Cross cultural validation of the preventive health model for colorectal cancer screening : an Australian study

We investigated whether the five-factor structure of the Preventive Health Model for colorectal cancer screening, developed in the United States, has validity in Australia. We also tested extending the model with the addition of the factor Self-Efficacy to Screen using Fecal Occult Blood Test (SESFOBT). Randomly selected men and women aged between 50 and 76 years (n = 414) responded to a survey. Confirmatory factor analyses indicated that the U.S. model provided adequate fit for the group as a whole and for men and women separately, thereby demonstrating cross-cultural validity for measuring factors influencing the decision to screen. The inclusion of SESFOBT in the model resulted in a comparable, but less parsimonious, fit. However, self-efficacy is a demonstrated mediator of intention and action, and it is argued that the addition of SESFOBT as a sixth factor may have utility for the design of strategies to increase actual uptake of FOBT.

A preliminary analysis of the cost-effectiveness of the National Bowel Cancer Screening Program – demonstrating the potential value of comprehensive real world data

Background The complexity and cost of treating cancer patients is escalating rapidly and increasingly difficult decisions are being made regarding which interventions provide value for money. BioGrid Australia supports collection and analysis of comprehensive treatment and outcome data across multiple sites. Here we use preliminary data regarding the National Bowel Cancer Screening Program (NBCSP) and stage-specific treatment costs for colorectal cancer (CRC) to demonstrate the potential value of real world data for cost-effectiveness analyses (CEA).

Methods Data regarding the impact of NBCSP on stage at diagnosis was combined with stage-specific CRC treatment costs and existing literature. An incremental CEA was undertaken from a government healthcare perspective, comparing NBCSP to no-screening. The 2008 invited population (n=681,915) was modelled in both scenarios. Effectiveness was expressed as CRC-related life years saved (LYS). Costs and benefits were discounted at 3% per annum.

Results Over the lifetime and relative to no-screening, NBCSP was predicted to save 1,265 life-years, prevent 225 CRC cases and cost an additional $48.3 million, equivalent to a cost-effectiveness ratio of $38,217 per LYS. A scenario analysis assuming full participation improved this to $23,395.

Conclusions This preliminary CEA based largely on contemporary real world data suggests population-based FOBT screening for CRC is attractive. Planned ongoing data collection will enable repeated analyses over time, using the same methodology in the same patient populations, permitting an accurate analysis of the impact of new therapies and changing practice. Similar CEA using real world data related to other disease types and interventions appears desirable.

Avoiding piecemeal research on participation in cervical cancer screening : the advantages of a social identity framework

Background  Cervical cancer screening research has predominantly focused on one type of participation, namely compliance with medical recommendations, and has largely ignored other types of participation. While there is some research that has taken a different approach, findings in this research area are not well integrated under a theoretical framework.

Objective  The aim of this study is to show how consideration of a broader definition of participation and better integration of the theoretical conceptualization of participation in cervical cancer screening are both possible and desirable to enable a better understanding of women’s experiences of cervical cancer screening specifically and to improve women’s health generally.

Main Conclusion  It is suggested that alternative types of participation in cervical cancer screening warrant further investigation and that a social identity theoretical approach offers one way of integrating such conceptualizations of participation. The paper also argues for more explicit consideration of the role of social processes and of the variables, such as power, social identity and relational justice, which are involved in participation in cervical cancer screening.

The need to examine metastatic tissue at the time of progression of breast cancer : is re-biopsy a necessity or a luxury?

Knowledge of estrogen receptor (ER), progesterone receptor (PgR) and human epidermal growth factor receptor-2 (HER2) status is necessary for determining the optimal treatment of breast cancer patients. At the same time, the discordance between marker profiles (ER/PR and HER2) of primary and metastatic breast cancer is well documented. Whether discordant cases are secondary to “clonal selection” in the face of targeted anti-estrogen or anti-HER2 therapy or whether they are a laboratory artifact is still debated; both scenarios are likely. This article outlines current modalities for ER, PR, and HER2 testing in primary breast carcinoma and its metastases and reviews prospective and retrospective studies that have addressed these issues, as well as recent advances in the field.

Immune thrombocytopenic purpura (ITP) and breast cancer. Does adjuvant therapy for breast cancer improve platelet counts in ITP?

Although both breast cancer and immune thrombocytopenic purpura (ITP) are common conditions, the simultaneous coexistence of these two diseases is rare. ITP is an autoimmune disease in which the presence of autoantibodies against platelets results in splenic sequestration and thrombocytopenia that may be associated with lymphoid neoplasms [1]. Except for an observational case series of 10 patients [2], only a few individual case reports of ITP coinciding with breast cancer have been reported [3–8]. We are reporting two cases with simultaneous confirmed ITP and breast cancer. The platelet counts in both women have improved during adjuvant breast cancer chemotherapy.

The national bowel cancer screening program

The Australian Bowel Cancer Screening Pilot Program was conducted in Mackay, Melbourne and Adelaide during 2003 and 2004. The primary aim was to provide information about the feasibility, acceptability and cost effectiveness of bowel cancer screening amongst the Australian population in both rural and urban areas. This presentation will present key results from the analysis of the pilot monitoring data and describe some implications of these results for the National Bowel Screening Program’s design.

Bowel cancer screening : how do we measure success?

A key part of monitoring and evaluating any health intervention is to define what constitutes success for that intervention and how we would measure whether or not the intervention has achieved this success. This presentation will present an overview of the objectives of the National Bowel Screening Program and what data are needed to monitor the program’s success in meeting these objectives.

The Australian bowel cancer screening pilot program : analysis of routinely collected screening data

This report presents analyses of monitoring data from the Australian Bowel Cancer Screening Pilot Program. The purpose of the analyses is to support the overall evaluation of the Pilot and to inform the planning of the proposed national bowel cancer screening program.

Statistical models for cancer screening

This paper reviews the application of statistical models to planning and evaluating cancer screening programmes. Models used to analyse screening strategies can be classified as either surface models, which consider only those events which can be directly observed such as disease incidence, prevalence or mortality, or deep models, which incorporate hypotheses about the disease process that generates the observed events. This paper focuses on the latter type. These can be further classified as analytic models, which use a model of the disease to derive direct estimates of characteristics of the screening procedure and its consequent benefits, and simulation models, which use the disease model to simulate the course of the disease in a hypothetical population with and without screening and derive measures of the benefit of screening from the simulation outcomes. The main approaches to each type of model are described and an overview given of their historical development and strengths and weaknesses. A brief review of fitting and validating such models is given and finally a discussion of the current state of, and likely future trends in, cancer screening models is presented.