruitment and retention of doctors in primary care. This study aimed to investigate: 1) the satisfaction level of doctors regarding vocational training in family medicine and associated demographics; and 2) the satisfaction level of doctors regarding their family medicine career and associated factors.

METHOD

This is a cross sectional study of all family medicine physicians across all government-funded primary care clinics (GOPCs). The study questionnaire consisted of items from a standardized and validated physician survey named the Physician Worklife Survey (PWS) (Konrad et al., Med Care, 1999). We selected three scales (7 items) relating to global job satisfaction, global career satisfaction and global specialty (family medicine) satisfaction with additional items on training and demographics. All significant variables in bivariate analyses were further examined using stepwise logistic regression.

RESULTS

Out of 424 eligible family medicine physicians, 368 physicians successfully completed the questionnaire. The response rate was 86.8%. Most participants were male (52.6%), were aged between 35 and 44 years (55.5%), were FM specialists (42.4%), graduated locally (86.2%), and had postgraduate qualifications. Eighty-two percent (82%) of participants were satisfied with their training. Having autonomy and protected time for training were associated with satisfaction with FM training. Satisfaction with family medicine as a career was correlated with physicians' satisfaction with their current job. Doctors who did not enroll in training (p < 0.001) and physicians who were older (p = 0.023) were significantly less satisfied. Stepwise multivariate regression showed that doctors who subjectively believed their training as "broad and in depth' had higher career satisfaction (p < 0.001).

CONCLUSION

Overall, the satisfaction level of physicians on current family medicine training in Hong Kong was high. Having autonomy and protected time for training is associated with higher training satisfaction levels. Perceiving FM training as "broad and in-depth" is associated with higher family medicine career satisfaction.

P4377Use of LV Deformation Imaging to predict long term Heart Failure Risk in high risk patients

Background

The increasing prevalence of heart failure (HF), due to hypertension, ischaemic heart disease, diabetes, obesity, and ageing population demands identification of at-risk subgroup whom we could target on prevention strategies. In a same cohort of patients at risk of HF (70% with CAD), 13% developed new HF hospitalization or death over 4.3 years of follow-up, however, disease management program did not confer any benefit to outcome and LV ejection fraction (EF) was not predictive of progression to HF. Better risk stratification strategies are needed. In this study, we sought whether advanced echo measure on deformation, global longitudinal strain (GLS) would predict HF admission over a long term follow up and thereby define an at-risk group. Aim: To determine which of the LV morphology, function and deformation parameters, best predict new HF admission or HF death in pts at risk but without prior dx of HF.

Method

Echocardiograms (including measurement of LV, size, function, morphology and deformation) were obtained in 431 inpatients (mean age 65±11, 72% male) at risk of HF. LV global longitudinal strain (GLS) and strain rate (GLSR) were measured offline (EchoPac, GE). Long term (9 years) follow up data were obtained via data linkage.

Results

63 pts (15%) reached the end-point of HF admission or HF death. LV deformation showed a univariable association with outcome (Table). In multivariable analysis, including known significant predictors of outcome (age, sex, BMI, diabetes, hypertension), GLS less than 18 remained an independent predictor (Table), in addition to age and DM at baseline. EF and LV mass were not predictors of heart failure.

HR (95% CI) P value HR (95% CI) P value HR (95% CI) P value Age 1.1 (1–1.1) <0.01 1.1 (1–1.1) 0.04 1 (1–1.1) 0.04 Sex 1.0 (0.6–1.7) 0.9 0.8 (0.4–1.8) 0.6 0.8 (0.4–1.8) 0.6 BMI 1.0 (1–1.1) 0.05 1 (0.9–1.1) 0.7 1 (0.9–1.1) 0.7 DM 2.6 (1.6–4.3) <0.01 2.7 (1.4–5.3) <0.01 2.7 (1.4–5.2) 0.04 LVMI 1.0 (1.0–1.0) <0.01 1 (0.9–1.0) 0.7 1 (0.99–1.0) 0.7 Impaired EF, % 1.0 (0.9–1.0) <0.01 1 (0.9–1.0) 0.16 0.97 (0.94–1.0) 0.04 Diastolic dysfunction 2.3 (1.4–3.7) <0.01 0.8 (0.3–1.7) 0.5 0.7 (0.3–1.7) 0.5 GLS 1.3 (1.4–1.2) <0.01 1.1 (1–1.2) 0.07 GLS <18 5.3 (2.8–10.2) <0.01 2.3 (1.1–5.1) 0.04

Conclusion

GLS <18 is independently associated with increasing new onset heart failure admission and HF mortality in patients at risk of HF.

