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Mar 5, 2015

Health Workforce Productivity Analysis and Improvement Toolkit

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Global

CapacityPlus announces this toolkit, a process to measure the productivity of facility-based health workers, understand causes of productivity problems, and identify interventions to address them. Many countries are striving to meet the demand for family planning, end preventable child and maternal deaths, and achieve an AIDS-free generation.The health workforce is critical for ensuring access to high-quality services and improve health outcomes. While increasing the number of health workers where there are shortages is essential, it is equally important to improve the productivity of the existing workforce and make service delivery more efficient.

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Jan 28, 2015

Zambia Access, Bottlenecks, Costs, and Equity Project 2011-2012


Zambia

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Three datasets resulting from the ABCE project in Zambia are available for download: results of a nationally representative facility survey which gathered information on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations; data collected in patient exit interviews conducted after patients visited facilities in the ABCE sample; and information extracted from the charts of HIV-positive patients receiving antiretroviral therapy (ART). Clinical chart extraction data and patient exit interview data can be linked to facility-level information from the ABCE Facility Survey.

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Jan 28, 2015

Uganda Access, Bottlenecks, Costs, and Equity Project 2012


Uganda

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Three datasets resulting from the ABCE project in Uganda are available for download: results of a nationally representative facility survey which gathered information on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations; data collected in patient exit interviews conducted after patients visited facilities in the ABCE sample; and information extracted from the charts of HIV-positive patients receiving antiretroviral therapy (ART). Clinical chart extraction data and patient exit interview data can be linked to facility-level information from the ABCE Facility Survey.

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Jan 28, 2015

Kenya Access, Bottlenecks, Costs, and Equity Project 2012


The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Three datasets resulting from the ABCE project in Kenya are available for download: results of a nationally representative facility survey which gathered information on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations; data collected in patient exit interviews conducted after patients visited facilities in the ABCE sample; and information extracted from the charts of HIV-positive patients receiving antiretroviral therapy (ART). Clinical chart extraction data and patient exit interview data can be linked to facility-level information from the ABCE Facility Survey.

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Jan 28, 2015

Ghana Access, Bottlenecks, Costs, and Equity Project 2012


The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. The ABCE Facility Survey in Ghana collected data from a nationally representative sample of health facilities on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations. The dataset available for download provides information at the facility-year level.

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Nov 18, 2014

BLN Webinar: RED-QI (Reaching Every District incorporating Quality Improvement)

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Ethiopia, Uganda

The Better Immunization Data Learning Network (BLN) recently hosted a webinar which elaborated on RED-QI (Reaching Every District incorporating Quality Improvement approaches). The “RED-QI” approach is a process that supports addressing larger priority problems (e.g. persistently high drop-out rates) using small, rapid, doable changes that can be quickly tested and evaluated for adoption, adaption, or abandonment at the local level.

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Oct 1, 2012

Regular Review of Program & Health Worker Performance: Using Data to Make a Difference

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Global

Immunization is a program whose success or failure in achieving public health impact is often judged on the basis of data generated on a daily, weekly, or monthly basis by health workers in facilities ranging from remote health posts to regional hospitals. Because immunization is a service that can be scheduled (unlike, for example, treatment of ill children) its data can be used by health workers to answer such key management questions as: Are we reaching the people in each locale who need immunization? Are we making progress? Who are we not reaching? Are children starting the immunization schedule but then dropping out? How well do outreach services work? In principle but not always in practice, the answers to these questions can be found by health workers themselves with data that are readily available to them. The importance of data use is highlighted by the inclusion of facility-level microplanning as a core component of the WHO/UNICEF Reaching Every District strategy, used by most countries to strengthen routine immunization (RI).

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Apr 29, 2011

Strengthening an Organization’s Capacity to Demand and Use Data


Global

Significant human and financial resources have been invested worldwide in the collection of population, facility, and community-based data. However, this information is often not used by key stakeholders to effectively inform policy and programmatic decision making. As a result, many health programs fail to fully link evidence to decisions and suffer from a decreased ability to respond to priority needs of the populations they serve. There are many possible factors that undermine evidence-based decision making which relate to (1) how information flows to decision-makers and how they make their decisions, (2) the context in which information is collected and decisions are made, and (3) the organizational infrastructure and technical capacity of those that generate and use data.

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Dec 1, 2010

eHealth in Tanzania- National Strategic Plan

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Tanzania

This eHealth Strategy is intended to lay a solid foundation for making the best possible use of Information and Communications Technology (ICT) resources in Tanzania’s Health and Social Welfare sector. This Strategy will modernise and increase the whole sector’s performance. For example, the role of ICT in supporting distance-education, training (both pre-service and in-service) and research, offers tangible benefits given the remoteness of many parts of Tanzania where rural health service facilities are located. Further, eHealth will help trigger a wealth of new opportunities through sector-wide empowerment, collaboration, research and innovation.

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