Mobile technology and task shifting to improve access to alcohol treatment services in Mozambique.

INTRODUCTION: Unhealthy alcohol use (UAU) is a major public health challenge, particularly in low- and middle-income countries. Mozambique is the fourth poorest country in the world where half of the population lives below the poverty line. UAU is frequent among drinkers in Mozambique; however, resources and infrastructure to treat UAU are very limited. This paper examines how task-shifting and a provider-facing mobile health application are being used to improve access to care. In this paper, the feasibility, acceptability and appropriateness of a provider-facing mobile health application being used under a task-shifting model to identify UAU and provide a four-session brief motivational interviewing intervention are described. METHOD: The study used a sequential exploratory mixed-methods design with a QUAL â†’ quan structure. First, 15 psychiatric technicians and primary care providers in Mozambique's Nampula Province participated in semi-structured interviews. These interviews were recorded and transcribed. Then, 45 providers completed a 12-item quantitative survey on tablets. Quantitative analysis used descriptive statistic calculation and qualitative analysis used thematic analysis. RESULTS: Nonspecialized providers found the mobile health app to be acceptable, appropriate, and feasible when delivering a 4-session brief motivational intervention under a task-shifting model. Central benefits of the technology were enhanced standardization and efficiency of sessions as well as feelings of legitimacy when interacting with patients. Main concerns were feasibility of implementing the intervention due to time constraints of workload and internet connectivity issues. CONCLUSIONS: Provider-facing technology shows promise in supporting task-shifting models that can expand alcohol intervention services and increase access to care in low- and middle-income countries. Providers without specialized training in behavioral health interventions can provide critical services to patients with UAU and provider-facing mobile health applications may help bring such models to scale.

Scale-Up Study Protocol of the Implementation of a Mobile Health SBIRT Approach for Alcohol Use Reduction in Mozambique.

BACKGROUND: Hazardous drinking imposes a major public health burden worldwide, especially in low-income countries such as Mozambique. Implementation of the Screening, Brief Intervention, Referral to Treatment (SBIRT) approach to address problem drinking is recommended. However, evidence regarding the best strategies to implement SBIRT at scale is needed. METHODS: Guided by the Reach Effectiveness Adoption Implementation Maintenance model, the authors will conduct a 2-year, cluster-randomized, hybrid type-2 implementation-effectiveness trial in 12 districts in Mozambique evaluating implementation, clinical effectiveness, outcomes, and cost. Eight districts will be randomly assigned to a mobile application-based health SBIRT condition and four to SBIRT-Conventional Training and Supervision. Interventions will be delivered by clinic-based community health workers. The Consolidated Framework for Implementation Research will guide the authors' mixed-methods assessments throughout the study. RESULTS: The study arm showing better cost-effectiveness will be scaled up in the other arms' districts. During this 12-month scale-up phase, Ministry of Health personnel will be charged with providing training, clinical activities, and supervision in all 12 districts without research team support. The SBIRT scale-up phase is critical to identify facilitators and barriers for tracking internal and external factors in clinics that continue using the superior arm and those that switch to it. NEXT STEPS: In a multistep process with stakeholders from multiple sectors, outcomes and lessons learned from this study will inform the development of an implementation tool kit to guide SBIRT scale-up of community services addressing hazardous drinking in other low- and middle-income countries and low-resource settings in high-income countries.

Technology and implementation science to forge the future of evidence-based psychotherapies: the PRIDE scale-up study.

OBJECTIVE: To report the interim results from the training of providers inevidence-based psychotherapies (EBPs) and use of mobile applications. DESIGN AND SETTING: The Partnerships in Research to Implement and Disseminate Sustainable and Scalable Evidence (PRIDE) study is a cluster-randomised hybrid effectiveness-implementation trial comparing three delivery pathways for integrating comprehensive mental healthcare into primary care in Mozambique. Innovations include the use of EBPs and scaling-up of task-shifted mental health services using mobile applications. MAIN OUTCOME MEASURES: We examined EBP training attendance, certification, knowledge and intentions to deliver each component. We collected qualitative data through rapid ethnography and focus groups. We tracked the use of the mobile applications to investigate early reach of a valid screening tool (Electronic Mental Wellness Tool) and the roll out of the EBPs PARTICIPANTS: Psychiatric technicians and primary care providers trained in the EBPs. RESULTS: PRIDE has trained 110 EBP providers, supervisors and trainers and will train 279 community health workers in upcoming months. The trainings improved knowledge about the EBPs and trainees indicated strong intentions to deliver the EBP core components. Trained providers began using the mobile applications and appear to identify cases and provide appropriate treatment. CONCLUSIONS: The future of EBPs requires implementation within existing systems of care with fidelity to their core evidence-based components. To sustainably address the vast mental health treatment gap globally, EBP implementation demands: expanding the mental health workforce by training existing human resources; sequential use of EBPs to comprehensively treat mental disorders and their comorbid presentations and leveraging digital screening and treatment applications.