PSP Family Planning Programs: Getting the Most for the Money

Publication date: 2004

Family Planning Programs: Getting the Most for the Money V I E W P O I N T S At a time when funding for family planning programs is shrinking, it is important for donors to know how to get the most change in contraceptive prevalence per dollar spent. By some estimates, roughly half of family planning program funds, net of labor costs and capital outlays, are used to subsidize contraceptive prices.1 Price subsidies may serve as an important source of income support for fami- lies, but it is not clear they have been cost-effective in in- creasing contraceptive use. Although researchers have stud- ied the effect of contraceptive prices on contraceptive demand (commonly measured in terms of price elastici- ty), virtually none have compared the cost-effectiveness of contraceptive price subsidies to alternative expenditures on quality, promotion or distribution. Lacking the data that such research could provide, donors and managers have designed programs around the little in- formation that is available. In this case, it has often meant using estimates of price elasticity to argue for the subsi- dization of contraceptive supplies. Harvey, for instance, used the results of a regression of social marketing condom sales against social marketing condom prices to advance the com- monly cited “1% rule” of contraceptive pricing—one couple- year of contraceptive protection should cost less than 1% of per capita income or gross national product.2 These types of arguments for price subsidies have two faults. First, the research on which they are based typical- ly assumes that contraceptive users are incapable of switch- ing brands or methods. Harvey, for instance, assumed that a drop in social marketing brand condom sales represent- ed a decrease in contraceptive prevalence. In reality, con- sumers of contraceptives, like consumers of most other things, may substitute one brand or method for another when prices or other product differences suit them. Such research, then, may overestimate the importance of con- traceptive price as a determinant of overall use. The second fault with these arguments for price subsi- dies is more critical. Even if contraceptive use were extremely sensitive to price, that alone would not justify price subsi- dies. To make wise decisions about pricing, we need to know the cost-effectiveness of price subsidies relative to the cost- effectiveness of expenditures on other program activities. BARRIERS TO CONTRACEPTIVE USE At least six components contribute to the cost of contra- ception for users: the monetary cost of purchasing con- traceptives; the search cost of acquiring information about methods and where to purchase them; the time and trav- el costs of obtaining them; the costs associated with side effects of use; the variety-constraint cost of not getting one’s preferred method; and the psychic costs of using contra- ceptives despite perceived social disapproval.3 To reduce these costs and increase use, family planning programs divide their resources among efforts to subsidize prices, increase quality, promote contraceptive use and dis- tribute methods. Price subsidies reduce the direct mone- tary cost of purchasing contraceptives. Money spent to en- hance the quality of contraceptive supplies and services reduces side-effect costs, variety-constraint costs and, in the case of method switching, all the original costs associ- ated with finding and purchasing a contraceptive method. Resources used for promotion—which includes informa- tion, education and communication efforts and behavior change communication activities—reduce the search and psychic costs of use. Expenditures on distribution reduce search and travel costs. Each of these types of expenditures thus reduces one or more of the costs of contraceptive use. We want to know which of these costs is the most critical barrier to contraceptive use, and which category of ex- penditure most reduces the cost per unit of funding by a donor. Given the disproportionate allotment of program funds to price subsidies, one would assume the existence of sub- stantial evidence that direct monetary costs are a signifi- cant barrier to contraceptive use. However, in all 56 coun- tries with the relevant Demographic and Health Survey (DHS) data, fewer than 3% of married women not prac- ticing contraception report that contraceptive prices are the reason for their nonuse. Moreover, in the 19 countries with relevant DHS data, fewer than 3% of married women who have discontinued contraceptive use cite price as the reason. This is true even in countries (Indonesia, for ex- ample) that have experienced severe contraceptive price shocks. When asked the most important barrier to use, most women report lack of knowledge about contraceptives, so- cial opposition to their use or concerns about possible health side effects.4 Still, surveys cannot convey the full significance of price, given that highly subsidized supplies are available to many of those surveyed. Moreover, many respondents who are uninformed about contraceptives or not inclined to use them would not report price as a barrier to use, even if it could become one in the future. So although the surveys cast doubt on the importance of price as a determinant of contraceptive use, the unreliability of survey responses re- inforces the need to measure price elasticity of demand from the actual behavior of contraceptive users. 