High prevalence of cesarean section delivery among health facilities delivered mothers in Bahir Dar city, Amhara region, Ethiopia. A comparative study

2019 ◽  
Author(s):  
Meseret Bantigegn Melesse ◽  
Alehegn Bishaw Geremew ◽  
Solomon Mekonnen Abebe

Abstract Background Cesarean section delivery prevalence rate has been in an alarming increase worldwide each year; there are large disparities of CS proportion among women who give birth at a public and private health facility. However, there is a lack of evidence regarding the underlying factors and the proportion of CS delivery in public and private health facilities. Therefore this study aimed to asses and compare the prevalence of CS delivery and associated factors among public and private health facilities delivered mother in Bahir Dar city, Amhara region, Ethiopia, Methods An institution-based comparative cross-sectional study design was conducted from March1-April 15, 2019 health facility in Bahir Dar city. Study participants 724(362 for each public and private facility) were recruited through a systematic random sampling technique. Structured interview administered questionnaires and chart review checklist were used to collect data. The data were entered with Epi info version 7.2 and analyzed using SPSS version 23.0 software. A binary logistic regression model was fitted and an adjusted odds ration with 95% CI was used to determine the presence and strength of association between independent variables and cesarean section delivery. Results The response rate was 98.3% and 97.2% for public and private health facilities respectively. The prevalence of CS in private health facilities was198 (56.3%) (95%CI: 50.9, 61.4) and 98 (27.5%) (95%CI: 22.8, 32.2) was in public health facilities. Overall prevalence of CS delivery was 296(41.8%) (95% CI: 38.4, 45.5). Breech presentation (AOR=3.64; 95%CI (1.49, 8.89), urban residence (AOR=6.54; 95%CI (2.59, 16.48) and being referred (AOR=2.44; 95%CI (1.46, 4.08)were variables significantly associated with CS among public facility whereas age between 15-24 (AOR=0.20, 95% CI; 0.07,0.52),governmental employee (AOR=2.28;95%CI (1.39,3.75),self-employed (AOR=3.73;95%CI(1.62,8.59),Para one(AOR=6.79;95%CI(2.02,22.79) Para two (AOR=3.88;95% CI(1.15,13.08), and wealth index being highest level of wealth asset AOR=5.39; 95%CI (1.08, 26.8) in private health facility: Conclusion and recommendation We concluded that there is a statistically significant difference in the prevalence of CS delivery in public and private health facilities. Therefore, there should be a mechanism for a medical audit of labor management.

2020 ◽  
Author(s):  
Richard Mugambe ◽  
Habib Yakubu ◽  
Solomon Wafula ◽  
Tonny Ssekamatte ◽  
Simon Kasasa ◽  
...  

Abstract Background: Child birth in health facilities is generally associated with lower risk of maternal and neonatal mortality. However, in Uganda, little is known about factors that influence use of health facilities for delivery especially in rural areas. In this study, we examined the determinants of mothers’ decision of the choice of child delivery place in Western Uganda.Methods: Cross-sectional data was collected from 894 randomly-sampled mothers within the catchment of two private hospitals in Rukungiri and Kanungu districts. Data was collected on the place of delivery for the most recent child, mothers’ sociodemographic characteristics, health facility water, sanitation and hygiene (WASH) status. Modified Poisson regression was used to estimate prevalence ratios (PRs) for the determinants of mothers’ choice of delivery place as well as determinants for the choice of private versus public facility for delivery at 95% confidence intervals. Results: Majority of mothers (90.2%) delivered in health facilities. Non-facility deliveries were attributed to fast progression of labour (77.3%), lack of transport (31.8%) and high cost of hospital delivery (12.5%). Being engaged in business as an occupation [APR = 1.06, 95% CI (1.01 – 1.11)] and belonging to the highest wealth quintile [APR = 1.09, 95% CI (1.02 – 1.17)] favoured facility delivery while higher parity of 3 – 4 [APR = 0.93, 95% CI (0.88 – 0.99)] was inversely associated with facility delivery as compared to parity of 1-2. Choice of private facility over public facility was influenced by how mothers valued factors such as high skilled health workers [APR = 1.15, 95% CI (1.05 – 1.26)], higher quality of WASH services [APR = 1.11, 95% CI (1.04 – 1.17)], cost of the delivery [APR = 0.85, 95% CI (0.78 – 0.92)] and availability of caesarean services [APR = 1.13, 95% CI (1.08 – 1.19)].Conclusion: Utilization of health facility child delivery services was high. Health facility delivery service utilization was influenced by engaging in business, belonging to wealthiest quintile and being multiparous. Choice of private versus public health facility for child delivery was influenced by health facility WASH status, cost of services, and availability of skilled workforce and caesarean services.


BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e036966 ◽  
Author(s):  
Jackline Oluoch-Aridi ◽  
Francis Wafula ◽  
Gilbert Kokwaro ◽  
Mary B Adam

ObjectiveTo examine how women living in an informal settlement in Nairobi perceive the quality of maternity care and how it influences their choice of a delivery health facility.DesignQualitative study.SettingsDandora, an informal settlement, Nairobi City in Kenya.ParticipantsSix focus group discussions with 40 purposively selected women aged 18–49 years at six health facilities.ResultsFour broad themes were identified: (1) perceived quality of the delivery services, (2) financial access to delivery service, (3) physical amenities at the health facility, and (4) the 2017 health workers’ strike.The four facilitators that influenced women to choose a private health facility were: (1) interpersonal treatment at health facilities, (2) perceived quality of clinical services, (3) financial access to health services at the facility, and (4) the physical amenities at the health facility. The three barriers to choosing a private facility were: (1) poor quality clinical services at low-cost health facilities, (2) shortage of specialist doctors, and (3) referral to public health facilities during emergencies.The facilitators that influenced women to choose a public facility were: (1) physical amenities for dealing with obstetric emergencies and (2) early referral to public maternity during antenatal care services. Barriers to choosing a public facility were: (1) perception of poor quality clinical services, (2) concerns over security for newborns at tertiary health facilities, (3) fear of mistreatment during delivery, (4) use of unsupervised trainee doctors for deliveries, (5) poor quality of physical amenities, and (6) inadequate staffing.ConclusionThe study provides insights into decision-making processes for women when choosing a delivery facility by identifying critical attributes that they value and how perceptions of quality influence their choices.


2021 ◽  
Author(s):  
Angela Kairu ◽  
Stacey Orangi ◽  
Boniface Mbuthia ◽  
Joanne Ondera ◽  
Nirmala Ravishankar ◽  
...  

Abstract Background: How health facilities are financed affects their performance and health system goals. We examined how health facilities in the public sector are financed in Kenya, within the context of a devolved health system.Methods: We carried out a cross-sectional study in five purposely selected counties in Kenya, using a mixed methods approach. We collected data using document reviews and in-depth interviews (no=20). In each county, we interviewed county department of health managers and health facility managers from two and one purposely selected public hospitals and health center respectively. We analyzed qualitive data using thematic analysis and conducted descriptive analysis of quantitative data.Results: Planning and budgeting: Planning and budgeting processes by hospitals and health centers were not standardized across counties. Budgets were not transparent and credible, but rather were regarded as “wish lists” since they did not translate to actual resources. Sources of funds: Public hospitals relied on user fees, while health centers relied on donor funds as their main sources of funding. Funding flows: Hospitals in four of the five study counties had no financial autonomy. Health centers in all study counties had financial autonomy. Flow of funds to hospitals and health centers in all study counties was characterized by unpredictability of amounts and timing. Health facility expenditure: Staff salaries accounted for over 80% of health facility expenditure. This crowded out other expenditure and led to frequent stock outs of essential health commodities. Conclusion: The national and county government should consider improving health facility financing in Kenya by 1) standardizing budgeting and planning processes, 2) transitioning public facility financing away from a reliance on user fees and donor funding 3) reforming public finance management laws and carry out political engagement to facilitate direct facility financing and financial autonomy of public hospitals, and 4) assess health facility resource needs to guide appropriate levels resource allocation.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Cauane Blumenberg ◽  
Franciele Hellwig ◽  
Aluisio Barros

Abstract Background Most studies rely on clustered analyses to study how the characteristics of health facilities influence individual outcomes. Our aim was to perform a probabilistic linkage between individual and health facility data to enable individual-level analyses. Methods We linked data from the most recent female questionnaire from 11 countries monitored by the Performance Monitoring for Action 2020 to a master health facility dataset (appending all rounds of surveys). Only women that reported which type of facility they visited were considered in the analysis. A probabilistic linkage was performed using 13 blocking variables (e.g., facility type and cluster of residence/location of the woman/facility) and 11 matching variables (e.g., types of contraceptive methods used/offered by the women/facility). Each concordant matching variable received a + 1 score, or a 0 score otherwise. We assessed linkage quality by pooled odds ratio of non-matches according to wealth tertiles (richest vs. poorest) and area of residence (urban vs. rural) using a meta-analytical approach. Results A total of 21,102 women and 7,056 facilities were considered in the linkage process. The average match rate was 57.9%, ranging from 42.5% in Indonesia to 69.1% in Burkina Faso. The pooled odds of non-match were 74% higher for the richest women compared to the poorest, and 67% higher for women living in urban areas compared to rural areas. Conclusions High match rates were achieved in countries with sufficient information on public and private facilities. The lack of information about private facilities contributed to the higher odds of non-match among the better off. Key messages We performed a probabilistic linkage approach to link individual and health facility data, making it possible to understand how the characteristics of health facilities can influence individual-level outcomes. Our findings also bring light to the importance of sampling both public and private facilities, aiming to maximise match rates and reduce differences on match rates according to socio demographic characteristics of the sample.


