4.2.17. Problems that hinder Mutual Health Insurance
|
Problems
|
Number of respondents
|
Percentage (%)
|
|
Lack of contribution fees
|
3
|
21
|
|
Insufficient infrastructure
|
5
|
36
|
|
Few health centers
|
4
|
29
|
|
Beneficiaries' low income
|
2
|
14
|
|
Total
|
14
|
100
|
Table 12 : Problems
that hinder MHI
Source: Primary data 2012
From the table above, 36% or 5 respondents shown that
insufficient infrastructure was the most problem that hinders mutual health
insurance, few health centres was pointed as MHI barrier by 4 respondents and
this represents 29% of the whole respondents, 3 respondents show that lack of
contribution fees was the one among the problem that hinder MHI, while 2
respondents which represent 14% argued that beneficiaries' low income problem
hinders MHI.
4.3. Analysis, Presentation and
Interpretation of data part two (staffs).
4.3.1.
Distribution of age
Table 13: Distribution of
age
|
Age group
|
Frequency
|
Percentage (%)
|
|
Between 18-30
|
4
|
25
|
|
Between30-42
|
8
|
50
|
|
Between 42-54
|
2
|
12.5
|
|
Between 54-66
|
2
|
12.5
|
|
Above 66
|
0
|
0
|
|
Total
|
16
|
100
|
Source: Primary data 2012
From the table above, a half (50%) of the whole respondents
are in the age group of 30-42, 25% of the whole respondents are in group age of
18-30, while the other 25% respondents are in group age of 42-54 and 54-66 each
includes 12.5% of the whole respondents' respectively. The big number of
respondents is youth. Hence they can mentally and physically contribute to the
economic development stages because these are majority staffs in the sector.
They are the ones to sensitize and mobilise the beneficiaries on the
governments' different initiatives.
4.3.2.
Distribution of sex
Table 14: Distribution of
sex
|
Gender
|
Frequency
|
Percentage (%)
|
|
Male
|
10
|
62.5
|
|
Female
|
6
|
37.5
|
|
Total
|
16
|
100
|
Source: Primary data 2012
From the table above, it is shown that the study addressed to
female and male gender, the males were 10 which is equivalent to 62.5%% of the
selected sample of workers while females were 6 equivalent to 37.5% which shows
that gender balance is prevailed in different levels where decisions are made
and actively this number can influence decisions made in the sector, this
implies that female gender plays a big role in health insurance sensitization
among the poeple.
4.3.3.
Workers' distribution according to marital status
Table 15: Workers' distribution
according to marital status
|
Marital status
|
Number of respondents
|
Percentage (%)
|
|
Single
|
9
|
56
|
|
Married
|
7
|
44
|
|
Widow/widower
|
0
|
0
|
|
Total
|
16
|
100
|
Source: Primary data 2012
The table above shows that the respondents in this study were
classified into three categories; single, married and widow (er). The single
presents a frequency of 9 which covers 56% of 16 respondents. This implies that
the information given by this group is significance since these include a big
number of staffs which live with beneficiaries almost every day explaining to
them governments' policies. They include a big number of executive secretary
and social affairs of the cells. From this table married population were 7
which represent 44%. This part is made up in the most number of staff at the
sector level and the nurses. This population is contributing a big to this
policy of MHI by sensitization to pay insurance fees.
| 
