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OBJECTIVE: Ambulance-based secondary telephone triage systems have been established in ambulance services to divert low-acuity cases away from emergency ambulance dispatch. However, some low-acuity cases still receive an emergency ambulance dispatch following secondary triage. To date, no evidence exists identifying whether these cases required an emergency ambulance. The aim of this study was to investigate whether cases were appropriately referred for emergency ambulance dispatch following secondary telephone triage. METHODS: A retrospective cohort analysis was conducted of cases referred for emergency ambulance dispatch in Melbourne, Australia following secondary telephone triage between September 2009 and June 2012. Appropriateness was measured by assessing the frequency of advanced life support (ALS) treatment by paramedics, and paramedic transport to hospital. RESULTS: There were 23,696 cases included in this study. Overall, 54% of cases received paramedic treatment, which was similar to the state-wide rate for emergency ambulance cases (55.5%). All secondary telephone triage cases referred for emergency ambulance dispatch had transportation rates higher than all metropolitan emergency ambulance cases (82.2% versus 71.1%). Two-thirds of the cases that were transported were also treated by paramedics (66.5%), and 17.7% of cases were not transported to hospital by ambulance following paramedic assessment. CONCLUSIONS: Overall, the cases returned for emergency ambulance dispatch following secondary telephone triage were appropriate. Nevertheless, the paramedic treatment rates in particular indicate a considerable rate of overtriage requiring further investigation to optimize the efficacy of secondary telephone triage.

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OBJECTIVE: To inform the development of a patient-reported outcome measure, the aim of this study was to identify which symptoms and feelings following percutaneous coronary intervention (PCI) are most important to patients. DESIGN: Discrete-choice experiment consisting of two hypothetical scenarios of 10 symptoms and feelings (pain or discomfort; shortness of breath; concern/worry about heart problems; tiredness; confidence to do usual activities; ability to do usual activities; happiness; sleep disturbance; dizziness or light-headedness and bruising) experienced after PCI, described by three levels (never, some of the time, most of the time). Preference weights were estimated using a conditional logit model. SETTING: Four Australian public hospitals that contribute to the Victorian Cardiac Outcomes Registry (VCOR) and a private insurer's claim database. PARTICIPANTS: 138 people aged >18 years who had undergone a PCI in the previous 6 months. MAIN OUTCOME MEASURES: Patient preferences via trade-offs between 10 feelings and symptoms. RESULTS: Of the 138 individuals recruited, 129 (93%) completed all 16 choice sets. Conditional logit parameter estimates were mostly monotonic (eg, moving to worse levels for each individual symptom and feeling made the option less attractive). When comparing the magnitude of the coefficients (based on the coefficient of the worst level relative to best level in each item), feeling unhappy was the symptom or feeling that most influenced perception of a least-preferred PCI outcome (OR 0.42, 95% CI 0.34 to 0.51, p<0.0001) and the least influential was bruising (OR 0.81, 95% CI 0.67 to 0.99, p=0.04). CONCLUSION: This study provides new insights into how patients value symptoms and feelings they experience following a PCI.

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PURPOSE: Patient-reported outcome measures (PROMs) capture health information from the patient's perspective that can be used when weighing up benefits, risks and costs of treatment. This is important for elective procedures such as those for coronary revascularisation. Patients should be involved in the development of PROMs to accurately capture outcomes that are important for the patient. The aims of this review are to identify if patients were involved in the development of cardiovascular-specific PROMs used for assessing outcomes from elective coronary revascularisation, and to explore what methods were used to capture patient perspectives. METHODS: PROMs for evaluating outcomes from elective coronary revascularisation were identified from a previous review and an updated systematic search. The studies describing the development of the PROMs were reviewed for information on patient input in their conceptual and/or item development. RESULTS: 24 PROMs were identified from a previous review and three additional PROMs were identified from the updated search. Full texts were obtained for 26 of the 27 PROMs. The 26 studies (11 multidimensional, 15 unidimensional) were reviewed. Only nine studies reported developing PROMs using patient input. For eight PROMs, the inclusion of patient input could not be judged due to insufficient information in the full text. CONCLUSIONS: Only nine of the 26 reviewed PROMs used in elective coronary revascularisation reported involving patients in their conceptual and/or item development, while patient input was unclear for eight PROMs. These findings suggest that the patient's perspective is often overlooked or poorly described in the development of PROMs.

