Prevalence of Induced Abortions Essay
Prevalence of inducedd Abortion in KP, Pakistan
Introduction: Maternal morbidity and mortality (MMR) due to complication of unsafe inducedd abortion constitute a major public health concern in many countries. It is assumed that most of the induced abortions are performed by unskilled personnel. Opting unsafe abortion may lead to severe morbidity and infection which results in affecting quality of life. The ultimate result of unsafe abortion is death, which is one of the contributing factors to increase MMR. Low literacy levels, ineffective use of contraceptive and high unmet need are major contributing factors for unintended pregnancies. World Health Organization (2008) most recent report estimated that each year 80 million unintended pregnancies occurs, of these 33 million are caused by ineffective use of a contraceptive methods. The World Health Organization defines” unsafe abortion as a procedure for terminating an unintended pregnancy carried out either by persons lacking the necessary skills or in an environment that does not conform to minimal medical standards, or both”(p.1). Nearly all unsafe abortions (97%) are in developing countries. Grimes, et.al. (2006) estimated that 68 000 women die worldwide as a result of complications due to unsafe abortion. In addition, it is estimated that in 2008, in developing countries the rate of inducedd abortion has been increased from 78% to 86% in 1985. South-Central Asia accounts for 200 deaths per 100,000 abortions.
In our country the actual data related to induced abortion are scarce due to under reported cases because of legal implications. Naqvi and Edhi (2013) revealed that Pakistan is among the top six countries where atmost half of the world’s all maternal deaths occur. Grimes, et.al. (2006) reported that in Pakistan, abortion rate was estimated 29 per 1000 women per yea.
Unlike other causes of MMR, death due to induced abortion is absolutely preventable. It is hypothesized that abortion rate is to be higher in the communities with poor socioeconomic status where contraceptive use is lower and rate of unwanted pregnancies is higher. Prevalence of Induced Abortions Essay.
Significance of the study: There is scarcity of community base studies of induced abortions, especially in KP. Most of the studies on prevalence of induced abortion have been conducted in hospital setting. Only women, who develop complications after induction, visit for treatment. Consequently the hospital studies do not represent the true profile of the abortion seekers living in community level. Moreover, findings of this study will purely represent the profile abortion seeker and determinants which will enable the health professionals to plan safe and better care for them. Finally, findings of this study will be used to improve the standards of care in terms of knowledge and practice for induced abortion.
Purpose: The purpose of the study is to determine the profile of abortion seeker, prevalence of inducedd abortion, determinants, complication in the community level. In addition, this study also aims to identify standards of safe abortion care provided in the clinic in community level.
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Study Question: To explore the prevalence and determinants of induced abortion in the community level in the Khyber Pakhtoonkhwa Pakistan.
Search Strategies: Pub Med, CINAHL and Mosby’s Nursing Consult used as data source for this paper. Studies published between February 2000 and February 2014 on the topic “induceds abortion” were included. To retrieve relevant literature, electronic databases were searched using a combination of the key terms, namely: (MMR), inducedd abortion, unsafe abortion, causes and complication. Net search was also extended to Google scholar, Population Council of Pakistan and WHO web search to capture the relevant studies. Search generated 150 articles, and through a selection process, 100 were rejected after reading the title and abstract of the article.Prevalence of Induced Abortions Essay.
Inclusion Criteria:
Articles with the same key words published after 2000.
