Assessment of the Knowledge of Women regarding Prevention and Management of Complications of Cu-T insertion and Decision making Rural Families in Choosing Family Planning Methods in Kashmir Valley

 

Nighat Haffiz1, Rifat Haffiz2, Manju Chhugani3, Shakeela Akhtar1

1Lecturer, Government Nursing College, Srinagar

2Nursing Supervisor, SKIMS, Srinagar

3Principal, Rufaida College of Nursing, Jamia Hamdard, New Delhi

*Corresponding Author Email: nighathafeez123@gmail.com, parvaiz85@gmail.com, manjuchhugani@gmail.com, skhiradwaseem@gmail.com

 

ABSTRACT:

To study the prevalence of Cu-T complications among women and their knowledge regarding prevention and management of complications of Cu-T insertion and to determine the relationship between knowledge and the selected factors (age. religion. educational qualification, occupation. type of family, income, number of children, duration of copper-t insertion) and to identify the decision makers in the family in choosing family planning methods 100 rural women attending PHC’s of Kashmir were investigated in the present study. It was found that majority of women (90%) were Muslims, most of the of the study subjects (78%) were house wives, more than half (54%) were in the age group of 31-40 years, (45%) belonged to nuclear family, (40%) of women were having two children, (39%) women  were in the monthly income group between Rs 10001-15000. (29%) were having 1-2 years of Cu-T insertion, (35%) women had primary education, maximum number of women with Cu-T insertion complications  (12%), were having excessive vaginal discharge and minimum number of women  (2%), reported nausea and vomiting and only (1%) of women’s husband got hurt during sexual intercourse. Maximum subjects (70%) had inadequate knowledge regarding prevention and management of complications of Cu-T insertion. The mean of knowledge score was 20.8 (maximum score 34) and Standard deviation was found to be 6.96 depicting heterogeneity in the knowledge score of study subjects. There was a significant relationship between knowledge and  educational but there was no significant relationship between knowledge and factors like age, religion, occupation, type of family, income, number of children, duration of Cu-T insertion at 0.05 levels. Regarding the decision makers in the family in choosing family planning methods, most of women, (45%) were dominated by husbands. The study findings indicate that there is lack of knowledge among women regarding prevention and management of complications of Cu- insertion and hence there is need to educate and to give information to women regarding prevention and management of complications of Cu- insertion.

 

KEYWORDS: Cu-T complications, family planning, descision makers, knowkledge, Kashmir.

 

INTRODUCTION:

The earth is in the midst of a population explosion which threatens to exhaust the common   resources upon which its inhabitants depend. India, the largest democratic republic in the world, possesses 2.4% of world’s land area and supports 10% of the world’s population.

 

(Saurabh, B.S, et al) .It is the second most populous country after China. Every year it adds 16 million people to its large base of population. According to the World Population Projections by the United Nations, it is estimated that India would have a population of 1533 million by the year 2050. Under the Eighth Five year Plan (1991-1995), achieving a slower rate of population growth was considered as one of the most important priorities facing the nation and during the Ninth Five Year Plan (1997- 2002), reduction in the population growth, mortality and achieving desired level of fertility. During the Tenth Five–Year Plan (2002-2007), the main approach of the Family Welfare Programme was: to assess the needs of reproductive and child health, meeting the unmet need for contraception, and promoting male participation in the Planned Parenthood.

 

Rowe AK. (2009) reported that according to UNFPA, each pregnancy multiplies a woman’s chance of dying from complications of pregnancy or childbirth. Maternal mortality rates are particularly high for young and poor women, those who have least access to contraceptive services. It is estimated that one in three deaths related to pregnancy and childbirth could be avoided if all women had access to contraceptive services. Expanding access to client-centred information and services, where a range of effective contraceptive methods is offered and responsive counselling provided, reduces the number of unplanned pregnancies. These unintended pregnancies often lead to sub-optimal pregnancy care, unsafe abortions and overwhelmed mothers. As many as 50 per cent of pregnancies are unplanned, and 25 per cent are unwanted. The unwanted pregnancies are disproportionately among young, unmarried girls who often lack access to contraception. More than one quarter of pregnancies worldwide, about 52 million annually, end in abortion. Many of these procedures are clandestine, performed under unsafe conditions. About 13 per cent of maternal deaths are attributed to unsafe abortions, coupled with lack of skilled follow-up. In many developing countries, at least a third of women need contraceptive services. However,

·        Some women do not know about modern methods, are unable to obtain or afford them, or distrust or dislike the methods that are available

·        Single women and teenagers may be barred from obtaining contraceptive services

·        Other women are ambivalent about whether they want a child or are unsure about their ability to become pregnant

·        Still others live with a partner who does not approve of contraception or who wants them to become pregnant.

