Does illness perception explain quality of life of patients with prostate cancer?

BACKGROUND: It is licely that illness perceptions can explain variations in quality of life of patients with prostate cancer across different treatment methods and stages. Therefore, the aim of this study was to determine if illness perception can explain variations in quality of life of patients with prostate cancer. MATERIAL AND METHODS: The cross-sectional national-level study was carried out. Quality of life was evaluated with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 and the Visual Analogue Scale. Illness perceptions were measured by the revised Illness Perception Questionnaire. RESULTS: The response rate was 77.1% (N=501). The variation in global quality of life was explained (32.0%) by levels of emotional representation (ß=-0.126; P=0.023) and consequences (ß=-0.209; P<0.01); physical functioning (27.0%), by consequences (ß=-0.203; P<0.01) and chemotherapy (ß=-2.911; P=0.007); role functioning (37.0%), by emotional representations (ß=-0.198; P<0.01), timeline cyclical (ß=-0.209; P=0.014), and stage of the disease (ß=-0.779; P=0.007); emotional functioning (43.0%), by emotional representations (ß=-0.361; P<0.01) and education level (ß=-0.566; P=0.025); cognitive functioning (34.0%), by educational level (ß=0.714; P=0.005), emotional representations (ß=-0.118; P=0.019), illness coherence (ß=-0.167; P=0.030), consequences (ß=-0.187; P=0.001), and hormonal therapy (ß=-0.778; P=0.049); and social functioning (39.0%), by consequences (ß=-0.320; P<0.01) and combined treatment (ß=-1.492; P=0.016). CONCLUSIONS: Illness perceptions may be important while investigating quality of life in patients with prostate cancer. It may underlie quality-of-life differences in this group of patients and could inform decision makers about the importance of the provision of psychosocial services to patients with prostate cancer.

Does quality of life of prostate cancer patients differ by stage and treatment?

BACKGROUND: The lack of consensus amongst experts delineate how important it is for patients diagnosed with prostate cancer (PCa) to make an informed decision on available treatment options through an objective discussion of the risks and benefits. One of important benefits could be seen as patient's quality of life (QoL) after treatment. We aimed to assess QoL differences in prostate cancer patients by stage and treatment for a population-based sample. METHODS: The cross-sectional PCa patient population-based national level study for a prostate cancer patient population was performed. QoL was investigated with EORTC QLQ-C30. The analysis includes descriptive statistics and evaluation of differences in functional and symptom scales by stage and treatment group by predictors in the model. RESULTS: Response rate was 79.1% (N=514). The highest QoL scores were observed in localised PCa, active surveillance treatment group. The lowest scores were observed in advanced stages, chemotherapy treatment group. Between cancer stages, statistically significant differences were observed only in scales of emotional functioning (p<0.001) and social functioning (p<0.001). Between treatment groups, statistically significant differences were observed in scales of physical functioning (p<0.001), role functioning (p<0.001), emotional functioning (p<0.001), and social functioning (p<0.001). CONCLUSIONS: Our study highlighted statistically significant differences in QoL between cancer stages and treatment. Understanding how the QoL changes in relation with the selected treatment option can be important to the urologist and individual patient to have realistic expectations as well as to optimise treatment decisions for the prostate cancer patient when exist several alternatives.

Effectiveness of telemedicine and distance learning applications for patients with chronic heart failure. A protocol for prospective parallel group non-randomised open label study.

INTRODUCTION: Chronic heart failure in Baltic Sea Region is responsible for more hospitalisations than all forms of cancer combined and is one of the leading causes of hospitalisations in elderly patients. Frequent hospitalisations, along with other direct and indirect costs, place financial burden on healthcare systems. We aim to test the hypothesis that telemedicine and distance learning applications is superior to the current standard of home care. METHODS AND ANALYSIS: Prospective parallel group non-randomised open label study in patients with New York Heart Association (NYHA) II-III chronic heart failure will be carried out in six Baltic Sea Region countries. The study is organised into two 6-month follow-up periods. The first 6-month period is based on active implementation of tele-education and/or telemedicine for patients in two groups (active run period) and one standard care group (passive run period). The second 6-month period of observation will be based on standard care model (passive run period) to all three groups. Our proposed practice change is based on translational research with empirically supported interventions brought to practice and aims to find the home care model that is most effective to patient needs. ETHICS AND DISSEMINATION: This study has been approved by National Bioethics Committee (2011-03-07; Registration No: BE-2-11). TRIAL REGISTRATION: This study has been registered in Australian New Zealand Clinical Trials Registry (ANZCTR) with registration number ACTRN12611000834954.

