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Volume 45, Issue 11, November 2016

Contraceptive use at the time of unintended pregnancy: Findings from the Contraceptive Use, Pregnancy Intention and Decisions study

Jacqueline Coombe Melissa L Harris Britta Wigginton Deborah Loxton Jayne Lucke
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Background
Unintended pregnancy disproportionately affects young Australian women. However, contraceptive behaviours associated with unintended pregnancy are unclear.
Objective
The objective of this article was to examine contraceptive use before unintended conception.
Discussion
Most participants in this study considered their pregnancy to be accidental. The high rate of contraceptive use before becoming pregnant indicates the need to examine better ways to enhance the efficacy of contraceptive use among young Australian women.
Results
The study found that 21.1% of participants reported ever being pregnant, of whom 84.6% indicated ‘accidental’ pregnancy. Most (73.4%) of these participants reported using contraception at the first unintended pregnancy, with the combined oral contraceptive pill being the most frequently used form (39.1%). Participants who reported unintended pregnancy were older (21.2 years of age ± 1.7) than those who had never been pregnant (20.5 years of age ± 1.7). They were also more likely to be in cohabitating relationships (34.7% versus 26.0%) or engaged/married (20.1% versus 8.4%).

Estimates suggest that up to one-third of Australian women experience an unintended pregnancy in their lifetime,1 making it a significant public health issue.2 Unintended pregnancy is associated with serious social, psychological and physical consequences for women, children and families. For example, studies from the US and Europe suggest that unintended pregnancy is associated with a higher incidence of adverse birth outcomes, such as risk of congenital anomalies, spontaneous abortion, premature delivery and low birth weight.3 Importantly, unintended pregnancies are not always a consequence of sex without contraception. A recent US study found that almost half of the women who experienced an unintended pregnancy reported using contraception at the time.4

Recent international and Australian research has shown that young women (aged ≤25 years) are more likely than older women to experience an unintended pregnancy.5,6 An Australian study that used data from the Understanding Fertility Management in Australia National Survey suggests that 40.8% of women aged 18–32 years experienced an unintended pregnancy. This is compared with 27.6% of women aged 33–42 years and 22% of women aged 43–51 years who reported an unintended pregnancy.1 Although the research by Rowe et al1 suggests that contraceptive misuse or failure is an important contributor to unintended pregnancy, the specific methods used by each age group are not elucidated. While these findings highlight that unintended pregnancy disproportionately affects younger women, there are little Australian data that explain the sociodemographic and reproductive predictors, and contraceptive behaviours associated with unintended pregnancy among young women in particular. This information is essential to understand the scope of the issue, and facilitate an evidence-informed discussion about unintended pregnancy and contraceptive use in Australia.

This article reports data collected from the baseline survey of the Contraceptive Use, Pregnancy Intention and Decisions (CUPID) study of young Australian women aged 18–23 years. Our aims were to:

  • report on the rate of unintended pregnancy
  • identify demographic, and sexual and reproductive health factors of unintended pregnancy
  • examine combinations of contraceptive use at the time of first pregnancy for women who experienced an unintended pregnancy.

Method

Study overview

CUPID is a longitudinal cohort study of young women living in Australia that involved three mixed-method surveys distributed at six-monthly intervals. The recruitment process has been described in detail elsewhere.7 Briefly, it involved an innovative approach using various online, offline and networking methods. This study has been approved by the ethics committees of the University of Newcastle (approval number H-2011-0331), the University of Queensland (approval number 2011001055), Family Planning NSW (approval number R2011-05) and the Australian Government Department of Health (approval number 31/2013).

Sample

Data from the 3795 women who completed the baseline survey were analysed. Compared with the Australian Bureau of Statistics (ABS) census data, this cohort was found to be broadly demographically representative of young Australian women, with the exception of an over-representation of those with a tertiary education.7

Measures

Outcome variable

Unintended pregnancy was defined as responding ‘yes’ to a question about accidental pregnancy – ‘Have you ever become pregnant by accident?’.

Explanatory variables

Participants who reported an unintended pregnancy were asked to indicate which, if any, form of contraception they were using at the time of conception. A participant’s age at first sex and first pregnancy were reported in years; knowledge about contraception was rated on a six-point scale, ranging from ‘Excellent’ to ‘No knowledge’.

