Profiles of poor performers in medical practice : models for prevention and intervention

Recent research on evidence-based medical practice has highlighted trends and patterns among medically qualified poor performers, and has produced a profile of risky performers in the profession. Drawing on empirically derived examples from medical practitioners based on reviews of recent government-ordered inquiries of hospitals in Australia, behaviours and practices that increase the risk of poor performance are identified. These findings permit development of a preventive approach to intervene before the problematic performance generates complaints to regulatory bodies. Preventive risk assessment measures to serve the interests of patients and the public are reviewed. These findings will be of interest to individual practitioners, and to those who regulate the profession, such as medical associations, medical councils and medical defense unions.

Managing panic disorder in general medical practice

Panic disorder (PD) is common in the community and contributes to significant distress and decreased quality of life for people who suffer from it. Most people with PD will present in the first instance to their general practitioner or hospital emergency department for assistance, often with a focus on somatic symptoms and concerns. This article aims to assist the GP to manage this group of patients by providing an outline of aetiology, approaches to assessment, and common management strategies. Although GPs have an important role to play in ruling out any causal organic basis for panic symptoms, the diagnosis of PD can usually be made as a positive diagnosis on the basis of careful history taking. Thorough and empathic education is a vital step in management. The prognosis for PD can be improved by lifestyle changes, specific psychological techniques, and the judicious use of pharmacotherapy.

Barriers to effective management of depression in general practice

Objective: The aim of this study was to investigate the effects of prior general practice training in mental health and practice location on general practitioner (GP) attitudes toward depression, self-confidence in assessing and treating depressed patients, identification of doctor, patient and practice barriers to the effective care of depressed patients in general medical practice and GP-reported current clinical practice.

Method: Fifty-two (out of 123) Divisions of General Practice that responded to an invitation to participate in the study distributed 608 anonymous surveys to a representative sample of GPs; 420 (69%) were returned. The questionnaire focused on current clinical practice, perceived barriers to care of depressed patients and doctors' self-efficacy for assessing and treating depressed patients. It also consisted of two scales, based upon previous research, designed to assess doctors' attitudes towards depression and depressed patients.

Results: General practitioners who had undertaken mental health education and training more often used non-pharmacological treatments (p = 0.00), as did female GPs (p = 0.00). Male GPs (p = 0.00) and those in rural settings (p = 0.01) more often prescribed medication for depression. Those without mental health training more often identified incomplete knowledge about depression as a barrier to its effective management (p = 0.00). Urban-based GPs (p = 0.04) and those with prior mental health training (p = 0.00) were more confident in the use of non-pharmacological treatments. Female GPs without mental health training were the least confident in the use of these methods (p = 0.01). Overall, GPs with mental health training were more positive in their attitudes toward depression and their treatment of these patients (p = 0.00). Female GPs appeared more positive in their attitudes toward depression than male GPs (p = 0.01), although the results were not entirely consistent.

Conclusions: Participation in mental health training by GPs appears to be related to their attitudes toward depressed patients and to their confidence and abilities to diagnose and manage the common mental disorders effectively.

Why do medical graduates choose rural careers?

Introduction: This study is based on the metaphor of the ‘rural pipeline’ into medical practice. The four stages of the rural
pipeline are: (1) contact between rural secondary schools and the medical profession; (2) selection of rural students into medical
programs; (3) rural exposure during medical training; and (4) measures to address retention of the rural medical workforce.
Methods: Using the rural pipeline template we conducted a literature review, analysed the selection methods of Australian
graduate entry medical schools and interviewed 17 interns about their medical career aspirations.
Results: Literature review: The literature was reviewed to assess the effectiveness of selection practices to predict successful
gradation and the impact of rural pipeline components on eventual rural practice. Undergraduate academic performance is the
strongest predictor of medical course academic performance. The predictive power of interviews is modest. There are limited data
on the predictive power of other measures of non-cognitive performance or the content of the undergraduate degree. Prior rural
residence is the strongest predictor of choice of a rural career but extended rural exposure during medical training also has a
significant impact. The most significant influencing factors are: professional support at national, state and local levels; career
pathway opportunities; contentedness of the practitioner’s spouse in rural communities; preparedness to adopt a rural lifestyle;
educational opportunities for children; and proximity to extended family and social circle. Analysis of selection methods: Staff
involved in student selection into 9 Australian graduate entry medical schools were interviewed. Four themes were identified:
(1) rurality as a factor in student selection; (2) rurality as a factor in student selection interviews; (3) rural representation on student
selection interview panels; (4) rural experience during the medical course. Interns’ career intentions: Three themes were identified:
(1) the efficacy of the rural pipeline; (2) community connectedness through the rural pipeline; (3) impediments to the effect of the
rural pipeline, the most significant being a partner who was not committed to rural life
Conclusion: Based on the literature review and interviews, 11 strategies are suggested to increase the number of graduates
choosing a career in rural medicine, and one strategy for maintaining practitioners in rural health settings after graduation.

