Evidence map›Paper›PMID 42633416›Full record

ArticleNeuropsychiatric disease and treatment2026

Prevalence of Anxiety and Depression Among Patients in a Palliative Care Setting During the COVID-19 Pandemic: A Mixed-Methods Cross-Sectional Study.

Doreen Birungi Agasha, Germanus Natuhwera, Eve Namisango, Hanif Kasozi, Elizabeth Mbabazi, Stanley Wilson Acuda

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Article in Neuropsychiatric disease and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers 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

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Doreen Birungi Agasha *Administration and Clinical Departments, Hospice Africa Uganda, Kampala, Uganda.
Germanus Natuhwera *Clinical Department, Hospice Africa Uganda, Kampala, Uganda.ORCID 0000-0003-4474-4063
Eve NamisangoResearch and Programmes Department, African Palliative Care Association, Kampala, Uganda.
Hanif KasoziMonitoring and Evaluation Department, Hospice Africa Uganda, Kampala, Uganda.
Elizabeth MbabaziClinical Department, Hospice Africa Uganda, Kampala, Uganda.
Stanley Wilson AcudaEducation Department, Institute of Hospice and Palliative Care in Africa, Hospice Africa Uganda, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 is a new disease with high transmission and mortality rates and can cause or exacerbate a myriad of psychological sequelae, particularly in patients with underlying serious illness. Palliative care patients' experiences have been widely studied, but research on their experiences during COVID-19 pandemic is scanty. Aim: To determine the prevalence of and factors associated with anxiety and depression among palliative care patients and explore palliative care patients' experiences during the COVID-19 pandemic. Materials and Methods: This cross-sectional mixed-methods study used the Hospital Anxiety and Depression Scale (HADS) and face-to-face audio-recorded interviews to collect data from participants between April and May, 2022. Quantitative data were analysed using STATA v.17. Chi-square test and multivariate logistic regression were performed to examine factors associated with depression and anxiety. Qualitative data were analysed using thematic analysis. Results: Of the 96 participants, 74% (n=71) were female. Patients who earned ≥100,000 Ugandan shillings (OR=0.18, p=0.026, CI 0.040-0.818) had lower odds of depression compared to patients who earned less, while patients who missed clinic appointment sometimes (OR=26.02, P=0.025, CI 1.503-450.226) and those who reported change in sleep pattern (OR=15.91, p=001, CI 3.030-83.567) had higher odds of depression. Male participants had lower odds of anxiety (OR=7.93, p=0.003, CI 2.004-31.370) while those who missed medicines very often (OR=6.79, p=0.024, CI 1.288-35.852) and those who reported change in sleep pattern (OR=10.21, p=0.000, CI 2.790-37.393) showed higher odds of anxiety. Three main themes emerged from the qualitative interviews: (1) Navigating multidimensional suffering before and during a pandemic, (2) the healthcare system as a precipitant of suffering, and (3) finding hope and meaning amidst uncertainty and suffering. Conclusion: Mental health morbidities were great in this cohort, occurring in a multifaceted manner, with disruptions to the psychological, social, financial, and physical dimensions of patients' quality of life. Palliative care continuity and mental health, psychosocial and spiritual support services should be integrated into humanitarian emergency health care package in future outbreaks.

Indexed as

anxietyCOVID-19 pandemicdepressionlife-limiting illnesspalliative careUganda

Identifiers

PMID42633416
PMCPMC13499549

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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.