Filter
4706
Text search:
Family
planning
Featured
378
1938
Language
4502
114
44
43
36
17
14
11
10
9
8
8
6
6
5
5
4
4
4
4
4
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Document type
4007
257
201
101
38
35
23
21
14
4
2
2
1
Countries / Regions
313
172
154
134
133
130
130
127
125
118
117
102
91
90
70
68
68
64
63
63
61
54
53
52
51
47
40
37
33
33
31
29
28
28
28
22
21
19
19
18
18
17
16
16
14
14
14
13
12
11
11
11
11
10
10
8
8
8
8
7
7
7
7
7
6
6
6
6
6
6
5
5
5
5
4
4
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Authors & Publishers
256
247
188
140
132
119
114
110
49
45
43
40
36
33
32
32
32
30
30
26
25
25
24
24
23
23
22
22
20
19
18
18
17
17
17
17
17
16
15
15
15
15
14
14
14
13
13
13
13
12
12
12
12
12
12
12
12
11
11
11
11
10
10
10
10
10
10
10
9
9
9
9
9
9
9
9
9
9
9
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Publication Years
230
3808
637
30
1
Category
2286
322
215
204
159
138
12
5
2
Toolboxes
403
352
272
158
140
121
119
98
83
70
66
57
48
33
30
28
26
23
19
14
6
2
2
1
Indicators for monitoring the 2016 United Nations Political Declaration on Ending AIDS
UNAIDS supports countries to collect information on their national HIV responses through the Global AIDS Monitoring (GAM) framework—an annual collection of 72 indicators on the response to HIV in a country. ... These data form part of the data set used to report back to the General Assembly.
Different from the HIV epidemiological estimates that countries produce for data on the state of the epidemic in a country—that is, data for making estimates on the number of people living with HIV, AIDS-related deaths, etc.—GAM collects information on HIV programmes, including the number of people living with HIV who know their HIV status and people on HIV treatment, and on stigma and discrimination. A full list of the indicators is given in the GAM guidelines. more
UNAIDS supports countries to collect information on their national HIV responses through the Global AIDS Monitoring (GAM) framework—an annual collection of 72 indicators on the response to HIV in a country. ... These data form part of the data set used to report back to the General Assembly.
Different from the HIV epidemiological estimates that countries produce for data on the state of the epidemic in a country—that is, data for making estimates on the number of people living with HIV, AIDS-related deaths, etc.—GAM collects information on HIV programmes, including the number of people living with HIV who know their HIV status and people on HIV treatment, and on stigma and discrimination. A full list of the indicators is given in the GAM guidelines. more
Nigeria is Africa’s most populous nation and accounts for nearly one quarter of the continent’s maternal, newborn and child deaths. In the spirit of the global Countdown to 2015 for Maternal, Newborn and Child Health and the Nigerian Saving One Million Lives Initiative, these state data profiles
...
have been designed to prompt and inform policy and programme action.
Without data there can be no accountability. Without accountability we risk making no progress for Nigeria’s women and children. The data included in these profiles come mainly from large-scale, periodic household surveys. Continued efforts are needed to strengthen civil registration, vital statistics and health management information systems, as well as the institutional capacity to gather and use these data.
Updated from 2011, these data profiles can be used to compare progress in different areas, identify opportunities to address specific coverage gaps, and monitor implementation.
more
The Newborn Situational Analysis reports of 2009 and 2011, as well as the “Bottleneck analysis on neonatal health” of 2013, culminated in the Nigeria launch of “Call to action on Newborn health” at the first National Newborn Health Conference in 2014. This call to action provided the framewo
...
rk for the development of the Nigeria Every Newborn Action
Plan (NiENAP). The NiENAP lays out a vision to end preventable stillbirths and newborn deaths by accelerating progress and scaling up evidence- based high-impact and cost effective interventions. The plan is guided by the principles of country-leadership, integration, accountability, equity, human rights, innovation and research. This blue print outlines our commitment as government and stakeholders to repositioning newborn health as we implement approaches that impact on the lives of newborns for improved health outcome.
more
The Early Childhood Development Policy and its Strategic Plan seek to provide a framework to ensure such a holistic and integrated approach to the development of young children. International research has demonstrated the high economic returns on ECD investment and its positive impact on health and
...
education outcomes as well as the overall economic development of a nation. The implementation of the ECD Policy will thus provide Rwanda with the basis for achieving the objectives and goals of the EDPRS and Vision 2020.
more
A case study of the Essential Health Benefit in Tanzania mainland
Todd G.; Nswilla A.; Kisanga O.; Mamdani M.
