Policymakers require estimates of the future number of cancer patients in order to allocate finite resources to cancer prevention, treatment and palliative care. We examine recent cancer incidence trends in Iran and present predicted incidence rates and new cases for the entire country for the year 2025. We developed a method for approximating population‐based incidence from the pathology‐based data series available nationally for the years 2008 to 2013, and augmented this with data from the Iranian National Population‐based Cancer Registry (INPCR) for the years 2014 to 2016. We fitted time‐linear age‐period models to the recent incidence trends to quantify the future cancer incidence burden to the year 2025, delineating the contribution of changes due to risk and those due to demographic change. The number of new cancer cases is predicted to increase in Iran from 112 000 recorded cases in 2016 to an estimated 160 000 in 2025, a 42.6% increase, of which 13.9% and 28.7% were attributed to changes in risk and population structure, respectively. In terms of specific cancers, the greatest increases in cases are predicted for thyroid (113.8%), prostate (66.7%), female breast (63.0%) and colorectal cancer (54.1%). Breast, colorectal and stomach cancers were the most common cancers in Iran in 2016 and are predicted to remain the leading cancers nationally in 2025. The increasing trends in incidence of most common cancers in Iran reinforce the need for the tailored design and implementation of effective national cancer control programs across the country.
Background: Different studies have shown that health level, performance statutes and quality of life in chronic patients are less than the expected level especially in patients with diabetes. Objectives: The aim of this study was to investigate the effects of a self-care program with a multimedia software support on quality of life in patients with diabetes type II. Patients and Methods: This study was a randomized controlled clinical trial in which 60 patients who had been referred to the diabetes clinic of Arak city were randomly divided to experimental (n = 30) and control (n = 30) groups. Diabetes Quality of Life Brief Clinical Inventory was used for determining the quality of life. Data were collected before and two months after the intervention for both groups. An educational program with equal content was conducted for both the experimental group (self-care program with multimedia software support in two sessions) and control group (lecture and presentation with PowerPoint in one session). Data analysis was made by the SPSS 16 software. Results: There were no significant differences between the two groups in mean scores of quality of life before the intervention (P = 0.97) while after the intervention, the difference between the two groups was significant (P = 0.029). Applying the self-care program with software support improved quality of life of the experimental group after the intervention (P < 0.0001) while there was no significant difference in mean score of quality of life in the control group after eight weeks (P = 0.051). Conclusions: According to the results of this study, the examined method is a simple, cheap, effective and attractive intervention program for patients with diabetes.
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