kpcresults hm dec27v1

8/3/2019 KPCresults HM dec27V1

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1 Results

1.1 Demographic Characteristics

Table 1: Age of Children under 2 (n=358)

Age of children (n=300) Freq %0 to 5 months 107 30

6 to 11 months 95 27

12 to 23 months 156 43

Total 358 100.0

Table 2: Sex of Children under 2 (n=358)

Sex of children (n=358) Freq %Female 137 45.7

Male 163 54.3

Total 358 100.0

1.2 Maternal and newborn care:

1-1-1-Health Center/Home Delivery

Table 5:Effectifs %

Health Center 213 59,7Home 144 40,3

Total 357 100,0

Table 7: Assistance during the Delivery (n=358)

Person who assisted Freq %


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*w ithin this group, some responses ( 4) w ere categorized as auxiliaire and the crosscheck on w here this staff exist sho w s that they are in Health Centers. Thisrefer to Health post w orkers ( HP w ) w ho temporarily w ork in Integrated HealthCenters ( CSI)

The Catch indicator includes Health post w orker as qualified Personnel since theyw ere trained by Project in Clean Delivery. Some of this HPW are nurses but may not

be kno w n as such by respondents.

There almost 40% of delivery still attended by TBA (Matrons) even though they arenot considered as skilled personnel. The project has devoted considerable time in thesensitization to teach to TBA in their ne w role of companion to delivery .

Table 6: Home delivery By TBAHomedeliveryTBA Frequency Percent Cum Percent Yes 67 47,2% 47,2%

No 75 52,8% 100,0%Total 142 100,0% 100,0%

95% Conf Limits Yes 38,8% 55,7%

No 44,3% 61,2%

Comments:w hen w e cross w here do the Birth assisted by matrons took, w e find that only half of

them w ere at Home, 50% of these Births assisted by TBA( 75/142) occurred inHealth Centers. This is w ell kno w practices particularly in CSI and District Hospitalw here matrons are still used for night shift under Mid w ife supervision. Officially

matrons are expected even in those centers to accompany Parturient to Maternity andhelp the w omen in post partum w ards. But the reality is that matrons continue to assistdelivery w hen the Mid w ife actually w ent to rest during.

Doctor/ Nurse/Mid w ife 161 45

HP w orker 28 8

Traditional birth attendant 140 40

Other 25 *

Not assisted 2

Total 358 100.0


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Table 8 : Use of Clean delivery Kits (n=358)

76% of the deliveries benefited clean delivery. Project has provided a single usedelivery Kit in health centers. The Kit comprises a 2 Yards Cloth to cover the baby, arazor blade, gloves and a soap. While 60% of the delivery occurred in health centers,approximately 16% of Kit used w ere either at home or else w here.

Table 8 : Postpartum Check for Mothers within 3 days (n=202)

1.3 BreastfeedingTable 9: Time of B reastfeeding after B irth (n=300)

Even if 35.3% children w ere put to breast w ithin 1 hour after birth, only 21% received breast milk w ithout any other food or liquids.

W as a Clean Delivery Kitused during delivery?

Freq %

Yes 272 76

No 84

Do Not Kno w 2 1

Total 358 100.0

Person who did the visit Freq %Qualified health w orker 43 14.3

Community health w orker /Traditional birth attendant

19 6.3

Other 1 0.3

Not assisted 237 79.0

Total 300 100.0

Time Freq %Within 1 hour 106 35.3

After 1 hour 186 62.0

Did not breastfeed 8 2.7

Total 300 100.0


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3.4 Vitamin A Supplementation

Table 10 : Children who received Vit A (n=239)

Table 11 : Children who received Vita A in the last 6 Months (n=239)

3.5 Immunization

As sho w n in Table 12 belo w , an important proportion of mothers lost their cards (26.6%) and probably some of those w ho reported not having a card may simply have lost them

Table 12: Child Health Booklet/ Vaccination Card (n=169)

3.6 Malaria

Table 13: Children who had Fever in the Last Two W eeks (n=300)

Received Vit A (at least once) Freq %Yes 182 76.2

No 38

Did not kno w 6 2.5

Not applicable 13 5.4

Total 239 100.0

Received Vita A (at least once)

