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Improving health worldwide
www.lshtm.ac.uk
	
Dr.	Yemisrach	B.	Okwaraji	
Presented	for	Dagu	Supervisors	Workshop	
30-Jan-2017	
Dagu Baseline Survey
Improving health worldwide
www.lshtm.ac.uk
•  The	first	set	of	primary	data	collected	just	before	the	full	
implementaJon	of		OHEP	
•  The	main	aims	include:	
	(i)	To	obtain	baseline	informaJon	on	the	characterisJcs	of	
health	providers,	households,	women	aged	13-49	and	their	
children;		
	
(ii)	To	enable	an	examinaJon	of	the	differences	in	
characterisJcs	of	the	study	populaJon	between	the	eligible	
individuals	in	the	intervenJon	and	comparison,	and		
	
(iii)	To	provide	informaJon	on	outcomes	against	which	the	
OHEP	project	impact	will	be	evaluated.		
Aims
Study population
•  For	the	household	survey	
•  A	representaJve	sample	of	all	households	in	the	study	woreda	
•  	with	parJcular	focus	on	women	aged	13	to	49	years,	and	
•  Children	under	the	age	of	5	years.		
	
	
•  For	the	health	provider	survey	
•  Health	Centre	staff		who	provide	care	for	neonates	and	children	
under	5	years	of	age	working	at	Health	Centre	in	selected	
household	clusters.	
•  Health	Extension	Workers	in	the	selected	household	clusters.		
•  Women’s	Development	Army	members	who	reside	in	selected	
household	clusters.
Designing the sample
•  Sampling	frame	
•  We	used	exisJng	sampling	frame		from	CSA	
•  the	lists	of	enumeraJon	Areas(EA)	based	on	the	2007	Ethiopian	
Housing	and	PopulaJon	Census	were	used.		
•  200	enumeraJon	areas	were	selected	with	probability	
proporJonal	to	size	(PPS).	
•  Stra6fica6on	
•  StraJfied	by	intervenJon	and	comparison	area	
•  RepresenaJve	sample	drawn	from	each	stratum
Designing the sample
•  Sample	size	
	Survey	 Interven6on	group	 Comparison	group	 Total	
Household	 3000	 3000	 6000	
Children	aged	2-59	months	 1747	 1747	 3494	
Health	Posts	 100	 100	 200	
Sick	children	observed	at	
health	posts	
400	 400	 800
Selection of comparison sites
•  The	comparison	woredas	were	idenJfied	by		Oromia,	Tigray,	SNNP	
and	Amhara	RHBS		
•  Support	from	their	respecJve	local	universiJes-	MU,	HU,	JU	and	
UoG.	
•  Based	on	all	or	some	of	the	following	criteria:	
1.  Woredas	which	are	similar	to	intervenJon	woredas	in		
•  PopulaJon	size	and	number	of	PHCUs	
•  performance	data	from	2007/2008		
•  Length	of	WDA	network	establishment	
•  Length	of	Jme	since	starJng	ICCM	and	CBNC	program	
•  Socio	demographic	status	of	the	populaJon	
•  Prior	exposure	to	other	similar	programs	
•  Burden	of	disease.	Malaria	vs.	non-Malaria	kebeles		
	
