Home About Us Contact Us

Official Journals By StatPerson Publication

Table of Content Volume 10 Issue 1 - April 2019



 

Utilization of intranatal care services in urban slums of Nanded city

 

Sunita P Pawar1, Geeta Pardeshi2*

 

1Assistant Professor, Department of Community Medicine, Dr. VPMCHRC Nashik, Maharashtra, INDIA.

2Professor, Department of Community Medicine, Vardhaman Mahavir Medical College and Safdarjung Hospital New Delhi, INDIA.

Email: drsunitapawar@gmail.com , kanugeet@gmail.com

 

Abstract               Background: Childbirth is a universally celebrated event. Complications during pregnancy, delivery and during postnatal period are well documented and many of them can be prevented and managed effectively. Urban slums lack basic health infrastructure and outreach services. In such conditions, ill health and premature deaths are rule rather than exception and the most severely affected are the women of childbearing age and children. Aims and Objective: To assess the utilization pattern of intranatal care and to identify the factors affecting it among married women of reproductive age in urban slum areas of Nanded city Methods: A community based cross sectional descriptive study was carried out from July 2009 to November 2011 in urban slums of Nanded city with sample of 400 women’s selected using Probability Proportionate Sampling. Analysis was done using appropriate statistical measures like proportions; chi square test was used to assess the difference between various proportions. Results: 6.75%women delivered in home, 93.25%delivered in institution. 6% deliveries were conducted by untrained birth attendants. Women’s age and education, husbands education and birth order was found to be significantly associated (p<0.05) with intranatal care service utilization Conclusions: Sociodemographic variables of reproductive age group women have impact on utilization of intranatal care services. Social and cultural accessibility is an important as physical accessibility. The risk factors identified for home deliveries are low educational status of respondents and their husbands and high parity. Respondents with these characteristics should be identified and motivated for institutional delivery.

Key Word: Intranatal care, Institutional delivery, Slum

 

 

INTRODUCTION

Childbirth is a universally celebrated event. Childbirth is essentially a healthy and welcome process but is also a moment of great risks. Complications during pregnancy, delivery and during postnatal period are well documented and many of them can be prevented and managed effectively. Pregnancy and childbirth are in fact leading cause of death and disability for women of 15 to 49 years of age group in developing countries. The healthy future of society depends on the health of the children of today and their mothers, who are guardians of that future1. Women need to access basic set of health care interventions before, during and after childbirth in order to have best chances of survival. A total of 11–17% of maternal deaths occurs during childbirth itself; 50–71% occurs in the post-partum period2. In India both child mortality (especially neonatal) and maternal mortality are high. India accounts for more than 1/5th of all maternal deaths from causes related to pregnancy and childbirth3. Maternal mortality and morbidity continue to be high despite existence of national programmes for improving maternal and child health in India. This could be related to non-utilization or under utilization of maternal health care services amongst rural poor and urban slum population due to either lack of awareness or access to health care services4. Urban growth has been exponential in India over the last few decades. It is estimated that of the nearly 30% of India’s population or about 300 million people live in towns and cities5. Urban slums lack basic health infrastructure and outreach services. In such conditions, ill health and premature deaths are rule rather than exception and the most severely affected are the women of childbearing age and children6. NFHS 3 (National Family Health Survey-2005-2006) has shown that two out of three births in Maharashtra takes place in health facility and one out of three births takes place in home. This survey shows that 83.3% of women in urban areas and 48.9% of women in rural areas have delivered in institutions. In slum areas of Mumbai and Nagpur, 83.3% and 77.7% of deliveries have been reported to be institutional respectively7. Urban slum population constitutes a marginalized section of the society. Health status and access of reproductive and child health services of slum dwellers is poor. The information on existing pattern of intra natal care service utilization in urban slums is essential for planning need based health care delivery services to urban slums. The present study is attempted in that direction.