Freq %Yes 148 61.9

No 62

Did not kno w 14 5.9

Not applicable 15 6.3

Total 239 100.0

Presence of card Freq %Card seen 77 45.6

Card lost 45 26.6

No card 46 2

Did not kno w 1 0.6

Total 169 100.0

Episode of Fever


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Table 14: Children who had Fever in the Last Two W eeks and SoughtTreatment (n=182)

Table 15: Places W here Children Got Treatment (n=131)

Table 16: Households that Own at least one Net (n=300)

Table 17 : Children who Slept under ITN Last Night (n=300)

Freq %Yes 182 60.7

No 118

Total 300 100.0

Sought treatment for feverFreq %

Yes 131 72.0

No 51

Total 182 100.0

Places Freq %Public health Facility 91 69.5

Street vendors 30 22.9

Shops 6 4.6

Other 2 1.5

Traditional healers 1 0.8

Pharmacies 1 0.8

Total 131 100.0

Households with at least one net Freq %Yes 242 80.7

No 58

Total 300 100.0

Slept under ITN Freq %Yes 116 38.7


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38.7% of children slept under an ITN but only 29.3% w ere protected because someITNs w ere more than three years old and/or w ere torn.

1.7 PneumoniaTable 18: Children who had Suspected Pneumonia in the Last Two W eeks(n=300)

Table 19: Children who had Pneumonia the Last Two W eeks and SoughtTreatment (n=243)

1.8 Diarrhea

Table 20: Children who had Diarrhea in the Last Two W eeks (n=300)

Table 21: Children who had Diarrhea in the Last Two W eeks and SoughtTreatment (n=92)

No 184

Total 300 100.0

Suspected pneumoniaFreq %

Yes 243 81.0

No 57

Total 300 100.0

Sought treatmentFreq %

Yes 160 65.8

No 83

Total 243 100.0

DiarrheaFreq %

Yes 92 30.7

No 208 Total 300 100.0

Sought treatment


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1.9 Anthropometric Measurements

Graph 1: Underweight Malnutrition (Age/ W eight) and Age Group (n=300)

3.10 Summary Table of Rapid CATCH Indicators

Table 22: Rapid CATCH Indicators

Indicator Num. Denom. % CIMaternal and Newborn Care Percentage of mothers w ith children age 0-23 months w ho received at least t w o Tetanustoxoid vaccinations before the birth of theyoungest child

63 300 21 6.9

Percentage of children age 0-23 monthsw hose births w ere attended by skilled

personnel29 300 9.7 4.9

Percentage of mothers of children age 0-23w ho received a post-partum visit from a

trained healthw

orker w

ithin 3 days after birth of the youngest child

62 300 20.76.9

Percentage of mothers of children age 0-23months w ho had four or more antenatalvisits w hen they w ere pregnant w ith theyoungest child

26 300 8.7 4.6

Breastfeeding Percentage of children age 0-5 months w how ere exclusively breastfed during the last 24hours

3 61 4.9 7.8

4

61

26

46484141

33

0

10

20

3040

50

60

70

malnourished Non malnourished

Malnourished versus non malnourishedby age group

0-5months

6-11months

12-17months

18-23months

Freq %Yes 67 72.8

No 25

Total 92 100.0


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NutritionPercentage of infants and young childrenage 6-23 months fed according to aminimum of appropriate feeding practices

7 239 2.9 3.0

Vitamin A Supplementation Percentage of children age 6-23 months w horeceived a dose of Vitamin A in the last 6

months (Mothers recall)

148 239 61.9 11.7

Immunization Percentage of children age 12-23 monthsw ho received a DPT1 vaccination beforethey reached 12 months

46 169 27.210.3

Percentage of children age12-23 monthsw ho received a DPT3 vaccination beforethey reached 12 months

24 169 14.2 7.7

Percentage of children age 12-23 monthsw ho received a measles vaccination

24 169 14.2 7.7

Malaria Percentage of children age 0-23 months w hoslept under an insecticide-treated bed net the

previous night.

119 300 39.7 9.0

Percentage of children age 0-59 months w itha febrile episode during the last t w o w eeksw ho w ere treated w ith an effective anti-malarial drug w ithin 24 hours after the fever

began

3 182 1.62.6

Percentage of children age 0-59 months w ithdiarrhea in the last t w o w eeks w ho receivedoral rehydration solution (ORS)

22 92 23.9 13.3

ARI/Pneumonia Percentage of children age 0-59 months w ithchest-related cough and fast and/ or difficult

breathing in the last t w o w eeks w ho w eretaken to an appropriate health provider.

