Family Planning in Asia and the Pacific - International Council on ...

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NuptialityIn Myanmar nuptiality is ong>inong> transition, with ong>theong> proportionnever married (PNM) for both sexes havong>inong>g been 39.6 percent ong>inong> 1973, ong>inong>creasong>inong>g over time to peak ong>inong> 2001 at 55.7per cent ong>andong> decreasong>inong>g ong>theong>reafter to 54.1 per cent ong>inong> 2006.However, ong>theong> trend for PNM from 1973 to 2006 stillshowed an ong>inong>crease. The proportion married was 51 percent ong>inong> 1973, decreasong>inong>g contong>inong>uously to 37.8 per cent ong>inong>2001 – its lowest value, ong>theong>n ong>inong>creasong>inong>g slightly to 39.2 percent ong>inong> 2006. Agaong>inong>, ong>theong> net trend is a declong>inong>e, although itong>inong>creased agaong>inong> ong>inong> ong>theong> period 2001-2006. The gender gapalso narrowed among ong>theong> population “never married” ong>andong>“married over time” (see Figure 3). It can be assumed thatPNM has leveled off at about 50 per cent ong>andong> has nowstarted to stabilize.Mean ideal family size declong>inong>ed slightly from 3.3 childrenong>inong> 1991 to 3.2 ong>inong> 2006. About half of currently marriedwomen of reproductive age have no desire to have any morechildren. Age at marriage varies with rural-urban residenceong>andong> educational attaong>inong>ment: persons ong>inong> urban areas ong>andong> ong>theong>more highly educated tend to marry later 9 . Given that ong>theong>age at marriage is ong>inong>creasong>inong>g ong>andong> a growong>inong>g proportion ofong>theong> population never marry, effective mechanisms need tobe developed to reach unmarried persons with appropriateRH ong>inong>formation ong>andong> contraceptive services.Myanmar’s population is ong>inong> ong>theong> last stages of demographictransition where ong>theong>re is a declong>inong>e ong>inong> ong>theong> proportion ofthose under age 15 ong>andong> an ong>inong>crease ong>inong> ong>theong> proportion ong>inong> ong>theong>workong>inong>g age population (15-59 years) ong>andong> ong>inong> ong>theong> elderlypopulation (60 years ong>andong> older). This pattern of declong>inong>e ong>inong>fertility below ong>theong> replacement level, low dependency ratioong>andong> ong>inong>crease ong>inong> ong>theong> workong>inong>g age group may be considereda “demographic wong>inong>dow of opportunity” or a “demographicdividend” for ong>theong> country to make effective ong>inong>vestments ong>inong>job creation ong>andong> ong>inong> health ong>andong> education, which ong>inong> turnwill lead to sustaong>inong>able economic growth.Maternal mortality ratioData on maternal mortality are not collected ong>inong> mostsurveys because it is difficult to cover ong>theong> required sizeof ong>theong> population for direct calculation, as estimatong>inong>gMMR requires a large sample. MMR is typically difficultto measure for both conceptual ong>andong> practical reasons, asmaternal deaths are difficult to identify with precision 10 .Only three large countrywide surveys, namely ong>theong> 1997ong>andong> 2007 FRHS, ong>andong> ong>theong> 1999 National Mortality Survey,ong>inong>cluded questions concernong>inong>g maternal mortality. TheNationwide Cause-specific Maternal Mortality Survey(2004-2005) was specially designed to collect ong>inong>formationon maternal mortality. Myanmar’s MMR was 283 per100,000 live births for ong>theong> period 1986-1990. 11 Accordong>inong>gto ong>theong> 1999 National Mortality Survey, it was 255 at ong>theong>national level, 178 ong>inong> urban areas ong>andong> 281 ong>inong> rural areas. 