 

AIM AND OBJECTIVES

To assess the utilization pattern of intra natal care services To identify the factors affecting it among married women of reproductive age in urban slum areas of Nanded city

 

METHODS

It was a community based cross-sectional descriptive study conducted from July 2009 to November 2011 in urban slums of Nanded city. There were 58 slums in Nanded city with total population of 1, 54, 020 as per records obtained from City Municipal Corporation office8. Study area situated in the perimeter of 8-10 km away from Government Medical College Nanded. According to National Family Health Survey-3 (2005-2006) prevalence of home deliveries in a slum of Maharashtra was 23%9, study was done with sample size of 400 with 20% allowable error, 95% confidence level, 25% additional sample size to reduce error due to noncompliance. Probability Proportionate Sampling (PPS) was used for deriving appropriate sample from slums10.

Sampling procedure: The steps for selection of the Primary Sampling Units were as follows All 58 slums of the city were arranged as per the list obtained from city Municipal Corporation from 1 to 58 with their respective population Total cumulative population was calculated by adding the population of current slum with population of all previous slums There were a total of 58 slums in the city out of which it was decided to include 20 slums in the sample.

Sample interval was calculated as:

Sample interval = Total cumulative Population / 20

 = 154,020 /20

 = 7701

Random number smaller than the sample interval was selected by using Random Number Table. The random number selected was 1080

For selecting first Primary Sampling Unit (PSU): As random number 1080 was smaller than total population of 1st slum i.e. 3687, thus 1st PSU was the 1st slum

For selecting second PSU: The sample interval was added to random number 1080, 1080 + 7701 = 8781, Number 8781 was greater than total cumulative population of slum 2 (4774) and 3 (6682) thus we had skipped slum Number 2 and 3 and as the number was less than total cumulative population of slum Number 4 (8994) thus 2nd PSU was slum Number 4

For selecting third PSU, sample interval was added to 8781: 8781+7701= 16482, Number 16482 was less than cumulative population of slum Number 9 (17101), thus 3rd PSU was slum Number 9 Likewise the 20 PSUs selected from 58 slums were as follows. 1, 4, 9, 17, 23, 26, 31, 32, 33, 36, 40, 43, 46, 48, 49, 51, 53, 55, 57, 58 20 respondents were selected from each of 20 PSUs to meet sample size of 400. While selecting house holds the selected PSUs were surveyed to identify any temple, hospital, mosque or restaurant situated approximately at the centre of the slum and a bottle was rotated there. Survey was started from the lane towards which mouth of the bottle was directed. Each house along the lane was visited and at the end of the lane, survey was continued on lane on left turn to the initial lane till sample size of selected slum was completed. Before starting the study, methodology and procedure was reviewed and approved by teaching staff of Department of Community Medicine and the Institutional Ethical Committee Before commencement of the study, community leaders, Anganwadi workers, ANM, link workers in the study area were visited and rapport was developed with them. They were informed regarding the conduct of study. Data was collected by face to face interview of the respondents. Information as per pretested schedule was collected by interviewing women who had delivered in the period from January 2008 to December 2009. If there was no woman in the house satisfying the inclusion criteria then that house was skipped and next house was visited. If there were more than one woman in the house satisfying the inclusion criteria, then all were selected to participate in the study. This survey method was adopted in all selected PSUs. Thus total 400 women from the selected PSUs were included in the study. All the informants were informed about the nature and consequences of the study. After obtaining informed verbal consent, they were interviewed. A pre designed and pre tested semi structured proforma was used for the collection of required information from respondents. They were assured of confidentiality about information obtained from them. Relevant information about the Intranatal care service utilization was recorded along with the socio-demographic data. Analysis was done using appropriate statistical measures like proportions.

