Even though the use of contraception in Thailand has a prevalence of as high as 79.6%, there is still a proportion of women in certain regions of the country that do not use contraception [1]. The 2009 Reproductive Health Survey, conducted by the Thai National Statistical Office, revealed that the proportion of married women, aged between 15-49 years who use contraception was lowest among women who lived in the southern part of Thailand [1]. A study conducted in the United States found that low use of contraception posed a significant risk factor for unintended pregnancy, which usually ended in abortion [2]. In addition, the 2009 Thailand Reproductive Health Survey showed that the birth rate in the southern region of Thailand was higher than other regions [1]. High birth rate was associated with the number of children and shorter intervals between pregnancies, which can contribute to serious obstetrical and perinatal adverse events. These conditions can be avoided if fertile women who are at risk of unintended pregnancies use contraception.
One quarter of the people living in the southern part of Thailand are Muslims [3] and in the Muslims [4]. It is possible that religion may play a role in the acceptance and use of contraception. The fertility rate of Muslims in the south is higher than that of Buddhists [5]. Despite this, family planning is not forbidden among Muslims and the use of contraception can range from “permissible” to “disapproval” [6]. This indicated that among Islamic women, besides their religious beliefs, other factors may influence decisions by the women on contraceptive practices. Data from hospital statistics of the King Chulalongkorn Memorial Hospital, Bangkok, and Racha Nakarin Hospital, in one of the southernmost provinces of Thailand, Narathiwat, also showed that there were differences in the proportion of mothers with many children between Thai Muslims in Bangkok and Narathiwat [7, 8]. The proportion of Thai Muslim mothers with a lot of children in Narathiwat was higher than those who lived in Bangkok [7, 8]. Planned pregnancy and appropriate spacing of childbirth, which reproductive aged women can achieve by using contraception, is important for the well-being and health of the women. Therefore, it was recommended that health care providers investigate why these Thai Muslim women were not using contraceptives. Until now, there were limited data on the use of contraception by Thai Muslim women. Therefore, the main objective of this study was to compare and explore knowledge, attitudes toward, and practices (KAP) of contraception between Thai Muslim women living in Bangkok and those living in the southernmost provinces of Thailand. Factors that were associated with the KAP of contraception were also assessed. The KAP model was used because it has served as an insight into communities [9]. It is an appropriate tool with which to explore differences in the levels of knowledge and attitudes, which may affect the decision to use contraception. We ascertained whether the use of contraceptives had any relationship with the Muslim beliefs and practices.
Self-administered questionnaire was developed by using the FOG Zone Survey Questionnaire and the book Family Planning: A Global Handbook for Providers (2011 update) as references [9, 10]. The questionnaire was divided into three parts: demographics, Muslim rituals and practices, and KAP of contraception. Aside from collecting the general information, the first part of the questionnaire also assessed the participant’s future plans for having children. The second part of the questionnaire assessed the Muslim rituals and practices of the participant, such as the prayer (salat), alms tax (zakat), fasting during the month of Ramadan (sawm), and pilgrimage to Mecca (hajj). The last part of the questionnaire was divided into 3 subcategories to assess KAP of contraception. To assess the knowledge of contraception, there were 20 true/false statements, which included basic knowledge of how to correctly use contraceptive methods and any misconceptions of using condoms (6 questions), combined oral contraceptive pills (COCs) (6 questions), intrauterine devices (IUD) (5 questions), and depot medroxyprogesterone acetate (DMPA) (3 questions). For each correct answer, a score of 1 would be given. For any incorrect answer, a score of 0 would be given. Six questions assessed the participant’s attitude towards using contraception, including the impact of contraception on the health of the women. A Likert-type scale with 4 choices, ranging from a score of 1, indicating the person had the poorest attitude, to a score of 4, indicating that the person had the best attitude. The last part of the questionnaire assessed the participant’s contraceptive practices and/or lack thereof. Two experts in family planning reviewed and validated the questionnaire’s content.
