- Open Access
The infrastructural capacity of Ghanaian health facilities to provide safe abortion and post-abortion care: a cross-sectional study
BMC Health Services Research volume 21, Article number: 1104 (2021)
Ghana is one of few countries in sub-Saharan Africa with relatively liberal abortion laws, but little is known about the availability and quality of abortion services nationally. The aim of this study was to describe the availability and capacity of health facilities to deliver essential PAC and SAC services in Ghana.
We utilized data from a nationally representative survey of Ghanaian health facilities capable of providing post-abortion care (PAC) and/or safe abortion care (SAC) (n = 539). We included 326 facilities that reported providing PAC (57%) or SAC (19%) in the preceding year. We utilized a signal functions approach to evaluate the infrastructural capacity of facilities to provide high quality basic and comprehensive care. We conducted descriptive analysis to estimate the proportion of primary and referral facilities with capacity to provide SAC and PAC and the proportion of SAC and PAC that took place in facilities with greater capacity, and fractional regression to explore factors associated with higher structural capacity for provision.
Less than 20% of PAC and/or SAC providing facilities met all signal function criteria for basic or comprehensive PAC or for comprehensive SAC. Higher PAC caseloads and staff trained in vacuum aspiration was associated with higher capacity to provide PAC in primary and referral facilities, and private/faith-based ownership and rural location was associated with higher capacity to provide PAC in referral facilities. Primary facilities with a rural location were associated with lower basic SAC capacity.
Overall very few public facilities have the infrastructural capacity to deliver all the signal functions for comprehensive abortion care in Ghana. There is potential to scale-up the delivery of safe abortion care by facilitating service provision all health facilities currently providing postabortion care.
SAC provision is much lower than PAC provision overall, yet there are persistent gaps in capacity to deliver basic PAC at primary facilities. These results highlight a need for the Ghana Ministry of Health to improve the infrastructural capability of health facilities to provide comprehensive abortion care.
Ghana is one of few countries in sub-Saharan Africa with relatively liberal abortion laws . Since 1985, abortion has been legal in cases of rape, defilement, incest, fetal abnormality or disease or to protect physical or mental health . The Ghanaian government has attempted to expand access to safe abortion care (SAC) and post-abortion care (PAC) over the past 25 years via policies, clinical guidelines, and health workforce trainings [2,3,4]. However, access to high quality SAC is not universal in Ghana where there continues to be stigma around obtaining abortions, [5, 6] and poor knowledge of the abortion law by women [7, 8] and some providers . Access to PAC remains essential in this context because complications can occur for women with miscarriages and induced abortions,  and a substantial number of Ghanaian women continue to experience unsafe induced abortions. A study using data from the 2017 Ghana Maternal Health Survey estimated that 64% of Ghanaian women who self-reported an abortion during the last five years described the conditions, procedures or providers of their abortion procedures as unsafe . A recently published paper by Polis et al. (which used data from the same survey as the present analysis) estimated that 71% of induced abortions in Ghana were illegal . While researchers have recommended decentralization of comprehensive abortion care (CAC)- which includes both PAC and SAC- to primary healthcare facilities as a strategy to increase access to CAC, [13,14,15] evidence from maternal health suggests that improving quality of care is more impactful than simply expanding access to care for women . Providing access to high-quality SAC and PAC – which both require similar equipment and staffing - is essential to ensure women can meet their reproductive desires, while avoiding the morbidity and mortality associated with unsafe abortion.
Although some data exists on women’s experiences obtaining induced abortions in Ghana, an evidence gap remains around the availability and quality of SAC and PAC in Ghanaian health facilities. A study conducted by the Ghana Health Service and Ipas in 2007 found that 25% of public facilities reported providing PAC. Half of the public hospitals had two or more functional manual vacuum aspirators (MVAs), whilst 8% of primary care facilities have one or more functional MVAs . Evidence from other low- and middle-income countries (LMICs) suggests that the capacity of primary level facilities to deliver basic PAC services is very low  and that PAC and SAC caseloads are much lower in primary-level facilities than in higher level facilities .
