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UNIQUE IDENTIFIERS
AND DATA COLLECTION
TECHNIQUES
Information Communication Technology for
Development
Unique Identifiers
 Unique identifiers (UI) refers to techniques for
confirming/establishing identities of beneficiaries
 UI’s are useful in the case of;
 Decentralized service delivery
 Especially when there are multiple partners
 Targeted programs
 Benefits accrue to select beneficiaries
 Contexts with high levels of corruption or
mismanagement
Advantages of UI’s
 Streamlining service
delivery and
implementation
 Effective data management
and analysis
 Facilitating Monitoring and
evaluation of programmes
 Reducing inclusion and
exclusion errors
 Ensuring transparency
Applications of UIs
 Case study 1: USAID-funded Drug Demand Reduction Program (DDRP), Central
Asia
 UI Type: Individual code
 First two letters of mother’s first name
 First two letters of father’s first name
 Gender (single letter M/F or number 1/2)
 Year of birth (last two digits)
 Advantages
 Low probability of duplication of id's
 Low start up costs
 Limitations
 Not very robust in the context of polygamous marriages- In cultures using patronymic naming
systems and/or polygamous marriages, the likelihood of duplicates arose.
 Application: Tracking of individuals
 BRAC programmes: MNCH or BEP
Applications of UIs (cont.)
 Case study 2: Maternal Heath care, India
 UI type: Smart cards and Photo id-Beneficiaries
(Expecting mothers) receive a photo ID and
smart card.
 Cards are scanned to record services received with
acknowledgement from the beneficiaries and to
report any customer feedback.
 Advantages
 This new system determines effectiveness -more
emphasis on ensuring that feedback is coming directly
from beneficiaries.
 Determine gaps in the service delivery process
 Limitations
 High start up and maintenance costs
 Application: Centralized Service Delivery Centre’s
 BRAC programmes:: BRAC health facilities (Shasthya
Kendros)
Applications of UIs (cont.)
 Case study 3: Flood Emergency Cash Transfer Project (FECT) Project,
Pakistan
 UI type: Biometric UI cards
 The beneficiaries were enrolled in the program through biometric verification with
a national ID database and cash grants were disbursed through debit cards by
engaging the private banking sector.
 Advantages
 Avoiding inclusion and exclusion errors
 Limitations
 Tedious and time consuming process of verification and
 High costs
 Application: Identity of beneficiaries is important especially in cases of targeted
programmes
 BRAC programmes: Microfinance programmes
Frontline Data Collection
 Frontline data collection technologies improve data
management and effectiveness
 Reduce time spent between data collection and data entry, i.e.
automate data aggregation
 Reduce errors in data entry
 Types of Frontline data collection strategies
 PDA- Personal Data Assistant (laptops or tablets)- electronic forms
 Mobile phone technology
 Eelectronic forms: containing numeric fields and multiple-choice
menus,
 SMS: where users enter delimited text messages according to printed
cue cards,
 Voice: where users call an operator and dictate the data in real-time.
 Optical mark recognition- automatically extracting expected data
from noticeable fields, Such as checkboxes and fill-in fields, on
printed forms.
Applications of Frontline Data
Collection techniques
 Case study 1: Child malnutrition Programme, India
 Type of Technology: CommCare, a low-cost mobile phone data collection
solution (electronic form)
 Advantages:
 Improved data management and effectiveness in comparison to paper based
system
 User motivation high- overcoming literacy limitations
 Adaptable to complex infrastructure challenges- phone can be charged in 1.5
hours, internet connectivity not required
 Limitation
 Unsupervised use of phones
 Network connectivity required
 Application: complex infrastructure challenges and large scale interventions
 BRAC programmes: Health, Microfinance and Education
Applications of Frontline Data
Collection techniques (cont.)
 Case Study 2: Mifapro CCT programme,
Guatemala
 Type of technology: Episurveyor a Java-based
application (electronic forms)
 Advantages
 Cost saving-“freemium” model, offering a free
basic version
 Access to real time data- cloud-computing
application
 User friendly
 Real-time visualization of the survey responses
 Limitations
 Some resistance by interviewees not familiar
with mobile phone technology
 Applications: Real time data is of import
 BRAC programmes:
Applications of Frontline Data
Collection techniques (cont.)
