Table 2

Intervention effects for dichotomous outcomes—complete-case analysis

MythControl (n=211)Intervention (n=206)Contact (n=207)
*Baseline*EndlineDiff.*Baseline*EndlineDiff.*Baseline*EndlineDiff.
Population based analysis
 Hormonal contraceptives are fattening139 (65.9%)117 (55.5%)−10.4%144 (69.9%)135 (65.5%)−4.4%142 (68.6%)127 (61.4%)−7.2%
 Contraceptives can harm a woman’s womb135 (64%)114 (54%)−10%125 (60.7%)106 (51.5%)−9.2%144 (69.6%)112 (54.1%)−15.5%
 People who use contraceptives end up with health problems133 (63%)103 (48.8%)−14.2%120 (58.3%)105 (51%)−7.3%135 (65.2%)100 (48.3%)−16.9%
 Contraceptives can cause cancer117 (55.5%)88 (41.7%)−13.8%112 (54.4%)90 (43.7%)−10.7%123 (59.4%)86 (41.6%)−17.8%
 Use of a contraceptive injection can make a woman permanently infertile108 (51.2%)82 (38.9%)−12.3%102 (49.5%)73 (35.4%)−14.1%123 (59.4%)77 (37.2%)−22.2%
 Contraceptives reduce women’s sexual urges101 (47.9%)65 (30.8%)−17.1%83 (40.3%)57 (27.7%)−12.6%107 (51.7%)76 (36.7%)−15%
 Contraceptives can give you deformed babies98 (46.5%)69 (32.7%)−13.8%92 (44.7%)53 (25.7%)−19%106 (51.2%)71 (34.3%)−16.9%
 After a woman uses contraceptive methods, it is difficult to get pregnant92 (43.6%)81 (38.4%)−5.2%101 (49%)69 (33.5%)−15.5%102 (49.3%)80 (38.7%)−10.6%
 Birth control should be a female concern59 (28%)41 (19.4%)−8.6%46 (22.3%)32 (15.5%)−6.8%59 (28.5%)35 (16.9%)−11.6%
 Women who use family planning/birth-spacing may become promiscuous109 (51.7%)92 (43.6%)−8.1%108 (52.4%)84 (40.8%)−11.6%111 (53.6%)89 (43%)−10.6%
Subject specific analysis
 Average # myths believed, per participant (SE)5.174.045.013.905.574.12
 Average absolute change in myths believed1.131.111.44
 CI of the diff.(−1.59 to –0.67)(−1.54 to –0.68)(−1.91 to –0.98)
 Percentage absolute change in myths believed21.922.225.9
 Test of diff. in the mean of the absolute change in myths believedControl (n=211)Intervention (n=206)Contact (n=207)
 ANOVA test F statistics0.66
 P value0.5181
  • n*—Those who believed the myth (had wrong answer).

  • Numbers in bold are for variables analysed under subject specific analysis

  • ANOVA, analysis of variance.