To date, studies on quality of reproductive healthcare in Ghana have focused on routine and emergency obstetric and newborn care, finding that, in the rural Brong Ahafo region, capacity to provide services was low [19,20,21]. While 68% of all births were in facilities, only 18% occurred in facilities rated as high quality [19,20,21]. Evidence from a maternal health study in five countries in sub-Saharan Africa suggests that lower delivery volume was consistently associated with poorer quality of care . An important step towards improving quality of care is evaluating current quality of care and associated factors. However, there is minimal recent systematic evidence on the relationship between CAC quality and caseload volume in LMICs to guide policy decisions on how governments can balance the expansion of access to abortion care with ensuring consistent delivery of high-quality services within limited healthcare budgets [23, 24]. This decision may range from allowing all lower-level and lower patient volume health facilities to provide both components of CAC care (PAC and SAC) at one end (which expands geographic access considerably), to concentrating staffing and resources within fewer high-volume facilities to ensure high-quality care (which may include some, but not all primary-level facilities) at the other .
To inform policymakers aiming to increase access to high quality care, we conducted an analysis to describe the infrastructural capacity of health facilities to deliver essential PAC and SAC services in Ghana. Our goals were to estimate the proportion of primary and referral facilities with high infrastructural capacity in 2017, the proportion of SAC and PAC that took place in facilities with high infrastructural capacity, and the association between client volume, and infrastructural capacity to provide care accounting for other facility factors.
Material and methods
Sampling and inclusion
We utilized data from a nationally representative survey of Ghanaian health facilities capable of providing PAC and/or SAC . The full details on sampling can be found in this paper .
In summary, from a list of all eligible health facilities reporting data through the District Health Management System in 2017 (n = 2758), we selected 608 facilities using a two-stage stratified cluster sampling design with four strata. One stratum, sampled with certainty, contained all teaching (n = 4) and regional (n = 10) hospitals. The other strata contained all remaining facility levels in each of Ghana’s three ecological zones. We selected facilities in the Northern zone at twice the rate of facilities elsewhere to enable computation of representative estimates in all zones, and calculated weights as nonresponse-adjusted inverses of known selection probabilities. We completed interviews in 539 (89%) of the sampled facilities.
In this analysis, we included only those 326 facilities that reported having at least one PAC patient (unweighted n = 317, 57% of sampled facilities) or SAC patient (unweighted n = 103, 19% of sampled facilities) in the prior 12 months. We only included facilities with patients in the last 12 months because we were trying to assess the actual capacity of facilities to provide PAC and SAC not their theoretical capability as data were collected on services provided within this period. Thus, if a facility had not delivered services, it would have null answers to all the relevant questions for analysis. Assessing theoretical capability would have involved asking questions about their ability to deliver services even if they have not provided them within the period of interest and is more likely to overestimate their overall functioning .
Our sampling frame did not include 21 NGO facilities that provide PAC or SAC. In the original study, we obtained caseloads from NGOs directly and did not conduct the full health facility assessment in these sites . Using aggregated PAC and SAC caseloads provided by these NGOs, we found that most PAC cases were seen in non-NGO facilities (99%) and 25% of SAC cases were performed by NGOs .
At each facility, following informed consent, trained interviewers surveyed a senior personnel member knowledgeable about PAC and, where relevant, SAC at that facility. Interviews were conducted by 17 individuals (bachelors, masters or PhD students), each with several years’ experience conducting interviews on sexual and reproductive health issues, all of whom participated in an eight day training to ensure consistent data collection using standardized instruments were supervised by seven senior staff members . All study activities were performed in accordance with the relevant guidelines and regulations at the facilities.
In this study, we use infrastructural capability to provide PAC and SAC as a proxy measure for the quality of PAC and SAC within the health system. We adapted the signal functions approach for comprehensive abortion care published by Campbell et al. to evaluate infrastructural capability to deliver these services (Tables 1 and 2) . Initially developed by the United Nations [26, 27] to evaluate the provision of emergency obstetric care, signal functions have been adapted for different healthcare interventions, including abortion . The signal function approach typically consists of a shortlist of indicators to assess health facilities capability to provide the most effective or life-saving interventions for managing the most common complications within a health service area. Signal functions for abortion address the commonest signs and symptoms of serious abortion-related complications, which are severe hemorrhage and infection. These are typically due to incomplete abortion, infections related to incomplete abortion (e.g., septic abortions, severe systemic infection), or invasive procedures -- lacerations or perforations which may lead to peritonitis. To manage these complications (especially as they start to get more serious), the shortlist of indicators proposed for PAC by Campbell (which also overlap with emergency obstetric care signal functions proposed by the WHO) include -- removal of retained products of conception (using vacuum aspiration or medication abortion), ability to administer parenteral antibiotics (which is critical for women who are very ill and not table to ingest orally), fluid replacement, etc. (see Table 1).