12The values varied widely among ong>theong> regions of ong>theong> country.It was as high as 500 or more ong>inong> most of Shan State ong>andong> aslow as 136 ong>inong> Sagaong>inong>g Division. The cause-specific surveyestimated MMR at ong>theong> national level to be 316 (rangong>inong>gfrom 177 to 451) per 100,000 live births, 140 for urbanareas ong>andong> 363 for rural areas ong>inong> 2004-2005 13 . The HealthManagement Information System (HMIS) reportedMMR to be 150 per 100,000 live births ong>inong> 2008, varyong>inong>gamong regions from 220 ong>inong> Kayah State, Chong>inong> State ong>andong>Shan State to 110 ong>inong> Bago (West) ong>andong> Magway, ong>andong> 90 ong>inong>Yangon 14 . Vital statistics ong>inong>dicate that MMR was 94 forurban areas ong>andong> 136 for rural areas ong>inong> 2007 15 .Approximately 1.3 million women give birth each year ong>inong>Myanmar. 16 MMR, referrong>inong>g to ong>theong> number of pregnancyrelatedmaternal deaths per 100,000 live births, remaong>inong>edelevated at an estimated 316 maternal deaths ong>inong> 2004-2005 17 . Some researchers estimated MMR ong>inong> Myanmar tobe 219 ong>inong> 2008 18 , whereas ong>theong> World Health Organization(WHO), United Nations Children’s Fund (UNICEF),UNFPA ong>andong> ong>theong> World Bank estimated it to be 240 per100,000 live births.Myanmar has made progress ong>inong> brong>inong>gong>inong>g down maternalmortality ong>andong> ong>inong> workong>inong>g towards reachong>inong>g ong>theong> nationaltarget of attaong>inong>ong>inong>g an MMR lower than 145 per 100,000live births by ong>theong> year 2015 19 , but ong>theong> effort remaong>inong>s anongoong>inong>g challenge. The fact that MMR estimates werehigher ong>inong> 2005 than ong>theong> estimated levels ong>inong> 1994 ong>andong> 1999(Figure 3) is suggestive of ong>theong> compounded impact thateconomic ong>andong> social factors have on women's health ong>andong>survival ong>andong> ong>theong> ong>inong>tense vulnerability of ong>theong> health statusof women. The higher figures could also be due to betterreportong>inong>g of maternal deaths due to ong>inong>creased awarenessong>andong> improved data-collection methods 20 .The Nationwide Cause-specific Maternal Mortality Survey(2004-2005) depicted a wide range of MMR values thatdiffered accordong>inong>g to geographical location, age group,urban-rural residency ong>andong> place of birth 21 . The leadong>inong>gdirect obstetric causes of maternal death are postpartumhemorrhage (31%), followed by hypertensive disordersof pregnancy, ong>inong>cludong>inong>g eclampsia (17%) ong>andong> abortionrelatedcauses (10%) There is evidence that wide use ofcontraceptives significantly lowers MMR. Thus, birthspacong>inong>g should be advocated for women who do not wantto get pregnant ong>inong> order to reduce MMR ong>andong> unwantedpregnancies.Birth spacong>inong>gPopulation density for ong>theong> whole country is 87 persons persquare kilometer, rangong>inong>g from 683 per sq km ong>inong> YangonDivision, which encompasses ong>theong> city of Yangon, to 15 per266

FigureTableTable2Comparison of 1990, 1995, 2000, 2005 ong>andong> 2008 estimates of ong>theong> maternal mortality ratio,by selected countriesCountryEstimated MMR1990 1995 2000 2005 2008EstimatedMMRPercentagechangeong>inong> MMRbetween1990 ong>andong>2008Annualpercentagechangeong>inong> MMRbetween1990 ong>andong>2008Myanmar 420 350 290 250 240 -43 -3.1Bangladesh 870 640 500 420 340 –61 –5.3Makong>inong>gprogressMakong>inong>gprogressMaldives 510 240 110 52 37 –93 –14.6 On trackBhutan 940 650 420 260 200 –79 –8.6 On trackIndia 570 470 390 280 230 –59 –4.9Makong>inong>gprogressSri Lanka 91 73 59 45 39 –58 –4.8 On trackSudan 830 780 770 760 750 –9 –0.5InsufficientprogressSource: World Health Organization, Trends ong>inong> Maternal Mortality: 1990 to 2008: Estimates Developed by WHO, UNICEF, UNFPAong>andong> The World Bank, Geneva: WHO, 2010.Figure4Maternal mortality ratio (per 100,000 live births), 1994-2005450400350300250200150100500420350290250 240105199019952000200520102015MyanmarSource: Trend of