129 243 53.1 11.1

W ater and Sanitation Percentage of households of children age 0-23 months that treat w ater effectively.

13 300 4.3 3.3

Percentage of mothers of children 0-23months w ho live in a household w ith soap or a locally appropriate cleanser at the place for hand w ashing.

7 300 2.93.0

Anthropometrics Percentage of children 0-23 months w ho areunder w eight (-2 SD for the median w eightfor age, according to WHO/HCHS reference

population)

119 300 39.7 9.0

3.11 Summary Table of Key Project Indicators

Table 23: Summary of Key Project Indicators

Indicator Numerator Denominator Percentage

Percentage of children age 0-59 months w ith a febrile episodeduring the last t w o w eeks w ho w ere treated w ith an effective anti-malarial drug w ithin 24 hours after the fever began

3 182 1.6%


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Percentage of mothers w ith infants 0-23 months w ho received t w oobserved IPTs during last pregnancy 180 300 60%

Percentage of children age 0-23 months w ho slept under aninsecticide-treated bed net the previous night. 116 300 38.7%

Percentage of children 0-59 months w ith diarrhea in the last t w ow eeks w ho w ere offered more fluids during the illness 78 92 84.8%

Percentage of children 0-59 months w ith diarrhea in the last t w ow eeks w ho w ere offered the same amount or more food during theillness

12 92 13%

Percentage of children 0-59 months w ith diarrhea in the last t w ow eeks w ho w ere treated w ith zinc supplements 5 92 5.4%

Percentage of children age 0-59 months w ith diarrhea in the last t w ow eeks w ho received oral rehydration solution (ORS) and/or recommended home fluids

22 92 23.9%

Percentage of mothers of children 0-23 months w ho live in ahousehold w ith soap or a locally appropriate cleanser at the place for hand w ashing and w ho w ashed their hands w ith soap at least t w o of the appropriate times during the day or night before the intervie w (after defecation, after handling childrens feces, before preparingfood, and before feeding children/eating)

7 300 2.3%

Percentage of children 0-59 months w ith pneumonia w ho receivedappropriate treatment at an appropriate health facility 114 243 46.9%

Percentage of children 6-23 months w ho received vitamin A in thelast 6 months 148 239 61.9%

4 Discussion

4.1 Key Findings of KPC Survey and Programmatic Implications

The findings of the KPC survey w ere compared mainly w ith the Demographic and HealthSurvey (DHS) 2006 and the Nutrition Survey of 2009. It is important to consider that thosesurveys w ere performed at national and regional levels w hereas the KPC survey w as done atthe district level.

1.9.1 Malaria Case ManagementIndicator 1: Proportion of children under five with fever in the past two weeks who received anti-malarial treatment according to NMCP policy (Coartem) within 24 hours of onset of

fever

According to our findings, only 1.6% of children received an effective malaria treatmentamong the sample. Among 182 children w ho had fever, 131 children (72%) sought treatment,21 children (11.5 %) sought treatment w ithin 24 hours and only 3 children received


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appropriate treatment (Coartem). In the 2009 Nutrition Survey 1 the percentage of mothersw ho sought treatment for sick children w as at 69.1% in Tahoua District.

In the Niger Malaria Strategic Plan 2006-2010 2, it is stated that at least 80% of subjectsinfected w ith simple malaria w ill have received early diagnosis and effective treatment byartemisinin-based combination therapy (ACT) in the health facilities, including the health

posts. Although the target of 80% looks very ambitious, it can ho w ever be achieved becausemost people tend to seek care in formal facilities (91/131= 69.5%) as this is sho w n by Graph2 belo w . Ho w ever, the question concerning promptness of the treatment w as not asked in thenutrition survey. With a good behavior communication strategy, mothers could seek earlytreatment, especially if appropriate treatment for simple malaria cases (Coartem) is availableat the health post w hich is close to the population.

Graph 2 Number of Children and Sources of Treatment for Malaria (n=131)

Indicator 2: Proportion of mothers with infants 0-23 months who received intermittent preventive treatment (IPT) with Fansidar during last pregnancy.