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BACKGROUND: Predicting case types that are unlikely to be treated by paramedics can aid in managing demand for emergency ambulances by identifying cases suitable for alternative management pathways. The aim of this study was to identify the patient characteristics and triage outcomes associated with 'no paramedic treatment' for cases referred for emergency ambulance dispatch following secondary telephone triage. METHODS: A retrospective cohort analysis was conducted of cases referred for emergency ambulance dispatch following secondary telephone triage between September 2009 and June 2012. Multivariable logistic regression modelling was used to identify explanatory variables associated with 'no paramedic treatment'. RESULTS: There were 19,041 cases eligible for inclusion in this study over almost three years, of which 8510 (44.7%) were not treated after being sent an emergency ambulance following secondary triage. Age, time of day, pain, triage guideline group, and comorbidities were associated with 'no paramedic treatment'. In particular, cases 0-4 years of age or those with psychiatric conditions were significantly less likely to be treated by paramedics, and increasing pain resulted in higher rates of paramedic treatment. CONCLUSIONS: This study highlights that case characteristics can be used to identify particular case types that may benefit from care pathways other than emergency ambulance dispatch. This process is also useful to identify gaps in the alternative care pathways currently available. These findings offer the opportunity to optimise secondary telephone triage services to support their strategic purpose of minimising unnecessary emergency ambulance demand and to match the right case with the right care pathway.

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BACKGROUND: Percutaneous coronary intervention (PCI) is a common cardiac procedure used to treat obstructive coronary artery disease. Patient-centred care is a priority in cardiovascular health having been shown to increase patient satisfaction, engagement with rehabilitation activities and reduce anxiety. Evidence indicates that patient-centred care is best achieved by routine collection of patient-reported outcomes (PROs). However, existing patient-reported outcome measures (PROMs) have limited the patient involvement in their development. AIMS: To identify and explore outcomes, patients perceive as important following PCI. METHODS: A qualitative design was adopted. Eight focus groups and five semi-structured interviews were conducted with 32 patients who had undergone PCI in the previous 6 months. Outcomes were identified and mapped under the U.S. Food and Drug Administration (FDA) patient-reported outcome (PROs) domains of feeling (physical and psychological outcomes), function and evaluation. Inductive and deductive analysis methods were used with open, axial and thematic coding. RESULTS: Consistent with prior studies, patients identified feeling and function outcomes such as reductions in physical and psychological symptoms and the ability to perform usual activities as important. Participants also identified a range of new outcomes, including confidence to return to usual activities and evaluation domains such as adverse effects of medications and the importance of patient communication. CONCLUSION: The findings of this research should be considered in the design of a cardiac PROM for PCI patients. A PROM which adequately assesses these outcomes can provide clinicians and hospital staff with a foundation in which to address these concerns or symptoms.

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OBJECTIVE: To investigate the appropriateness of cases presenting to the emergency department (ED) following ambulance-based secondary telephone triage. DESIGN: A pragmatic retrospective cohort analysis of all the planned and unplanned ED presentations within 48 hours of a secondary telephone triage. SETTING: The secondary telephone triage service, called the Referral Service, and the hospitals were located in metropolitan Melbourne, Australia and operated 24 hours a day, servicing 4.25 million people. The Referral Service provides an in-depth secondary triage of cases classified as low acuity when calling the Australian emergency telephone number. POPULATION: Cases triaged by the Referral Service between September 2009 and June 2012 were linked to ED and hospital admission records (N=44,523). Planned ED presentations were cases referred to the ED following the secondary triage, unplanned ED presentations were cases that presented despite being referred to alternative care pathways. MAIN OUTCOME MEASURES: Appropriateness was measured using an ED suitability definition and hospital admission rates. These were compared with mean population data which consisted of all of the ED presentations for the state (termed the 'average Victorian ED presentation'). RESULTS: Planned ED presentations were more likely to be ED suitable than unplanned ED presentations (OR 1.62; 95% CI 1.5 to 1.7; p<0.001) and the average Victorian ED presentation (OR 1.85; 95% CI 1.01 to 3.4; p=0.046). They were also more likely to be admitted to the hospital than the unplanned ED presentation (OR 1.5; 95% CI 1.4 to 1.6; p<0.001) and the average Victorian ED presentation (OR 2.3, 95% CI 2.24 to 2.33; p<0.001). Just under 15% of cases diverted away from the emergency care pathways presented in the ED (unplanned ED attendances), and 9.5% of all the alternative care pathway cases were classified as ED suitable and 6.5% were admitted to hospital. CONCLUSIONS: Secondary telephone triage was able to appropriately identify many ED suitable cases, and while most cases referred to alternative care pathways did not present in the ED. Further research is required to establish that these were not inappropriately triaged away from the emergency care pathways.

