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. 2022 Jul;111:3–21. doi: 10.1016/j.contraception.2022.04.011

Values and preferences for contraception: A global systematic review✰✰

Ping Teresa Yeh a, Hunied Kautsar a, Caitlin E Kennedy a, Mary E Gaffield b,
PMCID: PMC9232836  PMID: 35525287

Abstract

Objective

To identify and synthesize original research on contraceptive user values, preferences, views, and concerns about specific family planning methods, as well as perspectives from health workers.

Study design

We conducted a systematic review of global contraceptive user values and preferences. We searched 10 electronic databases for qualitative and quantitative studies published from 2005 to 2020 and extracted data in duplicate using standard forms.

Results

Overall, 423 original research articles from 93 countries among various groups of end-users and health workers in all 6 World Health Organization regions and all 4 World Bank income classification categories met inclusion criteria. Of these, 250 (59%) articles were from high-income countries, mostly from the United States of America (n = 139), the United Kingdom (n = 29), and Australia (n = 23). Quantitative methods were used in 269 articles, most often cross-sectional surveys (n = 190). Qualitative interviews were used in 116 articles and focus group discussions in 69 articles. The most commonly reported themes included side effects, effectiveness, and ease/frequency/duration of use. Interference in sex and partner relations, menstrual effects, reversibility, counseling/interactions with health workers, cost/availability, autonomy, and discreet use were also important. Users generally reported satisfaction with (and more accurate knowledge about) the methods they were using.

Conclusions

Contraceptive users have diverse values and preferences, although there is consistency in core themes across settings. Despite the large body of literature identified and relevance to person-centered care, varied reporting of findings limited robust synthesis and quantification of the review results.

Keywords: Contraception, Health worker preferences, Patient preferences, Systematic review

1. Introduction

Understanding the values and preferences of contraceptive users is an important component of good healthcare practice at clinical, community, and health system levels, and can ultimately support contraceptive users in identifying and using a method that suits their needs and enables them to meet their family planning goals. Choice—or rather, optimizing choice—is a fundamental principle that guides efforts to strengthen the quality of family planning and contraceptive services [1]. At the clinical level, health workers will be better equipped to work with clients to meet each individual's reproductive health needs if they have an understanding of user values and preferences. Community-level support for contraceptive use, which may include awareness and access through local health workers and pharmacists, media campaigns, and large-scale training and information activities, will benefit from greater understanding of the range of values and preferences. At the health system level, service providers will be better able to respond to unmet need for family planning and empower individuals to access and use preferred contraceptive methods if they are attuned to what end-users value and prefer.

The World Health Organization (WHO) Medical Eligibility Criteria for Contraceptive Use [2] and Selected Practice Recommendations for Contraceptive Use [3] guidelines present information on the safety of various contraceptive methods in the context of specific health conditions and personal characteristics, and how to safely and effectively use a particular method once a person is deemed medically eligible. WHO's guideline development process [4], considers the values and preferences of end-users of contraception and health workers—the individuals and populations affected by the intervention—within the review and development of these guidelines. To inform updated versions of these guidelines, we conducted a systematic review using systematic search, screening, and data abstraction methods to examine values and preferences for all of the contraceptive methods covered. In this manuscript, we present our overall findings from the global review [5,6]. Additional papers in this series detail values and preferences for specific populations of contraceptive end-users and health workers [711].

2. Methods

We conducted this review according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines [12]. We previously published a detailed description of the methods for the review [6].

Briefly, we searched 10 electronic databases (PubMed, PsycINFO, Sociological Abstracts, CINAHL, Scopus, LILACS, WHO Global Health Libraries, Ovid Global Health, Embase, and POPLINE), secondary-searched several relevant review articles [[13], [14], [15], [16]17], and asked experts in the field to identify articles published in a peer-reviewed journal between January 1, 2005 and July 27, 2020. Articles had to present primary data (qualitative or quantitative) on contraceptive clients’ or health workers’ values, preferences, views, or concerns regarding the contraceptive methods considered within the WHO's Medical Eligibility Criteria for Contraceptive Use and Selected Practice Recommendations for Contraceptive Use guidelines. To keep the review as broad as possible, we set no restrictions based on language of publication, country/setting, or study design. We searched using key terms for contraception and contraceptive methods, values and preferences, and elimination of irrelevant studies (such as animal studies) and adapted terms for each of the 10 databases.

We first conducted title/abstract screening, then secondary screening in duplicate with discrepancies resolved by discussion and consensus. Inclusion in the global review was determined after full-text review in duplicate. We abstracted data using standardized forms developed specifically for this project, gathering information on: citation, location, target population, study design, sample size, key quantitative or qualitative results, and study rigor (using the Evidence Project Risk of Bias tool [18] for quantitative findings and the Critical Appraisal Skills Programme qualitative research checklist [19] for qualitative findings). We iteratively coded themes that encapsulated values and preferences of end-users and health workers, and we ranked themes by frequency of mention. We summarized coded results narratively to capture main findings related to values and preferences. Due to the large number of included articles, we generally do not include citations to individual articles in the results presented below; instead, we only cite specific papers when providing illustrative quotes or statistics.

3. Results

3.1. Search results

We identified 15,349 potential articles through our search process and an additional 131 through secondary reference searching of included articles, relevant reviews, and specific population subanalyses (Fig. 1). After removing duplicates, we screened the titles/abstracts of 7846 articles and reviewed the full text of 604 articles. Ultimately, 423 articles reporting data from 412 studies met our inclusion criteria. Below, we present an overview of findings from this global review.

Fig. 1.

Fig 1

PRISMA flowchart presenting the search and screening process for the contraceptive values and preferences global review 2005-2020.

3.2. General characteristics of included studies

Summary characteristics of the included articles are provided in the study description table, organized by geographic WHO region (Tables 1A1F). The Contraceptive Health Research of Informed Choice Experience (CHOICE) study, a large European multicountry study, was reported in 10 articles [[20], [21], [22], [23], [24], [25], [26], [27], [28], [29]29], and the Contraceptive CHOICE study on long-acting reversible contraceptive (LARC) methods in Missouri, the United States of America (USA), was reported in 4 articles [[30], [31], [32]33]. The 410 studies (reported in 423 articles) included 463,048 participants; individual study sample sizes ranged from 10 (a qualitative study on intrauterine devices (IUDs) in the United Kingdom [34]) to 70,016 (a cross-sectional analysis of a national household survey in India [35]).

Table 1B.

Summary characteristics of articles included in the contraceptive values and preferences global systematic review which were conducted in countries in the WHO Eastern Mediterranean Region 2005-2020

Author year DOI Location Population Study design
Abu Hashim 2012 10.1016/j.contraception.2011.07.012 Egypt: Mansoura Menstrual Issues Quantitative
Jamali 2014 10.4103/2231-4040.143025 Iran General (female) Quantitative
Kariman 2014 ARABIC sid.ir/en/Journal/ViewPaper.aspx?ID=364280 Iran: Zahedan General (female) Quantitative
Rahmanpour 2010 PMID: 21381574 Iran: Zanjan Postpartum Quantitative
Rahnama 2010 10.1186/1471-2458-10-779 Iran: Tehran General (female) Quantitative
Shirvani 2008 FARSI hayat.tums.ac.ir/browse.php?a_id=169 Iran: Ghaemshahr General (female) Quantitative
Baram 2020 10.1080/13625187.2019.1699048 Israel General (female) Quantitative
Romer 2009 10.3109/13625180903203154 Multicountry: Austria; Bulgaria; Estonia; France; Germany; Hungary; Ireland; Italy; Jordan; Latvia; Lebanon; Lithuania; Malta; Netherlands; Poland; Russia; Spain; Ukraine General (female) Quantitative
Xu 2014 10.1016/j.fertnstert.2011.08.019 Multicountry: China, Taiwan, Hong Kong, Indonesia, Malaysia, Pakistan, South Korea, Thailand Menstrual Issues Quantitative
Lendvay 2014 10.1016/j.contraception.2013.11.002 Multicountry: Kenya: Nairobi; Pakistan: Sindh, Punjab General (female) Quantitative
Azmat 2012 ecommons.aku.edu/cgi/viewcontent.cgi? article=1895&context=pakistan_fhs_mc_chs_chs Pakistan: Punjab, Sindh General (mixed gender) Qualitative
Naqaish 2012 PMID: 23855088 Pakistan: Islamabad General (female), Menstrual Issues Quantitative
Nishtar 2013 10.5539/gjhs.v5n2p84 Pakistan: Kirachi: Nasir Colony and Chakra Goth Young people (mixed gender), Vasectomies Qualitative
Karim 2015 10.12669/pjms.316.8127 Saudi Arabia: Riyadh General (female) Quantitative

Table 1C.

Summary characteristics of articles included in the contraceptive values and preferences global systematic review which were conducted in countries in the WHO European Region 2005-2020