134 International Family Planning Perspectives Gaverick Matheny is a graduate student, Department of Popu- lation and Family Health Sciences, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA. By Gaverick Matheny 135Volume 30, Number 3, September 2004 Table 1 lists studies published between 1988 and 2003 on the price elasticity of contraceptives.10 The only stud- ies to have measured the overall-price elasticity of current contraceptive use are based on longitudinal or cross-sec- tional data examined through regression analyses. These studies place price among a number of other variables ex- pected to affect contraceptive use, such as education, age, religion, ideal number of children and so on. The inde- pendent effect of price on use is then isolated from these other variables to establish price elasticities. Of the five studies to measure overall elasticity, elastici- ties ranged from 0 to 0.15.11 That is, for every 100% increase in mean or median contraceptive prices, contraceptive use decreased by 0–15%. These results are consistent with two other studies that estimated the overall-price elasticity of fertility, rather than contraceptive use. Schultz estimated that the price elasticity of fertility in a sample of countries was 0.05.12 Pritchett estimated the price elasticity of fertil- ity in the Matlab project in Bangladesh as 0.06–0.17.13 PRICE SUBSIDIES Two of the studies allow us to make educated guesses about the cost-effectiveness of price subsidies in the unique lab- oratory provided by Indonesia. Between 1991 and 1997, contraceptive prices doubled in real terms because of the financial crisis, allowing us to measure elasticities over broad price ranges. Contraceptive use was barely affected, how- ever, even among those paying 2% of their per capita in- PRICE ELASTICITY The price elasticity of demand for a good is the proportion- ate change in the quantity demanded of that good relative to a proportionate change in its price. Some price elasticity stud- ies of contraceptive use measure the decrease in consump- tion as a continuous variable, such as contraceptive sales. Others measure the decrease in consumption as a dichoto- mous variable, such as the use or nonuse of contraception. Two types of price elasticity are worth distinguishing: “own-price elasticity,” the percentage change in sales of (or number of respondents using) a particular brand or method, divided by the percentage change in the price of that brand or method; and “overall-price elasticity,” the percentage change in the sales of (or number of respondents using) any brand or method, divided by the mean or median change in the overall price of contraceptives. From a pub- lic health perspective, increasing total effective contracep- tive use is generally a more important goal than increasing sales of a particular method or brand. Likewise, overall-price elasticity is a greater concern than own-price elasticity. Over the past two decades, more than two dozen stud- ies have been published on the price elasticity of demand for contraception. Three previous reviews of these studies found the evidence was equivocal, in large part because of methodological problems.5 Most studies measured the ef- fects of price on demand for a particular brand or method, not on contraceptive use as a whole; measured elasticities at low prices, where demand may not change; or were lim- ited by selection bias, as price subsidies may target couples with a lower demand for contraception. For the most part, the following observation made by Janowitz and Bratt in 1996 still holds true: “We know a lot more about the elastic properties of condoms than we know about the elasticity of demand for contraceptive products and services.”6 This is largely because research on price elas- ticity has continued to ask questions about own-price elas- ticity. This focus is in part the fault of donors, who often ask grantees only for sales figures as measures of impact. When own-price elasticity estimates are used to estimate the effect of price on overall use, it is assumed that users who stop using a particular brand or method do so because they have stopped practicing contraception altogether. This assumption, however, is often incorrect. For instance, when Ciszewski and Harvey found that social marketing price increases in Bangladesh had caused a decrease in social mar- keting