mai do and david hotchkiss tulane university
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Is There a Causal Relationship Between Maternal Health Care Utilization and Subsequent Contraceptive Use?: Evidence from Kenya and Zambia. Mai Do and David Hotchkiss Tulane University. Background. - PowerPoint PPT PresentationTRANSCRIPT
Is There a Causal Relationship Between Maternal Health Care Utilization and
Subsequent Contraceptive Use?: Evidence from Kenya and Zambia
Mai Do and David HotchkissTulane University
Background
Service integration receiving increased attention from governments and donors as way of improving efficiency and access to services
Several reasons why use of maternal health services might influence post-partum contraceptive use
Few studies have examined family planning (FP) within the context of reproductive health service delivery Mixed evidence on linkages between maternal health care (ANC,
delivery, and PNC) and post-partum FP
Research questions
Is post-partum modern FP method use related to the use of ANC and PNC relating to the index childbirth?
If so, what can be said about the linkages between these services?
Data
Most recent DHS: 2008-09 in Kenya and 2007 in Zambia
Selected Kenya and Zambia because: DHS within the last three years
DHS included a birth and contraceptive calendar
Substantial contraceptive use among married and cohabiting women
Study sample: married and cohabiting women who had a live birth within five years of the survey Kenya: 3,667 women
Zambia: 3,587 women
Methods (1)
Statistical method: Cox proportional hazard model
Dependent variable: duration (months) from childbirth to modern contraceptive adoption
Methods (2)
Independent variable: ANC and PNC service intensity score, constructed from 6 questions Timing of first ANC visit, if any
Number of ANC visits (4 or more)
Received tetanus vaccination
Received ANC from trained provider
Whether specified procedures were carried out during ANC visit (measuring weight and height, blood pressure, taking urine and blood sample, breastfeeding counseling, being told about signs of complications)
Received PNC from trained provider
Methods (3)
Main control variables Knowledge of contraceptive methods
Woman visited and talked about FP with a field worker last 12 months
Woman visited and talked about FP at a health facility last 12 months
Desire for more children
Prior use of modern contraceptive methods
Recall of FP messages in the mass media
Tests performed of exogeneity of ANC and PNC service intensity score
Country findings: Kenya
Characteristic Distribution ANC/PNC service intensity
Post-partum modern FP use
% or mean (s.e.) Coef. (s.e.) Hazard ratio (s.e.)
ANC/PNC service intensity(range: -2.75; .90)
0 (1) 1.11 (.04)*
Age at first birth 19.2 (3.4) .02 (.00)** -
Desire for more children (ref=No) 49.7 - .88 (.05)*
Number of modern methods known (knowledge)
6.7 (2.6) - 1.07 (.01)***
Visited and talked about FP at health facility last 12 months (ref=No)
20.9 - 1.21 (.07)**
Heard FP messages on the radio last few months (ref=No)
71.6 - 1.15 (.08)*
46% adopted modern FP post-partum
* p<.05; ** p<.01; *** p<.001Controls for: socio-demographic characteristics, durations of breasfeeding and amenorrrhea
Kenya:Influences of ANC and PNC services on post-partum modern FP use
Characteristic Distribution Post-partum modern FP use
% or mean (s.e.) Hazard ratio (s.e.)
ANC service intensity (range: -2.72; .88)
.1 (.9) 1.10 (.04)**
PNC service intensity (range: 0; 2.00)
.6 (.6) 1.03 (.05)
* p<.05; ** p<.01; *** p<.001Controls for all women’s characteristics mentioned before.
Country findings: Zambia
Characteristic Distribution ANC/PNC service intensity
Post-partum modern FP use
% or mean (s.e.) Coef. (s.e.) Hazard ratio (s.e.)
ANC/PNC service intensity(range: -4.07; 1.27)
0 (1) 1.08 (.03)*
Age at first birth 18.6 (3.0) .04 (.01)* -
Desire for more children (ref=No) 66.4 - .95 (.06)
Number of modern methods known (knowledge)
6.8 (2.1) - 1.04 (.01)**
Visited and talked about FP by a field worker last 12 months (ref=No)
7.8 - 1.20 (.10)*
Visited and talked about FP at health facility last 12 months (ref=No)
32.4 - 1.23 (.07)***
45.9% adopted modern FP post-partum
* p<.05; ** p<.01; *** p<.001Controls for: socio-demographic characteristics, durations of breasfeeding and amenorrrhea
Zambia:Influences of ANC and PNC services on post-partum modern FP use
Characteristic Distribution Post-partum modern FP use
% or mean (s.e.) Hazard ratio (s.e.)
ANC service intensity (range: -4.06; 1.26)
.0 (.99) 1.08 (.03)*
PNC service intensity (range: 0; 2.00)
.6 (.7) .95 (.04)
* p<.05; ** p<.01; *** p<.001Controls for all women’s characteristics mentioned before.
Conclusions
Evidence of MCH service use as mediator for individual characteristics to influence post-partum modern FP use Results suggest that maternal health care use and FP use are not
influenced by common unobserved factors
Several observed individual factors influence maternal health care use, which then influence FP use
Evidence that ANC, not PNC, service intensity related to post-partum modern FP use Need for service integration, esp. in public sector
PNC may be among the weakest aspects of RH program
Limitations
Not generalizable to all women of childbearing age Only married, cohabiting women included in the sample
Possible endogeneity between FP use and exposure to FP messages in the media and visit by FP a field worker
No data on community-level and programmatic factors
MEASURE Evaluation PRH is a MEASURE project funded by
the United States Agency for International Development
(USAID) through Cooperative Agreement GHA-A-00-08-00003-
00 and is implemented by the Carolina Population Center at
the University of North Carolina at Chapel Hill in partnership
with Futures Group International, Management Sciences for
Health, and Tulane University. Views expressed in this
presentation do not necessarily reflect the views of USAID or
the U.S. Government. MEASURE Evaluation PRH supports
improvements in monitoring and evaluation in population,
health and nutrition worldwide.