scholarly journals Using family planning service statistics to inform model-based estimates of modern contraceptive prevalence

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258304
Author(s):  
Niamh Cahill ◽  
Emily Sonneveldt ◽  
Priya Emmart ◽  
Jessica Williamson ◽  
Robinson Mbu ◽  
...  

The annual assessment of Family Planning (FP) indicators, such as the modern contraceptive prevalence rate (mCPR), is a key component of monitoring and evaluating goals of global FP programs and initiatives. To that end, the Family Planning Estimation Model (FPEM) was developed with the aim of producing survey-informed estimates and projections of mCPR and other key FP indictors over time. With large-scale surveys being carried out on average every 3–5 years, data gaps since the most recent survey often exceed one year. As a result, survey-based estimates for the current year from FPEM are often based on projections that carry a larger uncertainty than data informed estimates. In order to bridge recent data gaps we consider the use of a measure, termed Estimated Modern Use (EMU), which has been derived from routinely collected family planning service statistics. However, EMU data come with known limitations, namely measurement errors which result in biases and additional variation with respect to survey-based estimates of mCPR. Here we present a data model for the incorporation of EMU data into FPEM, which accounts for these limitations. Based on known biases, we assume that only changes in EMU can inform FPEM estimates, while also taking inherent variation into account. The addition of this EMU data model to FPEM allows us to provide a secondary data source for informing and reducing uncertainty in current estimates of mCPR. We present model validations using a survey-only model as a baseline comparison and we illustrate the impact of including the EMU data model in FPEM. Results show that the inclusion of EMU data can change point-estimates of mCPR by up to 6.7 percentage points compared to using surveys only. Observed reductions in uncertainty were modest, with the width of uncertainty intervals being reduced by up to 2.7 percentage points.

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Jennifer Sherwood ◽  
Alana Sharp ◽  
Brian Honermann ◽  
Caitlin Horrigan ◽  
Meghna Chatterjee ◽  
...  

2021 ◽  
Author(s):  
Dickens Onyango ◽  
Katherine Tumlinson ◽  
Stephanie Chung ◽  
Brooke Bullington ◽  
Catherine Gakii ◽  
...  

Abstract Background: Women seeking family planning services from public-sector facilities in low- and middle-income countries sometimes face provider-imposed barriers to care. Social accountability is an approach that could address provider-imposed barriers by empowering communities to hold their service providers to account for service quality. Yet little is known about the feasibility and potential impact of such efforts in the context of contraceptive care. We piloted a social accountability intervention - the Community Score Card (CSC) - in three public healthcare facilities in western Kenya and use a mix of quantitative and qualitative methodologies to describe the feasibility and impact on family planning service provision. Methods: We implemented and evaluated the CSC in a convenience sample of three public-sector facility-community dyads in Kisumu County, Kenya. Within each dyad, communities met to identify and prioritize needs, develop corresponding indicators, and used a score card to rate the quality of family planning service provision and monitor improvement. To ensure young, unmarried people had a voice in identifying the unique challenges they face, youth working groups (YWG) led all CSC activities. The feasibility and impact of CSC activities were evaluated using mystery client visits, unannounced visits, focus group discussions with YWG members and providers, repeated assessment of score card indicators, and service delivery statistics. Results: The involvement of community health volunteers and supportive community members – as well as the willingness of some providers to consider changes to their own behaviors - were key score card facilitators. Conversely, community bias against family planning was a barrier to wider participation in score card activities and the intractability of some provider behaviors led to only small shifts in quality improvement. Service statistics did not reveal an increase in the percent of women receiving family planning services. Conclusion: Successful and impactful implementation of the CSC in the Kenyan context requires intensive community and provider sensitization, and pandemic conditions may have muted the impact on contraceptive uptake in this small pilot effort. Further investigation is needed to understand whether the CSC – or other social accountability efforts – can result in improved contraceptive access.


Author(s):  
Ann K. Blanc ◽  
Katharine J. McCarthy ◽  
Charlotte Warren ◽  
Ashish Bajracharya ◽  
Benjamin Bellows

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Lemessa Assefa ◽  
Zemenu Shasho ◽  
Habtamu Kebebe Kasaye ◽  
Edao Tesa ◽  
Ebisa Turi ◽  
...  

Abstract Background Men involvement is one of the important factors in family planning (FP) service utilization. Their limitation in the family planning program causes a decrease in service utilization as well as the discontinuation of the method which eventually leads to failure of the program. Family planning uptake is low but there is no enough study conducted on the parameters of husband involvement in Ethiopia. Hence, this study focused to assess men’s involvement in family planning service utilization in Kondala district, western Ethiopia. Methods Community based comparative cross-sectional study design was employed in urban and rural kebeles of kondala district using quantitative and qualitative data collection tools. The multi-stage sampling method was employed to select 370 participants from each of the four urban and eight rural kebeles. Logistic regression analysis was used to identify variables that affect husbands’ involvement in FP service utilization. Statistical significance was declared at p-value of < 0.05 with 95% confidence interval (CI) and strength of association was reported by odds ratio (OR). Results The study showed that 203(55.6%) men from urban and 178(48.8%) from rural were involved in FP service utilization. The median age of the respondents was 36+ 8.5 years (IQR: 27.5–44.5) in urban and 35 years (IQR: 25–45) in rural parts. Respondents who had four and above current children (AOR = 3.25, 95%CI = 1.51–7.02) in urban and (AOR = 4.20, 95%CI = 1.80–9.79) in rural were positively associated with men’s involvement in FP service utilization. In the urban setting, being government employee (AOR = 2.58, 95%CI = 1.25–5.33), wishing less than two children (AOR = 3.08, 95%CI = 1.80–5.24) and having a better attitude towards FP methods (AOR = 1.86, 95%CI = 1.16–2.99) were positively associated with FP service utilization. While good educational background (AOR = 2.13, 95%CI = 1.02–4.44), short distance from home to health facility (AOR = 2.29, 95%CI = 1.24–4.19) and having better knowledge (AOR = 4.49, 95%CI = 2.72–7.38) were positively associated with men involvement in FP service utilization in the rural area. Conclusion Low involvement of men in family planning service utilization was reported in both settings. Factors associated with husbands’ involvement were varied between the two setups, except for the current number of children. Future FP program should incorporate infrastructure associated with the health facility, knowledge, and attitudinal factors.


2015 ◽  
Vol 2015 ◽  
pp. 1-17 ◽  
Author(s):  
Jembere Gizachew Balew ◽  
Yongtae Cho ◽  
Clara Tammy Kim ◽  
Woorim Ko

Family planning coverage has improved in Ethiopia in the last decade, though fertility is still about 5.8 in the rural setup. In this paper, the major structural determinants of family planning service were analyzed using a multilevel model from 8906 individual women observation in the 2011 EDHS data. The results show that there is a big variation in family planning use both at the individual and between group levels. More than 39% of the variation in FP use is explained by contextual cluster level differences. Most of the socioeconomic predictors; respondent’s education, ethnicity, and partners’ education as well as employment status and urbanization were found to be significant factors that affect FP use. Similarly health extension visit and media access were found to be strong factors that affect FP service at both individual and cluster levels. This evidence concludes that addressing these contextual factors is very crucial to strengthen FP use and fertility reduction in the nation, beyond individual behavioral changes.


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