Duration: 1 month
Duty Station: Dar-es-salaam, Kigoma, Morogoro and Pwani
Background
Since 2008, World Lung Foundation (WLF) Maternal Health Program has contributed to the
Government of Tanzania’s efforts to reduce maternal and neonatal mortality by improving
women’s access to good-quality emergency obstetric and neonatal care (EmONC). EmONC is the
package of health services necessary to treat life-threatening complications that cause the
majority of maternal and neonatal deaths.
The WLF program currently works in 37 public facilities in the regions of Kigoma, Morogoro and
Pwani to bring good-quality EmONC to rural, isolated populations. WLF has upgraded health
centers, strengthens district hospitals, and trains and mentors Assistant Medical Officers to
provide emergency obstetric and neonatal care including cesarean sections, trains and mentors
nurse-midwives/clinical officers to provide anesthesia, skilled birth attendance and basic
emergency obstetric care.
WLF’s strategic plan 2015-2018 underscores the need to share lessons learned from the
program implementation to the wider local, regional and international scientific audience for
possible scale-up. To this end we seek to mobilize and organize routine data and information
from our archives and from facility records in those facilities WLF supports for possible
dissemination. Data clerk(s) will work with a maternal health consultant and WLF experts to
map, collect and organize data on ruptured uterus across all the supported facilities. This task
will be supplemented by documentation of case by case records for the proposed variables
related to uterine rupture for five years, from January 2011 to December, 2015, by visiting all 15
supported facilities. Therefore, the data clerk will work with WLF’s focal persons at the
supported facilities to sort out patient records and extract information for the specific cases as
per indicated variables.
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mentioned period (2011 to 2015) will be provided and the data clerk will be assisted to access
records and information at the supported facilities from respective local government
authorities.
Responsibilities
The data clerk will work under the maternal health consultant to accomplish the following;
1. Records and data mapping: Use the archived monthly and quarterly data collection
templates to map out ruptured uterus reported for five years (identify the cases and
record when and where it was performed), from January 2011 to December 2015.
2. Case records (file sorting): Working with WLF facility focal persons, sort out relevant
patient records in the supported facilities to identify ALL mapped cases.
3. Data and information records entry: Entering reviewed/audit data and information
into the template(s) developed by the consultant and endorsed by WLF experts.
4. Data organization and analysis: Analyze the collected information and share findings
with the maternal health consultant relevant variables for possible publication.
Requirements
i. Minimum of post-graduate diploma from a recognized institution in monitoring and
evaluation, statistics, or related field and minimum of 3 years of experience in M&E or
related data work.
ii. Experience collecting and analyzing health facility service statistics and other clinical
data.
iii. Experience in the management of health research data
iv. Strong technical skills in data collection, management, monitoring and evaluation.
v. Excellent writing and oral presentation skills
vi. Computer literacy: Microsoft Office (Word, Excel & PowerPoint)
vii. Excellent computer skills using MS Office (Excel, Access, PowerPoint) and
viii. Data analysis software (STATA, SPSS, etc.).
ix. Fluency in Speaking/Reading/Writing English and Kiswahili.
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Compensation: Considerable consultancy fee will be provided. Travel arrangements will be
made by World Lung Foundation.
How to apply: Email your Curriculum Vitae and cover letter along with the names, email
addresses and phone numbers of three professional references to the Clinical Director by email
at SDominico@worldlungfoundation.org before 1600hrs, 10th October, 2016. Only shortlisted
candidates will be contacted.
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