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eSIP-Saúde: Mozambique’s novel approach for a sustainable human resources for health information system

Overview of attention for article published in Human Resources for Health, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

policy
1 policy source
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8 X users

Citations

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16 Dimensions

Readers on

mendeley
133 Mendeley
Title
eSIP-Saúde: Mozambique’s novel approach for a sustainable human resources for health information system
Published in
Human Resources for Health, November 2016
DOI 10.1186/s12960-016-0159-y
Pubmed ID
Authors

Keith P. Waters, Moises Ernesto Mazivila, Martinho Dgedge, Edgar Necochea, Devan Manharlal, Alexandra Zuber, Beatriz de Faria Leão, Debora Bossemeyer, Alfredo E. Vergara

Abstract

Over the past decade, governments and international partners have responded to calls for health workforce data with ambitious investments in human resources information systems (HRIS). However, documentation of country experiences in the use of HRIS to improve strategic planning and management has been lacking. The purpose of this case presentation is to document for the first time Mozambique's novel approach to HRIS, sharing key success factors and contributing to the scant global knowledge base on HRIS. Core components of the system are a Government of Mozambique (GOM) registry covering all workers in the GOM payroll and a "health extension" which adds health-sector-specific data to the GOM registry. Separate databases for pre-service and in-service training are integrated through a business intelligence tool. The first aim of the HRIS was to identify the following: who and where are Mozambique's health workers? As of July 2015, 95 % of countrywide health workforce deployment information was populated in the HRIS, allowing the identification of health professionals' physical working location and their pay point. HRIS data are also used to quantify chronic issues affecting the Ministry of Health (MOH) health workforce. Examples include the following: HRIS information was used to examine the deployment of nurses trained in antiretroviral therapy (ART) vis-à-vis the health facilities where ART is being provided. Such results help the MOH align specialized skill sets with service provision. Twenty-five percent of the MOH health workforce had passed the 2-year probation period but had not been updated in the MOH information systems. For future monitoring of employee status, the MOH established a system of alerts in semi-monthly reports. As of August 2014, 1046 health workers were receiving their full salary but no longer working at the facilities. The MOH is now analyzing this situation to improve the retirement process and coordination with Social Security. The Mozambican system is an important example of an HRIS built on a local platform with local staff. Notable models of strategic data use demonstrate that the system is empowering the MOH to improve health services delivery, health workforce allocation, and management. Combined with committed country leadership and ownership of the program, this suggests strong chances of sustainability and real impact on public health equity and quality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 15%
Student > Ph. D. Student 17 13%
Researcher 15 11%
Student > Bachelor 13 10%
Student > Doctoral Student 9 7%
Other 14 11%
Unknown 45 34%
Readers by discipline Count As %
Medicine and Dentistry 15 11%
Nursing and Health Professions 15 11%
Business, Management and Accounting 14 11%
Social Sciences 11 8%
Economics, Econometrics and Finance 4 3%
Other 21 16%
Unknown 53 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 January 2023.
All research outputs
#4,158,845
of 25,374,647 outputs
Outputs from Human Resources for Health
#480
of 1,261 outputs
Outputs of similar age
#63,915
of 317,488 outputs
Outputs of similar age from Human Resources for Health
#9
of 22 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,488 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.