 

 RESULTS

Distribution of study population according to socio-demographic factors: Majority of the women were in the age group 20-29 years 84.25%and 74. 94% husbands were in the age group of 25 to 35 years. Maximum number of women i.e. 35.75% were educated up to secondary school. 30.08% husbands were educated up to secondary school. Maximum number of husbands 52.63% were unskilled workers. 67.25% women belonged to socioeconomic class IV according to Modified Kuppuswamy scale. Majority of the deliveries were of the birth order ≥ 2 (71%) (Table 1)


Table 1: Socio demo graphic profile of Study population (n = 400)

Socio demo graphic characteristic

Frequency

%

Age of Women

<20 years

26

6.5

20—24 years

220

55

25-29 years

117

29.25

≤30 years

37

9.25

Age of Husband

<25 years

23

5.76

25-29 years

182

45.61

30-34 years

117

29.32

≥35 years

77

19.30

Education of women

Illiterate

51

12.75

Up to Primary school

27

6.75

Up to Highschool

260

65

Intermediate /Diploma

48

12

Graduate and above

14

3.5

Education of Husband

Illiterate

54

13.53

Up to Primary school

32

8.02

Up to High school

188

47.18

Intermediate/Diploma

85

21.30

Graduate and above

40

10.03

Occupation of women

Homemaker

365

91.25

Working

35

8.75

Occupation of Husband

Unemployed

4

1.00

Unskilled

210

52.63

Skilled/Semiskilled

116

29.07

Clerk, shop, farmer

40

10.03

Professional

29

7.27

Religion

Hindu

90

22.5

Muslim

179

44.75

Buddhist

131

32.75

Type of family

Joint

226

56.50

Nuclear

174

43.50

Birth order

1

116

29

2

133

33.25

3

87

21.75

4

44

11

>4

20

5

Socioeconomic status

Upper (I)

4

1

Upper middle (II)

35

8.75

Lower middle (III)

92

23

Upper lower (IV)

269

67.25


INTRANATAL CARE SERVICE UTILIZATION

Place of delivery: Out of 400 respondents included in the study, 27 (6.75%) delivered in home. 373 (93.25%) respondents delivered in institutions. Out of all, 163 (40.75%) delivered in public health facility and210 (52.50%) delivered in private health facility.

Figure1: Distribution of Place of Delivery

 

Delivery Care Providers: Out of 163 deliveries in public health facilities, 163 (100%)i.e. all were conducted by trained birth attendants. Out of 210 deliveries in private health facilities, 210 (100%) i.e. all were conducted by trained birth attendants. Out 27 home deliveries, 24 (88.89%) were conducted by untrained birth attendants and 3 (11.11%) were conducted by trained birth attendants (Table 2)

 

Table 2: Delivery care providers and place of delivery

Place of delivery

Delivery care provider

Total

Trained birth

attendant

Untrained birth

attendant

Public health facility

163 (100%)

0

163 (100%)

Private health facility

210 (100%)

0

210 (100%)

Home

3 (11.11%)

24 (88.89%)

27 (100%)

Total

376 (94.00%)

24 (6 %)

400 (100%)

Factors affecting intranatal care utilization: Women’s age and education, husbands education and birth order was found to be significantly associated (p<0.05) with intranatal care service utilization while no significant association was observed between intranatal care service utilization and women’s occupation, husbands occupation, socioeconomic status, religion and type of family (p>0.05) (Table 3)

 

Table 3: Association of place of delivery with various socio-demographic factors

Socio-demographic factors

Place of delivery

Χ2

P value

Institution

Home

N

%

n

%

Age of women

<24 years

235

95.53

11

4.47

5.270

<0.05

≥25 years

138

89.61

16

10.39

Women’s education

Middle school and below

174

84.23

21

10.77

9.76

<0.05

 

Secondary school and above

199

97.07

6

2.93

Women’s occupation

Housewife

341

93.42

24

6.58

0.09404

>0.05

 

Working

32

91.43

03

8.57

 

 

