Evidence map›Paper›PMID 36109060›Full record

ArticleGlobal health, science and practice2022

Lessons Learned From the Capacity-Building and Mentorship Program to Improve Health Information Systems in 11 Districts of Ethiopia.

Hiwot Belay, Afrah Mohammedsanni, Abebaw Gebeyehu, Hibret Alemu, Naod Wendrad, Biruk Abate, Wubshet Denboba, Frehiwot Mulugeta, Shemsedin Omer, Barbara Knittel

Abstract read
In one paragraph

Article in Global health, science and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hiwot BelayJohn Snow, Inc., Ethiopia Data Use Partnership, Addis Ababa, Ethiopia. hiwot_belay@jsi.com.
Afrah MohammedsanniJohn Snow, Inc., Ethiopia Data Use Partnership, Addis Ababa, Ethiopia.
Abebaw GebeyehuJohn Snow, Inc., Ethiopia Data Use Partnership, Addis Ababa, Ethiopia.
Hibret AlemuJohn Snow, Inc., Ethiopia Data Use Partnership, Addis Ababa, Ethiopia.
Naod WendradEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Biruk AbateEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Wubshet DenbobaJohn Snow, Inc., Ethiopia Data Use Partnership, Addis Ababa, Ethiopia.
Frehiwot MulugetaJohn Snow, Inc., Ethiopia Data Use Partnership, Addis Ababa, Ethiopia.
Shemsedin OmerJohn Snow, Inc., Ethiopia Data Use Partnership, Addis Ababa, Ethiopia.
Barbara KnittelJohn Snow, Inc., Arlington, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth information systems (HIS) performance in Ethiopia is currently insufficient, and improvements are required to ensure that decision making is data driven. We share our experiences from the early-stage implementation of a package of HIS capacity-strengthening interventions as part of an innovative academic-government collaboration that addresses challenges in HIS performance.

methodsWe used routine program data to assess HIS performance using the Performance of Routine Information System Management (PRISM) assessment tools. The assessment employed a pre-post design and was conducted in a total of 24 selected health facilities (6 hospitals and 18 health centers) from 11 districts in Ethiopia at project baseline (2018) and midline (2020).

resultsSource document completeness rate reached less than 80% for the majority of the assessed data elements. Improvements were observed in quarterly report completeness (26% vs. 83%) and timeliness (17% vs. 48%). Though data inaccuracies are noted for all assessed data elements in 2020, the majority (83%) of skilled birth attendance and HIV reports (68%) fall within the acceptable range of reporting accuracy. The identification of performance-related problems, using performance monitoring team (PMT) meetings, improved between 2018 and 2020 (67% vs 89%). Similar improvements were also observed in developing action plans to solve identified problems via the PMT (52% in 2018 vs. 89% in 2020). Data use for planning and target setting (65% in 2018 vs. 90% in 2020), reviewing performance (58% in 2018 vs. 60% in 2020), and supervision (51% in 2018 vs. 53% in 2020) all improved among assessed health facilities. DISCUSSION: This study showed that a capacity-building and mentorship program that engages experts from multiple disciplines and sectors can improve the quality and use of health data. This partnership enabled engagement between government and academic stakeholders and allowed for a more robust exchange of resources and expertise toward HIS improvement.

Indexed as

Health Information SystemsCapacity BuildingDelivery of Health CareEthiopiaHumansMentors

Identifiers

PMID36109060
PMCPMC9476479

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.