 

UNFPA is committed to closing the gap between the number of individuals who use contraceptives and those who would like to delay space or limit their families. UNFPA supports family planning services in countries around the world, usually within a broader context of reproductive health services. UNFPA supports family planning services that:

·        offer a wide selection of methods

·        reflect high standards of medical practice

·        are sensitive to cultural conditions

·        provide sufficient information about proper use or possible side effects

·        address women's other reproductive health needs

·        imparts training for the use of various family planning devices.

 

Empowerment and gender equality improve the health of women and children by increasing reproductive choices, reducing child marriages and tackling discrimination and gender-based violence. Partners should look for opportunities to coordinate their advocacy and educational programs with organizations focusing on gender equality. Shared programs might include family-planning services, health education services, and systems to identify women at risk of domestic violence. (UNFPA, Millennium Development Goal 3).

 

The UN Secretary-General's Global Strategy for Women's and Children's Health aims to prevent 33 million unwanted pregnancies between 2011 and 2015 and to save the lives of women who are at risk of dying of complications during pregnancy and childbirth, including unsafe abortion.

 

According to the United Nations Population Fund (UNFPA 30th December 2008).  In developing countries: Every minute

146 women become pregnant who did not plan or wish it

90 women experience a pregnancy-related complication;

35 women have an unsafe abortion;

1 woman dies from a pregnancy-related cause

 

The main objectives of the study were to determine the prevalence of Cu-T complications among women and their knowledge regarding prevention and management of complications of Cu-T insertion and to determine the relationship between knowledge and the selected factors (age. religion. educational qualification, occupation. type of family, income, number of children, duration of copper-t insertion) and to identify the decision makers in the family in choosing family planning methods. The conceptual framework of the study was based on the “health belief model”. The research approach adopted for the study was the descriptive survey approach. The convenience sampling technique was used to select study subjects. The sample consisted of 100 women attending selected PHC’s of Kashmir.

 

 

The tools developed and used for data collection were structured interview schedule to obtain data as per the objectives. The reliability of structured interview schedule to assess knowledge was established by KR-20.The reliability was found to be 0.82.The reliability of structured interview schedule to determine prevalence of Cu-T complications among women  and to identify the decision makers in the family in choosing family planning methods , was established by Test-Retest method and the reliability  was found to be 0.86.Thus the tool was found to be reliable. For establishing validity, the tool was given to 11 experts from medical and nursing field. Data gathered were analyzed and interpreted in the light of the objectives using descriptive and inferential statistics.

 

Table- 1 Frequency and percentage distribution of study subjects by their demographic characteristics.                    n=10 0

S.

No.

Demographic characteristics

Frequency/ percentage

1.

Age

·        Below 20 years

·        21-30 years

·        31-40 years

·        Above 41 years

 

0

38

54

8

2

Religion

·        Hindu

·        Muslim

·        Christian

·        Others

 

3

90

1

6

3

Education

·        No basic education [Illiterate] Primary

·        Secondary

·        Graduate

·        Post Graduate

·        Any other

 

20

35

25

15

5

0

4

Occupation

·        Housewife

·        Labourer

·        Private job

·        Government job

 

78

8

4

10

5

Type of family

·        Nuclear family

·        Joint family

·        Extended

 

43

42

15

6

Monthly income

·        Below Rs 5000

·        Rs 5001-Rs10000

·        Rs 10001-Rs 15000

·        Above Rs 15000

 

30

21

39

10

7

Age at marriage

·        Below 18 years

·        19-25 years

·        26-30years

·        Above 30 years

 

20

64

11

5

8

Number of children

·        1

·        2

·        3

·        >3

 

20

40

21

19

9

Duration of Cu-T insertion

·        6 months-1 year

·        1 year-2 years

·        2 years-3 years

·        3 years-4 years

·        4 years-5 years

·        Above 5 years

 

25

29

26

17

3

0

10

Frequency of menstruation

·        <20 days

·        20-23 days

·        24-27 days

·        28-31 days

·        More than 31 days

 

1

6

21

56

16

11

Personnel who inserted Cu-T

·        Doctor

·        Nurse

·        LHV

·        ANM

 

73

9

9

9

12

Gloves worn while inserting Cu-T

·        Yes

·        No

 

97

3

13

Number of pads used during menstruation

·        <2

·        2-4

·        4-6

 

0

52

48

 

 

Table-2 Frequency and Percentage Distribution of Study Subjects by Prevalence of Complications of Cu-T Insertion   n=100

Sr.

