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Dive into the research topics where Qun Mai is active.

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Featured researches published by Qun Mai.


British Journal of Surgery | 2006

Surgeon experience and trends in intraoperative complications in laparoscopic cholecystectomy

Michael Hobbs; Qun Mai; Matthew Knuiman; David R. Fletcher; Steve Ridout

Intraoperative complications, particularly bile duct injuries (BDIs), have increased since the introduction of laparoscopic cholecystectomy (LC). This excess risk is expected to decline as surgeon experience in laparoscopic surgery increases.


BMC Medicine | 2011

Mental illness related disparities in diabetes prevalence, quality of care and outcomes: a population-based longitudinal study

Qun Mai; C. D'Arcy J. Holman; Frank Sanfilippo; Jonathan D Emery; David B. Preen

BackgroundHealth care disparity is a public health challenge. We compared the prevalence of diabetes, quality of care and outcomes between mental health clients (MHCs) and non-MHCs.MethodsThis was a population-based longitudinal study of 139,208 MHCs and 294,180 matched non-MHCs in Western Australia (WA) from 1990 to 2006, using linked data of mental health registry, electoral roll registrations, hospital admissions, emergency department attendances, deaths, and Medicare and pharmaceutical benefits claims. Diabetes was identified from hospital diagnoses, prescriptions and diabetes-specific primary care claims (17,045 MHCs, 26,626 non-MHCs). Both univariate and multivariate analyses adjusted for socio-demographic factors and case mix were performed to compare the outcome measures among MHCs, category of mental disorders and non-MHCs.ResultsThe prevalence of diabetes was significantly higher in MHCs than in non-MHCs (crude age-sex-standardised point-prevalence of diabetes on 30 June 2006 in those aged ≥20 years, 9.3% vs 6.1%, respectively, P < 0.001; adjusted odds ratio (OR) 1.40, 95% CI 1.36 to 1.43). Receipt of recommended pathology tests (HbA1c, microalbuminuria, blood lipids) was suboptimal in both groups, but was lower in MHCs (for all tests combined; adjusted OR 0.81, 95% CI 0.78 to 0.85, at one year; and adjusted rate ratio (RR) 0.86, 95% CI 0.84 to 0.88, during the study period). MHCs also had increased risks of hospitalisation for diabetes complications (adjusted RR 1.20, 95% CI 1.17 to 1.24), diabetes-related mortality (1.43, 1.35 to 1.52) and all-cause mortality (1.47, 1.42 to 1.53). The disparities were most marked for alcohol/drug disorders, schizophrenia, affective disorders, other psychoses and personality disorders.ConclusionsMHCs warrant special attention for primary and secondary prevention of diabetes, especially at the primary care level.


BMC Psychiatry | 2011

The impact of mental illness on potentially preventable hospitalisations: a population-based cohort study

Qun Mai; C. D'Arcy J. Holman; Frank Sanfilippo; Jonathan D Emery

BackgroundEmerging evidence indicates an association between mental illness and poor quality of physical health care. To test this, we compared mental health clients (MHCs) with non-MHCs on potentially preventable hospitalisations (PPHs) as an indicator of the quality of primary care received.MethodsPopulation-based retrospective cohort study of 139,208 MHCs and 294,180 matched non-MHCs in Western Australia from 1990 to 2006, using linked data from electoral roll registrations, mental health registry (MHR) records, hospital inpatient discharges and deaths. We used the electoral roll data as the sampling frame for both cohorts to enhance internal validity of the study, and the MHR to separate MHCs from non-MHCs. Rates of PPHs (overall and by PPH category and medical condition) were compared between MHCs, category of mental disorders and non-MHCs. Multivariate negative binomial regression analyses adjusted for socio-demographic factors, case mix and the year at the start of follow up due to dynamic nature of study cohorts.ResultsPPHs accounted for more than 10% of all hospital admissions in MHCs, with diabetes and its complications, adverse drug events (ADEs), chronic obstructive pulmonary disease (COPD), convulsions and epilepsy, and congestive heart failure being the most common causes. Compared with non-MHCs, MHCs with any mental disorders were more likely to experience a PPH than non-MHCs (overall adjusted rate ratio (ARR) 2.06, 95% confidence interval (CI) 2.03-2.09). ARRs of PPHs were highest for convulsions and epilepsy, nutritional deficiencies, COPD and ADEs. The ARR of a PPH was highest in MHCs with alcohol/drug disorders, affective psychoses, other psychoses and schizophrenia.ConclusionsMHCs have a significantly higher rate of PPHs than non-MHCs. Improving primary and secondary prevention is warranted in MHCs, especially at the primary care level, despite there may be different thresholds for admission in people with established physical disease that is influenced by whether or not they have comorbid mental illness.


