Introduction
Data are the fundamental aspect of the day to day management of the public sector’s service delivery. To the health sector, however, the datasets have more pronounced roles than ever imagined; this is because it is from the analysis of such data that the practitioners can understand the effectiveness of their services and even the trends in the sector. Other than the government institutions, there exist non-governmental bodies have invested their resources in collecting and documenting data of various issues and trends in the health sector. The Center for Disease Control and Prevention (CDC) has been at the forefront in documenting data of great relevance to the policymakers, patients and the stakeholders in the health sector.
| Cancer Type |
Age-adjusted Rate (95% CI) |
|
|---|---|---|
| Female Breast | 123.9 (123.4-124.4) | |
| Prostate | 95.5 (95.1-96.0) | |
| Lung and Bronchus | 58.3 (58.0-58.5) | |
| Colon and Rectum | 38.4 (38.2-38.6) | |
| Corpus and Uterus, NOS | 26.5 (26.2-26.7) | |
| Melanomas of the Skin | 21.4 (21.3-21.6) | |
| Urinary Bladder | 19.8 (19.7-20.0) | |
| Non-Hodgkin Lymphoma | 18.5 (18.4-18.7) | |
| Kidney and Renal Pelvis | 16.2 (16.1-16.4) | |
| Thyroid | 14.5 (14.3-14.6) |
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A dataset of the Top 10 Cancers by Rates of New Cancer Cases United States, 2014, Rate per 100,000 people. Data courtesy of (nccd.cdc.gov/)
Importance of the data
Cancer is one of the dangerous non-communicable diseases whose epidemiology has stunted many experts in the field, the fact that it attacks in various forms and types makes it necessary to have the data on for various purposes. First, the data helps in understanding the dynamics of the disease in terms of the person who is likely to be affected, from data it, therefore, evident that females are more likely to get breast cancer thus they are more vulnerable to the disease than men. Such data are also important in the sense that they help in setting priorities for the investment, research and concentration of efforts in countering the disease, furthermore, the data on the rate of new cancer infection cases can be used as basis for understanding the “complex interactions might exist between behavioral, environmental, and infectious factors that predispose individuals to infection-related cancers to a greater extent” (Corey & Fitzmaurice, 2016). The data provides detailed information on the key issue of demography such as age and gender and sex and how they influence the occurrence and spread of cancer.
Trends from the data
The data provides very useful trends social critical in the treatment of cancers. First, the data demonstrates the trends depicted by each type of cancer in terms of their spread and likelihood of the acquiring the disease. From the data, a female breast cancer ranks among the highly dangerous cancer that is easily acquired. Next, the spreads of the disease per given age group is also a trend worth noting, such a trends help the stakeholders in understanding the emerging issues that may affect the infection of the diseases per given age. But generally, the data demonstrates the growing trends in the new cases of infection, if the data are compared with the previous one existing, the practitioner can deduce more about the spread of the diseases compared to the previous cases.
How to control the spread (policy implementation)
The data have depicted new trends in the treatment of cancer thus calling for new strategies for the countering the menace. Controlling or mitigating the spread of cancer is a process that can be made possible, first, in terms of policies, there should be “legislation, laws, statements, policies or prevailing practices enacted by those in authority to guide or control institutional, community and sometimes individual behavior to prevent or cure cancer” (WHO, 2018). Similarly, using the data, it is possible to influence the kind of legislation such that policies are made ensure that the more resources are diverted towards research on the mechanisms for challenging the spread of the disease across various age groups. Finally, the data is instrumental in shaping the thinking of the stakeholders such that they are able to develop operations and strategies for controlling the disease, first, through developing the behavioral practice and rallying the public to adopt them as means of control strategies for the disease that knows no age.
Conclusion
Dataset forms a center stage in the provision of better medical treatment; they form the basic necessity that influences the policies, strategies and operations in the health sector. A properly collected and analyzed data provides the stakeholders with the framework and guidelines for the course of actions and decisions to be made.
References
Casper, C., & Fitzmaurice, C. (2016). Infection-related cancers: prioritising an important and eliminable contributor to the global cancer burden. The Lancet Global Health, 4 (9). doi:10.1016/s2214-109x(16)30169-3
United States Cancer Statistics: Data Visualizations. (n.d.). Retrieved January 30, 2018, from https://nccd.cdc.gov/USCSDataViz/rdPage.aspx
World Health Organization. (2008). Cancer control; knowledge into action, WHO guide for effective programme. The Cancer Control – Policy and Advocacy . Retrieved January 30, 2018.