Sociodemographic variables included age (reported in years), highest educational attainment (‘high school’, ‘post-high school’), area of residence8 (‘major city’, ‘inner regional’, ‘outer regional/remote/very remote’), relationship status (‘single’, ‘partner [not living together]’, ‘cohabitating’, ‘engaged/married’) and employment status (‘working and studying’, ‘working only’, ‘studying only’, ‘not working or studying’). All sociodemographic variables were reported as at the time of completing the survey.

Statistical analyses

This analysis was conducted using baseline data only (ie the first of three mixed-method surveys). Descriptive statistics were used to:

  • report the rate of unintended pregnancy
  • examine contraceptive combinations at first pregnancy for participants who experienced an unintended pregnancy
  • describe demographic, and sexual and reproductive health characteristics of the sample compared with participants who had never been pregnant (using chi square for categorical variables and independent samples t-test for continuous variables).

Multinomial logistic regression was used to examine unique sociodemographic predictors of contraceptive use at the first unintended pregnancy for the top five contraceptive combinations. All analyses were conducted using Stata v.13 (StataCorp LP, College Station Texas). Statistical significance was set at P <0.05.

Results

Sample characteristics

Of the 3795 women who completed the CUPID survey, 3397 (89.5%) reported ever having had sex. Of the sexually active participants, 716 (21.1%) reported having previously been pregnant or were pregnant at the time of survey completion. Of these participants, 84.6% reported being pregnant by accident. The majority reported either one (n = 420) or two (n = 131) occurrences of unintended pregnancy, while a small proportion reported three or more (9.1%). Age at first pregnancy was 12–23 years. The demographic profile of participants who had experienced a previous unintended pregnancy, compared with those who reported never being pregnant, is shown in Table 1. Briefly, women who had ever had an unintended pregnancy were slightly older (21.2 years of age ± 1.7) than those who were never pregnant (20.5 years of age ± 1.7). They were also more likely to be from outer regional/remote/very remote communities (16.7% versus 10.1%); cohabitating (34.7% versus 26.0%); engaged/married (20.1% versus 8.4%); and not employed (41.6% versus 25.6%).

Table 1. Interview schedule: key topics and questions
 

Unintended pregnancy

(n = 606)

Never pregnant

(n = 2524)

P value

Age, years (mean [SD])

21.2 (1.7)

20.5 (1.7)

<0.001

Age at first sex, years [mean(SD)]

15.5 (1.6)

16.8 (1.8)

<0.001

Highest education qualification

     

High school (%)

53.1

53.9

0.702

Post high school (%)

46.9

46.1

 

Area of residence

     

Major city

58.8

 67.8

<0.001

Inner regional

24.3

21.9

 

Outer regional/remote/very remote

16.8

10.3

 

Relationship status

     

Single

20.6

23.2

<0.001

Partner (not living together)

24.3

42.2

 

Cohabitating

34.9

26.2

 

Engaged/married

20.3

8.4

 

Employment status

     

Working and studying

21.8

42.7

<0.001

Working only

36.6

31.7

 

Studying only

18.0

21.6

 

Not working or studying§

23.6

4.1

 

*As we were interested in the differences between women who reported an unintended pregnancy and those who had never been pregnant, women who reported intended pregnancy were excluded from this analysis.

Range of age at first sex: 7–21 years of age

Greatest contribution to the overall chi square

§All women not working or studying as a result of being a full-time mother or on maternity leave (n = 75) had experienced an unintended pregnancy.

Contraceptive use at first unintended pregnancy

For participants who experienced an unintended pregnancy, the majority (73.4%) reported using some form of contraception. As shown in Figure 1, the combined oral contraceptive pill, used either alone or with another method, was the most frequently used form of contraception (39.1%). This was followed by condoms (29.4%), no contraception (26.6%) and withdrawal (used exclusively or in combination with another method; 18.5%). Few participants reported using long-acting reversible contraception when they first became pregnant (implant/rod: 1.2%; injection/needle: 1%; Mirena intrauterine device [IUD]: 0.3%; copper IUD: 0.2%).

