Evidence map›Paper›PMID 42699032›Full record

ReviewJournal of public health research2026

Utility measurement tools and quality of life assessment of cleft care in Sub-Saharan Africa: A systematic review.

Kwame Adu Okyere Boadu, Richard Frank-Torblu, Francisca Egyaim, Gizella Theophilia Opoku, Eva Saeh Afriyie, Rita Oduro, Michael Kwadwo Owusu-Duah, Justine Ti-Baliana Martha Naab, Angelica Boakye-Yiadom, Richard Okyere Boadu and 1 more

Abstract readReview
In one paragraph

Review in Journal of public health research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Kwame Adu Okyere BoaduDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0009-0008-2191-2494
Richard Frank-TorbluDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Francisca EgyaimDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Gizella Theophilia OpokuDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Eva Saeh AfriyieDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Rita OduroDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Michael Kwadwo Owusu-DuahDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Justine Ti-Baliana Martha NaabDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0000-0001-9845-7161
Angelica Boakye-YiadomDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Richard Okyere BoaduDepartment of Health Information Management, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Peter Agyei-BaffourDepartment of Health Policy, Management and Economics, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In sub-Saharan Africa (SSA), there is a heavy burden on the health-related quality of life (HRQoL) of both people living with cleft lip and/or palate (CL/P) and their families. In these places, there is little to no utility data for cost-effectiveness analysis. The existing condition-specific patient-reported outcome measures (PROMs) and utility instruments were developed and validated in high-income countries (HIC). Therefore, there is a question on the effectiveness of these tools in SSA. This study systematically maps and appraises the utility measurement tools and HRQoL instruments applied in CL/P care across SSA, characterises their psychometric properties, and identifies gaps to inform instrument adaptation and development. Methods: The Population-Concept-Context framework was used to conduct a systematic review. Searches were performed across four databases. The inclusion criteria were a peer-reviewed quantitative study conducted in SSA with a CL/P population with a named, validated QoL or utility instrument. Results: Twelve studies from five SSA countries were included. While fourteen distinct HRQoL instruments were identified, only one study used a direct utility method. There were three condition-specific PROMs but none was formally validated in SSA. After quality appraisal, five studies were rated low, five were moderate and two had a high risk of bias. Across studies, CL/P had a significant association with low HRQoL. Conclusions: There is a paucity of utility data and SSA-validated HRQoL instruments for CL/P. The existing instruments when applied, are done without formal cultural adaptation. This is likely to lead to ineffective application, and uninformed conclusions and decision making.

Indexed as

cleft lip and palatehealth-related quality of lifesub-Saharan Africautility measurement

Identifiers

PMID42699032
PMCPMC13542551

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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.