MMR2008 – Source: WHO, UNCEF, UNFPA& World Bank:2010sq km ong>inong> Chong>inong> State 22 ong>inong> ong>theong> western part of ong>theong> country,which is still much less dense than its close neighbours ong>inong>ong>theong> region. Thus, ong>theong> draft population policy documentof ong>theong> government 23 calls for a pronatalist populationpolicy; to date ong>theong>re is no family plannong>inong>g programmeper se ong>inong> Myanmar. As mentioned previously, ong>theong> term“birth spacong>inong>g” is preferred over “family plannong>inong>g” ong>andong>contraceptives are used primarily to space births for betterreproductive outcomes ong>andong> maternal ong>andong> child health.The term birth spacong>inong>g is also preferred because it impliesgivong>inong>g healthy adult men ong>andong> women a choice on howmany children ong>theong>y want ong>andong> when ong>theong>y want ong>theong>m 24 .267

NuptialityIn Myanmar nuptiality is <str<strong>on</strong>g>in</str<strong>on</strong>g> transiti<strong>on</strong>, with <str<strong>on</strong>g>the</str<strong>on</strong>g> proporti<strong>on</strong>never married (PNM) for both sexes hav<str<strong>on</strong>g>in</str<strong>on</strong>g>g been 39.6 percent <str<strong>on</strong>g>in</str<strong>on</strong>g> 1973, <str<strong>on</strong>g>in</str<strong>on</strong>g>creas<str<strong>on</strong>g>in</str<strong>on</strong>g>g over time to peak <str<strong>on</strong>g>in</str<strong>on</strong>g> 2001 at 55.7per cent <str<strong>on</strong>g>and</str<strong>on</strong>g> decreas<str<strong>on</strong>g>in</str<strong>on</strong>g>g <str<strong>on</strong>g>the</str<strong>on</strong>g>reafter to 54.1 per cent <str<strong>on</strong>g>in</str<strong>on</strong>g> 2006.However, <str<strong>on</strong>g>the</str<strong>on</strong>g> trend for PNM from 1973 to 2006 stillshowed an <str<strong>on</strong>g>in</str<strong>on</strong>g>crease. The proporti<strong>on</strong> married was 51 percent <str<strong>on</strong>g>in</str<strong>on</strong>g> 1973, decreas<str<strong>on</strong>g>in</str<strong>on</strong>g>g c<strong>on</strong>t<str<strong>on</strong>g>in</str<strong>on</strong>g>uously to 37.8 per cent <str<strong>on</strong>g>in</str<strong>on</strong>g>2001 – its lowest value, <str<strong>on</strong>g>the</str<strong>on</strong>g>n <str<strong>on</strong>g>in</str<strong>on</strong>g>creas<str<strong>on</strong>g>in</str<strong>on</strong>g>g slightly to 39.2 percent <str<strong>on</strong>g>in</str<strong>on</strong>g> 2006. Aga<str<strong>on</strong>g>in</str<strong>on</strong>g>, <str<strong>on</strong>g>the</str<strong>on</strong>g> net trend is a decl<str<strong>on</strong>g>in</str<strong>on</strong>g>e, although it<str<strong>on</strong>g>in</str<strong>on</strong>g>creased aga<str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> period 2001-2006. The gender gapalso narrowed am<strong>on</strong>g <str<strong>on</strong>g>the</str<strong>on</strong>g> populati<strong>on</strong> “never married” <str<strong>on</strong>g>and</str<strong>on</strong>g>“married over time” (see Figure 3). It can be assumed thatPNM has leveled off at about 50 per cent <str<strong>on</strong>g>and</str<strong>on</strong>g> has nowstarted to stabilize.Mean ideal family size decl<str<strong>on</strong>g>in</str<strong>on</strong>g>ed slightly from 3.3 children<str<strong>on</strong>g>in</str<strong>on</strong>g> 1991 to 3.2 <str<strong>on</strong>g>in</str<strong>on</strong>g> 2006. About half of currently marriedwomen of reproductive age have no desire to have any morechildren. Age at marriage varies with rural-urban residence<str<strong>on</strong>g>and</str<strong>on</strong>g> educati<strong>on</strong>al atta<str<strong>on</strong>g>in</str<strong>on</strong>g>ment: pers<strong>on</strong>s <str<strong>on</strong>g>in</str<strong>on</strong>g> urban areas <str<strong>on</strong>g>and</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g>more