data quality and use (immunization and ict context) (4)

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DATA QUALITY AND USE (IMMUNIZATION AND ICT CONTEXT) Lora Shimp, Senior Immunization Technical Officer (contributions: Muhammad Tariq,Alpha Nsaghurwe, Ousmane Dia) Using Information and Communication Technology to Improve Immunization Programs Istanbul, 11-13 November 2014

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Page 1: Data quality and use (immunization and ict context) (4)

DATA QUALITY AND USE (IMMUNIZATION AND ICT CONTEXT)

Lora Shimp, Senior Immunization Technical

Officer

(contributions: Muhammad Tariq, Alpha

Nsaghurwe, Ousmane Dia)

Using Information and Communication

Technology to Improve Immunization

Programs

Istanbul, 11-13 November 2014

Page 2: Data quality and use (immunization and ict context) (4)

2 |

JSI perspective on data

• Improve routine (as possible)

data analysis, use, and feed-

in/feedback at all levels for

decision making

• Data as a “culture”,

particularly at operational

level

• Triangulation – routine tools,

surveys, mapping, locally-

generated, trend analysis, etc

Page 3: Data quality and use (immunization and ict context) (4)

3 |

JSI perspective on data

• Visualization and user-

friendly/adapted (e-system

technologies; paper-based

sometimes also needed)

• Experience in over 30

countries for over 35 years –

technical support in

immunization, RMNCH,

logistics, technology and

software development, M&E

Page 4: Data quality and use (immunization and ict context) (4)

4 |

Immunization

register

Tickler file

Child

health card

Tally

sheet by antigen

Stock ledger

Relevance of existing data tools

Existing EPI data are usable & needed, but have

different purposes; some redundancy

Important to build on what is working but

incorporate technology that is also:

• user-appropriate

• bottom-up

• incorporating feed-in mechanisms for local

data use, decision-making, and quality

reporting

• built with room-to-grow, as technology

advances

Page 5: Data quality and use (immunization and ict context) (4)

5 |

However: How to adapt to & keep-up with technology?

Use and adaptation of data in the field

Immunization data are

already being

consolidated, summarized,

and trends analyzed at

facility and community

levels.

Page 6: Data quality and use (immunization and ict context) (4)

6 |

Hospitals HC DSP

√ √ √

√ √ √

√ √ √

√ √

√ √

√ √ √

Service Delivery Point

R&R

ARVs

R&R

ILS

NTLP

TB

IVD

R&R

labs

R&R

HIV tests

MSD ERP

EPICOR

Shipments

Medical Store Department

Orders Requisitions and Reports (R&R)

District

R&R

R&R

R&R

eLMIS

R&R

ILS-G

Region

LMU

The “data on the wall” can be useful and are now able to be more easily summarized & generated electronically (not just by hand)

Integrating people, processes and tools - eLMIS

Page 7: Data quality and use (immunization and ict context) (4)

7 |

5000+ HF

covered

Vaccine

Module

March 2015

Adapted

platforms for

data collection

(e.g. web, mobile

phone)

Tanzania eLMIS : Where are we?

Page 8: Data quality and use (immunization and ict context) (4)

8 |

Vaccin

es

lmis.gov.pk

VSSM

CCEM 2

Paper based

SDMS LMIS

Inventory Management

Routine Immunization

Campaigns

Cold Chain Equipment Management

vLMIS

IHR

Inventory Management

Consumption Reporting Paper

based

Paper based

Inventory Management

Consumption Reporting

Paper based

Paper based

Con

tracepti

ves

Tu

berc

ulo

sis

Online

lmis.gov.pk

- Includes policy, operations and system implementation guidance

PAKISTAN: One

web based IS for

three supply chains

Page 9: Data quality and use (immunization and ict context) (4)

9 |

vLMIS – Better insight through data

with inclusive desk and field monitoring –

assessment, planning and implementation

(includes Change Management Board, Helpdesk,

GoP & donors)

Page 10: Data quality and use (immunization and ict context) (4)

12 |

• Training – in-service data use and

influence pre-service: standardized

immunization curriculum for all

medical & training institutes; agreed

data competencies (e.g.exit exams)

• Quality data & technology savvy –

• follow up through review

meetings and supportive

supervision;

• “professionalize” data managers

(e.g. statisticians, build analytical

and managerial capacity,

technology skills)

• appreciation of good and

consistent data performance

(certificates, exchange visits,

asset-based review/learning)

What progress is needed in other areas to bring about progress in data quality and use?

Page 11: Data quality and use (immunization and ict context) (4)

13 |

• Supply chain – link stock management

data; eLMIS

• Community – build capacity for HWs

and mobilizers to compare and use

data

What progress is needed in other areas to bring about progress in data quality and use?

Page 12: Data quality and use (immunization and ict context) (4)

Thank you