sales, they inferred that overall contraceptive preva- lence had decreased.7 Nevertheless, Janowitz and Bratt found that contraceptive prevalence in Bangladesh had ac- tually increased during that period. They concluded that users of socially marketed brands had simply switched to other brands and methods after the price increase.8 Studies in Morocco and Bangladesh have also found that brand or method discontinuation is often followed by use of another brand or method, or by an intentional preg- nancy.9 To measure the net effect of price on contraceptive use, then, a study must account for brand and method substitution. TABLE 1. Price elasticity of contraceptive demand, by study and country Study Country Elasticity Bratt et al., 2002 Ecuador IUD, 0.1–0.5 Leon and Cuesta, 1993 Ecuador IUD, 0.5 Agha and Davies, 1998 Pakistan Condom, 0.5 among users in small cities; 0–0.1 among users in large cities Ciszewski and Harvey, 1995 Haiti, Pakistan, Condoms, 0.29–2.68; oral contra- Bangladesh ceptives, 0.3 Jensen et al., 1994 Indonesia Oral contraceptives, 0.03–0.08 at public clinic; 0.2–0.3 at private clinic; injection, 0.8–1.5; implant, 0–0.04; IUD, 0–0.13; female sterilization, 0.05–0.36 Haws et al., 1992 Mexico Tubal sterilization, 1.7 Akin and Schwartz, 1988 Jamaica, Thailand Methods used by 85% of users, elasticity <0.1 McKelvey, 2003 Indonesia Overall use, <0.08 Molyneaux, 2000 Indonesia Overall use, 0.03–0.05 Levin et al., 1999 Bangladesh Overall use, 0.0 Feyisetan and Ainsworth, 1996 Nigeria Overall use, (+)0.02–(–)0.15† Molyneaux and Diman, 1991 Indonesia Overall use, 0.03 †Most elasticity values are negative, meaning that a price increase decreases consumption; thus, a negative value is usually assumed and the minus sign omitted. However, a price increase may sometimes increase con- sumption, for example, if some consumers interpret a higher price as signaling higher quality. Note: For full study citations, see reference 10. 136 International Family Planning Perspectives come for a couple-year of contraceptive protection. Using panel data from Indonesia during this period, McKelvey estimated that increasing 1997 median contra- ceptive prices by 100% would decrease use by 0–8%, and found no statistically significant difference in price sensi- tivity between poorer and richer households.14 Molyneaux estimated that increasing mean contraceptive prices by 100% would decrease use by 3–5%; elasticities were largest in the poorest quartile (0.05).15 Elasticities can be converted into estimates of the cost- effectiveness of price subsidies. In Molyneaux’s study, elas- ticity was 0.05 or less at the mean contraceptive price of around $4.88 per couple-year of protection in 1997 (in 2001 international dollars). Thus, in a population of 100 users, with total contraceptive use equal to 100 couple-years of protection, an additional price subsidy of $244 (cutting the price in half for each user) would increase contraceptive use at most by 2.5%—or 2.5 couple-years of protection. An in- vestment of $244 for 2.5 couple-years of protection equals a cost-effectiveness ratio of $97.60 per new (or retained) cou- ple-year of protection. McKelvey’s elasticity estimate, at the 1997 price, translates to a cost of around $61 per couple- year of protection (in 2001 international dollars). The few studies to look at overall contraceptive use sug- gest that price elasticity is low, even among lower-income groups. Though price changes may cause significant switch- ing among brands or methods, the price of contraceptives does not appear to substantially affect the decision to use family planning. But suppose overall price elasticity were much higher. Should program managers spend more of their funds sub- sidizing prices? Or, in the case of donated commodities, should donors spend their funds on bulk purchases? Not necessarily. There is little question that contraceptive de- mand has some price elasticity. The important question is whether elasticity is so great that expenditures on price sub- sidies will increase contraceptive prevalence more than iden- tical expenditures on promotion, distribution or quality improvement. OTHER ACTIVITIES DHS data suggest that three of the major barriers to con- traceptive use—lack of knowledge about family planning methods, social opposition to their use and concerns about health effects—are affected by promotional activities. Stud- ies examining data from numerous countries suggest that exposure to promotional messages through television, radio and print media increases the likelihood of contraceptive use, independent of price.16 However, few studies have mea- sured changes in contraceptive use overall, rather than use of a particular method, and even fewer studies have pub- lished program costs. Only three studies—by Robinson and Lewis in Egypt, by Yun and colleagues in Turkey and by Piotrow and colleagues in Zimbabwe—appear to have done both. In these