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. 2021 Aug 11;10:790. [Version 1] doi: 10.12688/f1000research.55204.1

Prevalence and determinants of contraception use in Pakistan: trend analysis from the Pakistan Demographic and Health Surveys (PDHS) dataset from 1990 to 2018

Salima Meherali 1,a, Anna Ali 2, Asif Khaliq 3, Zohra S Lassi 2
PMCID: PMC8411274  PMID: 34527219

Abstract

Background: In developing countries, pregnancy and childbirth are the leading causes of death among women. In this context, family planning and access to contraceptives are crucial for reducing pregnancy-related morbidity and mortality. Therefore, we aimed to look into the trends of contraception and determinants of contraceptive use in Pakistan.

Methods: This study used data for women of reproductive age from four Pakistan Demographic and Health Surveys datasets. Contraception was the outcome variable, whereas, women’s and partner’s education, occupation, wealth quintile, region, place of residence, and exposure to family planning messages were the explanatory variables. Pooled prevalence was estimated using SUMARI and regression analysis was undertaken using SPSS to produce an adjusted prevalence ratio with 95% confidence intervals.

Results: Data of 40,259 ever-married women of reproductive age (EMWRA) was analysed. Of the total EMWRA, 30% were using contraception. Of these, 26% were using traditional methods and 74% were using modern methods. The most common method of contraception was condoms (30.5%). The pooled prevalence of contraception used was 29.5% (95% CI 29.1 to 30.0). Through multivariate analysis, women's age, place of residence, region, wealth index, women’s education, their working status, and exposure to family planning messages were found to be significant determinants of contraception usage.

Conclusions: There is a noticeable gap regarding awareness and uptake of contraception leading to low contraceptive use among women in Pakistan. In the light of our results, it is important to highlight the importance of girl’s education for building awareness and empowerment.

Keywords: Pakistan, contraception, demographic and health survey

Introduction

Pregnancy and childbirth are the leading causes of death among girls and women aged 15 to 49 years in many low and middle-income countries (LMICs) ( World Health Organization [WHO], 2017). In this context, family planning and access to contraceptives are crucial for reducing pregnancy-related morbidity and mortality, improving the health outcomes of young girls and women and their children, and reducing the related social and economic costs of early pregnancy ( Chandra-Mouli et al., 2017). Although significant progress has been made in improving coverage of family planning services worldwide ( Cahill et al., 2018; MacQuarrie, 2014) there is still a large gap in relation to effectively meeting the contraceptive needs and family planning goals in LMICs ( Chandra-Mouli et al., 2017; MacQuarrie, 2014; Dennis et al., 2017; Ewerling et al., 2018).

Pakistan is an LMIC situated in the South Asian region and shares the highest population growth rate i.e. 2% per year in South Asia (The World Bank, 2019). Progress towards accomplishing the United Nations’ Sustainable Development Goals (SDG) to increase the contraceptive prevalence rate (CPR) to 55% by 2015 remained unachievable for Pakistan. One of the pivotal reasons for the high population growth rate of Pakistan is the unmet need for family planning ( Nyoni, 2018). The government of Pakistan and private health sectors have been continuously struggling to bring down population growth by improving the availability of family planning services. Although progress has been made to reduce the fertility rate from seven children per woman in 1970 ( Shah et al., 1986) to 3.6 children per woman in 2020, the acceptability and use of contraceptives in the country are low (A. Mahmood & Sultan, 2006). According to the World Bank report (2015), the average CPR in South Asian countries is 53%, and Pakistan has the lowest rate of 35%. Many potential barriers exist to contraceptive use among women of reproductive age (WRA) in Pakistan such as the social, cultural, and perceived religious unacceptability of contraception, lack of knowledge and awareness of contraception, cost of contraceptives, and access to contraceptive services ( Asif and Pervaiz, 2019; Memon & Jonker, 2018; N.Z. Shah et al., 2020; Dasgupta et al., 2019).

Low CPR increases the risk of unplanned pregnancies, teenage pregnancies, abortions, and thereby resulting in poor maternal and child health outcomes ( Wulifan et al., 2017). Moreover, the low CPR also produces a drastic effect on the economy of a nation. Currently, Pakistan is facing issues related to inflation, poverty, unemployment, and other related economic crises ( Nyoni, 2018). Under such conditions, it is essential to know about the trends and determinants of CPR in Pakistan from the nationally available datasets. Knowing the trends and determinants of contraceptive prevalence among WRA will aid in understanding and planning appropriate interventions and policies for the promotion of contraceptive use. This in turn helps the nation to control the population outgrowth and other economic issues.