Socioeconomic status

I,II,III

126

96.18

5

3.82

2.66

>0.05

≥IV

247

91.82

22

8.18

Husbands education

Middle school and below

137

88.96

17

11.04

8.39936

<0.05

Secondary

113

94.17

07

5.83

Higher secondary

school and above

122

97.60

03

2.40

Husbands occupation

Semiskilled and above

177

95.68

8

4.32

3.619

>0.05

Unskilled and below

195

91.12

19

8.88

Type of family

Joint

215

95.13

11

4.87

0.8608

>0.05

Nuclear

158

98.80

16

9.20

Religion

Hindu

84

93.34

06

6.66

0.16174

>0.05

Muslim

166

92.74

13

7.26

 

 

Buddhist

123

93.89

08

6.11

 

 

Parity

1

111

95.69

5

4.31

7.8609

<0.05

2

128

96.24

5

3.76

≥3

134

88.74

17

11.26

DISCUSSION

Place of delivery: In this study conducted in urban slums, 6.75% respondents delivered in home. 93.25% respondents delivered in an institution out of which 40.75% delivered in public health facility and 52.50% delivered in private health facility A high proportion of institutional deliveries have been reported in two studies conducted in Mumbai city (90%). In other studies/reports from urban/ periurban areas of South Delhi (79%)11, slums in New Delhi (68.2%)12, slums in Lukhnow city (48.2%)13, slums of Indore city (27.9%)14 and in slums of Meerut city (27.2%)15of the country the proportion of institutional deliveries varied from 27.2% to 90%.

Delivery care providers: In the present study, 94% of deliveries were conducted by trained persons out of which 90.75% were conducted by doctors and 3.25% by nurses or ANM. Remaining 6% deliveries were conducted by untrained persons out of which 3.75% were by traditional birth attendant, 0.25% by other health personnel, 1.75% by relatives or friends and 1(0.25%) delivery at home was conducted without any assistance. A total of 88.89% home deliveries were conducted by untrained birth attendants and 11.11% were conducted by trained birth attendants Only one study by Varma DS et al.16 has reported that 98% of all deliveries were conducted by trained birth attendant. In other studies/reports attendance of delivery by trained birth attendants was 34.7 in slums of Meerut city15, 71% in urban areas of Varanasi17, 70% in 30 villages of Nanded district18. varied from 18.1% to 85.7%. Women’s age and education, husbands education and birth order was found to be significantly associated (p<0.05) with intranatal care service utilization In a study conducted by Das et19 in 48 slum communities in six wards of Mumbai significant association was reported between place of delivery and age of women, women education. Pandey S et al20 observed education of mother played a crucial role in making decision about place of delivery (p<0.001).

 

CONCLUSION

Physical accessibility to services does not necessarily lead to service utilization. Social and cultural accessibility is as important as physical accessibility. One of the socio-demographic goals mentioned in the National Population Policy 2000 of India is to achieve 80% institutional deliveries and 100% deliveries to be assisted by skilled health personnel by 2015. A high proportion (93.25%) of respondents in the urban slums utilized institutional services for intranatal care. However only 94% deliveries were assisted by traditional birth attendants and only 11.11% of home deliveries were assisted by trained birth attendants. Hence in order to achieve the second goal it is imperative to increase the proportion of institutional deliveries. Institutional delivery is only way to ensure provision of care by trained birth attendants during delivery. The risk factors identified for home deliveries are low educational status of respondents and their husbands and high parity. Respondents with these characteristics should be identified and motivated for institutional delivery.