Exclusion Criteria:
Articles were excluded if the study explored:
(1) Abortion due to fetal anomalies
(2) Illegal abortion
(3) Abortion when the mother health is in danger
Critical Review Analysis/ Synthesis
Determinants of inducedd abortion: Rehan, Inayatullah, and Chaudhary, (2001) and Shah, Hossain, Noonari, and Khan,(2011) Study conducted in 32 clinics 452 women were interviewed to find out characteristics of Pakistani women seeking abortion. A majority of the women (36.6%) were aged 35 years, 61.0% had given birth to 5 children, among them only 40.2% were illiterate. among them (62.8%) were illiterate. The major cause for abortion were “multi-gravidity” (64.4%), contraceptive failure was the second highest cause (20.3%). Most of the abortions were performed by incompetently trained persons. Saleem and Fikree (2005) study also substantiate these findings (e.g., example multiparous). Most of the women irrespective of their education who undergone for induced abortion wanted a small family. Similar study conducted by Shah, Hossain, Noonari, and Khan,(2011) reported that n= 43 women who were admitted for treatment of induced abortion related complications. Of these (35%) died due to abortion related complications which accounts for 9.7% of total MMR. D&C is the most preferred method used for unsafe abortion (68.4%) despite the fact that manual vacuum aspiration (MVA) is safest technique for induced abortion. Most of the inducedd abortions were performed by untrained abortion providers (84.6%). It is assumed by the researcher that most of the doctors refuse to perform abortion because of having inadequate knowledge. On the contrary Rehan, (2003) reported that among 114 health professionals all of them were aware of the country abortion law. Of these 67.3% have negative attitude towards the induced abortion. One study conducted in field sites by Saleem and Fikree (2005) reported that the causes for unplanned pregnancies were ineffective use of contraceptive and desire to have small family size. The profile of abortion seeker is similar to reports from Rehan, et.al. (2001).
Complication of unsafe abortion:
A case study of a 29-year old woman who underwent for an unsafe abortion for unintended pregnancy reported by Naqvi and Edhi, (2013) that the unskilled person perforated the uterus during D&C and pulled out the intestine through vagina. Another study conducted by Shah, Hossain, Noonari, and Khan(2011) identified that septicemia was the most common complication (79%) followed by uterine perforation or bowel perforation (30.2%). Hemorrhage accounts for third frequent complication (20.9%). Shaikh, Abbassi , Rizwan, and Abbasi (2010) conducted a study n=230 on admitted patients with complication due to unsafe abortion. induced abortion for 80% of the women were performed by the trained health professionals while for 20% abortion performed by Traditional Birth Attendant (TBA). Prevalence of Induced Abortions Essay. Major complications included uterine perforation and gastrointestinal injury, observed in (54.0%) women. Hemorrhage was observed in (26.0%) women. Of these 50 women, (12.0%) women died due to septicemia developed because of delay to avail health services after having unsafe abortion and related complications. Saleem and Fikree (2005) study findings shows that 61% of the women reported heavy vaginal bleeding and fever. 19 of these admitted for treatment due to complication of unsafe abortion. (7/19) received blood transfusion. D&C was the most frequent method for induction. This report indicates that induced abortion is a significant reproductive health problem causing morbidity and fatality, which needs special attention of the policy makers. Moreover, Rahim, Shafqat, and Faiz, (2011) study findings revealed that 9 women out of 268 died due to unsafe abortion in Peshawar, Pakistan, which accounts for 3.4% MMR.
Gap analysis: Despite the fact that induceds abortion is prohibited by the law and religion findings of the studies suggest that it fairly prevalent in the country. Majority of women, who develop complications, seek treatment from public hospital. Consequently the hospital studies do not represent the true profile of the abortion seekers living in community level. Moreover, findings of this study will purely depict profile abortion seeker and their problems which will enable the health professionals to plan safe and better care for them. Emphasis should be placed on improving the technical expertise of the health professionals in order to enable them to provide safe abortion care and treat unsafe abortion related complication. All those facilities which provide abortion care should be monitored against the WHO standards. Post abortion family planning counseling should be the part of the service.
By preventing abortions related complications and deaths we can save our children from becoming motherless.
References
Grimes, D. A., Benson, J., Singh, S., Romero, M., Ganatra, B., Okonofua, F. E., & Shah, I. H. (2006). Unsafe abortion: the preventable pandemic.The Lancet,368(9550), 1908-1919.
Khan, A. (2013). inducedd Abortion in Pakistan: Community Based Research.JPMA. The Journal of the Pakistan Medical Association,63(4 Suppl 3), S27-32.
Korejo, R., Noorani, K. J., & Bhutta, S. (2003). Sociocultural determinants of inducedd abortion. Journal of the College of Physicians and Surgeons–Pakistan: JCPSP, 13(5), 260.
Ǻhman, E., & Shah, I. H. (2011). New estimates and trends regarding unsafe abortion mortality.International Journal of Gynecology & Obstetrics,115(2), 121-126.
Naqvi, K. Z., & Edhi, M. M. (2013). The horror of unsafe abortion: case report of a life threatening complication in a 29-year old woman.Patient safety in surgery,7(1), 1-4.