2.  Woredas	with	no	presence	of	partners	working	on	demand	generaJon.	
3.  Woreda’s	proximity	to	the	intervenJon	woredas		
4.  Woredas	adjacent	to	intervenJon	Woredas.
Selection of comparison sites
•  For	Oromia	region	
•  Similar	populaJon	size	and	socio	demographic	characterisJcs	(for	example	Agrarian	vs	
pastoralist)		
•  Distance	from	the	intervenJon	site	to	avoid	contaminaJon	of	informaJon.	So	nearby	
districts	were	excluded.		
•  Similar	exposure	with	the	intervenJon	district	in	terms	of	specific	programs	such	as	iCCM	
and	CBNC	programs	or	
•  Specific	burden	of	disease	such	as	Malaria.		
•  For	SNNP	region		
•  SimilariJes		in	length	of	Jme	since	iCCM	and	CBNC	program	started;		
•  Length	of	Jme	since	WDA	network	established;		
•  PopulaJon	size	and	number	of	PHCUs		
•  Performance	on	service	uJlizaJon	(e.g.	ANC,	facility	delivery,	PNC	and	immunizaJon)		
•  For	Tigray	region	
•  SimilariJes	in	performance	on	iCCM	and	CBNC	programs,		
•  LocaJon	of	the	Woredas	(if	Woreda	is	adjacent	to	intervenJon	Woreda),	and		
•  Proximity	of	the	Woreda	from	the	intervenJon	Woredas		
•  For	Amhara	region	
•  SimilariJes	in	service	utlisaJon	rate	based	on	performance	data	from	EFY	2008	(LAFP,	
Maternity	service	coverage	including	ANC4+,	SBA,	early	PNC,	immunizaJon	coverage,	
access	to	latrine,	model	HHs	graduated);		
•  How	accessible	the	Woreda	is	and		
•  No	presence	of	acJve	partners	working	on	demand	generaJon	programs
Survey tools
Ques6onnaire	design		
•  Developed	by	LSHTM	research	team		
•  Other	sources	also	provided	guides	to	the	quesJonnaires;		
•  Demographic	and	Health	Survey,		
•  IDEAS	CBNC	and	Household	Survey.	
•  	These	various	sources	ensured	
•  A	comprehensive	coverage		
•  PracJcality	and	validity	of	quesJonnaires.	
Ques6onnaire	transla6on	
•  	Final	drai	translated	by	partner	universiJes	
•  Three	local	languages.	
•  Amharic,	Oromifia	and	Tigrigna
Survey tools
•  We	have	8	tools:	
1.  Household	Survey	
2.  Woman	Development	Army	Survey	
3.  Health	Extension	Worker	Survey	
4.  Health	Provider	Assessment	Survey	
5.  Health	Centre	Staff	Survey	
6.  Health	Centre	Survey	
7.  Health	Post	Survey	
8.  Woreda	Contextual	Survey
Study settings
•  The	survey	was	carried	out	in	52	woredas,10	zones	in	four	
regions.		
•  SNNP:	
•  Segen	and	Dawuro	zones	
•  Tigray:	
•  South	East,	Eastern,	Southern	and	Central	
zones			
•  Amhara:	
•  Awi	and	North	Gondar	zones		
•  Oromia:	
•  Guji	and	West	Hararge	zones
StraJfy	the	
sampling	frame	
by	intervenJon		
and	comparison	
area	
Select	clusters	
from	each	strata	
STAGE	1	 STAGE	2	
List	households	in	
selected	cluster	
A	two-stage	straJfied	cluster	sampling	technique		
Household Sampling
Select	households	
to	be	interviewed
Household listing
•  First	stage		
•  200	clusters	selected	from	2007	census	frame.	
•  -SystemaJcally	selected	with	probability	proporJonal	to	
size	
•  Second	stage		
•  A	complete	household	lisJng	was	carried	out	in	each	
selected	cluster(EA)	
•  Based	on	the	household	lisJng,	30		households	are	selected	
from	each	cluster	systemaJcally.
Health Providers Sampling
•  For	every	cluster	of	30	households:	
•  The	WDA	leader	serving	the	household	cluster	were	selected	
•  The	health	post	serving	these	households	were	selected.		
•  The	two	HEWs	serving	the	selected	health	post	were	selected.		
•  The	health	centre	serving	the	selected	health	post	were	selected.		
•  Within	the	HC,	we	collect	informaJon	on	each	member	of	health	center	staff	
who	work	on	sick	child	services	whether	or	not	they	have	been	trained	in	IMNCI	
and	ICCM.	
•  The	woreda	serving	the	selected	health	centre	were	selected
Sick Children Sampling
To	iden6fy	sick	children,	for	every	cluster:	
•  Interviewers	will	conduct	community	mobiliza6on		
•  Interviewers	contacted		1	to	30	WDA	leaders,	
•  Kebele	focal	person	and	
•  Other	key	figures	in	the	community	
•  We	sampled	on	average	4	sick	children	per	health	post.
Field Staff by Region
Region	 Number	of	Teams	 Clusters	 Number	of	HHs	
Amhara	 6	 73	 2190	
Oromia	 5	 69	 2070	
SNNP	 2	 29	 870	
Tigray	 2	 29	 870
Survey Field Staff
•  Recruitment		
•  45	Interviewers	
•  15	Team	leaders	
•  1	Data	manager	
•  1	Central	Coordinator	
•  4	Regional	Coordinators	(PhD	Students)	
•  Training	
•  Two	weeks	training	
•  3	days	field	piloJng		
•  Field	materials	
•  Field	Manual	
•  Tablets	
•  GPS	
•  Other
Questionnaire in tablet
Questionnaire in tablet
Data Transfer to Central Office
Data	transfer	mechanisms	
1.  IFSS(EVDO)	
2.  3G	modem	
3.  USB	flash	disk	sent	by	regional	coordinators
Quality Control
•  At	the	field	
•  Well	trained	interviewers	and	team	leaders	
•  Team	leaders	repeat	interview	
•  Regional	coordinators	supervision	
•  	Weekly	Progress	report	Regional	coordinators	
•  At	Central	Office	
•  Weekly	Quality	Control	report	
•  Internal	inconsistenies	
•  Feedback	loop	from	Central	Office	
•  Frequency	check
Quality Control
Quality Control
Current status
•  Data	collecJon	expected	to	be	completed	in	first	
week	of	February.
Next step
•  Preparing	the	data	for	Analysis	
•  Analysis	workshop	(in	March)	
•  PhD	students	wriJng	their	first	paper	
•  Baseline	report	for		
•  Implementers	
•  FMoH

