Mental health systems modelling for evidence-informed service reform in Australia.

Australia's Fifth National Mental Health Plan required governments to report, not only on the progress of changes to mental health service delivery, but to also plan for services that should be provided. Future population demand for treatment and care is challenging to predict and one solution involves modelling the uncertain demands on the system. Modelling can help decision-makers understand likely future changes in mental health service demand and more intelligently choose appropriate responses. It can also support greater scrutiny, accountability and transparency of these processes. Australia has an emerging national capacity for systems modelling in mental health which can enhance the next phase of mental health reform. This paper introduces concepts useful for understanding mental health modelling and identifies where modelling approaches can support health service planners to make evidence-informed decisions regarding planning and investment for the Australian population.

The effect of professional portfolio learning on nursing students' professional self-concepts in geriatric adult internship: a- quasi-experimental study.

BACKGROUND: Professional self-concept is one of the important outcomes of nursing professionalism. There is a lack of adequately planned curriculum may limit nursing students' practical knowledge, skills and professional self-concept in providing comprehensive geriatric-adult care and promoting nursing professionalism. Professional portfolio learning strategy has allowed nursing students to continue professional development and enhance nursing professionalism in professional clinical practice. However, there is little empirical evidence in nursing education to support the use of professional portfolios in blended learning modality among internship nursing students. Therefore, this study aims to examine the effect of the blended professional portfolio learning on professional self-concept among undergraduate nursing students during Geriatric-Adult internship. METHODS: A quasi-experimental study two-group pre-test post-test design. A total of 153 eligible senior undergraduate students completed the study (76 in the intervention group and 77 in the control group). They were recruited from two Bachelor of Sciences in Nursing (BSN) cohorts from nursing schools at Mashhad University of Medical Sciences (MUMS), in Iran, in January 2020. Randomization was undertaken at the level of school via a simple lottery method. The intervention group received the professional portfolio learning program as a holistic blended learning modality, though the control group received conventional learning during professional clinical practice. A demographic questionnaire and the Nurse Professional Self-concept questionnaire were used for data collection. RESULTS: The findings imply the effectiveness of the blended PPL program. Results of Generalized Estimating Equation (GEE) analysis was indicated significantly improved professional self-concept development and its dimensions (self-esteem, caring, staff relation, communication, knowledge, leadership) with high effect size. The results of the between-group comparison for professional self-concept and its dimensions at different time points (pre, post and follow up test) showed a significant difference between groups at post-test and follow up test (p < 0.05),while at pre-test there was no important dissimilarity between two groups (p > 0.05).The results of within-group comparison for both control and intervention showed that there were significant differences in professional self-concept and for all its dimensions across the time from pre-test to post-test and follow-up (p < 0.05), and also from post-test to follow-up it was significant (p < 0.05) for both groups. CONCLUSION: This professional portfolio learning program demonstrates as an innovative and holistic blended teaching-learning approach to improve professional self-concept during professional clinical practice among undergraduate nursing students. It appears that the use of a blended designed of professional portfolio can promote a link between theory and the advancement of geriatric adult nursing internship practice. The data obtained from the present study can be useful for nursing education to evaluate and redesign a curriculum for development of nursing professionalism as a quality improvement process and groundwork to develop new models of teaching-learning and assessment.

The role of geographic information system and global positioning system in dementia care and research: a scoping review.

BACKGROUND: Geographic Information System (GIS) and Global Positioning System (GPS), vital tools for supporting public health research, provide a framework to collect, analyze and visualize the interaction between different levels of the health care system. The extent to which GIS and GPS applications have been used in dementia care and research is not yet investigated. This scoping review aims to elaborate on the role and types of GIS and GPS applications in dementia care and research. METHODS: A scoping review was conducted based on Arksey and O'Malley's framework. All published articles in peer-reviewed journals were searched in PubMed, Scopus, and Web of Science, subject to involving at least one GIS/GPS approach focused on dementia. Eligible studies were reviewed, grouped, and synthesized to identify GIS and GPS applications. The PRISMA standard was used to report the study. RESULTS: Ninety-two studies met our inclusion criteria, and their data were extracted. Six types of GIS/GPS applications had been reported in dementia literature including mapping and surveillance (n = 59), data preparation (n = 26), dementia care provision (n = 18), basic research (n = 18), contextual and risk factor analysis (n = 4), and planning (n = 1). Thematic mapping and GPS were most frequently used techniques in the dementia field. CONCLUSIONS: Even though the applications of GIS/GPS methodologies in dementia care and research are growing, there is limited research on GIS/GPS utilization in dementia care, risk factor analysis, and dementia policy planning. GIS and GPS are space-based systems, so they have a strong capacity for developing innovative research based on spatial analysis in the area of dementia. The existing research has been summarized in this review which could help researchers to know the GIS/GPS capabilities in dementia research.

