Gaps, priorities and challengesGaps, priorities and ... · Gaps, priorities and challengesGaps,...
Transcript of Gaps, priorities and challengesGaps, priorities and ... · Gaps, priorities and challengesGaps,...
Gaps, priorities and challengesGaps, priorities and challenges in health information systems research
Carla AbouZahrCoordinator Statistics Monitoring and Anal sisCoordinator, Statistics, Monitoring and AnalysisDepartment of Health Statistics and Informatics
26 May 2008
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Health information systems
• Key component of health systems, one of the building blocks
• Also a cross cutting component eachAlso a cross cutting component, each building block requires sound informationinformation
• Dual role, multiple responsibilities on health information systems
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Health system responsiveness, fairness
What data should the health information system
MortalityMorbidity,
fairness health information system generate?
Use of services
Wellbeing
Health system outputs & service availability
Service accessibility, safety, quality, efficiency
Health system inputs &
availability
Governance, human resources, medical products, information
q y, y
Determinants of ill health
processes
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ill-health
Which data
Health research
sources are used?
Resource, admin records
Service recordsFacility surveys ServiceService--basedbased
Individual records
Household surveys:
PopulationPopulation--basedbased
Censuses
Civil or sample registration, DSS
PopulationPopulation basedbased
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Censuses
Global monitoring
Research
Global monitoring and reporting
What are Analysis of health situation and
d
ResearchWhat are the data needed for? trends
Programme planning
needed for?
planning, management & evaluation
Patient
Facility management
Support health d k
Patient management
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decision-making
l b l
From data production ………………………..to data useFrom data production ………………………..to data use
Health research Research
Global monitoring and reportingHealth system
responsiveness, fairness
Resource, admin records
Analysis of health situation and
d
Research
Use of servicesMortalityMorbidity,
fairness
Service records Facility surveys
trends
Programme planning Use of services
Use of servicesy,Wellbeing
Individual records
planning, management & evaluationHealth system
outputs & service availability
Household surveys:
Patient
Facility managementHealth system
inputs &
availability
Censuses
Civil or sample registration, DSS
Support health d k
Patient management
Determinants of ill health
processes
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Censuses decision-makingill-health
R h d h lth i f tiResearch and health information systems: a multifaceted relationship
• Research is one of the sources of data the health information uses
• Contributing to research is one of theContributing to research is one of the functions of the health information systemsystem
• The health information itself deserves to be an object of research
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Health information systems today:
Never mind the quality, feel the width
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Demand-supply imbalancesDemand-supply imbalances
D d f h lth t ti ti i• Demand for health statistics growing • Supply fragmented by disease-specific data
collectioncollection • Health workers overburdened by reporting
requirementsrequirements • Data collected but not analysed and used • Disease-specific data collection poorly integratedDisease specific data collection poorly integrated
into national health information systems • Coordination difficult; financial, administrative ; ,
constraints. • Need R&D on new tools and methods
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Why the neglect?Why the neglect?
• Underinvestment in health information systems. • Systematic data collection recent phenomenon
i d l d t ieven in developed countries. • Lack of standardization in terminology,
methodologies presentationmethodologies, presentation.• Need for human and financial resources,
organizational, analytical and statistical skillsorganizational, analytical and statistical skills• Information not seen as outcome but as by-product
of activities to improve health. p• Few incentives to focus on underlying statistics:
instrumental to M&E; demonstrating impact
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Range of research needs
Type of research neededConceptual Methodological Field work;Conceptual
developmentMethodological
tools development and
testing
Field work; implementation
researchtesting
Systems building for health
Some work required
Some work required
Major efforts neededo ea t
informationq q
Enhancing demand for data
Some work required
Some work required
Moderate effort required
St th i S k M j ff t M j ff tStrengthening specific data sources
Some work required
Major effort needed
Major efforts needed
Strengthening data analysis, and use
Some work required
Moderate effort needed
Major efforts needed
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use
Health information systemsHealth information systems
• Assessing cost and economic value of better health statistics E i ith l i t ti b t• Experiences with closer integration between ministries of health and national statistics officesoffices
• Documentation of policy, legislative and regulatory strategies need to overcome g y gfragmentation
• Documentation of costs, benefits and risks of i t d i ICTintroducing ICT
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Specific data sources:Specific data sources:tools and methods
• Statistical techniques for adjusting incomplete and biased data such as hospital records, incomplete civil registration records, etc.
• Innovative approaches to estimate numbers, age-distribution and causes of deaths in settingsdistribution and causes of deaths in settings without death registration and medical certification
• Validating sentinel methods of vital-events• Validating sentinel methods of vital-events monitoring and cause-of-death attribution.
• Validating verbal-autopsy tools g p y• Sampling techniques to permit generation of
population-based data at district level.
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Specific data sources:Specific data sources:Implementation researchp
• Cost-effective ways of enhancing monitoring of vital events including training inof vital events, including training in certification and coding causes of death.
• Best practices in ensuring the integration of• Best practices in ensuring the integration of data from the private health care sector into the health information systemthe health information system.
• Documentation of experiences in the use of field-appropriate and cost-effective diagnosticfield appropriate and cost effective diagnostic technologies to obtain biomarkers in household surveys.
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y
Data analysis and useData analysis and use
I i d t lit b h i h lth• Improving data quality by enhancing health personnel skills to generate, interpret, disseminate, use and value health informationuse and value health information.
• Effectiveness of interventions (training, supervision, feedback and incentives) for improving data quality.) p g q y
• Effectiveness of dissemination methods for different audiences (health managers, policy
k it )makers, community groups) • Sociocultural factors and constraints affecting
information useinformation use• Measuring the health impact of sharing information
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with citizens
Redressing the neglect
• Increase funding Sti l t th i t t f h• Stimulate the interest of researchers
• Increase demand for evidence-based h t h lth i f ti tapproaches to health information system
strengthening by policy-makers, development agencies and donorsagencies and donors
• Embed research as integral part of health systems research not assumed to be confinedsystems research, not assumed to be confined to the monitoring and evaluation component.
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