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 → 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.
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 → 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.
Authors: Myrna M Weissman; Sidney H Hankerson; Pamela Scorza; Mark Olfson; Helena Verdeli; Steven Shea; Rafael Lantigua; Milton Wainberg Journal: Am J Psychother Date: 2014
Authors: W A Tol; S M Murray; C Lund; P Bolton; L K Murray; T Davies; J Haushofer; K Orkin; M Witte; L Salama; V Patel; G Thornicroft; J K Bass Journal: BMC Womens Health Date: 2019-02-14 Impact factor: 2.809
Authors: Dirceu Mabunda; Déborah Oliveira; Mohsin Sidat; Maria Tavares Cavalcanti; Vasco Cumbe; Flávio Mandlate; Milton Wainberg; Francine Cournos; Jair de Jesus Mari Journal: Int J Ment Health Syst Date: 2022-02-15