Association between heavy metals and colon cancer: an ecological study based on geographical information systems in North-Eastern Iran.

BACKGROUND: Colorectal cancer has increased in Middle Eastern countries and exposure to environmental pollutants such as heavy metals has been implicated. However, data linking them to this disease are generally lacking. This study aimed to explore the spatial pattern of age-standardized incidence rate (ASR) of colon cancer and its potential association with the exposure level of the amount of heavy metals existing in rice produced in north-eastern Iran. METHODS: Cancer data were drawn from the Iranian population-based cancer registry of Golestan Province, north-eastern Iran. Samples of 69 rice milling factories were analysed for the concentration levels of cadmium, nickel, cobalt, copper, selenium, lead and zinc. The inverse distance weighting (IDW) algorithm was used to interpolate the concentration of this kind of heavy metals on the surface of the study area. Exploratory regression analysis was conducted to build ordinary least squares (OLS) models including every possible combination of the candidate explanatory variables and chose the most useful ones to show the association between heavy metals and the ASR of colon cancer. RESULTS: The highest concentrations of heavy metals were found in the central part of the province and particularly counties with higher amount of cobalt were shown to be associated with higher ASR of men with colon cancer. In contrast, selenium concentrations were higher in areas with lower ASR of colon cancer in men. A significant regression equation for men with colon cancer was found (F(4,137) = 38.304, P < .000) with an adjusted R2 of 0.77. The predicted ASR of men colon cancer was - 58.36 with the coefficients for cobalt = 120.33; cadmium = 80.60; selenium = - 6.07; nickel = - 3.09; and zinc = - 0.41. The association of copper and lead with colon cancer in men was not significant. We did not find a significant outcome for colon cancer in women. CONCLUSION: Increased amounts of heavy metals in consumed rice may impact colon cancer incidence, both positively and negatively. While there were indications of an association between high cobalt concentrations and an increased risk for colon cancer, we found that high selenium concentrations might instead decrease the risk. Further investigations are needed to clarify if there are ecological or other reasons for these discrepancies. Regular monitoring of the amount of heavy metals in consumed rice is recommended.

Identifying community chronic kidney disease risk profile utilising general practice clinical records and spatial analysis: approach to inform policy and practice.

BACKGROUND: Chronic kidney disease (CKD) causes a significant health burden in Australia, and up to 50% of Australians with CKD remain undiagnosed. AIMS: To estimate the 5-year risk for CKD from general practice (GP) clinical records and to investigate the spatial variation and hot spots of CKD risk in an Australian community. METHOD: A cross-sectional study was designed using de-identified GP clinical data recorded from 2010 to 2015. A total of 16 GP participated in this study from West Adelaide, Australia. We used health records of 36 565 patients aged 35-74 years, with no prior history of CKD. The 5-year estimated CKD risk was calculated using the QKidney algorithm. Individuals' risk score was aggregated to Statistical Area Level 1 to predict the community CKD risk. A spatial hotspot analysis was applied to identify the communities with greater risk. RESULTS: The mean estimated 5-year risk for CKD in the sample population was 0.95% (0.93-0.97). Overall, 2.4% of the study population was at high risk of CKD. Significant hot spots and cold spots of CKD risk were identified within the study region. Hot spots were associated with lower socioeconomic status. CONCLUSIONS: This study demonstrated a new approach to explore the spatial variation of CKD risk at a community level, and implementation of a risk prediction model into a clinical setting may aid in early detection and increase disease awareness in regions of unmet CKD care.