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BACKGROUND: When tested in a randomized controlled trial (RCT) of 31,411 patients, the nurse-led 6-PACK falls prevention program did not reduce falls. Poor implementation fidelity (i.e., program not implemented as intended) may explain this result. Despite repeated calls for the examination of implementation fidelity as an essential component of evaluating interventions designed to improve the delivery of care, it has been neglected in prior falls prevention studies. This study examined implementation fidelity of the 6-PACK program during a large multi-site RCT. METHODS: Based on the 6-PACK implementation framework and intervention description, implementation fidelity was examined by quantifying adherence to program components and organizational support. Adherence indicators were: 1) falls-risk tool completion; and for patients classified as high-risk, provision of 2) a 'Falls alert' sign; and 3) at least one additional 6-PACK intervention. Organizational support indicators were: 1) provision of resources (executive sponsorship, site clinical leaders and equipment); 2) implementation activities (modification of patient care plans; training; implementation tailoring; audits, reminders and feedback; and provision of data); and 3) program acceptability. Data were collected from daily bedside observation, medical records, resource utilization diaries and nurse surveys. RESULTS: All seven intervention components were delivered on the 12 intervention wards. Program adherence data were collected from 103,398 observations and medical record audits. The falls-risk tool was completed each day for 75% of patients. Of the 38% of patients classified as high-risk, 79% had a 'Falls alert' sign and 63% were provided with at least one additional 6-PACK intervention, as recommended. All hospitals provided the recommended resources and undertook the nine outlined program implementation activities. Most of the nurses surveyed considered program components important for falls prevention. CONCLUSIONS: While implementation fidelity was variable across wards, overall it was found to be acceptable during the RCT. Implementation failure is unlikely to be a key factor for the observed lack of program effectiveness in the 6-PACK trial. TRIAL REGISTRATION: The 6-PACK cluster RCT is registered with the Australian New Zealand Clinical Trials Registry, number ACTRN12611000332921 (29 March 2011).

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OBJECTIVES: To identify the predictors of traumatic spinal cord injury (TSCI) and describe the differences between confirmed and potential TSCI cases in the prehospital setting. METHODS: A retrospective cohort study including all adult patients over a six-year period (2007-12) with potential TSCI who were attended and transported by Ambulance Victoria (AV). We extracted potential TSCI cases from the AV data warehouse and linked with the Victorian State Trauma Registry to compare with final hospital diagnosis. RESULTS: We included a total of 106,059 patients with potential TSCI in the study, with 257 having a spinal cord injury confirmed at hospital (0.2%). The median [First and third Quartiles] age of confirmed TSCI cases was 49 [32-69] years, with males comprising 84.1%. Confirmed TSCI were mainly due to falls (44.8%) and traffic incidents (40.5%). AV spinal care guidelines had a sensitivity of 100% to detect confirmed TSCI. There were several factors associated with a diagnosis of TSCI. These were meeting AV Potential Major Trauma criteria, male gender, presence of neurological deficit, presence of an altered state of consciousness, high falls (> 3 meters), diving, or motorcycle or bicycle collisions. CONCLUSION: This study identified several predictors of TSCI including meeting AV Potential Major Trauma criteria, male gender, presence of neurological deficit, presence of an altered state of consciousness, high falls (> 3 meters), diving, or motorcycle or bicycle collisions. Most of these predictors are included in NEXUS and/or CCR criteria, however, Potential Major Trauma criteria have not previously been linked to the presence of TSCI. Therefore, Emergency Medical Systems are encouraged to integrate similar Potential Major Trauma criteria into their guidelines and protocols to further improve the provider's accuracy in identifying TSCI and to be more selective in their spinal immobilization, thereby reducing unwarranted adverse effects of this practice.