Author year DOI Location Population Study design
Bodner 2011 10.1007/s00404-010-1368-6 Austria: multiple sites Young people (female), General (female) Quantitative
Egarter 2012 10.1016/j.rbmo.2011.12.003 Austria: multiple sites General (female) Quantitative
Stoegerer-Hecher 2012 10.3109/09513590.2011.588751 Austria General (female) Quantitative
Merckx 2011 10.3109/13625187.2011.625882 Belgium General (female) Quantitative
Benčić 2014 CROATIAN PMID: 26285466 Croatia: Zaprešić General (female) Quantitative
Fait 2011a 10.2478/s11536-011-0062-9 Czech Republic General (female) Quantitative
Kikalova 2014 CZECH N/A Czech Republic: Olomouc, Palacky University Young people (mixed gender) Quantitative
Tiihonen 2008 10.2165/1312067-200801030-00004 Finland General (female) Quantitative
Amouroux 2018 10.1371/journal.pone.0195824 France General (male), Providers Quantitative
Jost 2014 FRENCH 10.1016/j.gyobfe.2014.04.008 France General (female) Quantitative
Brucker 2008 10.1080/13625180701577122 Germany General (female) Quantitative
Oppelt 2017 10.1007/s00404-017-4373-1 Germany General (female), Providers Quantitative
Schramm 2007 10.1016/j.contraception.2007.03.014 Germany General (female) Quantitative
Buhling 2014 10.3109/13625187.2014.945164 Germany Providers Quantitative
Tsikouras 2014 10.1007/s00404-014-3181-0 Greece Previously had abortions Quantitative
Sweeney 2015 10.1371/journal.pone.0144074 Ireland: Galway General (female), Providers Qualitative
Shilo 2015 10.1111/jsm.12940 Israel Young people (mixed gender) Quantitative
Cagnacci 2018 10.1080/13625187.2018.1541080 Italy General (female) Quantitative
Crosignani 2009 10.1186/1472-6874-9-18 Italy: multiple sites General (female) Quantitative
Di Giacomo 2013 10.1111/jocn.12432 Italy Postpartum Quantitative
Franchini 2017 10.1016/j.jmig.2017.02.004 Italy Other special medical conditions Quantitative
Gambera 2015 10.1186/s12905-015-0226-x Italy General (female) Quantitative
Sabatini 2006 10.1016/j.contraception.2006.03.022 Italy: Bari General (female) Quantitative
Tafuri 2010 10.3109/13625180903427683 Italy: Apulia General (mixed gender) Quantitative
Vercellini 2010 10.1016/j.fertnstert.2009.01.071 Italy: Milan Other special medical conditions, Menstrual Issues Quantitative
Zeqiri 2009 PMID: 20380116 Kosovo: Kosova General (female) Quantitative
Čepuliene 2012 PMID: 23128463 Lithuania General (female) Quantitative
Crosby 2013 10.1258/ijsa.2008.008120 Multicountry (online): mostly USA; Australia; Canada; New Zealand; United Kingdom; Western Europe General (mixed gender) Quantitative
Gemzell-Danielsson 2017 10.1111/j.1600-0412.2011.01180.x Multicountry: Argentina; Canada; Chile; Finland; France; Hungary; Mexico; Netherlands; Norway; Sweden; USA General (female) Quantitative
Gemzell-Danielsson 2012 10.1016/j.contraception.2012.06.002 Multicountry: Australia, Brazil, Canada, France, Germany, Korea, Mexico, Spain, Sweden, United Kingdom Providers Quantitative
Hooper 2010 10.2165/11538900-000000000-00000 Multicountry: Australia; Brazil; France; Germany; Italy; Russia; Spain; United Kingdom; USA General (female) Quantitative
Apter 2016 10.1016/j.fertnstert.2016.02.036 Multicountry: Australia; Finland; France; Norway; Sweden; United Kingdom General (female) Quantitative
Schultz-Zehden 2006 10.2165/00024677-200605040-00006 Multicountry: Austria; Belgium; Czech Republic; Denmark; Finland; France; Germany; Hungary; Iceland; Netherlands; Norway; Slovakia; Spain; Sweden; United Kingdom General (female) Quantitative
Bitzer 2012 10.1080/13625180902968856 Multicountry: Austria; Belgium; Czech Republic; Israel; Netherlands; Poland; St Petersburg/Moscow in Russia; Slovakia; Sweden; Switzerland; Ukraine General (female) Quantitative
Bitzer 2013 10.3109/13625187.2011.637586 Multicountry: Austria; Belgium; Czech Republic; Israel; Netherlands; Poland; St Petersburg/Moscow in Russia; Slovakia; Sweden; Switzerland; Ukraine General (female) Quantitative
Egarter 2013 10.1186/1472-6874-13-9 Multicountry: Austria; Belgium; Czech Republic; Israel; Netherlands; Poland; St Petersburg/Moscow in Russia; Slovakia; Sweden; Switzerland; Ukraine General (female) Quantitative
Ahrendt 2006 10.1016/j.contraception.2006.07.004 Multicountry: Austria; Belgium; Denmark; France; Germany; Italy; Norway; Spain; Sweden; Switzerland General (female) Quantitative
Urdl 2005 10.1016/j.ejogrb.2005.01.021 Multicountry: Austria; Belgium; Finland; France; Germany; Hungary; Netherlands; Poland; South Africa; Switzerland General (female) Quantitative
Nappi 2016 10.3109/13625187.2016.1154144 Multicountry: Austria; Belgium; France; Italy; Poland; Spain General (female) Quantitative
Borgatta 2016 10.1080/13625187.2016.1212987 Multicountry: Austria; Belgium; Germany; USA General (female) Quantitative
Romer 2009 10.3109/13625180903203154 Multicountry: Austria; Bulgaria; Estonia; France; Germany; Hungary; Ireland; Italy; Jordan; Latvia; Lebanon; Lithuania; Malta; Netherlands; Poland; Russia; Spain; Ukraine General (female) Quantitative
Jakimiuk 2011 10.3109/09513590.2010.538095 Multicountry: Belgium; Bulgaria; France; Ireland; Italy; Poland; Romania; Russia General (female) Quantitative
Short 2009 10.2165/00044011-200929030-00002 Multicountry: Belgium; Czech Republic; Estonia; France; Germany; Hungary; Latvia; Lithuania; Malta; Slovakia; Slovenia; Spain General (female) Quantitative
Mansour 2014 10.2147/IJWH.S59059 Multicountry: Brazil; France; Germany; Italy; USA General (female) Quantitative
Fait 2018 10.7573/dic.212510 Multicountry: Czech Republic; Poland; Romania; Russia; Slovakia General (female) Quantitative
Fait 2011b CZECH PMID: 21838148 Multicountry: Czech Republic; Slovakia General (female) Quantitative
Fait 2011c CZECH PMID: 21649999 Multicountry: Czech Republic; Slovakia General (female) Quantitative
Heikinheimo 2014 10.1093/humrep/deu063 Multicountry: Finland; France; Ireland; Sweden General (female) Quantitative
Wiegratz 2010 10.3109/13625187.2010.518708 Multicountry: Germany; Austria Providers Quantitative
Lopez-del Burgo 2013 10.1111/jocn.12180 Multicountry: Germany; France; Sweden; Romania; United Kingdom General (female) Quantitative
Haimovich 2009 10.1080/13625180902741436 Multicountry: Germany; France; United Kingdom; Spain; Italy; Russian Federation; Estonia; Latvia; Lithuania; Austria; Czech Republic; Denmark; Norway; Sweden general (female), Young people (female) Quantitative
Festin 2016 10.1093/humrep/dev341 Multicountry: Thailand, Brazil, Singapore, Hungary General (female) Quantitative
Loeber 2017 10.1080/13625187.2017.1283399 Netherlands Previously had abortions Mixed methods
Roumen 2006 10.1080/13625180500389547 Netherlands General (female) Quantitative
Banas 2014 10.3109/01443615.2013.817982 Poland General (female), Other special medical conditions Quantitative
Zgliczynska 2019 10.3390/ijerph16152723 Poland (online) General (female) Quantitative
Bombas 2012 10.3109/13625187.2011.631622 Portugual: multiple sites Providers Quantitative
Costa 2011 10.3109/13625187.2011.608441 Portugual: multiple sites General (female) Quantitative
Larivaara 2010 10.1080/09581590903436895 Russia: St. Petersburg Providers Qualitative
Lete 2007 10.3109/13625187.2016.1174206 Spain: multiple sites General (female) Quantitative
Lete 2008 10.1016/j.contraception.2007.11.009 Spain: multiple sites General (female) Quantitative
Lete 2016 10.1016/j.contraception.2007.04.014 Spain General (mixed gender) Quantitative
Gemzell-Danielsson 2011 10.1016/j.ejogrb.2016.11.022 Sweden: multiple sites General (female) Quantitative
Kilander 2017 10.1080/13625187.2016.1238892 Sweden Providers Qualitative
Bitzer 2009 10.3109/13625187.2013.819077 Switzerland: Basel, Bern, Zurich Providers Quantitative
Merki-Feld 2007 10.3109/13625187.2011.630114 Switzerland General (female), Young people (female) Quantitative
Merki-Feld 2010 10.3109/13625187.2010.524717 Switzerland: Zurich General (female) Quantitative
Merki-Feld 2012 10.3109/13625187.2014.907398 Switzerland: multiple sites General (female) Quantitative
Merki-Feld 2014 10.1080/13625180701440180 Switzerland: Zurich General (female), Young people (female), Menstrual Issues Quantitative
Asker 2006 10.1783/147118906776276170 United Kingdom: England: Birmingham General (female) Qualitative
Altiparmak 2006 TURKISH N/A Turkey: Manisa General (female) Quantitative
Ciftcioglu 2009 10.1111/j.1365-2648.2009.05024.x Turkey General (female) Quantitative
Eskicioglu 2017 10.12891/ceog3291.2017 Turkey Other special medical conditions Quantitative
Kahramanoglu 2017 10.5603/GP.a2017.0115 Turkey: Istanbul General (female) Quantitative
Kursun 2014 10.3109/13625187.2014.890181 Turkey General (female) Quantitative
Ortayli 2005 10.1016/s0968-8080(05)25175-3 Turkey General (male) Qualitative
Ozturk Inal 2017 10.4274/jtgga.2016.0180 Turkey: Meram General (female) Quantitative
Yanikkerem 2006 10.1016/j.midw.2005.04.001 Turkey: Manisa General (female) Quantitative
Bracken 2014 10.3109/13625187.2014.917623 United Kingdom General (female) Quantitative
Cheung 2005 10.1016/j.contraception.2004.12.010 United Kingdom: England: London Young people (female), Special social conditions Qualitative
Free 2005 10.1080/08870440412331337110 United Kingdom Young people (female) Qualitative
Glasier 2008 10.1783/147118908786000497 United Kingdom: Scotland: Edinburgh, Glasgow General (female), Young people (female) Qualitative
Heller 2017 10.1111/aogs.13178 United Kingdom: Scotland: Edinburgh and surrounding area Other special medical conditions, Pregnant Quantitative
Hoggart 2013 10.1016/s0968-8080(13)41688-9 United Kingdom: England: London Young people (female), Providers Qualitative
Kane 2009 PMID: 19416603 United Kingdom: England: Lincolnshire General (female), Young people (female) Mixed methods
Lakha 2005 10.1016/j.contraception.2004.12.002 United Kingdom: Scotland: Edinburgh General (female) Quantitative
Lowe 2019 10.1080/13625187.2019.1675624 United Kingdom: England: Birmingham, Solihull General (female) Mixed methods
Moses 2010 10.3109/13625180903414483 United Kingdom: England: Leicestershire and Rutland Vasectomies Quantitative
Newton 2014 10.1136/jfprhc-2014-100956 United Kingdom: England: London Young people (female) Qualitative
Okpo 2014 10.1016/j.puhe.2014.08.012 United Kingdom: Scotland Young people (female), Special social conditions Qualitative
Rosales 2012 10.3109/01443615.2011.638998 United Kingdom General (female), Previously had abortions Quantitative
Say 2009 10.1783/147118909787931780 United Kingdom: England: Newcastle upon Tyne Young people (female) Mixed methods
Seston 2007 10.1007/s11096-006-9068-9 United Kingdom: England: North West General (female) Quantitative
Stephenson 2013 10.1016/j.contraception.2013.03.014 United Kingdom General (female) Quantitative
Umranikar 2008 ijsw.tiss.edu/greenstone/collect/ijsw/index/assoc/HASH0182/026f5b23.dir/doc.pdf United Kingdom: England: Southamptom General (female) Quantitative
Verran 2015 10.1136/jfprhc-2013-100764 United Kingdom: England: West Midlands General (female), Special social conditions Qualitative
Walker 2012 10.1016/j.jadohealth.2018.10.291 United Kingdom General (mixed gender) qualitative
Wellings 2007 10.1016/j.contraception.2007.05.085 United Kingdom Providers, General (mixed gender) quantitative
Williamson 2009 10.1783/147118909788708174 United Kingdom: Scotland Young people (female) qualitative

Table 1D.