Sixty percent of mothers w ith infants 0-23 months received intermittent preventive treatment(IPT) w ith Fansidar during the last pregnancy . In the Demographic and Health Survey(EDSN-MICS III), this percentage w as very lo w (0.3%). When this national survey w asconducted, the national strategy on Fansidar had not yet been implemented. Interestingly, theKPC survey findings are still belo w the national target of 80% in the Niger Malaria StrategicPlan. This target w ill be reached if strategies are put in place to improve adherence toantenatal care w here pregnant w omen can have access to IPT.

Indicator 3: Percentage of children 0-23 months sleeping under a treated mosquito net the previous night

Nearly 40% of children under five slept under a treated mosquito net the previous night. Inreference to the national target, this result is still lo w . Ho w ever, this relatively lo w utilisationcould be explained by the fact that the KPC Survey took place during a lo w malariatransmission season. Ho w ever, it w as interesting to observe that more than 80 % of households visited had treated mosquito nets.

1 INS-Niger. Rapport denqute nationale Nutrition et Survie de lEnfant. Niger, May-June 20092 Ministry of Health-Malaria Control Program. Plan Stratgique de Lutte contre le Paludisme 2006-2010

9 130

6211

0 20 40 60 80 100

Public health facilitiesStreet vendors

ShopsOther

Traditional healersPharmacies

N umber of children treate S o u r c e s o

f t r e a t m e n t

N umber of children treated and sources of treatment


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4.1.2 Control of DiarrheaIndicator 4: Percentage of children age 0-59 months with diarrhea in the last two weeks whoreceived oral rehydration solution (ORS) and/or recommended home fluids

Our result (23.9%) is lo w er than the percentage observed in the 2009 Nutrition Survey w here52 % of children received either UNICEF packets or SRO made at home. One factor that canexplain this lo w coverage of children w ho received ORS is the shortage of ORS in healthfacilities. Indeed, among 92 children w ho had diarrhea, 67 children (72.8%) sought treatment

but only 18% w ere given SRO.

Indicator 7: Percentage of children 0-59 months with diarrhea in the last two weeks whowere offered the same amount or more food during the illness

Thirteen percent of children 0-59 months w ith diarrhea in the last t w o w eeks w ere offered thesame amount or more food during the illness. The main concern during diarrhea episodes isfluid loss leading to dehydration. Moreover, i t has been sho w n that children w ith fever are morelikely to have diarrhea even in the absence of any gastro-intestinal disease. Secondly, both thefever and the diarrhea could have a common underlying cause: malnourished children are

more likely to have both diarrhea and febrile illnesses such as pneumonia and malaria.

This result is not surprising in an area w here there has not been a special program to increasethe kno w ledge of mothers on good practices to feed children. In addition, even w ith the bestkno w ledge, it is not easy to feed a sick child. Based on our findings, messages on good

practices to feed children w ith diarrhea need to be developed. To be effective, messagescovering feeding of the child w ith diarrhea w ill need to be given over a long period of timeand by a variety of sources.

Indicator 8 : Percentage of mothers of children 0-23 months who live in a household with soap or a locally appropriate cleanser at the place for hand washing and who washed their hands with soap at least two of the appropriate times during the day or night before the

interview .

Only 2.3% of mothers reported w ashing their hands w ith soap at least t w o of the appropriatetimes during the day or night before the intervie w . The 2009 nutrition survey indicated that38 % of mothers w ash their hands at the appropriate times and 40% w ash their hands w ithsoap. Although hand w ashing is recognized as a major w ay to prevent diarrheal diseases, handw ashing remains lo w particularly hand w ashing w ith soap. A formative and baseline surveyon hand w ashing w ith soap w as conducted in Uganda (The Steadman Group-WSP, January2007) and sho w s that nearly 85% of the adults recognized the need to w ash hands w ith soapafter using the toilet.

4.1.3 Control of Pneumonia

Indicator 9: Percentage of children 0-59 months with pneumonia who received appropriatetreatment

Children w ith pneumonia w ere selected based on suspected pneumonia; therefore it includeschildren having cough and fast or difficult breathing. Ho w ever, it w as recognized that theestablishment of true a diagnosis of pneumonia w as often insufficient. Interestingly, out of 243 children w ho had pneumonia in the last t w o w eeks, 160 children (65.8%) sought for treatment. Among children w ho sought treatment, treatment w as given to 113 (70.6%) of


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them in the formal health sector. This result is very encouraging because most of the motherscan easily get appropriate treatment in public health facilities.

