Diffusion of Innovation Research Assignment

Diffusion of Innovation
Diffusion of Innovation

Diffusion of Innovation

Diffusion of Innovation and Diffusion of Innovation Models

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Can Technology + Behavior Be Diffused?

post a brief description of a population segment (by race, ethnicity, economic status, geographical location, etc.). Then, explain the relationship between health inequality/inequities and common biological or behavioral risk factors that have been linked to a particular disease in that population segment. Finally, describe the relationship between health inequality/inequities and life expectancy for that population.


Diffusion of Innovation

The diffusion of innovation concept attempts to explain the extent to which innovations are adopted in a population. Innovation is explained as an idea or behavior perceived as new by its audience. Diffusion of innovation provides some valuable understanding of social change. It explains the qualities that make an innovation spread, how essential is peer to peer conversations and peer networks and in understanding the demands for other different users. Behavioral and technological factors influences innovation diffusion and it spreads through social networks. Certain innovation spread more quickly due to its relative advantage, its compatibility with the existing value and practices, how simple it is and to use and the observable outcomes ( Bird, Conrad, Fremont, & Timmermans, 2010).

Evidences suggest that the differences in racial/ethnicity in death rate are linked to socioeconomic resources because of the data available. Most of the evidences are found on the health experience of the blacks and white in understanding racial or ethnic inequalities.

The potential power of the socioeconomic status image in realizing health inequalities including racial or ethnic disparities is apparent in the fact that socioeconomic differences in health results have been widely documented for most health conditions in most countries.

The individuals who suffer from the diseases such as physical impairedness and experience higher mortality rate are those who are poor and with less education (Bird, Conrad, Fremont, & Timmermans, 2010). In the United States, those who are better off have fewer health problems and some of their health conditions are sensitive to socioeconomic status. The differences in racial and socioeconomic are greater in some proportions of health. For instance, the death rates from heart diseases are higher in black men than in white men, but they do not disagree in the wide spread of the reported heart disease (Gee, Walsemann, & Brondolo, 2012).

The relationship between the socioeconomic status and health changes by age because of the differential relationships between the disease and socioeconomic status. The mortality rate in young adults is majorly prevailed by AIDS and violent deaths that are related to socioeconomic status. Deaths from of heart disease and cancer are prevalent in the middle adult ages (Killewo,  Heggenhougen, & Quah, 2010). Early deaths from these causes may be among those with either high vulnerability or lifelong insult. The causes of death and many causes of disability that dominate old age have a long period of development. The mortality rate is not the same as the racial/ethnic differences in disability (Gee, Walsemann, & Brondolo, 2012).

Some factors of health are completely beyond the human ability to determine and, therefore, make it difficult to work towards complete equality in health. Equity implies some aspects of social unfairness. Therefore, in case a population more youthful than the other dies due to inherited differences, which is a non- controllable factor, it may be conclude that it is a health difference. On the other hand, the situation would be classed as health inequity if the life expectancy of the population is lower due to lack of access to proper medications. These unfairness cases may include the differences in the existence of diseases, and access to an hospital or health results between the populations, which has a different race, ethnicity or socioeconomic status.


Bird, C. E., Conrad, P., Fremont, A. M., & Timmermans, S. (2010). Handbook of Medical Sociology, Sixth Edition. Vanderbilt University Press.

Gee, G. C., Walsemann, K. M., & Brondolo, E. (2012). A Life Course Perspective on How Racism May Be Related to Health Inequities. American Journal of Public Health102(5), 967-974.

Killewo, J. Z. J., Heggenhougen, K., & Quah, S. R. (2010). Epidemiology and demography in public health. San Diego, CA: Academic Press/Elsevier.

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