Knowledge-in-practice in the caring professions : multidisciplinary perspectives

Contents:  Ideas of knowledge in practice / Struan Jacobs -- Information, knowledge, and wisdom in medical practice / P. B. Greenberg -- The practice of the psychiatrist / Alex Holmes -- Social work knowledge-in-practice / Heather D'Cruz -- Disability : a personal approach / Lisa Chaffey -- Knowledge in the making : an analytical psychology perspective / Joy Norton -- Knowledge to action in the practice of nursing / Alison Hutchinson, Tracey Bucknall -- The risky business of birth / Frances Sheean and Jennifer M. Cameron -- Skills for person-centred care : health professionals supporting chronic condition prevention and self-management / Sharon Lawn and Malcolm Battersby -- Knowledge and reasoning in practice : an example from physiotherapy and occupational therapy / Megan Smith ... [et al.] -- Using knowledge in the practice of dealing with addiction : an ideal worth aiming for / Peter Miller.

Evidence-based psychiatric practice: doctrine or trap?

Medical practice has rapidly shifted towards an 'evidence-based' approach. While there are acknowledged clear benefits to this, a number of pitfalls are frequently not appreciated. Perhaps the most important limitation is the extent to which the current body of data is inadequate for many common clinical decisions. Algorithms risk being developed, frequently by third parties, without acknowledgement of these limitations and with substantial implications for clinical independence and the quality of patient care. This paper discusses potential problems of the evidence-based approach and suggests possible guidelines for the management of clinical decisions given the limitations of data-based guidelines.

Medical data classification using interval type-2 fuzzy logic system and wavelets

This paper introduces an automated medical data classification method using wavelet transformation (WT) and interval type-2 fuzzy logic system (IT2FLS). Wavelet coefficients, which serve as inputs to the IT2FLS, are a compact form of original data but they exhibits highly discriminative features. The integration between WT and IT2FLS aims to cope with both high-dimensional data challenge and uncertainty. IT2FLS utilizes a hybrid learning process comprising unsupervised structure learning by the fuzzy c-means (FCM) clustering and supervised parameter tuning by genetic algorithm. This learning process is computationally expensive, especially when employed with high-dimensional data. The application of WT therefore reduces computational burden and enhances performance of IT2FLS. Experiments are implemented with two frequently used medical datasets from the UCI Repository for machine learning: the Wisconsin breast cancer and Cleveland heart disease. A number of important metrics are computed to measure the performance of the classification. They consist of accuracy, sensitivity, specificity and area under the receiver operating characteristic curve. Results demonstrate a significant dominance of the wavelet-IT2FLS approach compared to other machine learning methods including probabilistic neural network, support vector machine, fuzzy ARTMAP, and adaptive neuro-fuzzy inference system. The proposed approach is thus useful as a decision support system for clinicians and practitioners in the medical practice. copy; 2015 Elsevier B.V. All rights reserved.

Living with cancer : an ethnographic study of Thai cancer patients

This thesis is an ethnographic investigation aimed at describing the lived experiences of Thai cancer patients residing in Cancer Hostel, a shelter provided for the needy whilst undergoing radiation treatment at Siam Hospital. All names, including the hospital, the shelter, and all respondents have been altered to preserve anonymity. The practice of withholding the true diagnosis from Thai patients meant that very little was known about their own feelings on cancer and its treatment. That, coupled with entrenched medical practice beliefs, presented an unusual challenge, for which an ethnographic research method was advocated as being most appropriate in helping toward a better understanding of the problem and resolving the existing dilemma. To understand the real experiences of Thai cancer patients, it was extremely important that the researcher get as near as possible to becoming one of them. Therefore, by physically 'being with’, establishing rapport, and gaining patients trust, the researcher was assured of acceptance as an insider, and was thus allowed to share the experiences of their life encounters. Research findings graphically illustrated the flaws in the practice of protecting patients from their diagnosis, who almost universally, wanted to know more about their diagnosis in order to seek help from the medical care system. Towards this, patients created meaning by linking folk beliefs, culturally inherited knowledge and a common sense, albeit naive approach in trying to make sense of their illness and treatment. Although patients saw cancer illness and its treatment, especially radiotherapy, as life threatening, it was the fear of radiation treatment, not cancer illness which turned patients away from medical treatment. As well, uncertainty, fear and frustration through the lack of information and involvement in their treatment saw patients employ strategies of both reciprocal and fatalistic acceptance; stoic resistance; and thinking positively in their efforts at coping with those life threatening situations.