Spatial and temporal analysis of myocardial infarction incidence in Zanjan province, Iran.

BACKGROUND: Myocardial Infarction (MI) is a major important public health concern and has huge burden on health system across the world. This study aimed to explore the spatial and temporal analysis of the incidence of MI to identify potential clusters of the incidence of MI patterns across rural areas in Zanjan province, Iran. MATERIALS & METHODS: This was a retrospective and geospatial analysis study of the incidence of MI data from nine hospitals during 2014-2018. Three different spatial analysis methods (Spatial autocorrelation, hot spot analysis and cluster and outlier analysis) were used to identify potential clusters and high-risk areas of the incidence of MI at the study area. RESULTS: Three thousand eight hundred twenty patients were registered at Zanjan hospitals due to MI during 2014-2018. The overall age-adjusted incidence rate of MI was 343 cases per 100,000 person which was raised from 88 cases in 2014 to 114 cases in 2018 per 100,000 person-year (a 30% increase, P < 0.001). Golabar region had the highest age-adjusted incidence rate of MI (515 cases per 100,000 person). Five hot spots and one high-high cluster were detected using spatial analysis methods. CONCLUSION: This study showed that there is a great deal of spatial variations in the pattern of the incidence of MI in Zanjan province. The high incidence rate of MI in the study area compared to the national average, is a warning to local health authorities to determine the possible causes of disease incidence and potential drivers of high-risk areas. The spatial cluster analysis provides new evidence for policy-makers to design tailored interventions to reduce the incidence of MI and allocate health resource to unmet need areas.

Spatio-temporal epidemiology of the tuberculosis incidence rate in Iran 2008 to 2018.

BACKGROUND: Effective reduction of tuberculosis (TB) requires information on the distribution of TB incidence rate across time and location. This study aims to identify the spatio-temporal pattern of TB incidence rate in Iran between 2008 and 2018. METHODS: This cross-sectional study was conducted on aggregated TB data (50,500 patients) at the provincial level provided by the Ministry of Health in Iran between 2008 and 2018. The Anselin Local Moran's I and Getis-Ord Gi* were performed to identify the spatial variations of the disease. Furthermore, spatial scan statistic was employed for purely temporal and spatio-temporal analyses. In all instances, the null hypothesis of no clusters was rejected at p ≤ 0.05. RESULTS: The overall incidence rate of TB decreased from 13.46 per 100,000 (95% CI: 13.19-13.73) in 2008 to 10.88 per 100,000 (95% CI: 10.65-11.11) in 2018. The highest incidence rate of TB was observed in southeast and northeast of Iran for the whole study period. Additionally, spatial cluster analysis discovered Khuzestan Province, in the West of the country, having significantly higher rates than neighbouring provinces in terms of both total TB and smear-positive pulmonary TB (SPPTB). Purely temporal analysis showed that high-rate and low-rate clusters were predominantly distributed in the time periods 2010-2014 and 2017-2018. Spatio-temporal results showed that the statistically significant clusters were mainly distributed from centre to the east during the study period. Some high-trend TB and SPPTB statistically significant clusters were found. CONCLUSION: The results provided an overview of the latest TB spatio-temporal status In Iran and identified decreasing trends of TB in the 2008-2018 period. Despite the decreasing incidence rate, there is still need for screening, and targeting of preventive interventions, especially in high-risk areas. Knowledge of the spatio-temporal pattern of TB can be useful for policy development as the information regarding the high-risk areas would contribute to the selection of areas needed to be targeted for the expansion of health facilities.

Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice.