Graph 3 Number of Children and Sources of Treatment for Pneumonia (n=160)

Graph 4 belo w indicates that out of 160 children w ho sought treatment, 115 received thecorrect drug and a significant proportion of children w ere taken to an appropriate health

provider. This figure is similar w ith other data provided by MICS and DHS from manycountries. According to previous studies, 54% of children under five in the developing w orldw ere taken to an appropriate provider. Sub-Saharan Africa has the lo w est levels of careseeking behavior for pneumonia at 41% (UNICEF/WHO, 2006)

Graph 4 W here Children with Pneumonia Received Treatment (n=115)

4.1.4 Nutrition

Indicator 10: Percentage of children 6-23 months who received Vitamin A in the last 6 months.

A relatively high percentage of children (61.9%) in the KPC survey sample received VitaminA during the last 6 months. Although this proportion is quite good, it is less than the resultobserved in the 2009 Nutrition Survey at 85 %. Generally, Vitamin A is distributed throughsemi-annual campaigns in Niger. The project could ho w ever consider ho w to improve routinedistribution of Vitamin A and improve nutritional education to mothers, stressing the benefitsof consuming of Vitamin A rich foods.

1

2

12

32

113

0 20 40 60 80 100 120

Other

Pharmacy

Shops

Street vendors

Public health facility

N umber of ch ildren treated

Places where children sought for treatment

124

8100

0 20 40 60 80 100 120

Other

Street vendors

N umber of children with pneumonia who

received the recommende drug(amoxicillin/cotrimoxazole)


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Indicator11: Percentage of children aged 0-23 months who are underweight (-2 SD from themedian weight-for-age, according to the WHO/NCHS reference population)

According to our data, 39.7% of children aged 0-23 months w ere under w eight. This proportion of malnourished children is similar to the finding in the 2006 Demographic andHealth Survey in Tahoua Region. Our results indicated that malnutrition increases w ith age.

Few er children under six months w ere malnourished. In general, the level of malnutritionamong children less than six months of age is very often lo w compared to older children. It isw ell kno w n that malnutrition is much more pronounced after six months w hen children begintaking complementary foods.

According to WHO/UNICEF recommendations, if the prevalence of malnutrition in a given population of children under five exceeds 20% of Z-score of -2SD it is concluded that the population is malnourished. The results of this survey sho w that the prevalence of malnutrition in Tahoua District is far higher. Our results are similar to those observed in the2009 Nutrition Survey w here the prevalence of malnutrition w as 39.7%. This NutritionSurvey also provides figures for Height-for-Age and Weight-for-Height.

Graph 5 Types of Malnutrition by age group (n=300)

Graph 6 Sex of Child and Malnutrition (n=300)

Graph 6 reveals that there is no significant difference bet w een boys and girls as far asmalnutrition is concerned. This finding is similar to results observed in the 2006 Demographicand Health Survey. Malnutrition among children under t w o years of age is a real public health

problem and may result from the quasi-permanent food-deficit situation in Niger. It is

49

123 1

21 25 206

1328

35

1315 1823 18

0

20

40

60

Nomalnutrition

mildly moderate severe

T he 3 types of malnutrition distributed by agegroup 0-5months

6-11months12-17months18-23months

58

83

61

9 8

0

2040

60

80

100

120

malnourished Non malnourished

Malnutrition status versus sex

F

M


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important to have additional information about household behaviors and illnesses so as togenerate hypotheses about w hich practices are most associated w ith nutritional status.

