Impact of health education intervention on demand of women for cervical cancer screening: a cluster-randomized controlled trial

Background Cervical cancer is considered preventable disease, though it is the second largest killer of women's cancer in low and middle-income countries. Despite the government's attempts to broaden screening facilities, the screening service utilization was poor. Our study evaluated the impact of health education intervention on women's demand for cervical cancer screening. Methods Community-based cluster-randomized controlled trial was conducted in thirty district towns as clusters in Tigray region, Ethiopia. A total of 700 women aged 20 to 60 years were recruited for both groups using simple random sampling from April to July, 2018. After baseline data collection, health education intervention was given to the intervention group by trained health professionals using power point presentation and peer group discussion at the nearest health institution. The health education was given for three days followed by subsequent consultations for 6 months. The outcome variable was demand of women for cervical cancer screening. The intent-to-treat and per-protocol analysis were considered to evaluate the inflation of the loss to follow-up on effect size. Chi-square test was used to assess the difference of variables between control and intervention groups at baseline data. Finally, difference in difference analysis was used to see the true effect of the intervention on outcome variable. Results A total of 674 participants (340 in intervention and 334 in control groups) were able to complete the follow-up, making a response rate of 96.3%. At baseline, the differences in proportion of all outcome variables in control and intervention groups were not statistically significant. After follow-up, a statistically significant difference between control and intervention groups was observed in the proportion of willingness to screen (p value = 0.000), having plan to screen (p value = 0.000), ever screened (p value = 0.000), and the overall demand for cervical cancer screening (p value = 0.000). Finally, the impact of intervention was explained by the difference in differences in the proportion of willingness to screen (36.6%) (p value < 0.000), having plan to screen (14.6%) (p value < 0.000), ever screened (16.9%) (p value < 0.000), and overall demand for cervical cancer screening (36.9%) (p value < 0.000). Conclusion This study revealed that health education intervention could increase in overall demand of women for cervical cancer screening. Thus, it would be helpful to consider health education in health planning and service provision.