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2
In many low- and middle-income countries, there is a wide gap between evidencebased recommendations and current practice. Treatment of major CVD risk factors remains suboptimal, and only a minority of patients who are treated reach their target levels for
...
blood pressure, blood sugar and blood cholesterol.
In other areas, overtreatment can occur with the use of non-evidence-based
protocols. The aim of using standard treatment protocols is to improve the quality
of clinical care, reduce clinical variability and simplify the treatment options,
particularly in primary health care. Standard treatment protocols can be developed by preparing new national treatment guidelines or by adapting or adopting international guidelines.
The Evidence-based protocols module uses hypertension and diabetes screening
and treatment as an entry point to control cardiovascular risk factors, prevent target organ damage, and reduce premature morbidity and mortality. A comprehensive risk- based approach for integrated management of hypertension, diabetes, and high cholesterol is included in the Risk-based CVD management module.
This module includes clinical practice points and sample protocols for:
1. hypertension detection and treatment
2. type 2 diabetes detection and treatment
3. identifying basic emergencies – care and referral.
HEARTS emphasizes adaptation, dissemination, and use of a standardized set of
simple clinical-management protocols, which should be drug- and dose-specific,
and include a core set of medications. The simpler the protocols and management tools, the more likely they are to be used correctly, and the higher the likelihood that a programme will achieve its goals.
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The WHO Regional Office for Europe has established the Childhood Obesity Surveillance Initiative in more than half thecountries in the Region for routine monitoring of the policy response to the emerging obesity epidemic. The aim of the system is to measure trends in overweight and obesity in childr
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en aged 6.0–9.9 years for accurate understanding of the epidemic and to allow inter-country comparisons. This document outlines the data collection procedures agreed for use in the Initiative.
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Monitoring is a crucial element in any successful programme. It is important to
know if health care facilities – and ultimately countries – are meeting the agreed
goals and objectives for preventing and managing cardiovascular diseases (CVD).
Monitoring is the on-going
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collection, management and use of information to
assess whether an activity or programme is proceeding according to plan and/
or achieving defined targets. Not all outcomes of interest can be monitored. Clear
outcomes must be identified that relate to the most important changes expected to result from the project and to what is realistic and measurable within the timescale of the project. Once these outcomes have been articulated, indicators can be chosen that best measure whether the desired outcomes are being met.
To allow progress to be monitored, this module provides a set of indicators on
CVD management. Agreeing on a set of indicators allows countries to compare
progress in CVD management and treatment across different districts or
subnational jurisdictions, as well as at a facility level, identify where performance
can be improved, and track trends in implementation over time. Monitoring
these indicators also helps identify problems that may be encountered so that
implementation efforts can be redirected.
This module starts from the collection of data at facility level, which is then
“transferred up” the system: facility-level data are aggregated at subnational level
to produce reports that allow tracking of facility and subnational performance over time and allow for comparison among facilities. National-level data are obtained through population-based surveys.
Implementing a monitoring system requires action at many levels. At national and
subnational levels, staff can determine how best to integrate data elements into
existing data collection systems – such as the routine service-delivery data that are collected through facility-level Health Management Information Systems (HMIS).
In the facility setting, personnel must be aware of what data are needed. Sample
data-collection tools are included, recognizing that countries use different datamanagement systems for HMIS, so the CVD monitoring tools will be adapted to work with the HMIS system being used by the country, such that the indicators can be collected with minimal disruption/work to existing systems and tools
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The HHFA Comprehensive guide serves as the main reference document for planning and implementing a country HHFA. This guide will promote understanding of:
What the HHFA is and the information it can and cannot provide.
The HHFA modules, questionnaires and CSPro electronic data
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collection tool.
The HHFA indicators, indices and their organization within the HHFA indicator inventory platform.
The HHFA data analysis platform.
The HHFA sampling and data collection methodologies.
The detailed steps involved in planning and implementing an HHFA.
Key concepts in review, interpretation and communication of HHFA findings.
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This is the third guidance note in a four-part series of notes related to impact evaluation developed by InterAction with financial support from the Rockefeller Foundation.This third guidance note, Introduction to Mixed Methods in Impact Evaluation, starts by explaining what a mixed methods (MM) imp
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act evaluation design is and what distinguishes this approach from quantitative or qualitative impact evaluation designs. It notes that a mixed methods approach seeks to integrate social science disciplines with predominantly quantitative (QUANT) and predominantly qualitative (QUAL) approaches to theory, data collection, data analysis and interpretation. The guidance note is also available in French and Spanish on https://www.interaction.org/impact-evaluation-notes. ATTENTION: ANNEXES 1 TO 11 TO THIS DOCUMENT CAN BE FOUND IN ENGLISH VERSION ON: https://www.interaction.org/introduction-mixed-methods-impact-evaluation-annexes
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Access to health workers who are fit for purpose, motivated and protected is a fundamental force of health service delivery and the achievement of universal health coverage and the health and health-related Sustainable Development Goals. Data and knowledge of the distribution, skill mix and future d
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evelopment needs of the health workforce can mean the difference between enabling or impeding health systems performance, inclusive economic growth and global health security preparedness and response
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This job aid provides information for laboratorians about how to receive, process, and store dried blood spot specimens collected for early infant diagnosis, viral load, or drug resistance testing.