AFP 2016 11 Research Coombe

Figure 1. Specific forms of contraception used at first pregnancy for women aged 18–23 years in Australia reporting an unintended pregnancy
Participants were able to select multiple items, therefore numbers do not add to 100%.
IUD, intrauterine device

Furthermore, 31 distinct contraceptive combinations were reported. Of the participants who used contraception at the time of unintended pregnancy, 70% were using one form of contraception only. The identified contraceptive combinations (excluding emergency contraception) were then consolidated into eight major themes (Table 2). The most cited method used by the participants was the combined oral contraceptive pill (28.6%), followed by condoms (13.1%) and withdrawal (9.2%). The most common multiple contraceptive combination was the combined oral contraceptive pill with another non‑hormonal method (primarily condoms; 11.8%).

Table 2. Major combinations of contraceptive use at first pregnancy for women (n = 601) reporting an unintended pregnancy (excluding emergency contraception)

Contraceptive method

n

%

Oral contraceptive (combined and progestogen only)

172

28.6

None

161

26.8

Condoms

79

13.1

Withdrawal (only)

55

9.2

Oral contraceptive and other non-hormonal

71

11.8

Condoms and withdrawal

30

5.0

Long-acting reversible contraception

9

1.5

Other (includes natural family planning, long-acting reversible contraception with other method [hormonal and non-hormonal])

14

2.3

Missing

10

1.7

Sociodemographic predictors of contraceptive use before unintended pregnancy

The demographic, sexual and reproductive health, and health service predictors for the top five contraceptive combinations at unintended pregnancy (using no contraception as the reference) are shown in Table 3. In comparison with participants who did not use contraception, every unit increase in age (ie one year) at first sex was associated with a 27% increase in odds of using condoms at the time of unintended conception (odds ratio [OR]: 1.27; 95% confidence interval [CI]: 1.01–1.60; P: 0.041); and 50% increase in odds of using an oral contraception and a non-hormonal method combination (OR: 1.50; 95% CI: 1.18–1.91; P: 0.001). Meanwhile, every unit decrease in age (ie one year) at first pregnancy was associated with a 22% decrease in odds of using condoms (OR: 0.78; 95% CI: 0.66–0.93; P: 0.004); and an 18% decrease in odds of using an oral contraceptive and non-hormonal method combination (OR: 0.82; 95% CI: 0.69–0.98; P: 0.029) when compared with participants who did not use contraception. No other statistically significant differences were found for sociodemographics and method at unintended pregnancy.

Table 3. Association of demographic, sexual and reproductive health factors, and health service use of the top five contraceptive combinations used at unintended pregnancy among young Australian women using ‘no contraception’ as the reference (n = 538)
 

Oral contraception only

(cf no contraception; n = 172)

 

Condoms only

(cf no contraception; n = 79)

 

Withdrawal only

(cf no contraception; n = 55) 

Oral contraception/non-hormonal method

(cf no contraception; n = 71) 

 

OR

(95% CI)

P

OR

(95% CI)

P

OR

(95% CI)

P

OR

(95% CI)

P

Highest education

               

High school

0.72 (0.45–1.15)

0.169

1.08 (0.59–2.00)

0.794

1.05 (0.53–2.08)

0.880

0.64 (0.34–1.20)

0.163

Post high school (ref)

Area of residence

               

Major city (ref)

Inner regional

1.49 (0.85–2.62)

0.162

0.81 (0.39–1.71)

0.587

0.98 (0.44– 2.19)

0.966

0.63 (0.29–1.39)

0.254

Outer regional/remote/very remote

1.19 (0.63–2.25)

0.602

0.75 (0.32–1.76)

0.506

0.58 (0.20–1.70)

0.323

0.57 (0.23–1.41)

0.221

Relationship status

               

Single (ref)

Partner (not living together)

1.82 (0.89–3.72)

0.099

1.82 (0.74–4.47)

0.193

1.57 (0.60–4.11)

0.359

0.82 (0.34–2.01)

0.664

Cohabitating

1.32 (0.69–2.52)

0.407

1.33 (0.57–3.13)

0.514

0.72 (0.27–1.91)

0.514

0.84 (0.38–1.88)

0.678

Engaged or married

0.91 (0.43–1.91)

0.805

1.38 (0.54–3.55)

0.502

1.16 (0.43–3.14)

0.776

0.57 (0.22–1.48)