This study was a community-based cross-sectional study, which was conducted in the Muslim communities in Bangkok and the southernmost provinces of Thailand including Yala, Pattani, and Narathiwat. A pilot study was conducted in each region, and its results were used to calculate the required sample size for this study. To achieve an 80% power at a significant level of 5%, a sample size of 176 subjects was required for each group. To address the issue of not responding to the questions, an additional 20% of the subjects were added to each group. A multistage clustered sampling technique was used to acquire the participants. Briefly, for Bangkok, 2 of 6 Muslim communities were sampled, and then participants were randomly selected from these communities. For the southernmost provinces, one district from each province was sampled, and then subjects were randomly selected from these districts. Only literate Thai Muslim women, ages between 15-49 years were eligible and included in this study. Thai Muslim women who did not live in their hometown were excluded.
After ethical approval of this study was obtained from the Institutional Review Board committee of the Faculty of Medicine, Chulalongkorn University (certificate of approval No. 358/2014), a self-administered questionnaire was distributed to participants from June–October 2014 by female research assistants, who were midlevel health care providers already working and providing health care services in those areas. During the regularly scheduled home visits, these research assistants would ask the participants if they wanted to participate in this study. Written informed consent to participate in the study was obtained from all participants. The questionnaire took approximately 15-20 minutes to complete. The questionnaires were collected from November 2014 to March 2015. Because the practice of the religion is a sensitive issue, the research assistants reassured the participants their confidentiality and privacy would be maintained throughout the study.
Descriptive and inferential statistical analyses were conducted using IBM SPSS for Windows version 17 (IBM Corp, Armonk, NY, USA). Mean, standard deviation, frequency, and percentage were used to display continuous and categorical variables respectively. Independent
A total of 423 participants were included in the analysis. Response rate of the participants, from Bangkok and the southernmost provinces were 86.8% (204/235) and 91.3% (219/240) respectively. The reliability of the questionnaire was statistically established; Pearson score for the knowledge component was 0.58, and the Cronbach alpha for the attitude component was 0.78.
Basic characteristics, Muslim rituals, and practices of the participants from both groups are shown in
Basic characteristics, beliefs and practices of Muslim women living in Bangkok or the southernmost provinces
Variables | Bangkok (n = 204) | Southernmost provinces (n = 219) | |
---|---|---|---|
Age (years)1 | 31.8 (9.09) | 30.2 (6.62) | 0.05 |
Education2 | |||
Below Bachelor’s degree | 126 (61.8) | 107 (48.9) | 0.008 |
Equal/higher than a Bachelor’s degree | 78 (38.2) | 112 (51.1) | |
Current number of children2 | |||
0 | 60 (29.4) | 56 (25.6) | 0.71 |
1 | 73 (35.8) | 74 (33.8) | |
2 | 43 (21.1) | 49 (22.4) | |
3 | 18 (8.8) | 25 (11.4) | |
≥4 | 10 (4.9) | 15 (6.8) | |
Income (Thai baht) | |||
<5,000 | 4 1 ( 20.1) | 51 (23.3) | 0.04 |
5,000-20,000 | 129 (63.2) | 149 (68) | |
>20,000 | 3 4 ( 16.7) | 19 (8.7) | |
Plan to have more children2 | |||
Yes | 89(43.6) | 145 (66.2) | 0.001 |
No | 93 (45.6) | 42 (19.2) | |
Not sure | 22 (10.8) | 32 (14.6) | |
Denominations of Islam | |||
Sunni | 155 (76.0) | 205 (93.6) | 0.001 |
Shia | 14 (6.9) | 1 (0.5) | |
Others | 35 (17.2) | 13 (5.9) | |
Ritual prayer (salat) | |||
1-4 | 109 (53.4) | 11 (5.0) | 0.001 |
5 | 78 (38.2) | 204 (93.2) | |
Fasting during the month of Ramadan (sawm) | |||