studies, media campaigns increased method use at a cost per new contraceptive user of $3.26, $1.36 and $3.57 (in 2001 dol- lars), respectively.17 The costs per couple-year of protec- tion would be even lower if new users continued contra- ceptive use for more than one year, on average. However, these and other evaluations of promotion campaigns de- pended on respondents’ recollection of promotional mes- sages and were therefore likely to overestimate effects be- cause respondents who are already interested in practicing contraception are more likely than those who are not to re- member having seen contraceptive advertisements. Thus, the actual cost-effectiveness of these programs is uncertain. Perhaps a more promising approach is one adopted by Brinkley, Walsh and Mitchell, in which fertility rates in Ecuador over 21 years were regressed against variables that included the annual costs (broken down by line item) of family planning programs.18 According to their results, spending on promotion was a significant predictor of fer- tility rates, whereas spending on contraceptive supplies was not. Further analysis, using program costs from 22 coun- tries, indicated that spending on promotion was a better predictor of contraceptive prevalence than was spending on contraceptive supplies. If more programs were to pub- lish their costs, additional studies of this kind would be possible. How cost-effective are expenditures on distribution? A common conclusion is that inadequate physical access to supplies and services is not one of the predominant caus- es of unmet need.19 But there are exceptions among coun- tries with very low contraceptive prevalence, such as Ghana and Pakistan.20 In Nigeria, availability of contraceptive meth- ods has been more important than price in predicting con- traceptive use.21 But without knowing the costs of improving both price and availability, these studies cannot help us de- cide how much to spend on distribution. The evidence is a little clearer for measures of quality, such as the range of method choice, private vs. public pro- vision, waiting times and the caliber of counseling. Con- traceptive discontinuation rates are strongly affected by the range of contraceptive methods available to users—no sin- gle method works for all couples, and a lack of access to a method that meets their needs leads many couples to aban- don contraception altogether. Several studies have likewise shown that contraceptive use rises with greater method choice and increases in quality.22 In the Philippines, providers who added another contraceptive method to those already available increased contraceptive use by an average of five percentage points.23 These findings are cor- roborated by experiments in Bangladesh, Taiwan, India, Thailand, South Korea and Hong Kong in which contra- ceptive prevalence increased after the introduction of ad- ditional methods.24 How do the effects of expenditures on quality compare to those of expenditures on price subsidies? Studies of fam- ily planning and other health programs suggest that quali- ty improvements can more than offset the demand-reduc- ing effects of price increases, even among poor clients.25 Many contraceptive users perceive supplies or services from private sources as being of higher quality than those from Family Planning Programs: Getting the Most for the Money 137Volume 30, Number 3, September 2004 7.Ciszewski RL and Harvey PD, Contraceptive price changes: the impact on sales in Bangladesh, International Family Planning Perspectives, 1995, 21(4):150–154. 8. Janowitz B and Bratt J, 1996, op. cit. (see reference 5). 9. Steele F, Curtis S and Choe M, The impact of family planning service provision on contraceptive use dynamics in Morocco, Studies in Family Planning, 1999, 30(1):28–42; and Steele F and Diamond I, Contraceptive switching in Bangladesh, Studies in Family Planning, 1999, 30(4): 315–328. 10. Bratt J et al., The impact of price changes on demand for family planning and reproductive health services in Ecuador, Health Policy and Planning, 2002, 17(3):281–287; Leon FR and Cuesta A, The need for quasi-experimental methodology to evaluate pricing effects, Studies in Family Planning, 1993, 24(6):375–381; and Agha S and Davies J, Contraceptive Social Marketing in Pakistan: Assessing the Impact of the 1991 Condom Price Increases on Sales and Consumption, Washington, DC: Population Services International, 1998; Ciszewski RL and Harvey PD, 1995, op. cit. (see reference 7); Jensen ER et al., Contraceptive pricing and prevalence: family planning self-sufficiency in Indonesia, Interna- tional Journal of Health Planning and Management, 1994, 9(4):349–359; Haws J et al., Impact of sustainability policies on sterilization services in Latin America, Studies in Family Planning, 1992, 23(2):85–96; Akin J and Schwartz B, The effect of economic factors on contraceptive choice in Jamaica and Thailand, Economic Development