No.

Complication

Yes

(Frequency/ Percentage)

No

(Frequency/

Percentage)

1

Irregular menstrual bleeding

7

93

2

Excessive bleeding

9

91

3

Bleeding in between menstrual cycle

5

95

4

Excessive vaginal discharge

12

88

5

Foul smelling  vaginal discharge

6

94

6

Increased urinary frequency   (Polyuria)

3

97

7

Pain  during  sexual intercourse

3

97

8

Fever with chills

5

95

9

Nausea and vomiting

2

98

10

Husband get hurt during sexual intercourse.

1

99

11

Backache-Lower area-Upper area-Pain in the whole back area

11812

89

12

Pain abdomen-Lower abdomen-Upper abdomen-Pain in the whole abdomen.

3201

97

 

 

 

Table – 3 Frequency and percentage distribution of level of knowledge of Study Subjects.                                                                n=100

Level of Knowledge

Frequency

Percentage

Adequate

30

30%

Inadequate

70

70%

Adequate knowledge ≥ 50%

Inadequate knowledge ≤ 50%

 

 

Findings related to relationship between Knowledge Score and Selected Factors.

This section deals with the findings related to determination of the relationship of knowledge scores with selected variables viz.

-Age.

-Religion.

-Educational qualification.

-Occupation.

-Type of family.

-Income.

-Number of children.

-Duration of Cu-T insertion.

To establish relationship between knowledge score and selected variables, chi square was computed.

 

Table- 4. Chi Square Showing Relationship between Age and Knowledge .                                                                            n=100

Selected Variable

Knowledge score

X2

Below Mean

Above Mean

Age

<30

>30

 

20

36

 

18

26

 

0.38

X2 (1)=3.84, at 0.05 level of significance

 

The data in table 11 shows that the computed chi- square value is (0.38), which is lesser than table value of 3.84 at df (1). This shows that the chi square value is not significant at 0.05 level. Thus, indicating that knowledge score have no relationship with age of women with Cu- T insertion.

 

Table- 5 Chi Square Showing Relationship between Religion and Knowledge score                                                                       n=100

Selected

Variable

Knowledge score

X2

Below Mean

Above Mean

Religion

Muslim

Non-Muslim

 

51

5

 

39

5

 

0.16

X2 (1) =3.84, at 0.05 level of significance

 

The data in table 12, shows that the computed chi- square value is (0.16), which is less than table value of 3.84 at df (1). This shows that the chi square value is not significant at 0.05 level. Thus, indicating that knowledge score have no relationship with religion of women with Cu-T insertion.

 

Table- 6  Chi Square Showing Relationship between Education and Knowledge score                                           n=100

Selected Variable

Knowledge score

X2

Below Mean

Above Mean

Educational qualification

Illiterate

Literate

 

44

12

 

10

34

 

32.21*

X2 (1)=  3.84, at 0.05 level of significance

* -Significant at 0.05 level

 

The data in table 13, shows that the computed chi- square value is (32.21), which is greater than table value of 3.84 at df(1). This shows that the chi square value is significant at 0.05 level. Thus, indicating that there is significant relationship of knowledge with education of the women with Cu- T insertion.

 

Table-7. Chi Square Showing Relationship between Occupation and Knowledge score                                              n=100

Selected Variable

Knowledge score

X2

Below Mean

Above Mean

Occupation 

Unemployed

Employed

 

51

5

 

35

7

 

2.70

X2 (1)=3.84, at 0.05 level of significance

 

The data in table 14, shows that the computed chi- square value is (2.70), which is less than table value of 3.84 at df(1). This shows that the chi square value is not significant at 0.05 level. Thus, indicating that the knowledge score have no relationship with occupation of women with Cu-T insertion.

 

Table- 8. Chi Square Showing Relationship between Family Type and Knowledge score                                              n=100

Selected Variable

Knowledge score

X2

Below Mean

Above Mean

Family type

Nuclear  

Joint

Extended

 

24

24

8

 

19

18

7

 

0.23

 X2(2) = 4.99, at 0.05 level of significance

 

The data in table 15 shows that the computed chi- square value is (0.23), which is lesser than table value of 4.99 at df (2). This shows that the chi square value is not significant at 0.05 level. Thus, indicating that knowledge score have no relationship with family type of women with Cu-T insertion.