Regional Network for Equity in Health in east and southern Africa (EQUINET)
(2017)
C1
Regional Network for Equity in Health in east and southern Africa (EQUINET): Disussion Paper 109
This report describes the evolution of mainland Tanzania’s EHB; the motivations for developing the EHBs, the methods used to develop, define and cost them; how it is being disseminated, communicat ... ed, and used; and the facilitators (and barriers) to its development, uptake or use. Findings presented in this report are from three stages of analysis: literature review, key informant perspectives and a national consultative meeting. more
This report describes the evolution of mainland Tanzania’s EHB; the motivations for developing the EHBs, the methods used to develop, define and cost them; how it is being disseminated, communicat ... ed, and used; and the facilitators (and barriers) to its development, uptake or use. Findings presented in this report are from three stages of analysis: literature review, key informant perspectives and a national consultative meeting. more
The UNFPA Zambia 2017 Annual Report highlights key milestones and achievements recorded with UNFPA support towards improving the health and well-being of women and young people in Zambia.
Attraction and Retention of Rural Primary Health-care Workers in the Asia Pacific Region
Liu Xiaoyun; Zhu, Anna; Tang, Shenglan
World Health Organization, Regional Office for South-East Asia
(2018)
C_WHO
The Asia Pacific Observatory on Health Systems and Policies is a collaborative partnership which supports and promotes evidence-based health policy making in the Asia Pacific Region. Based in WHO’s Regional Office for South-East Asia, it brings together governments, international agencies, foundat
...
ions, civil society and the research community with the aim of linking systematic and scientific analysis of health systems in the Asia Pacific Region with the decision-makers who shape policy and practice.
more
Impact of health systems strengthening on coverage of maternal health services in Rwanda, 2000–2010: a systematic review
Maurice Bucagu, Jean M. Kagubare, Paulin Basinga, Fidèle Ngabo, Barbara K Timmons & Angela C Lee
Reproductive Health Matters
(2012)
CC
From 2000 to 2010, Rwanda implemented comprehensive health sector reforms to strengthen the public health system, with the aim of reducing maternal and newborn deaths in line with Millennium Development Goal 5, among many other improvements in national health. Based on a systematic review of the lit
...
erature, national policy documents and three Demographic & Health Surveys (2000, 2005 and 2010), this paper describes the reforms and the policies they were based on, and provides data on the extent of Rwanda’s progress in expanding the coverage of four key women’s health services. Progress took place in 2000–2005 and became more rapid after 2006, mostly in rural areas, when the national facility-based childbirth policy, performance-based financing, and community-based health insurance were scaled up. Between 2006 and 2010, the following increases in coverage took place as compared to 2000–2005, particularly in rural areas, where most poor women live: births with skilled attendance (77% increase vs. 26%), institutional delivery (146% increase vs. 8%), and contraceptive prevalence (351% increase vs. 150%). The primary factors in these improvements were increases in the health workforce and their skills, performance-based financing, community-based health insurance, and better leadership and governance. Further research is needed to determine the impact of these changes on health outcomes in women and children.
more
Zero Draft for Consultation, 3rd Version, November 2015
Draft May 2011
The first ever nursing and midwifery services policy document in the history of MoPH was developed with the following aims:
1. Create a positive environment for Nursing and Midwifery Policy and Practice
2. Promote education, training and career development for nurses an ... d midwives.
3. Contribute to the strengthening of health systems and services
4. Monitor the development of nursing and midwifery professions and ensure their quality
5. Streamline Nursing and Midwifery Workforce Management
6. Develop Partnerships for Nursing and Midwifery Services more
The first ever nursing and midwifery services policy document in the history of MoPH was developed with the following aims:
1. Create a positive environment for Nursing and Midwifery Policy and Practice
2. Promote education, training and career development for nurses an ... d midwives.
3. Contribute to the strengthening of health systems and services
4. Monitor the development of nursing and midwifery professions and ensure their quality
5. Streamline Nursing and Midwifery Workforce Management
6. Develop Partnerships for Nursing and Midwifery Services more
The objective of the evaluation is to understand whether the CHW program has achieved its intended objectives, thus contributing to the overarching objectives defined in the HSSP III of improving the health status of the population by “Ensuring universal accessibility of quality health services fo
...
r all Rwandans”.
