Acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia: a retrospective cross-sectional observational study.

BACKGROUND: The electronic community health information system has been increasingly developed and deployed to quantify and support quality health service delivery by community health workers in Ethiopia. However, the success and failure of the electronic community health information system depend on the acceptability and use by its users. This study assessed the acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia. METHODS: A retrospective cross-sectional observational study was conducted among 587 randomly selected health extension workers from six regions of Ethiopia. The Revised Technology Acceptance Model was used as a theoretical framework for the study. Descriptive statistics, structural equation modeling, and principal component analysis techniques were used to analyze the data. For all significance tests, multiple comparison adjustments were made using the Bonferroni Correction Method. RESULTS: There was near universal acceptance of the electronic community health information system, ranging from 94.4 to 97.4% among health extension workers. However, actual use of the system was considerably lower, at 50%. Perceived usefulness of the electronic community health information system had a direct and positive effect on acceptability (ß3 = 0.415, p < 0.001). Perceived ease of use had both direct and indirect positive effects on electronic community health information system acceptability (ß2 = 0.340, p < 0.001 and ß1*ß3 = 0.289, p < 0.001, respectively), while acceptability had a direct and positive effect on the use of the electronic community health information system (ß3 = 0.297, p < 0.001). CONCLUSIONS: Despite the very high acceptability of the electronic community health information system among health extension workers, actual use of the system is considerably lower. Hence, an integrated and coordinated approach is required to close the acceptance-use gap.

Application of behavioral economics principles to reduce injectable contraceptive discontinuation in rural Ethiopia: A stratified-pair, cluster-randomized field trial.

Background: Contraceptive prevalence in Ethiopia jumped from 6% in 2000 to 36% in 2016, mainly due to increased injectable method use. However, discontinuation rates among injectable users were high (38%). Given that the public sector is the major source for injectable contraceptives, John Snow Inc. (JSI) in collaboration with ideas42 worked with Ethiopia's flagship Health Extension Program to apply behavioral design to mitigate discontinuation of injectable contraceptives. Methods: We applied behavioral economics insights to mitigate the discontinuation of injectable contraceptives. This process created an intervention package, consisting of a health worker planning calendar, a client counseling job aid, and client appointment cards. A stratified-pair cluster-randomized field trial tested the effectiveness of the intervention. The study area included two districts from the four regions where JSI was implementing a family planning program. One district from each region was randomly allocated to the intervention arm. Women visiting health posts to use injectable contraceptives were enrolled in the study. Regression methods, adjusted for study design, participants' backgrounds, and contextual factors, estimated the intervention's effect on discontinuation rates. Results: A behavioral design methodology was feasibly implemented in a rural, low-resource setting in Ethiopia. The resultant intervention package was successfully delivered in 19 satellite health posts in four districts. Intervention adherence was high for the appointment cards and counseling job aid, but not for the planning calendar. The injectable discontinuation rate was 10.8 % (95% confidence interval: 2.2, 19.3) points lower in the intervention area compared to the control area during the post-intervention follow-up survey. Conclusion: The use of two tools informed by behavioral economics -the appointment card and counseling job aid-effectively decreased injectable discontinuation even with the presence of other health system bottlenecks. Behavioral economics insights and the behavioral design methodology have the potential to enhance family planning programs in Ethiopia and elsewhere.