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Dagu baseline survey - Jan 2017

  • 2. Improving health worldwide www.lshtm.ac.uk •  The first set of primary data collected just before the full implementaJon of OHEP •  The main aims include: (i) To obtain baseline informaJon on the characterisJcs of health providers, households, women aged 13-49 and their children; (ii) To enable an examinaJon of the differences in characterisJcs of the study populaJon between the eligible individuals in the intervenJon and comparison, and (iii) To provide informaJon on outcomes against which the OHEP project impact will be evaluated. Aims
  • 3. Study population •  For the household survey •  A representaJve sample of all households in the study woreda •  with parJcular focus on women aged 13 to 49 years, and •  Children under the age of 5 years. •  For the health provider survey •  Health Centre staff who provide care for neonates and children under 5 years of age working at Health Centre in selected household clusters. •  Health Extension Workers in the selected household clusters. •  Women’s Development Army members who reside in selected household clusters.
  • 4. Designing the sample •  Sampling frame •  We used exisJng sampling frame from CSA •  the lists of enumeraJon Areas(EA) based on the 2007 Ethiopian Housing and PopulaJon Census were used. •  200 enumeraJon areas were selected with probability proporJonal to size (PPS). •  Stra6fica6on •  StraJfied by intervenJon and comparison area •  RepresenaJve sample drawn from each stratum
  • 5. Designing the sample •  Sample size Survey Interven6on group Comparison group Total Household 3000 3000 6000 Children aged 2-59 months 1747 1747 3494 Health Posts 100 100 200 Sick children observed at health posts 400 400 800
  • 6. Selection of comparison sites •  The comparison woredas were idenJfied by Oromia, Tigray, SNNP and Amhara RHBS •  Support from their respecJve local universiJes- MU, HU, JU and UoG. •  Based on all or some of the following criteria: 1.  Woredas which are similar to intervenJon woredas in •  PopulaJon size and number of PHCUs •  performance data from 2007/2008 •  Length of WDA network establishment •  Length of Jme since starJng ICCM and CBNC program •  Socio demographic status of the populaJon •  Prior exposure to other similar programs •  Burden of disease. Malaria vs. non-Malaria kebeles 2.  Woredas with no presence of partners working on demand generaJon. 3.  Woreda’s proximity to the intervenJon woredas 4.  Woredas adjacent to intervenJon Woredas.
  • 7. Selection of comparison sites •  For Oromia region •  Similar populaJon size and socio demographic characterisJcs (for example Agrarian vs pastoralist) •  Distance from the intervenJon site to avoid contaminaJon of informaJon. So nearby districts were excluded. •  Similar exposure with the intervenJon district in terms of specific programs such as iCCM and CBNC programs or •  Specific burden of disease such as Malaria. •  For SNNP region •  SimilariJes in length of Jme since iCCM and CBNC program started; •  Length of Jme since WDA network established; •  PopulaJon size and number of PHCUs •  Performance on service uJlizaJon (e.g. ANC, facility delivery, PNC and immunizaJon) •  For Tigray region •  SimilariJes in performance on iCCM and CBNC programs, •  LocaJon of the Woredas (if Woreda is adjacent to intervenJon Woreda), and •  Proximity of the Woreda from the intervenJon Woredas •  For Amhara region •  SimilariJes in service utlisaJon rate based on performance data from EFY 2008 (LAFP, Maternity service coverage including ANC4+, SBA, early PNC, immunizaJon coverage, access to latrine, model HHs graduated); •  How accessible the Woreda is and •  No presence of acJve partners working on demand generaJon programs