The objectives of this study were:

  • To determine the prevalence of contraception among WRA in Pakistan

  • To identify the factors leading to low CPR among WRA in Pakistan

Methods

Datasets from the Pakistan Demographic and Health Surveys (PDHS) were used in this study (NIPS, 2019). These surveys include information on the health, demographic and socioeconomic characteristics of the representative sample of Pakistan. From 1990 until 2018 Pakistan has implemented four Demographic and Health Surveys (DHS) under the AEGIS of the National Institute of Population Studies (NIPS) and Pakistan Bureau of Statistics (PBS) ( National Institute of Population Studies, 1992). For the current study, we have used secondary data of all the DHS conducted in Pakistan regarding the use of contraception by ever-married women of reproductive age (EMWRA) aged between 15 to 49 years.

A multistage stratified cluster systematic sampling technique was used in these surveys. After stratification of all provinces on the urban and rural population, Enumeration Blocks (EB) (the cluster of 200 to 250 households (HH)) were selected followed by random selection of 20-30 HH from each EB. The total number of EMWRA was 40,259; 6,611 in 1990-91 PDHS; 9,177 in 2006-07 PDHS; 11,763 in 2012-13 PDHS; and 12,708 in 2017-18 PDHS.

The outcome variable of this study was the use of contraception both modern (such as a pill, intrauterine device, injection, condom, female sterilization, implant) and traditional (such as withdrawal, and lactation) methods. Use of contraception was defined by using the information of current methods of contraception used by study participants at the time of the interview. Women using any modern or traditional methods of contraception were grouped. The information regarding the use of contraception was collected verbally by the interviewers in the PDHS. Information on types and methods of contraception were also collected verbally and this information is included in the analyses. Data on the decision of using contraception were available for two years only 2012-13 and 2017-18 and data regarding the decision of not using contraception were available for the year 2017-18 only. Respondent’s age was available in seven categories which were merged into four categories as 15-24, 25-34, 35-44, and 45 and above. Respondent’s and partner’s education were coded into four categories: no education, primary, secondary, and higher. Both respondent’s and their partner’s occupations were coded as: not working, professional, services/sales, agricultural, skilled, and unskilled. To avoid a small cell count, occupation categories for respondents were merged into working and not working; while for their partner was merged into: not working, unskilled, skilled, and professional categories for the partner. The place of residence was coded as urban or rural; the region was coded into Punjab, Sindh, Khyber Pakhtunkhwa (KPK), Baluchistan, and Islamabad Capital Territory (ICT). Wealth index was constructed using principal component analysis on assets-ownership including land and livestock with a range of socio-economic factors including income, type of flooring, availability of electricity, radio, television, telephone and refrigerator, type of vehicle, persons sleeping per room, household construction, utilities, source of drinking water and sanitation facilities, ownership of agricultural land, domestic servants. and categorized as five wealth quintiles: poorest, poorer, middle, richer, and richest; and exposure to family planning messages via radio, TV, and newspaper were merged and categorised as yes and no to avoid small cell counts.

All analysis was done in SPSS version 26 (Jiang & Hardee, 2014) and pooled prevalence was estimated from Joanna Briggs Institute’s SUMARI ( Babalola, 2014). Frequency and percentage of categorical variables and mean with standard deviation (SD) of continuous variables were reported. The use of contraception was defined by using the information of current methods used by study participants. Women using any method (traditional or modern) of contraception were grouped. The rate of contraception usage was determined for each year (1990-91, 2007-08, 2012-13, and 2017-18) separately, and later pooled prevalence was estimated. Prevalence ratios were estimated for socio-demographics, media exposure, and use of contraception using cox regression. All variables with borderline statistical significance (p < 0.25) were considered as potential confounding variables. The determinant of contraception usage is reported as prevalence ratio (PR) with a 95% confidence interval (CI). Multivariable regression models were used to produce covariate-adjusted PR (APR) and 95% CIs. R is an open access software that could also be used for performing this analysis.

