Contraceptive Prevalence and Family Planning Program Effort in Zimbabwe

1987 ◽  
Vol 13 (1) ◽  
pp. 1 ◽  
Author(s):  
Esther Boohene ◽  
Thomas E. Dow
Keyword(s):  
Family Planning ◽  
Family Planning Program ◽  
Planning Program ◽  
Program Effort ◽  
Contraceptive Prevalence

scholarly journals QUADRANT ANALYSIS OF TOTAL FERTILITY RATE AND CONTRACEPTIVE PREVALENCE RATE OF DISTRICT AND CITY IN EAST JAVA

2020 ◽  
Vol 9 (2) ◽  
pp. 87
Author(s):  
Kiki Adi Mutiari ◽  
Kuntoro Kuntoro
Keyword(s):  
Family Planning ◽  
Total Fertility Rate ◽  
Prevalence Rate ◽  
Family Planning Program ◽  
Fertility Rate ◽  
Quadrant Analysis ◽  
Planning Program ◽  
Contraceptive Prevalence Rate ◽  
Contraceptive Prevalence ◽  
The Government

One of the indicators determine the wellness of Family Planning Program is the high number of participants enrolling, or commonly known as the Contraceptive Prevalence Rate (CPR) and the number of children born known as the Total Fertility Rate (TFR) of a maximum of 2 children. There are several regions in East Java where the situation of TFR and CPR does not show the ideal conditions. This shows that there are problems in the current family planning program. This research was conducted to map districts and cities in East Java based on TFR and CPR data respectively in quadrant form. This type of research is on-reactive research which utilizes secondary data from Indonesia - National Socio-Economic Survey in 2015. The research method used is recapitulating data and classifying districts and cities in the form of quadrants by comparing to data on achievement of TFR and CPR in East Java using SPSS. The results of the study have mapped districts and cities in East Java which are described in quadrant form. The regions that need major attention from the government are regions in quadrants I and II. Quadrant III is included in an abnormal condition and quadrant IV is a quadrant that has an area where TFR and CPR conditions are ideal. The conclusions of this study are the areas in quadrant I, namely: Sampang (district), Blitar (city), Blitar (district), Tulungagung (district), Ponorogo (district), Madiun (city), and Pasuruan (city) are the priority in getting the FP program improvements. The advice that can be given is to evaluate the ongoing family planning program to find out the factors that cause the TFR and CPR conditions are not in line with government expectations.

scholarly journals Setting the stage for strengthened annual monitoring of family planning program performance at the state/national level in Myanmar

2019 ◽  
Vol 3 ◽  
pp. 1541
Author(s):  
Khaing Nwe Tin ◽  
Jessica Williamson ◽  
Emily Sonneveldt
Keyword(s):  
Information System ◽  
Family Planning ◽  
Management Information System ◽  
Family Planning Program ◽  
National Level ◽  
Management Information ◽  
Planning Program ◽  
Contraceptive Prevalence Rate ◽  
Contraceptive Prevalence ◽  
Valid Information

Background: Although Myanmar has made good progress in family planning by increased contraceptive prevalence rate (CPR) from 41% in 2007 to 52.2% in 2016, it remains lower than the target of 60% by 2020. There are also huge disparities sub-nationally, ranging from 25% to 60%. While there is a strong need to monitor the progress of family planning program regularly at the national and sub-national level, Myanmar has limited surveys, data quality and methodological issues in its Health Management Information System (HMIS), and a scattered rollout of the Logistic Management Information System (LMIS). Methods: To identify viable options for annual monitoring, four data sources: modelled contraceptive prevalence rate for modern methods (mCPR) estimates from Track20’s  Family Planning Estimation Tool (FPET); method-specific prevalence from the  2015-16 Myanmar Demographic and Health Survey (DHS); mCPR estimates and method prevalence from  HMIS and estimates of modern method use (EMU) based on commodity consumption data from LMIS, were compared for the years 2015-2017. Estimates of mCPR from HMIS were tested for accuracy based on whether they fell within the 95% confidence interval of mCPR estimates from the FPET for the corresponding years. EMU from LMIS was also tested for those years and states/regions where available. Results: For annual tracking of mCPR, direct estimates of HMIS were considered carefully, as they were much higher than those of the DHS survey and were not matched by FPET results, except in Chin and Kayin. To monitor the method mix, HMIS data can be used as these are similar pattern with DHS in both national and State/Regional level except Chin and Kayin. LMIS could be used in annual tracking when there are high reporting rates and valid information of consumption. Conclusions: Track20’s FPET is the method of choice to get valid information for annual monitoring of family planning program.

scholarly journals Setting the stage for strengthened annual monitoring of Family Planning program performance at the National and Subnational level in Myanmar