<7 | 11 (5.4) | 0 (0) | <0.001 |
7-13 | 24 (11.8) | 1 (0.5) | |
14-20 | 64 (31.4) | 10 (4.6) | |
21-27 | 49 (24.0) | 69 (31.5) | |
28+ | 56 (27.5) | 139 (63.5) | |
Alms tax (zakat) | |||
Ever in the past year | 185 (90.7) | 209 (95.4) | 0.05 |
Never in the past year | 19 (9.3) | 10 (4.6) | |
Pilgrimage to Mecca (hajj) | |||
Ever in the past year | 194 (95.1) | 212 (96.8) | 0.37 |
Never in the past year | 10 (4.9) | 7 (3.2) |
Mean knowledge scores of the participants from Bangkok and the southernmost provinces were 13.26/ 20 and 13.09/20 respectively. For the knowledge of contraceptive methods, the 2 groups of participants had the highest score on DMPA and condoms. Attitude scores of the participants, who lived in Bangkok and the southernmost provinces were 15.69/24 and 15.08/24 respectively. There were no significant differences in the knowledge and attitude scores between participants who lived in Bangkok and the 3 southernmost provinces. Contraceptive use of the participants, who lived in Bangkok and 3 southernmost provinces were 57.4% (117/204) and 68.0% (149/219) respectively as shown in
Knowledge, attitudes, and practices (KAP) of contraception among Muslim women living in Bangkok or the southernmost provinces
KAP of contraception | Bangkok | Southernmost provinces | Mean difference ( | |
---|---|---|---|---|
Mean (SD). | ||||
Condom (6) | 4.52 (1.02) | 4.37 (1.11) | 0.16 (–0.04, 0.36) | 0.23 |
Combined oral contraceptive pills (6) | 3.34 (1.28) | 3.39 (1.22) | –0.05 (–0.29, 0.19) | 0.65 |
Intrauterine devices (5) | 3.09 (0.98) | 3.04 (0.90) | 0.05 (–0.13, 0.23) | 0.57 |
Depot medroxyprogesterone acetate (3) | 2.31 (0.70) | 2.29 (0.65) | 0.02 (–0.11, 0.15) | 0.80 |
Sum score (20) | 13.26 (2.25) | 13.09 (2.31) | 0.17 (–0.27, 0.61) | 0.45 |
Mean (SD). | 15.68 (2.35) | 15.41 (1.97) | 0.27 (–0.14, 0.68) | 0.20 |
Number (%). | ||||
Used contraceptives | 117 (57.4%) | 149 (68%) | 0.02 | |
Did not use contraceptives | 87 (42.6%) | 70 (32%) | ||
Each participant may have more than one reason for not using contraception. CI = confidence interval. | ||||
Want more children | 66 (32.4%) | 96 (43.8%) | ||
No sexual intercourse | 63 (30.9%) | 42 (19.2%) | 0.08 | |
Religious reason | 23 (11.3%) | 23 (10.5%) | ||
Not accepted by the family | 11 (5.4%) | 11 (5%) | ||
Cannot access to contraceptive services | 5 (2.5%) | 3 (1.4%) |
Variables correlated with the knowledge scores from univariate and multivariate logistic regression analysis
Variables | Crude odds ratio (95% confidence interval) | Adjusted odds ratio (95% confidence interval) | ||
---|---|---|---|---|
Bangkok | 1.28 (0.87, 1.87) | 0.22 | ||
Southernmost provinces | 1 | |||
<35 | 1 | 0.14 | ||
≥35 | 1.75 (0.83, 3.68) | |||
Below Bachelor’s degree | 1 | 0.001 | 1 | 0.003 |
Equal/ higher than a Bachelor’s degree | 2.06 (1.39, 3.05) | 1.84 (1.23, 2.78) | ||
<5,000 | 1 | 0.02 | 1 | 0.19 |
5,000-20,000 | 1.79 (1.09, 2.94) | 1.51 (0.91, 2.52) | ||
>20,000 | 2.50 (1.25, 5.00) | 1.83 (0.88, 3.80) | ||
Single | 1 | 0.06 | ||
Married | 1.60 (1.08, 2.37) | |||
Undisclosed | 1.55(0.38, 6.53) | |||
0 | 1 | 0.25 | ||
1 | 1.08 (0.66, 1.77) | |||
2 | 1.73 (0.99, 3.02) | |||
3 | 1.59 (0.79, 3.22) | |||
≥4 | 1.01 (0.42, 2.45) |
Variables correlated with the attitude score from univariate and multivariate logistic regression analysis A mean score of 13 was used as the cut-off level to differentiate between high (>13) and poor (≤13) knowledge CI = confidence interval
Variables | Crude odd ratio (95%CI) | Adjusted odd ratio (95%CI) | ||
---|---|---|---|---|
Bangkok | 1.09 (0.73, 1.63) | 0.68 | ||
Southernmost provinces | 1 | |||
<35 | 1 | 0.04 | 1 | 0.05 |
>35 | 2.14 (1.06, 4.33) | 2.01 (0.99, 4.10) | ||
Below Bachelor’s degree | 1 | 0.78 | ||
Equal/ higher than a Bachelor’s degree | 1.06 (0.70, 1.59) | |||
<5,000 | 1 | 0.70 | ||
5,000-20,000 | 1.04 (0.64, 1.71) | |||
