Evidence map›Paper›PMID 25884825›Full record

ArticleHuman resources for health2015

The effect of pre-service training on post-graduation skill and knowledge retention among mid-level healthcare providers in Mozambique.

Caryl Feldacker, Sergio Chicumbe, Martinho Dgedge, Freide Cesar, Gerito Augusto, Molly Robertson, Francisco Mbofana, Gabrielle O'Malley

Abstract readComparative Study
In one paragraph

Article in Human resources for health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

8 authors.

Caryl FeldackerInternational Training and Education Center for Health (I-TECH), University of Washington, Seattle, WA, USA. cfeld@uw.edu.
Sergio ChicumbeNational Institute of Health, Mozambique Ministry of Health, Maputo, Mozambique. chicumbe@gmail.com.
Martinho DgedgeDepartment of Human Resources, Mozambique Ministry of Health, Maputo, Mozambique. martinho.dgedge@gmail.com.
Freide CesarInternational Training and Education Center for Health (I-TECH), Maputo, Mozambique. freidec@itech-mozambique.org.
Gerito AugustoInternational Training and Education Center for Health (I-TECH), Maputo, Mozambique. geritoa@itech-mozambique.org.
Molly RobertsonInternational Training and Education Center for Health (I-TECH), University of Washington, Seattle, WA, USA. mollyrobe@gmail.com.
Francisco MbofanaNational Institute of Health, Mozambique Ministry of Health, Maputo, Mozambique. mbofana98@yahoo.com.
Gabrielle O'MalleyInternational Training and Education Center for Health (I-TECH), University of Washington, Seattle, WA, USA. gomalley@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMozambique suffers from critical shortages of healthcare workers including non-physician clinicians, Tecnicos de Medicina Geral (TMGs), who are often senior clinicians in rural health centres. The Mozambique Ministry of Health and the International Training and Education Center for Health, University of Washington, Seattle, revised the national curriculum to improve TMG clinical knowledge and skills. To evaluate the effort, data was collected at graduation and 10 months later from pre-revision (initial) and revised curriculum TMGs to determine the following: (1) Did cohorts trained in the revised curriculum score higher on measurements of clinical knowledge, physical exam procedures, and solving clinical case scenarios than those trained in the initial curriculum; (2) Did TMGs in both curricula retain their knowledge over time (from baseline to follow-up); and (3) Did skills and knowledge retention differ over time by curricula? Post-graduation and over time results are presented.

methodst-tests examine differences in scores between curriculum groups. Univariate and multivariate linear regression models assess curriculum-related, demographic, and workplace factors associated with scores on each of three evaluation methods at the p < 0.05 level. Paired t-tests examine within-group changes over time. ANOVA models explore differences between Health Training Institutes (HTIs). Generalized estimating equations determine whether change in scores over time differed by curricula.

resultsMean scores of initial curriculum TMGs at follow-up were 52.7%, 62.6%, and 40.0% on the clinical cases, knowledge test, and physical exam, respectively. Averages were significantly higher among the revised group for clinical cases (60.2%; p < 0.001) and physical exam (47.6%; p < 0.001). HTI was influential on clinical case and physical exam scores. Between graduation and follow-up, clinical case and physical exam scores decreased significantly for initial curriculum students; clinical case scores increased significantly among revised curriculum TMGs.

conclusionsAlthough curriculum revision had limited effect, marginal improvements in the revised group show promise that these TMGs may have increased ability to synthesize clinical information. Weaknesses in curriculum and practicum implementation likely compromised the effect of curriculum revision. An improvement strategy that includes strengthened TMG training, greater attention to pre-service clinical practice, and post-graduation mentoring may be more advantageous than curriculum revision, alone, to improve care provided by TMGs.

Indexed as

Clinical CompetenceCurriculumDelivery of Health CareEducational MeasurementEducation, Medical, UndergraduateRural Health ServicesAdultAnalysis of VarianceFemaleHealth PersonnelHumansInternational CooperationMaleMozambiqueWorkforce

Identifiers

PMID25884825
PMCPMC4404676

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.