Results

Data of 40,259 EMWRA was analysed. In total, 29.4% were in the age group 25-29 years and 23.4% were between 30-34 years. More than half (57.4%) were from rural areas of Pakistan and around one-third were from Punjab and Sindh (29.8% and 22.8%), respectively. Around half of the women (44.7%) were from the poorest and poor wealth quantile. More than half were not educated (60.7%) and 80.8% were not working. With respect to their partner, almost one-third (33.6%) were not educated, and almost (97%) all were working in some capacity. Of all the women, a quarter heard about family planning on the TV (25.3%), and a small percentage on the radio (7.6%) and newspaper (3.7%) ( Table 1).

Table 1. Sociodemographic characteristics of women with respect to contraception usage from 1990-2018.

Socio-demographic characteristics Total women
N = 40259 (%)
Using contraception
n = 12078 (%)
Not using contraception
n = 28181 (%)
P value
Age
15-19 1084(3.5) 172(1.8) 912(4.2) <0.001
20-24 5941(19.1) 1462(15.3) 4479(20.8)
25-29 9172(29.4) 2844(29.7) 6328(29.3)
30-34 7294(23.4) 2647(27.6) 4647(21.5)
35-39 4666(15.0) 1652(17.2) 3014(14.0)
40-44 1988(6.4) 600(6.3) 1388(6.4)
45-49 1000(3.2) 201(2.1) 799(3.7)
Place of residence
Urban 17057(42.6) 6424(53.2) 10633(38.0) <0.001
Rural 23019(57.4) 5652(46.8) 17367(62.0)
Regions
Punjab 11941(29.8) 4249(35.2) 2692(27.5) <0.001
Sindh 9130(22.8) 2363(19.6) 6767(24.2)
KPK 7779(19.4) 2276(18.8) 5503(19.7)
Baluchistan 5358(13.4) 907(7.5) 4451(15.9)
GB 2008(5.0) 737(6.1) 1271(4.5)
ICT 1519(3.8) 851(7.0) 668(2.4)
AJK 1320(3.3) 445(3.7) 875(3.1)
FATA 1021(2.5) 248(2.1) 773(2.8)
Wealth index *
Poorest 7801(23.2) 1323(11.8) 6478(28.9) <0.001
Poorer 7249(21.5) 1908(17.0) 5341(23.8)
Middle 6632(19.7) 2355(21.0) 4277(19.1)
Richer 6079(18.1) 2646(23.6) 3433(15.3)
Richest 5887(17.5) 2987(26.6) 2900(12.9)
Education
No education 24338(60.7) 5378(44.5) 18960(67.7) <0.001
Primary 5288(13.2) 1921(15.9) 3367(12.0)
Secondary 6718(16.8) 2824(23.4) 3894(13.9)
Higher 3732(9.3) 1953(16.2) 1779(6.4)
Partner's education
No education 13389(33.6) 2909(24.2) 10480(37.8) <0.001
Primary 6039(15.2) 1700(14.1) 4339(15.6)
Secondary 13227(33.2) 4340(36.1) 8887(32.0)
Higher 7136(17.9) 3081(25.6) 4055(14.6)
Partner's occupation
Not working 1197(3.0) 334(2.8) 863(3.1) <0.001
Professional 4520(11.4) 1783(14.8) 2737(9.9)
Skilled 24416(61.6) 7268(60.5) 17148(62.1)
Unskilled 9506(24.0) 2628(21.9) 6878(24.9)
Occupation
Not working 32384(80.8) 9859(81.7) 22525(80.5) 0.004
Working 7677(19.2) 2209(18.3) 5468(19.5)
Heard family planning on Radio
Yes 3047(7.6) 893(7.4) 2154(7.7) 0.307
No 36992(92.4) 11168(92.6) 25824(92.3)
Heard family planning on Television
Yes 8494(25.3) 3701(33.0) 4793(21.4) <0.001
No 25127(74.7) 7505(67.0) 17622(78.6)
Heard family planning on Newspaper **
Yes 895(3.1) 467(5.4) 428(2.7) <0.001
No 23549(96.3) 8201(94.6) 15348(97.3)
Year of data collection
1990-91 6611(16.4) 859(7.1) 5752(20.4) <0.001
2007-08 9177(22.8) 2538(21.0) 6639(23.6)
2012-13 11763(29.2) 4287(35.5) 7476(26.5)
2017-18 12708(31.6) 4394(36.4) 8314(29.5)
*

Data not available for the year 1990-91.

