Re-envisioning Addiction Treatment: A Six-Point Plan

This article is focused on improving the quality of addiction treatment. Based on observations that patients are leaving treatment too early and/or are continuing to use substances during their care, the authors propose six actions that could help reorient and revitalize this kind of clinical work: (1) conceptualize and treat addictive disorders within a psychiatric/mental health framework; (2) make the creation of a strong therapeutic alliance a core part of the healing process; (3) understand patients’ addictions and other problems using models based on multiple internal parts, voices, or modes; (4) make contingency management and the use of positive reinforcement systems a standard and central practice in all treatment settings; (5) envision long-term change and healing through the lens of identity theory; and (6) integrate the growing developments in recovery culture with formal treatment

Human movement data for malaria control and elimination strategic planning

ABSTRACT: Recent increases in funding for malaria control have led to the reduction in transmission in many malaria endemic countries, prompting the national control programmes of 36 malaria endemic countries to set elimination targets. Accounting for human population movement (HPM) in planning for control, elimination and post-elimination surveillance is important, as evidenced by previous elimination attempts that were undermined by the reintroduction of malaria through HPM. Strategic control and elimination planning, therefore, requires quantitative information on HPM patterns and the translation of these into parasite dispersion. HPM patterns and the risk of malaria vary substantially across spatial and temporal scales, demographic and socioeconomic sub-groups, and motivation for travel, so multiple data sets are likely required for quantification of movement. While existing studies based on mobile phone call record data combined with malaria transmission maps have begun to address within-country HPM patterns, other aspects remain poorly quantified despite their importance in accurately gauging malaria movement patterns and building control and detection strategies, such as cross-border HPM, demographic and socioeconomic stratification of HPM patterns, forms of transport, personal malaria protection and other factors that modify malaria risk. A wealth of data exist to aid filling these gaps, which, when combined with spatial data on transport infrastructure, traffic and malaria transmission, can answer relevant questions to guide strategic planning. This review aims to (i) discuss relevant types of HPM across spatial and temporal scales, (ii) document where datasets exist to quantify HPM, (iii) highlight where data gaps remain and (iv) briefly put forward methods for integrating these datasets in a Geographic Information System (GIS) framework for analysing and modelling human population and Plasmodium falciparum malaria infection movements