Where there is no surgeon: the effect of specialist proximity on general practitioners' referral rates

Objective: To determine the effect of proximity of surgical specialists on general practitioners' (GPs') rates of referral of surgical problems to specialist care (ie, are surgical referral rates of GPs in rural or remote areas similar to those of GPs in urban centres?). Design: A cross-sectional survey of GPpatient encounters. Setting: The Bettering the Evaluation and Care of Health (BEACH) program, which involves all active registered GPs in Australia. Participants: A random sample of 3030 GPs, each providing details of 100 consecutive patient encounters. Main outcome measures: Proportion of surgical problems (including ophthalmological and obstetric and gynaecological) referred to surgical specialists (surgeons' rooms, hospital outpatient departments or hospital emergency departments). Results: Absence of a local specialist did not significantly influence the proportion of surgical problems referred by GPs overall, but the proportion referred was significantly lower for obstetric (odds ratio [OR], 0.56; 95% CI, 0.440.70) and ophthalmological (OR, 0.60; 95% CI, 0.490.73) problems. Other factors independently associated with referral of a lower proportion of problems included male GPs, female and younger patients, holders of a Health Care Card, injury-related and non-cancer-related problems, follow-up presentations, and more than one problem managed at an encounter. Conclusions: Our findings confirm that rural and remote GPs undertake much of their patients' antenatal care, and are less likely to use specialists when managing ophthalmological problems. Absence of local specialists in other surgical specialties is not a barrier to referral of patients with surgical disorders

A purple patch for evidence-based health policy?

The global focus on nation states' responses to the COVID-19 pandemic has rightly highlighted the importance of science and evidence as the basis for policy action. Those with a lifelong passion for evidence-based policy (EBP) have lauded Australia's and other nations' policy responses to COVID-19 as a breakthrough moment for the cause. This article reflects on the complexity of the public policy process, the perspectives of its various actors, and draws on Alford's work on the Blue, Red and Purple zones to propose a more nuanced approach to advocacy for EBP in health. We contend that the pathway for translation of research evidence into routine clinical practice is relatively linear, in contrast to the more complex course for translation of evidence to public policy - much to the frustration of health researchers and EBP advocates. Cairney's description of the characteristics of successful policy entrepreneurs offers useful guidance to advance EBP and we conclude with proposing some practical mechanisms to support it. Finally, we recommend that researchers and policy makers spend more time in the Purple zone to enable a deeper understanding of, and mutual respect for, the unique contributions made by research, policy and political actors to sound public policy

Haemorrhage control of the pre-hospital trauma patient.

. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated

An assessment of pulse transit time for detecting heavy blood loss during surgical operation

Copyright @ Wang et al.; Licensee Bentham Open. This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.The main contribution of this paper is the use of non-invasive measurements such as electrocardiogram (ECG) and photoplethysmographic (PPG) pulse oximetry waveforms to develop a new physiological signal analysis technique for detecting blood loss during surgical operation. Urological surgery cases were considered as the control group due to its generality, and cardiac surgery as experimental group since it involves blood loss and water supply. Results show that the control group has the tendency of a reduction of the pulse transient time (PTT), and this indicates an increment in the blood flow velocity changes from slow to fast. While for the experimental group, the PTT indicates high values during blood loss, and low values during water supply. Statistical analysis shows considerable differences (i.e., P <0.05) between both groups leading to the conclusion that PTT could be a good indicator for monitoring patients' blood loss during a surgical operation.The National Science Council (NSC) of Taiwan and the Centre for Dynamical Biomarkers and Translational Medicine, National Central University, Taiwan

Understanding practice: the factors that influence management of mild traumatic brain injury in the emergency department - a qualitative study using the Theoretical Domains Framework