Rahim, R., Shafqat, T., & Faiz, N. R. (2011). An analysis of direct causes of maternal mortality.Journal of Postgraduate Medical Institute (Peshawar-Pakistan),20(1).
Rehan, N. (2003). Attitudes of health care providers to inducedd abortion in Pakistan. J Pak Med Assoc, 53(7), 293-6.
Rehan, N., Inayatullah, A., & Chaudhary, I. (2001). Characteristics of Pakistani women seeking abortion and a profile of abortion clinics. Journal of women’s health & gender-based medicine, 10(8), 805-810.
Saleem, S., & Fikree, F. F. (2005). The quest for small family size among Pakistani women-is voluntary termination of pregnancy a matter of choice or necessity?. quest.
Sathar, Z. A., Singh, S., & Fikree, F. F. (2007). Estimating the incidence of abortion in Pakistan.Studies in Family Planning,38(1), 11-22.Prevalence of Induced Abortions Essay.
Shah, N., Hossain, N., Noonari, M., & Khan, N. H. (2011). Maternal mortality and morbidity of unsafe abortion in a university teaching hospital of Karachi, Pakistan.JPMA-Journal of the Pakistan Medical Association,61(6), 582.
Shaikh, Z., Abbassi, R. M., Rizwan, N., & Abbasi, S. (2010). Morbidity and mortality due to unsafe abortion in Pakistan. International Journal of Gynecology & Obstetrics, 110(1), 47-49.
“WHO, Unsafe abortion: Global and regional estimates of the …” 2011. 22 Feb. 2014 <http://whqlibdoc.who.int/publications/2011/9789241501118_eng.pdf>
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“Unsafe Abortion: Unnecessary Maternal Mortality.” 2009. 22 Feb. 2014 <http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2709326/>
“Safe and unsafe inducedd abortion – World Health Organization.” 2014. 22 Feb. 2014 <http://apps.who.int/iris/bitstream/10665/75174/1/WHO_RHR_12.02_eng.pdf?ua=1>
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Rehan, N, Attiya Inayatullah, and Iffat Chaudhary. “Characteristics of Pakistani women seeking abortion and a profile of abortion clinics.” Journal of women’s health & gender-based medicine 10.8 (2001): 805-810.
Shah, Nusrat et al. “Maternal mortality and morbidity of unsafe abortion in a university teaching hospital of Karachi, Pakistan.” JPMA-Journal of the Pakistan Medical Association 61.6 (2011): 582.
Shah, Nusrat et al. “Maternal mortality and morbidity of unsafe abortion in a university teaching hospital of Karachi, Pakistan.” JPMA-Journal of the Pakistan Medical Association 61.6 (2011): 582.
Rahim, Rehana, Tanveer Shafqat, and Nasreen Ruby Faiz. “An analysis of direct causes of maternal mortality.” Journal of Postgraduate Medical Institute (Peshawar-Pakistan) 20.1 (2011).
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The recently promulgated 2010 constitution of Kenya permits abortion when the life or health of the woman is in danger. Yet broad uncertainty remains about the interpretation of the law. Unsafe abortion remains a leading cause of maternal morbidity and mortality in Kenya. Prevalence of Induced Abortions Essay. The current study aimed to determine the incidence of induced abortion in Kenya in 2012.
The incidence of induced abortion in Kenya in 2012 was estimated using the Abortion Incidence Complications Methodology (AICM) along with the Prospective Morbidity Survey (PMS). Data were collected through three surveys, (i) Health Facilities Survey (HFS), (ii) Prospective Morbidity Survey (PMS), and (iii) Health Professionals Survey (HPS). A total of 328 facilities participated in the HFS, 326 participated in the PMS, and 124 key informants participated in the HPS. Abortion numbers, rates, ratios and unintended pregnancy rates were calculated for Kenya as a whole and for five geographical regions.
In 2012, an estimated 464,000 induced abortions occurred in Kenya. This translates into an abortion rate of 48 per 1,000 women aged 15–49, and an abortion ratio of 30 per 100 live births. About 120,000 women received care for complications of induced abortion in health facilities. About half (49 %) of all pregnancies in Kenya were unintended and 41 % of unintended pregnancies ended in an abortion.