 

Table- 9. Chi Square Showing Relationship between Monthly Income and Knowledge score                       n=100

Selected Variable

Knowledge score

X2

Below Mean

Above Mean

Monthly Income

<Rs 10,000

 >Rs 10,000

 

32

24

 

19

25

 

1.92

X2 (1)=3.84, at 0.05 level of significance

 

The data in table 16 shows that the computed chi- square value is (1.920), which is less than table value of 3.84 at df (1). This shows that the chi square value is not significant at 0.05 level. Thus, indicating that knowledge score have no relationship with monthly income of women with Cu-T insertion.

 

Table- 10 Chi Square Showing Relationship between No. of children And Knowledge score                                                n=100

Selected Variable

Knowledge score

X2

Below Mean

Above Mean

No. of children

<2

 >2

 

32

24

 

28

16

 

0.43

 

X2 (1)=3.84 , at 0.05 level of significance

The data in table 17 shows that the computed chi- square value is (0.43), which is less than table value of 3.84 at df(1). This shows that the chi square value is not significant at 0.05 level. Thus, indicating that knowledge score have no relationship with number of children of women with Cu-T insertion.

 

Table- 11 Chi Square Showing Relationship between Duration of copper T insertion And Knowledge score                            n=100

Selected Variable

Knowledge score

X2

Below Mean

Above Mean

Duration of copper T insertion

<3 years

>3 years

 

32

24

 

22

22

 

0.50

X2 (1)=3.84, at 0.05 level of significance

 

Table-12. Frequency and Percentage Distribution of Study subjects by Their Decision Makers                                                      n=100

S.No

Decision  about Family Planning

Frequency/ Percentage (%)

1

Dominating person in the family

Self

Husband

Jointly by husband and wife

Mother-in-law

Grand mother

Mother

Sister

Sister-in-law

 

11

45

20

17

 2

 1

 1

 3

2

Decision maker regarding choosing the method

Self

Husband

Jointly by husband and wife.

Mother-in-law

Grand mother

Mother

Sister

Sister-in-law

         

 6

30

43

14

1

3

2

1

3

Women’s perception regarding the best decision maker

Self

Husband

Jointly by husband and wife.

Mother-in-law

Mother

Sister

Sister-in-law

 

11

28

49

6

3

2

1

 

 

The data in table 12 shows that the computed chi- square value is (0.50), which is less than table value of 3.84 at df (1). This shows that the chi square value is not significant at 0.05 level. Thus, indicating that knowledge score have no relationship with duration of Cu-T insertion of women.

 

 

Table-13. Frequency and Percentage Distribution of Study subjects by Their Decision Makers                                                   n=100

S. No

Complications

Frequency Percentage

YES

NO

1

Self ability to make decision

-Decision will not prevail

-Disagreement with husband

-Anger from family members

69

31

17

6

8

2

Decisions taken in all matters

51

49

3

Agreement of decision makers upon the decisions made by  women

64

36

4

Repentence of women over decisions  made  by decision maker

63

37

5

Support from decision maker to any particular family planning related problems

69

31

6

Acceptance of consequences  by decision maker at the failure of any choosen family planning method

69

31

7

Problems faced by adopting the decisions made by decision maker

-Health problems

-Psychological problems

-Financial burden

53

16

22

15

47

8

Perception that life turns better by adopting the family planning method

-Children taken care of

-Own health  protected

-Husband taken care of

-Household chores taken care of

-All the above

 

90

11

20

11

16

32

 

10

9

Sharing the decision  about adopting the family planning method with other family members

 

 

50

 

50

 

 

DISCUSSION

Findings of the study are discussed in terms of objectives and theoretical bases.

·        Women with Cu-T were having irregular menstrual bleeding. These findings were consistent with the findings of Hubacher D, et  al (2009). They conducted a study on the side effects from the copper IUD to find whether they increase over time. The study showed that irregular menstrual bleeding and pain complaints remain unchanged. H.M Veldhuis, et  al (2004), conducted a retrospective cohort study regarding complications and symptoms of the intrauterine device. Results of the study showed that main reasons for removal were ‘menstrual problems’ (irregular menses). Patai .K and Berényi .M, (2002) conducted a study on complications from the use of Cu IUD. The most common side effect of Cu IUD use was excessive bleeding. H. Salzer, et  al (2000) carried out a retrospective study on “Intrauterine contraception with Cu-T intrauterine device’’. Results showed menstrual disturbances (20.1%) necessitating removal of the device in (5.7%) women

·        Women with Cu-T insertion were having excessive menstrual bleeding. These findings were consistent with J.E Bradley,et  al (2009). They conducted a retrospective study on IUD’s in Bangladesh. 20% women reported excessive menstrual bleeding. In the present study, only 9% women reported excessive menstrual bleeding. Imperato F, et  al (2002), conducted a prospective study on the role of copper releasing intrauterine device on uterine bleeding. The study also revealed menorrhagia among women using Cu-T. Patai .K and Berényi .M, (2002) conducted a study on complications from the use of IUD. The study revealed that most common side effect of IUD use was excessive bleeding.