Table 24 Comparison of KPC Values with Other Available Data Sources

Indicator KPC value(%)

DHS and MICS2006 TahouaRegion (%)

NutritionSurvey 2009TahouaRegion (%)

Maternal and Newborn Care Percentage of mothers w ith children age 0-23 months w horeceived at least t w o Tetanus toxoid vaccinations before the

birth of the youngest child

21 23.6 42.7

Percentage of children age 0-23 months w hose births w ereattended by skilled personnel

9.7 14.2 22.2

Percentage of mothers of children age 0-23 w ho received a post-partum visit from an appropriate trained health w orker w ithin three days after the birth of the youngest child

21 26.9 Not available

Percentage of children age 0-23 w ho received a post-natal visitfrom an appropriate trained health w orker w ithin three daysafter the birth of the youngest child

25.3 Not available Not available

Breastfeeding Percentage of ne w borns w ho w ere put to the breast w ithin onehour of delivery and did not receive prelacteal feeds

21 46 32.2

Percentage of children age 0-5 months w ho w ere exclusively breastfed during the last 24 hours

4.9 14 9.9

Immunization Percentage of children age 12-23 months w ho received DPT1vaccination before they reached 12 months

27.2 58 ( DTC) 36.4 (card)75.7(recall)

Percentage of children age12-23 months w ho received a DPT3vaccination before they reached 12 months

14.2 39 (DTC)

55 (polio)

31.7 card)64.7 (recall)

Percentage of children age 12-23 months w ho received ameasles vaccination

14.2 47 65.5

5 Conclusion

Table 24 sho w s that for some indicators there are w ide differences in values bet w een the KPCsurvey and the 2009 Nutrition Survey: exclusive breastfeeding (4.9% vs. 9.9%), measlescoverage (14% vs. 65%) and proportions of births attended by skilled health personnel (9.7%

vs. 22.2%). The percentages reported in previous surveys w ere often substantially higher thanthose in the KPC survey. These differences are likely due to variations in ho w the indicatorsare defined. The other institutions did not provide information on precise definition of indicators. Regional and seasonal variations may also contribute to the differences observed.

Some limitations need to be considered w hen interpreting the results of this research. First, asthe survey w as conducted exclusively in Tahoua District, differences of geographic locationsshould be considered w hen comparing w ith other studies performed in the w hole region of Tahoua. Second, it is important to consider that the Core Team only trusted information


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w ritten on the health cards and not the mothers recall concerning immunization. This methodcould have greatly affected the results of the study but may prove to be more reliable. Finally,as the intervie w ers included members of the health staff, this could have influenced theresponses of the respondents. Respondents may kno w w hat the intervie w er is looking for andgive the correct ans w er instead of w hat they actually practice or believe.

In the future, it is advisable to conduct periodic performance assessments using Lot QualityAssurance Sampling (LQAS) methodology. This can be done every six months to comparedifferent areas in the district and even to have an overall estimate of the coverage in thedistrict. As LQAS uses supervision areas to choose the samples, the six communes could beconsidered as supervision areas or another geographical delimitation such as catchment areasof health centers could be used. The project staff together w ith the district staff can choose theLQAS small sample (generally 19 households for each supervision area) over a t w o-w eek

period as they travel to the selected communities in the course of their regular w ork.


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6 B ibliography

Henderson, R.H & Sundaresan,T. (1982). Cluster Sampling to Assess Immunization Coverage: A Review of Experience with a Simplified Method, "Bulletin of the World Health

Organization.

INS-Niger. (2006). Enqute Dmographique et de Sant et Indicateurs Multiples (EDSN- MICS).

INS-Niger. (Mai-Juin 2006). Enqute Dmographique et de Sant et indicateurs multiples. Niamey, Niger.

INS-Niger. (May-June 2009). Rapport d'Enqute Nationale "Nutrition et Survie de l'Enfant".

Ministry of Health-National Malaria Control Program. (Juin 2006). Plan Stratgique de luttecontre le paludisme. Niamey.

Niger, H. K. (2006). The Social Context of Child Malnutrition: Household Response to Food Crisis, Decision-Making and Childcare Practices.

Republic of Niger. (Aug 2007). Accelerated Development and Poverty Reduction Strategy2008-2010.

RN/ME/F/Institute National des Statistiques, W. B. (2005). Questionnaire Unifi sur les Indicateurs de Bien-tre de Base.

RN/Ministre de la Sant Publique. (2008). Avant-projet de Stratgie Nationale de Survie del'Enfant.

RN/MSP/DGSP/DEDP. (Dec 2008). Rapport Annuel d'Excution du PDS 2005-2010.

The Steadman Group-WSP. (January 2007). Are Ugandans' Hands Clean Enough. UNICEF. (2008). State of the World's Children.

UNICEF/WHO. (2006). Pneumonia, the Forgotten Killer of Children .