**

Data not available for 1990-91 and 2007-08.

Acronyms: AJK: Azad Jammu Kashmir; FATA: Federally administered Tribal Areas; GB: Gilgit Baltistan; ICT: Islamabad Capital Territory; KPK: Khyber Pakhtunkhwa.

Of the total 12,078 women who were using contraception, more than half were of age 25-34 and were from urban areas of Pakistan (53.2%). Around one-third of the province of Punjab (35.2%) followed by Sindh (19.6%) and Baluchistan (18.8%) and half of them were from richer and richest wealth quintile (50.2%) ( Table 1).

Of the total EMWRA, 30% were using contraception. Of these, 26% were using traditional methods and 74% were using modern methods. With respect to the individual methods, the most common method of contraception was condom (30.5%) followed by withdrawal (20.4%), female sterilization (12.0%), injections (12.1%), pills (8.0%), intrauterine device (IUD) (7.5%), periodic abstinence (5.1%), lactation amenorrhea (2.8%), Norplant (0.9%) and other methods (0.7%) ( Figure 1). With respect to the decision-making for using or not using contraception, most of them reported that it is the joint decision (86.0% vs 62.2%, respectively). However, when it is one-sided, the husband decides not to use contraception (22.9%) ( Figure 2).

Figure 1. Percentage of users by type of method used at the time of the survey, 1990-2018.

Figure 1.

Figure 2. Percentage of husband or wife jointly making the decision to use or not to use contraception, 2012-2018.*.

Figure 2.

*Data on the decision of using contraception were available for two years only 2012-13 and 2017-18 and data regarding the decision of not using contraception were available for the year 2017-18 only.

The rate of contraception use was 13.0% (95% CI 12.2 to 13.8) in 1990-91 and since then the rates increased to 27.7% (95% CI 26.7 to 28.6) in 2006-07, 36.4% (95% CI 35.6 to 37.3) in 2012-13, and slightly declined to 34.6% (95% CI 33.8 to 35.5) in 2017-18. The overall pooled prevalence of contraception used was determined as 29.5% (95% CI 29.1 to 30.0) ( Figure 3).

Figure 3. Rates of contraception usage among women of reproductive age group from 1990-2018.

Figure 3.

Through multivariate analysis, it was found that women's age, place of residence, region, wealth index, education, working status, and exposure to family planning messages were significant determinants of contraception usage. The APR was significantly higher among women who were aged 45 years and above (APR 1.59; 95% CI 1.32 to 1.91) followed by women aged 35-44 years (APR 1.47; 95% CI 1.37 to 1.58) and women aged 25-34 years (APR 1.26; 95% CI 1.19-1.33) compared to women aged 15-24 years. The APR was significantly higher among women who were from urban areas (APR 1.08; 95% CI 1.02 to 1.13) compared to those who were living in rural areas. However, the APR was significantly lower among women who were from the province of Sindh (APR 0.83; 95% CI 0.72 to 0.86), KPK (APR 0.78; 95% CI 0.71 to 0.84), and Baluchistan (APR 0.58; 95% CI 0.52 to 0.65) compared to those living in ICT. The APR of contraception usage was significantly higher among women who were from the richest quantile (APR 2.10; 95% CI 1.91 to 2.32) followed by richer quantile (APR 2.02; 95% CI 1.85 to 2.21), middle quantile (APR 1.77; 95% CI 1.63 to 1.92) and poorer quantile (APR 1.43; 95% CI 1.32 to 1.55) compared to women who were from poorest quantile. The APR was higher for women who were highly educated (APR 1.08; 95% CI 1.00 to 1.16) and (APR 1.13; 95% CI 1.07 to 1.19) for those who had primary or secondary education compared to women who were not educated. With respect to women's occupation, APR was significantly higher among women who were working (APR 1.22; 95% CI 1.16 to 1.30) compared to not working women. Lastly, women who had exposure to family planning messages had significantly higher APR of contraception usage (APR 1.21; 95% CI 1.15 to 1.27) ( Table 2).

Table 2. Social determinants of women with respect to contraception usage.