Anaemia is a serious global public health problem that particularly affects young children, menstruating adolescent girls and women, and pregnant and postpartum women. It is a condition in which the number of red blood cells or the haemoglobin conce
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ntration within them is lower than normal, affecting the blood’s ability to carry oxygen to the body’s tissues.
To reliably monitor the prevalence of anaemia at a population level, it is vital to measure the haemoglobin concentration in an accurate and precise way. In large-scale surveys, however, haemoglobin is most commonly measured using single-drop capillary blood specimens in point-of-care devices. Emerging evidence suggests that the use of single-drop capillary blood can introduce random and/or systematic errors, which may lead to inaccurate estimates, complicating effective anaemia programming.
This technical brief describes the current best practices for haemoglobin measurement, providing guidance to help plan or implement field surveys to assess anaemia at a population level. Continuing work to review emerging evidence is led by members of the WHO-UNICEF Technical Expert Advisory group on nutrition Monitoring (TEAM).
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In 2014, the Ministry of Health (MOH) in Malawi conducted a nationwide assessment of emergency obstetric and newborn care (EmONC) services. This cross-sectional facility-based survey used 10 data collection modules. Data
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collection began on 23rd September 2014 and concluded on 17th October 2014, in all 28 districts. Facilities in both the public and private sector (for-profit and not-for-profit) were included. Since the focus of the assessment was obstetric and newborn care, health facilities that did not offer maternal and newborn health (MNH) services were not selected. In all districts, a census of all hospitals and a 60 percent random sample of health centres that ought to have performed deliveries in the previous year yielded a total of 365 facilities: 87 hospitals and 278 health centres. All these facilities were visited during the assessment. During analysis, weighting procedures were applied to extrapolate results to the district and national level, representing all 87 hospitals and 464 health centres. Such weighting was necessary as a stratified random sample of health centres was taken and weighting applied to all indicators and presentations that have health facility as a unit of measurement. Case reviews and provider’s interviews, on the other hand, are not weighted as their sampling strategy is based on convenience.
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Specimen Collection, Packaging and Transport Guidelines for 2019 novel Coronavirus (2019-nCoV)
Dr. Y.K. Gurav; Dr. V. Potdar; Dr. P. Abraham
Ministry of Health & Family Welfare Government of India; National Institute of Virology (NIV); Indian Council of Medical Research (icmd)
(2020)
C2
SOP number: ICMR-NIV/2019-nCoV/Specimens_01
Prepared by: Dr. Y.K. Gurav Reviewed by: Dr. V. Potdar Approved by: Dr. P. Abraham
Date: 19/01/2020 Date: 20/01/2020 Date: 20/01/2020
Antimicrobial Resistance Surveillance and Research Network | This document contains detail procedures on sample collection, transport, isolation, identification of fungi for the diagnosis of invasive fungal infections and antifungal susceptibility t
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esting of yeast
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Noncommunicable diseases (NCDs) are responsible for 81% of all deaths in the region of the Americas, of which 34% befall prematurely in people between 30- 69 years old. The burden of theses diseases and their common risk factors jeopardize the health systems to provide adequate management, as well a
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s to implement customized policies and interventions. The PAHO/WHO STEPwise approach to NCD risk factor surveillance (STEPS) is a simple, sequential, standardized method for collecting, analyzing, and disseminating data on key NCD risk factors in countries in adults from 18 to 69 years old. This survey covers key modifiable risk factors: tobacco use, alcohol use, physical inactivity, and unhealthy diet, as well as key biological risk factors: overweight and obesity, raised blood pressure, raised blood glucose, and abnormal blood lipids. STEPS is a household survey that gathers information on the risk factors through a face-to-face interview (step 1), simple physical measurements (step 2), and collection of urine and blood samples for biochemical analysis (step 3). Every step has a core set of questions, measurements, and expanded sets depending on the countries' needs and interests. It also has optional modules. Implementing STEPS allows the comparability of data within and between countries due to its standardized data collection. It also helps health services plan public health priorities and monitors and evaluates population-wide interventions. It is designed to help countries build and strengthen their capacity to conduct surveillance. STEPS captures 11 of the 25 indicators outlined in the NCD Global Monitoring Framework relating to 7 of the nine global targets.
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In this document, recommendations are provided on designing and implementing
a cross-sectional serosurvey using school-based sampling to estimate age-specific
DENV seroprevalence to inform a country’s national dengue vaccination program.
The document includes recommendations for methods for
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planning and conducting
serosurveys, including survey design, specimen collection, laboratory testing, data
analysis, and the interpretation and reporting of results.
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Global cardiovascular disease (CVD) burden is high and rising, especially in low-income and middle-income countries (LMICs). Focussing on 45 LMICs, we aimed to determine (1) the adult population’s median 10-year predicted CVD risk, including its variation within countries by socio-demographic char
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acteristics, and (2) the prevalence of self-reported blood pressure (BP) medication use among those with and without an indication for such medication as per World Health Organization (WHO) guidelines.
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