and Cultural Change, 1988, 36(3):503–527; McKelvey C, Fertility regulation and economic resources: evidence from Indonesia, unpublished dissertation, Department of Economics, University of California at Los Angeles, USA, 2003; Molyneaux JW, The evolution of contraceptive pricing in Indonesia: a final report to The Policy Project, Jakarta, Indonesia: Rand Corporation, 2000; Levin AB, Caldwell K and Khuda B, Effect of price and access on contraceptive use, Social Science & Medicine, 1999, 49(1): 1–15; Feyisetan BJ and Ainsworth M, Contraceptive use and the quality, price, and availability of family planning in Nigeria, Living Standards Measurement Study (LSMS) Working Paper, Washington, DC: World Bank, 1994, No. 108; and Molyneaux JW and Diman T, Impacts of contraceptive price on Indonesian contraceptive choices, in: Kantner A and Palmer J, eds., Secondary Analysis of the 1987 National Contraceptive Prevalence Survey, Vol. I, Jakarta, Indonesia: National Family Planning Coordinating Board, 1991. 11. McKelvey C, 2003, op. cit. (see reference 10); Molyneaux JW, 2000, op. cit. (see reference 10); Levin AB, Caldwell K and Khuda B, 1999, op. cit. (see reference 10); Feyisetan BJ and Ainsworth M, 1994, op. cit. (see reference 10); and Molyneaux JW and Diman T, 1991, op. cit. (see reference 10). 12. Schultz TP, Modern economic growth and fertility: is aggregate evidence credible? Yale University, New Haven, CT, USA, 1993. 13. Pritchett LH, 1994, op. cit. (see reference 3). 14. McKelvey C, 2003, op. cit. (see reference 10). 15. Molyneaux JW, 2000, op. cit. (see reference 10). 16. Westoff CF and Bankole A, Mass media and reproductive health, Demographic and Health Survey Analytical Reports, Calverton, MD, USA: Macro International, 1997, No. 2; Westoff CF and Bankole A, Mass media and reproductive behavior in Pakistan, India, and Bangladesh, Demographic and Health Survey Analytical Reports, Calverton, MD, USA: Macro International, 1999, No. 10; Hubley J, Mass-media interventions to promote family planning and population education, Leeds Health Education Database, <http://www.hubley.co.uk/fplan.htm>, accessed Mar. 31, 2004. 17. Robinson WC and Lewis GL, Cost-effectiveness analysis of behav- ior change interventions: a proposed new approach and an application to Egypt, Journal of Biosocial Science, 2003, 35(4):499–512; Yun SH et al., The National Family Planning IEC Campaign of Turkey, Baltimore, MD, USA: Johns Hopkins University, Population Communication Services, 1990; and Piotrow PT et al., Changing men’s attitudes and behavior: the Zimbabwe male motivation project, Studies in Family Planning, 1992, 23(6):365–375. 18. Brinkley G, Walsh J and Mitchell B, The allocation of resources within international family planning programs, Bay Area International Group, University of California, Berkeley, USA, 2003. public sources.26 One study in Ghana likewise suggested that privatizing family planning facilities would be more cost- effective in increasing prevalence than would distributing all family planning supplies at no cost.27 According to other studies, large numbers of even the poorest users obtain their contraceptives from private sources for a fee, despite the avail- ability of free or highly subsidized supplies, suggesting that clients are willing to pay higher prices for services or sup- plies they perceive as being of sufficiently higher quality.28 Improvements in quality can even reduce costs. At clin- ics, improving client flow and shifting service delivery from physicians to nurses can increase quality by decreasing wait- ing times and improving the counseling clients receive; at the same time, these improvements decrease clinic costs. One clinic in Guatemala was able to double the number of clients served by improving client flow, with no change in clinic hours or staffing costs.29 FURTHER RESEARCH We know little more now than we did 20 years ago about the relative cost-effectiveness of expenditures on various family planning program activities. Few programs have eval- uated their effectiveness, and even fewer have published their costs. We do know that price elasticity estimates alone are not sufficient to set priorities in program spending. Sub- sidizing prices should be seen as one of several activities competing for scarce funding. At both the donor and the program level, funds should be directed to the most cost- effective ways to realize program objectives. These activi- ties are likely to vary among target groups and to depend on existing knowledge of, attitudes toward and access to contraceptives. Donors should likewise encourage programs to conduct marketing research before launching programs, and to identify the local barriers to contraceptive use and the most cost-effective measures to lower these barriers. In addition, donors should encourage programs to evaluate the effectiveness of their projects, using methods that ac- count for brand and method switching, and to publish their costs, so that future projects can be better informed. REFERENCES 1. Sanderson WC and Tan J, Population in Asia, Avebury, VT, USA: Brookfield, 1996. 