This study provides the first nationally-representative estimates of the incidence of induced abortion in Kenya. An urgent need exists for improving facilities’ capacity to provide safe abortion care to the fullest extent of the law. All efforts should be made to address underlying factors to reduce risk of unsafe abortion. Prevalence of Induced Abortions Essay.
Peer Review reports
Every year, 22 million women worldwide have an unsafe abortion. The majority (98 %) of these occur in developing countries [1]. The 2008 worldwide unsafe abortion rate was 14 per 1000 women aged 15–44 while the rate for Sub-Saharan Africa (SSA) was much higher at 31 per 1000 women of reproductive age [1, 2]. Studies conducted in SSA have shown that induced abortions in the region are generally unsafe as the majority of them are illegal [3–7]. In countries where access to safe and legal abortion is limited, many women with unintended pregnancies resort to unsafe abortions [8].
The risks of unsafe abortion run along a continuum [9] ranging from severe morbidity (hemorrhage, sepsis, organ failure) [10–12] to no complications. While abortion is getting safer worldwide, evidence indicates a higher rate of hospitalization due to unsafe abortion complications for the Eastern Africa region (10 per 1000 women aged 15–44 years) than for sub-Saharan Africa overall (7.5 per 1000 women aged 15–44 years). Sub-Saharan Africa has the highest rates of hospitalization due to unsafe abortion worldwide [13].
Maternal mortality, to which unsafe abortion is a major contributor, is unacceptably high in Kenya according to the last Kenya Demographic and Health Survey (2008–2009), with about 488 maternal deaths per 100,000 live births [14] while the World Health Organization (WHO) estimates 413 maternal deaths per 100,000 live births in 2008 [15]. The WHO estimated the Eastern African region where Kenya belongs to have the highest (18 %) proportion of maternal deaths being attributed to unsafe abortion in 2008 [1]. Another study on maternal mortality in urban slums in Nairobi estimated the maternal mortality ratio in the slums to be 706 deaths per 100,000 live births with 31 % of these deaths being attributed to abortion complications [4]. Prevalence of Induced Abortions Essay. According to a 2002 study which was conducted before the 2010 constitutional reform, about 21,000 women were admitted annually to public hospitals with abortion complications in Kenya. This translated into an annual incidence of abortion-related complications of 3.0 per 1000 women aged 15–49 years [3].
Until recently, the abortion law in Kenya was highly restrictive and only permitted abortion to save the life of the woman. With the 2010 promulgation of the new Constitution, abortion became a subject of much discussion in the country because the new abortion law states that abortion is permitted if the life or health of the woman is in danger [16]. The clause, “to protect the woman’s health,” is interpreted by some to mean that abortions on-demand are now legal under the Kenyan constitution. This ambiguity remains and providers are unsure of whether they would be protected by the Constitution if they were to provide abortions under the health clause. Following the enactment of the new constitution, no new legislation has been made to offer clarification and provide guidance on the operationalization on what the new legislation in the constitutions seeks to achieve. Furthermore, women seeking abortions are often not aware of conditions under which abortion may now be deemed legal in Kenya [17]. Barriers such as social, cultural and religious beliefs that condemn abortion will continue to limit access even if it were legally permitted [17]. Thus, many unsafe abortions and associated complications are likely continuing to occur in the country and yet the extent of the burden is unknown [1].
The earlier and only abortion incidence study in Kenya was a public hospital-based study conducted in 2004. This study estimated the abortion rate to be 45 per 1000 women of reproductive age (15–49 years) [18]. This study used only a Prospective Morbidity Survey (PMS). It also did not attempt to distinguish between induced and spontaneous abortions and only larger public health facilities were included in the sample. In this paper, we present estimates of the national and regional incidence of induced abortion in Kenya in 2012 based on a representative sample of all health facilities that provide post-abortion care (PAC) in both the public and private sector. By quantifying abortion incidence, this study also provides estimates of the unintended pregnancies in Kenya in 2012.
Estimates of abortion incidence in Kenya were derived using an indirect estimation method; the Abortion Incidence Complications Methodology (AICM) in conjunction with the Prospective Morbidity Survey (PMS) [19] that involves use of original data collected in three surveys. This approach was recently used by Singh et al. in Ethiopia [7] and Levandowski et al. in Malawi [20]. Prevalence of Induced Abortions Essay.