Fertility and Sterility | 2011

How effective is in vitro fertilization, and how can it be improved?

Louise M. Stewart; C. D’Arcy J. Holman; Roger Hart; Judith Finn; Qun Mai; David B. Preen

OBJECTIVE To measure IVF effectiveness, which is defined as the cumulative incidence of live delivery over real time in women after commencing IVF treatment. DESIGN Population-based retrospective cohort study. SETTING IVF clinics in Western Australia (WA). PATIENT(S) All women ages 20-44 years inclusive at start of treatment, commencing IVF in 1982-1992 and 1993-2002 at clinics in WA (n = 8,275). INTERVENTION(S) Data on IVF cycles were extracted from hospital records and a statutory reproductive technology register and linked to records of births. MAIN OUTCOME MEASURE(S) Cumulative incidence of an IVF-attributed live delivery and cumulative incidence of an IVF-attributed or IVF treatment-independent live delivery. RESULT(S) IVF effectiveness in the 1993-2002 cohort was 47% overall. It was highest in women ages 20-29 years at the start of treatment, measuring 58%; and 79% with the inclusion of IVF treatment-independent deliveries, and declined to 22% and 33%, respectively, in women ages 40-44 years. Couples underwent, on average, only three cycles, even though the cumulative probability of a live delivery increased with each successive cycle for at least the first five cycles. CONCLUSION(S) IVF effectiveness could be improved if women, particularly those over 35, underwent more cycles.


Emergency Medicine Australasia | 2015

Predicting the number of emergency department presentations in Western Australia: A population-based time series analysis

Qun Mai; Patrick Aboagye-Sarfo; Frank Sanfilippo; David B. Preen; Daniel M Fatovich

To predict the number of ED presentations in Western Australia (WA) in the next 5 years, stratified by place of treatment, age, triage and disposition.


Emergency Medicine Australasia | 2015

Growth in Western Australian emergency department demand during 2007–2013 is due to people with urgent and complex care needs

Patrick Aboagye-Sarfo; Qun Mai; Frank Sanfilippo; David B. Preen; Louise M. Stewart; Daniel M Fatovich

To determine the magnitude and characteristics of the increase in ED demand in Western Australia (WA) from 2007 to 2013.


Anz Journal of Surgery | 2004

Impact of laparoscopic cholecystectomy on hospital utilization

Michael Hobbs; Qun Mai; David R. Fletcher; Steve Ridout; Mathew W. Knuiman

Objective:  The objective of the present study was to assess the impact of laparoscopic cholecystectomy (LC) and associated endoscopic retrograde pancreatography (ERCP) on hospital utilization.


BMJ Open | 2014

Long-term use and cost-effectiveness of secondary prevention drugs for heart disease in Western Australian seniors (WAMACH): a study protocol.