Survival of women with breast cancer in Kaunas Region, Lithuania.

OBJECTIVE. The assessment of breast cancer survival rates and comparison with those of other countries may help to deepen knowledge among decision makers in the health care system and to improve the inequalities in accessibility to early detection and effective treatment. The aim of this study was to evaluate breast cancer survival rates in Kaunas region, Lithuania, and to compare them with those in the selected European countries. MATERIAL AND METHODS. A retrospective study was carried out using medical records and data gathered from the Lithuanian Cancer Registry. A group of 240 patients with primary breast cancer diagnosed in 2008 in Kaunas region was analyzed. All causes of death were included in the analysis. The closing date of follow-up was September 30, 2010. Survival was determined using the life-table method and the Kaplan-Meier method. Cox proportional hazard models were used to estimate the effects of prognostic risk factors on survival. RESULTS. The median age of the patients was 63 years (range, 28-95). The 1-year and 2-year cumulative survival for breast cancer patients in Kaunas region, Lithuania, was 94.2% and 90.1%, respectively. As expected, the survival of patients with diagnosed advanced disease (stage III and IV) was significantly worse than that of patients with stage I (P<0.001) and II (P=0.003) disease. The screening group (aged 50-69 years) showed better survival in comparison with the group older than 69 years. Age, T4 tumor, and distant metastasis were the prognostic factors significantly associated with an increased relative mortality risk of breast cancer. CONCLUSIONS. Compared to the European survival rates, the 1-year and 2-year survival of patients with breast cancer in Lithuania was found to be similar to most European countries.

Healthcare spending in the case of a HPV16/18 population-wide vaccination programme.

BACKGROUND: The policy of population-wide human papillomavirus (HPV) vaccination has been debated as the introduction of such a programme in a low-resource country faces the risk of insufficient cost-effectiveness. OBJECTIVES: To assess the potential healthcare spending changes after the introduction of a HPV16/18 population-wide vaccination programme in Lithuania. STUDY DESIGN: For a cost-effectiveness analysis, we used mathematical simulation and epidemiological data modelling based on a Lithuanian female population. We performed comparative analysis of an annual 12-year-old girls population-wide vaccination programme combined with cervical cancer screening programme compared to the screening programme strategy only. RESULTS: HPV vaccination would gain an average of 35.6 life years per death avoided or up to 284.8 thousand life years would be gained over 90 years in total. The programme costs would be 2932.58 EUR per life year gained. All costs associated with the introduction of the vaccination programme could be recovered in 48 years. The HPV vaccination programme in Lithuania has the potential to generate up to 40.07 million EUR of economic returns annually compared with the current practice of the cervical screening alone. CONCLUSIONS: In Lithuania the HPV16/18 vaccination programme would be economically effective only in the long term. The investment costs of HPV16/18 vaccination have the potential to be recovered.

Factors affecting health-related quality of life in prostate cancer patients.

OBJECTIVE: Prostate cancer is the most common cancer among men in Lithuania. Quality of life (QoL) assessment plays a key role in the evaluation and treatment of cancer patients. The aim of this study was to evaluate factors affecting the QoL of patients with prostate cancer in Lithuania. MATERIAL AND METHODS: A cross-sectional national-level study was performed. QoL was investigated with the EORTC QLQ-C30 questionnaire. Statistical analysis included descriptive statistics, interrelationship analysis between characteristics and multivariate logistic regression to estimate predictors and odds ratios (ORs) for each of the independent variables in the model. RESULTS: The response rate was 74.8% (N = 486). One-quarter of respondents with prostate cancer indicated high QoL scores. Higher QoL scores were given for prostate cancer patients with lower education level [OR = 3.092, 95% confidence interval (CI) 1.007-9.491, p = 0.049], having lower monthly expenses for treatment (OR = 3.653, CI 1.318-10.128, p = 0.013), disease stage II (by patient conveyance) (OR = 10.053, CI 1.015-99.534, p = 0.048), disease stage I (by medical record) (OR = 2.19E + 08, CI 218514200.17-218514200.17, p < 0.001) and in those with undisclosed disease stage (OR = 9.220, CI 1.251-67.965, p = 0.029). CONCLUSIONS: Significant predictors for higher QoL scores were education level, own monthly expenses for treatment and disease stage. Patients with undisclosed disease stage more often had higher QoL scores.

Cost-effectiveness of 12- and 15-year-old girls' human papillomavirus 16/18 population-based vaccination programmes in Lithuania.

