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This approach aim, however, is focused on the individual experiences of professionals and/or neighborhood associations, to recognize the health concerns of the whole community. The value of such an approach is both cheap and constant, but it lacks the rigors of more rigorous quantitative methods and less likely to detect latent challenges within the group. In comparison, the practice of formal group consensus methods will address this role more thoroughly and rigorously in order to create consensus strategies so as to avoid narrowing the number of possible problems to consider, as is the tendency of various quantitative approaches.

Using data, however, the data must be extrapolitanized from wide region information in order to recognize urban health issues. The validity of the method ultimately relies on the amount of burden the wide region has taken on the society [21]. By using secondary data, such as vital statistics and census data, more comprehensive research is difficult for the practice as general problems are established.

Tendency, though to rely on some health conditions, may miss a significant issue merely because it was not part of the dataset. For example, an epidemiological analysis of diastolic blood pressure within the population may produce advanced data on distribution, correlates, and hypertension determinants. At the cost of a larger data collection, though, the information in the hypertension set is collected. The use of these data to classify the health issues of the population may also make it easier for the profession to ignore some (maybe more critical) problems of health.