>20,000 | 1.35 (0.65, 2.82) | |||
Single | 1 | 0.70 | ||
Married | 1.19 (0.78, 1.79) | |||
Undisclosed | 0.89 (0.21, 3.84) | |||
0 | 1 | 0.29 | ||
1 | 0.91 (0.55, 1.52) | |||
2 | 1.74 (0.94, 3.21) | |||
3 | 1.13 (0.54, 2.38) | |||
>4 | 0.97 (0.40, 2.39) | |||
1-4 times | 1 | 0.64 | ||
5 times | 1.03 (0.66, 1.63) | |||
Others | 0.67 (0.26, 1.71) | |||
Sunni | 1 | 0.81 | ||
Shia | 0.98 (0.33, 2.92) | |||
Others | 0.81 (0.44, 1.52) | |||
<7 | 1 | 0.77 | ||
7-13 | 0.96 (0.20, 4.72) | |||
14-20 | 0.62 (0.15, 2.52) | |||
21-27 | 0.68 (0.17, 2.70) | |||
28+ | 0.82 (0.21, 3.21) | |||
Alms tax (zakat) | ||||
Ever in the past year | 1 | 0.28 | ||
Never in the past year | 0.62 (0.26, 1.48) | |||
Pilgrimage to mecca (hajj) | ||||
Ever in the past year | 1 | 0.73 | ||
Never in the past year | 1.21 (0.42, 3.50) | |||
≤1 3 | 1 | 0.005 | 1 | 0.007 |
>13 | 1.82 (1.20, 2.77) | 1.78 (1.17, 2.71) |
Variables correlated with contraceptive use from univariate and multivariate logistic regression analysis
Variables | Crude odd ratio (95%CI) | Adjusted odd ratio (95%CI) | ||
---|---|---|---|---|
Bangkok | 1.58 (1.06, 2.35) | 0.02 | 1.78 (0.98, 3.22) | 0.05 |
Southernmost provinces | 1 | 1 | ||
<35 | 1 | 0.05 | ||
>35 | 0.49 (0.24, 1.00) | |||
Below Bachelor degree | 1 | 0.61 | ||
Equal/higher than a Bachelor degree | 1.11 (0.75, 1.65) | |||
<5,000 | 1 | 0.001 | 1 | 0.02 |
5,000-20,000 | 0.37 (0.23, 0.60) | 0.45 (0.25, 0.79) | ||
>20,000 | 0.41 (0.21, 0.83) | 0.67 (0.29, 1.54) | ||
Single | 1 | 0.001 | 1 | 0.59 |
Married | 0.39 (0.25, 0.59) | 0.81 (0.49, 1.35) | ||
Undisclosed | 0.69 (0.16, 2.95) | 0.56 (0.11, 2.88) | ||
0 | 1 | 0.001 | 1 | 0.001 |
1 | 0.13 (0.08, 0.23) | 0.17 (0.09, 0.30) | ||
2 | 0.09 (0.05, 0.17) | 0.09 (0.05, 0.20) | ||
3 | 0.11 (0.05, 0.25) | 0.12 (0.05, 0.29) | ||
>4 | 0.09 (0.03, 0.26) | 0.10 (0.03, 0.32) | ||
1-4 times | 1 | 0.02 | 1 | 0.42 |
5 times | 0.60 (0.39, 0.93) | 1.03 (0.52, 2.05) | ||
Others | 0.27 (0.09, 0.85) | 0.42 (0.11, 1.64) | ||
Sunni | 1 | 0.18 | ||
Shia | 2.59 (0.90, 7.44) | |||
Others | 0.86 (0.46, 1.63) | |||
<7 | 1 | 0.02 | 1 | 0.52 |
7-13 | 1.42 (0.24, 8.48) | 0.89 (0.13, 6.18) | ||
14-20 | 5.01 (1.01, 24.80) | 1.89 (0.33, 10.74) | ||
21-27 | 2.68 (0.55, 12.95) | 1.41 (0.25, 8.11) | ||
28+ | 2.30 (0.48, 10.96) | 1.91 (0.35, 11.23) | ||
Alms tax (zakat) | ||||
Ever in the past year | 1 | 0.02 | 1 | 0.21 |
Never in the past year | 2.57 (1.19, 5.54) | 1.82 (0.71,4.70) | ||
Pilgrimage to mecca (hajj) | ||||
Ever in the past year | 1 | 0.39 | ||
Never in the past year | 1.53 (0.58, 4.06) | |||
A mean score of 13 was used as the cut-off level to differentiate between high (>13) and poor (≤13) knowledge | ||||
<13 | 1 | 0.57 | ||
>13 | 0.89 (0.60, 1.33) | |||
A mean score of 15 was used as the cut-off level to differentiate between positive (>15) and negative (≤15) attitudes toward contraception | ||||
<15 | 1 | 0.10 | ||
>15 | 0.71 (0.47, 1.07) |
The results of the present study show that knowledge and attitude scores between Thai Muslim participants living in Bangkok and those living in the southernmost provinces are comparable. However, a higher proportion of participants who lived in the southernmost provinces used contraceptives. When a multivariate regression model was used to adjust for other variables, the women’s geographical residence was not associated with higher knowledge and attitude scores, or contraceptive practices. This finding is by contrast with the results of the Thailand 2009 Reproductive Health Survey, which showed that contraceptive practice was lowest among women in the southern part of Thailand [1]. The discrepancy may be the result of the different study population used. Muslim women participated in the present study whereas the previous survey included all reproductive aged women from all religions including Buddhists. The discrepancy may be a consequence of the areas sampled, because most of the participants from the southernmost provinces were acquired from urban areas.