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BACKGROUND: The purpose of the study is to explore the reasons why specialist doctors travel to provide regular rural outreach services, and whether reasons relate to (1) salaried or private fee-for-service practice and (2) providing rural outreach services in more remote locations. METHODS: A national cross-sectional study of specialist doctors from the Medicine in Australia: Balancing Employment and Life (MABEL) survey in 2014 was implemented. Specialists providing rural outreach services self-reported on a 5-point scale their level of agreement with five reasons for participating. Chi-squared analysis tested association between agreement and variables of interest. RESULTS: Of 567 specialists undertaking rural outreach services, reasons for participating include to grow the practice (54%), maintain a regional connection (26%), provide complex healthcare (18%), healthcare for disadvantaged people (12%) and support rural staff (6%). Salaried specialists more commonly participated to grow the practice compared with specialists in fee-for-service practice (68 vs 49%). This reason was also related to travelling further and providing outreach services in outer regional/remote locations. Private fee-for-service specialists more commonly undertook outreach services to provide complex healthcare (22 vs 14%). CONCLUSIONS: Specialist doctors undertake rural outreach services for a range of reasons, mainly to complement the growth and diversity of their main practice or maintain a regional connection. Structuring rural outreach around the specialist's main practice is likely to support participation and improve service distribution.

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Objective Targeting rural outreach services to areas of highest relative need is challenging because of the higher costs it imposes on health workers to travel longer distances. This paper studied whether subsidies have the potential to support the provision of specialist outreach services into more remote locations. Methods National data about subsidies for medical specialist outreach providers as part of the Wave 7 Medicine in Australia: Balancing Employment and Life (MABEL) Survey in 2014. Results Nearly half received subsidies: 19% (n=110) from a formal policy, namely the Australian Government Rural Health Outreach Fund (RHOF), and 27% (n=154) from other sources. Subsidised specialists travelled for longer and visited more remote locations relative to the non-subsidised group. In addition, compared with non-subsidised specialists, RHOF-subsidised specialists worked in priority areas and provided equally regular services they intended to continue, despite visiting more remote locations. Conclusion This suggests the RHOF, although limited to one in five specialist outreach providers, is important to increase targeted and stable outreach services in areas of highest relative need. Other subsidies also play a role in facilitating remote service distribution, but may need to be more structured to promote regular, sustained outreach practice. What is known about this topic? There are no studies describing subsidies for specialist doctors to undertake rural outreach work and whether subsidies, including formal and structured subsidies via the Australian Government RHOF, support targeted outreach services compared with no financial support. What does this paper add? Using national data from Australia, we describe subsidisation among specialist outreach providers and show that specialists subsidised via the RHOF or another source are more likely to provide remote outreach services. What are the implications for practitioners? Subsidised specialist outreach providers are more likely to provide remote outreach services. The RHOF, as a formally structured comprehensive subsidy, further targets the provision of priority services into such locations on a regular, ongoing basis.

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BACKGROUND: Traumatic Spinal Cord Injury (TSCI) is relatively uncommon, yet a devastating and costly condition. Despite the human and social impacts, studies describing patients with potential TSCI in the pre-hospital setting are scarce. This paper aims to describe the epidemiology of patients potentially at risk of or suspected to have a TSCI by paramedics, with a view to providing a better understanding of factors associated with potential TSCI. METHODS: This is a retrospective cohort study of all adult patients managed and transported by Ambulance Victoria (AV) between 01 January 2007 and 31 December 2012 who, based on meeting pre-hospital triage protocols and criteria for spinal clearance, paramedic suspicion or spinal immobilisation, were classified to be at risk of or suspected to have a TSCI. Data was extracted from the AV data warehouse, including demographic details, trauma aetiology, paramedic assessment, management and other event characteristics. RESULTS: A total of 106,059cases were included in the study, representing 2.3 % of all emergency transports by AV. Subjects had a median age of 51 years (interquartile range; 29-78) and 52.4 % were males (95 % CI 52-52.7). Males were significantly younger than females (M: 43 years [26-65] vs. F: 64 years [36-84], p =0.001). Falls and traffic accidents were the leading causes of injuries, comprising 46.9 and 39.4 % of cases, respectively. Other causes included accidents due to sport, animals, industrial work and diving, as well as violence and hanging. 29.9 % of patients were transported to a Major Trauma Service (MTS). A proportion of 48.8 % of the study population met the Pre-hospital Major Trauma criteria. CONCLUSION: This is the first study to describe the epidemiology of potential TSCI in Australia and is based on a large, state-wide sample. It provides background knowledge and a baseline for future research, as well as a reference point for future in policy. Falling and traffic related injuries were the leading causes of potential SCI. Future research is required to identify the proportion of confirmed TSCI among the potentials and factors associated with TSCI in prehospital settings.