Overall, quality of care is a challenging concept to measure because it is a multi-dimensional construct. Studies evaluating quality of care have tended to utilize the Donabedian framework and attempted to evaluate one or more of the three theoretical domains of health service quality he described- structure or inputs to care, process or content of care, and the outcomes of care. Signal functions consist of key structural (input) indicators and past performance of interventions (process) indicators, and are typically defined for two levels of care within the health system: basic and comprehensive.
Basic care is defined as the minimum service that primary (and higher) facilities should be able to provide, and comprehensive care is defined as the minimum care referral facilities should be able to provide. Signal functions do not provide any information on the content or outcomes of the essential care indicators evaluated. As part of our adaptations, we did not include all the staffing signal functions that Campbell and colleagues recommend. For measurement of basic and comprehensive PAC, we assumed that our signal function of availability of staff trained in PAC on duty or on call 24 h, 7 days a week encompassed the following signal functions: the facility was open 24 h per day, 7 days per week with at least one health professional on duty for SAC and at least three health professionals registered for PAC. We also used the availability of a functional operating room as a proxy for surgical/laparotomy capability (as one of ten components fulfilling the definition for comprehensive PAC) because we did not collect data on whether the facility performed emergency laparoscopy, laparotomy, or hysterectomy in the three months preceding data collection. We assessed the capability of primary facilities to provide basic PAC and SAC and of referral facilities to provide basic and comprehensive PAC and SAC (Table 1). Abortion-related signal functions are a helpful approach of evaluating facility-level quality because they utilize a condensed list of indicators which can be easily collected as an additional module in surveys. Further, they are usually summarized into aggregate indicators of basic and comprehensive capability which are aligned with primary and higher-level care in each context. This makes it relatively easy to compare facility performance them across countries and with other maternal health services that have been similarly assessed.
We sought guidance for study planning and dissemination from our Technical Advisory Committee, which included community representatives and technical experts. We also evaluated the proportion of facilities that had copies of the most recent Ghana Health Service comprehensive abortion care (CAC) guidelines  available on site as these guidelines lay out how high quality abortion care is intended to be provided within the Ghana Health Service.
We classified health centers, health clinics, and maternity homes as primary facilities and we classified teaching, regional, district/university, and other hospitals as referral facilities .
PAC and SAC caseloads
We elicited information on the number of patients who received PAC or SAC in each facility in the last year; details on how we calculated caseloads are published elsewhere .
Drawing on the approach used by Kruk et al.,  in an analysis with similar objectives, we grouped PAC caseloads into the following categories: ≤ one PAC patient per month (i.e. ≤12 per year); up to one per week (i.e. 13–52 per year); up to two per week (i.e. 53–104 per year); ≥ three per week (i.e. ≥105 per year). For SAC caseloads, we used similar categories but combined the first and second of these categories, as few SAC-providing facilities reported ≤ one SAC patient per month.
We determined frequencies of each signal function criterion met for primary (basic only) and referral facilities (basic and comprehensive). For each signal function, we assigned a 1 if the function was available and a 0 if not. If data was missing the facility received a score of zero. We computed total scores indicating each facility’s availability of every signal function item out of the total theoretical availability for each capacity level: basic PAC (maximum score 9) or SAC (maximum score 6) and comprehensive PAC (maximum score 10) or SAC (maximum score 8).
For each category of PAC and SAC, we converted each facility’s total score into a proportion out of 1 by dividing by the possible maximum score for each category to generate a proportional capacity score. After calculating percentiles of these proportions, we created categories of infrastructural capacity using the following thresholds: low capacity (<50th percentile), medium capacity (50th–79th percentile), or high capacity (≥80th percentile).
To examine factors associated with the capacity to provide care, we conducted fractional outcome regressions using the continuous proportional capacity scores for basic and comprehensive PAC and SAC as the dependent variables. We investigated associations between capacity scores and all the following facility characteristics: PAC and SAC caseloads, managing authority (public or private/faith-based), location (urban/rural), and presence of one or more staff trained in manual vacuum aspiration (MVA) or electric vacuum aspiration (EVA) in one model. Descriptive statistics and regression models were weighted for the complex survey design. Estimation of confidence intervals incorporated sample stratification and clustering. We conducted analyses in Stata 16.0 .