2. Harvey P, The impact of condom prices on sales in social marketing programs, Studies in Family Planning, 1994, 25(1):52–58. 3. Pritchett LH, Desired fertility and the impact of population policies, Population and Development Review, 1994, 20(1):1–56. 4. Casterline J and Sinding S, Unmet need for family planning in developing countries and implications for population policy, Popula- tion and Development Review, 2000, 26(4):691–723; and ORC Macro, MEASURE DHS+ STATcompiler, <http://www.measuredhs.com>, accessed June 29, 2004. 5. Lewis MA, Do contraceptive prices affect demand? Studies in Fami- ly Planning, 1986, 17(3):126–135; Lande RE and Geller JS, Paying for family planning, Population Reports, 1991, Series J, No. 39, pp. 1–31; and Janowitz B and Bratt J, What do we really know about the impact of price changes on contraceptive use? International Family Planning Perspectives, 1996, 22(1):38–40. 6. Janowitz B and Bratt J, Contraceptive pricing: the authors reply, letter to the editor, International Family Planning Perspectives, 1996, 22(3):127. 138 International Family Planning Perspectives 19. Bongaarts J and Bruce J, The causes of unmet need for contracep- tion and the social content of services, Studies in Family Planning, 1995, 26(2):57–75; and Westoff C and Bankole A, Unmet Need: 1990–1994, Calverton, MD, USA: Macro International, 1995. 20. Debpuur C et al., The impact of the Navrongo project on contra- ceptive knowledge and use, reproductive preferences, and fertility, Studies in Family Planning, 2002, 33(2):141–164; and Shelton JD, Putting unmet need to the test: community-based distribution of family planning in Pakistan, International Family Planning Perspectives, 1999, 25(4):191–195. 21. Feyisetan BJ and Ainsworth M, 1994, op. cit. (see reference 10). 22. Bulatao R, Effective Family Planning Programs, Washington, DC: World Bank, 1993, p. 43; Mroz TA et al., Quality, accessibility and contracep- tive use in rural Tanzania, Demography, 1999, 36(1):23–40; Feyisetan B and Ainsworth M, Contraceptive use and the quality, price and avail- ability of family planning in Nigeria, World Bank Economic Review, 1996, 10(1):159–187; Steele F, Curtis SL and Choe MK, 1999, op. cit. (see reference 9); and Cochrane SH and Guilkey DK, The effects of fertility intentions and access to services on contraceptive use in Tunisia, Economic Development and Cultural Change, 1995, 43(4):779–804. 23. Akin JS and Rous JJ, The effect of provider characteristics on con- traceptive provider choice: a two-equation full information maximum likelihood estimation, Demography, 1997, 34(4):513–523. 24. Ross JA and Frankenberg E, Findings from Two Decades of Family Planning Research, New York: Population Council, 1993. 25. Oliver R, Contraceptive use in Ghana: the role of service availability, quality, and price, LSMS Working Paper, Washington, DC: World Bank, 1995, No. 111. 26. Rosen J and Conly S, Getting Down to Business: Expanding the Private Commercial Sector’s Role in Meeting Reproductive Health Needs, Wash- ington, DC: Population Action International, 1999. 27. Foreit KGF and Levine RE, Cost recovery and user fees in family planning, Policy Paper, Washington, DC: Options for Population Policy, 1993, No. 5; Litvack JI and Bodart C, User fees plus quality equals improved access to health care: results of a field experiment in Cameroon, Social Science & Medicine, 1993, 37(3):369–383; and Lavy V and Germain J, Tradeoffs in cost, quality and accessibility in utilization of health facilities: insights from Ghana, in: Shaw PR and Ainsworth M, eds., Financing Health Services Through User Fees and Insurance: Case Studies from Sub-Saharan Africa, World Bank Discussion Paper, Washington, DC: World Bank, 1996, No. 294. 28. Sine J, How Much Is Enough? Estimating Requirements for Subsidized Contraceptives, Washington, DC: Commercial Market Strategies, 2002; Foreit KGF, Use of commercial and government sources of family plan- ning and maternal and child health care, Working Paper, Washington, DC: Futures Group International, POLICY Project, 1999, No. 4; and Rosen J and Conly S, 1999, op. cit. (see reference 26). 29. Burkhart M and Solorzano J, Testing a tripartite strategy in San Marcos, Guatemala City: Ministry of Public Health and Social Assistance and Population Council, 1999. Acknowledgments The David and Lucille Packard Foundation funded the research on which this Viewpoint is based. The author thanks Françoise Armand, John Bratt, Steve Chapman, Karen Foreit, Barbara Janowitz, Ahmed Khwaja, Dominique Meekers, Jack Molyneaux and Reed Ramlow for comments on an earlier version. Author contact: jmatheny@jhsph.edu Family Planning Programs: Getting the Most for the Money

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