Data Analysis

Data Analysis

Data Analysis

After completing the survey, the data from the answers were compiled and transferred to an excel document. This way we could analyze the answers and calculate a percentage of the patients that marked a particular answer both as a combined survey representing the city of La Paz and a separate analysis comparing and contrasting the marked answers between the two different socioeconomic communities in La Paz. A further more detail analysis of the survey will be reserved for the capstone project, in which a statistical analysis and an epidemiological study will be conducted and presented as our capstone project. Here are the results from our survey:

Q1

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

A

2

1.9

2.0

2.0

B

17

16.2

17.0

19.0

C

56

53.3

56.0

75.0

D

25

23.8

25.0

100.0

Total

100

95.2

100.0

Missing

System

5

4.8

Total

105

100.0

Q2

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

A

11

10.5

10.5

10.5

B

30

28.6

28.6

39.0

C

47

44.8

44.8

83.8

D

17

16.2

16.2

100.0

Total

105

100.0

100.0

Q3

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

A

12

11.4

11.8

11.8

B

13

12.4

12.7

24.5

C

42

40.0

41.2

65.7

D

35

33.3

34.3

100.0

Total

102

97.1

100.0

Missing

System

3

2.9

Total

105

100.0

Q4

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

A

6

5.7

5.8

5.8

B

32

30.5

31.1

36.9

C

47

44.8

45.6

82.5

D

18

17.1

17.5

100.0

Total

103

98.1

100.0

Missing

System

2

1.9

Total

105

100.0

Q5

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

A

22

21.0

21.6

21.6

B

24

22.9

23.5

45.1

C

31

29.5

30.4

75.5

D

25

23.8

24.5

100.0

Total

102

97.1

100.0

Missing

System

3

2.9

Total

105

100.0

Q6

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

A

37

35.2

36.3

36.3

B

24

22.9

23.5

59.8

C

5

4.8

4.9

64.7

D

36

34.3

35.3

100.0

Total

102

97.1

100.0

Missing

System

3

2.9

Total

105

100.0

Q7

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

A

23

21.9

22.5

22.5

B

24

22.9

23.5

46.1

C

28

26.7

27.5

73.5

D

27

25.7

26.5

100.0

Total

102

97.1

100.0

Missing

System

3

2.9

Total

105

100.0

Q8

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

A

25

23.8

24.3

24.3

B

44

41.9

42.7

67.0

C

28

26.7

27.2

94.2

D

6

5.7

5.8

100.0

Total

103

98.1

100.0

Missing

System

2

1.9

Total

105

100.0

Q9

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

A

23

21.9

22.1

22.1

B

49

46.7

47.1

69.2

C

26

24.8

25.0

94.2

D

6

5.7

5.8

100.0

Total

104

99.0

100.0

Missing

System

1

1.0

Total

105

100.0

1. When asked how difficult or easy is it to you to access your prescription drugs after discharge, 62% of the patients HLA thought it was a difficult and a further 26% felt it was somewhat difficult. Comparatively 25% of patients in the HDN thought that access to medication after discharge was difficult and another 56% felt it was somewhat difficult. Coelom 47% of patients from hospitals and thought that it was difficult to access medicines after discharge and another 38% felt it was somewhat difficult. "Easy" and "fairly easy" were not as popular as the other answers from 2% to 13% of patients, the marking of these responses in HLA HDN and relatively. This data shows that access to medicines after the hospital discharged difficult in general, in La Paz. However, it is even more difficult for the population of patients living in the suburbs of access to their medications. From the analysis of observations, we noted that pharmacies in the suburbs are smaller and do not carry the same stock as the village pharmacy. Difficulties in obtaining drugs is an issue that requires further attention and study in Bolivia, especially in urban and suburban areas. The exact cause of this problem is not part of the study, and this requires a much closer look at supply, demand and corruption, which is dominated by developing countries, but several reasons for this problem is further analyzed follow-up questions.

2. Replying to a question, you or your family had your problems in the past to fill their medications because of lack of medical care in Bolivia, 41% of patients HLA answer "sometimes". Another 32% felt it was rarely a problem and 16% thought it was never a problem. Only 10% believed that the lack of drugs, can cause problems in Bolivia. The results of HDN were very similar to HLA, and therefore a combination of both survey results are appropriate and reflect the results mentioned above. We assume that the absence of certain drugs in Bolivia, of course, a matter that suburban and rural communities, in addition, these two surveys show that both communities have similar views on the issue. This absence is often a result of excessive costs and demands and ...