Although Ghana has made substantial efforts to improve access to PAC and SAC, over half of non-NGO facilities reported providing care for PAC (57%) while fewer reported providing SAC (19%) patients in the preceding 12 months. Among PAC-providing facilities, referral facilities had greater capacity to provide most signal functions than primary facilities (Table 2). For instance, 96% of referral facilities had capacity to remove retained products of conception versus 59% of primary facilities. An exception was for family planning related functions: a higher proportion of primary facilities offered family planning seven days a week (88%) and provided one modern, short-acting method (57%) compared to referral facilities (79 and 41%, respectively). Overall, less than 60% of primary facilities reported the capability to provide signal functions related to the specific treatment services within basic PAC (results not shown). For comprehensive PAC signal functions, a higher proportion of facilities were able to provide the requisite services to treat complications. In addition to the services under basic PAC, around two-thirds (61%) of referral facilities could provide blood transfusions, 75% reported offering one long-acting reversible or permanent contraceptive method, and 86% reported having a functional operation room. The ability to meet staffing requirements for PAC appeared challenging for many facilities and only 57% of primary facilities and 41% of referral facilities had PAC trained staff on call 24/7.
In contrast, capacity to provide basic SAC signal functions was similar between primary and referral facilities, and staffing requirements for SAC were more easily met than for PAC. However, only one-quarter of SAC-providing referral facilities could perform dilatation and evacuation for second trimester abortions. Out of all facilities in the sample that reported offering PAC and/or SAC, only 24% had the CAC guidelines on-site.
Less than 20% of PAC and/or SAC providing facilities were able to provide all the signal functions for basic or comprehensive PAC and comprehensive SAC (results not shown). Half of PAC-providing primary facilities were classified as medium capacity for PAC (49%), whilst most SAC-providing primary facilities (86%) and PAC- (61%) and SAC-providing (65%) referral facilities were classified as high capacity (Fig. 1). A disproportionate number of cases, particularly for PAC, were treated at facilities classified as high capacity (Fig. 1), but still, less than half (43%) of PAC cases treated in primary facilities were treated in a facility classified as high capacity, whereas in referral facilities, the majority of PAC cases were treated in high-capacity facilities (83%). Conversely, almost all SAC cases at primary facilities were treated in facilities classified as high capacity (93%) while the proportion of SAC cases treated in referral facilities classified as high capacity was 74%.
In multivariable analysis, higher PAC caseloads were significantly associated with higher basic and comprehensive capacity in primary and referral facilities, respectively (Table 3). For example, compared with the reference group of one PAC patient per month or less, having up to one PAC patient per week increases the capacity for care score by 0.07 (95% CI: 0.02, 0.12) while greater than two PAC patients per week increases the capacity score by 0.28 (95% CI: 0.15, 0.42). Having a staff member trained in MVA/EVA was associated with higher basic PAC capacity in primary facilities by 0.12 (95% CI: 0.07, 0.18) (Table 3). In referral facilities, private or faith-based ownership was associated with lower comprehensive capacity by 0.07 (95% CI: − 0.13, 0.01) compared to government facilities. Referral facilities located in rural areas were associated with higher comprehensive capacity. Having a staff member trained in MVA/EVA was also associated with higher comprehensive PAC capacity by 0.23 (95% CI: 0.11, 0.35). While SAC caseloads, managing authority, and annual number of deliveries were not significantly associated with basic or comprehensive SAC capacity in primary or referral facilities, being in a rural area was associated with lower basic SAC capacity.
To our knowledge, this is the first nationally representative study examining the system-level infrastructural capacity for PAC and SAC provision in Ghanaian health facilities using a signal functions approach. Less than 20% of PAC and/or SAC providing facilities could provide all signal functions for basic or comprehensive PAC or for comprehensive SAC. Our results are similar to evidence from Zambia, which like Ghana has a relatively liberal abortion law,  but a recent study reports very low capability of facilities to provide basic and comprehensive PAC and SAC using similar signal functions criteria, and lower provision of SAC compared with PAC despite the law .
Although referral facilities had greater capacity than primary facilities to provide most of the basic SAC and PAC functions, primary facilities reported greater capability pertaining to family planning offerings. This is similar to findings in other low- and middle-income countries . It is important that a range of contraceptive methods is available and services are provided at the same location where PAC or SAC takes place, to ensure sufficient method choice where women are counselled so that they can choose a method voluntarily, and to protect against future unintended pregnancies .