0.246

Employment status

               

Working and studying (ref)

Working only

0.91 (0.48–1.72)

0.763

0.74 (0.33–1.63)

0.453

0.83 (0.34–2.03)

0.678

0.60 (0.26–1.38)

0.229

Studying only

0.84 (0.38–1.86)

0.668

0.85 (0.34–2.17)

0.740

1.00 (0.34–2.91)

0.999

0.84 (0.32–2.18)

0.722

Not working or studying

0.67 (0.33–1.39)

0.284

0.40 (0.16–1.04)

0.061

0.67 (0.24–1.86)

0.445

0.63 (0.25– 1.59)

0.331

Consulted doctor in past six months

               

Yes (ref)

No

1.15 (0.55–2.37)

0.713

0.68 (0.23–2.01)

0.486

1.03 (0.35–3.04)

0.963

0.37 (0.10–1.36)

0.133

Transportation issues

               

Usually/always easy (ref)

Always/sometimes difficult

1.24 (0.61–2.53)

0.554

1.73 (0.73–4.08)

0.213

0.81 (0.25–2.59)

0.716

1.88 (0.80–4.44)

0.150

Age at first sex (years)

1.16 (0.98–1.37)

0.090

1.27 (1.01–1.60)

0.041

0.99 (0.79–1.25)

0.934

1.50 (1.18–1.91)

0.001

Age at first pregnancy (years)

1.06 (0.94–1.20)

0.345

0.78 (0.66–0.93)

0.004

1.07 (0.91–1.27)

0.412

0.82 (0.69–0.98)

0.029

Contraceptive knowledge

               

Excellent/very good (ref)

Good/fair/no knowledge

0.89 (0.54–1.48)

0.665

0.99 (0.52–1.89)

0.984

0.79 (0.38–1.67)

0.543

0.64 (0.32–1.27)

0.202

Note: multinomial regression with contraceptive combinations as the outcome (REF: no contraception; n = 161)

Discussion

Most participants (84.6%) who reported a previous pregnancy considered it an accident. The majority of participants (73.4%) indicated that they used some form of contraception, most commonly the combined oral contraceptive pill (39.1%), at the time of conception. Condoms were also used by those who experienced an unintended pregnancy, both alone (13.1%) and in combination with the pill (11.8%). Importantly, the study found very few sociodemographic factors that determined contraceptive use prior to an unintended pregnancy.

It is well established that user-dependent contraceptive methods (eg the pill) are characterised by larger disparities between typical and perfect use rates when compared with their non–user dependent counterparts (eg intrauterine devices).9 Additionally, user non-compliance with the pill is well described,10 as is user dissatisfaction with condoms, often leading to discontinuation of the method.11 These findings highlight the continued trend for young women to use short-term hormonal and barrier methods over more effective long-acting reversible contraception (LARC), as has also been demonstrated elsewhere.12

Interestingly, 18.5% of participants reported using the withdrawal method exclusively or in combination with another method prior to an unintended pregnancy. Withdrawal relies on the willingness and skill of the male partner, and is much less effective at preventing pregnancy than hormonal methods, particularly among young people.9 It is unclear why the participants used this method at such high rates, above and beyond significantly more effective hormonal methods.

Practising the withdrawal method may reflect cultural or religious values,13 relationship dynamics, sexual pleasure considerations,14 a lack of knowledge about other hormonal methods,15 or a convenient contraceptive choice.16,17 Additionally, using the withdrawal method may have been to avoid the side effects associated with hormonal contraceptives, given previous indications of the importance of side effects in contraceptive decision-making.18

Furthermore, despite reporting that their pregnancy was accidental, 26.6% of participants reported using no contraception prior to the unintended conception. The reasons for these responses are unclear. Potentially, participants may be illustrating ambivalent views towards conception and pregnancy. Research has found a relationship between pregnancy ambivalence and contraceptive use, where participants who report ambivalence use less effective methods19 or no contraceptive at all.20 Alternatively, these findings may reflect issues with access,21,22 or other social or relational impacts (including relationship status) on unprotected intercourse leading to unintended pregnancy.23

Contraceptive use prior to unintended pregnancy takes place within complex and varied individual, social and relationship contexts. In the clinical setting, taking the time to listen to women about their individual needs and circumstances of their life may lead to better discussions about what contraceptive method works best for them. It is also important to allow for follow-up appointments to check on acceptability of side effects and other aspects of the method. This may also increase the woman’s satisfaction with the method and lead to better effectiveness.