Background: Mild traumatic brain injury is a frequent cause of presentation to emergency departments. Despite the availability of clinical practice guidelines in this area, there is variation in practice. One of the aims of the Neurotrauma Evidence Translation program is to develop and evaluate a targeted, theory- and evidence-informed intervention to improve the management of mild traumatic brain injury in Australian emergency departments. This study is the first step in the intervention development process and uses the Theoretical Domains Framework to explore the factors perceived to influence the uptake of four key evidence-based recommended practices for managing mild traumatic brain injury. / Methods: Semi-structured interviews were conducted with emergency staff in the Australian state of Victoria. The interview guide was developed using the Theoretical Domains Framework to explore current practice and to identify the factors perceived to influence practice. Two researchers coded the interview transcripts using thematic content analysis. / Results: A total of 42 participants (9 Directors, 20 doctors and 13 nurses) were interviewed over a seven-month period. The results suggested that (i) the prospective assessment of post-traumatic amnesia was influenced by: knowledge; beliefs about consequences; environmental context and resources; skills; social/professional role and identity; and beliefs about capabilities; (ii) the use of guideline-developed criteria or decision rules to inform the appropriate use of a CT scan was influenced by: knowledge; beliefs about consequences; environmental context and resources; memory, attention and decision processes; beliefs about capabilities; social influences; skills and behavioral regulation; (iii) providing verbal and written patient information on discharge was influenced by: beliefs about consequences; environmental context and resources; memory, attention and decision processes; social/professional role and identity; and knowledge; (iv) the practice of providing brief, routine follow-up on discharge was influenced by: environmental context and resources; social/professional role and identity; knowledge; beliefs about consequences; and motivation and goals. Conclusions: Using the Theoretical Domains Framework, factors thought to influence the management of mild traumatic brain injury in the emergency department were identified. These factors present theoretically based targets for a future intervention

Economic evaluation of the NET intervention versus guideline dissemination for management of mild head injury in hospital emergency departments

BACKGROUND: Evidence-based guidelines for the management of mild traumatic brain injury (mTBI) in the emergency department (ED) are now widely available, and yet, clinical practice remains inconsistent with the guidelines. The Neurotrauma Evidence Translation (NET) intervention was developed to increase the uptake of guideline recommendations and improve the management of minor head injury in Australian emergency departments (EDs). However, the adoption of this type of intervention typically entails an upfront investment that may or may not be fully offset by improvements in clinical practice, health outcomes and/or reductions in health service utilisation. The present study estimates the cost and cost-effectiveness of the NET intervention, as compared to the passive dissemination of the guideline, to evaluate whether any improvements in clinical practice or health outcomes due to the NET intervention can be obtained at an acceptable cost. METHODS AND FINDINGS: Study setting: The NET cluster randomised controlled trial [ACTRN12612001286831]. Study sample: Seventeen EDs were randomised to the control condition and 14 to the intervention. One thousand nine hundred forty-three patients were included in the analysis of clinical practice outcomes (NET sample). A total of 343 patients from 14 control and 10 intervention EDs participated in follow-up interviews and were included in the analysis of patient-reported health outcomes (NET-Plus sample). Outcome measures: Appropriate post-traumatic amnesia (PTA) screening in the ED (primary outcome). Secondary clinical practice outcomes: provision of written information on discharge (INFO) and safe discharge (defined as CT scan appropriately provided plus PTA plus INFO). Secondary patient-reported, post-discharge health outcomes: anxiety (Hospital Anxiety and Depression Scale), post-concussive symptoms (Rivermead), and preference-based health-related quality of life (SF6D). Methods: Trial-based economic evaluations from a health sector perspective, with time horizons set to coincide with the final follow-up for the NET sample (2 months post-intervention) and to 1-month post-discharge for the NET-Plus sample. Results: Intervention and control groups were not significantly different in health service utilisation received in the ED/inpatient ward following the initial mTBI presentation (adjusted mean difference $23.86 per patient; 95$106, $153; p = 0.719) or over the longer follow-up in the NET-plus sample (adjusted mean difference$341.78 per patient; 95%CI − $58,$742; p = 0.094). Savings from lower health service utilisation are therefore unlikely to offset the significantly higher upfront cost of the intervention (mean difference $138.20 per patient; 95$135, $141; p < 0.000). Estimates of the net effect of the intervention on total cost (intervention cost net of health service utilisation) suggest that the intervention entails significantly higher costs than the control condition (adjusted mean difference$169.89 per patient; 95%CI $43,$297, p = 0.009). This effect is larger in absolute magnitude over the longer follow-up in the NET-plus sample (adjusted mean difference $505.06; 95$96, $915; p = 0.016), mostly due to additional health service utilisation. For the primary outcome, the NET intervention is more costly and more effective than passive dissemination; entailing an additional cost of$1246 per additional patient appropriately screened for PTA ($169.89/0.1363; Fieller’s 95$525, $2055). For NET to be considered cost-effective with 95% confidence, decision-makers would need to be willing to trade one quality-adjusted life year (QALY) for 25 additional patients appropriately screened for PTA. While these results reflect our best estimate of cost-effectiveness given the data, it is possible that a NET intervention that has been scaled and streamlined ready for wider roll-out may be more or less cost-effective than the NET intervention as delivered in the trial. CONCLUSION: While the NET intervention does improve the management of mTBI in the ED, it also entails a significant increase in cost and—as delivered in the trial—is unlikely to be cost-effective at currently accepted funding thresholds. There may be a scope for a scaled-up and streamlined NET intervention to achieve a better balance between costs and outcomes. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12612001286831, date registered 12 December 2012

