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The Democratic Republic of Timor-Leste has the highest TB incidence rate in the South East Asian Region - 498 per 100,000, which is the seventh highest in the world. In Timor-Leste TB is the eighth most common cause of death.
The salient observations are as follows:
In 2018, 487 (12.5%) of the
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3906 notified TB patients were tested for RR-TB and only 12 lab confirmed RR-TB patients were initiated on standard MDR-TB treatment of 20-months duration, (a 3-fold increase in RR-TB detection compared with 2017). This amounts to treatment coverage of only 17% of 72 estimated MDR/RR-TB among notified TB patients (3906) and 5% of 240 estimated incident MDR-TB patients as compared to 62% treatment coverage of 6300 incident drug sensitive TB patients estimated in TLS. The treatment success in the 2016 annual cohort of 6 MDR-TB patients has been reported at 83%. 80% of TB patients know their HIV Status with around 1% TB-HIV co-infection, 37/ 77 (48%) TB-HIV Co-infection Detected. Of the 387 PLHIV currently alive on ART, exact status on TB screening and testing is unknown. % of PLHIV newly enrolled in HIV care who received IPT is not known.
In 2018, the mortality rate for TB was 94 deaths per 100,000 people (1200 per annum) in TL with an increasing mortality trend (Figure 1), despite TB services being available for nearly two decades.
A survey of catastrophic costs due to TB (2016) highlights that 83% of TB patients are reported to be facing catastrophic costs due to the disease. This is the highest rate in the world.
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This ToR outlines the background, purpose,
audience, and use of the evaluation, objective and key evaluation questions,
methodological considerations, timeline and deliverables, and the technical
requirements the prospective evaluation team should meet
14 January 2021
This practical guide can be used to help countries monitor and analyse the impact of COVID-19 on essential health services to inform planning and decision-making. It provides practical recommendations on how to use key performance indicators to analyse changes in access to and deliv
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ery of essential health services within the context of the COVID-19 pandemic; how to visualize and interpret these data; and how to use the findings to guide modifications for safe delivery of services and transitioning towards restoration and recovery. The guide focuses on existing indicators and data that are captured in routine reporting systems and how they can be used by national and subnational authorities to understand specific contexts, challenges and bottlenecks. This guide supports Maintaining essential health services: operational guidance for the COVID-19 context, which provides an integrated framework to guide countries in their efforts to reorganize, adapt and maintain safe delivery of high-priority essential health services within the context of the pandemic.
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Essential health care service disruption due to COVID-19: lessons for sustainability in Nigeria
AHOP National Centre based in Nigeria
World Health Organization WHO, Regional Office Africa
(2022)
C_WHO
The brief concludes that sustaining the continuity of EHS requires policies that ensure a whole-society and systems strengthening approach. This involves increased health care investment, community engagement, disease control regulations, and multisector approaches to improve resilience, EHS quality
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, and equity.
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National HIV Strategic Plan 2016-2021
Towards the Peoples Health Assembly Book -2
DIAGNOSIS, MANAGEMENT OF UNCOMPLICATED AND SEVERE MALARIA
The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction Strategy (EDPRS), the Millennium Development Goals
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(MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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