 

LIMITATIONS

The findings of the study can be generalized to all the slums in a city but may not be generalizable to other slums with different socio demographic characteristics and availability of health services. The awareness and perception of the community about need for institutional delivery has not been studied. This needs in-depth study for which qualitative research methodology is suitable

 

REFERENCES
REFERENCES

    • The World Health Report 2005, Make every Mother and Child count. World Health Organization.( http://www.who.int/whr/2005/whr2005 en. pdf, accessed on 3 June 2011)
    • Liabsuetrakul T, Oumudee N. Effect of health insurance on delivery care utilization and perceived delays and barriers among southern Thai women. BMC public health 2011;11:510
    • Sugathan KS, Mishra V, Retherford RD. Promoting institutional deliveries in rural India: the role of antenatal-care services. Mumbai: International Institute for Population Sciences 2001:38. (National family health survey subject reports no. 20). (http://pdf.usaid.gov/pdf_docs/ PNACN953.pdf, accessed on 18 November 2011)
    • Agarwal P, Singh M M, Garg S. Maternal health-care utilization among women in an urban slum in Delhi. Indian J of Community Med 2007;32(3):203-205
    • Urban Health Facts and Figures. (http://uhrc.in/module ContentExpress-display-ceid-92.html , accessed on 5 June 2011)
    • Health of the urban poor in India, Issue, challenges and way forward 2007. (http://www.hss.iitm.ac.in/rt-ppp/Urban%20Health/Reports/ Health%20of%20the%20urban%20poor%20in%20india %20USAID.pdf , accessed on 2 June 2011)
    • International Institute Population sciences, Mumbai. District level Household and facility survey (DLHS-3) under RCH project, 2007-08: District. Municipal City Corporation, City Development plan 2006-2025, Statement of declared slum areas and proposed slum areas fordeclaration in the city.
    • International Institute for Population Sciences (IIPS) and Macro International. 2008. National Family Health Survey (NFHS-3), India, 2005-06: Maharshtra. Mumbai: IIPS.
    • Probability Proportional To size sampling. (http://www.who.int/tb/ advisory_bodies/impact_measurement_taskforce/meetings/prevalence_survey/psws_probability_prop_size_bierrenbach.pdf, accessed on 30 November 2011)
    • Dhar R, Nagpal J, Sinha S, Bhargava V, Sachdeva A, Bhartia A. Direct cost of maternity-care services in South Delhi: a community survey. J Health PopulNutr 2009;27:368-378
    • Agarwal P, Singh M M, Garg S. Maternal health-care utilization among women in an urban slum in Delhi. Indian J of Community Med 2007;32(3):203-205
    • Gupta P, Srivastava VK, Kumar V, Jain S, Masood J, Ahmad N et al. Newborn care practices in urban slums of Lucknow city, UP. Indian J Community Med 2010;35(1):82-85
    • Siddharth. Maternal and Newborn care practices among the urban poor in Indore, India. August 2007, USAID. Gaps, Reasons and Potential Programme options.
    • Timsi J, Singh J V, Bhatnagar M, Garg S, Chopra H, Mohan Y. Status of antenatal care in Meerut slums. Indian J Maternal Child health 2010;12 (4)
    • Varma DS, Khan ME, Hazra A. Increasing institutional delivery and access to emergency obstetric care services in rural Uttar Pradesh. J Family Welfare 2010;56(Special issue):23-30 .(http://medind.nic.in/jah/t10/s1/jaht10s1p23.pdf, accessed on 12 September 2011)
    • Bloom S, Lippeveld T, Wypij D. Does antenatal care make a difference to safe delivery? A study in urban Uttar Pradesh, India. Health PolicyPlanning 1999:14(1); 38-48.
    • Pardeshi GS, Dalvi SS. Pergulwar CR, Gite RN, Wanje SD. Trends in choosing place of delivery and assistance during delivery in Nanded District, Maharashtra, India. J Health PopulNutr 2011;29(1):71-76
    • Das S, Bapat U, More NS, Chordhekar L, Joshi W, Osrin D. Prospective study of determinants and costs of home births in Mumbai slums. BMC Pregnancy Childbirth 2010; 30(10):38.
    • Pandey S, Shankar R, Rawat CMS, Gupta VM. Socio-economic factors and delivery practices in an urban slum of district Nainital, Uttaranchal. Indian J Community Med 2007;3, 210-211.