The Kenya Essential Package for Health (KEPH) defines six levels of preventive and curative public and private health service provision which are listed on the Health Management Information System’s (HMIS) Master Facility List [21]. Level I represents the lowest level of health care at community level with no physical infrastructure, level II facilities are dispensaries and clinics, level III facilities consist of health centers and maternity homes, level IV facilities consists of district hospitals, level V facilities consists of regional referral hospitals and level VI facilities provide specialty care and it consists of tertiary referral hospitals.
The Master Facility List obtained January 31, 2012 was used to identify the facilities with the potential to provide PAC1 services from both the public and private sector. The universe included 2,838 health facilities from levels II-VI. Due to limited resources, we needed to collapse geographic regions with similar geographical and cultural characteristics to conduct the sampling thus the eight provinces in Kenya were combine into five geopolitical regions namely; 1) Nairobi and Central (N&C) ; 2) Coast and North Eastern (C&NE) ; 3) Eastern (E); 4) Nyanza and Western (N&W) and 5) Rift Valley (RV).
A stratified random sampling approach was used to select the health facilities to be surveyed. The health facilities were stratified by region and level or type of facility. All the level V and VI facilities were included because these facilities are most likely to manage and treat high numbers of abortion-related complications in Kenya. Level II-IV facilities’ sampling fractions varied as follows, depending on the region: level IV health facilities were sampled at 18–36 %; level III health facilities at 10–17 %; while level II facilities were represented at 5–19 % of all facilities in that level and geopolitical region.
The total number of facilities selected was 350 (Table 1) (~12 % of all facilities). Of the 350 sampled health facilities, we obtained complete questionnaires from 328 health facilities for the HFS and 326 facilities for the PMS. Prevalence of Induced Abortions Essay. Public facilities had a response rate of 99 % while the private for-profit and private not-for-profit sector had response rates of 92 % and 80 %, respectively. The study received very high response rates because the Ministry of Health (MOH) encouraged participation as the MOH was one of the study partners and as such, provided approval letters for the study as well as facilitated the study obtaining approval letters from MOH. Of the 6 % of the facilities that did not participate, reasons for non-response included unwillingness by facility officials to participate in the study for unspecified reasons (5 %) and inaccessibility of the facility to interviewers due to political insecurity (1 %). Of the 94 % of the facilities that agreed to participate in the study, less than 3 % (2 facilities) of the records had missing caseload data which was imputed using the mean computed from non-missing data available from facilities that were in the same level and ownership as the facility to be imputed. Prevalence of Induced Abortions Essay.
Data for this study were collected from three different sources: (a) a survey of post-abortion care (PAC) providers in a nationally-representative sample of public and private health facilities (the Health Facilities Survey (HFS)); (b) a survey of patients seeking abortion care presenting over a 30-day period in health facilities (the Prospective Morbidity Survey (PMS)); and (c) interviews with a sample of purposively-selected key informants from different regions of Kenya who are knowledgeable about reproductive health issues including abortion and PAC-related issues (the Health Professionals’ Survey (HPS)). The study protocol received full research ethics board approvals from the Kenya Medical Research Institute (KEMRI), Nairobi (NON SSC No. 320) on the 24th of February 2012 and from the Guttmacher Institute, USA (IRB00002197) on the 18th of April 2012.
The HFS interviews were conducted with a health professional knowledgeable about post-abortion care at each selected facility. At large facilities, such as referral hospitals, the respondent was the chief of the obstetrics and gynecology department or an obstetrician-gynecologist. Prevalence of Induced Abortions Essay. At lower level facilities, a nurse, midwife or another health worker in a position to provide information about abortion care in that facility was interviewed. Each respondent was interviewed using a face-to-face structured questionnaire.
Retrospective estimates of the number of in- and out-patient PAC cases treated at that facility in the past month and typical month were obtained from HFS respondents. In the event that the respondent was unable to give the monthly estimates, retrospective estimate of the past year and typical year were requested. HMIS data on the PAC cases treated in that facility were also collected. Other information captured in the survey included the health facilities’ PAC services including infrastructure in place, equipment’s used, and information on family planning counseling services offered to post-abortion care patients visiting the facilities.