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Initiation of Breastfeeding:

Q 15:Did you ever breastfeed your child?

Effectifs Pourcentage Pourcentagevalide

Pourcentagecumul

Valide NON 4 1,1 1,1 1,1

OUI 354 98,9 98,9 100,0

Total 358 100,0 100,0

Q 16:How long after birth did you first put your child to the breast?


Pourcentagecumul

Valide HEURE 80 22,3 22,3 22,3

IMMEDIATEMENT 259 72,3 72,3 94,7

JOURS 13 3,6 3,6 98,3

NSP 6 1,7 1,7 100,0

Total 358 100,0 100,0

Q 17:During the first three or four days after delivery, before your regular milk began flowing, did you give your childthe liquid (colostrum) that came from your breast?


Pourcentagecumul

Valide NON 18 5,0 5,0 5,0

OUI 340 95,0 95,0 100,0

Total 358 100,0 100,0

Q 18: In the first three days after delivery, was your child given anything to drink other than breast milk?


Pourcentagecumul

Valide NON 302 84,4 84,4 84,4

OUI 56 15,6 15,6 100,0

Total 358 100,0 100,0

Annex: Detailed Results


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3- Delivery:

Q 25: where did you give birth to your child

Effectifs Pourcentage

Pourcentage valide

Pourcentage cumul

Valide Centre de sante 213 59,7 59,7 59,7Maison 144 40,3 40,3 100,0Total 357 100,0 100,0

Q 26: After your child was born, before you were discharge, did any healthcare providercheck on your health?


Pourcentage valide

Pourcentage cumul

Valide 144 40,3 40,3 40,3 NON 11 3,1 3,1 43,4

OUI 202 56,6 56,6 100,0Total 357 100,0 100,0

Q 27:After you were discharged, did any healthcare provider or a traditional birthattendant check on you health?


Pourcentage valide

Pourcentage cumul

Valide 158 44,3 44,3 44,3Heure1 158 44,3 44,3 88,5

jour1 19 5,3 5,3 93,8 NSP1 19 5,3 5,3 99,2

Semaine1 3 ,8 ,8 100,0Total 357 100,0 100,0

Q 28: W ho checked on you health at that time?


Pourcentage valide

Pourcentage cumul

Valide 328 91,9 91,9 91,9ABS 1 ,3 ,3 92,2ASC 14 3,9 3,9 96,1INFIRMIER/CLI 7 2,0 2,0 98,0

MEDECIN 2 ,6 ,6 98,6SF 5 1,4 1,4 100,0Total 357 100,0 100,0

Q 29: After you were discharged, did any healthcare provider or a traditional birthattendant check on you health?


Pourcentage valide

Pourcentage cumul


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Valide 146 40,9 40,9 40,9 NON 31 8,7 8,7 49,6OUI 180 50,4 50,4 100,0Total 357 100,0 100,0

Q 30:How long after delivery did the check take place?Effectifs Pourcenta

gePourcentage valide

Pourcentage cumul

Valide 180 50,4 50,4 50,4Heure2 124 34,7 34,7 85,2Jour2 33 9,2 9,2 94,4

NPS 1 ,3 ,3 94,7 NSP2 10 2,8 2,8 97,5Semaine2 9 2,5 2,5 100,0Total 357 100,0 100,0

Q 31A: W ho checked on you health at that time?


Pourcentage valide

Pourcentage cumul

Valide 326 91,3 91,3 91,3ASB 1 ,3 ,3 91,6ASC 12 3,4 3,4 95,0INFIRMIER/CLI 6 1,7 1,7 96,6MATRONE 5 1,4 1,4 98,0MEDECIN 1 ,3 ,3 98,3SF 5 1,4 1,4 99,7TRADITIONNELLE

1 ,3 ,3 100,0

Total 357 100,0 100,0

Q 32:After you child was born, did any healthcare worker or a traditional birthattendant check on your health?


Pourcentage valide

Pourcentage cumul


Q 33:How long after delivery did the first check take place?


Pourcentage valide

Pourcentage cumul

Valide 114 31,9 31,9 31,9Heure3 176 49,3 49,3 81,2


20/24


21/24

MEDECIN 1 ,3 ,3 99,2SF 3 ,8 ,8 100,0Total 357 100,0 100,0

Q 38:After you were discharged, did any health care provider or a traditional birth

attendant check on your childs health Effectifs Pourcentage

Pourcentage valide

Pourcentage cumul


Q 39: How many hours, days or weeks after the birth of your child did the check of yourchild take place?