  • 8. Survey tools Ques6onnaire design •  Developed by LSHTM research team •  Other sources also provided guides to the quesJonnaires; •  Demographic and Health Survey, •  IDEAS CBNC and Household Survey. •  These various sources ensured •  A comprehensive coverage •  PracJcality and validity of quesJonnaires. Ques6onnaire transla6on •  Final drai translated by partner universiJes •  Three local languages. •  Amharic, Oromifia and Tigrigna
  • 9. Survey tools •  We have 8 tools: 1.  Household Survey 2.  Woman Development Army Survey 3.  Health Extension Worker Survey 4.  Health Provider Assessment Survey 5.  Health Centre Staff Survey 6.  Health Centre Survey 7.  Health Post Survey 8.  Woreda Contextual Survey
  • 10. Study settings •  The survey was carried out in 52 woredas,10 zones in four regions. •  SNNP: •  Segen and Dawuro zones •  Tigray: •  South East, Eastern, Southern and Central zones •  Amhara: •  Awi and North Gondar zones •  Oromia: •  Guji and West Hararge zones
  • 11.
  • 12.
  • 13.
  • 14.
  • 16. Household listing •  First stage •  200 clusters selected from 2007 census frame. •  -SystemaJcally selected with probability proporJonal to size •  Second stage •  A complete household lisJng was carried out in each selected cluster(EA) •  Based on the household lisJng, 30 households are selected from each cluster systemaJcally.
  • 17. Health Providers Sampling •  For every cluster of 30 households: •  The WDA leader serving the household cluster were selected •  The health post serving these households were selected. •  The two HEWs serving the selected health post were selected. •  The health centre serving the selected health post were selected. •  Within the HC, we collect informaJon on each member of health center staff who work on sick child services whether or not they have been trained in IMNCI and ICCM. •  The woreda serving the selected health centre were selected
  • 18. Sick Children Sampling To iden6fy sick children, for every cluster: •  Interviewers will conduct community mobiliza6on •  Interviewers contacted 1 to 30 WDA leaders, •  Kebele focal person and •  Other key figures in the community •  We sampled on average 4 sick children per health post.
  • 19. Field Staff by Region Region Number of Teams Clusters Number of HHs Amhara 6 73 2190 Oromia 5 69 2070 SNNP 2 29 870 Tigray 2 29 870
  • 20. Survey Field Staff •  Recruitment •  45 Interviewers •  15 Team leaders •  1 Data manager •  1 Central Coordinator •  4 Regional Coordinators (PhD Students) •  Training •  Two weeks training •  3 days field piloJng •  Field materials •  Field Manual •  Tablets •  GPS •  Other
  • 23. Data Transfer to Central Office Data transfer mechanisms 1.  IFSS(EVDO) 2.  3G modem 3.  USB flash disk sent by regional coordinators
  • 24. Quality Control •  At the field •  Well trained interviewers and team leaders •  Team leaders repeat interview •  Regional coordinators supervision •  Weekly Progress report Regional coordinators •  At Central Office •  Weekly Quality Control report •  Internal inconsistenies •  Feedback loop from Central Office •  Frequency check
  • 28. Next step •  Preparing the data for Analysis •  Analysis workshop (in March) •  PhD students wriJng their first paper •  Baseline report for •  Implementers •  FMoH