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Decision Support Tools for Malaria Prevention and Treatment

Decision Support Tools for Malaria Prevention and TreatmentMalaria-endemic countries have experienced a significant decline in malaria burden in recent years, and they are relying on strong health management information systems to provide good-quality data to track progress and measure program achievements. The DHIS 2 software platform has been rolled out in several countries to collect, validate, report, analyze, and present aggregated statistical data using a dashboard for the health system’s operations. However, DHIS 2 falls short in providing guidance to program managers on high-priority actions and the potential impact of those actions. MEASURE Evaluation conducted a literature review to identify decision support tools, synthesize their strengths and weaknesses, and assess gaps.

The research team searched databases of peer-reviewed and gray literature for decision support tools for malaria control. The reference databases and digital libraries included MEDLINE (via PubMed), Google Scholar, and SCOPUS. In addition, the team performed online searches of websites and online publications to identify decision support tools developed by specific organizations.

The research team found 11 decision support tools related to malaria prevention and treatment. Each of these tools focuses on different interventions and outcomes, with some tools focusing on multiple interventions and others focusing on a single intervention. This review covers the 11 tools for malaria prevention and provides recommendations for developing a new tool to address operational and implementation challenges facing subnational decision makers.

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Measurements to Capture the Quality of HIV Services for Men Who Have Sex with Men and for Transgender People

Measurements to Capture the Quality of HIV Services for Men Who Have Sex with Men and for Transgender PeopleThe goal of achieving quality in service provision is common in HIV programming, but progress in the field has stalled, because of a lack of clarity about how to operationalize quality and measure end roads to success. A previous report used findings from a systematic literature review to develop a definition of quality and an analytical framework for the quality of HIV services geared to men who have sex with men (MSM) and for transgender people.

This new report presents existing measures of quality proposed in our previous framework, highlights the current gaps, and suggests future directions. Produced by MEASURE Evaluation, a project funded by the United States Agency for International Development (USAID) and the United States President’s Emergency Plan for AIDS Relief (PEPFAR)—the report is directed to policymakers, program managers, and researchers who collect and use data about quality to design, implement, and evaluate programs along the HIV care continuum for MSM and transgender people.

Map of Data Flow in Health Information Systems (A series of four)

Map of Data Flow in Health Information Systems (A series of four)This set of illustrations poses four basic questions about health system performance and illustrates how the data generated by functioning health information systems (HIS) contribute to that performance. The questions move from policy to use of resources and health outcomes:

  • What are our population health priorities?
  • What resources do we have to address our priorities?
  • Are we using our resources efficiently?
  • Are we making progress on our priorities?

The graphics also outline the data sources that generate the information to answer those questions. Data sources considered are government health entities from districts or national levels; medical stores; laboratories; community organizations; health facilities, both public and private; and household data from population surveys. The four flow charts illustrate which entities generate data that are contributing to the overall picture of health trends, disease prevalence, available medical commodities, and population trends. The understanding of these aspects of health are an aid to decision makers who must make judgments about how to allocate resources, where more staff are needed, what programs are working, and what health policies might need to change.

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Prevention Needs and Priorities among Vulnerable Female Populations Living with HIV

Prevention Needs and Priorities among Vulnerable Female Populations Living with HIVHistorically, HIV prevention efforts have focused on reducing risk among those who have tested negative for the virus and those with unknown serostatus. However, these efforts overlook the specific role that people living with HIV can play in prevention. These HIV-positive populations should be engaged in prevention efforts to help them live healthy lives and to minimize the risk of spreading HIV to others. This study’s purpose was to establish the prevention needs and priorities for vulnerable female populations living with HIV: pregnant women, adolescent girls, female sex workers, and female elders.

The study employed a mixed-methods approach relying on survey data collected from 246 females living with HIV who were attending four care and treatment centers across Temeke municipality, in the Dar es Salaam region. Focus group discussions were conducted with 50 selected respondents and eight policy-related questionnaires were completed by program administrators.

This report outlines background and methods, reports results, and provides recommendations to address the unmet prevention needs in Temeke Municipality, Tanzania.

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Strengthening Health Information Systems

Strengthening Health Information Systems in BangladeshFour new additions to a series of fact sheets describe and show how MEASURE Evaluation works to help strengthen health information systems in Bangladesh, Burundi, Botswana, and Guinea.

Access additional fact sheets for more countries.

Standard Operating Procedure for Integrating Gender in Monitoring, Evaluation, and Research

Standard Operating Procedure for Integrating Gender in Monitoring, Evaluation, and ResearchGender-related issues permeate culture and its institutions, often leading to health inequities for everyone. Gender inequalities affect health outcomes and program implementation, and ultimately the success of programs. Public health information systems must identify sex-specific trends and provide information needed to eliminate inequities, but gender integration in monitoring, evaluation, and research goes beyond just sex-disaggregated data. The purpose of this standard operating procedure (SOP) is to clearly identify ways to account for gender equality as part of monitoring, evaluation and research activities from planning and budgeting to implementation and dissemination.

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Integrating Family Planning Data in Uganda’s Health Management Information System

Integrating Family Planning Data in Uganda's Health Management Information SystemUganda’s health management information system (HMIS) was established in 1985 to collect and analyze national data on morbidity from communicable and noncommunicable diseases, reproductive health, family planning (FP), and immunization. The routine health data reporting system has evolved to the current platform, DHIS 2, use of which began in 2011 in a few districts and was rolled out to all districts in Uganda in 2012.

Few studies have explored the mechanisms for integrating FP data from the public and private health sectors in Uganda’s national HMIS. This study aimed to investigate the barriers, facilitators, and best practices of integrating these FP data in the district and national HMIS in Uganda.

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