Effectifs Pourcenta

ge

Pourcenta

ge valide

Pourcenta

ge cumulValide 328 91,9 91,9 91,9Heure1 EFT 11 3,1 3,1 95,0Jour1 EFT 15 4,2 4,2 99,2

NSP1 EFT 1 ,3 ,3 99,4Semaine1 EFT 2 ,6 ,6 100,0Total 357 100,0 100,0

Q 40: W ho check on your child health at that time?


Pourcentage valide

Pourcentage cumul

Valide 353 98,9 98,9 98,9ASC 2 ,6 ,6 99,4MATRONE 1 ,3 ,3 99,7SF 1 ,3 ,3 100,0Total 357 100,0 100,0

Q 41:During the first days after your child was born, did any health care provider or atraditional birth attendant check on your childs health?


Pourcentage valide

Pourcentage cumul


Q 42:How many hours, days or weeks after the birth of your child did the check of yourchild take place?


Pourcentage valide

Pourcentage cumul


22/24

Valide 78 21,8 21,8 21,8Heure2 EFT 222 62,2 62,2 84,0Jour2 EFT 36 10,1 10,1 94,1

NSP2 EFT 15 4,2 4,2 98,3Semaine2 EFT 6 1,7 1,7 100,0

Total 357 100,0 100,0

Q 43: W ho check on your child health at that time?


Pourcentage valide

Pourcentage cumul

Valide 305 85,4 85,4 85,4ASB 1 ,3 ,3 85,7ASC 19 5,3 5,3 91,0INFERMIER/CLI 2 ,6 ,6 91,6Infirmier/clinicien 8 2,2 2,2 93,8

MATRONE 4 1,1 1,1 95,0MEDECIN 1 ,3 ,3 95,2SF 7 2,0 2,0 97,2TRADITIONNELLE

10 2,8 2,8 100,0

Total 357 100,0 100,0

Epi iNfo:

1.9.1.1 Q 26

For w ardQ 26 Frequency Percent Cum Percent

NON 11 5,2% 5,2%

OUI 202 94,8% 100,0%

Total 213 100,0% 100,0%

95% Conf Limits NON 2,6% 9,1%OUI 90,9% 97,4%

1.9.1.2 Q 27

Back For w ard Current Procedure


23/24

Q 27 Frequency Percent Cum Percent

Heure1 159 79,1% 79,1%

jour1 19 9,5% 88,6%

NSP1 20 10,0% 98,5%

Semaine1 3 1,5% 100,0%Total 201 100,0% 100,0%

95% Conf Limits Heure1 72,8% 84,5%

jour1 5,8% 14,4% NSP1 6,2% 14,9%Semaine1 0,3% 4,3%

1.9.1.3 Q 28

Back For w ard Current ProcedureQ 28 Frequency Percent Cum Percent

ABS 1 3,4% 3,4%

ASC 14 48,3% 51,7%

C 1 3,4% 55,2%

INFIRMIER/CLI 7 24,1% 79,3%MEDECIN 2 6,9% 86,2%

SF 4 13,8% 100,0%

Total 29 100,0% 100,0%

95% Conf Limits ABS 0,1% 17,8%ASC 29,4% 67,5%C 0,1% 17,8%

INFIRMIER/CLI 10,3% 43,5%MEDECIN 0,8% 22,8%SF 3,9% 31,7%


24/24

1.9.1.4 Q 29


NON 34 16,1% 16,1%

OUI 177 83,9% 100,0%Total 211 100,0% 100,0%

95% Conf Limits NON 11,4% 21,8%OUI 78,2% 88,6%

1.9.1.5 Q 30


Heure2 124 70,1% 70,1%

Jour2 33 18,6% 88,7%

NPS 1 0,6% 89,3%

NSP2 10 5,6% 94,9%

Semaine2 9 5,1% 100,0%

Total 177 100,0% 100,0%

95% Conf Limits Heure2 62,7% 76,7%Jour2 13,2% 25,2%

NPS 0,0% 3,1% NSP2 2,7% 10,1%Semaine2 2,4% 9,4%

kpcresults hm dec27v1

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