2014 ◽  
Vol 17 (3) ◽  
pp. A140
Author(s):  
D. Kwesiga ◽  
S. Kiwanuka ◽  
N. Kiwanuka ◽  
D. Mafigiri ◽  
N. Kakande

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Richard K. Mugambe ◽  
Habib Yakubu ◽  
Solomon T. Wafula ◽  
Tonny Ssekamatte ◽  
Simon Kasasa ◽  
...  

Abstract Background Health facility deliveries are generally associated with improved maternal and child health outcomes. However, in Uganda, little is known about factors that influence use of health facilities for delivery especially in rural areas. In this study, we assessed the factors associated with health facility deliveries among mothers living within the catchment areas of major health facilities in Rukungiri and Kanungu districts, Uganda. Methods Cross-sectional data were collected from 894 randomly-sampled mothers within the catchment of two private hospitals in Rukungiri and Kanungu districts. Data were collected on the place of delivery for the most recent child, mothers’ sociodemographic and economic characteristics, and health facility water, sanitation and hygiene (WASH) status. Modified Poisson regression was used to estimate prevalence ratios (PRs) for the determinants of health facility deliveries as well as factors associated with private versus public utilization of health facilities for childbirth. Results The majority of mothers (90.2%, 806/894) delivered in health facilities. Non-facility deliveries were attributed to faster progression of labour (77.3%, 68/88), lack of transport (31.8%, 28/88), and high cost of hospital delivery (12.5%, 11/88). Being a business-woman [APR = 1.06, 95% CI (1.01–1.11)] and belonging to the highest wealth quintile [APR = 1.09, 95% CI (1.02–1.17)] favoured facility delivery while a higher parity of 3–4 [APR = 0.93, 95% CI (0.88–0.99)] was inversely associated with health facility delivery as compared to parity of 1–2. Factors associated with delivery in a private facility compared to a public facility included availability of highly skilled health workers [APR = 1.15, 95% CI (1.05–1.26)], perceived higher quality of WASH services [APR = 1.11, 95% CI (1.04–1.17)], cost of the delivery [APR = 0.85, 95% CI (0.78–0.92)], and availability of caesarean services [APR = 1.13, 95% CI (1.08–1.19)]. Conclusion Health facility delivery service utilization was high, and associated with engaging in business, belonging to wealthiest quintile and having higher parity. Factors associated with delivery in private facilities included health facility WASH status, cost of services, and availability of skilled workforce and caesarean services.


2019 ◽  
Vol 65 (5) ◽  
pp. 427-438 ◽  
Author(s):  
Gokul Sarveswaran ◽  
Yuvaraj Krishnamoorthy ◽  
Manikandanesan Sakthivel ◽  
Karthiga Vijayakumar ◽  
Shanthosh Priyan ◽  
...  

Abstract Background Understanding the factors associated with private sector preference for vaccination will help in understanding the barriers in seeking public facility and also the steps to improve public–private partnership (PPP) model. Methods We analysed the recent National Family Health Survey-4 data (NFHS-4; 2015–16) gathered from Demographic Health Survey programme. Stratification and clustering in the sample design was accounted using svyset command. Results Weighted proportion of children receiving private vaccination was 10.0% (95% CI: 9.7–10.3). Children belonging to highest wealth quantile (adjusted Prevalence ratio; aPR-1.58), male child (aPR-1.07) urban area (aPR-1.11), not receiving anganwadi/Integrated Childhood Development Services (aPR-1.71) and receiving antenatal care in private sector was significantly associated with higher proportion of private vaccination. Conclusion Current study showed that 1 in 10 <5 years child in India received vaccination from private health facility. Preference for private health facility was found to be influenced by higher socio-economic strata, urban area residence and seeking private health facility for antenatal and delivery services.


Sign in / Sign up

Export Citation Format

Share Document