Leveraging PEPFAR-Supported Health Information Systems for COVID-19 Pandemic Response.

Since 2003, the US President's Emergency Plan for AIDS Relief (PEPFAR) has supported implementation and maintenance of health information systems for HIV/AIDS and related diseases, such as tuberculosis, in numerous countries. As the COVID-19 pandemic emerged, several countries conducted rapid assessments and enhanced existing PEPFAR-funded HIV and national health information systems to support COVID-19 surveillance data collection, analysis, visualization, and reporting needs. We describe efforts at the US Centers for Disease Control and Prevention (CDC) headquarters in Atlanta, Georgia, USA, and CDC country offices that enhanced existing health information systems in support COVID-19 pandemic response. We describe CDC activities in Haiti as an illustration of efforts in PEPFAR countries. We also describe how investments used to establish and maintain standards-based health information systems in resource-constrained settings can have positive effects on health systems beyond their original scope.

The Social Bridging Project: Intergenerational Phone-Based Connections With Older Adults During the COVID-19 Pandemic.

Millions of Americans aged 65+ are socially isolated and millions more report feeling lonely. Social isolation and loneliness in older adults were compounded by stay-at-home orders and other COVID-19 prevention measures. Although many Americans experienced no difficulties transitioning to the use of electronic devices as their primary means of communication and connection, some older adults were not similarly able to espouse this shift. Our aim was to reduce the impact of social isolation on older adults, increase their comfort in expressing feelings of loneliness, and assist them in acquiring technology skills and accessing telehealth and community supports. Participants received wellness calls for conversation, resource access and technology-based support. Most participants reported decreased loneliness and increased connectedness after the calls; half reported increased ease in expressing their feelings. Programs that provide phone-based support for older adults may reduce loneliness and increase social connectedness.

Research gaps in transforming tuberculosis data to action for better health outcomes: A systematic literature review.

BACKGROUND: In their work to end the tuberculosis (TB) epidemic in lower- and middle-income countries, national TB programs need a tool to measure, monitor, and strengthen relevant capabilities to create a continuous transformation of data into action (D2A) to improve TB program results. However, there is a lack of scientific evidence to determine specific measurement dimensions of a D2A continuum that enables TB programs to identify the barriers and enablers of D2A and to guide the selection of interventions appropriate for the context and decision-making capabilities of various TB program actors. METHODS: A systematic review of peer-reviewed and grey literature was conducted per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 48 peer-reviewed publications were selected for data extraction and analysis. RESULTS: The findings show that selected publications discussed the health system level, stakeholders involved in decision making, decision type, data system, data sources, data use enablers and barriers, decision-making framework and steps, decision outcome/impact, and how that outcome was measured. The findings highlight barriers and enablers to data use and explain the relationship among data sources, decision type, and stakeholders. Seventeen D2A measurement dimensions were identified. CONCLUSIONS: Transforming data to action is a continuous process that recognizes that data use indicators vary by type of decisions, decision makers, and the health system level at which decisions are made. As a logical next step, the project team plans to develop and validate a D2A continuum toolkit that will include a measurement scale, implementation guide, and data collection and analysis Microsoft Excel workbook.