Evidence map›Paper›PMID 39041027›Full record

ArticleResearch square2024

Cognitive interviewing to assess and adapt three measures of mental health symptoms among people living with HIV in Rakai, Uganda: the Thinking a Lot Questionnaire, the Patient Health Questionnaire 9 (PHQ-9), and the Hopkins Symptoms Checklist (HSCL).

Nora S West, Lydia P Namuganga, Dauda Isabirye, Rosette Nakubulwa, William Ddaaki, Neema Nakyanjo, Fred Nalugoda, Sarah M Murray, Caitlin E Kennedy

Abstract readPreprint
In one paragraph

Article in Research square, 2024. 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

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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

9 authors.

Nora S WestUniversity of California San Francisco.ORCID 0000-0001-8556-1744
Lydia P NamugangaJohns Hopkins University.
Dauda IsabiryeRakai Health Sciences Program.
Rosette NakubulwaRakai Health Sciences Program.
William DdaakiRakai Health Sciences Program.
Neema NakyanjoRakai Health Sciences Program.
Fred NalugodaRakai Health Sciences Program.
Sarah M MurrayJohns Hopkins Bloomberg School of Public Health.
Caitlin E KennedyJohns Hopkins Bloomberg School of Public Health.

Funding

Global Mental Health Training ProgramT32MH103210 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Judith Karen Bass, Sarah Sutherlin-McIvor Murray · 2015 to 2026
$4.0M
NIMH NIH HHS T32 MH103210
6 · The paper itself

Abstract

Mental health is conceptualized differently across cultures, making cross-cultural validation of screening tools critical. In Uganda, we used cognitive interviewing to assess and adapt three scales for measuring psychological distress: the Thinking a Lot Questionnaire, the Patient Health Questionnaire 9 (PHQ-9), and the Hopkins Symptoms Checklist (HSCL). We recruited 12 people living with HIV from the Rakai Community Cohort Study (RCCS) and interviewed seven potential users of the scales (four RCCS survey interviewers and three local health workers). Data were analyzed systematically using a team-based matrix approach. The HSCL was generally well understood, with minor clarifications needed. The Thinking a Lot Questionnaire was also well understood, though differences between "how much" and "how often" required specificity. Both included local idioms of distress from prior adaptations. The PHQ-9 performed less well, with many questions interpreted variably or showing unclear local applicability, especially among people living with HIV. For example, questions about trouble concentrating were misunderstood, focusing on examples like newspapers rather than the broader issue of concentration. Future research should explore the validity and utility of commonly used instruments as mental health research expands in Africa.

Indexed as

Cognitive interviewingCross-cultural validationHIV/AIDSMental health screening toolsPsychological distress

Identifiers

PMID39041027
PMCPMC11261958

What OpenQuestion holds

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Registered trials

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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.