highly educated tend to marry later 9 . Given that <str<strong>on</strong>g>the</str<strong>on</strong>g>age at marriage is <str<strong>on</strong>g>in</str<strong>on</strong>g>creas<str<strong>on</strong>g>in</str<strong>on</strong>g>g <str<strong>on</strong>g>and</str<strong>on</strong>g> a grow<str<strong>on</strong>g>in</str<strong>on</strong>g>g proporti<strong>on</strong> of<str<strong>on</strong>g>the</str<strong>on</strong>g> populati<strong>on</strong> never marry, effective mechanisms need tobe developed to reach unmarried pers<strong>on</strong>s with appropriateRH <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong> <str<strong>on</strong>g>and</str<strong>on</strong>g> c<strong>on</strong>traceptive services.Myanmar’s populati<strong>on</strong> is <str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> last stages of demographictransiti<strong>on</strong> where <str<strong>on</strong>g>the</str<strong>on</strong>g>re is a decl<str<strong>on</strong>g>in</str<strong>on</strong>g>e <str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> proporti<strong>on</strong> ofthose under age 15 <str<strong>on</strong>g>and</str<strong>on</strong>g> an <str<strong>on</strong>g>in</str<strong>on</strong>g>crease <str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> proporti<strong>on</strong> <str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g>work<str<strong>on</strong>g>in</str<strong>on</strong>g>g age populati<strong>on</strong> (15-59 years) <str<strong>on</strong>g>and</str<strong>on</strong>g> <str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> elderlypopulati<strong>on</strong> (60 years <str<strong>on</strong>g>and</str<strong>on</strong>g> older). This pattern of decl<str<strong>on</strong>g>in</str<strong>on</strong>g>e <str<strong>on</strong>g>in</str<strong>on</strong>g>fertility below <str<strong>on</strong>g>the</str<strong>on</strong>g> replacement level, low dependency ratio<str<strong>on</strong>g>and</str<strong>on</strong>g> <str<strong>on</strong>g>in</str<strong>on</strong>g>crease <str<strong>on</strong>g>in</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> work<str<strong>on</strong>g>in</str<strong>on</strong>g>g age group may be c<strong>on</strong>sidereda “demographic w<str<strong>on</strong>g>in</str<strong>on</strong>g>dow of opportunity” or a “demographicdividend” for <str<strong>on</strong>g>the</str<strong>on</strong>g> country to make effective <str<strong>on</strong>g>in</str<strong>on</strong>g>vestments <str<strong>on</strong>g>in</str<strong>on</strong>g>job creati<strong>on</strong> <str<strong>on</strong>g>and</str<strong>on</strong>g> <str<strong>on</strong>g>in</str<strong>on</strong>g> health <str<strong>on</strong>g>and</str<strong>on</strong>g> educati<strong>on</strong>, which <str<strong>on</strong>g>in</str<strong>on</strong>g> turnwill lead to susta<str<strong>on</strong>g>in</str<strong>on</strong>g>able ec<strong>on</strong>omic growth.Maternal mortality ratioData <strong>on</strong> maternal mortality are not collected <str<strong>on</strong>g>in</str<strong>on</strong>g> mostsurveys because it is difficult to cover <str<strong>on</strong>g>the</str<strong>on</strong>g> required sizeof <str<strong>on</strong>g>the</str<strong>on</strong>g> populati<strong>on</strong> for direct calculati<strong>on</strong>, as estimat<str<strong>on</strong>g>in</str<strong>on</strong>g>gMMR requires a large sample. MMR is typically difficultto measure for both c<strong>on</strong>ceptual <str<strong>on</strong>g>and</str<strong>on</strong>g> practical reas<strong>on</strong>s, asmaternal deaths are difficult to identify with precisi<strong>on</strong> 10 .Only three large countrywide surveys, namely <str<strong>on</strong>g>the</str<strong>on</strong>g> 1997<str<strong>on</strong>g>and</str<strong>on</strong>g> 2007 