BACKGROUND: There is a large difference in the prevalence of cervical cancer between European countries. Between European Union countries, cervical cancer is the most prevalent in Lithuania. Currently we have available vaccines for different types of human papillomavirus virus (HPV), but we lack evidence on how the vaccination would be cost-effective in low-resource Eastern European countries like Lithuania. OBJECTIVES: To create a simulation model for the Lithuanian population; to estimate epidemiological benefits and cost-effectiveness for a HPV16/18 vaccination programme in Lithuania. STUDY DESIGN: For the cost-effectiveness analysis, we used Lithuanian population mathematical simulation and epidemiological data modelling. We performed comparative analysis of annual vaccination programmes of 12-year-old or 15-year-old girls at different vaccine penetration levels. POPULATION: Lithuanian female population at all age groups. RESULTS: A vaccination programme in Lithuania would gain an average of 35.6 life years per death avoided. Vaccinated girls would experience up to 76.9% overall reduction in incidence of cervical cancers, 80.8% reduction in morbidity and 77.9% reduction in mortality over their lifetime. Cost per life year gained with different vaccine penetration levels would range from 2167.41 Euros to 2999.74 Euros. CONCLUSIONS: HPV vaccination in Lithuania would have a very positive impact on the epidemiological situation and it would be cost-effective at all ranges of vaccine penetration. Vaccination in Lithuania in the long term potentially could be more cost-effective due to avoiding early disease onset and lower accumulation of period costs.

Implementation of international transtelephonic ECG platform for patients with ischemic heart disease.

Ischemic heart disease in European countries over decades causes up to 55% of all cases of sudden death and also has a high rate of mortality, morbidity, and hospital admission. Patients with such chronic diseases also require intensive home care facilities from community nurses. The aim was to establish international multilingual platform for transtelephonic ECG system as an alternative solution for home care and assess its performance. METHODS. During this pilot study, the international toll-free line between Lithuania and Germany was established, and practical applicability of the tele-ECG device was tested. Transtelephonic ECG system was implemented between Telemedicine Center in Bad Segeberg (Bad Segeberg Clinic, Germany), the Call Center in Kaunas at the Hospital of Kaunas University of Medicine, and a patient residence. RESULTS. Over a 6-month follow-up period, 34 patients were recruited. Following the ECG transmission, 86 teleconsultations were done. During the study, a total of 329 ECGs were sent by the patients; out of them, 14 ECGs were with clinical changes. Technical problems due to insufficient patient training, telecommunication systems, acoustic data transmission, and device itself were reported. Up to 23% of ECGs sent by patients were unreadable and not applicable for further clinical analysis. CONCLUSIONS. Our study showed the potential of telemedicine facilities to overcome the problems of access that makes the technique so potentially useful, but for telemonitoring application at patient homes in a wider population, it needs to be improved in terms of technical performance, transmission and analysis automatization.

Assessment of validity for EuroSCORE risk stratification system.

UNLABELLED: Prognostic scoring helps doctors, patients and their families to weigh the risks and benefits of medical care and clarifies their expectations. OBJECTIVE: We aimed to analyze the risk stratification performance of the EuroSCORE system because of its common use in Lithuania. DESIGN: EuroSCORE performance is assessed in terms of sensitivity, specificity, accuracy and area under the receiver operating characteristic (ROC) curve (AUC). Logistic regression is carried out for modeling categorical data and odds ratio calculations of being a non-survivor case for each EuroSCORE risk group. RESULTS: The study was completed on 1002 patients. Mean score for EuroSCORE was 4.77 +/- 2.8; ROC curve of 0.71; accuracy was 65.5%; 65.4% sensitivity and 67.2% specificity. CONCLUSIONS: EuroSCORE created a moderately predictive area under the ROC curve for our patient population. Probability of non-survival by logistic regression model for each EuroSCORE risk group is statistically significantly higher compared to the lower risk group. Predictions available from prognostic scoring systems could be useful in decision making when there is uncertainty in whether to carry out surgery or not.

Assessing the validity of cardiac surgery risk stratification systems for CABG patients in a single center.