Summary characteristics of articles included in the contraceptive values and preferences global systematic review which were conducted in countries in the WHO Region of the Americas 2005-2020

Author year DOI Location Population Study design
Alves 2008 Portuguese 10.1590/s0034-71672008000100002 Brazil: Sao Paulo Young people (mixed gender) Quantitative
Fernandes 2006 Portuguese old.scielo.br/scielo.php?pid=S0104-42302006000500019&script=sci_abstract&tlng=en Brazil: Sao Paulo: Campinas Other special medical conditions Quantitative
Ferreira 2014 10.1016/j.contraception.2013.09.012 Brazil: Sao Paulo: Campinas General (female) Quantitative
Gurgel Cosme de Nascimento 2017 Portuguese 10.15446/rsap.v19n1.44544 Brazil: Caraubas: West Potiguar General (mixed gender) Quantitative
Heilborn 2009 10.1590/S0102-311X2009001400009 Brazil: Rio de Janeiro State General (female) Qualitative
Hoga 2013 10.1016/j.srhc.2013.04.001 Brazil: Sao Paolo General (male), Special social conditions Qualitative
Machado 2013 10.3109/09513590.2013.808325 Brazil General (female) Quantitative
Marchi 2008 10.1111/j.1466-7657.2007.00572.x Brazil: Sao Paulo: Campinas Vasectomies Qualitative
Scavuzzi 2016 10.1055/s-0036-1580709 Brazil: Pernambuco General (female), Nulliparous Quantitative
Telles Dias 2006 10.1007/s10461-006-9139-x Brazil: Belem, Salvador, Sao Jose do Rio Preto, Rio de Janeiro, Porto Alegre, Itajai General (mixed gender), Special social conditions, PLHIV Mixed methods
Choi 2010 10.1016/s1701-2163(16)34571-6 Canada: British Columbia Providers Quantitative
Nguyen 2011 10.1016/j.contraception.2017.01.002 Canada: Ontario: Kingston (online) General (mixed gender) Quantitative
Skakoon-Sparling 2019 10.1080/00224499.2019.1579888 Canada: Ontario General (mixed gender) Quantitative
Toma 2012 10.1016/j.jpag.2006.05.005 Canada Young people (female) Quantitative
Wiebe 2006 10.1016/j.contraception.2006.02.001 Canada: Vancouver General (female) Qualitative
Wiebe 2010 10.1016/S1701-2163(16)34477-2 Canada: British Columbia Nulliparous Mixed methods
Wiebe 2012 PMID: 23152475 Canada: British Columbia Providers Mixed methods
Weisberg 2005b 10.3109/13625187.2013.853034 Canada General (female) Quantitative
Gomez Sanchez 2015 Spanish 10.1007/s10995-017-2297-9 Colombia General (female) Quantitative
Pomales 2013 10.1111/maq.12014 Costa Rica: San Jose General (male), Vasectomies Qualitative
van Dijk 2013 10.1016/j.jana.2012.10.007 Dominican Republic: Santiago, Puerto Plata Special social conditions, General (mixed gender) Qualitative
Cremer 2011 10.1089/jwh.2010.2264 El Salvador: La Paz, San Vicente, Cuscatlan, Cabanas General (female), Special social conditions Quantitative
Cravioto 2014 10.1016/j.contraception.2014.04.001 Mexico Other special medical conditions Quantitative
Juarez 2011 10.1080/17441692.2011.581674 Mexico: Mexico City: Gustavo A. Madera, Iztapalapa General (mixed gender) Qualitative
Crosby 2013 10.1258/ijsa.2008.008120 Multicountry (online): mostly USA; Australia; Canada; New Zealand; United Kingdom; Western Europe General (mixed gender) Quantitative
Crosby 2008 10.1007/s10935-013-0294-3 Multicountry (online): mostly USA; Canada General (mixed gender) Quantitative
Gemzell-Danielsson 2017 10.1111/j.1600-0412.2011.01180.x Multicountry: Argentina; Canada; Chile; Finland; France; Hungary; Mexico; Netherlands; Norway; Sweden; USA General (female) Quantitative
Gemzell-Danielsson 2012 10.1016/j.contraception.2012.06.002 Multicountry: Australia, Brazil, Canada, France, Germany, Korea, Mexico, Spain, Sweden, United Kingdom Providers Quantitative
Hooper 2010 10.2165/11538900-000000000-00000 Multicountry: Australia; Brazil; France; Germany; Italy; Russia; Spain; United Kingdom; USA General (female) Quantitative
Borgatta 2016 10.1080/13625187.2016.1212987 Multicountry: Austria; Belgium; Germany; USA General (female) Quantitative
Yam 2007 10.1363/ifpp.33.160.07 Multicountry: Barbados; Jamaica: Kingston metro area Providers Quantitative
Todd 2011 10.1007/s10461-010-9848-z Multicountry: Brazil: Rio de Janiero; Kenya: Kericho; South Africa: Soweto PLHIV Qualitative
Mansour 2014 10.2147/IJWH.S59059 Multicountry: Brazil; France; Germany; Italy; USA General (female) Quantitative
Coffey 2006 10.1016/j.contraception.2005.10.017 Multicountry: Mexico: Cuernavaca; South Africa: Durban; Thailand: Khon Kaen General (mixed gender) Quantitative
Mack 2010 10.1363/3614910 Multicountry: Nicaragua: Managua; El Salvador: San Salvador and San Miguel Special social conditions, Providers Mixed methods
Festin 2016 10.1093/humrep/dev341 Multicountry: Thailand, Brazil, Singapore, Hungary General (female) Quantitative
Cartwright 2020 10.12688/gatesopenres.13045.2 Multicountry: unspecified Young people (mixed gender), Special social conditions Mixed methods
Yarris 2016 10.1080/17441692.2016.1168468 Nicaragua: Matagalpa General (female) Qualitative
Jennings 2011 10.1016/j.contraception.2010.11.011 Peru: Lima, Piura General (female), Providers Quantitative
Ortiz-Gonzalez 2014 PMID: 25244880 Puerto Rico: San Juan Young people (female), Pregnant Quantitative
Agénor 2020 10.1363/psrh.12128 USA: MA: Boston Young people (male), Special social conditions Qualitative
Akers 2010 10.1089/jwh.2009.1735 USA: PA: Pittsburgh Providers Qualitative
Amico 2016 10.1016/j.contraception.2016.04.012 USA: NY: NYC: Bronx General (female) Qualitative
Anderson 2014 10.1363/46e1814 USA: CA: San Francisco General (female) Qualitative
Arteaga 2016 10.1080/00224499.2015.1079296 USA: CA: San Francisco Bay Area Young people (female) Qualitative
Bachorik 2015 10.1016/j.jpag.2014.08.002 USA: NY: New York City Young people (female) Quantitative
Baldwin 2016 10.1016/j.contraception.2015.12.006 USA: OR Postpartum Quantitative
Benfield 2018 10.1016/j.contraception.2018.01.017 USA: NY Providers Quantitative
Best 2014 10.1363/46E0114 USA: IN: Indianapolis Young people (female) Quantitative
Borrero 2009 10.1007/s11606-008-0887-3 USA: PA: Pittsburgh General (female), Other special medical conditions Qualitative
Callegari 2017 10.1016/j.ajog.2016.12.178 USA General (female), Special social conditions Quantitative
Campo 2010 10.1080/03630242.2010.480909 USA: (unspecified) rural midwestern state General (female) Qualitative
Carr 2018 10.1016/j.contraception.2017.10.008 USA: NM Pregnant, Postpartum, Special social conditions Mixed methods
Chapa 2012 10.2147/PPA.S30247 USA: TX: Dallas General (female), Other special medical conditions Quantitative
Coleman-Minahan 2019 10.1016/j.contraception.2019.08.011 USA: TX General (female), Special social conditions, Postpartum Quantitative
Corbett 2006 10.1111/j.1745-7599.2006.00114.x USA: (unspecified) southern coastal city Young people (mixed gender) Quantitative
Creinin 2008 10.1097/01.AOG.0000298338.58511.d1 USA: multiple sites (Boston, New York, Norfolk, Baltimore, Portland, Los Angeles, Chicago, Philadelphia, Pittsburg, Madison) General (female) Quantitative
Dehlendorf 2010 10.1016/j.pec.2010.06.021 USA: CA: San Francisco Previously had abortions Quantitative
Dehlendorf 2013 10.1016/j.contraception.2012.10.012 USA: CA: San Francisco General (female) Qualitative
DeMaria 2019 10.1186/s12905-019-0827-x USA: (unspecified) southeastern coastal region General (female) Mixed methods
DeSisto 2018 10.1186/s40834-018-0073-x USA: GA Postpartum, Special social conditions Mixed methods
Diedrich 2015 10.1016/j.ajog.2014.07.025 USA: MO: St. Louis General (female) Quantitative
Donnelly 2014 10.1016/j.contraception.2014.04.012 USA: ME, NH, VT General (female), Providers Quantitative
Downey 2017 10.1016/j.whi.2017.03.004 USA: CA: San Francisco Bay Area Young people (female) Qualitative
Edelman 2007 10.1016/j.contraception.2007.02.005 USA: OR: Portland; GA: Atlanta General (female) Quantitative
Epstein 2008 10.1016/j.jadohealth.2007.12.007 USA: CA: San Francisco Young people (female), Special social conditions Qualitative
Espey 2014 10.1016/j.ajog.2013.11.018 USA: NM: Albuquerque Nulliparous Quantitative
Fan 2016 10.1007/s10508-016-0816-1 USA: PA: Pittsburgh General (female) Mixed methods
Fennell 2014 10.1016/j.contraception.2013.11.012 USA: CT, MA, NC, NJ, RI, VA General (female) Qualitative
Fleming 2010 10.1016/j.contraception.2010.02.020 USA: CA Young people (female) Quantitative
Foster 2014 10.1016/j.contraception.2014.01.025 USA: multiple sites (St. Louis, New York, San Francisco, Philadelphia, Salt Lake City) General (female) Quantitative
Friedman 2015 10.1016/j.jpag.2014.02.015 USA: NY: New York City Young people (female) Quantitative
Frost 2008 10.1363/4009408 USA General (female) Quantitative
Galloway 2017 10.1016/j.jadohealth.2016.12.006 USA: SC: Spartanburg, Horry Young people (mixed gender), Nulliparous Qualitative
Garbers 2013 10.1089/jwh.2013.4247 USA: NY: New York City General (female) Quantitative
Gilliam 2009 10.1016/j.jpag.2008.05.008 USA: IL: Chicago Young people (female) Qualitative
Gollub 2015 10.1080/13691058.2015.1005672 USA General (female) Mixed methods
Gomez 2014 10.1363/46e2014 USA General (female) Quantitative