BACKGROUND: Response time to cardiovascular emergency medical requests is an important indicator in reducing cardiovascular disease (CVD) -related mortality. This study aimed to visualize the spatial-time distribution of response time, scene time, and call-to-hospital time of these emergency requests. We also identified patterns of clusters of CVD-related calls. METHODS: This cross-sectional study was conducted in Mashhad, north-eastern Iran, between August 2017 and December 2019. The response time to every CVD-related emergency medical request call was computed using spatial and classical statistical analyses. The Anselin Local Moran's I was performed to identify potential clusters in the patterns of CVD-related calls, response time, call-to-hospital arrival time, and scene-to-hospital arrival time at small area level (neighborhood level) in Mashhad, Iran. RESULTS: There were 84,239 CVD-related emergency request calls, 61.64% of which resulted in the transport of patients to clinical centers by EMS, while 2.62% of callers (a total of 2218 persons) died before EMS arrival. The number of CVD-related emergency calls increased by almost 7% between 2017 and 2018, and by 19% between 2017 and 2019. The peak time for calls was between 9 p.m. and 1 a.m., and the lowest number of calls were recorded between 3 a.m. and 9 a.m. Saturday was the busiest day of the week in terms of call volume. There were statistically significant clusters in the pattern of CVD-related calls in the south-eastern region of Mashhad. Further, we found a large spatial variation in scene-to-hospital arrival time and call-to-hospital arrival time in the area under study. CONCLUSION: The use of geographical information systems and spatial analyses in modelling and quantifying EMS response time provides a new vein of knowledge for decision makers in emergency services management. Spatial as well as temporal clustering of EMS calls were present in the study area. The reasons for clustering of unfavorable time indices for EMS response requires further exploration. This approach enables policymakers to design tailored interventions to improve response time and reduce CVD-related mortality.

The association between living in socially fragmented neighbourhoods and psychological distress among immigrant and non-immigrant people aged 45 and over in NSW, Australia.

OBJECTIVE: Immigrants' mental health is a growing public health concern. Neighbourhood characteristics in the host society may contribute to the poor mental health observed among immigrants. In this study, we aimed to investigate the association between neighbourhood-level social fragmentation and socioeconomic characteristics with psychological distress among immigrants and non-immigrants living in Australia. METHODOLOGY: We conducted cross-sectional secondary data analysis of 228,039 participants from the Sax Institute's 45 and Up Study, with psychological distress measured with the Kessler 10 (K10) and area-level social fragmentation and economic advantage/disadvantage measured at the statistical area level 1 (areas containing approximately 400 people). Multilevel logistic models were used to examine the extent to which differences across the least and most fragmented and economic advantage/disadvantage neighbourhoods contributed to the prevalence of high psychological distress (K10 score ⩾ 22). RESULTS: Immigrants accounted for about 23% of the sample. Slightly more immigrants (34.8%) compared to non-immigrants (32.9%) lived in fragmented areas. Although immigrants were over represented in areas with socioeconomic advantage (40% vs 33.9%), the prevalence of high psychological distress in neighbourhoods with higher social fragmentation and socioeconomic disadvantage was higher in immigrants than non-immigrants. Immigrants had 17% (95% confidence interval = [12%, 22%]) higher odds of having high psychological distress compared to non-immigrants. There was no evidence of an interaction between social fragmentation or socioeconomic disadvantage and immigrant status. Living in fragmented or socioeconomically disadvantaged areas was associated with higher psychological distress among immigrants and non-immigrants. English as a second language and low annual income were significant predictors of psychological distress in immigrants over and above area-level characteristics. CONCLUSION: Immigrants are vulnerable to mental health issues, but the characteristics of the area they live in are also important. Helping immigrants settle into well-integrated and economically advantaged areas may decrease the possibility of mental health issues.

Diabetes and the use of primary care provider services in rural, remote and metropolitan Australia.

INTRODUCTION: Public health agencies around the world are concerned about an ever-increasing burden of type 2 diabetes and related disability. Access to primary care providers (PCPs) can support early diagnosis and management. However, there is limited literature on how frequently older people with diabetes access PCPs, and their levels of access in rural Australia relative to metropolitan areas. METHODS: In this research, patterns of PCP use among those with diagnosed diabetes and those without diagnosed diabetes (referred to as 'healthy' individuals) were compared using a large survey of more than 230 000 people aged 45 years and older from New South Wales, Australia. A published model to study the PCP access patterns of a group of individuals with diabetes risk was used. RESULTS: Annual visits to PCPs among people aged 45 years or more with diabetes in rural areas, while higher than for healthy rural residents, were significantly lower than their metropolitan counterparts, mirroring similar disparities in PCP use across the rural-urban divide in the healthy population. Similar patterns were present in the high-risk population. Nevertheless, people with diabetes visited PCPs around four times a year, which is around the recommended number of annual visits, although some groups (eg those with comorbidities) may need more visits. CONCLUSION: Patterns of PCP use among rural residents, while significantly less frequent than their metropolitan counterparts, are at the recommended level for people with diabetes.