·        Women with Cu-T were having excessive vaginal discharge. These findings were consistent with Broso, P. R and Buffetti,G (2004). They conducted a study on uterine perforation associated with IUD insertion. They revealed that major health risks associated with IUD use were perforation of the uterus and pelvic inflammatory disease. Skajaa K, R et  al (2002) conducted a retrospective study on “Complications caused by intrauterine contraceptive devices. The results showed that excessive vaginal discharge (infection) occurred.

·        Women with Cu-T insertion were having pain abdomen and backache. These findings were consistent with H. Salzer, et  al (2000). They carried out a retrospective study on “Intrauterine contraception with Cu-T intrauterine device’’. Results revealed that the most frequent complication were menstrual disturbances (20.1%), pain abdomen  (9.5%), backache (10%), cervicitis (18.3%), necessitating removal of the device in 5.7%, 2%, 2.2 % and 5.1% respectively.

·        In the present study, women with Cu-T insertion complaint of backache, vaginal discharge, pain lower abdomen and menorrhagia. These findings were consistent with Agarwal, K and Sharma, U (2004). They conducted a clinical study on microbial and cytopathological changes in IUCD users in a tertiary care hospital. The study showed chief complaints of IUCD users included backache (54%), vaginal discharge (46%), pain lower abdomen (34%), dyspareunia (22%), menorrhagia (18%) and dysmenorrhoea (14%).

·        Majority of women were dominated by hu sbands regarding family planning decisions. These findings were consistent with Rakhshan, F, et  al 2010 who conducted a qualitative study to understand more about couple’s decision-making and to understand the role of men in family planning. All participants believed that men have an important role in family planning. Yadav, K, et  al (2010) conducted a study to assess the levels of agreement and concordance between husbands and wives regarding reproductive intentions and contraception in rural Ballabgarh, India. An in-depth analysis of the responses in the study provided evidence of male domination in decision making.  Nguyen, T.H, et  al (2009) conducted a study on decision-making in family planning among selected acceptors. The study revealed that process of decision-making to adopt family planning came as a result of preparatory discussions between the couples, husbands made the final decision in the adoption of family planning.

 

CONCLUSION AND RECOMMENDATIONS:

The study findings indicate that there is lack of knowledge among women regarding prevention and management of complications of Cu- insertion and hence there is need to educate and to give information to women regarding prevention and management of complications of Cu- insertion. Based on the study findings it is recommended that similar study may be replicated on large samples, also a comparative study may be conducted to find the knowledge of women in rural and urban settings regarding prevention and management of complications of Cu-T, also a comparative study may be undertaken to find out the decision makers in the family in choosing family planning methods between literate and illiterate women.

 

REFRENCES:

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3.       Veldhius, H.M, et al, “Intrauterine devices and pelvic inflammatory disease: recent developments”. Contraception. (2009) 36(1):97-109. 

4.       Patai, K and Berenyi, M,“ Postcoital contraception –Has its day come?” Journal of Nurse Midwifery. (2002) 39(6):363-369.

5.       H, Sclzer, Andurkar, S.P et. al, “Intention not to use contraceptives. A Retrospective Study of India”. Demography India. (1991) 30 (2):261-280.

6.       Agarwal, K and Sharma, K, “Intrauterine contraceptive devices. Complications associated with their use”. International Family Planning Perspectives. (2004) 28(4):182-86.

7.       Rakshan, F, et al, "Contraception in Nepal: Women’s Autonomy and the Importance of Husbands". Studies in Family Planning. (2010) 18(3): 157-168.

8.       Yadav V.B, et. al.“Influence of mothers-in-law on young couples’ family planning decisions in rural India”. Studies in family planning. (2010) 18 (35):154-162.

9.       Nguten, T.H, et al,“ Contraceptive decision making amongst men and women”.  Studies in barriers to Contraceptive use. (2009) 22(2):45-54.

 

 

 

 

 

Received on 05.09.2015                Modified on 21.09.2015

Accepted on 30.09.2015                © A&V Publications all right reserved

Asian J. Nur. Edu. and Research. 2016; 6(3): 315-320

DOI: 10.5958/2349-2996.2016.00059.8