The PMS captured data on each woman who obtained abortion-related care in the same health facilities in which the HFS was being conducted during a 30 day period so as to capture abortion morbidity as well as the number of patients seeking treatment. Prevalence of Induced Abortions Essay. The inclusion criteria included all women, those seeking treatment for post-abortion complications and those with a gestational age of less than 24 weeks. The study team trained those who managed such patients and those who would be available to do this task for the one month period. In addition, in the high volume facilities, more than one PAC provider was trained to collect data. Data collected for each case included patients’ demographics, morbid symptoms, diagnosis on admission, types of treatment received and outcome of the treatment. Data collectors for the PMS were PAC providers at each facility. The PMS was filled out as part of their patient management procedures and many of the questions were filled from provider observations. No patient identifiers were collected. Stringent data quality measures were put in place: supervisors did quality assurance checks to ensure correct data collection protocols were followed during the 30 day data collection period. Fieldwork was conducted between April and May 2012 for both the HFS and PMS. Prevalence of Induced Abortions Essay.
Respondents were selected as HPS respondents because of their extensive knowledge about the provision of abortion and post-abortion care in the country. They included researchers, nurses, midwives, clinical officers, lawyers, and obstetrician/gynecologists from different regions of Kenya. A total of 124 key informants were interviewed in-person using a structured questionnaire which covered respondents’ perceptions regarding the type of providers women seek abortions from, the likelihood women will experience complications that require treatment in a facility according to the type of abortion provider used, and the likelihood that women who need treatment will receive it at a health facility. These questions were asked for four major sub-groups within the population: rural poor, rural non-poor, urban poor and urban non-poor. This information was used in the calculation of the multiplier (see section on “Calculating the multiplier”). Prevalence of Induced Abortions Essay. The HPS interviewers, senior professionals in the field, were trained on the study’s methodology and the questionnaire. Data collection took place between April and August, 2012.
For all study components, informed verbal consent was sought from all participants.
Other data sources used to conduct the incidence calculations include the 2008/9 Kenya Demographic and Health Survey (KDHS) which provided information on fertility, contraceptive prevalence, unmet need for contraception, birth wantedness and measures of access to health care [14]. Additionally, the 2009 Kenyan Census was used to estimate the number of women aged 15–49 in 2012 for each region and nationally [22]. Prevalence of Induced Abortions Essay. Finally, the 2005/06 Kenya Integrated Household Budget Survey was used to estimate the proportion of poor/non-poor in urban/rural settings in Kenya [23].
To estimate the annual incidence of induced abortions in Kenya, the following inputs were used:
The estimated annual total number of women treated for abortion complications was estimated using monthly postabortion cases provided in each facility using both retrospective (HFS) and prospective (PMS) data. These were averaged to provide a best estimate of post-abortion care provision for each facility. Results were weighted according to type of health facility and region to produce nationally representative estimates of the number of women who obtained treatment for abortion complications in health facilities in Kenya in 2012. Prevalence of Induced Abortions Essay.
Because of the difficulty in classifying patients according to whether they had an induced or a spontaneous abortion, we used an indirect estimation technique to subtract out all spontaneous abortions. Available clinical studies [24, 25] indicate that of all recognized pregnancies, 85 % will end in live births and 15 % in miscarriages. An assumption of AICM is that women with first trimester spontaneous abortions will usually not need medical care in health facilities while late miscarriages (between 13–21 weeks gestation) are likely to require facility-based care. This percent constitutes 2.9 % of all recognized pregnancies, or 3.41 % of all live births [24, 25]. There were an estimated 1,546,000 live births in Kenya in 2012 (applying age-specific fertility rates from the 2008/09 KDHS [14] to women of reproductive age, estimated by projecting from the 2009 Census [22]). Therefore, the estimated number of late miscarriages in 2012 was 52,703, obtained by multiplying the number of live births by 3.41 %.