Given the high rate of oral contraceptive failure, ensuring women understand how to use their contraception effectively is also important. Although reducing unintended pregnancies by increasing the access that women have to LARC is an important step, it is important to ensure they are provided with knowledge and information about all available methods so they are able to make the best decision for themselves.24 Future research could investigate why young women continue to use short-term hormonal, barrier and natural methods above and beyond their more effective LARC counterparts.

Strengths and limitations

This study is the first to explore contraceptive use before unintended pregnancy as experienced by young Australian women using a large sample of participants that was demographically similar to women of the same age in the Australian population. Importantly, this allows for a greater understanding of contraceptive use at the time of unintended conception. However, it must be noted that we used non–random-sampling techniques (with a large focus on social media) to recruit the participants.7 While this method of recruitment does not allow us to produce a response rate or provide a comparison between responders and non-responders, we achieved a similar demographic profile to other cohort studies of young women using traditional sampling techniques.25

This study should also be considered in light of a few other limitations. First, we used a dichotomous measure of unintended pregnancy (‘Yes’ or ‘No’). Although this meant that we were unable to capture the complexity of unintended pregnancy, pregnancy intendedness is difficult to accurately measure.26 Our measure of pregnancy intendedness was developed on the basis of feedback from focus groups of young women.27 The measure was constructed to ensure maximum clarity and relevance for young women, an approach that is increasingly recognised as useful.1

Second, we relied on retrospective and self-reported accounts of unintended pregnancy. Research has shown that opinions towards pregnancy often change after the birth of the child.28 There may have been participants in our study who experienced an unintended pregnancy but did not consider it as such at the time of completing the survey, and vice versa. This means that the rate of unintended pregnancy in our cohort may be under-reported.

Third, we examined combinations of contraceptive use at the time of first unintended pregnancy. Hence, the intricacies associated with contraceptive use for repeated unintended pregnancies may be different. Indeed, 20% of participants reported two unintended pregnancies, and this may be an avenue for further exploration in the future.

Fourth, similar to other longitudinal health surveys29 women from lower educational backgrounds were under-represented. However, this was adjusted in the multivariate analysis.

Finally, as our primary interest was on the contraceptive practices leading to unintended pregnancy, we did not collect data on the outcome of these pregnancies. This may be an area of interest for future research.

Conclusion

Most of the participants who reported ever being pregnant considered the pregnancy to be accidental. Almost three quarters of participants were using some form of contraception at the time; generally, the pill, condoms or withdrawal method. In the clinical setting, conversations about contraception might benefit from discussing the disparities between rates of effectiveness under perfect and typical use conditions, while acknowledging the social and personal aspects of contraceptive (non-)use.

Follow-up consultations could ensure that the chosen method continues to be suitable, or provide alternative methods if it is not. All women presenting to their GP for advice about contraception should be provided with a comprehensive conversation about the available methods, and a decision about the most appropriate method made by the woman in consultation with her GP.

Authors

Jacqueline Coombe BSocSci (Hons), PhD candidate, Research Centre for Generational Health and Ageing, Faculty of Health, University of Newcastle, Callaghan, NSW. jacqueline.coombe@uon.edu.au

Melissa L Harris BA, Psych (Hons), PhD, Research Fellow, Research Centre for Generational Health and Ageing, Faculty of Health, University of Newcastle, Callaghan, NSW

Britta Wigginton BA (Hons), PhD, Lecturer, School of Public Health, University of Queensland, Herston, Qld

Jayne C Lucke BA (Hons), PhD, Director, Australian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Vic

Deborah Loxton BPsych (Hons), PhD, Co-Director, Research Centre for Generational Health and Ageing, Faculty of Health, University of Newcastle, Callaghan, NSW

Competing interests: The funding partners (Australian Research Council [ARC; Linkage Project Grant LP100200349] and industry partners Family Planning NSW and Bayer Australia Ltd) had no input into this paper and researchers worked independently from the funders. The research on which this paper is based was conducted at the universities of Queensland and Newcastle. All authors had full access to all of the data for this paper.