 Case Study 3: Community Health Programme, India
 Type of Technology: Voice interface with Mobile technology
 Advantages:
 Lower error rate as compared to electronic and SMS based applications
 Lower literacy requirements
 Flexibility in data gathering
 Decreased training time
 Limitations
 Cost considerations:
 Cost of live operator- however in labour surplus contexts the increased cost of a human
operator can be compensated by the decreased costs in other overheads
 Voice call costs often higher than the cost of SMS
 Application: Literacy of data collector is low and cost is a key concern
 BRAC programmes: Health programmes such as MNCH
Other technologies for Frontline Data Collection
Technology Programme Country
Digital camera- An image of the completed survey will be
captured by a digital camera and securely and privately stored
onto a memory card. A software program will interpret the
image capture and report the brightness values of to a .csv
table, to then be imported into an excel database where it is
managed and sorted
Midwifery training programme Haiti
PDA- Palm Pilot m500 series; Palm Inc., Santa Clara, CA)
programmed using Pendragon Forms software version 3.1
Clinical surveillance activity Gabon
PDA- Psion Organiser II XP hand-held computer, Malaria morbidity survey Gambia
Mobile technology-Open data kit currently provides four
tools to this end: Collect, Aggregate, Voice, and Build. Collect
is a mobile platform that renders application logic and
supports the manipulation of data.
Treatment protocols for treatable
diseases
Tanzania
Mobile technology EpiHandy tool, a mobile health data
collection and record access program enabled by PDAs,
medical records Uganda
Mobile technology-iFormBuilder An iOS mobile data
collection platform that features an application that requires
no paper or connection and is available worldwide.
Agriculture-Distribution of seed
vouchers to beneficiaries
Central African
republic

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Ict4 d unique identifier and frontline data collection detailed version

  • 1. UNIQUE IDENTIFIERS AND DATA COLLECTION TECHNIQUES Information Communication Technology for Development
  • 2. Unique Identifiers  Unique identifiers (UI) refers to techniques for confirming/establishing identities of beneficiaries  UI’s are useful in the case of;  Decentralized service delivery  Especially when there are multiple partners  Targeted programs  Benefits accrue to select beneficiaries  Contexts with high levels of corruption or mismanagement
  • 3. Advantages of UI’s  Streamlining service delivery and implementation  Effective data management and analysis  Facilitating Monitoring and evaluation of programmes  Reducing inclusion and exclusion errors  Ensuring transparency
  • 4. Applications of UIs  Case study 1: USAID-funded Drug Demand Reduction Program (DDRP), Central Asia  UI Type: Individual code  First two letters of mother’s first name  First two letters of father’s first name  Gender (single letter M/F or number 1/2)  Year of birth (last two digits)  Advantages  Low probability of duplication of id's  Low start up costs  Limitations  Not very robust in the context of polygamous marriages- In cultures using patronymic naming systems and/or polygamous marriages, the likelihood of duplicates arose.  Application: Tracking of individuals  BRAC programmes: MNCH or BEP
  • 5. Applications of UIs (cont.)  Case study 2: Maternal Heath care, India  UI type: Smart cards and Photo id-Beneficiaries (Expecting mothers) receive a photo ID and smart card.  Cards are scanned to record services received with acknowledgement from the beneficiaries and to report any customer feedback.  Advantages  This new system determines effectiveness -more emphasis on ensuring that feedback is coming directly from beneficiaries.  Determine gaps in the service delivery process  Limitations  High start up and maintenance costs  Application: Centralized Service Delivery Centre’s  BRAC programmes:: BRAC health facilities (Shasthya Kendros)
  • 6. Applications of UIs (cont.)  Case study 3: Flood Emergency Cash Transfer Project (FECT) Project, Pakistan  UI type: Biometric UI cards  The beneficiaries were enrolled in the program through biometric verification with a national ID database and cash grants were disbursed through debit cards by engaging the private banking sector.  Advantages  Avoiding inclusion and exclusion errors  Limitations  Tedious and time consuming process of verification and  High costs  Application: Identity of beneficiaries is important especially in cases of targeted programmes  BRAC programmes: Microfinance programmes
  • 7. Frontline Data Collection  Frontline data collection technologies improve data management and effectiveness  Reduce time spent between data collection and data entry, i.e. automate data aggregation  Reduce errors in data entry  Types of Frontline data collection strategies  PDA- Personal Data Assistant (laptops or tablets)- electronic forms  Mobile phone technology  Eelectronic forms: containing numeric fields and multiple-choice menus,  SMS: where users enter delimited text messages according to printed cue cards,  Voice: where users call an operator and dictate the data in real-time.  Optical mark recognition- automatically extracting expected data from noticeable fields, Such as checkboxes and fill-in fields, on printed forms.