Devaluation of a constitutional guarantee : the history of section 51(xxiiiA) of the Commonwealth Constitution

This article describes constitutional and socio-historical background to the referendum that led to the inserrion of s 51(xxiijA) into the Commonwealth Constitution. It traces judicial interpretations of the clause 'but not so as to authorise any fonn of civil conscription' through the major cases, including British Medical Association v Commonwealth, General Practitioners Society v Commonwealth, and Alexandra Private Geriatric Hospital Pty Ud v Commonwealth. The issue of the powers of the Commonwealth to regulate private medical practice without infringing the constitutional guarantee against civil conscription is analysed in the context of the development of National Health Care Schemes for financing medical benefits (Health Insurance Commission v Peverill). Constitutional aspects of the 1995 legislation enabling the introduction into Australia of purchaser-provider agreements ('managed care ') are also examined. Finally, the article questions the constitutionality of the Australian Competition and Consumer Commission s powers to regulate the essential elements of the patient-doctor relationship.

Patient and business rules extraction and formalisation using SVN and SBVR for automated healthcare

This paper describes advances in automated health service selection and composition in the Ambient Assisted Living (AAL) domain. We apply a Service Value Network (SVN) approach to automatically match medical practice recommendations to health services based on sensor readings in a home care context. Medical practice recommendations are extracted from National Health and Medical Research Council (NHMRC) guidelines. Service networks are derived from Medicare Benefits Schedule (MBS) listings. Service provider rules are further formalised using Semantics of Business Vocabulary and Business Rules (SBVR), which allows business participants to identify and define machine-readable rules. We demonstrate our work by applying an SVN composition process to patient profiles in the context of Type 2 Diabetes Management.

Demonstrable professionalism : linking patient-centred care and revalidation

The move by the Medical Board of Australia to commence a conversation with the medical profession about revalidation reflects that patient-centred care is at the heart of good medical practice. Patients judge their doctors' commitment to them based on whether their individual interactions with doctors meet their needs. We argue that ensuring that doctors are continuing to perform at a level that the community regards as acceptable is a demonstration of an individual doctor's professionalism and thus their commitment to patient-centred care. This impacts on the profession as a whole, which needs to commit to what we call 'demonstrable professionalism' - the ongoing and active demonstration of performance that the community regards as acceptable. This needs to be supported by organisations in which doctors work, reflecting the importance of organisational context to clinical practice. Revalidation processes thus need both to reflect the work of doctors and be meaningful to the community. The move to consider revalidation of doctors by regulatory authorities should not be seen by the profession as a threat, but more as an opportunity to demonstrate the profession's commitment to patient-centred care

Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification

This paper introduces a novel approach to gene selection based on a substantial modification of analytic hierarchy process (AHP). The modified AHP systematically integrates outcomes of individual filter methods to select the most informative genes for microarray classification. Five individual ranking methods including t-test, entropy, receiver operating characteristic (ROC) curve, Wilcoxon and signal to noise ratio are employed to rank genes. These ranked genes are then considered as inputs for the modified AHP. Additionally, a method that uses fuzzy standard additive model (FSAM) for cancer classification based on genes selected by AHP is also proposed in this paper. Traditional FSAM learning is a hybrid process comprising unsupervised structure learning and supervised parameter tuning. Genetic algorithm (GA) is incorporated in-between unsupervised and supervised training to optimize the number of fuzzy rules. The integration of GA enables FSAM to deal with the high-dimensional-low-sample nature of microarray data and thus enhance the efficiency of the classification. Experiments are carried out on numerous microarray datasets. Results demonstrate the performance dominance of the AHP-based gene selection against the single ranking methods. Furthermore, the combination of AHP-FSAM shows a great accuracy in microarray data classification compared to various competing classifiers. The proposed approach therefore is useful for medical practitioners and clinicians as a decision support system that can be implemented in the real medical practice.