Evidence map›Paper›PMID 26594648›Full record

ArticleAJOB empirical bioethics

Exploring Institutional Research Ethics Systems: A Case Study From Uganda.

Adnan A Hyder, Joseph Ali, Kristina Hallez, Tara White, Nelson K Sewankambo, Nancy E Kass

Abstract read
In one paragraph

Article in AJOB empirical bioethics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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3 · Its place in the literature

Who cites it

6 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

6 authors.

Adnan A HyderDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, and Johns Hopkins Berman Institute of Bioethics, USA.
Joseph AliJohns Hopkins Berman Institute of Bioethics, USA.
Kristina HallezJohns Hopkins Berman Institute of Bioethics, USA.
Tara WhiteJohns Hopkins Berman Institute of Bioethics, USA.
Nelson K SewankamboMakerere University College of Health Sciences, Uganda.
Nancy E KassJohns Hopkins Bloomberg School of Public Health and Johns Hopkins Berman Institute of Bioethics, USA.

Funding

The Addis Ababa University-Johns Hopkins University Research Ethics Training Program in Ethiopia (AAU-JHU RETP)R25TW001604 · FIC · JOHNS HOPKINS UNIVERSITY · PI Adamu Addissie, Joseph Ali · 2000 to 2026
$6.4M
FIC NIH HHS R25 TW001604
6 · The paper itself

Abstract

backgroundThe increasing globalization of research drives a need for greater research ethics capacity in low resource countries. Several programs have attempted to expand research ethics capacity by training individuals, but few have focused on broader research ethics systems and institutions. This study describes and applies an institutional research ethics model to assess the institutional research ethics capacity of Makerere University College of Heath Sciences (MakCHS) in 2011.

methodsInternal and external stakeholders conducted the assessment of MakCHS using the multidimensional Octagon framework. Five methods were used to collect data on current ethical processes and institutional relationships.

resultsMakCHS scored in the mid range on all Octagon domains, with some variation between external and internal assessments. The external Octagon scores suggest that MakCHS's areas of strengths are in identity, structure, relevance, target groups, and working environment; needs are greater in the areas of production, competence, and systems of finance and administration. Discrepancies in external and internal assessment can serve as a useful platform to shape ongoing discussions and strategic efforts.

conclusionsThe assessment identified strengths, opportunities, and challenges for institutional research ethics capacity at MakCHS. We believe this systematic approach was helpful in evaluating research ethics needs and provides a benchmark for institutions to measure progress over time.

Indexed as

bioethicsinstitutional developmentresearch ethicsSub-Saharan AfricaUganda

Identifiers

PMID26594648
PMCPMC4652948

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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.