Subtle Cognitive Decline predicts progression to Mild Cognitive Impairment Above and Beyond Alzheimer’s Disease Risk Factors

Objective

Early identification of those at risk for mild cognitive impairment (MCI) and Alzheimer’s disease (AD) is critical for early intervention. Recent work shows that subtle cognitive decline (SCD), operationally-defined using sensitive neuropsychological scores, predicts progression to MCI/AD and is associated with AD biomarkers. We aimed to determine whether SCD adds unique value in predicting progression to MCI/AD above and beyond other AD risk factors.

Method

547 cognitively unimpaired participants from the Alzheimer’s Disease Neuroimaging Initiative (359 without SCD; 188 with SCD) underwent neuropsychological testing and lumbar puncture. Participants were classified as SCD if they performed >1 SD below the demographically-adjusted mean on 1) two neuropsychological total scores in different cognitive domains, or 2) two memory test process scores (e.g., intrusion errors), or 3) one total score and one process score. Cox regressions examined whether SCD status predicted progression to MCI and AD within 5 years after adjusting for age, education, sex, MMSE, depressive symptoms, ischemia risk, apolipoprotein E genotype, and AD biomarker “positivity” based on the cerebrospinal fluid phosphorylated tau-to-β-amyloid ratio.

Results

SCD status predicted progression to MCI (HR = 2.74, 95% CI = 2.07-3.63, p < .001) and AD (HR = 2.20, 95% CI = 1.04-4.65, p = .04) within 5 years, even after including known AD risk factors in the model.

Conclusion

SCD conveys a 2-3 fold increased risk of progression to MCI/AD and is a unique predictor above and beyond risk factors that are commonly used in preclinical AD research. These findings support our novel SCD criteria as a cost-effective and non-invasive method for identifying those at risk for future cognitive decline.

Two well-differentiated pancreatic neuroendocrine tumor mouse models

Multiple endocrine neoplasia type 1 (MEN1) is a genetic syndrome in which patients develop neuroendocrine tumors (NETs), including pancreatic neuroendocrine tumors (PanNETs). The prolonged latency of tumor development in MEN1 patients suggests a likelihood that other mutations cooperate with Men1 to induce PanNETs. We propose that Pten loss combined with Men1 loss accelerates tumorigenesis. To test this, we developed two genetically engineered mouse models (GEMMs)-MPR (Men1^flox/flox Pten^flox/flox RIP-Cre) and MPM (Men1^flox/flox Pten^flox/flox MIP-Cre) using the Cre-LoxP system with insulin-specific biallelic inactivation of Men1 and Pten. Cre in the MPR mouse model was driven by the transgenic rat insulin 2 promoter while in the MPM mouse model was driven by the knock-in mouse insulin 1 promoter. Both mouse models developed well-differentiated (WD) G1/G2 PanNETs at a much shorter latency than Men1 or Pten single deletion alone and exhibited histopathology of human MEN1-like tumor. The MPR model, additionally, developed pituitary neuroendocrine tumors (PitNETs) in the same mouse at a much shorter latency than Men1 or Pten single deletion alone as well. Our data also demonstrate that Pten plays a role in NE tumorigenesis in pancreas and pituitary. Treatment with the mTOR inhibitor rapamycin delayed the growth of PanNETs in both MPR and MPM mice, as well as the growth of PitNETs, resulting in prolonged survival in MPR mice. Our MPR and MPM mouse models are the first to underscore the cooperative roles of Men1 and Pten in cancer, particularly neuroendocrine cancer. The early onset of WD PanNETs mimicking the human counterpart in MPR and MPM mice at 7 weeks provides an effective platform for evaluating therapeutic opportunities for NETs through targeting the MENIN-mediated and PI3K/AKT/mTOR signaling pathways.

A modelling approach for the nonlinear dynamics of assembled structures undergoing fretting wear

Assembled structures tend to exhibit nonlinear dynamic behaviour at high excitation levels due to the presence of contact interfaces. The possibility of building predictive models relies on the ability of the modelling strategy to capture the complex nonlinear phenomena occurring at the interface. One of these phenomena, normally neglected, is the fretting wear occurring at the frictional interface. In this paper, a computationally efficient modelling approach which enables considerations of the effect of fretting wear on the nonlinear dynamics is presented. A multi-scale strategy is proposed, in which two different time scales and space scales are used for the contact analysis and dynamic analysis. Thanks to the de-coupling of the contact and dynamic analysis, a more realistic representation of the contact interface, which includes surface roughness, is possible. The proposed approach is applied to a single bolted joint resonator with a simulated rough contact interface. A tendency towards an increase of real contact area and contact stiffness at the interface is clearly observed. The dynamic response of the system is shown to evolve over time, with a slight decrease of damping and an increase of resonance frequency, highlighting the impact of fretting wear on the system dynamics.