Spatio-temporal mapping of breast and prostate cancers in South Iran from 2014 to 2017.

BACKGROUND: The most common gender-specific malignancies are cancers of the breast and the prostate. In developing countries, cancer screening of all at risk is impractical because of healthcare resource limitations. Thus, determining high-risk areas might be an important first screening step. This study explores incidence patterns of potential high-risk clusters of breast and prostate cancers in southern Iran. METHODS: This cross-sectional study was conducted in the province of Kerman, South Iran. Patient data were aggregated at the county and district levels calculating the incidence rate per 100,000 people both for cancers of the breast and the prostate. We used the natural-break classification with five classes to produce descriptive maps. A spatial clustering analysis (Anselin Local Moran's I) was used to identify potential clusters and outliers in the pattern of these cancers from 2014 to 2017. RESULTS: There were 1350 breast cancer patients (including, 42 male cases) and 478 prostate cancer patients in the province of Kerman, Iran during the study period. After 45 years of age, the number of men with diagnosed prostate cancer increased similarly to that of breast cancer for women after 25 years of age. The age-standardised incidence rate of breast cancer for women showed an increase from 29.93 to 32.27 cases per 100,000 people and that of prostate cancer from 13.93 to 15.47 cases per 100,000 during 2014-2017. Cluster analysis at the county level identified high-high clusters of breast cancer in the north-western part of the province for all years studied, but the analysis at the district level showed high-high clusters for only two of the years. With regard to prostate cancer, cluster analysis at the county and district levels identified high-high clusters in this area of the province for two of the study years. CONCLUSIONS: North-western Kerman had a significantly higher incidence rate of both breast and prostate cancer than the average, which should help in designing tailored screening and surveillance systems. Furthermore, this study generates new hypotheses regarding the potential relationship between increased incidence of cancers in certain geographical areas and environmental risk factors.

Prevalence of modifiable cardiovascular risk factors in Yazd inner-city municipalities.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death in the world. With effective intervention and control of cardiovascular risk factors, mortality rates may be reduced. The aim of this study was to investigate the prevalence of modifiable risk factors across five municipalities in Yazd city. METHODS: Ten thousand residents of the Yazd greater area aged 20-69 years were selected using cluster random sampling method. Overall, 200 clusters were randomly selected based on the postcodes of residents who lived in the five municipalities of Yazd. Those who lived in Yazd annexed cities and rural areas were excluded. A valid questionnaire was completed and physical examination performed as done (94.9% response rate). Instances of self-reported diabetes mellitus, high blood cholesterol, tobacco smoking, and unhealthy diet were recorded. Blood pressure, height, and weight were measured and physical activity was classified by International Physical Activity Questionnaire (IPAQ). A chi-square test was used to analyze the differences in variables across municipalities. Statistical analyses were performed using SPSS V. 16. RESULTS: We analyzed 8749 participants' data from Yazd city. The prevalence of diabetes mellitus, hypercholesterolemia, and hypertension were 14.1, 16.7 and 18.6%, respectively. One in every four people consumed the recommended five servings of vegetables per day. Fish consumption was less than 5% at least once a week among participants. An unhealthy diet (85.7%); low physical activity (52.2%), hypertension (36.7%) and obesity (26.3%) were the most common cardiovascular risk factors. Only 2.1% of adults had no risk factors for CVD, and almost 75% of people had more than one risk factor. The prevalence of risk factors (excluding hypertension) was significantly different across the municipalities. Residents of region three had the highest prevalence of all risk factors aside from inactivity and unhealthy diet. CONCLUSION: unhealthy dietary habits and inactivity are the most common modifiable risk factors of CVD in Yazd. Spatial variations of cardiovascular risk factors observed. This geographic health inequality requires more attention from policymakers to control CVD risk factors across different municipalities accordingly. Promoting healthy lifestyle is the top priority of health intervention programs. It is recommended to increase access to sport arenas and restrict access to tobacconist in high-risk areas.

