Needs of Uninsured, Low Income & Minority Groups for Ophthalmology patients
Needs of Uninsured, Low Income & Minority Groups for Ophthalmology patients
It is seen that the population with low income groups & minority groups are having the more risks of ophthalmic problems like general vision problem, color blindness, night blindness etc.
This is due to that these people are having the low or compromised nutritional tendencies especially in case of protein as well as vitamins as essential micronutrients are not generally taken in their diet as they cannot afford or maintain it in the regular recommended practices.
This problem becomes more challenging and serious as these are generally uninsured.
Hence there is need to conduct general and periodic eye examination programmes by the government as well as non government agencies and supply the accessory materials as needed.
At the same time there is needed to provide the healthy food along with the supplements rich in proteins and vitamins specially vitamin A.
Then it is also advisable to educate the people in such communities by regular public awareness programs regarding such concerns.
Educate regarding the proper diet plans.
Motivate to get insured.
Then if possible give them the relaxation in the term insurance premiums or in installments.
Needs of Uninsured, Low Income & Minority Groups for Ophthalmology patients
Special Populations with Special Health Needs in Ophthalmology
what are Steps to alleviate the disparity among low income and education in minority
Uninsured Patients: It is estimated that 16.8% of all adults in the U.S. are uninsured. You take a random sample of 240 adults seen by a certain clinic and find that 47 (about 20% of them) are uninsured. (a) Assume the 16.8% value is accurate. In all random samples of 240 U.S. adults, what is the mean and standard deviation for the number of those who are uninsured? Round both answers to 1 decimal place. μ = σ = (b)...
A hospital director is told that 21 % of the treated patients are uninsured. The director wants to test the claim that the percentage of uninsured patients is above the expected percentage. A sample of 200 patients found that 50 were uninsured. At the 0.05 level, is there enough evidence to support the director's claim? Step 3 of 7: Specify if the test is one tailed or two-tailed. Answer 2 Points Tables Keypad One-Tailed Test Two-Tailed Test A hospital director...
A hospital director is told that 28 % of the treated patients are uninsured. The director wants to test the claim that the percentage of uninsured patients is under the expected percentage. A sample of 180 patients found that 45 were uninsured. Determine the decision rule for rejecting the null hypothesis, Ho, at the 0.02 level. Answer E Tables 5 Keypad Reject Ho if
A hospital director is told that 46% of the treated patients are uninsured. The director wants to test the claim that the percentage of uninsured patients is more than the expected percentage. A sample of 160 patients found that 80 were uninsured. At the 0.10 level, is there enough evidence to support the director's claim?
A hospital director is told that 47%47% of the treated patients are uninsured. The director wants to test the claim that the percentage of uninsured patients is over the expected percentage. A sample of 350350 patients found that 175175 were uninsured. At the 0.010.01 level, is there enough evidence to support the director's claim?
A hospital director is told that 46%46% of the treated patients are uninsured. The director wants to test the claim that the percentage of uninsured patients is above the expected percentage. A sample of 370370 patients found that 185185 were uninsured. At the 0.050.05 level, is there enough evidence to support the director's claim?
A hospital director is told that 45%45% of the treated patients are uninsured. The director wants to test the claim that the percentage of uninsured patients is more than the expected percentage. A sample of 190190 patients found that 9595 were uninsured. At the 0.050.05 level, is there enough evidence to support the director's claim?
A hospital director is told that 46%46% of the treated patients are uninsured. The director wants to test the claim that the percentage of uninsured patients is more than the expected percentage. A sample of 280280 patients found that 140140 were uninsured. At the 0.020.02 level, is there enough evidence to support the director's claim?