Healthcare Costs and Health Status: Insights from the SHARE Survey.

The substantial rise in hospital costs over recent years is associated with the rapid increase in the older age population. This study addresses an empirical gap in the literature concerning the determinants of high hospital costs in a group of older patients in Europe. The objective of the study is to examine the association of patient health status with in-hospital costs among older people across European countries. We used the data from the Survey of Health, Ageing and Retirement in Europe (SHARE) database. The analysis included 9671 patients from 18 European countries. We considered socio-demographic, lifestyle and clinical variables as possible factors influencing in-hospital costs. Univariate and multivariable logistic regression analyses were used to determine the determinants of in-hospital costs. To benchmark the hospital costs across European countries, we used the cost-outlier methodology. Rates of hospital cost outliers among older people varies from 5.80 to 12.65% across Europe. Factors associated with extremely high in-patient costs differ among European countries. In most countries, they include the length of stay in the hospital, comorbidities, functional mobility and physical activity. The treatment of older people reporting heart attack, diabetes, chronic lung disease and cancer are more often connected with cost outliers. The risk of being a cost outlier increased by 20% with each day spent in the hospital. We advocate that including patient characteristics in the reimbursement system could provide a relatively simple strategy for reducing hospitals' financial risk connected with exceptionally costly cases.

Supportive care needs and psychosocial outcomes of rural versus urban women with breast cancer.

OBJECTIVE: To identify whether supportive care needs vary according to remoteness and area-level socio-economic status and to identify the combinations of socio-demographic, area-level and health factors that are associated with poorer quality of life, psychological distress and severity of unmet supportive care needs. METHODS: Cross sectional data was collected from women with a breast cancer diagnosis (n = 2635) in Queensland, Australia, through a telephone survey including socio-demographic, health, psychosocial and supportive care needs measures. Hierarchical regression and cluster analyses were applied to assess the predictors of unmet need and psychosocial outcomes and to identify socio-demographic and health status profiles of women, comparing their level of unmet needs and psychosocial outcomes. RESULTS: Women living in outer regional areas reported the highest severity of unmet need in the patient care domain. Greater unmet need for health systems and information and patient care was also evident for those in moderately and most disadvantaged areas. Three clusters were identified reflecting (1) older women with poorer health and lower education (19%); (2) younger educated women with better health and private insurance (61%); and (3) physically active women with localised cancer who had completed treatment (20%). Poorer outcomes were evident in the first two of these clusters. CONCLUSIONS: This better understanding of the combinations of characteristics associated with poorer psychosocial outcomes and higher unmet need can be used to identify women with higher supportive care needs early and to target interventions.

Development of clinical value unit method for calculating patient costs.

The objective of the study was to develop the clinical value unit method of allocating indirect costs to patient costs using clinical factors. The method was tested to determine whether it is a more reliable alternative to using the length of stay and marginal mark-up allocation method. The method developed used data from a Polish specialist hospital. The study involved 4,026 patients grouped into nine diagnosis-related groups (DRG). The study methodology involved a three stage approach: (a) identification of correlates of patient costs, (b) a comparison of the costs calculated using the clinical value unit method with the alternative methods: length of stay and marginal mark-up methods, and (c) an estimation of the cost homogeneity of the DRGs. The study showed that length of stay cost allocation method may underestimate the proportion of indirect costs in patient costs for a short in-patient stay and overestimate the cost for the patients with a long stay. The total costs estimated using the marginal mark-up method were higher than those estimated with length of stay method. For most surgical procedures, the mean indirect costs are higher using clinical value unit method than when using length of stay or marginal mark-up method. In all medical procedure cases, the mean indirect costs calculated using the clinical value unit method are in the range between marginal mark-up and length of stay method. We also show that in all DRGs except one, that the coefficient of homogeneity for clinical value unit is higher than for length of stay or marginal mark-up method. We conclude that the clinical value unit method of cost allocation is a more precise and reliable alternative than the other methods.

Transverse relaxation-based assessment of mammographic density and breast tissue composition by single-sided portable NMR.