The association between basic and comprehensive PAC capacity and caseload is similar to findings from other African countries examining delivery volume and obstetric care quality . Women may be more likely to go to facilities they perceive as providing higher quality care, [33,34,35] and this reputation may be connected to the availability of key infrastructure and staff . Indeed, we observed strong associations between the presence of staff trained in MVA/EVA and greater PAC capacity. It is also possible that with higher PAC caseloads, staff can practice PAC provision skills, and their facilities may be more likely to stock required commodities and employ sufficient staff. That said, there is no systematic evidence on the relationship between PAC caseload and higher capacity to provide care elsewhere in sub-Saharan Africa. In referral facilities, PAC capacity was associated with being public and rural location; potentially because the most common referral hospitals in our sample are district hospitals. These are generally public facilities and are located in rural districts even though their exact geographical locations may be more urbanized than their catchment area.
Our study had several limitations. First, we did not include NGO facilities, which managed 25% of the SAC caseload in Ghana,  so we are missing an important contributor of SAC provision in our description of SAC quality. Second, we did not have sufficient data on staffing and training to examine the capability to deliver emergency surgical care in referral facilities as part of comprehensive PAC and we omitted asking questions to assess if staff had received SAC training. Third, we also did not ask to see commodities, verify if equipment was available and functioning, or confirm process-of-care indicators (e.g. ability to remove retained products of conception) by provider observation, which would have been more objective than verbal reports by respondents. Thus, this analysis may overestimate the capability of facilities to provide PAC and SAC. Fourth, although we examined the relationship between capacity and caseloads, we did not have data on adverse outcomes to examine the relationship between structural capacity and outcomes in women obtaining PAC and SAC. Fifth, because the signal function approach focuses on the availability of inputs and commodities, it incorporates limited measures of process, and does not examine patients’ perspectives on the care they received or the occurrence of adverse clinical outcomes. Recent evidence available on quality of care measurement from maternal health across the theoretical domains of structure, process and outcomes suggests that availability of essential infrastructure correlates poorly with provision of evidence-based care to patients . Additionally, in its current form, signal functions for PAC and SAC do not include the third (and often neglected) component of the original PAC model- linkage to comprehensive reproductive health care services . There is an opportunity for health systems to provide more holistic care by encouraging providers to provide women with information about other reproductive care services available at health facilities and referring them for those, which they might benefit from after obtaining PAC or SAC treatment. Despite the limitations of the signal functions approach, there are no published validated measures of the quality of abortion care incorporating all the conceptual domains outlined by Donabedian and other researchers in low- and middle-income contexts . As researchers continue to develop and test standardized indicators to measure all domains of quality, this approach offers a relatively simple and familiar approach to examine structural and process quality in contexts where institutional capacity to deliver abortion services is not always assured, and evidence of gaps can facilitate advocacy for evidence-based policies to improve health outcomes .
In summary, while fewer non-NGO facilities report providing SAC than PAC, the inputs to provide basic SAC are not universally available at primary or referral facilities reporting SAC provision. In addition, amongst facilities that provide PAC, there are gaps in capacity to deliver basic and comprehensive PAC. These results highlight a need for the Ghana Ministry of Health to improve the infrastructural capability of health facilities to provide CAC services. We recommend that the Ministry of Health ensures that the national CAC guidelines are available and implemented in all facilities. Increasing access to SAC is logistically achievable for Ghana, as SAC requires similar equipment and staffing as PAC, which more health facilities reported providing. Also, improving PAC quality is necessary because it is an essential emergency service that can mitigate the adverse effects of complications from miscarriages and unsafe abortions, which are still prevalent in Ghana . Additionally, routine tracking and monitoring systems which incorporate relevant indicators in district health information and hospital supply chain systems should be organized to consistently evaluate the infrastructural capability of facilities to deliver comprehensive abortion care. More evidence on the relationship between caseload and greater quality is needed to guide policy decisions about the location and distribution of PAC and SAC provision. Future studies on quality of abortion care in Ghana should also incorporate data on adherence to evidence-based recommendations and patient outcomes, including their experiences of care. More holistic measures of quality are essential to improve the performance of the health system and achieve better reproductive health outcomes amongst women in Ghana and other low- and middle-income countries.
Availability of data and materials
The datasets generated and/or analyzed during the current study are not publicly available as they contain sensitive information about health facilities. De-identified versions of the raw Health Facilities Survey and Knowledgeable Informants Survey datasets collected by the authors and used in this analysis are available from Guttmacher Institute on reasonable request to researchers who wish to use the data for scholarly analysis. To discuss obtaining copies of these datasets, please contact firstname.lastname@example.org with the detailed protocol for your proposed study, and information about the funding and resources you have to carry out the study.