Gomez 2015 10.1016/j.whi.2015.03.011 USA General (mixed gender) Quantitative
Gomez 2017 10.1016/j.whi.2015.03.011 USA General (female) Qualitative
Goyal 2017 10.1097/AOG.0000000000001926 USA: TX Women seeking abortion services Quantitative
Gubrium 2011 10.1007/s13178-011-0055-0 USA: MA: 3 cities in western region General (female) Qualitative
Hall 2016a 10.1016/j.contraception.2016.02.007 USA General (female), Young people (female) Quantitative
Hall 2016b 10.1136/jfprhc-2014-101046 USA: NY: Ithaca General (female), Young people (female) Quantitative
He 2016 10.1089/jwh.2016.5807 USA General (female) Quantitative
Hensel 2012 10.1111/j.1743-6109.2012.02700.x USA General (male) Quantitative
Higgins 2008 10.1363/psrh.12025 USA: GA: Atlanta General (mixed gender) Qualitative
Higgins 2015 10.1111/jsm.12375 USA General (female) Qualitative
Higgins 2017 10.1363/47e4515 USA: WI: Dane County General (female) Qualitative
Hodgson 2013 10.1016/j.contraception.2012.10.011 USA: CT: New Haven General (female), Special social conditions Qualitative
Holt 2006 10.1089/jwh.2006.15.281 USA: CA: Northern region General (mixed gender) Qualitative
Hoopes 2015 10.1016/j.jpag.2015.09.011 USA: WA Young people (female) Qualitative
Hoopes 2018 10.1016/j.jpag.2017.11.008 10.1016/j.jpag.2017.11.008. Epub 2017 Dec 1. USA: CO General (female) Quantitative
Howard 2013 10.1016/j.jpag.2013.07.013 USA: MO: Kansas City Postpartum, Young people (female) Quantitative
Hubacher 2015b 10.1016/j.contraception.2014.11.006 USA: NC General (female) Quantitative
Hubacher 2017 10.1016/j.ajog.2016.08.033 USA: NC General (female) Quantitative
Jackson 2016 10.1016/j.contraception.2015.12.010 USA General (female), Women seeking abortion services Quantitative
Kaller 2020 10.1186/s12905-020-0886-z USA: CA: San Francisco Women seeking emergency contraception, Young people (female) Qualitative
Kavanaugh 2013 10.1016/j.jpag.2012.10.006 USA Young people (female), Providers Qualitative
Kimport 2017 10.1016/j.contraception.2016.10.009 USA: CA: San Francisco Bay Area General (female) Qualitative
Lamvu 2006 10.1016/j.contraception.2005.10.007 USA General (female) Quantitative
Latka 2008 10.1521/aeap.2008.20.2.160 USA: NY: New York City Young people (mixed gender) Qualitative
Lehan Mackin 2015 10.1177/0193945914551005 USA General (female) Quantitative
Lessard 2012 10.1363/4419412 USA: multiple sites (St. Louis, Chicago, Little Rock, Seattle, Philadelphia, Oakland) Women seeking abortion services Quantitative
Levy 2014 10.1016/j.whi.2014.10.001 USA: CA: 6 San Francisco Bay Area clinics General (female), Providers Qualitative
Lewis 2012 10.1016/j.jpag.2012.08.003 USA: IL: Chicago postpartum, Young people (female) Qualitative
Madden 2010 10.1016/j.contraception.2009.08.002 USA: IL Providers Quantitative
Madden 2015 10.1016/j.ajog.2015.01.051 USA General (female) Quantitative
Mantell 2011 10.1521/aeap.2011.23.1.65 USA: NY: New York City Providers Qualitative
Marshall 2016 10.1363/48e10116 USA General (female) Quantitative
Marshall 2017 10.1016/j.contraception.2017.10.004 USA: CA: Oakland General (female) Qualitative
McLean 2017 10.1016/j.contraception.2016.08.010 USA: CA: San Francisco Bay Area General (female), Providers Mixed methods
McNicholas 2012 10.1016/j.whi.2012.04.008 USA: (unspecified) urban site Women seeking abortion services Quantitative
Melo 2015 10.1016/j.jpag.2014.08.001 USA: CO Young people (female) Qualitative
Melton 2012 10.1363/4402212 USA: UT: Salt Lake City Women seeking emergency contraception Quantitative
Merkatz 2014 10.1016/j.contraception.2014.05.015 USA: MO: St. Louis General (female) Quantitative
Michaels 2018 N/A USA: IA Women seeking abortion services Quantitative
Miller 2011 10.1016/j.contraception.2010.06.005 USA: PA Young people (mixed gender) Quantitative
Minnis 2014 10.1363/46e1414 USA: CA: San Francisco Young people (female) Mixed methods
Modesto 2014 10.1093/humrep/deu089 USA: CA: San Francisco General (female) Quantitative
Munsell 2009 print.ispub.com/api/0/ispub-article/9991 USA: TX: Galveston Providers Quantitative
Nelson 2017 10.1016/j.contraception.2017.09.010 USA General (female) Quantitative
Nettleman 2007 10.1016/j.jmwh.2006.10.019 USA General (female), Special social conditions Qualitative
Nguyen 2017 10.1016/j.jpag.2011.06.002 USA Providers Quantitative
Paul 2020 10.1016/j.ajog.2019.11.1266 USA: (unspecified) mid-west region General (female) Quantitative
Payne 2016 10.1111/jmwh.12425 USA: (unspecified) southeastern General (female) Qualitative
Peipert 2011 10.1097/AOG.0b013e31821188ad USA: MO: St. Louis General (female), Special social conditions Quantitative
Philliber 2014 10.1016/j.whi.2014.06.001 USA: CO, IA Providers Quantitative
Potter 2014a 10.1097/aog.0000000000002136 USA: NY: school- based health centers (SBHCs) and community health center Young people (female) Qualitative
Potter 2014b 10.1016/j.contraception.2014.06.039 USA: TX: El Paso, Austin Postpartum Quantitative
Potter 2017 10.1016/j.contraception.2014.01.011 USA: TX: Odessa, Austin, Edinburg, Dallas, Houston, El Paso Postpartum Quantitative
Powell-Dunford 2011 10.1016/j.whi.2010.08.006 USA General (female), Special social conditions Quantitative
Raifman 2018 10.1016/j.whi.2017.07.006 USA: MI, MO, NJ, UT general (female) Quantitative
Rey 2020 10.1016/j.contraception.2020.01.010 USA: VT General (female), PWID Quantitative
Rocca 2007 10.1016/j.ajog.2006.08.024 USA: CA: San Francisco Bay Area Young people (female) Quantitative
Roe 2016 10.1016/j.rmed.2016.10.012 USA: PA (online) Other special medical conditions Quantitative
Rubin 2010 10.1016/j.jpag.2015.09.001 USA: NY: NYC: Bronx General (female) Qualitative
Rubin 2015 10.1089/jwh.2009.1549 USA: NY: NYC: Bronx Young people (female) Qualitative
Sanders 2014 10.1371/journal.pone.0199724 USA Young people (male) Quantitative
Sanders 2018 10.1007/s10461-013-0422-3 USA: UT: Salt Lake City General (female) Quantitative
Sangi-Haghpeykar 2006 10.1016/j.contraception.2006.02.010 USA: TX: Houston General (female), Previously had abortions Quantitative
Sangraula 2017 10.1016/j.jpag.2016.11.004 USA: NY: NYC: Uptown Manhattan, Lower Bronx Young people (female) Qualitative
Sastre 2015 10.1080/13691058.2014.989266 USA: FL: Miami-Dade County General (mixed gender), Special social conditions Qualitative
Shih 2013 10.1177/1557988312465888 USA: CA: San Francisco General (mixed gender), Vasectomies Qualitative
Sittig 2020 10.1016/j.whi.2019.11.003 USA: PA (online) General (female), Special social conditions Quantitative
Spies 2010 10.1016/j.whi.2010.07.005 USA Young people (female), General (female) Qualitative
Stanek 2009 10.1016/j.contraception.2008.09.003 USA: OR Women seeking abortion services Quantitative
Stanwood 2009 10.1016/j.contraception.2005.05.020 USA General (female) Quantitative
Stein 2020 10.1016/j.jpag.2020.01.004 USA: NY: NYC: Bronx Young people (female) Quantitative
Stewart 2007 10.1016/j.jpag.2007.06.001 USA: CA: San Francisco Young people (female), Special social conditions Quantitative
Straten 2016 10.1007/s10461-016-1299-8 USA General (female) Quantitative
Sulak 2006 10.1016/j.contraception.2005.07.001 USA Providers Quantitative
Sundstrom 2015 10.1080/10410236.2016.1172294 USA: SC: Charleston General (female) Qualitative
Sundstrom 2016 10.1080/10810730.2015.1018650 USA Young people (female) Qualitative
Tanner 2008 10.1016/j.jadohealth.2008.02.017 USA: IN: Indianapolis Young people (female) Quantitative
Teal 2012 10.1016/j.contraception.2011.07.001 USA: CO Young people (female) Quantitative
Terrell 2011 10.1016/j.jpag.2011.02.003 USA: IN: Indianapolis Young people (female) Quantitative
Thorburn 2006 10.1300/J013v44n01_02 USA: CA Young people (female) Quantitative
Tung 2012 10.1080/07448481.2012.663839 USA General (mixed gender) Quantitative
Turok 2016 10.1016/j.contraception.2016.01.009 USA: UT: Salt Lake City Women seeking emergency contraception Quantitative
Tyler 2012 10.1097/AOG.0b013e31824aca39 USA: multiple sites Providers Quantitative
Venkat 2008 10.1007/s10900-008-9100-1 USA: NY: NYC General (female), Special social conditions Quantitative
von Sadovszky 2008 10.1016/j.whi.2008.01.004 USA General (female), Special social conditions Quantitative
Walker 2019 10.1080/03630242.2012.728190 USA: CA: Northern region Young people (female) Quantitative
Werth 2015 10.1016/j.ajog.2014.09.003 USA: MO: St. Louis General (female) Quantitative
Weston 2012 10.1016/j.ajog.2011.06.094 USA: IL: Chicago Young people (female), Postpartum Qualitative
Whitaker 2008 10.1016/j.contraception.2008.04.119 USA: PA: Pittsburgh Young people (female) Quantitative
White 2013 10.1016/j.whi.2013.05.001 USA: TX: El Paso General (female) Qualitative
Whittaker 2010 10.1363/4210210 USA: PA: Philadelphia Young people (mixed gender) Qualitative
Woo 2015 10.1016/j.contraception.2015.09.007 USA: MD: Baltimore General (female) Quantitative
Xu 2011 10.2147/ijwh.s57470 USA General (female) Quantitative
Yee 2010 10.1016/j.jadohealth.2010.03.014 USA: IL: Chicago Young people (female), Postpartum mixed methods