Multiple-scale spatial analysis of paediatric, pedestrian road traffic injuries in a major city in North-Eastern Iran 2015-2019.

BACKGROUND: Paediatric, pedestrian road traffic injuries (PPRTIs) constitute a major cause of premature death in Iran. Identification of high-risk areas would be the primary step in designing policy intervention for PPRTI reduction because environmental factors play a significant role in these events. The present study aims to determine high-risk areas for PPRTIs at three different geographical scales, including the grid network, the urban neighbourhood and the street levels in Mashhad, Iran during the period 2015-2019. METHODS: This cross-sectional retrospective study was based on all pedestrian accidents with motor vehicles involving children (less than 18 years of age) between March 2015 and March 2019 in the city of Mashhad, which is the second-most populous city in Iran. The Anselin Local Moran's I statistic and Getis-Ord Gi* were performed to measure spatial autocorrelation and hotspots of PPRTIs at the geographical grid network and neighbourhood level. Furthermore, a spatial buffer analysis was used to classify the streets according to their PPRTI rate. RESULTS: A total of 7390 PPRTIs (2364 females and 4974 males) were noted during the study period. The children's mean age was 9.7 ± 5.1 years. Out of the total PPRTIs, 43% occurred on or at the sides of the streets, 25 of which labelled high-risk streets. A high-high cluster of PPRTI was discovered in the eastern part of the city, while there was a low-low such cluster in the West. Additionally, in the western part of the city, older children were more likely to become injured, while in the north-eastern and south-eastern parts, younger children were more often the victims. CONCLUSIONS: Spatial analysis of PPRTIs in an urban area was carried out at three different geographical scales: the grid network, the neighbourhood and the street level. The resulting documentation contributes reliable support for the implementation and prioritization of preventive strategies, such as improvement of the high-risk streets and neighbourhoods of the city that should lead to decreasing numbers of PPRTIs.

An age-integrated approach to improve measurement of potential spatial accessibility to emergency medical services for urban areas.

OBJECTIVE: This study aimed to develop an age-included approach to measure the potential accessibility to Emergency medical services (EMS) across urban and suburban areas of Mashhad city in Iran. METHODS: We used an improved version of two-step floating catchment area (2SFCA) and enhanced 2SFCA (E2SFCA) methods to measure the potential accessibility to EMS services with inclusion of age factor. This enabled us to better model accessibility of the older population to the EMS. We used 22 800 records of EMS enquiries from July to September 2018 to evaluate and assess the potential improvement in access to the EMS with incorporating age in the model. RESULTS: Suburb areas had less potential accessibility compared with central urban due to the high density of EMS stations in the city center areas. Our model showed slight improvement in potential accessibility measurement as a result of the proposed age-integrated method. CONCLUSION: An age-integrated index of accessibility method takes into account the age distribution of the population in service area is highly associated with actual measures of accessibility to EMS services. Identifying areas with poor access to EMS will help policymakers to design better policy planning to allocate resources and improve provision of EMS services.

Service availability and capacity in rural mental health in Australia: Analysing gaps using an Integrated Mental Health Atlas.

OBJECTIVE: Access to services and workforce shortages are major challenges in rural areas worldwide. In order to improve access to mental health care, it is imperative to understand what services are available, what their capacity is and where existing funds might be spent to increase availability and accessibility. The aim of this study is to investigate mental health service provision in a selection of rural and remote areas across Australia by analysing service availability, placement capacity and diversity. METHOD: This research studies the health regions of Western New South Wales and Country Western Australia and their nine health areas. Service provision was analysed using the DESDE-LTC system for long-term care service description and classification that allows international comparison. Rates per 100,000 inhabitants were calculated to compare the care availability and placement capacity for children and adolescents, adults and older adults. RESULTS: The lowest diversity was found in northern Western Australia. Overall, Western New South Wales had a higher availability of non-acute outpatient services for adults, but hardly any acute outpatient services. In Country Western Australia, substantially fewer non-acute outpatient services were found, while acute services were much more common. Acute inpatient care services were more common in Western New South Wales, while sub-acute inpatient services and non-acute day care services were only found in Western New South Wales. CONCLUSION: The number and span of services in the two regions showed discrepancies both within and between regions, raising issues on the equity of access to mental health care in Australia. The standard description of the local pattern of rural mental health care and its comparison across jurisdictions is critical for evidence-informed policy planning and resource allocation.