Determinants PR 95% CI APR 95% CI
Age
15-24 Ref
25-34 1.36 1.29-1.44 1.26 1.19-1.33
35-44 1.60 1.50-1.70 1.47 1.37-1.58
45 and above 1.70 1.47-1.97 1.59 1.32-1.91
Place of residence
Rural Ref
Urban 1.50 1.45-1.56 1.08 1.02-1.13
Regions
Punjab 1.15 1.07-1.24 1.01 0.93-1.09
Sindh 0.81 0.78-0.87 0.83 0.72-0.86
KPK 0.68 0.63-0.73 0.78 0.71-0.84
Baluchistan 0.47 0.43-0.51 0.58 0.52-0.65
ICT Ref
Wealth index
Poorest Ref
Poorer 1.50 1.40-1.61 1.43 1.32-1.55
Middle 2.08 1.95-2.23 1.77 1.63-1.92
Richer 2.58 2.42-2.76 2.02 1.85-2.21
Richest 2.98 2.80-3.18 2.10 1.91-2.32
Education
No education Ref
Primary/secondary 1.45 1.40-1.51 1.13 1.07-1.19
Higher 1.56 1.48-1.64 1.08 1.00-1.16
Occupation
Not Working Ref
Working 1.13 1.08-1.19 1.22 1.16-1.30
Partner’s education
No education Ref
Primary/secondary 1.25 1.20-1.31
Higher 1.46 1.39-1.53
Partner’s occupation
Not working Ref
Unskilled 1.08 0.96-1.21
Skilled 1.28 1.14-1.43
Professional 1.33 1.18-1.50
Heard family planning on social/mass media
No Ref
Yes 1.86 1.79-1.93 1.21 1.15-1.27

Acronyms: ICT: Islamabad Capital Territory; KPK: Khyber Pakhtunkhwa.

Discussion

Family planning and planned pregnancies are crucial to the health and development of a child as well as their mothers, thereby reducing maternal and child mortality, and rates of unsafe abortions. Besides health benefits, family planning offers a range of non-health benefits that entails women empowerment, sustainable population growth, and economic development of the country. Despite major family planning initiatives by the government in Pakistan and being one of the first countries in South Asia to start a national family-planning programme ( Fikree et al., 2001), the total fertility rate remains high with relatively low contraception usage ( Shah et al., 2020; Cham et al., 2005).

The results of the study highlight the key contextual factors that are associated with the high prevalence of contraceptive use among EMWRA. Some of the factors that increase the likelihood of contraceptive use include the education level of mothers, their employment status, exposure to family planning messages, and overall socio-economic status. Firstly, our multivariate analysis reveals that the use of contraception was significantly higher among educated women and those who belonged to the working class.

These findings mirror the results from other studies where mainly the completion of primary and secondary school education of women was strongly correlated to lower desire for fertility (Jiang & Hardee, 2014), the greater number of antenatal visits ( Babalola, 2014), higher use of contraception and the higher probability of using family planning practices (Jiang & Hardee, 2014). Similarly, studies from India and Bangladesh show that consultation with doctors particularly about family planning was more common among working women than the unemployed ones (Jiang & Hardee, 2014; Islam et al., 2016). This could be attributed to the impact of education which leads to women empowerment through employment that further influences their health-seeking behaviour ( Jamali et al., 2018). Another explanation could be the improved decision-making ability among educated women that leads to improved insight about health problems, resulting in enhanced health-seeking behaviour ( Jamali et al., 2018). Furthermore, formal education exposes women to the outside world, generates awareness, and empowers them to make independent choices about family making ( United Nations Educational, Scientific and Cultural Organization [UNESCO], 2014). In contrast, illiteracy greatly reduces the modes of communication available to reach women, prohibits access to a world of ideas, and allows them access to information only through their husbands and other relatives ( León et al., 2014), hence influencing their freedom for using contraceptive methods.

Secondly, it was noted that the use of contraceptive or family planning methods was highly prevalent among women who heard about family planning on the TV or greatly aware of it. The most common sources of information that remained vital in promoting contraceptive usage, as highlighted in previous studies include TV, radio, printed material, and health facilities ( Qazi et al., 2010). Particularly, media due to its enhanced access and availability provides more opportunities for women to communicate with their friends and relatives for information regarding contraception, hence educating the community through media will increase the contraception practice rate ( Jaffery et al., 2019).