2019 ◽  
Vol 3 ◽  
pp. 1541
Author(s):  
Khaing Nwe Tin ◽  
Jessica Williamson ◽  
Emily Sonneveldt
Keyword(s):  
Information System ◽  
Family Planning ◽  
Management Information System ◽  
Prevalence Rate ◽  
Family Planning Program ◽  
Management Information ◽  
Planning Program ◽  
Contraceptive Prevalence Rate ◽  
Contraceptive Prevalence ◽  
Valid Information

Background: Although Myanmar has made good progress in family planning by increased contraceptive prevalence rate (CPR) from 41% in 2007 to 52.2% in 2016, it remains lower than the target of 60% by 2020. There are also huge disparities sub-nationally, ranging from 25% to 60%. While there is a strong need to monitor the progress of family planning program regularly at the national and sub-national level, Myanmar has limited surveys, data quality and methodological issues in its Health Management Information System (HMIS), and a scattered rollout of the Logistic Management Information System (LMIS). Methods: To identify viable options for annual monitoring, four data sources: modelled contraceptive prevalence rate for modern methods (mCPR) estimates from Track20’s  Family Planning Estimation Tool (FPET); method-specific prevalence from the  2015-16 Myanmar Demographic and Health Survey (DHS); mCPR estimates and method prevalence from  HMIS and estimates of modern method use (EMU) based on commodity consumption data from LMIS, were used to compare for the years 2015-2017. Estimates of mCPR from HMIS were tested for accuracy based on whether they fell within the 95% confidence interval of mCPR estimates from the FPET for the corresponding years. EMU from LMIS was also tested for those years and States/Regions where available. Results: For annual tracking of mCPR, direct estimates of HMIS were considered; they were much higher than those of the DHS survey and were not matched by FPET results, except in Chin and Kayin. To monitor the method mix, HMIS data can be used as these are similar pattern with DHS in both national and State/Regional level except Chin and Kayin. LMIS could be used in annual tracking when there are high reporting rates and valid information of consumption. Conclusions: Track20’s FPET is the method of choice to get valid information for annual monitoring of family planning program.

Measuring Family Planning Program Effort at the Provincial Level: A Vietnam Application

1999 ◽  
Vol 25 (1) ◽  
pp. 4 ◽  
Author(s):  
Pham Bich San ◽  
John A. Ross ◽  
Nguyen Lan Phuong ◽  
Nguyen Duc Vinh
Keyword(s):  
Family Planning ◽  
Family Planning Program ◽  
Planning Program ◽  
Provincial Level ◽  
Program Effort

scholarly journals Setting the stage for strengthened annual monitoring of family planning program performance at the state/national level in Myanmar

2019 ◽  
Vol 3 ◽  
pp. 1541
Author(s):  
Khaing Nwe Tin ◽  
Jessica Williamson ◽  
Emily Sonneveldt
Keyword(s):  
Information System ◽  
Family Planning ◽  
Management Information System ◽  
Family Planning Program ◽  
National Level ◽  
Management Information ◽  
Planning Program ◽  
Contraceptive Prevalence Rate ◽  
Contraceptive Prevalence ◽  
Valid Information

Background: Although Myanmar has made good progress in family planning by increased contraceptive prevalence rate (CPR) from 41% in 2007 to 52.2% in 2016, it remains lower than the target of 60% by 2020. There are also huge disparities sub-nationally, ranging from 25% to 60%. While there is a strong need to monitor the progress of family planning program regularly at the national and sub-national level, Myanmar has limited surveys, data quality and methodological issues in its Health Management Information System (HMIS), and a scattered rollout of the Logistic Management Information System (LMIS). Methods: To identify viable options for annual monitoring, four data sources: modelled contraceptive prevalence rate for modern methods (mCPR) estimates from Track20’s  Family Planning Estimation Tool (FPET); method-specific prevalence from the  2015-16 Myanmar Demographic and Health Survey (DHS); mCPR estimates and method prevalence from  HMIS and estimates of modern method use (EMU) based on commodity consumption data from LMIS, were used to compare for the years 2015-2017. Estimates of mCPR from HMIS were tested for accuracy based on whether they fell within the 95% confidence interval of mCPR estimates from the FPET for the corresponding years. EMU from LMIS was also tested for those years and states/regions where available. Results: For annual tracking of mCPR, direct estimates of HMIS were considered; they were much higher than those of the DHS survey and were not matched by FPET results, except in Chin and Kayin. To monitor the method mix, HMIS data can be used as these are similar pattern with DHS in both national and State/Regional level except Chin and Kayin. LMIS could be used in annual tracking when there are high reporting rates and valid information of consumption. Conclusions: Track20’s FPET is the method of choice to get valid information for annual monitoring of family planning program.

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