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BACKGROUND: We have recently demonstrated that an obese-years construct is a better predictor of the risk of diabetes than the severity of body weight alone. However, these risk estimates were derived from a population cohort study initiated in 1948 that might not apply to the current population. OBJECTIVE: To validate an obese-years construct in estimating the risk of type-2 diabetes in a more contemporary cohort study. DESIGN: A total of 5,132 participants of the Framingham Offspring Study, initiated in 1972, were followed up for 45 years. Body mass index (BMI) above 29 kg/m(2) was multiplied by the number of years lived with obesity at that BMI to define the number of obese-years. Time-dependent Cox regression was used to explore the association. RESULTS: The risk of type-2 diabetes increased significantly with increase in obese-years. Adjusted hazard ratios increased by 6% (95% CI: 5-7%) per additional 10 points of obese-years. This ratio was observed to be similar in both men and women, but was 4% higher in current smokers than in never/ex-smokers. The Akaike Information Criterion confirmed that the Cox regression model with the obese-years construct was a stronger predictor of the risk of diabetes than a model including either BMI or the duration of obesity alone. CONCLUSIONS: In a contemporary cohort population, it was confirmed that the obese-years construct is strongly associated with an increased risk of type-2 diabetes. This suggests that both severity and the duration of obesity should be considered in future estimations of the burden of disease associated with obesity.

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Objective The aim of the present study was to describe the Ambulance Victoria (AV) secondary telephone triage service, called the Referral Service (RS), for low-priority patients calling triple zero. This service provides alternatives to ambulance dispatch, such as doctor or nurse home visits. Methods A descriptive epidemiological review of all the cases managed between 2009 and 2012 was conducted, using data from AV case records, the Victorian Admitted Episodes Dataset and the Australian Bureau of Statistics. Cases were reviewed for patient demographics, condition, final disposition and RS outcome. Results In all, 107148 cases were included in the study, accounting for 10.3% of the total calls for ambulance attendance. Median patient age was 54 years and 55% were female. Geographically based socioeconomic status was associated with the rate of calls to the RS (r=-0.72; 95% confidence interval CI -0.104, -0.049; P<0.001). Abdominal pain and back symptoms were the most common patient problems. Although 68% of patients were referred to the emergency department, only 27.6% of the total cases were by emergency ambulance; the remainder were diverted to non-emergency ambulance or the patient's own private transport. The remaining 32% of cases were referred to alternative service providers or given home care advice. Conclusions This paper describes the use of an ongoing secondary triage service, providing an effective strategy for managing emergency ambulance demand. What is known about the topic? Some calls to emergency services telephone numbers for ambulance assistance consist of cases deemed to be low-acuity that could potentially be better managed in the primary care setting. The demand on ambulance resources is increasing each year. Secondary telephone triage systems have been trialled in ambulance services in the US and UK with minimal success in terms of overall impact on ambulance resourcing. What does this paper add? This study describes a model of secondary telephone triage in the ambulance setting that has provided an effective way to divert patients to more suitable forms of health care to meet their needs. What are the implications for practitioners? The implications for practitioners are vast. Some of the issues that currently face paramedics include: fatigue because of high workloads; skills decay because of a lack of exposure to patients requiring intervention with skills the paramedics have, as well as a lack of time for paramedics to practice these skills during their downtime; and decreasing job satisfaction linked to both these factors. Implications for patients include quicker response times because more ambulances will be available to respond and increased patient safety because of decreased fatigue and higher skill levels in paramedics.