Thirdly, the use of contraception was reported to be higher among women living in urban areas of Pakistan. The average distance to a reproductive health facility in rural areas is larger than that to urban areas, hence access to family health services is difficult for rural women, especially without transportation or funds ( Mustafa et al., 2015). On the other hand, in urban areas, the proximity to health facilities and more reproductive and family planning services increases the odds of receiving more information related to family planning methods which reflects more usage of contraceptives ( Qazi et al., 2010).

Furthermore, the prevalence of contraception use was noted to be higher among older age women as compared to women aged between 15 to 24 years. This could be linked with the number of births per woman that influences their decisions regarding contraceptive usage. In one study conducted in Pakistan, women having three or more children were more inclined to using family planning methods compared to those who had two or fewer children ( Qazi et al., 2010). In addition, women’s independence, choice, and decision-making capacity increase with their increased age that may be attributed to the cultural norm whereby a newly married woman is expected to perform household chores under the supervision of her husband or mother-in-law, who is the primary decision-maker ( Hameed et al., 2014). Hence, such cultural factors combined with the impact of childbearing age and the high risk of mortality associated with pregnancies can potentially lead to early parenthood, unintended pregnancies among teenagers, and greater maternal and child mortality ( Patton et al., 2009; Nishtar et al., 2013).

Lastly, our findings show that using family planning methods is a conjoint decision that is strongly related to the communication between the spouses, however, disapproval for its usage mainly relies on the decision of husbands which impacts the practice of contraception among couples. Previous literature on Pakistan also underlines the role of the husband as an obstacle to family planning use by their wives ( National Institute of Population Studies, 1992; N. Mahmood & Ringheim, 1996; Agha, 2010). Such a situation might arise due to the patriarchal and patrilocal family structure in Pakistan where marriages are mostly contracted between relatives’ families and women exercise less autonomy in the extended households (N. Mahmood & Ringheim, 1996). Whereas, a man is considered the prime decision-maker and holds the financial power to implement their decisions. Therefore, generating awareness and clarifying misconceptions about family planning among men can significantly improve the use of contraception among couples. Similarly, accessibility of services and information on male methods can potentially enhance its usage, because many women, especially in rural areas, have limited mobility; and require money and permission from the husband to leave the household for traveling alone to a clinic or service outlet ( Kiani, 2003).

Despite national representation of study findings, the cross-sectional nature of the study caused biases related to the respondents. Moreover, the question asked related to the contraceptive prevalence were not timebound and due to this reason, there can be some recall biases. Moreover, some variables were available from a certain time period for example wealth index was not available for the year 1990-91. Information on hearing family planning information from the newspaper was not collected in the year 1990-91 and 2007-08. Likewise, information on the decision of using contraception was available for two years and information on the decision of not using contraception was available for one year only. The secondary nature of the data also limits the assessment of certain factors, such as the influence of family members, family structure, socio-cultural norms, and beliefs relate to the use of contraceptives. Further studies are needed which could explore the socio-cultural beliefs and the reasons for the low contraceptive prevalence rate among the women of Pakistan.

Conclusion

The PDHS data analysis demonstrates that there is a noticeable gap regarding awareness and uptake of contraception leading to low contraceptive use among women in Pakistan. This study has identified some important determinants that significantly impact the use of contraceptives among EMWRA in Pakistan. Contraceptive use is significantly influenced by women's age, education, place of residence, region, wealth index, educational and working status of women, and exposure to family planning information on social/mass media. In the light of our results, it is important to highlight the importance of girl’s education for building awareness and empowerment for contraception through media, particularly social media.

Data availability

Data used in this study are from the individual recode data file of the Paskitan 2019 Demographic and Health Survey, available from the Demographic and Health Survey (DHS) website. Access to the dataset requires registration and is granted only for legitimate research purposes. A guide for how to apply for dataset access is available at: https://dhsprogram.com/data/Access-Instructions.cfm.

Acknowledgements

The authors would like to acknowledge the DHS program for providing access to the datasets.

Funding Statement

The author(s) declared that no grants were involved in supporting this work.

