MOESM1 of Cost-effectiveness analysis of the diarrhea alleviation through zinc and oral rehydration therapy (DAZT) program in rural Gujarat India: an application of the net-benefit regression framework

Additional file 1: Table S1. DAZT intervention components according to activity in Gujarat

Additional file 2: Table S1. of Mobile Technology for Community Health in Ghana: what happens when technical functionality threatens the effectiveness of digital health programs?

Summary metrics for assessing program effectiveness including technological and behavioral components. (DOCX 31 kb

Additional file 4: Figure S3. of Mobile Technology for Community Health in Ghana: what happens when technical functionality threatens the effectiveness of digital health programs?

Proportion of messages sent out of those expected across the continuum of care by district. Trends in system generated data on message delivery. (DOCX 73 kb

Additional file 1: Figure S1. of Mobile Technology for Community Health in Ghana: what happens when technical functionality threatens the effectiveness of digital health programs?

Data flows through the MOTECH system reproduced with permission from [1]. (DOCX 150 kb

Additional file 1: of Program assessment of efforts to improve the quality of postpartum counselling in health centers in Morogoro region, Tanzania

Table S1. Reported supervision provided to RCH providers (n = 88) from July 2011 to June 2012. (DOCX 31 kb

Additional file 1: Figure S1. of Profile, knowledge, and work patterns of a cadre of maternal, newborn, and child health CHWs focusing on preventive and promotive services in Morogoro Region, Tanzania

Overview of Integrated Program MNCH CHW rollout per district. Figure S2. Mean composite scores for CHW knowledge and reported service provision on maternal and child health care across the continuum of care and for specific services. Figure S3. Observed use of job aids during pregnancy home visits (n = 37). Table S1. Ordered logistic regression models for composite scores for overall CHW knowledge and specific sub-domains of pregnancy, postpartum, newborn care, and child health controlling for gender, date of training, education, age, and assets. Table S2. Ordered logistic regression models for composite scores for family planning, infection/injury prevention, malaria, HIV transmission, and nutrition controlling for gender, date of training, education, age, and assets