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
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].
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.
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.
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.
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.
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.
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