[version 1; peer review: 2 approved]

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F1000Res. 2021 Sep 1. doi: 10.5256/f1000research.58761.r91662

Reviewer response for version 1

Nida Zahid 1

'In developing countries, pregnancy and childbirth are the leading causes of death among women. In this context, family planning and access to contraceptives are crucial for reducing pregnancy-related morbidity and mortality. The study aims to look into the trends of contraception and determinants of contraceptive use in Pakistan. The source of data is PDHS. The outcome variable is Contraception. The methodology of the study is robust and is described nicely by the authors. The statistical techniques applied by the authors are appropriate. The graphs nicely depict the results of the study

Statistical analysis :

  • Please mention the inferential tests that were used for assessing the association of categorical variables such as the chi-square/ Fisher exact test.

  • Since the authors have mentioned that SPSS was used to analyze data, please remove the R software   

Results:

  • Table1: Please recheck the p-value of work status.

  • Please give a footnote and mention the significant variables and the test that was applied.

  • It would be better to report the trend from 1990 to 2018  as a line graph instead of a table.

  • Table 2: Please give footnotes indicating the significant variables and the test that was used

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Yes

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

Mental Health, Public Health, Oncology, Male Infertility

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2021 Aug 19. doi: 10.5256/f1000research.58761.r91664

Reviewer response for version 1

Adeel Khoja 1,2

Overall, a very nicely written manuscript capturing and highlighting data on contraceptive use among the Pakistani population. I guess this study fills a good research gap in regard to LMICs.

I personally feel, interviewing some women of reproductive age group from remote regions of Pakistan would have added some scientific rigour to this study and I foresee some sort of triangulation of results/findings from qualitative and quantitative study designs.

Regarding the use of the PDHS dataset, was it obtained as a clean version, or do the authors have to undertake the cleaning and editing of the dataset, kindly mention this in the method section and also if relevant permissions were obtained for using the PDHS dataset from the relevant authorities.

Were the seven categories of age mered into four categories based on the distribution of the data, kindly explain

Please remove the last line from the method section regarding R software. It is not needed.

I would encourage the authors to draw line graphs to show the trends of contraceptive use (which is increasing) with time (years) on x-ais.

The wealth index was divided into five categories, can the authors please state the reason why it was divided into five, have the authors used any resource or literature backing to support these categories

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Yes

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

Women and Children Health, mobile Health, electronic Health, e-Learning, Cardiology, Stroke, Non-Communicable Diseases

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2021 Aug 19.
Zohra Lassi 1

Overall, a very nicely written manuscript capturing and highlighting data on contraceptive use among the Pakistani population. I guess this study fills a good research gap in regard to LMICs.

Author's comment: Thank you. 

I personally feel, interviewing some women of reproductive age group from remote regions of Pakistan would have added some scientific rigour to this study and I foresee some sort of triangulation of results/findings from qualitative and quantitative study designs.

Author's comment: This is a secondary analysis of the PDHS dataset and it involved no interaction or actual data collection in the field. 

Regarding the use of the PDHS dataset, was it obtained as a clean version, or do the authors have to undertake the cleaning and editing of the dataset, kindly mention this in the method section and also if relevant permissions were obtained for using the PDHS dataset from the relevant authorities.

Author's comment: It has been mentioned in the data availability section at the very end. 

Were the seven categories of age mered into four categories based on the distribution of the data, kindly explain

Author's comment: It was merged into 4 categories because of small cell counts for some of the categories. 

Please remove the last line from the method section regarding R software. It is not needed.

Author's comment: We were asked to mention this by the editor of the journal. 

I would encourage the authors to draw line graphs to show the trends of contraceptive use (which is increasing) with time (years) on x-ais.

Author's comment: We do not think this is required as we have indicated and reported in the meta-analysis figure 3. 

The wealth index was divided into five categories, can the authors please state the reason why it was divided into five, have the authors used any resource or literature backing to support these categories

Author's comment: This is how DHS generally categories wealth index and is uniform across all country that collects DHS data.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Availability Statement

    Data used in this study are from the individual recode data file of the Paskitan 2019 Demographic and Health Survey, available from the Demographic and Health Survey (DHS) website. Access to the dataset requires registration and is granted only for legitimate research purposes. A guide for how to apply for dataset access is available at: https://dhsprogram.com/data/Access-Instructions.cfm.


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