Development of the Australian neighborhood social fragmentation index and its association with spatial variation in depression across communities.

PURPOSE: We know little about how community structures influence the risk of common mental illnesses. This study presents a new way to establish links between depression and social fragmentation, thereby identifying pathways to better target mental health services and prevention programs to the right people in the right place. METHOD: A principal components analysis (PCA) was conducted to develop the proposed Australian neighborhood social fragmentation index (ANSFI). General practice clinical data were used to identify cases of diagnosed depression. The association between ANSFI and depression was explored using multilevel logistic regression. Spatial hot spots (clusters) of depression prevalence and social fragmentation at the statistical area level 1 (SA1) were examined. RESULTS: Two components of social fragmentation emerged, reflecting fragmentation related to family structure and mobility. Individuals treated for depression in primary care were more likely to live in neighborhoods with lower socioeconomic status and with higher social fragmentation related to family structure. A 1-SD increase in social fragmentation was associated with a 16% higher depression prevalence (95% CI 11%, 20%). However, the association attenuated with adjustment for neighborhood socio-economic status. Considerable spatial variation in social fragmentation and depression patterns across communities was observed. CONCLUSIONS: Developing a social fragmentation index for the first time in Australia at a small area level generates a new line of knowledge on the impact of community structures on health risks. Findings may extend our understanding of the mechanisms that drive geographical variation in the incidence of common mental disorders and mental health care.

Lapatinib plus capecitabine in patients with HER2-positive metastatic breast cancer: A systematic review
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OBJECTIVE: Human epidermal growth factor receptor 2 (HER2)-positive breast cancer, which accounts for 20 - 25% of cases of breast cancers, is highly aggressive. Due to cardiotoxicity and increasing resistance associated with trastuzumab, the first-line treatment, there is a need for effective second-line therapies in treating HER2-positive breast cancer. In this context, there has been increasing interest in the combination of lapatinib plus capecitabine. The aim of this systematic review was to assess the efficacy of lapatinib plus capecitabine for HER2-positive breast cancer after progression with trastuzumab therapy, in comparison with capecitabine monotherapy and other agents such as vinorelbine and trastuzumab emtansine. MATERIALS AND METHODS: We performed a keyword search in five electronic databases (OVID MEDLINE, the Cochrane Library, Web of Science, SCOPUS, and CINAHL; January 2010 to April 2017) for trials in patients with HER2-positive breast cancer that has progressed on trastuzumab. After screening, the relevant studies were assessed for their methodological quality (including selection bias, randomization, control for confounders, and blinding) by two reviewers independently. RESULTS AND DISCUSSION: A total of 50 studies were identified; only 6 of those met the inclusion criteria and were analyzed. Five received a weak rating on the quality assessment tool, and none could be considered as being of high scientific quality after taking the risk of bias and other confounding variables into account. The studies demonstrated that lapatinib plus capecitabine is effective in extending median overall (OS) and progression-free survival (PFS) outcomes, achieving OS of 37.6 - 108.7 weeks and PFS of 21.1 - 30 weeks across studies. However, median OS and PFS for trastuzumab emtansine therapy were found to be considerably better (133.9 weeks and 41.6 weeks, respectively) than for lapatinib plus capecitabine. CONCLUSION: The results suggest that the combination of lapatinib plus capecitabine can improve PFS and OS in patients with HER2-positive breast cancer that has progressed on trastuzumab. However, it appears that trastuzumab emtansine provides better treatment outcomes in this context.
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Developing a positive patient experience with nurses in general practice: An integrated model of patient satisfaction and enablement.