BACKGROUND: Most cardiac surgery risk stratification systems were primarily designed using patient-related factors to predict mortality and postoperative morbidity. Relative mortality rates are higher at cardiac surgery centers which perform surgery on elderly patients. Our aim was to assess the validity of risk stratification systems for our regional population. MATERIAL/METHODS: The study involved 1021 patients. Risk stratification was carried out using the EuroSCORE, Ontario, and QMMI scoring systems. Analysis comparing the scoring systems included sensitivity, specificity, predictive values, and receiver operating characteristics (ROC) curves. Accuracy was assessed using the systems' ability to avoid Type I and Type II errors. RESULTS: Sensitivity and specificity of the QMMI scoring system were 33.3% and 97.2%, of EuroSCORE 20.7% and 96.7%, and of Ontario 21.1% and 94.4%, respectively. The best positive predictive value was for QMMI and EuroSCORE with 75% versus Ontario's 50%. The highest negative predictive value was QMMI's 85.4% versus Ontario's 78.9% and EuroSCORE's 72.0%. The best accuracy showed QMMI scoring with 84.5% versus Ontario's 78.9% and EuroSCORE's 72.2%. CONCLUSIONS: All the investigated risk stratification systems were moderately predictive. The QMMI score showed the best predictive characteristics (sensitivity, specificity, and accuracy) for our patient population. The QMMI system had high specificity and accuracy. The EuroSCORE system showed mortality overprediction for our population, associated with high false negative test results and low accuracy. The Ontario risk stratification system often commits Type II errors, associated with a high rate of false positive test results and low accuracy.

[Risk factors affecting hospital resource use in cardiac surgery]. / Kardiochirurginiu operaciju sanaudas didinantys veiksniai.

UNLABELLED: Demographic changes in the society, favorable changes in disease patterns within population cause higher morbidity and higher mortality from cardiovascular diseases and increase need for hospital resource use. It is very important to identify the risk factors, which are responsible for higher health care costs. The objective of this article is to identify risk factors, which are responsible for higher hospital resource use. METHODS: Search in web and meta analysis of the electronic-medical articles within journals under review were performed. RESULTS: The main risk factors for higher hospital resource utilization were identified: longer length of stay in the hospital, type of operation, postoperative mortality, postoperative complications and age. CONCLUSIONS: The main factors affecting higher hospital resource utilization are following: longer duration of stay in the hospital, advanced type of operation, postoperative mortality, postoperative complications and advanced age. Hospital resource utilization depends on patient anamnesis and quality of care in institution.

Receiver operating characteristic curves and comparison of cardiac surgery risk stratification systems.

We use past experiences every day when we choose one therapy over another; we frequently base our decisions on the relative probability that a particular treatment will be successful in an individual patient. Preoperative risk score systems are an essential tool for risk assessment in cardiac surgery. If we use just any risk stratification we will make diagnostic errors. During the last decade the examination of the performance of cardiac surgery risk stratification systems became very popular. There are a lot of studies, which show that risk stratification systems have high predictive value but they overpredict mortality rates for sample population. When reading these articles it is unclear what influences the mortality overprediction? We review main principles of receiver operating characteristic curve use for risk stratification systems' performance assessment and describe basic statistical explanations regarding errors in mortality prediction.

Comparison of various score systems for risk stratification in heart surgery.

UNLABELLED: Its is important to predict patients having the highest risk of surgery. Risk stratification systems need to be tested in different surgical populations and whether they are or not appropriate to our population remains unknown. OBJECTIVE: To test various risk stratification systems for our region population having cardiac surgery in our institution during 2002. MATERIALS AND METHODS: Between January 1, 2002 and November 1, 2002, all adult patients undergoing heart surgery with cardiopulmonary bypass in our institution were included in the study and scored using the EuroSCORE, Parsonnet, Ontario, and QMMI. Study was completed by 444 patients. We analyzed score systems predicting characteristics by assessing receiver operating characteristics (ROC). RESULTS: Observed mortality was 25 (5.63%). Mean score for alive and dead patients for EuroSCORE was -7.8+/-3.1 and 10.8+/-3.2, p<0.005; Parsonnet - 14.2+/-11 and 32.5+/-13.8, p<0.0005; Ontario - 3.6+/-2.7 and 6.4+/-3.5, p<0.005; QMMI score - 10.4+/-6.9 and 20.3+/-8.7, p<0.0001. ROC curve analysis for mortality showed best predicting characteristics for the Parsonnet and QMMI, best accuracy for QMMI score - 84.4 %. CONCLUSIONS: Most (71.2%) of our investigated patients having heart surgery are at high-risk group for death. All investigated score systems have significance in mortality prediction. Among the investigated score systems, the QMMI score and Ontario score systems yielded the highest predictive value in our patient population. Highest accuracy of prediction patient population showed QMMI score. Our study highlighted over prediction of mortality for Parsonnet score and EuroSCORE systems for our population.