Evidence map›Paper›PMID 27814734›Full record

ArticleHuman resources for health2016

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

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

Abstract read
In one paragraph

Article in Human resources for health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

9 authors.

Keith P WatersDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, 1600 Clifton Road, MS-E77, Atlanta, GA, 30329, United States of America. kpwaters@cdc.gov.
Moises Ernesto MazivilaMinistry of Health, Mozambique, Av. Eduardo Mondlane, No. 1008, Maputo, Mozambique.
Martinho DgedgeMinistry of Health, Mozambique, Av. Eduardo Mondlane, No. 1008, Maputo, Mozambique.
Edgar NecocheaJhpiego/Johns Hopkins University, 1615 Thames Street, Baltimore, MD, 21231, United States of America.
Devan ManharlalJhpiego Mozambique, Rua Jose Mateus 27, Maputo, Mozambique.
Alexandra ZuberDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, 1600 Clifton Road, MS-E77, Atlanta, GA, 30329, United States of America.
Beatriz de Faria LeãoJhpiego Mozambique, Rua Jose Mateus 27, Maputo, Mozambique.
Debora BossemeyerJhpiego Mozambique, Rua Jose Mateus 27, Maputo, Mozambique.
Alfredo E VergaraCDC Mozambique, JAT Complex 4, 7th Floor, Ave. Zedequias Manganhela 267, Maputo, Mozambique.

Funding

STRENGTHENING SAFE HOSPITALS AND CLINICS IN HIV/AIDS PREVENTION ACTIVITIES, SERVIU2GPS001542 · PS · JOHNS HOPKINS UNIVERSITY · PI BOSSEMEYER, DEBORA KNEWITZ · 2009 to 2015
$98.8M
NCHHSTP CDC HHS U2G PS001542
6 · The paper itself

Abstract

introductionOver 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. CASE PRESENTATION: 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.

conclusionThe 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.

Indexed as

Delivery of Health CareHealth Information SystemsHealth PersonnelPersonnel ManagementClinical CompetenceEmploymentGovernmentHealth Care SectorHealth ResourcesHealth ServicesHumansMozambiquePublic SectorRegistriesRetirementSalaries and Fringe BenefitsData useDeploymentHealth workforce registryHIV/AIDSHuman resources information system (HRIS)RetirementStaffing

Identifiers

PMID27814734
PMCPMC5097348

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.