Anthony S. Gunnell; Matthew Knuiman; Elizabeth Geelhoed; Michael Hobbs; Judith M. Katzenellenbogen; Joseph Hung; Jamie Rankin; Lee Nedkoff; Tom Briffa; Michael Ortiz; Malcolm Gillies; Anne Cordingley; Mitch Messer; Christian Gardner; Derrick Lopez; Emily Atkins; Qun Mai; Frank Sanfilippo

Introduction Secondary prevention drugs for cardiac disease have been demonstrated by clinical trials to be effective in reducing future cardiovascular and mortality events (WAMACH is the Western Australian Medication Adherence and Costs in Heart disease study). Hence, most countries have adopted health policies and guidelines for the use of these drugs, and included them in government subsidised drug lists to encourage their use. However, suboptimal prescribing and non-adherence to these drugs remains a universal problem. Our study will investigate trends in dispensing patterns of drugs for secondary prevention of cardiovascular events and will also identify factors influencing these patterns. It will also assess the clinical and economic consequences of non-adherence and the cost-effectiveness of using these drugs. Methods and analysis This population-based cohort study will use longitudinal data on almost 40 000 people aged 65 years or older who were hospitalised in Western Australia between 2003 and 2008 for coronary heart disease, heart failure or atrial fibrillation. Linking of several State and Federal government administrative data sets will provide person-based information on drugs dispensed precardiac and postcardiac event, reasons for hospital admission, emergency department visits, mortality and medical visits. Dispensed drug trends will be described, drug adherence measured and their association with future all-cause/cardiovascular events will be estimated. The cost-effectiveness of these long-term therapies for cardiac disease and the impact of adherence will be evaluated. Ethics and dissemination Human Research Ethics Committee (HREC) approvals have been obtained from the Department of Health (Western Australian #2011/62 and Federal) and the University of Western Australia (RA/4/1/1130), in addition to HREC approvals from all participating hospitals. Findings will be published in peer-reviewed medical journals and presented at local, national and international conferences. Results will also be disseminated to consumer groups.


Emergency Medicine Australasia | 2016

Impact of population ageing on growing demand for emergency transportation to emergency departments in Western Australia, 2005–2020

Patrick Aboagye-Sarfo; Qun Mai; Frank Sanfilippo; Daniel M Fatovich

The aim of the present paper is to quantify the impact of population ageing on demand for emergency transportation (ET) to EDs in Western Australia (WA).


PLOS ONE | 2015

Hospital mental health admissions in women after unsuccessful infertility treatment and in vitro fertilization: an Australian population-based cohort study.

Louise M. Stewart; C. D’Arcy J. Holman; James B. Semmens; David B. Preen; Qun Mai; Roger Hart

Objective To examine the association between in vitro fertilization (IVF) and later admission to hospital with a mental health diagnosis in women who remained childless after infertility treatment. Methods This was a population-based cohort study using linked administrative hospital and registry data. The study population included all women commencing hospital treatment for infertility in Western Australia between the years 1982 and 2002 aged 20–44 years at treatment commencement who did not have a recorded birth by the end of follow-up (15 August 2010) and did not have a hospital mental health admission prior to the first infertility admission (n=6,567). Of these, 2,623 women had IVF and 3,944 did not. We used multivariate Cox regression modeling of mental health admissions and compared women undergoing IVF treatment with women having infertility treatment but not IVF. Results Over an average of 17 years of follow-up, 411 women in the cohort were admitted to hospital with a mental health diagnosis; 93 who had IVF and 318 who did not. The unadjusted hazard ratio (HR) for a hospital mental health admission comparing women who had IVF with those receiving other infertility treatment was 0.50 (95% confidence interval [CI] 0.40–0.63). After adjustment for age, calendar year and socio-economic status the HR was 0.56 (95% CI 0.44–0.71). Conclusions IVF treatment is associated with a reduced risk of hospital mental health admissions in women after unsuccessful infertility treatment. This may be explained by the healthy cohort effect.

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Frank Sanfilippo

University of Western Australia

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David B. Preen

University of Western Australia

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Matthew Knuiman

University of Western Australia

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Michael Hobbs

University of Western Australia

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Steve Ridout

University of Western Australia

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Anthony S. Gunnell

University of Western Australia

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C. D'Arcy J. Holman

University of Western Australia

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C. D’Arcy J. Holman

University of Western Australia

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