Data  visualiza+on  to  strengthen  data-­‐based  decision  making  &  

communica+on  

Anne  Hyre,  EMAS  Chief  of  Party,  Jhpiego  Maya  Tholandi,  EMAS  M&E  Director,  Jhpiego  

Expanding  Maternal  and  Neonatal  Survival  (EMAS)  

•  USAID-­‐funded  •  150  hospitals,  300  health  

centers  •  6  provinces,  30  districts,  

200+  staff  •  ConsorIum:  Jhpiego,  RTI,  

Save,  LKBK,  Muhammadiyah  

2

Where  we  started  

•  Data  visualizaIon  was  not  our  goal  • We  invested  in  systems  to  strengthen  data  quality  and  collect  relevant  informaIon    

•  This  foundaIon  of  relevant,  quality  data  facilitated  effecIve  visualizaIon  

Data  Sources  

•  Standardized  registers  – Tracking  approximately  40,000  births  per  quarter  

•  Performance  standards  – Quarterly  assessments  by  faciliIes  

•  Death/near  miss  reviews    

CommunicaIng  Results  

Examples  of  products  •  Monthly  Facility-­‐level  Data  

Dashboards    •  Monthly  MOH  report    •  Quarterly  M&E  Update    •  Annual  Report:  ExecuIve  

Summary  for  the  MOH  

•  Audience  •  What  informaIon  do  they  

need?    •  How  frequently  do  they  need  

it?  •  Availability  and  quality  of  the  

data  •  How  should  the  informaIon  

be  analyzed  and  organized  to  maximize  its  message?  

•  Incorporate  data  visualizaIon  to  maximize  results  communicaIon  

A  FEW  EXAMPLES  OF  HOW  WE  LOOK  AT  OUR  DATA  

6

Facility-­‐level  Data  VisualizaIon  

Data  for  decision  making  posters  to  track    performance  trends  

Facility-­‐level  Data  VisualizaIon  

Data  use  and  visualiza+on  on  

the  ward  

Clinical  Dashboard  to  Monitor  Monthly  Performance  

§  22  Phase  1  Hospitals  §  53  Phase  2  Hospitals  

Year  4  Target  

Combining  performance  on  clinical  standards  with  service  staIsIcs  

25%  

18%  

42%   41%  

54%  60%  

70%  76%   75%  

80%  

75%  

81%  

61%  64%  

69%  

76%  77%  

71%  

0%  

10%  

20%  

30%  

40%  

50%  

60%  

70%  

80%  

90%  

100%  

July-­‐Sept  2012  Oct-­‐Dec  2012   Jan-­‐March  2013  

April-­‐June  2013  

July-­‐Sept  2013  Oct-­‐Dec  2013   Jan-­‐March  2014  

April-­‐June  2014  

July-­‐Sept  2014  Oct-­‐Dec  2014   Jan-­‐March  2015  

Apr-­‐June  2015  

%  of  Women  Delivering  Preterm  Given  ACS  Compared  with  Hospital  Achievement  on  Related  Clinical  Standard  (Newborn  Tool  #4)  

Phase  1:  %  of  ACS  standards  achieved  (neonatal,  tool  4)   Phase  2:  %  of  ACS  standards  achieved  (neonatal,  tool  4)  

Phase  1:  %  of  preterm  with  ACS   Phase  2:  %  of  preterm  with  ACS  

Data  à  Tailored  InformaIon  à  DisseminaIon  à    Use  à  Decision  Making  

Audience: Leadership Product: Quarterly Update Summarizing Trends in Program Performance

Audience: Field Teams Product: Facility-level Dashboard with Monthly Coverage of Evidence-based Interventions; color-coded for follow-up

Combining GIS and performance against annual targets to guide internal program management

Use  of  Mapping  to  Visualize  Results  Across  a  Decentralized  Program  

*Note:  coverage  data  are  only  available  from  EMAS-­‐supported  facili=es  

Lessons  Learned  

•  EffecIve  data  visualizaIon  requires  relevant  data  of  sufficient  quality  to  mobilize  acIon  

•  Develop  data  products  with  primary  users  to  maximize  uIlity  

•  InformaIon  is  POWERFUL!  Data  serve  as  a  catalyst  for  acIon  when  trusted,  available,  and  visible    

•  VisualizaIon  facilitated  a  broader  awareness  of  performance  &  improved  results  communicaIon  within  the  EMAS  program  and  in  supported  health  faciliIes  

Thank  you!  For  any  quesIons,  please  contact  anne.hyre@jhpiego.org