Data for tracking SDGs: challenges in capturing neonatal data from hospitals in Kenya
Background Target 3.2 of the United Nations Sustainable Development Goals (SDGs) is to reduce neonatal mortality. In low-income and middle-income countries (LMICs), the District Health Information Software, V.2 (DHIS2) is widely used to help improve indicator data reporting. There are few reports on...
Saved in:
| Main Authors: | George Mbevi, Mike English, Chris Paton, Christiane Hagel |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2020-03-01
|
| Series: | BMJ Global Health |
| Online Access: | https://gh.bmj.com/content/5/3/e002108.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantifying the indirect impact of COVID-19 pandemic on utilisation of outpatient and immunisation services in Kenya: a longitudinal study using interrupted time series analysis
by: George Mbevi, et al.
Published: (2022-03-01) -
Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis.
by: Naomi Muinga, et al.
Published: (2023-01-01) -
The indirect impact of COVID-19 pandemic on inpatient admissions in 204 Kenyan hospitals: An interrupted time series analysis.
by: Steven Wambua, et al.
Published: (2021-01-01) -
Effective coverage and budget implications of skill-mix change to improve neonatal nursing care: an explorative simulation study in Kenya
by: David Gathara, et al.
Published: (2019-12-01) -
Assessment of neonatal referral infrastructure and clinical characteristics of referred neonates in three first referral hospitals in Nairobi County, Kenya [version 3; peer review: 1 approved, 2 approved with reservations]
by: Christine Manyasi, et al.
Published: (2023-11-01)