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      Estimating Causal Effects from Family Planning Health Communication Campaigns Using Panel Data: The “Your Health, Your Wealth” Campaign in Egypt

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          Abstract

          Background

          Health communication campaigns – involving mass media and interpersonal communication - have long been utilized by national family planning programs to create awareness about contraceptive methods, to shift social norms related to fertility control, and to promote specific behaviors, such as the use of condoms, injectable methods or permanent sterilization. However, demonstrating the effectiveness of these campaigns is often complicated because the infeasibility of experimental designs generally yields statistically non-equivalent samples of campaign-exposed and unexposed individuals.

          Methods

          Using data from a panel survey of reproductive age women in Egypt, we estimate the effects of the multimedia health communication campaign “Your Health, Your Wealth” (“Sahatek Sarwetek”) on precursors to contraceptive use (e.g., spousal communication, birth spacing attitudes) and on modern contraceptive use. Difference-in-differences and fixed effects estimators that exploit the panel nature of the data are employed to control for both observed and unobserved heterogeneity in the sample of women who self-report recall of the messages, thereby potentially improving upon methods that make no such controls or that rely solely on cross-sectional data.

          Findings

          All of the estimators find positive effects of the “Your Health, Your Wealth” campaign on reproductive health outcomes, though the magnitudes of those effects diverge, often considerably. Difference-in-differences estimators find that exposure to the campaign increases the likelihood of spousal discussions by 14.4 percentage points (pp.) (SE = .039, p<0.001) but has no effect on contraceptive use. In contrast, the fixed effects, instrumental variables estimator, controlling for unobserved heterogeneity, finds a large, statistically significant effect on modern contraceptive use (27.4 pp., SE = 0.135, p = 0.043).

          Conclusions

          The difficulties of evaluating family planning communication programs may be surmountable using panel data and analytic methods that address both observed and unobserved heterogeneity in exposure. Not controlling for such effects may lead to substantial underestimates of the effectiveness of such campaigns.

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          Most cited references12

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          What works in family planning interventions: a systematic review.

          This study presents findings from a systematic review of evaluations of family planning interventions published between 1995 and 2008. Studies that used an experimental or quasi-experimental design or used another approach to attribute program exposure to observed changes in fertility or family planning outcomes at the individual or population levels were included and ranked by strength of evidence. A total of 63 studies met the inclusion criteria. The findings from this review are summarized in tabular format by the type of intervention (classified as supply-side or demand-side). About two-thirds of the studies found were evaluations of programs focusing on demand generation. Findings from all programs revealed significant improvements in knowledge, attitudes, discussion, and intentions. Program impacts on use of contraceptives and use of family planning services were less consistently found, and fewer than half of the studies that measured fertility or pregnancy-related outcomes found an impact. Based on the review findings, we identify promising programmatic approaches and propose directions for future evaluation research of family planning interventions.
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            A 10-year systematic review of HIV/AIDS mass communication campaigns: Have we made progress?

            The purpose of the current study was to conduct a 10-year systematic review of HIV/AIDS mass communication campaigns focused on sexual behavior, HIV testing, or both (1998-2007) and to compare the results with the last comprehensive review of such campaigns, conducted by Myhre and Flora (2000). A comprehensive search strategy yielded 38 HIV/AIDS campaign evaluation articles published in peer-reviewed journals, representing 34 distinct campaign efforts conducted in 23 countries. The articles were coded on a variety of campaign design and evaluation dimensions by two independent coders. Results indicated that compared with the previous systematic review (1986-1998 period), campaigns increasingly have employed the following strategies: (1) targeted defined audiences developed through audience segmentation procedures; (2) designed campaign themes around behavior change (rather than knowledge change); (3) used behavioral theories; (4) achieved high message exposure; (5) used stronger research designs for outcome evaluation; and (6) included measures of behavior (or behavioral intentions) in outcome assessments. In addition, an examination of 10 campaign efforts that used more rigorous quasi-experimental designs revealed that the majority (8 of 10) demonstrated effects on behavior change or behavioral intentions. Despite these positive developments, most HIV/AIDS campaigns continue to use weak (i.e., preexperimental) outcome evaluation designs. Implications of these results for improved design, implementation, and evaluation of HIV/AIDS campaign efforts are discussed.
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              • Article: not found

              The diffusion of fertility control in Taiwan: evidence from pooled cross-section time-series models.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                25 September 2012
                : 7
                : 9
                : e46138
                Affiliations
                [1]Department of Global Health Systems and Development, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
                Tulane University School of Public Health and Tropical Medicine, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Analyzed the data: PH DM. Wrote the paper: PH DM.

                Article
                PONE-D-12-19551
                10.1371/journal.pone.0046138
                3458016
                23049961
                975859bf-a82f-472d-be36-979a5a04ff72
                Copyright @ 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 July 2012
                : 28 August 2012
                Page count
                Pages: 14
                Funding
                This study was funded through the United States Agency for International Development (USAID) through the Health Communication Partnership and under the terms of Cooperative Agreement No. GHP-A-00-2-00008-00. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine
                Global Health
                Non-Clinical Medicine
                Health Care Policy
                Health Education and Awareness
                Health Statistics
                Health Systems Strengthening
                Public Health
                Behavioral and Social Aspects of Health
                Women's Health
                Social and Behavioral Sciences
                Economics
                Operations Research
                Mathematical Optimization
                Health Economics
                Sociology
                Demography
                Birth Rate
                Fertility Rate

                Uncategorized
                Uncategorized

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