title: The impact of the family planning supply environment on contraceptive intentions and use in Morocco.
abstract: Although the extent to which organized family planning programs influence reproductive preferences remains a subject of debate, most observers would grant that such programs play a key role in helping individuals to realize their contraceptive and reproductive intentions. However, few prior studies have quantified the magnitude of this facilitating or enabling effect of family planning services, given existing demand for contraception. This study takes advantage of panel survey data and linked information on the supply environment for family planning services in Morocco in order to bridge this research gap. In the analysis, contraceptive use during the 1992-95 period is related to contraceptive intentions in 1992; individual-, household-, and community-level determinants of contraceptive behavior; and family planning supply factors. Estimation procedures are used that control for unobserved joint determinants of contraceptive intentions and use. Evidence of a significant enabling or facilitating role of family planning services is found, and the results also suggest that family planning program factors influence contraceptive intentions in important ways.
authors.affiliation: Department of International Health and Development, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA. magnani@mailhost.tcs.tulane.edu
authors.forename: R J
authors.initials: RJ
authors.lastname: Magnani
authors.forename: D R
authors.initials: DR
authors.lastname: Hotchkiss
authors.forename: C S
authors.initials: CS
authors.lastname: Florence
authors.forename: L A
authors.initials: LA
authors.lastname: Shafer
mesh_terms: D000293:Adolescent; D000328:Adult; D003268:Contraception Behavior; D005193:Family Planning Services / Q000600:supply & distribution; D005260:Female; D006297:Health Services Accessibility; D006306:Health Surveys; D006801:Humans; D033182:Intention; D008875:Middle Aged; D009018:Morocco; D015999:Multivariate Analysis; D012044:Regression Analysis; D017062:Small-Area Analysis