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Objective This paper describes the service distribution and models of rural outreach by specialist doctors living in metropolitan or rural locations. Methods The present study was a national cross-sectional study of 902 specialist doctors providing 1401 rural outreach services in the Medicine in Australia: Balancing Employment and Life study, 2008. Five mutually exclusive models of rural outreach were studied. Results Nearly half of the outreach services (585/1401; 42%) were provided to outer regional or remote locations, most (58%) by metropolitan specialists. The most common model of outreach was drive-in, drive-out (379/902; 42%). In comparison, metropolitan-based specialists were less likely to provide hub-and-spoke models of service (odd ratio (OR) 0.31; 95% confidence interval (CI) 0.21-0.46) and more likely to provide fly-in, fly-out models of service (OR 4.15; 95% CI 2.32-7.42). The distance travelled by metropolitan specialists was not affected by working in the public or private sector. However, rural-based specialists were more likely to provide services to nearby towns if they worked privately. Conclusions Service distribution and models of outreach vary according to where specialists live as well as the practice sector of rural specialists. Multilevel policy and planning is needed to manage the risks and benefits of different service patterns by metropolitan and rural specialists so as to promote integrated and accessible services. What is known about this topic? There are numerous case studies describing outreach by specialist doctors. However, there is no systematic evidence describing the distribution of rural outreach services and models of outreach by specialists living in different locations and the broad-level factors that affect this. What does this paper add? The present study provides the first description of outreach service distribution and models of rural outreach by specialist doctors living in rural versus metropolitan areas. It shows that metropolitan and rural-based specialists have different levels of service reach and provide outreach through different models. Further, the paper highlights that practice sector has no effect on metropolitan specialists, but private rural specialists limit their travel distance. What are the implications for practitioners? The complexity of these patterns highlights the need for multilevel policy and planning approaches to promote integrated and accessible outreach in rural and remote Australia.

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This study aimed to evaluate the effectiveness of a telephone health coaching and support service provided to members of an Australian private health insurance fund-Telephonic Complex Care Program (TCCP)-on hospital use and associated costs. A case-control pre-post study design was employed using propensity score matching. Private health insurance members (n=273) who participated in TCCP between April and December 2012 (cases) were matched (1:1) to members who had not previously been enrolled in the program or any other disease management programs offered by the insurer (n=232). Eligible members were community dwelling, aged ≥65 years, and had 2 or more hospital admissions in the 12 months prior to program enrollment. Preprogram variables that estimated the propensity score included: participant demographics, diagnoses, and hospital use in the 12 months prior to program enrollment. TCCP participants received one-to-one telephone support, personalized care plan, and referral to community-based services. Control participants continued to access usual health care services. Primary outcomes were number of hospital admission claims and total benefits paid for all health care utilizations in the 12 months following program enrollment. Secondary outcomes included change in total benefits paid, hospital benefits paid, ancillary benefits paid, and total hospital bed days over the 12 months post enrollment. Compared with matched controls, TCCP did not appear to reduce health care utilization or benefits paid in the 12 months following program enrollment. However, program characteristics and implementation may have impacted its effectiveness. In addition, challenges related to evaluating complex health interventions such as TCCP are discussed. (Population Health Management 2016;19:187-195).

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OBJECTIVE: To quantify the additional hospital length of stay (LOS) and costs associated with in-hospital falls and fall injuries in acute hospitals in Australia. DESIGN, SETTING AND PARTICIPANTS: A multisite prospective cohort study conducted during 2011-2013 in the control wards of a falls prevention trial (6-PACK). The trial included all admissions to 12 acute medical and surgical wards of six Australian hospitals. In-hospital falls data were collected from medical record reviews, daily verbal reports by ward nurse unit managers, and hospital incident reporting and administrative databases. Clinical costing data were linked for three of the six participating hospitals to calculate patient-level costs. OUTCOME MEASURES: Hospital LOS and costs associated with in-hospital falls and fall injuries for each patient admission. RESULTS: We found that 966 of a total of 27 026 hospital admissions (3.6%) involved at least one fall, and 313 (1.2%) at least one fall injury, a total of 1330 falls and 418 fall injuries. After adjustment for age, sex, cognitive impairment, admission type, comorbidity and clustering by hospital, patients who had an in-hospital fall had a mean increase in LOS of 8 days (95% CI, 5.8-10.4; P < 0.001) compared with non-fallers, and incurred mean additional hospital costs of $6669 (95% CI, $3888-$9450; P < 0.001). Patients with a fall-related injury had a mean increase in LOS of 4 days (95% CI, 1.8-6.6; P = 0.001) compared with those who fell without injury, and there was also a tendency to additional hospital costs (mean, $4727; 95% CI, -$568 to $10 022; P = 0.080). CONCLUSION: Patients who experience an in-hospital fall have significantly longer hospital stays and higher costs. Programs need to target the prevention of all falls, not just the reduction of fall-related injuries.

