Evidence map›Paper›PMID 42371938›Full record

ArticlePloS one2026

Lived experience of depression in women living with Human Immunodeficiency Virus in Gondar City health facilities, Northwest, Ethiopia: A phenomenological study.

Tadele Amare Zeleke, Tadesse Awoke Ayele, Zewditu Abdissa Denu, Lillian Mwanri, Telake Azale

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Article in PloS one, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tadele Amare ZelekeDepartment of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.ORCID 0000-0001-5764-2985
Tadesse Awoke AyeleDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Zewditu Abdissa DenuDepartment of Anesthesia, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Lillian MwanriResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide Campus, Adelaide, South Australia.
Telake AzaleDepartment of Health Promotion and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany women living with HIV (WLHIV) in worldwide experience mental health conditions, particularly depression, which can negatively affect their overall wellbeing. Their lived experiences play a crucial WLHIV has been explored in various global context, there is limited research focusing on the specific women's lived experience of depression in Ethiopia. Understanding these experience is essential to inform the development of culturally appropriate and targeted mental health interventions and support system.

methodA qualitative phenomenological design was employed to explore women's lived experience of depression in Ethiopia. Criterion-based sampling was used, and recruitment continued until data saturation was achieved. Data were collected through in-depth face to face interviews with 16 participants attending health facilities. An inductive approach was used for analysis, with code derived from the data using Ritchie and Spencer's analytical framework. Subsequently, Interpretive Phenomenological Analysis was applied to identify key themes and subthemes. Data analysis was supported by MAXQDA (version 22) software.

resultsThis study identified key themes on women's lived experience of depression, including symptoms, meaning, perceived causes, perpetuating and relieving factors, treatment perceptions, coping strategies, and challenges. Depression affected emotional, physical and social well-being, and was shaped by factors such as HIV status, stigma, financial hardship, and lack of support. Women used diverse coping strategies, including spiritual practices, social support, and daily routines. Some preferred spiritual healing over professional care. Depression also negatively affected memory, motivation, self-care, and ART adherence, contributing to isolation, unemployment, and decline health.

conclusionDepression among WLHIV shaped by intersecting social, economic, and health related challenge. Addressing this requires the Ministry of Health to implement integrated, culturally sensitive mental health interventions and strengthen mental health awareness, combining psychosocial support, spiritual care, and improved access to professional services.

Indexed as

DepressionHIV InfectionsAdaptation, PsychologicalAdultEthiopiaFemaleHealth FacilitiesHumansMiddle AgedQualitative ResearchSocial StigmaSocial SupportYoung Adult

Identifiers

PMID42371938
PMCPMC13313325

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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.