AIM: To develop a conceptual model that provides a comprehensive understanding of the structures and processes underpinning patient enablement and satisfaction in general practice nurse consultations. BACKGROUND: Current evidence regarding patient satisfaction and enablement arising from general practice nursing care is either quantitative or qualitative. To date, no studies have integrated the results of mixed methods research to provide a deeper understanding of processes that facilitate their achievement. DESIGN: A concurrent mixed methods study. METHODS: Our 2013-2014 concurrent mixed methods study comprised a quantitative study that analysed variables identified in interviews with general practice nurses, patients and practice managers with data from a cross-sectional survey of 678 patients receiving nursing care in 21 general practices; and a qualitative study that used a grounded theory approach to in-depth interviews with nurses and patients from these same practices. Using joint displays, we compared and integrated the results of the multilevel analyses and the grounded theory model derived from these studies. FINDINGS: We conceptualized a model-'developing a positive patient experience with nurses in general practice'-in which time, continuity of care, nursing scope of practice and autonomy, and patients' health conditions provide platforms for the processes of triggering healthcare partnerships and tailoring care in nurse consultations. CONCLUSION: This model builds on previous evidence describing processes and characteristics that optimize the quality of care in general practice nurse consultations. It provides a practical tool to inform education and training for general practice nurses and other clinicians.

Neighborhood walkability and hospital treatment costs: A first assessment.

Health system expenditure is a global concern, with hospital cost a major component. Built environment has been found to affect physical activity and health outcomes. The purpose of the study was a first assessment of the relationship between neighborhood walkability and hospital treatment costs. For 88 neighborhoods in the Australian Capital Territory (ACT), 2011-2013, a total of 30,690 public hospital admissions for the treatment of four diagnostic groups (cancers, endocrine, nutritional and metabolic diseases, circulatory diseases and respiratory diseases) were extracted from the ACT admitted patient care database and analyzed in relation to the Walk Score® index as a measure of walkability. Hospital cost was calculated according to the cost weight of the diagnosis related group assigned to each admission. Linear regressions were used to analyze the associations of walkability with hospital cost per person, admissions per person and cost per admission at the neighborhood level. An inverse association with neighborhood walkability was found for cost per person and admissions per person, but not cost per admission. After adjusting for age, sex and socioeconomic status, a 20-unit increase in walkability was associated with 12.1% (95% CI: 7.1-17.0%) lower cost and 12.5% (8.1-17.0%) fewer admissions. These associations did not vary by neighborhood socioeconomic status. This exploratory analysis suggests the potential for improved population health and reduced hospital cost with greater neighborhood walkability. Further research should replicate the analysis with data from other urban settings, and focus on the behavioral mechanisms underlying the inverse walkability-hospital cost association.

Using Geographical Convergence of Obesity, Cardiovascular Disease, and Type 2 Diabetes at the Neighborhood Level to Inform Policy and Practice.

INTRODUCTION: Chronic diseases are increasing across the world. Examination of local geographic variation in chronic disease patterns can enable policy makers to identify inequalities in health outcomes and tailor effective interventions to communities at higher risk. Our study aimed to determine the geographic variation of obesity, cardiovascular disease (CVD), and type 2 diabetes, using general practice clinical data. Further objectives included identifying regions of significantly high and low clusters of these conditions and assessing their association with sociodemographic characteristics. METHODS: A cross-sectional approach was used to determine the prevalence of obesity, CVD, and type 2 diabetes in western Adelaide, Australia. The Getis-Ord Gi* method was used to identify significant hot spots of the conditions. Additionally, we used the Pearson correlation test to determine the association between disease clusters and risk factors, including socioeconomic status (SES), smoking history, and alcohol consumption. RESULTS: The spatial distribution of obesity, CVD, and type 2 diabetes varied across communities. Hot spots of these conditions converged in 3 locations across western Adelaide. An inverse relationship was observed between area-level prevalence of CVD, obesity, and type 2 diabetes with SES. CONCLUSION: Identification of significant disease clusters can help policy makers to target prevention strategies at the right people, in the right location. The approach taken in our study can be applied to identify clusters of other chronic diseases across the world, wherever researchers have access to clinical data.