Do Doctors Vote?

BACKGROUND: Organizational leaders and scholars have issued calls for the medical profession to refocus its efforts on fulfilling the core tenets of professionalism. A key element of professionalism is participation in community affairs. OBJECTIVE: To measure physician voting rates as an indicator of civic participation. DESIGN: Cross-sectional survey of a subgroup of physicians from a nationally representative household survey of civilian, noninstitutionalized adult citizens. PARTICIPANTS: A total of 350,870 participants in the Current Population Survey (CPS) November Voter Supplement from 1996–2002, including 1,274 physicians and 1,886 lawyers; 414,989 participants in the CPS survey from 1976–1982, including 2,033 health professionals. MEASUREMENTS: Multivariate logistic regression models were used to compare adjusted physician voting rates in the 1996–2002 congressional and presidential elections with those of lawyers and the general population and to compare voting rates of health professionals in 1996–2002 with those in 1976–1992. RESULTS: After multivariate adjustment for characteristics known to be associated with voting rates, physicians were less likely to vote than the general population in 1998 (odds ratio 0.76; 95% confidence interval [CI] 0.59–0.99), 2000 (odds ratio 0.64; 95% CI 0.44–0.93), and 2002 (odds ratio 0.62; 95% CI 0.48–0.80) but not 1996 (odds ratio 0.83; 95% CI 0.59–1.17). Lawyers voted at higher rates than the general population and doctors in all four elections (P < .001). The pooled adjusted odds ratio for physician voting across the four elections was 0.70 (CI 0.61–0.81). No substantial changes in voting rates for health professionals were observed between 1976–1982 and 1996–2002. CONCLUSIONS: Physicians have lower adjusted voting rates than lawyers and the general population, suggesting reduced civic participation

The Surgical Nosology In Primary-care Settings (SNIPS): a simple bridging classification for the interface between primary and specialist care

BACKGROUND: The interface between primary care and specialist medical services is an important domain for health services research and policy. Of particular concern is optimising specialist services and the organisation of the specialist workforce to meet the needs and demands for specialist care, particularly those generated by referral from primary care. However, differences in the disease classification and reporting of the work of primary and specialist surgical sectors hamper such research. This paper describes the development of a bridging classification for use in the study of potential surgical problems in primary care settings, and for classifying referrals to surgical specialties. METHODS: A three stage process was undertaken, which involved: (1) defining the categories of surgical disorders from a specialist perspective that were relevant to the specialist-primary care interface; (2) classifying the 'terms' in the International Classification of Primary Care Version 2-Plus (ICPC-2 Plus) to the surgical categories; and (3) using referral data from 303,000 patient encounters in the BEACH study of general practice activity in Australia to define a core set of surgical conditions. Inclusion of terms was based on the probability of specialist referral of patients with such problems, and specialists' perception that they constitute part of normal surgical practice. RESULTS: A four-level hierarchy was developed, containing 8, 27 and 79 categories in the first, second and third levels, respectively. These categories classified 2050 ICPC-2 Plus terms that constituted the fourth level, and which covered the spectrum of problems that were managed in primary care and referred to surgical specialists. CONCLUSION: Our method of classifying terms from a primary care classification system to categories delineated by specialists should be applicable to research addressing the interface between primary and specialist care. By describing the process and putting the bridging classification system in the public domain, we invite comment and application in other settings where similar problems might be faced

SUPPORT Tools for evidence-informed health Policymaking (STP) 9: Assessing the applicability of the findings of a systematic review

This article is part of a series written for people responsible for making decisions about health policies and programmes and for those who support these decision makers