FRHS, <str<strong>on</strong>g>and</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> 1999 Nati<strong>on</strong>al Mortality Survey,<str<strong>on</strong>g>in</str<strong>on</strong>g>cluded questi<strong>on</strong>s c<strong>on</strong>cern<str<strong>on</strong>g>in</str<strong>on</strong>g>g maternal mortality. TheNati<strong>on</strong>wide Cause-specific Maternal Mortality Survey(2004-2005) was specially designed to collect <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong><strong>on</strong> maternal mortality. Myanmar’s MMR was 283 per100,000 live births for <str<strong>on</strong>g>the</str<strong>on</strong>g> period 1986-1990. 11 Accord<str<strong>on</strong>g>in</str<strong>on</strong>g>gto <str<strong>on</strong>g>the</str<strong>on</strong>g> 1999 Nati<strong>on</strong>al Mortality Survey, it was 255 at <str<strong>on</strong>g>the</str<strong>on</strong>g>nati<strong>on</strong>al level, 178 <str<strong>on</strong>g>in</str<strong>on</strong>g> urban areas <str<strong>on</strong>g>and</str<strong>on</strong>g> 281 <str<strong>on</strong>g>in</str<strong>on</strong>g> rural areas. 12The values varied widely am<strong>on</strong>g <str<strong>on</strong>g>the</str<strong>on</strong>g> regi<strong>on</strong>s of <str<strong>on</strong>g>the</str<strong>on</strong>g> country.It was as high as 500 or more <str<strong>on</strong>g>in</str<strong>on</strong>g> most of Shan State <str<strong>on</strong>g>and</str<strong>on</strong>g> aslow as 136 <str<strong>on</strong>g>in</str<strong>on</strong>g> Saga<str<strong>on</strong>g>in</str<strong>on</strong>g>g Divisi<strong>on</strong>. The cause-specific surveyestimated MMR at <str<strong>on</strong>g>the</str<strong>on</strong>g> nati<strong>on</strong>al level to be 316 (rang<str<strong>on</strong>g>in</str<strong>on</strong>g>gfrom 177 to 451) per 100,000 live births, 140 for urbanareas <str<strong>on</strong>g>and</str<strong>on</strong>g> 363 for rural areas <str<strong>on</strong>g>in</str<strong>on</strong>g> 2004-2005 13 . The HealthManagement Informati<strong>on</strong> System (HMIS) reportedMMR to be 150 per 100,000 live births <str<strong>on</strong>g>in</str<strong>on</strong>g> 2008, vary<str<strong>on</strong>g>in</str<strong>on</strong>g>gam<strong>on</strong>g regi<strong>on</strong>s from 220 <str<strong>on</strong>g>in</str<strong>on</strong>g> Kayah State, Ch<str<strong>on</strong>g>in</str<strong>on</strong>g> State <str<strong>on</strong>g>and</str<strong>on</strong>g>Shan State to 110 <str<strong>on</strong>g>in</str<strong>on</strong>g> Bago (West) <str<strong>on</strong>g>and</str<strong>on</strong>g> Magway, <str<strong>on</strong>g>and</str<strong>on</strong>g> 90 <str<strong>on</strong>g>in</str<strong>on</strong>g>Yang<strong>on</strong> 14 . Vital statistics <str<strong>on</strong>g>in</str<strong>on</strong>g>dicate that MMR was 94 forurban areas <str<strong>on</strong>g>and</str<strong>on</strong>g> 136 for rural areas <str<strong>on</strong>g>in</str<strong>on</strong>g> 2007 15 .Approximately 1.3 milli<strong>on</strong> women give birth each year <str<strong>on</strong>g>in</str<strong>on</strong>g>Myanmar. 16 MMR, referr<str<strong>on</strong>g>in</str<strong>on</strong>g>g to <str<strong>on</strong>g>the</str<strong>on</strong>g> number of pregnancyrelatedmaternal deaths per 100,000 live births, rema<str<strong>on</strong>g>in</str<strong>on</strong>g>edelevated at an estimated 316 maternal deaths <str<strong>on</strong>g>in</str<strong>on</strong>g> 2004-2005 17 . Some researchers estimated MMR <str<strong>on</strong>g>in</str<strong>on</strong>g> Myanmar tobe 219 <str<strong>on</strong>g>in</str<strong>on</strong>g> 2008 18 , whereas <str<strong>on</strong>g>the</str<strong>on</strong>g> World Health Organizati<strong>on</strong>(WHO), United Nati<strong>on</strong>s Children’s Fund (UNICEF),UNFPA <str<strong>on</strong>g>and</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> World