Jayne Lucke has received funding from the ARC and the National Health and Medical Research Council (NHMRC). She served as a director of Family Planning Queensland and was Chief Investigator on an ARC Linkage Grant that involves cash and in-kind support from Family Planning NSW and Bayer Australia. She has received personal fees and non-financial support from Merck, Sharpe & Dohme (Australia) Pty Ltd outside the submitted work. She is Director of the Australian Research Centre in Sex, Health and Society, which receives funding from diverse sources listed in the annual report (available at www.latrobe.edu.au/arcshs). Deborah Loxton has received funding from the ARC and NHMRC. She was Chief Investigator on an ARC Linkage Grant that involves cash and in-kind support from Family Planning NSW and Bayer Australia. She is Deputy Director on the Australian Longitudinal Study on Women’s Health, which is funded by the Department of Health. She is also the co-director of the Research Centre for Generational Health and Ageing at the University of Newcastle, which receives funding for research projects from diverse sources. Melissa Harris and Britta Wigginton were previously employed through an ARC Linkage Grant that involved some cash and in-kind support from Family Planning NSW and Bayer Australia. Jacqueline Coombe is supported by an Australian Postgraduate Award (APA).

Provenance and peer review: Not commissioned, externally peer reviewed.

Acknowledgements

We gratefully acknowledge funding support from the Australian Research Council (Linkage Project Grant LP100200349), and industry partners Family Planning NSW and Bayer Australia Ltd. We are grateful to the women who provided the survey data. All members of the Faculty of Health and Medicine at the University of Newcastle are affiliated with the Hunter Medical Research Institute (HMRI).