Table 1E.

Summary characteristics of articles included in the contraceptive values and preferences global systematic review which were conducted in countries in the WHO South-East Asia Region 2005-2020

Author year DOI Location Population Study design
Zafar 2006 10.1111/j.1447-0578.2006.00132.x Bangladesh: Tangail District: Kalihati sub-district General (female) Qualitative
Ahuja 2019 10.4103/jfmpc.jfmpc_676_19 India : Patiala, Punjab Province Young people (female) Quantitative
Das 2015 10.1071/SH15045 India: Delhi General (female), Special social conditions Qualitative
Hall 2008 10.1136/jfprhc-2014-101046 India: Maharashtra General (female) Qualitative
Jain 2016 10.7860/JCDR/2016/16545.7516 India: New Delhi Menstrual Issues Quantitative
Khokhar 2005 moam.info/determinants-of-acceptance-of-no-scalpel-vasectomy-medind_59d916e41723dd4e6be7785f.html India: New Delhi Vasectomies Quantitative
Meenakshi 2020 10.4103/jfmpc.jfmpc_1012_19 India: Jodhpur, Rajasthan Providers Quantitative
Neeti 2010 nihfw.org/Publications/pdf/HPPI_33(1),2010.pdf India: Delhi: Central district general (female) Qualitative
Patra 2015 10.1108/ijhrh-06-2014-0010 India General (female) Quantitative
Rizwan 2014 10.7860/jcdr/2014/8278.4714 India: northern General (male), Special social conditions Quantitative
Sharma 2018 pesquisa.bvsalud.org/portal/resource/pt/sea-185340 India: east Delhi General (female) Quantitative
Sherpa 2013 PMID: 24971113 India: Karnataka: Udupi District: Moodu Alevoor village General (female) Quantitative
Sood 2015 ijmch.org/home/indian-journal-of-maternal-and-child-health-volume-17-april—december-2015 India: Punjab, Amritsar General (female) Quantitative
Thulaseedharan 2018 10.2147/oajc.s152178 India: Trivandrum district, Kerala General (female) Quantitative
Valsangkar 2012 10.4103/0970-1591.102704 India: Karimnagar district, Andhra Pradesh General (mixed gender) Quantitative
Spagnoletti 2019 10.1080/17441730.2019.1578532 Indonesia: Yogyakarta General (female) Qualitative
Titaley 2017 10.1016/j.midw.2017.07.014 Indonesia: East Java, Nusa Tenggara Barat Provinces Providers Qualitative
Brunie 2019 10.1371/journal.pone.0216797 Multicountry: India: New Dehli; Nigeria: Ibadan General (female), Providers Qualitative
Cartwright 2020 10.12688/gatesopenres.13045.2 Multicountry: unspecified Young people (mixed gender), Special social conditions Mixed methods
Coffey 2006 10.1016/j.contraception.2005.10.017 Multicountry: Mexico: Cuernavaca; South Africa: Durban; Thailand: Khon Kaen General (mixed gender) Quantitative
Cover 2013 10.1016/j.contraception.2016.10.007 Multicountry: India: Lucknow, Uttar Pradesh; Uganda: Kampala General (mixed gender) Qualitative
Festin 2016 10.1093/humrep/dev341 Multicountry: Thailand, Brazil, Singapore, Hungary General (female) Quantitative
Hooper 2010 10.2165/11538900-000000000-00000 Multicountry: Australia; Brazil; France; Germany; Italy; Russia; Spain; United Kingdom; USA General (female) Quantitative
Machiyama 2018 10.1186/s12978-018-0514-7 Multicountry: Kenya: Nairobi, Homa Bay; Bangladesh: Matlab General (female), Special social conditions Quantitative
Xu 2014 10.1016/j.fertnstert.2011.08.019 Multicountry: China, Taiwan, Hong Kong, Indonesia, Malaysia, Pakistan, South Korea, Thailand Menstrual Issues Quantitative
Sapkota 2016 10.3389/fpubh.2016.00122 Nepal: Kapibastu General (female), General (male) Mixed methods
Shrestha 2014 10.3126/kumj.v12i3.13718 Nepal: Kathmandu: Dhulikhel General (mixed gender), Postpartum Quantitative
Santibenchakul 2016 10.5372/1905-7415.1003.485 Thailand: Bangkok General (female) Quantitative

Table 1A.

Summary characteristics of articles included in the contraceptive values and preferences global systematic review which were conducted in countries in the WHO African Region 2005-2020

Author year DOI Location Population Study design
Schaan 2014 10.2989/16085906.2014.952654 Botswana PLHIV Quantitative
Ajong 2018 10.1371/journal.pone.0202967 Cameroon: Biyem-Assi General (female) Quantitative
Thomson 2012 10.1186/1471-2458-12-959 Democratic Republic of the Congo: Idjwi Island General (female) Mixed methods
Alene 2018 10.1186/s12905-018-0608-y Ethiopia: Amhara PLHIV Quantitative
Asfaw 2014 10.1186/1471-2458-14-566 Ethiopia: Addis Ababa PLHIV Quantitative
Belda 2017 10.1186/s12913-017-2115-5 Ethiopia: Oromia Regional State, Bale Eco-Region General (female) Quantitative
Both 2015 10.1016/j.rhm.2015.06.005 Ethiopia: Addis Ababa General (female) Mixed methods
Davidson 2016 10.1007/s10995-016-2018-9 Ethiopia General (mixed gender), Special social conditions Qualitative
Endriyas 2018 10.1186/s12884-018-1731-3 Ethiopia: Southern Nations, Nationalities and People's Region General (female), Providers Mixed methods
Gebremariam 2014 10.1155/2014/878639 Ethiopia: Tigray: Adigrat Town, Tigray General (mixed gender), Providers Qualitative
Keith 2014 10.1016/j.contraception.2013.12.010 Ethiopia: Oromia Region (rural and peri-urban) General (female), Providers Qualitative
Tsehaye 2011 10.1155/2013/317609 Ethiopia: Tigray Region: Shire Indaselassie Town General (female) Quantitative
Weldegerima 2008 10.1016/j.sapharm.2007.10.001 Ethiopia: Fogera District: Woreta General (female) Quantitative
Adu 2018 10.4314/gmj.v52i4.3 Ghana: Central Region General (female) Quantitative
Agyei-Baffour 2015 10.1186/s12978-015-0022-y Ghana: Kumasi General (male) Mixed methods
Krakowiak-Redd 2011 PMID: 22574499 Ghana: Kumasi General (female) Quantitative
L'Engle 2011 10.1136/jfprhc-2011-0077 Ghana: Accra Women seeking emergency contraception Qualitative
Opare-Addo 2011 PMID: 21987939 Ghana: Kumasi General (female) Quantitative
Osei 2014 10.1363/4013514 Ghana: Accra General (mixed gender), Previously had abortions Qualitative
Rominski 2017 10.9745/GHSP-D-16-00281 Ghana: Kumasi, Accra General (female) Quantitative
Staveteig 2017 10.1371/journal.pone.0182076 Ghana: greater Accra General (female) Mixed methods
Teye 2013 PMID: 24069752 Ghana: Asuogyaman District General (female) Mixed methods
van der Geugten 2017 10.1007/s12119-017-9432-z Ghana: Bolgatanga municipality Young people (mixed gender), General (mixed gender) Qualitative
Hubacher 2013 10.1016/j.contraception.2013.03.001 Kenya: Nairobi Postpartum Quantitative
Hubacher 2015a 10.1016/j.contraception.2015.01.009 Kenya: Nairobi Postpartum Quantitative
Keesara 2017 10.1080/13691058.2017.1340669 Kenya: Nairobi Postpartum Qualitative
Mayhew 2017 http://dx.doi.org/10.1186/s12889-017-4514-2 Kenya PLHIV Mixed methods
Ndegwa 2014 PMID: 26859013 Kenya: Embu Pregnant Quantitative
Newmann 2013 10.1155/2013/915923 Kenya: Nyanza Province: Migori, Rongo, Siba districts: government-run HIV care and treatment clinics and patient support centers Providers, PLHIV Mixed methods
Odwe 2020 10.1016/j.conx.2020.100030 Kenya: Homa Bay County General (female), Special social conditions Quantitative
Patel 2014 10.1089/apc.2014.0046 Kenya: Nyanza Province: Kisumu East, Nyatike, Rongo, and Suba districts PLHIV, General (male) Qualitative
Roxby 2016 10.1136/jfprhc-2015-101233 Kenya: Nairobi General (mixed gender), PLHIV, Pregnant Qualitative
Ruminjo 2005 10.1016/j.contraception.2005.04.001 Kenya: Nairobi, Riruta, Thika General (female) Quantitative
Shabiby 2015 10.1186/s12905-015-0222-1 Kenya: Naivasha (rural), Mbagathi (urban) districts PLHIV, Postpartum, General (female) Quantitative
Shapley-Quinn 2019 10.2147/IJWH.S185712 Kenya: Kisuma; South Africa: Soshanguve General (female) Qualitative
RamaRao 2018 10.1111/sifp.12046 Kenya, Nigeria, Senegal Postpartum Mixed methods
Chipeta 2010 10.4314/mmj.v22i2.58790 Malawi: Mangochi district: Lungwena, Makanjira General (mixed gender), Young people (mixed gender) Qualitative
Haddad 2013 10.1016/j.contraception.2013.08.006 Malawi: Lilongwe PLHIV Quantitative
Haddad 2014 10.1016/j.ijgo.2014.03.026 Malawi: Lilongwe PLHIV Quantitative
O'Shea 2015 10.1080/09540121.2014.972323 Malawi: Lilongwe General (female), PLHIV, Postpartum Quantitative
Brunie 2019 10.1371/journal.pone.0216797 Multicountry: India: New Dehli; Nigeria: Ibadan General (female), Providers Qualitative
Burke 2014a 10.1016/j.contraception.2014.01.009 Multicountry: Senegal: Mbour, Thies, and Tivaouane; Uganda: Mubende, Nakasongola Providers Qualitative
Burke 2014b 10.1016/j.contraception.2014.01.022 Multicountry: Senegal; Uganda General (female) Quantitative
Callahan 2019 10.1371/journal.pone.0217333 Multicountry: Burkina Faso; Uganda General (female), General (male), Providers Mixed methods
Cartwright 2020 10.12688/gatesopenres.13045.2 Multicountry: unspecified Young people (mixed gender), Special social conditions Mixed methods
Chin-Quee 2014 10.1136/jfprhc-2013-100687 Multicountry: Kenya: Nairobi; Nigeria: Lagos General (female) Quantitative
Coffey 2006 10.1016/j.contraception.2005.10.017 Multicountry: Mexico: Cuernavaca; South Africa: Durban; Thailand: Khon Kaen General (mixed gender) Quantitative
Cover 2013 10.1016/j.contraception.2016.10.007 Multicountry: India: Lucknow, Uttar Pradesh; Uganda: Kampala General (mixed gender) Qualitative
Lendvay 2014 10.1016/j.contraception.2013.11.002 Multicountry: Kenya: Nairobi; Pakistan: Sindh, Punjab General (female) Quantitative
Machiyama 2018 10.1186/s12978-018-0514-7 Multicountry: Kenya: Nairobi, Homa Bay; Bangladesh: Matlab General (female), Special social conditions Quantitative
Montgomery 2010a 10.1007/s10461-009-9609-z Multicountry: South Africa: Durban, Soweto; Zimbabwe: near Harare General (female) Quantitative
Nel 2016 10.1371/journal.pone.0147743 Multicountry: Kenya; Malawi; South Africa; Tanzania General (female) Quantitative
Todd 2011 10.1007/s10461-010-9848-z Multicountry: Brazil: Rio de Janiero; Kenya: Kericho; South Africa: Soweto PLHIV Qualitative
Tolley 2014 10.9745/GHSP-D-13-00147 Multicountry: Kenya (peri-urban and urban sites); Rwanda (rural, peri-urban, and urban sites) General (female), Providers Qualitative
Urdl 2005 10.1016/j.ejogrb.2005.01.021 Multicountry: Austria; Belgium; Finland; France; Germany; Hungary; Netherlands; Poland; South Africa; Switzerland General (female) Quantitative
Woodsong 2014 10.1111/1471-0528.12875 Multicountry: Malawi: Lilongwe; Zimbabwe: Harare General (mixed gender), Providers Qualitative
Mayaki 2014 10.1080/02646838.2014.888545 Niger General (female) Quantitative
Aisien 2010 PMID: 20857796 Nigeria: Edo State: Benin-City General (female) Quantitative
Egede 2015 10.2147/PPA.S72952 Nigeria: Ebonyi State: Abakaliki General (female) Quantitative
Ezugwu 2019 10.1002/ijgo.13027 Nigeria: Enugu Postpartum Quantitative
Iyoke 2014 10.2147/PPA.S67585 Nigeria: Enugu General (mixed gender) Quantitative
Lanre-Babalola 2015 proquest.com/scholarly-journals/dynamics-knowledge-use-preference-birth-control/docview/1709681040/se-2?accountid=11752 Nigeria: Ibadan General (female) Quantitative
Okunlola 2006 10.1080/01443610600613516 Nigeria: Ibadan General (female), Young people (female) Quantitative
Olajide 2014 PMID: 25022145 Nigeria: Osun State; primary and secondary schools Young people (mixed gender), Other special medical conditions Quantitative
Orji 2005 10.1080/13625180500331259 Nigeria: Southwest Young people (mixed gender) Quantitative
Sodje 2016 10.1016/j.ijgo.2016.05.005 Nigeria: Edo, Delta, Anambra, Ebonyi, Abia states Postpartum Quantitative
Sunmola 2005 10.1080/09540120412331319732 Nigeria: Ibadan Young people (mixed gender) Quantitative
Ujuju 2011 10.1111/j.1466-7657.2011.00900.x Nigeria: Katsina state: Rimi, Katsina, Kaita; Enugu state: Nkanu West, Enugu East, Igbo-Etiti Providers, General (mixed gender) Qualitative
Kestelyn 2018 10.1371/journal.pone.0199096 Rwanda: Kigali General (female) Mixed methods
Shattuck 2014 10.1016/j.contraception.2014.02.003 Rwanda General (mixed gender), Vasectomies Quantitative
Leye 2015 FRENCH PMID: 26164961 Senegal: Diourbel region: Mbacke district General (female) Mixed methods
Crede 2012 10.1186/1471-2458-12-197 South Africa: Cape Town: Khaylitsha and Mitchell's Plain Postpartum, PLHIV Quantitative
de Bruin 2017 10.1080/09540121.2017.1327647 South Africa Young people (mixed gender) Qualitative
Harries 2019 10.1186/s12978-019-0830-6 South Africa: Western Cape General (female) Qualitative
Joanis 2011 10.1016/j.contraception.2010.08.002 South Africa: Durban General (female) Quantitative
Laher 2009 10.1007/s10461-009-9544-z South Africa: Soweto PLHIV Qualitative
Mahlalela 2016 10.11564/30-2-873 South Africa: Durban general (female) Qualitative
Morroni 2006 10.1016/j.contraception.2006.01.005 South Africa: Western Cape Province General (female) Quantitative
Ndinda 2017 10.3390/ijerph14040353 South Africa: Kwa-Zulu-natal (rural) General (mixed gender) Qualitative
Schwartz 2016 10.1177/0956462415604091 South Africa: Johannesburg General (mixed gender), PLHIV Qualitative
Smit 2006 10.1016/j.contraception.2005.10.019 South Africa: KwaZulu-Natal: Durban General (female), Special social conditions Quantitative
Mathenjwa 2012 10.3109/13625187.2012.694147 Swaziland: Lavusima special social conditions Qualitative
Ziyane 2006 10.4102/hsag.v11i1.213 Swaziland Young people (mixed gender) Qualitative
Bunce 2007 10.1363/3301307 Tanzania: Kigoma Region Vasectomies, General (mixed gender) Qualitative
Cooper 2019 10.1111/mcn.12735 Tanzania: Mara, Kagera General (mixed gender), Postpartum, Providers Qualitative
Rusibamayila 2016 10.1080/13691058.2016.1187768 Tanzania: Kilombero District General (mixed gender), Providers Qualitative
Sato 2020 10.1080/26410397.2020.1723321 Tanzania: Arusha Region General (female) Quantitative
Sheff 2019 10.1186/s12978-019-0836-0 Tanzania: Kilombero, Rufiji, and Ulanga General (mixed gender) Qualitative
Akol 2014 10.9745/ghsp-d-14-00085 Uganda: multiple sites Providers, General (mixed gender) Quantitative
Byamugisha 2010 10.3109/00016341003611220 Uganda: Kampala Women seeking emergency contraception Quantitative
Cover 2017 10.1363/3919513 Uganda: Gulu district, Mubende General (female) Quantitative
Higgins 2014 10.2105/AJPH.2007.115790 Uganda: Rakai District Young people (mixed gender) Qualitative
Kabagenyi 2016 10.11604/pamj.2016.25.78.6613 Uganda: Mpigi, Bugiri (rural) General (mixed gender) Qualitative
Kakaire 2016 10.3109/13625187.2016.1146249 Uganda: Kampala PLHIV Quantitative
Lester 2015 10.1016/j.contraception.2014.12.002. Epub 2014 Dec 12.; ID: 106 Uganda: Kampala Pregnant Quantitative
Mbonye 2012 10.1258/ijsa.2009.009357 Uganda: Central region (rural, semi-urban, and urban) PLHIV, General (mixed gender) Mixed methods
Nattabi 2011 10.1186/1752-1505-5-18 Uganda: Gulu health facilities Special social conditions, PLHIV Mixed methods
Paul 2016 10.3402/gha.v9.30283 Uganda: Central region (rural, semi-urban, and urban) Providers Qualitative
Polis 2014 10.1016/j.contraception.2013.11.008 Uganda: Rakai PLHIV Quantitative
Wanyenze 2013 10.1186/1471-2458-13-98 Uganda: Kampala PLHIV Qualitative
Montgomery 2010b 10.1186/1758-2652-13-30 Zimbabwe: Epworth General (female) Quantitative
van der Straten 2010 10.1783/147118910790290966 Zimbabwe: Harare Young people (female) Mixed methods
van der Straten 2012 10.1007/s10461-012-0256-4 Zimbabwe: Harare: peri-urban township General (female) Mixed methods