  • 8. Applications of Frontline Data Collection techniques  Case study 1: Child malnutrition Programme, India  Type of Technology: CommCare, a low-cost mobile phone data collection solution (electronic form)  Advantages:  Improved data management and effectiveness in comparison to paper based system  User motivation high- overcoming literacy limitations  Adaptable to complex infrastructure challenges- phone can be charged in 1.5 hours, internet connectivity not required  Limitation  Unsupervised use of phones  Network connectivity required  Application: complex infrastructure challenges and large scale interventions  BRAC programmes: Health, Microfinance and Education
  • 9. Applications of Frontline Data Collection techniques (cont.)  Case Study 2: Mifapro CCT programme, Guatemala  Type of technology: Episurveyor a Java-based application (electronic forms)  Advantages  Cost saving-“freemium” model, offering a free basic version  Access to real time data- cloud-computing application  User friendly  Real-time visualization of the survey responses  Limitations  Some resistance by interviewees not familiar with mobile phone technology  Applications: Real time data is of import  BRAC programmes:
  • 10. Applications of Frontline Data Collection techniques (cont.)  Case Study 3: Community Health Programme, India  Type of Technology: Voice interface with Mobile technology  Advantages:  Lower error rate as compared to electronic and SMS based applications  Lower literacy requirements  Flexibility in data gathering  Decreased training time  Limitations  Cost considerations:  Cost of live operator- however in labour surplus contexts the increased cost of a human operator can be compensated by the decreased costs in other overheads  Voice call costs often higher than the cost of SMS  Application: Literacy of data collector is low and cost is a key concern  BRAC programmes: Health programmes such as MNCH
  • 11. Other technologies for Frontline Data Collection Technology Programme Country Digital camera- An image of the completed survey will be captured by a digital camera and securely and privately stored onto a memory card. A software program will interpret the image capture and report the brightness values of to a .csv table, to then be imported into an excel database where it is managed and sorted Midwifery training programme Haiti PDA- Palm Pilot m500 series; Palm Inc., Santa Clara, CA) programmed using Pendragon Forms software version 3.1 Clinical surveillance activity Gabon PDA- Psion Organiser II XP hand-held computer, Malaria morbidity survey Gambia Mobile technology-Open data kit currently provides four tools to this end: Collect, Aggregate, Voice, and Build. Collect is a mobile platform that renders application logic and supports the manipulation of data. Treatment protocols for treatable diseases Tanzania Mobile technology EpiHandy tool, a mobile health data collection and record access program enabled by PDAs, medical records Uganda Mobile technology-iFormBuilder An iOS mobile data collection platform that features an application that requires no paper or connection and is available worldwide. Agriculture-Distribution of seed vouchers to beneficiaries Central African republic

Notes de l'éditeur

  1. The USAID-funded Drug Demand Reduction Program (DDRP) aims to address social problems among vulnerable populations involved in orat-risk of involvement in drug use in Central Asia. DDRP activities in Uzbekistan, Tajikistan and the Ferghana Valley region of Kyrgyzstan are aresponse to the dramatic rise in opiate injection in the region. The term “drug demand reduction” is used to describe policies orprograms aimed at reducing the consumer demand for narcotic drugs and psychotropic substances covered by international drug control conventions[1].
  2. Smart cards and Photo id-Beneficiaries (Expecting mothers) receive a photo ID and smart card. When they receive services, the community health worker scans the smart card using the hand-held device and enters any data or feedback on the services provided. Community health workers then use hand-held devices to record data on services provided, with acknowledgement from beneficiaries, as well as collect feedback from pregnant mothers about the services they receive or to report problems.
  3. Flood Emergency Cash Transfer Project (FECT) Project reaching at least 1 million households (7.5 million people), including the vulnerable (widows and disabled-headed households) and providing $404 to each beneficiary household in two equal tranches of $202. The beneficiaries were enrolled in the program through biometric verification with a national ID database and cash grants were disbursed through debit cards by engaging the private banking sector.
  4. Flood Emergency Cash Transfer Project (FECT) Project reaching at least 1 million households (7.5 million people), including the vulnerable (widows and disabled-headed households) and providing $404 to each beneficiary household in two equal tranches of $202. The beneficiaries were enrolled in the program through biometric verification with a national ID database and cash grants were disbursed through debit cards by engaging the private banking sector.
  5. CommCare, a low-cost mobile phone data collection solution deployed to enhance the paper-based record management system of a non-profit organization working in prevention of child malnutrition in rural central India. Through a three-month unsupervised field trial with ten rural health workers study reports data management gains in terms of data quality, completeness and timeliness for 836 recorded patient cases, and demonstrate strong preference of the system by health workers.
  6. A 2010 Country Governance and Anti-Corruption (CGAC)-funded pilot in Guatemala employed entry-level mobile phones in conjunction with EpiSurveyor, a free, web-based software for data collection, to drastically reduce cost, facilitate accuracy and accelerate implementation of a nationally-representative beneficiary survey of Guatemala‘s conditional cash transfer program.
  7. The paper provides a quantitative evaluation of data entry accuracy using low-cost mobile phones in a resource constrained environment. Evaluation of electronic, SMS and voice application in a study of 13 health workers and paramedical staff over a month-long period in Gujarat, India. Each participant was trained and evaluated on all of the interfaces. Focus was on data collection relevant to the TB treatment programme