Bank estimated it to be 240 per100,000 live births.Myanmar has made progress <str<strong>on</strong>g>in</str<strong>on</strong>g> br<str<strong>on</strong>g>in</str<strong>on</strong>g>g<str<strong>on</strong>g>in</str<strong>on</strong>g>g down maternalmortality <str<strong>on</strong>g>and</str<strong>on</strong>g> <str<strong>on</strong>g>in</str<strong>on</strong>g> work<str<strong>on</strong>g>in</str<strong>on</strong>g>g towards reach<str<strong>on</strong>g>in</str<strong>on</strong>g>g <str<strong>on</strong>g>the</str<strong>on</strong>g> nati<strong>on</strong>altarget of atta<str<strong>on</strong>g>in</str<strong>on</strong>g><str<strong>on</strong>g>in</str<strong>on</strong>g>g an MMR lower than 145 per 100,000live births by <str<strong>on</strong>g>the</str<strong>on</strong>g> year 2015 19 , but <str<strong>on</strong>g>the</str<strong>on</strong>g> effort rema<str<strong>on</strong>g>in</str<strong>on</strong>g>s an<strong>on</strong>go<str<strong>on</strong>g>in</str<strong>on</strong>g>g challenge. The fact that MMR estimates werehigher <str<strong>on</strong>g>in</str<strong>on</strong>g> 2005 than <str<strong>on</strong>g>the</str<strong>on</strong>g> estimated levels <str<strong>on</strong>g>in</str<strong>on</strong>g> 1994 <str<strong>on</strong>g>and</str<strong>on</strong>g> 1999(Figure 3) is suggestive of <str<strong>on</strong>g>the</str<strong>on</strong>g> compounded impact thatec<strong>on</strong>omic <str<strong>on</strong>g>and</str<strong>on</strong>g> social factors have <strong>on</strong> women's health <str<strong>on</strong>g>and</str<strong>on</strong>g>survival <str<strong>on</strong>g>and</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> <str<strong>on</strong>g>in</str<strong>on</strong>g>tense vulnerability of <str<strong>on</strong>g>the</str<strong>on</strong>g> health statusof women. The higher figures could also be due to betterreport<str<strong>on</strong>g>in</str<strong>on</strong>g>g of maternal deaths due to <str<strong>on</strong>g>in</str<strong>on</strong>g>creased awareness<str<strong>on</strong>g>and</str<strong>on</strong>g> improved data-collecti<strong>on</strong> methods 20 .The Nati<strong>on</strong>wide Cause-specific Maternal Mortality Survey(2004-2005) depicted a wide range of MMR values thatdiffered accord<str<strong>on</strong>g>in</str<strong>on</strong>g>g to geographical locati<strong>on</strong>, age group,urban-rural residency <str<strong>on</strong>g>and</str<strong>on</strong>g> place of birth 21 . The lead<str<strong>on</strong>g>in</str<strong>on</strong>g>gdirect obstetric causes of maternal death are postpartumhemorrhage (31%), followed by hypertensive disordersof pregnancy, <str<strong>on</strong>g>in</str<strong>on</strong>g>clud<str<strong>on</strong>g>in</str<strong>on</strong>g>g eclampsia (17%) <str<strong>on</strong>g>and</str<strong>on</strong>g> aborti<strong>on</strong>relatedcauses (10%) There is evidence that wide use ofc<strong>on</strong>traceptives significantly lowers MMR. Thus, birthspac<str<strong>on</strong>g>in</str<strong>on</strong>g>g should be advocated for women who do not wantto get pregnant <str<strong>on</strong>g>in</str<strong>on</strong>g> order to reduce MMR <str<strong>on</strong>g>and</str<strong>on</strong>g> unwantedpregnancies.Birth spac<str<strong>on</strong>g>in</str<strong>on</strong>g>gPopulati<strong>on</strong> density for <str<strong>on</strong>g>the</str<strong>on</strong>g> whole country is 87 pers<strong>on</strong>s persquare kilometer, rang<str<strong>on</strong>g>in</str<strong>on</strong>g>g from 683 per sq km <str<strong>on</strong>g>in</str<strong>on</strong>g> Yang<strong>on</strong>Divisi<strong>on</strong>, which encompasses <str<strong>on</strong>g>the</str<strong>on</strong>g> city of Yang<strong>on</strong>, to 15 per266

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