small data matter
TRANSCRIPT
Small Data Matter Real-time data use on the front lines for
program improvement and impact
CORE Group Spring Meeting, 2015
Background
• In Kenya, there are gaps in documentation of circumstances and numbers of maternal deaths.
• This information will be used to guide decision making on, e.g; provider training and, resource allocation, focus areas for supervision, and mentoring.
• Pilot to inform collection of optimal routine data: – to support program planning and monitoring – to guide quality improvement efforts, and – to advocate for the inclusion of MNH indicators in the
national HMIS.
A Maternal and Newborn Health Monitoring Pilot in Kenya
Mark Kabue; Barbara Rawlins; Megan Wysong; Rose Mulindi; Teresia Mutuku: Jhpiego
Key finding and data use • The intervention:
– M&E training of clinical and other staff – Distribution and routine use of MNH data tools – Supervisory visits
• Key finding: – Improved MNH recordkeeping that informs mentoring
and service delivery. • Data use:
– The MOH registers were revised in 2013, and data on some of the indicators piloted are now collected routinely.
A Maternal and Newborn Health Monitoring Pilot in Kenya
Mark Kabue; Barbara Rawlins; Megan Wysong; Rose Mulindi; Teresia Mutuku: Jhpiego
Real Time Monitoring for Health Programs using Care Groups
Henry Perry, Johns Hopkins University. April 2015
Real Time Monitoring for Health Programs using Care Groups
Monitoring of Population Coverage of Key Indicators
• Mini-KPC • Data collected quarterly by Promoters at time
of Care Group meetings
Real Time Monitoring for Health Programs using Care Groups
Mortality Monitoring
• Care Group volunteers report number of
births and number of under-deaths (among live-born children) at each meeting, and this information is passed up the chain
Henry Perry, JHU
Real-time data use at CARE • SAFPAC - Family planning in conflict/fragile
settings (Clinical training, community mobilization, supplies and logistics, data-driven supervision)
• Metrics of record – Number of new FP users and post-abortion care – Contraceptive method mix
• No household surveys (or census) so no prevalence, mortality or fertility • But no quality or coverage!
Dora Ward Curry, CARE: CORE Group Spring Meeting, April 2015
• % FP among PAC
CARE’s approach to real-time data use
Dora Ward Curry, CARE: CORE Group Spring Meeting, April 2015
• % FLHWs assessed
• Supervisory checklist scores
• Data visualization • FLHW skills building • Facilitated, periodic review of their own data
The CORE Group Polio Project (CGPP) India
– Partners : ADRA, PCI and CRS and 10 national
NGOs – The CGPP secretariat works in close
collaboration with the Ministry of Health, WHO, UNICEF, Rotary International and USAID.
– In 2003, UNICEF & CGPP started working together as the ‘Social Mobilization Network’ (SM Net) to provide concentrated support in high risk areas (for polio) of Uttar Pradesh state.
– CGPP reaches about 600,000 under 5 children in 12 districts of UP through 1300 + mobilizers
0142
741
559
874
676
66134
225268265
1126
0
300
600
900
1200
1500
1800
2100
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012*P1 wild P3 wild * data as on 14 September 2012 P2 wild
Polio : Progress in India – A snapshot • 1995: Polio SIAs (campaigns) launched
• 1997: Acute Flaccid Paralysis (AFP) Surveillance initiated
• 1999: Last case of Wild Polio Virus (WPV) type 2 – (U.P)
• 2010: Last case of WPV type 3 - (Jharkhand)
• 2011: Last case of WPV type 1 - ( West Bengal)
• 2012: India removed from list of endemic countries
1600
mOPV 1 bOPV 1 & 3
Location of poliovirus by type, 2011*
Wild Poliovirus 13 January, 2011
Howrah, West Bengal
Rukhsar : The Last case of polio in Inida
Real-time data usage: A Framework of CORE Group Polio Project India
Robust MIS • Tracking case
specific (household/child) inputs and outcomes
• Tracking defaulters in vaccination – SIA and RI
• Recording of programmatic inputs, outputs and outcomes at every level (MPRs)
Assessment (M&E) of program though internal (MIS, surveys) and external investigations (baseline, midline, endline)
Addition/modification in interventions
• Introduction of RI drives
• Tracking high risk populations
• Intensive tracking of pregnant mothers and newborns to improve OPV0 coverage
• Specific activities to improve awareness and coverage of RI (e.g. RI card holder, invitation slips)
• Inputs in training
Ensuring data quality though validity checks/data triangulation (e.g. data validation exercises - validating reported outcomes through project MIS with other sources)
Ensuring quality of activities through Supervisory checklists
Special studies for reach, quality and programmatic inputs
(LQAS study 2011, BA study 2015)
Real-time data usage: Applications at Block (BMC) level
Areas with more missed children in the latest SIA
Activity planning of a BMC
Real-time data usage: Example from the frontline (CMC level)
Situation analysis – Identification of issues/concerns CMC Monthly planning - IPC visits
A child due for next shot of DPT/Hep.B/OPV but yet to be vaccinated
Examples: Analysis by frontline workers
Quarterly comparison of RI Coverage SIA wise
Booth coverage FY 15
Date
Original Project Area
Number of births reported Number of under-five deaths reported
March 2000 189 19 April 155 22 May 136 20 June 141 29 July 130 18 August 118 15 September 130 25 October 166 16 November 178 16 December 129 10 January 2001 not available not available February 159 16 March 146 10 April 118 8 May 160 21 June 121 17 July 110 16 August 114 9 September 113 12 October 100 19 November 145 19 December 146 10 Monitoring using Care Groups
Under-Five Mortality, World Relief/Cambodia Child Survival Project, 2000-2004
020406080
100120140160180200
Jan
June
NovApril
Sept
Feb July Dec May Oct Mar
AugJa
n
Dea
ths
per
1,00
0 liv
e bi
rths
KampongChamProvince
National DHS
Project Area
2000 2001 2002 2003 2004
Kampong Cham Province
National
Henry Perry, JHU
Monitoring using Care Groups
Under-5 Mortality in Cambodia Nationally (1990-2005) with Projection to 2015 and in the Ponhea Kriek-Dombe
Operational Health District (1990-2008)
0
20
40
60
80
100
120
140
Dea
ths p
er 1
000
live
birt
hs
Year
National (UNICEF)
Ponhea Kriek-Dombe Operational Health District
MDG goal for 2015: 39
Henry Perry, JHU
Monitoring using Care Groups
Percentage of Children Who Received All Immunizations
0
10
20
30
40
50
60
70
80
90
100
1998 1999 2000 2001 2002 2003 2004 2005
Perc
enta
ge c
over
age Kampong
Cham
NationalDHS
OriginalArea
ExtensionArea
Children 12-23 months of age completely vaccinated on day of survey
Handwashing Practices
Percentage of mothers who wash their hands before food preparation, before feeding their children before eating, or after defecation
0102030405060708090
100
1998
1999
2000
2001
2002
2003
2004
2005
Perc
enta
ge o
f mot
hers OA before food
preparationEA before foodpreparationOA before feedingchildrenEA before feedingchildrenOA afterdefecationEA afterdefecation