References
  1. Rowe H, Holton S, Kirkman M, et al. Prevalence and distribution of unintended pregnancy: The Understanding Fertility Management in Australia National Survey. Aust N Z J Public Health 2016;40(2):104–09. Search PubMed
  2. Lucke JC, Herbert D, Loxton D, Weisberg E. Unintended pregnancies – Reducing rates by improving access to contraception. Aust Fam Physician 2011;40(11):849. Search PubMed
  3. Gipson JD, Koenig MA, Hindin MJ. The effects of unintended pregnancy on infant, child, and parental health: A review of the literature. Stud Family Plann 2008;39(1):18–38. Search PubMed
  4. Finer L, Henshaw SK. Disparities in rates of unintended pregnancy in the united states, 1994 and 2001. Perspect Sex Reprod Health 2006;38(2):90–96. Search PubMed
  5. Rassi A, Wattimena J, Black K. Pregnancy intention in an urban Australian antenatal population. Aust N Z J Public Health 2013;37(6):568–73. Search PubMed
  6. Finer LB, Zolna MR. Declines in unintended pregnancy in the United States, 2008–2011. N Engl J Med 2016;374(9):843–52. Search PubMed
  7. Harris ML, Loxton D, Wigginton B, et al. Recruiting online: Lessons from a longitudinal survey of contraception and pregnancy intentions of young Australian women. Am J Epidemiol 2015;181(10):737–46. Search PubMed
  8. Australian Population and Migration Research Centre. ARIA (Accessibility/Remoteness Index of Australia). Adelaide: APMRC, 2015. Available at www.adelaide.edu.au/apmrc/research/projects/category/about_aria.html [Accessed 14 September 2015]. Search PubMed
  9. Family Planning NSW, Family Planning Queensland, Family Planning Victoria. Contraception: An Australian Clinical Practice Handbook. 3rd edn. Family Planning NSW, Family Planning Queensland, Family Planning Victoria, 2012. Search PubMed
  10. Molloy G, Graham H, McGuinness H. Adherence to the oral contraceptive pill: A cross-sectional survey of modifiable behavioural determinants. BMC Public Health 2012;12:838. Search PubMed
  11. Fennell J. ‘And Isn’t that the point?’: Pleasure and contraceptive decisions. Contraception 2014;89(4):264–70. Search PubMed
  12. Gray E, Arunachalam D. Patterns of contraceptive use. In: Heard G, Arunachalam D, editors. Family formation in 21st century Australia. Dordrecht: Springer; 2015; p. 123–40. Search PubMed
  13. Srikanthan A, Reid RL. Religious and cultural influences on contraception. J Obstet Gynaecol Canada 2008;30(2):129–37. Search PubMed
  14. Higgins JA, Wang Y. Which young adults are most likely to use withdrawal? The importance of pregnancy attitudes and sexual pleasure. Contraception 2015;91(4):320–27. Search PubMed
  15. Ritter T, Dore A, McGeechan K. Contraceptive knowledge and attitudes among 14–24-year-olds in New South Wales, Australia. Aust N Z J Public Health 2015;39(3):267–69. Search PubMed
  16. Whittaker PG, Merkh RD, Henry-Moss D, Hock‑Long L. Withdrawal attitudes and experiences: A qualitative perspective among young urban adults. Perspect Sex Reprod Health 2010;42(2):102–09. Search PubMed
  17. Ortayli N, Bulut A, Ozugurlu M, Cokar M. Why withdrawal? Why not withdrawal? Men’s perspectives. Reprod Health Matters 2005;13(25):164–73. Search PubMed
  18. Wigginton B, Harris ML, Loxton D, Lucke JC. A qualitative analysis of women’s explanations for changing contraception: the importance of non-contraceptive effects. J Fam Plan Reprod Health Care 2016 [Epub ahead of print]. Search PubMed
  19. Schwarz EB, Lohr PA, Gold MA, Gerbert B. Prevalence and correlates of ambivalence towards pregnancy among nonpregnant women. Contraception 2007;75(4):305–10. Search PubMed
  20. Higgins JA, Popkin RA, Santelli JS. Pregnancy ambivalence and contraceptive use among young adults in the United States. Perspect Sex Reprod Health 2012;44(4):236–43. Search PubMed
  21. Dixon SC, Herbert DL, Loxton D, Lucke JC. ‘As many options as there are, there are just not enough for me’: Contraceptive use and barriers to access among Australian women. Eur J Contracept Reprod Health Care 2014;19(5):340−51. Search PubMed
  22. Garrett CC, Keogh LA, Kavanagh A, Tomnay J, Hocking JS. Understanding the low uptake of long-acting reversible contraception by young women in Australia: A qualitative study. BMC Womens Health 2015;15:72. Search PubMed
  23. Biggs M, Karasek D, Foster DG. Unprotected intercourse among women wanting to avoid pregnancy: Attitudes, behaviors, and beliefs. Womens Health Issues 2012;22(3):e311–18. Search PubMed
  24. American College of Obstetricians and Gynecologists Committee Opinion. Increasing access to contraceptive implants and intrauterine devices to reduce unintended pregnancy. Washington, DC: ACOG, 2015. www.acog.org/Resources-And-Publications/Committee-Opinions/Committee-on-Gynecologic-Practice/Increasing-Access-to-Contraceptive-Implants-and-Intrauterine-Devices-to-Reduce-Unintended-Pregnancy [Accessed 29 October 2015]. Search PubMed
  25. Brown WJ, Bryson L, Byles JE, et al. Women’s health Australia: Recruitment for a national longitudinal cohort study. Women Health 1999;28(1):23–40. Search PubMed
  26. Santelli J, Rochat R, Hatfield-Timajchy K, et al. The measurement and meaning of unintended pregnancy. Perspect Sex Reprod Health 2003;35(2):94–101. Search PubMed
  27. Herbert DL, Loxton D, Bateson D, Weisberg E, Lucke JC. Challenges for researchers investigating contraceptive use and pregnancy intentions of young women living in urban and rural areas of Australia: Face-to-face discussions to increase participation in a web-based survey. J Med Internet Res 2013;15(1):e10. Search PubMed
  28. Bankole A, Westoff CF. The consistency and validity of reproductive attitudes: Evidence from Morocco. J Biosoc Sci 1998;30(4):439–55. Search PubMed
  29. Loxton D, Powers J, Anderson A, et al. Online and offline recruitment of young women for a longitudinal health survey: Findings from the Australian Longitudinal Study on Women’s Health 1989–95 Cohort. J Med Internet Res 2015;17(5):e109. Search PubMed
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Printed from Australian Family Physician - https://www.racgp.org.au/afp/2016/november/contraceptive-use-at-the-time-of-unintended-pr-2
© The Australian College of General Practitioners www.racgp.org.au