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Home» About » Impact » 2010 December Impact Analysis

2010 December Impact Analysis

In order to analyze the impact of our program, we assess both quantitative data and qualitative factors. We collect data on: number of trained health activists, number of mothers registered, number of their prenatal visits, medicines supplied, immunization status and deaths due to pregnancy and delivery. Infant deaths are also recorded.

IMPACT OF PROGRAM IN 854 VILLAGES AS OF DEC 2010

METHOD:

  • The health literacy program was started in 2008. We trained one health activist (“Swasthya Sakhi”) per village, who further spread health literacy awareness in their villages.
  • We communicated with and collected data on every pregnant woman in these villages and connected them to public health facilities.
  • We compared the first set of 1,550 pregnancies and deliveries with the next set of 1,532 pregnancies in same 256 villages in 22 blocks.
  • We will continue to examine the impact of our program in sets of sequential 1,500 pregnancies.

 

RESULTS:

  • We have achieved significant maternal and infant mortality reduction.We have seen significant improvement in personal hygiene habits.
  • We have seen no improvement in adoption of family planning methods.

CONCLUSION:

  • Health Literacy has a significant effect in reducing maternal and infant mortality.
  • Health literacy improves habits of personal hygiene.
  • In our model we had no effect on acceptance of family planning: we are working to improve this.
Events From May to Nov 09
Baseline before training
Nov 09 to Dec 2010
Data after training
Reduction
Number Pregnancies 1550 4327
Maternal  Deaths 10 2 93%
Infant  Deaths 63 60 66%

Activity till Dec 2010

Number of Training Sessions 994
Number of Health Activists Trained 1302
Number of Villages Covered 854

Collateral Benefits

Number of Families adopted clean habits (hand washing) 78078
Number adopted family planning (Vasectomy or Tubectomy) 1287

Qualitative Impact

  • Awareness of health-care and health issues has risen within each community
  • Community members have internalized the best practices on health-care
  • Health-seeking behavior within the community has improved.
  • There is higher awareness, among women, of Government-sponsored plans such as the Janani Suraksha Yojana run under the National Rural Health Mission (NRHM)
  • Increased synergy with community and health functionaries: Self-Help Group meetings have emerged as platforms at which communication on health issues and information on health-care can be disseminated by government or village functionaries
  • Increased community support to Auxiliary Midwives and Anganwadi workers in disease surveillance and referrals
  • The convergence approach has brought a sense of responsibility among government functionaries and provided them an opportunity to work more effectively
  • Improved recording of health statistics.
  • Increased participatory involvement.

Deaths were due to:

  • Delay in registration with public health.
  • Poor antenatal care.
  • Delay in reaching the hospital.
  • Delivery at home.

How does this information help the program?

  • Health activists use the adverse outcomes to illustrate to the community the disastrous effects of the mistakes.
  • The data will form the base line to assess the impact our program has. To see this impact, we will compare this data to new data after next 1,500 live births

Data to December 2010:

Name of block Number of pregnant women Number of deliveries number of training events Number of families started healthy habits No adopted family planning
Total M F ID MD I 

 

 

 

NI
1 Amthi 175 106 51 55 98 8 11 561 19
2 Shahgarh 223 189 91 98 189 19 1098 21
3 Musafir khana 180 136 79 57 136 13 648 27
4 Gauri ganj 193 136 66 70 136 12 498 18
5 Sangram pur 163 124 53 71 124 12 464 23
6 Bhadar 187 142 67 75 140 2 11 478 19
7 Baldirai 254 176 101 75 3 174 2 18 669 19
8 Bhetua 242 121 58 63 121 18 598 24
9 Bhadiya 201 123 61 62 123 17 589 21
10 Jamo 224 173 84 89 170 3 19 598 19
11 Shukl bajar 122 98 43 55 2 96 2 18 488 11
12 Jagdish pur 182 133 66 67 128 5 10 589 24
13 Dubeypur 203 149 82 67 139 10 16 568 16
14 Kurwar 267 192 97 95 190 2 8 592 24
15 Dhanpatg 187 87 41 46 81 6 9 498 17
16 Deeh 129 55 28 27 3 47 8 10 500 6
17 Bahadur pur 127 56 28 28 3 49 7 12 560 2
18 Salon 57 37 15 22 2 26 11 5 286 2
19 Jagatpur 113 55 21 34 1 41 14 11 522 9
20 Singhpur 49 21 10 11 2 18 3 2 110 1
21 Rahi 183 70 33 37 4 60 10 14 570 3
22 Gaura 110 46 27 19 3 44 2 16 505 4
23 Amava 151 58 28 30 1 55 3 6 655 3
24 Chatoh 71 50 24 26 4 39 11 7 210 1
25 Unchahar 85 40 19 21 2 1 37 3 6 435 3
26 Rohaniya 28 10 6 4 7 3 2
27 Dalmau 42 24 12 12 6 19 5 4 335 1
28 Lalganj 110 55 23 32 3 50 5 8 480 4
29 Harchandpur 50 18 10 8 1 15 3 4 230
30 Bachrava 54 30 14 16 1 23 7 8 390 1
31 Sareni 83 62 30 32 2 50 12 9 410 5
32 Mahraj ganj 30 11 5 6 8 3 1
33 Satav 28 11 6 5 2 9 2 2
34 Lambua 17 1 1 1 6 1
Total 4520 2795 1380 1415 45 1 2642 153 344 15134 348

 

Abbreviation used

M: Male;              F: Female             ID: Infant death      MD: Maternal death

I: Institution (hospitals)          NI: Non institutional (house)

 


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