Table 1F.

Summary characteristics of articles included in the contraceptive values and preferences global systematic review which were conducted in countries in the WHO Western Pacific Region 2005-2020

Author year DOI Location Population Study design
Bateson 2016 10.1111/ajo.12534 Australia: New South Wales: Queensland General (female) Quantitative
Dixon 2014 10.3109/13625187.2014.919380 Australia General (female) Qualitative
Garrett 2015 10.1186/s12905-015-0227-9 Australia Young people (female), Providers Qualitative
Inoue 2017 10.1136/jfprhc-2014-101132 Australia: New South Wales General (female) Qualitative
Kelly 2016 10.1136/jfprhc-2015-101356 Australia: New South Wales: Sydney Providers Qualitative
Knox 2012 10.1016/j.socscimed.2012.12.025 Australia General (female), Providers Quantitative
Knox 2013 10.2165/11598040-000000000-00000 Australia General (female) Quantitative
Larkins 2007 10.5694/j.1326-5377.2007.tb01025.x Australia: New South Wales: Queensland Young people (mixed gender), Special social conditions Quantitative
Mills 2006 10.1080/07399330600629468 Australia General (female) Qualitative
Olsen 2014 10.1186/1472-6874-14-5 Australia PWID Qualitative
Ong 2013 10.1363/4507413 Australia: Victoria General (female) Quantitative
Philipson 2011 10.1089/jwh.2010.2455 Australia General (female) Quantitative
Russo 2020 10.1080/13691058.2019.1643498 Australia: Victoria: Melbourne Special social conditions, General (mixed gender) Qualitative
Watts 2014 10.1093/jrs/feu040 Australia: Victoria: Melbourne Providers, Young people (female), Pregnant Qualitative
Weisberg 2005a 10.1016/s1701-2163(16)30462-5 Australia: New South Wales: Queensland; South Australia General (female) Quantitative
Weisberg 2013 10.3109/13625187.2013.777830 Australia General (female), providers Quantitative
Weisberg 2014 PMID: 16113711 Australia: New South Wales General (female) Quantitative
Wigginton 2016 10.1136/jfprhc-2015-101184 Australia Young people (female) Qualitative
Wong 2009 10.1016/j.contraception.2009.03.021 Australia: Victoria General (female) Quantitative
Thyda 2015 10.1097/QAI.0000000000000635 Cambodia: Chhouk Sar PLHIV Quantitative
Hou 2010 10.1016/j.ijgo.2009.09.020 China: Guandong Province: Enping City Special social conditions Quantitative
Nian 2010 PMID: 21073077 China: Sichuan Province Providers, General (mixed gender), Vasectomies Qualitative
Cartwright 2020 10.12688/gatesopenres.13045.2 Multicountry: unspecified Young people (mixed gender), Special social conditions Mixed methods
Crosby 2013 10.1258/ijsa.2008.008120 Multicountry (online): mostly USA; Australia; Canada; New Zealand; United Kingdom; Western Europe General (mixed gender) Quantitative
Festin 2016 10.1093/humrep/dev341 Multicountry: Thailand, Brazil, Singapore, Hungary General (female) Quantitative
Gemzell-Danielsson 2012 10.1016/j.contraception.2012.06.002 Multicountry: Australia, Brazil, Canada, France, Germany, Korea, Mexico, Spain, Sweden, United Kingdom Providers Quantitative
Xu 2014 10.1016/j.fertnstert.2011.08.019 Multicountry: China, Taiwan, Hong Kong, Indonesia, Malaysia, Pakistan, South Korea, Thailand Menstrual Issues Quantitative
Roke 2016 10.1071/HC15040 New Zealand General (female) Quantitative
Rose 2011 10.1089/jwh.2010.2658 New Zealand: Wellington Women seeking abortion services, Young people (female) Qualitative
Terry 2011 10.1177/0959353511419814 New Zealand Vasectomies Qualitative
Gupta 2017 10.1111/ajo.12596 Papua New Guinea: Madang Island, Milne Bay (mainland) General (female) Quantitative
Lee 2019 10.5468/ogs.2019.62.3.173 South Korea Providers Quantitative
Park 2011 10.2147/IJWH.S26620 Vietnam: Thai Nguyen, Khanh Hoa, Vinh Long provinces General (female) Quantitative

Studies were conducted in 93 countries (Fig. 2). Fifty-one articles reported data from multiple countries, mostly in Europe; 10 articles were from the 11-country European CHOICE study. All 6 WHO regions1 were represented: the African Region (AFRO) (n = 103), the Region of the Americas (PAHO) (n = 172), the South-East Asia Region (SEARO) (n = 27), the European Region (EURO) (n = 99), the Eastern Mediterranean Region (EMRO) (n = 14), and the Western Pacific Region (WPRO) (n = 34). A plurality of articles reported studies that took place in the USA (n = 139), followed by the United Kingdom (n = 29) and Australia (n = 23). Most articles reported studies that were primarily conducted in high-income countries (n = 250), but studies were also conducted in upper-middle (n = 67), lower-middle (n = 78), and low- (n = 44) income countries as classified by the World Bank. (Note: numbers do not add to 423 because of studies taking place in multiple countries.)

Fig. 2.

Fig 2

Countries where studies presenting primary data on contraceptive values and preferences were conducted. Sources were published between January 2005 and July 2020. Green indicates data available; gray, data not identified.