PURPOSE: Elevated mammographic density (MD) is an independent risk factor for breast cancer (BC) as well as a source of masking in X-ray mammography. High-frequency longitudinal monitoring of MD could also be beneficial in hormonal BC prevention, where early MD changes herald the treatment's success. We present a novel approach to quantification of MD in breast tissue using single-sided portable NMR. Its development was motivated by the low cost of portable-NMR instrumentation, the suitability for measurements in vivo, and the absence of ionizing radiation. METHODS: Five breast slices were obtained from three patients undergoing prophylactic mastectomy or breast reduction surgery. Carr-Purcell-Meiboom-Gill (CPMG) relaxation curves were measured from (1) regions of high and low MD (HMD and LMD, respectively) in the full breast slices; (2) the same regions excised from the full slices; and (3) excised samples after H2 O-D2 O replacement. T2 distributions were reconstructed from the CPMG decays using inverse Laplace transform. RESULTS: Two major peaks, identified as fat and water, were consistently observed in the T2 distributions of HMD regions. The LMD T2 distributions were dominated by the fat peak. The relative areas of the two peaks exhibited statistically significant (P < .005) differences between HMD and LMD regions, enabling their classification as HMD or LMD. The relative-area distributions exhibited no statistically significant differences between full slices and excised samples. CONCLUSION: T2 -based portable-NMR analysis is a novel approach to MD quantification. The ability to quantify tissue composition, combined with the low cost of instrumentation, make this approach promising for clinical applications.

Cost-effectiveness of a pragmatic exercise intervention for women with breast cancer: results from a randomized controlled trial.

OBJECTIVE: To report on the cost-effectiveness of the Exercise for Health trial, comparing an exercise intervention with usual care during and following treatment for women with breast cancer. METHODS: Women with breast cancer were randomized to an 8-month exercise intervention (involving regular contact with an exercise physiologist over the phone, n = 67, or home delivered face to face, n = 67) or usual care (n = 60) group and were assessed pre-intervention (5 weeks post-surgery), mid-intervention (6 months post-surgery), and 10 weeks post-intervention (12 months post-surgery). The benefit measures were "number of improvers" in quality of life (FACT-B+4) and quality-adjusted life years (QALYs). Data on provider, patient, and government costs were used to consider 2 cost scenarios: (1) a service provider model and (2) a private model. RESULTS: There were 69 improvers in the intervention group compared with 21 in the usual care group (odds ratio 2.09, 95% confidence interval 1.08, 4.01; P = .033). The incremental cost per improver was A$2282 to A$2644. Quality-adjusted life years gain for the intervention group versus the usual care group was 0.009, with incremental cost per QALY gain for models 1 and 2 being A$105 231 and A$90 842, respectively. However, sensitivity analyses indicate that incremental cost per QALY gained was volatile to EuroQol-5D-3L weights. CONCLUSIONS: Findings suggest that a pragmatic exercise intervention yields more women with markedly improved quality of life after breast cancer than usual care and may be cost-effective. The results are less certain in terms of incremental cost per quality-adjusted life years; however, this may be an inappropriate measure for reflecting exercise benefit for women with breast cancer.

Analysing risk factors for poorer breast cancer outcomes in residents of lower socioeconomic areas of Australia.