This evaluation has focused on CHWs, who are selected, trained and deployed by the MoH to deliver a defined set of tasks at community level. CHWs are the central element of the Community Health Policy and of the community health strategy plan (CHSP) of the MoH.
more
This external performance evaluation of the Malawi Girls’ Empowerment through Education and Health Activity (ASPIRE), conducted 2.5 years after ASPIRE began, establishes the activity’s progress against its objectives, proposes adaptations for the final year, and captures lessons for application
...
in future girls’ empowerment, health, and education programming in Malawi.
more
Census Report Volume 4-C
The 2014 Myanmar Census provided the opportunity to measure maternal mortality. The questions on deaths in households during the twelve months prior to the Census were included in the questionnaire, as well as questions necessary to estimate maternal mortality indicator ... s. more
The 2014 Myanmar Census provided the opportunity to measure maternal mortality. The questions on deaths in households during the twelve months prior to the Census were included in the questionnaire, as well as questions necessary to estimate maternal mortality indicator ... s. more
Census Report Volume 4-A
This thematic report presents findings on fertility and nuptiality in Myanmar. The analysis hows that the total fertility rate is 2.5 children per woman at the Union level, 1.9 children per woman for urban areas, and 2.8 children per woman for rural areas. Total fertili ... ty for States and Regions varies from a high of 5.0 children per woman for Chin State to a low of 1.8 children per woman for Yangon Region. Total fertility appears to have declined at a rate of at least one child per woman per decade between 1970 and 2000. This relatively rapid decline apparently ceased sometime during the 1990s or 2000s. Estimates from the 2001 and 2007 surveys suggest that the level of fertility may have fluctuated between 2000 and 2014, but with no overall trend up or down. The marital status data shows an exceptionally high proportion of women remaining never married at age 50. more
This thematic report presents findings on fertility and nuptiality in Myanmar. The analysis hows that the total fertility rate is 2.5 children per woman at the Union level, 1.9 children per woman for urban areas, and 2.8 children per woman for rural areas. Total fertili ... ty for States and Regions varies from a high of 5.0 children per woman for Chin State to a low of 1.8 children per woman for Yangon Region. Total fertility appears to have declined at a rate of at least one child per woman per decade between 1970 and 2000. This relatively rapid decline apparently ceased sometime during the 1990s or 2000s. Estimates from the 2001 and 2007 surveys suggest that the level of fertility may have fluctuated between 2000 and 2014, but with no overall trend up or down. The marital status data shows an exceptionally high proportion of women remaining never married at age 50. more
Census Report Volume 4-F (Thematic report on Population Projections for the Union of Myanmar, States/Regions, Rural and Urban Areas, 2014-2050)
Key findings
- The total population of Myanmar is estimated to be 65 million by 2050. The projection is based on steadily declining population grow ... th rate over the projection period: from 0.9 per cent in 2015 to 0.3 per cent in 2050.
- The proportion of the urban population rises from 29.3 per cent in 2015 to 34.7 in 2050. The rural and urban crude birth rates both decline between 2015 and 2050, but the difference between them narrows to almost zero by the end of the period.
- The population of Yangon grows more rapidly than any other area, by 39 per cent between 2015 and 2031. Other rapidly growing areas include Kayah (37 per cent), Kachin (32 per cent), Nay Pyi Taw (27 per cent), and Shan (26 per cent). Ayeyawady, Magway and Mon lose population, mostly due to migration. more
Key findings
- The total population of Myanmar is estimated to be 65 million by 2050. The projection is based on steadily declining population grow ... th rate over the projection period: from 0.9 per cent in 2015 to 0.3 per cent in 2050.
- The proportion of the urban population rises from 29.3 per cent in 2015 to 34.7 in 2050. The rural and urban crude birth rates both decline between 2015 and 2050, but the difference between them narrows to almost zero by the end of the period.
- The population of Yangon grows more rapidly than any other area, by 39 per cent between 2015 and 2031. Other rapidly growing areas include Kayah (37 per cent), Kachin (32 per cent), Nay Pyi Taw (27 per cent), and Shan (26 per cent). Ayeyawady, Magway and Mon lose population, mostly due to migration. more
The guidance aspires
• To emphasize the 'need' to mainstream disaster risk reduction (DRR) in the health sector initiatives.
• To identify key approaches for mainstreaming DRR in the health sector in Myanmar, particularly in rural areas, based on the good practices, innovative approach ... es and lessons learned of Government, UN agencies, NGOs and others involved in the Cyclone Nargis recovery.
• Identify key ‘vulnerabilities and opportunities’ for creating a ‘safer health system’ in Myanmar.
No publication year indicated. more
• To emphasize the 'need' to mainstream disaster risk reduction (DRR) in the health sector initiatives.
• To identify key approaches for mainstreaming DRR in the health sector in Myanmar, particularly in rural areas, based on the good practices, innovative approach ... es and lessons learned of Government, UN agencies, NGOs and others involved in the Cyclone Nargis recovery.
• Identify key ‘vulnerabilities and opportunities’ for creating a ‘safer health system’ in Myanmar.
No publication year indicated. more