Comprehensive abortion care
Electric Vacuum Aspiration
Institutional Review Board
Low- and middle-income countries
Manual Vacuum Aspiration
Safe abortion care
Morhee R, Morhee E. Overview of the law and availability of abortion services in Ghana. Ghana Med J. 2006 Sep;40(3):80–6. https://doi.org/10.4314/gmj.v40i3.55256.
Rominski SD, Lori JR. Abortion care in Ghana: a critical review of the literature. Afr J Reprod Health. 2014 Sep;18(3):17–35.
Ministry of Health of the Republic of Ghana. Prevention & Management of unsafe abortion: comprehensive abortion care services standards and protocols [internet]. Accra, Ghana: Ministry of Health; 2012 Apr. Available from: https://abortion-policies.srhr.org/documents/countries/02-Ghana-Comprehensive-Abortion-Care-Services-Standards-and-Protocols-Ghana-Health-Service-2012.pdf
Sundaram A, Juarez F, Ahiadeke C, Bankole A, Blades N. The impact of Ghana’s R3M programme on the provision of safe abortions and postabortion care. Health Policy Plan. 2015;30(8):1017–31. https://doi.org/10.1093/heapol/czu105.
Aniteye P, O’Brien B, Mayhew SH. Stigmatized by association: Challenges for abortion service providers in Ghana. BMC Health Serv Res [Internet]. 2016;16(1) Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992169468&doi=10.1186%2Fs12913-016-1733-7&partnerID=40&md5=f721ddb073e89bde0ae29f45b3655058.
Schwandt HM, Creanga AA, Adanu RMK, Danso KA, Agbenyega T, Hindin MJ. Pathways to unsafe abortion in Ghana: the role of male partners, women and health care providers. Contraception. 2013;88(4):509–17. https://doi.org/10.1016/j.contraception.2013.03.010.
Assifi AR, Berger B, Tunçalp Ö, Khosla R, Ganatra B. Women’s awareness and knowledge of abortion Laws: a systematic review. PLoS One. 2016 Mar 24;11(3):e0152224. https://doi.org/10.1371/journal.pone.0152224.
Atakro CA, Addo SB, Aboagye JS, Menlah A, Garti I, Amoa-Gyarteng KG, et al. Contributing factors to unsafe abortion practices among women of reproductive age at selected district hospitals in the Ashanti region of Ghana. BMC Womens Health [Internet]. 2019;19(1) Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065243961&doi=10.1186%2Fs12905-019-0759-5&partnerID=40&md5=55be9d4339116908a8b5ebd51bd2cc3e.
Awoonor-Williams JK, Baffoe P, Ayivor PK, Fofie C, Desai S, Chavkin W. Prevalence of conscientious objection to legal abortion among clinicians in northern Ghana. Int J Gynecol Obstet. 2018;140(1):31–6. https://doi.org/10.1002/ijgo.12328.
Herrick J, Turner K, McInerney T, Castleman L. Woman-centered postabortion care: reference manual [internet]. Ipas: Chapel Hill, N.C; 2004. Available from: https://ipas.azureedge.net/files/PACREFE13-WomenCenteredPostabortionCareReferenceManual.pdf
Boah M, Bordotsiah S, Kuurdong S. Predictors of Unsafe Induced Abortion among Women in Ghana [Internet]. Journal of Pregnancy. 2019 [cited 2019 Oct 1]. Available from: https://www.hindawi.com/journals/jp/2019/9253650/
Polis CB, Castillo PW, Otupiri E, Keogh SC, Hussain R, Nakua EK, et al. Estimating the incidence of abortion: using the abortion incidence complications methodology in Ghana, 2017. BMJ Glob Health. 2020;5(4):e002130. https://doi.org/10.1136/bmjgh-2019-002130.
Vlassoff M, Singh S, Onda T. The cost of post-abortion care in developing countries: a comparative analysis of four studies. Health Policy Plan. 2016 Oct;31(8):1020–30. https://doi.org/10.1093/heapol/czw032.
Baynes C, Diadhiou M, Lusiola G, O’Connell K, Dieng T. Clients’ perceptions of the quality of post-abortion care in eight health facilities in Dakar. Senegal J Biosoc Sci. 2021 Jul;30:1–16. https://doi.org/10.1017/S0021932021000365.