OBJECTIVE: To investigate patient, cancer and treatment factors associated with the residence of female breast cancer patients in lower socioeconomic areas of Australia to better understand factors that may contribute to their poorer cancer outcomes. METHODS: Bivariable and multivariable analyses were performed using the Breast Quality Audit database of Breast Surgeons of Australia and New Zealand. RESULTS Multivariable regression indicated that patients from lower socioeconomic areas are more likely to live in more remote areas and to be treated at regional than major city centres. Although they appeared equally likely to be referred to surgeons from BreastScreen services as patients from higher socioeconomic areas, they were less likely to be referred as asymptomatic cases from other sources. In general, their cancer and treatment characteristics did not differ from those of women from higher socioeconomic areas, but ovarian ablation therapy was less common for these patients and bilateral synchronous lesions tended to be less frequent than for women from higher socioeconomic areas. CONCLUSIONS: The results indicate that patients from lower socioeconomic areas are more likely to live in more remote districts and have their treatment in regional rather than major treatment centres. Their cancer and treatment characteristics appear to be similar to those of women from higher socioeconomic areas, although they are less likely to have ovarian ablation or to be referred as asymptomatic patients from sources other than BreastScreen. What is known about this topic? It is already known from Australian data that breast cancer outcomes are not as favourable for women from areas of socioeconomic disadvantage. The reasons for the poorer outcomes have not been understood. Studies in other countries have also found poorer outcomes in women from lower socioeconomic areas, and in some instances, have attributed this finding to more advanced stages of cancers at diagnosis and more limited treatment. The reasons are likely to vary with the country and health system characteristics. What does this paper add? The present study found that in Australia, women from lower socioeconomic areas do not have more advanced cancers at diagnosis, nor, in general, other cancer features that would predispose them to poorer outcomes. The standout differences were that they tended more to live in areas that were more remote from specialist metropolitan centres and were more likely to be treated in regional settings where prior research has indicated poorer outcomes. The reasons for these poorer outcomes are not known but may include lower levels of surgical specialisation, less access to specialised adjunctive services, and less involvement with multidisciplinary teams. Women from lower socioeconomic areas also appeared more likely to attend lower case load surgeons. Little difference was evident in the type of clinical care received, although women from lower socioeconomic areas were less likely to be asymptomatic referrals from other clinical settings (excluding BreastScreen). What are the implications for practitioners? Results suggest that poorer outcomes in women from lower socioeconomic areas in Australia may have less to do with the characteristics of their breast cancers or treatment modalities and more to do with health system features, such as access to specialist centres. This study highlights the importance of demographic and health system features as potentially key factors in service outcomes. Health system research should be strengthened in Australia to augment biomedical and clinical research, with a view to best meeting service needs of all sectors of the population.

Risk factors for poorer breast cancer outcomes in residents of remote areas of Australia.

To investigate patient, cancer and treatment characteristics in females with breast cancer from more remote areas of Australia, to better understand reasons for their poorer outcomes, bi-variable and multivariable analyses were undertaken using the National Breast Cancer Audit database of the Society of Breast Surgeons of Australia and New Zealand. Results indicated that patients from more remote areas were more likely to be of lower socio- economic status and be treated in earlier diagnostic epochs and at inner regional and remote rather than major city centres. They were also more likely to be treated by low case load surgeons, although this finding was only of marginal statistical significance in multivariable analysis (p=0.074). Patients from more remote areas were less likely than those from major cities to be treated by breast conserving surgery, as opposed to mastectomy, and less likely to have adjuvant radiotherapy when having breast conserving surgery. They had a higher rate of adjuvant chemotherapy. Further monitoring will be important to determine whether breast conserving surgery and adjuvant radiotherapy utilization increase in rural patients following the introduction of regional cancer centres recently funded to improve service access in these areas.

Survival from breast cancer: an analysis of Australian data by surgeon case load, treatment centre location, and health insurance status.

OBJECTIVE: Early invasive breast cancer data from the Australian National Breast Cancer Audit were used to compare case fatality by surgeon case load, treatment centre location and health insurance status. METHOD: Deaths were traced to 31 December 2007, for cancers diagnosed in 1998-2005. Risk of breast cancer death was compared using Cox proportional hazards regression. RESULTS: When adjustment was made for age and clinical risk factors: (i) the relative risk of breast cancer death (95% confidence limit) was lower when surgeons' annual case loads exceeded 20 cases, at 0.87 (0.76, 0.995) for 21-100 cases and 0.83 (0.72, 0.97) for higher case loads. These relative risks were not statistically significant when also adjusting for treatment centre location (P ≥ 0.15); and (ii) compared with major city centres, inner regional centres had a relative risk of 1.32 (1.18, 1.48), but the risk was not elevated for more remote sites at 0.95 (0.74, 1.22). Risk of death was not related to private insurance status. CONCLUSION: Higher breast cancer mortality in patients treated in inner regional than major city centres and in those treated by surgeons with lower case loads requires further study.