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OBJECTIVE: To explore the characteristics of specialists who provide ongoing rural outreach services and whether the nature of their service patterns contributes to ongoing outreach. DESIGN, PARTICIPANTS AND SETTING: Specialist doctors providing rural outreach in a large longitudinal survey of Australian doctors in 2008, together with new entrants to the survey in 2009, were followed up to 2011. MAIN OUTCOME MEASURES: Providing outreach services to the same rural town for at least 3 years. RESULTS: Of 953 specialists who initially provided rural outreach services, follow-up data were available for 848. Overall, 440 specialists (51.9%) provided ongoing outreach services. Multivariate analysis found that participation was associated with being male (odds ratio [OR], 1.82; 95% CI, 1.28-2.60), in mid-career (45-64 years old; OR, 1.44; 95% CI, 1.04-1.99), and working in mixed, mainly private practice (OR, 1.73; 95% CI, 1.18-2.53). Specialists working only privately were less likely to provide ongoing outreach (OR 0.51; 95% CI, 0.32-0.82), whereas metropolitan and rural-based specialists were equally likely to do so. Separate univariate analysis showed travelling further to remote towns had no effect on ongoing service provision. Outreach to smaller towns was associated with improved stability. CONCLUSIONS: Around half of specialists providing rural outreach services continue to visit the same town on an ongoing basis. More targeted outreach service strategies should account for career stage and practice conditions to help sustain access. Financial incentives may increase ongoing service provision by specialists only working privately. There is some indication that outreach services delivered to smaller communities are more stable.

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OBJECTIVE: To estimate the potential improvement in acute and rehabilitation hospital length of stay for rehabilitation patients from hypothetical scenarios that address barriers to patient flow. DESIGN: Data about the duration of key processes for patients (n = 360) admitted to acute hospitals and subsequently transferred to inpatient rehabilitation in 2 wards in Melbourne, Australia were used to develop a computer simulation model. SUBJECTS: Simulated patients. METHODS: A computer model of length of stay was developed, validation checks performed and alternate care pathways simulated. RESULTS: Almost all scenarios resulted in significant changes in the length of stay compared with baseline. The effect size for the changes was typically small to medium. The duration of the rehabilitation discharge barriers showed significant changes in all hypothetical scenarios. The effect size was smaller when changes were made to a single barrier, but larger when multiple barriers were changed simultaneously. CONCLUSION: Health system modelling can provide information regarding potential improvements in length of stay from addressing barriers to patient flow affecting rehabilitation patients. This can inform reforms to models of care and assist with cost benefit analyses.

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BACKGROUND: Spinal cord injuries occur worldwide; often being life-threatening with devastating long term impacts on functioning, independence, health, and quality of life. OBJECTIVES: Systematic review of the literature to determine the efficacy of cervical spinal immobilisation (vs no immobilisation) in patients with suspected cervical spinal cord injury (CSCI); and to provide recommendations for prehospital spinal immobilisation. METHODS: Searches were conducted of the Cochrane library, CINAHL, EMBASE, Pubmed, Scopus, Web of science, Google scholar, and OvidSP (MEDLINE, PsycINFO, and DARE) databases. Studies were included if they were relevant to the research question, published in English, based in the prehospital setting, and included adult patients with traumatic injury. RESULTS: The search identified 1471 citations, of which eight observational studies of variable quality were included. Four studies were retrospective cohorts, three were case series and one a case report. Cervical collar application was reported in penetrating trauma to be associated with unadjusted increased risk of mortality in two studies [(OR, 8.82; 95% CI, 1.09-194; p=0.038) & (OR, 2.06; 95% CI, 1.35-3.13)], concealment of neck injuries in one study and increased scene time in another study. While, in blunt trauma, one study indicated that immobilisation might be associated with worsened neurological outcome (OR, 2.03; 95% CI, 1.03-3.99; p=0.04, unadjusted). We did not attempt to combine study results due to significant heterogeneity of study design and outcome measures. CONCLUSION: There is a lack of high-level evidence on the effect of prehospital cervical spine immobilisation on patient outcomes. There is a clear need for large prospective studies to determine the clinical benefit of prehospital spinal immobilisation as well as to identify the subgroup of patients most likely to benefit.

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