Baynes C, Yegon E, Kimaro G, Lusiola G, Kahwa J. The Unit and Scale-Up Cost of Postabortion Care in Tanzania. Glob Health Sci Pract. 2019 Aug 22;7(Supplement 2):S327–S341.
Leslie HH, Hirschhorn LR, Marchant T, Doubova SV, Gureje O, Kruk ME. Health systems thinking: A new generation of research to improve healthcare quality. PLoS Med [Internet]. 2018 Oct 30 [cited 2020 Mar 10];15(10). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207294/
Aboagye PK, Gebreselassie H, Asare GQ, Mitchell EMH, Addy J. An Assessment of the Readiness to Offer Contraceptives and Comprehensive Abortion Care in the Greater Accra, Eastern, and Ashanti Regions of Ghana. Ipas [Internet]. 2007; Available from: https://www.rhsupplies.org/uploads/tx_rhscpublications/IPAS_assessment%20contraceptives%20%26%20abortion%20care_Ghana_2007_1.pdf.
Owolabi OO, Biddlecom A, Whitehead HS. Health systems’ capacity to provide post-abortion care: a multicountry analysis using signal functions. Lancet Glob Health. 2019;7(1):e110–8. https://doi.org/10.1016/S2214-109X(18)30404-2.
Nesbitt RC, Lohela TJ, Manu A, Vesel L, Okyere E, Edmond K, et al. Quality along the Continuum: A Health Facility Assessment of Intrapartum and Postnatal Care in Ghana. Szyld E, editor. PLoS ONE. 2013 Nov 27;8(11):e81089.
Gabrysch S, Nesbitt RC, Schoeps A, Hurt L, Soremekun S, Edmond K, et al. Does facility birth reduce maternal and perinatal mortality in Brong Ahafo, Ghana? A secondary analysis using data on 119 244 pregnancies from two cluster-randomised controlled trials. Lancet Glob Health. 2019 Aug 1;7(8):e1074–87. https://doi.org/10.1016/S2214-109X(19)30165-2.
Nesbitt RC, Lohela TJ, Soremekun S, Vesel L, Manu A, Okyere E, et al. The influence of distance and quality of care on place of delivery in rural Ghana. Sci Rep. 2016 Aug;6(1):30291. https://doi.org/10.1038/srep30291.
Kruk ME, Leslie HH, Verguet S, Mbaruku GM, Adanu RMK, Langer A. Quality of basic maternal care functions in health facilities of five African countries: an analysis of national health system surveys. Lancet Glob Health. 2016 Nov;4(11):e845–55. https://doi.org/10.1016/S2214-109X(16)30180-2.
Lince-Deroche N, Harries J, Constant D, Morroni C, Pleaner M, Fetters T, et al. Doing more for less: identifying opportunities to expand public sector access to safe abortion in South Africa through budget impact analysis. Contraception. 2018 Feb;97(2):167–76. https://doi.org/10.1016/j.contraception.2017.07.165.
Johnston HB, Gallo MF, Benson J. Reducing the costs to health systems of unsafe abortion: a comparison of four strategies. J Fam Plann Reprod Health Care. 2007 Oct 1;33(4):250–7. https://doi.org/10.1783/147118907782101751.
Campbell OMR, Aquino EML, Vwalika B, Gabrysch S. Signal functions for measuring the ability of health facilities to provide abortion services: an illustrative analysis using a health facility census in Zambia. BMC Pregnancy Childbirth. 2016 Dec;16(1):105. https://doi.org/10.1186/s12884-016-0872-5.
UNICEF, WHO, UNFPA. Guidelines for monitoring the availability and use of obstetric services. New York: United Nations Children’s Fund; 1997.
WHO, UNFPA, UNICEF, averting maternal death and disability program. Monitoring emergency obstetric care: a handbook. World health Organization; 2009.
Healy J, Otsea K, Benson J. Counting abortions so that abortion counts: indicators for monitoring the availability and use of abortion care services. Int J Gynecol Obstet. 2006;95(2):209–20. https://doi.org/10.1016/j.ijgo.2006.08.002.
Bosomprah S, Tatem AJ, Dotse-Gborgbortsi W, Aboagye P, Matthews Z. Spatial distribution of emergency obstetric and newborn care services in Ghana: using the evidence to plan interventions. Int J Gynecol Obstet. 2016 Jan;132(1):130–4. https://doi.org/10.1016/j.ijgo.2015.11.004.
Statacorp. Stata statisical software: Release 16.0. College Station, TX: StataCorp LLC; 2019.