The present study also demonstrated that higher education and higher income were independent factors associated with knowledge of contraceptives. A higher educational level may help women understand health-related issues better than those with a lower educational level, while a higher income may provide the women with more opportunities to access health information [11]. Similarly, a community-based cross-sectional KAP study conducted in a predominantly Muslim community of rural Kashmir found that educational level and female literacy were associated with awareness of contraception [12]. Another KAP study conducted in a predominantly (88%) Muslim region (Kashmir) found that women with good knowledge had positive attitude towards contraception [13]. Similarly, the present study found that a high knowledge score was independently associated with a positive attitude towards contraception. It is possible that the questions regarding contraception and its impact on women’s health used in this study may have contributed to this finding. However, neither high knowledge nor high attitude scores in this study were significantly associated with contraceptive practices. The variables independently associated with contraceptive practices were fewer children and lower income level. This is consistent with the hypothesis that women with lower income will want to restrict the number of children they have in their family to maintain and sustain a good quality of life, thus having to use contraception. Economic constraints and perception of a small family may improve awareness of contraception [13].
By contrast, being Muslim was not associated with KAP of contraception. However, the authors noticed that the religious beliefs and practices between those who lived in Bangkok and the southernmost provinces were slightly different. For example, most of the participants from the southernmost border provinces could achieve the ritual prayer (salat) whereas those from Bangkok could not. This may indicate different lifestyles of the women, which may impact their religious practices, but not KAP of contraception.
Other factors that may affect KAP of contraception were considered, such as future plans for having children. This factor was included in the multivariate model to limit the effects of the confounding factors. Thus, one of the limitations of this study is that not all of the confounding factors may have been eliminated during the analysis. Another limitation of the study is its cross-sectional design. Cause and effect cannot be ascertained by this type of design.
A strength of this study was its high response rate. The success of the study was a result of the careful planning of the data collection. For example, questions pertaining to the women’s rituals and practices are very sensitive and difficult to assess. To overcome this barrier, self-administered questionnaires were used and confidentiality was emphasized during the collection of the data. Moreover, women may not be as forthcoming when approached by strangers so the study used only female research assistants who worked in the regions and were familiar with the participants. To our knowledge, this study is the first in Thailand to report KAP of contraception by Thai Muslim women from the southernmost border provinces.
Among Thai Muslim women, geographical location of residence was not significantly associated with knowledge, attitudes, and contraceptive practices. However, this present study revealed that college-level education and higher income level were independently associated with contraceptive knowledge. Favorable attitude was independently associated with higher contraceptive knowledge, whereas fewer children and lower income level were independently associated with contraceptive practices.