Ghaneie M, Rezaie A, Ghorbani N R, Heidari Rn, Arjomandi M, Zare M
Deputy of Research & Technology, Ministry of Health, Treatment and Medical Education, Tehran, Iran.
Iran J Public Health. 2013 Jan 1;42(Supple1):66-73. Print 2013.
Due to the high incidence of deaths from breast cancer, high cost of treatment and limited resources, the need to formulate and implement effective programs in reducing the burden of disease is obvious. Care, control and creation of cancer information system having an infrastructure from collection of minimum data sets (MDS) are the top priorities of research in Iran's Ministry of Health.
This is an applied descriptive research with comparative approach implemented in 2010. MDS for breast cancer on selected countries were searched and reviewed and proposed model based on the country's need was designed. Research data were implemented in 2 stages; assessment of MDS on selected countries and the validation of the proposed model through several meetings that has been carried out by the Undersecretary for Research and Technology and several oncologists and pathologists.
The MDS is composed of 11 parameters in the form of fields in closed structured arrangements with consideration to coding responses. These parameters include: hospital data, demography, referral, physical examination and investigation, diagnostic information, pathology, treatment, palliative care, completion of primary treatment, clinical trials and follow-up. This form is available for use in the cancer registry database.
MDS provides an opportunity to strengthen communication between performed researches and research results for the improvement of programs, policies and strategies and provides positive effect on equality in the health system. Although the stages of creating the MDS for breast cancer has been successful, but many challenges has been met until its completion.
由于乳腺癌导致的高死亡率、高昂的治疗费用以及资源有限，制定和实施有效方案以减轻疾病负担的需求显而易见。建立具备从收集最小数据集（MDS）的基础设施的癌症信息系统，进行护理、管控，是伊朗卫生部研究的首要任务。
这是一项于2010年实施的采用比较方法的应用描述性研究。对选定国家的乳腺癌最小数据集进行搜索和审查，并根据该国需求设计了提议模型。研究数据分两个阶段实施；对选定国家的最小数据集进行评估，并通过研究与技术副部长以及几位肿瘤学家和病理学家召开的几次会议对提议模型进行验证。
最小数据集由11个参数组成，这些参数以封闭结构排列的字段形式呈现，并考虑了编码回复。这些参数包括：医院数据、人口统计学、转诊、体格检查与调查、诊断信息、病理学、治疗、姑息治疗、初始治疗完成情况、临床试验和随访。此表格可用于癌症登记数据库。
最小数据集为加强已开展研究与研究结果之间的沟通提供了机会，以改进方案、政策和策略，并对卫生系统的公平性产生积极影响。尽管创建乳腺癌最小数据集的各个阶段已取得成功，但在完成之前仍遇到了许多挑战。
