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Factors Influencing Progressive Utilization of Palliative Care Services among Cancer Patients in Kenya: The Case of Nairobi Hospice

The rising cases of non-communicable diseases, specifically cancer, have led to the integration of palliative care in their management. However, only 10% of cancer patients have access to palliative care. Healthcare utilization is an important step in disease management as it aids individuals in acc...

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Autores principales: Kimani, Caroline Wambui, Kioko, Urbanus Mutuku, Ndinda, Catherine, Adebayo, Pauline Wambui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572499/
https://www.ncbi.nlm.nih.gov/pubmed/37835141
http://dx.doi.org/10.3390/ijerph20196871
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author Kimani, Caroline Wambui
Kioko, Urbanus Mutuku
Ndinda, Catherine
Adebayo, Pauline Wambui
author_facet Kimani, Caroline Wambui
Kioko, Urbanus Mutuku
Ndinda, Catherine
Adebayo, Pauline Wambui
author_sort Kimani, Caroline Wambui
collection PubMed
description The rising cases of non-communicable diseases, specifically cancer, have led to the integration of palliative care in their management. However, only 10% of cancer patients have access to palliative care. Healthcare utilization is an important step in disease management as it aids individuals in accessing opportunities for the prevention and treatment of diseases. The study applied the binary probit model to estimate the progressive utilization of palliative care services by cancer patients. The aim of the study was to determine factors influencing the progressive utilization of palliative care by cancer patients. A cross-sectional data survey was conducted for 169 cancer patients seeking palliative care at the Nairobi Hospice in 2013. For each patient, the predisposing, enabling, and need (PEN) factors were analyzed as key criteria for applying progressive utilization of palliative care at the Nairobi Hospice as compared to those residing in other counties in the study. Descriptive statistics showed that 27% of patients studied resided in Nairobi County, where 61% were female, 62% were married, 35% had primary education, 44% were self-employed, and 59% had medical insurance. Probit regression and marginal effects showed that employment and religion were significant in determining the progressive utilization of palliative care. Employment status and religion are consequently the main factors that both governments and health-focused non-governmental organizations need to consider increasing the probability of progressively utilizing palliative care to improve the quality of life of cancer patients.
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spelling pubmed-105724992023-10-14 Factors Influencing Progressive Utilization of Palliative Care Services among Cancer Patients in Kenya: The Case of Nairobi Hospice Kimani, Caroline Wambui Kioko, Urbanus Mutuku Ndinda, Catherine Adebayo, Pauline Wambui Int J Environ Res Public Health Article The rising cases of non-communicable diseases, specifically cancer, have led to the integration of palliative care in their management. However, only 10% of cancer patients have access to palliative care. Healthcare utilization is an important step in disease management as it aids individuals in accessing opportunities for the prevention and treatment of diseases. The study applied the binary probit model to estimate the progressive utilization of palliative care services by cancer patients. The aim of the study was to determine factors influencing the progressive utilization of palliative care by cancer patients. A cross-sectional data survey was conducted for 169 cancer patients seeking palliative care at the Nairobi Hospice in 2013. For each patient, the predisposing, enabling, and need (PEN) factors were analyzed as key criteria for applying progressive utilization of palliative care at the Nairobi Hospice as compared to those residing in other counties in the study. Descriptive statistics showed that 27% of patients studied resided in Nairobi County, where 61% were female, 62% were married, 35% had primary education, 44% were self-employed, and 59% had medical insurance. Probit regression and marginal effects showed that employment and religion were significant in determining the progressive utilization of palliative care. Employment status and religion are consequently the main factors that both governments and health-focused non-governmental organizations need to consider increasing the probability of progressively utilizing palliative care to improve the quality of life of cancer patients. MDPI 2023-10-02 /pmc/articles/PMC10572499/ /pubmed/37835141 http://dx.doi.org/10.3390/ijerph20196871 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kimani, Caroline Wambui
Kioko, Urbanus Mutuku
Ndinda, Catherine
Adebayo, Pauline Wambui
Factors Influencing Progressive Utilization of Palliative Care Services among Cancer Patients in Kenya: The Case of Nairobi Hospice
title Factors Influencing Progressive Utilization of Palliative Care Services among Cancer Patients in Kenya: The Case of Nairobi Hospice
title_full Factors Influencing Progressive Utilization of Palliative Care Services among Cancer Patients in Kenya: The Case of Nairobi Hospice
title_fullStr Factors Influencing Progressive Utilization of Palliative Care Services among Cancer Patients in Kenya: The Case of Nairobi Hospice
title_full_unstemmed Factors Influencing Progressive Utilization of Palliative Care Services among Cancer Patients in Kenya: The Case of Nairobi Hospice
title_short Factors Influencing Progressive Utilization of Palliative Care Services among Cancer Patients in Kenya: The Case of Nairobi Hospice
title_sort factors influencing progressive utilization of palliative care services among cancer patients in kenya: the case of nairobi hospice
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572499/
https://www.ncbi.nlm.nih.gov/pubmed/37835141
http://dx.doi.org/10.3390/ijerph20196871
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