Cresswell JA, Owolabi OO, Chelwa N, Dennis ML, Gabrysch S, Vwalika B, et al. Does supportive legislation guarantee access to pregnancy termination and postabortion care services? Findings from a facility census in Central Province. Zambia BMJ Glob Health. 2018 Sep;3(4):e000897. https://doi.org/10.1136/bmjgh-2018-000897.
Huber D, Curtis C, Irani L, Pappa S, Arrington L. Postabortion care: 20 years of strong evidence on emergency treatment, family planning, and other programming components. Glob Health Sci Pract. 2016 Sep 28;4(3):481–94. https://doi.org/10.9745/GHSP-D-16-00052.
Bailey PE, Awoonor-Williams JK, Lebrun V, Keyes E, Chen M, Aboagye P, et al. Referral patterns through the lens of health facility readiness to manage obstetric complications: national facility-based results from Ghana. Reprod Health. 2019 Feb 18;16(1):19. https://doi.org/10.1186/s12978-019-0684-y.
Kruk ME, Hermosilla S, Larson E, Mbaruku GM. Bypassing primary care clinics for childbirth: a cross-sectional study in the Pwani region, United Republic of Tanzania. Bull World Health Organ. 2014 Apr 1;92(4):246–53. https://doi.org/10.2471/BLT.13.126417.
Larson E, Hermosilla S, Kimweri A, Mbaruku GM, Kruk ME. Determinants of perceived quality of obstetric care in rural Tanzania: a cross-sectional study. BMC Health Serv Res. 2014 Oct 18;14(1):483. https://doi.org/10.1186/1472-6963-14-483.
Larson E, Gage AD, Mbaruku GM, Mbatia R, Haneuse S, Kruk ME. Effect of a maternal and newborn health system quality improvement project on the use of facilities for childbirth: a cluster-randomised study in rural Tanzania. Tropical Med Int Health. 2019;24(5):636–46. https://doi.org/10.1111/tmi.13220.
Leslie HH, Sun Z, Kruk ME. Association between infrastructure and observed quality of care in 4 healthcare services: A cross-sectional study of 4,300 facilities in 8 countries. Persson LÅ, editor. PLOS Med. 2017 Dec 12;14(12):e1002464.
Corbett MR, Turner KL. Essential elements of postabortion care: origins, evolution and future directions. Int Fam Plan Perspect. 2003 Sep;29(3):106–11. https://doi.org/10.2307/3181075.
Darney BG, Kapp N, Andersen K, Baum SE, Blanchard K, Gerdts C, et al. Definitions, measurement and indicator selection for quality of care in abortion. Contraception. 2019 Nov;100(5):354–9. https://doi.org/10.1016/j.contraception.2019.07.006.
We are grateful to the entire fielding team. We are also grateful to Jim Lepkowski for assistance developing our sampling and weighting plan, Joe Flack for programming our questionnaires in ODK, Jesse Philbin for coding assistance, and Ayana Douglas-Hall, Marjorie Crowell, Doris Chiu, and Ernest Ekutor for research assistance at various stages of the larger project.
The study on which this article is based was made possible by UK Aid from the UK Government (project #203177–101). The views expressed are those of the authors and do not necessarily reflect the positions and policies of the donors. The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. All authors had full access to all the data in the study, and the corresponding author had final responsibility for the decision to submit for publication.
Ethics approval and consent to participate
We obtained ethical approval from Guttmacher’s Institutional Review Board (IRB), the Johns Hopkins Bloomberg School of Public Health IRB, and the School of Medical Sciences/Komfo Anokye Teaching Hospital Committee on Human Research, Publications and Ethics (CHRPE/AP/210/18). The Ghana Health Service provided administrative clearance for the study. All study activities were performed in accordance with the relevant guidelines and regulations at the facilities.
Informed consent was sought from all participants in this survey. Consent forms and questionnaires were in English, as we anticipated the majority of our respondents spoke English. We ensured that interviewers travelling to various regions spoke local languages to accommodate respondents who requested interviews in a non-English language. During training, staff discussed translations for key terms in multiple languages.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Owolabi, O., Riley, T., Otupiri, E. et al. The infrastructural capacity of Ghanaian health facilities to provide safe abortion and post-abortion care: a cross-sectional study. BMC Health Serv Res 21, 1104 (2021). https://doi.org/10.1186/s12913-021-07141-5
- Post-abortion care
- Safe abortion care
- Quality of care
- Infrastructural quality