However, while these women may need care, they may not seek it or obtain it as access to healthcare facilities is very limited in most parts of Kenya and therefore many women may not be able to reach a facility that provides PAC services [19, 26, 27]. Also, others may choose not to seek care out of fear, cultural beliefs or for many other reasons. In addition, the proportion of births supervised by a skilled birth attendant in Kenya is quite low (43.8 %) [14]. Therefore, we assumed, as a measure of access to health care, that the same proportion of women who delivered their last birth in a health facility would be able to seek care for a second trimester miscarriage. Prevalence of Induced Abortions Essay.Using the 2008/09 KDHS [14], we estimated that 47 % would seek care for a second trimester miscarriage as well as those who did not deliver in a facility but whose reasons for not delivering in a health facility suggest that they would do so when care is needed for a miscarriage (23 %). The calculated estimate for women accessing care for complications of late miscarriages was 70 % nationally (ranging from 62–92 % among regions). We therefore subtracted 70 % of all women with late-term miscarriages from the total number of women treated for abortion complications in 2012 to obtain the number of women treated for abortion complications.
Not all women who have induced abortions experience complications and not all those with complications obtain needed care in health facilities [9]. Prevalence of Induced Abortions Essay. Some have no complications and some have mild complications that do not require treatment in health facilities. Still others have serious complications requiring treatment but do not receive treatment in health facilities. Data from the HPS [19] were used to estimate the proportion who received treatment in facilities among all women who had induced abortions (specifically using the proportions provided by the key informants on a) the types of providers women go to for induced abortions, b) the likelihood of experiencing a complication according to type of provider and c) the likelihood of getting care for abortion complications; all of these probabilities are estimated for the four sub-groups of women (rural/urban and poor/non-poor)). The inverse of this proportion is a factor that, when multiplied by the number of women treated annually in health facilities for complications from induced abortion, yields an estimate of the total number of women who had induced abortions in a given year. Since these estimates are not precise, we developed a range for the multiplier to produce low, medium and high estimates. Prevalence of Induced Abortions Essay. Taking the HPS-based multiplier as the medium estimate, the low and the high estimates were generated by adding and subtracting one, respectively, from the medium estimate. A higher multiplier suggests safer abortion care and/or less accessibility to health facilities while a lower multiplier suggests less safe abortions and/or more accessibility to the health facilities. The product of the low and high multipliers and the number of women treated annually in health facilities for unsafe abortion complications provides a range around the total number of women having abortions in Kenya in 2012, based on the medium or preferred multiplier. One multiplier estimate was used for Nairobi and the Central region combined because of their closeness in proximity and access to health care. The other multiplier was calculated for the rest of the country as the rest of the country is considered more comparable in terms of access to health care and abortion safety.
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To calculate the number of unintended pregnancies in 2012 and the unintended pregnancy rates, we first calculated the number of unplanned births. Unplanned births were calculated by applying the proportion of births that were mistimed or unwanted at the time of conception from the 2008/09 KDHS to the estimated number of live births in 2012. Prevalence of Induced Abortions Essay.The estimates for unplanned births in Kenya were calculated for each region separately from the KDHS. A model-based approach generated from clinical studies of pregnancy loss by gestational age was used to estimate the number of pregnancies ending in miscarriages (including stillbirths) [24, 25]. Based on these studies, spontaneous pregnancy losses are estimated to be approximately 20 % of live births and 10 % of induced abortions. We applied 20 % to the numbers of births and 10 % to the number of abortions to estimate the number of miscarriages occurring in Kenya in 2012.
Combining the numbers of unintended births, unintended pregnancies ending in miscarriages and induced abortions yields an estimate of the overall total number of unintended pregnancies in 2012. Unintended pregnancy rates were then calculated and expressed per 1,000 women of reproductive age (15–49). The number of intended pregnancies was estimated as the total of planned births plus intended pregnancies that ended as miscarriages. Finally, the proportion of pregnancies that were unintended as a percentage of all pregnancies was calculated. Prevalence of Induced Abortions Essay.
We estimated that in 2012 about 157,000 women received care in Kenyan health facilities for complications of induced and spontaneous abortions (Table 2). An estimated 52,700 late miscarriages occurred of which 37,850 received care in health facilities. Thus, about 120,000 women (157,353 minus 37,850) were treated for unsafe abortion complications in health facilities in Kenya in 2012. This means that 12 per 1000 women aged 15–49 received health care for unsafe abortion complications in Kenya in 2012 (Table 3). The incidence of treated induced abortion morbidity ranges from 5 per 1000 women aged 15–49 in the Eastern region to 16 per 1000 women aged 15–49 in the combined Nyanza & Western and the Rift Valley regions. Prevalence of Induced Abortions Essay.