Modeling antiretroviral therapy adherence among people living with HIV: a cross-sectional study at Pantang Hospital, Ghana

Eric Nyarko, Irene A. Kretchy, Grace Lovia Allotey-Babington, Adwoa Oforiwaa Kwakye, Benjamin Tagoe, Nathaniel Opoku Atuahene, Xoese Kalenu, Augustina Koduah, Sheila Gyasi Nimako, Kwabena FM Opuni, Seth Kwabena Amponsah · 2026

Read Modeling antiretroviral therapy adherence among people living with HIV: a cross-sectional study at Pantang Hospital, Ghana by Eric Nyarko, Irene A. Kretchy, Grace Lovia Allotey-Babington, Adwoa Oforiwaa Kwakye, Benjamin Tagoe, Nathaniel Opoku Atuahene, Xoese Kalenu, Augustina Koduah, Sheila Gyasi Nimako, Kwabena FM Opuni, Seth Kwabena Amponsah (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13602475.txt.

Description

Eric Nyarko and colleagues model HIV treatment adherence at Pantang Hospital in Accra, Ghana, in a 2026 study. Antiretroviral therapy only works when people take it steadily, and missed doses remain a major barrier in sub-Saharan Africa. Between July and October 2025, the team surveyed 151 randomly sampled patients receiving HIV care at the hospital, asking about daily habits around their medication. They then trained six machine learning models to rank what predicts poor adherence.

Participants had a median age of 42, and three quarters were women. Slips were common: 66.9 percent forgot doses, 64.2 percent admitted carelessness, and 85.4 percent stopped when they felt worse. An Elastic Net model performed best overall. The strongest warning signs were skipping medication over the past weekend and missing doses six to ten times in the past week. These concrete habits, the authors argue, give clinics practical targets for adherence support, which should also cut community transmission risk.

Catalog record

CREATOREric Nyarko, Irene A. Kretchy, Grace Lovia Allotey-Babington, Adwoa Oforiwaa Kwakye, Benjamin Tagoe, Nathaniel Opoku Atuahene, Xoese Kalenu, Augustina Koduah, Sheila Gyasi Nimako, Kwabena FM Opuni, Seth Kwabena Amponsah
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE35195
LICENSEhttps://creativecommons.org/licenses/by/4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/article/MED/PMC13602475

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