While most articles presented quantitative findings (269/423, 63%), 121 (29%) used qualitative methods, and 34 (8%) used mixed- or multimethods. A range of study designs and methods were used: the most common quantitative design was cross-sectional surveys (n = 190), followed by qualitative in-depth interviews (n = 116) and focus group discussions (n = 69); however, prospective cohort studies, randomized trials, and other observational designs were also represented. The mixed/multimethods studies generally involved a cross-sectional quantitative survey with additional qualitative analysis of open-ended survey responses or additional data collection from focus group discussions or in-depth interviews.

3.3. Risk of bias varied by study design.

We generally found that studies involving qualitative analyses presented the 9 rigor domains assessed by the Critical Appraisal Skills Programme qualitative checklist. Cross-sectional studies generally did not include comparison groups (22%); of those which did, only a few compared across sociodemographic characteristics (16%) or outcomes (5%). Studies employing quantitative analyses sometimes followed participants over time (36%), used a control or comparison group (39%), or compared outcomes pre- and postexposure to a contraceptive method (19%). Quantitative studies rarely randomly selected participants for assessment (15%) or randomly allocated participants to the intervention or control arm (if applicable) (14%). Of quantitative studies that followed participants over time (n = 90), 55 (61%) had a follow-up rate of 80% or more. Of quantitative studies including a control or comparison group (n = 106), 35 (33%) compared groups across sociodemographic characteristics and 6 (5%) compared groups on outcome measures at baseline.

The articles explored the values and preferences of contraceptive users in the general female population (n = 220), general male population (n = 10), general population (not disaggregating between male and female participants) (n = 44), women with specific reproductive health experiences (n = 52), adolescents and young adults (n = 76), people living with HIV (n = 22), sex workers (n = 6), transmasculine individuals (n = 1), people who inject drugs (n = 2), and those living in humanitarian contexts (n = 4), as well as perspectives of health workers (n = 53) (Table 2). (Note: numbers do not add to 423 because some articles included perspectives from multiple population groups.) Separate systematic reviews examining the values and preferences of women with specific reproductive health experiences (i.e., pregnant, postpartum, seeking emergency contraception, or seeking abortion) [9], adolescents and young adults [7], people living with HIV [10], other end-users in specific circumstances (i.e., sex workers, transmasculine individuals, people who inject drugs, and those living in humanitarian contexts) [8], and health workers [11] are published in this same journal issue.

Table 2.

Number of articles included in the contraceptive values and preferences global systematic review that provide data on different populations 2005-2020

Population category Number of articlesa (% out of 423 total included articles)
General population
Female contraceptive users 220 (52%)
Male contraceptive users 10 (2.4%)
Both male and female (not disaggregated by gender) 44 (10.4%)
Women with specific reproductive health experiences
Women who are nulliparous 4 (0.9%)
Women who are pregnant 7 (1.7%)
Postpartum women 23 (5.4%)
Women seeking abortion services 7 (1.7%)
Women seeking emergency contraception 5 (1.2%)
Women who previously had abortion(s) 6 (1.4%)
Adolescents and young adults
Female young people 55 (13%)
Male young people 2 (0.5%)
Both male and female (not disaggregated by gender) 19 (4.5%)
People in specific social conditions or humanitarian settings
People living with HIV 22 (5.2%)
Sex workers 6 (1.4%)
Transmasculine individuals 1 (0.2%)
People who inject drugs 2 (0.5%)
Those living in humanitarian contexts 4 (0.9%)
Health workers 53 (12.5%)
a

Studies that reported any findings on contraceptive values and preferences for this specific population group. Note that studies often reported data for multiple population groups, so percentages do not add up to 100.

Included articles mentioned end-users' and health workers’ values and preferences related to all of the methods covered by WHO's guidelines, including male condoms (n = 161), female condoms (n = 41), oral contraceptive pills, i.e., combined oral contraceptive pills (n = 204) and progestogen-only pills (POP) (n = 105), intrauterine devices (IUD) or hormone-releasing intrauterine systems (IUS) (n = 221), implants (n = 139), injectable contraceptives (n = 140), diaphragm (n = 37), vaginal ring (n = 82), transdermal patch (n = 74), male sterilization or vasectomy (n = 39), female sterilization or tubal ligation (n = 72), fertility awareness-based methods (e.g., rhythm method, calendar method) (n = 64), emergency contraception (n = 42), withdrawal (n = 67), and other contraceptive methods, including abstinence, lactational amenorrhea method, and other (often unspecified) traditional methods (n = 42).

3.4. Commonly reported values among contraceptive users

Contraceptive users across geographic regions and population subgroups consistently prioritized several thematic issues (Table 3). Overall, people wanted choice: they desired a range of options from which to choose, especially since different people preferred different methods at different times for different reasons.

Table 3.

Common themes related to values and preferences, listed in order of frequency, described by articles included in the contraceptive values and preferences global systematic review 2005-2020

Values and preferences themes Number of articles (% out of 423 total included articles)
Side effects and safety 246 (58.2%)
Method effectiveness/reliability 191 (45.2%)
Ease, duration, or frequency of use 179 (42.3%)
Noninterference in sex and partner relations 141 (33.3%)
Effects on menstruation 83 (19.6%)
Cost/affordability 71 (16.8%)
Control and autonomy 67 (15.8%)
Private, discreet, or covert use 50 (11.8%)

Side effects and safety was the most commonly reported issue (mentioned in 246 articles) when considering contraceptive methods. Contraceptive users and health workers were concerned about pain. They desired minimal side effects or adverse events (relating to changes in libido, bleeding, menstrual cycles, acne, weight gain, etc.); if these were unavoidable, they wanted to be able to anticipate, manage, and tolerate side effects. Women often asked how commonly used contraceptive methods were, and how safe or healthy they were.

Method effectiveness and reliability were the next most commonly reported (mentioned in 191 articles), especially for preventing pregnancy (e.g., “security in not getting pregnant” [36], “having had a false alarm [about pregnancy] in the past” [37]), but also for providing dual protection against HIV and other STIs [38]. Women in some studies expressed interest in contraceptive methods that were effective, despite experiencing uncomfortable side effects like vomiting or diarrhea. Participants expressed varying acceptability levels for percent efficacy—or conversely, varying tolerance levels for likelihood of contraceptive failure.

Ease and duration/frequency of use (mentioned in 179 articles) was also very important. Many people desired contraceptive methods that were comfortable or convenient to use. Conversely, others expressed fears of the contraceptive method “falling off” [39] or forgetting to use or administer it. One hundred forty-four articles mentioned accessibility as a factor in their contraceptive preference, considering logistical issues in getting advice on, obtaining, maintaining, or changing contraceptive methods. Reversibility was very important to current and hypothetical contraceptive users (mentioned in 73 articles), both in terms of duration of contraceptive effectiveness and frequency of use (whether taken once a day, administered weekly or monthly or longer, or a permanent contraceptive method) and how difficult it was to start, switch, or stop the contraceptive method (e.g., stop taking a daily oral contraceptive pill versus getting an IUD removed). Women preferred choosing a method that “they are in control of stopping” [40]. For many women, it was important that they be able to resume fertility immediately after discontinuation or at least that using a contraceptive method for a period of time would not “affect the ability to have children in the future” [41].

A contraceptive method's noninterference in sex and partner relations was valued as well, mentioned in 141 articles. Contraceptive users often reported considering whether they or their partner(s) could feel the contraceptive method/device during intercourse, and how the contraceptive method affected the spontaneity, pleasure, and frequency of sex. Partner's influence towards women's contraceptive choice was also highlighted, where oftentimes “[m]en's disapproval over contraceptive use restricted preferences for women” [42], particularly in low- and middle-income countries regarding “non-natural” or hormonal contraceptives. Even in the USA, though, young women mentioned using withdrawal because of their male partners, though it “did not align with their own contraceptive desires,” since using a condom would imply lack of trust or relationship intimacy and they were embarrassed about using withdrawal as a contraceptive method [43].

Women were concerned about the impact of hormonal contraceptives on menstruation (mentioned in 83 articles), whether they desired regular menstrual cycles (to alleviate dysmenorrhea) or amenorrhea (to stop menstrual bleeding altogether for a specified time) or pain relief during menses; for example, a multimethod study in the US found contraceptive choice linked to menstrual control, suppression, and symptoms [44]. Some preferred “natural” or “nonartificial” nonhormonal methods in order to retain menstruation as a tangible symbol of health and fertility [45].

Cost—the financial burden to pay for the contraceptive method itself and the services of a health worker, in addition to time and transport/distance—was important to users (reported in 71 articles). Two-thirds of the mentions of cost/affordability/accessibility appeared in articles originating from the USA and other high-income countries, with two-thirds of such articles (29/45, 64%) discussing LARCs. However, among articles that ranked the contraceptive attributes that end-users considered important, cost/affordability usually ranked below effectiveness and side effects.

In 67 articles, people expressed the desire to have a sense of control and autonomy over contraceptive decision-making or usage. For example, one article noted that users wanted to make the choice of birth control method that was “right for them when given the proper information and options” [36]. In choosing a contraceptive method, women also considered whether they needed a health worker to insert/remove or administer the method or if they could self-administer—and what training or education was needed prior to use (e.g., demonstration, training, supervision, product storage, waste management).

Fifty articles highlighted that women also wanted the ability to use a contraceptive method discreetly, privately, or covertly, without others—whether partners, family members, or community members—being able to discern which, if any, contraceptive method they were using. This is particularly significant for contraceptive methods that may be easily observable by others (e.g., patches, sub-dermal implants), for which contraceptive visibility could jeopardize the end-user's physical safety in some extreme cases [46].

Contraceptive values and preferences varied across the 6 WHO regions. Across the 3 regions in which included articles were most commonly conducted (AFRO, EURO, and PAHO), clients most typically reported side effects to be the most important issue when deciding which contraceptive method to use. The least commonly reported feature was cost/access in AFRO, privacy/discretion/covert use in PAHO, and control/autonomy in EURO. In AFRO, EURO, and PAHO, the most preferred options of contraceptive methods were the injection, pill, and IUD. The least preferred choice in PAHO and EURO was male sterilization, while the patch was least preferred in AFRO.

Contraceptive values and preferences also varied by country income level as classified by the World Bank. Across all income levels, side effects followed by effectiveness, ease of use, and duration were the most commonly reported issues considered by clients when deciding what contraceptive method to use. In high- and upper-middle-income countries, privacy/discretion/covert use was the least commonly reported factor, while control/autonomy was the least commonly reported factor in low- and lower-middle income countries. Where studies reported rankings of contraceptive methods, the most preferred contraceptive choice was IUDs in high-income countries, male condoms in upper-middle-income countries, the combined oral contraceptive pill in lower-middle-income countries, and injectable contraceptives in low-income countries, while the least preferred contraceptive method was male sterilization in high-income countries and the patch in lower-middle and low-income countries.

3.5. Preferences for specific contraceptive methods

Preferences for specific contraceptive methods varied by country and population subgroup. Preferences depended on people's knowledge of contraceptive methods—both knowledge of what options are available, and general awareness of how those methods work.

Oral contraceptive pills and male condoms are 2 of the predominant methods globally, according to an international cross-sectional survey on women’s attitudes regarding hormonal contraception [47]. Oral contraceptive pills accounted for around half of all contraceptive users and were typically the first mode of contraception ever used by women. Condoms and withdrawal (coitus interruptus) were often used alongside or as backup for other contraceptive methods at various times throughout the life course, especially for those who had had bad experiences with other contraceptive methods. Use of these methods was frequently dependent on perceived relationship commitment and stability. Use of emergency contraception correlated strongly with the individual user's (or health worker's) view of when life begins.

Study participants often contrasted modern (hormonal) with traditional (“natural,” often barrier) contraceptive methods. Women in some studies described distrust in hormonal contraception and wanting to “take a break” or “detox” [48] from their contraceptive method. When considering intrauterine contraception or vaginal rings, many expressed negative feelings, concerns, fears, or discomfort with having “something in [my] body” [49], the notion or sensation of a “foreign body” or “foreign object” [50], or having something potentially “get lost inside of me” [51]. Among quantitative studies, between 22% [50] and 53% [52] of participants reported these types of IUD-related concerns.

Most contraceptive users wanted a contraceptive method that fit into their lifestyle, and that was supported by their culture, religious beliefs, government, and community norms. Many people used familiarity to choose a contraceptive method, asking questions like, “Do I know anyone else who uses it?” [27]. In choosing a method, people often used the process of elimination, determining what contraceptive methods they did not want to use based on their own past personal experiences or “the stories of close friends or family, whose experiences were often valued as if they were a women's own” [53]. However, once a contraceptive method was chosen, people tended to have high satisfaction with (ranging from 42.5% among women experiencing idiopathic menstrual bleeding after a 3-month trial using combined oral contraceptive pills [54] to 100% among 24–45-year-old women using the implant [55], with a majority of quantitative studies measuring satisfaction, likelihood of recommendation to others, or desire to continue reporting in the 80%–95% range) what they chose.

3.6. Role of counseling in contraceptive choice

Counseling plays an important role in the selection of contraceptive method. Seventy-four of the included articles mentioned the impact of counseling or interactions with health workers on contraceptive choice. Several studies showed that counseling can cause a substantial percentage (33%–50%) of women to change their contraceptive method selection and that it can enable undecided women to make a selection. Research has particularly focused on the effect of counseling in moving women from an intention to use oral contraceptive pills to trying another method, such as the patch or ring [20,21,56].

Ten articles came from one large multicountry study: the Contraceptive Health Research Of Informed Choice Experience (CHOICE) study [2029]. The CHOICE study was conducted between 2009 and 2010 among 18,787 women in 11 countries: Austria, Belgium, the Czech Republic, Slovakia, the Netherlands, Poland, Russia, Sweden, Switzerland, Ukraine, and Israel. Women who expressed an interest in combined hormonal contraceptives were recruited into the study and asked about their contraceptive preferences. Health workers then used standardized approaches to counsel women on the pill, the patch, and the ring. Women's final contraceptive selection was recorded along with their reasons for this preference and their perceptions of the attributes of each method. Participants described a wide range of preferences for contraceptive method and rationale, with the greatest variability explained by country of residence, followed by health workers’ gender, age, and more frequently recommended method [20]. Preference choice was also associated with the woman's age, educational level, prior unintended pregnancy experience, relationship status, and last contraceptive method. Prior to entering the study, women reported using combined oral contraceptive pills (42%), condoms (25%), and natural family planning (6%); 10% were not using any contraceptive measures [21]. At the start of the study, before receiving counseling, women's contraceptive intentions leaned toward the pill (52%), with only 5% intending to use the patch and 8% the ring; 10% wanted to use another method, and 26% were undecided. Nearly half of the counseled women selected a contraceptive choice different from the method they originally intended to use [20]. After counseling, women chose the pill slightly less (51%) and were more likely to select alternative methods like the patch (8%) and the ring (30%), though the distribution varied by country [21].

Among women choosing between the pill, patch, and ring in the European CHOICE study [23,25,26], intensive counseling significantly decreased the proportion of undecided women and significantly increased the proportion of women choosing the ring (from less than 10% pre-counseling to 23.8%–42.6% postcounseling, p < 0.001) though pill and patch intention/usage remained fairly consistent (around 50% and less than 10% respectively). Women who stayed with oral contraceptive pills cited ease of use and familiarity as their primary reasons, while women who switched to the patch and ring cited reasons like ease of use, decreased frequency of use (and thus less opportunity to forget, i.e., lower probability of omission), and effectiveness when experiencing vomiting/diarrhea/illness. Other than the European CHOICE study, several other papers provided information on the value and role of counseling [[56], [57], [58], [59], [60], [61]62].

Contraceptive users typically felt they should make the final decision about which contraceptive method they should use but appreciated health worker recommendations and assistance in determining the best method. They preferred caring, less formal relationships with their health workers and prioritized access to comprehensive information, including about alternative methods and side effects, presented both verbally (e.g., face-to-face) and in writing (e.g., internet, books, pamphlets). Before counseling, users were often dissatisfied with the information they had received about family planning methods and less than half reported a high level of confidence in their knowledge of the risks, benefits, and side effects, Clients preferred health workers who engaged with them in “an interactive, appropriately targeted manner” [63], taking into account contextual factors that could influence method choice and giving messages that included personal decision-making language (informative but not commanding). Younger women were more accepting of medical opinion, while older women rejected medical interference in contraceptive decisions and could be quite critical of medical practitioners and their practices. Training and counseling were also important to address users' reservations and concerns. For methods that are new to a user, clients reported that it was helpful to receive practical guidance and support from health workers. For example, adolescents at a family planning clinic in the USA were given demonstrations using sample vaginal rings and diagrams of the vagina; the first time they used the ring, they self-inserted at the clinic, sometimes with the health worker's help, and thereafter at home [64].

4. Discussion

In this global review, we found a large literature documenting diverse values and preferences about contraceptive methods. Across 423 articles from 93 countries in all regions of the world, we found that values centered on themes of choice, ease of use, side effects, and effectiveness. Many users also considered factors such as cost, availability, interference in sex and partner relations, the effect of hormonal contraceptives on menstruation, and interactions with health workers as aspects they valued in their decisions. Preferences for specific contraceptive methods varied between individual women, as well as across settings, geographic regions, cultures, population subgroups, and which options were considered or available. Users generally reported satisfaction with (and more accurate knowledge about) the methods they were using.

Family planning counseling can play an important role in clients' choice of contraceptive method. Contraceptive users were generally open to discussion about options, risks and benefits, timing, and side effects, though they usually wanted to personally make their own decision with input from health workers and from their partner(s), family, and community. Health workers require training to be able to provide complete, accurate information and provision of all potential method choices to their clients.

Studies were diverse across populations, geographic settings, contraceptive methods, and study designs. The majority of studies were conducted among adult or adolescent women in the general population. Fewer studies were conducted among women with specific demographic, health, or social considerations. While there were a small number of studies among men, most focused on male-controlled methods of contraception rather than covering contraceptive methods more broadly. This perhaps does not reflect the full potential for male involvement in family planning programs as clients, supportive partners, and agents of change [65]. While studies most commonly came from the USA, Europe, and Australia, there was representation from all regions of the world. However, the diversity of populations and specific contraceptive methods covered prevented us from being able to make definitive comparisons of values and preferences across regions. We identified articles on all 26 contraceptive methods covered by the WHO guidelines, and articles covered a range of appropriate quantitative and qualitative study designs. In these regards, we found few obvious gaps in the literature. We also conducted more focused reviews to delve into the values and preferences of several populations of interest [711], using subsets of articles identified in this global review.

Our review has some limitations. While we attempted to conduct a comprehensive search, there was some inherent subjectivity in determining what counted as a study of values and preferences, and we thus may have missed some articles that should have been included. For example, we included only one article on values and preferences of transgender people; however, a recent review also examines perspectives of this population in more detail [66]. We also encountered significant challenges synthesizing such a complex topic at the global level. Regardless of study design, the investigators of specific studies often framed their questions around a limited number of values and preferences, so the themes we discuss in this review (presented by frequency of mention in the 423 included articles) may in part reflect the values and preferences most commonly queried, and some studies explored only a very select set of values/preferences. Our findings are ultimately limited by what was presented in the included articles. Finally, quality of the included studies varied (e.g., some studies had very small sample sizes, and others had nonrepresentative samples, limiting generalizability), and our overall findings are only as strong as the studies on which they are based.

Family planning programs around the world share the goals of improving access to effective contraceptive methods and supporting the reproductive rights of women and men. WHO human rights guidelines recommend ensuring accessibility, acceptability, meaningful participation, and informed decision-making in the provision of contraceptive information and services [67]. Understanding values and preferences that end-users and health workers hold towards different contraceptive methods will help to inform the development of such rights-based, person-centered services that support contraceptive users and their partners in making decisions that are right for them.

In summary, contraceptive users value having a range of contraceptive methods from which to choose and prefer methods that are efficacious, easy to use, and have few side effects. Users desire control over the final choice of which contraceptive method to use, with the guidance of health workers who explore their values and preferences. They want comprehensive information about available methods and side effects. This review uncovered wide variability in values and preferences within and across studies. Context and available options shape people's values and preferences, emphasizing the need for high-quality counseling

Data request

An online repository of data abstracted from included articles is provided in the Appendix. For specific full-text articles or additional information, please contact the corresponding author.

Acknowledgments

We would like to thank the 2014 WHO Medical Eligibility Criteria for Contraceptive Use Guidelines Development Group and 2016 WHO Technical Consultation on Hormonal Contraception and HIV Group for their inputs. We also thank the Johns Hopkins Bloomberg School of Public Health and School of Medicine graduate students, staff, and faculty (Melissa Alamo, Afia Amoah, Anne Burke, Anita Dam, Priyanka Das, Amalia Debrosse, Avani Duggaraju, Nicole Garbarino, Laura Graf, Belinda Jivapong, Huneid Kautsar, Jingjia (Cynthia) Li, Jessica Lin, Shea Littlepage, Jaime Marquis, Habibat Oguntade, Shristi Pandey, Kate Perepezko, Molly Petersen, Caitlin Quinn, Tasfia Rahman, Kathleen Ridgeway, Eric Rodriguez, Joseph (Gregory) Rosen, Haneefa Saleem, Komal Soin, and Jeslyn Tengkawan) and colleagues from the United States Centers of Disease Control and Prevention Division of Reproductive Health (Kate Curtis, Isabel Morgan, and Angeline Ti), World Health Organization (Antonella Lavelanet) and elsewhere (Christina Ge, Rachel Logan, and Jessika Ralph) who contributed to the searching, screening, and data abstraction process.

Footnotes

Declaration of competing interest: None.

✰✰

Funding: This manuscript was developed with the support of the UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), a cosponsored program executed by the World Health Organization (WHO). This manuscript is made possible by the generous support of the American people through the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) through an interagency agreement with the United States Agency for International Development (USAID), cooperative agreement #No. AID-OAA-A-15-00045. The contents of this paper are the sole responsibility of the authors and do not necessarily reflect the views of USAID or the United States Government.

1

The World Health Organization comprises of 150 country offices and other offices around the world serving 194 Member States across six regional offices, https://www.who.int/about/structure.

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.contraception.2022.04.011.

Appendix. Supplementary materials

mmc1.xlsx (742KB, xlsx)
mmc2.zip (927.2KB, zip)

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