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“We Tried to Borrow Money, but No One Helped.” Assessing the Three-Delay Model Factors Affecting the Healthcare Service Delivery among Dengue Patients during COVID-19 Surge in a Public Tertiary Hospital: A Convergent Parallel Mixed Methods Study

Identification of delay barriers to care is essential for an effective and efficient healthcare service delivery. In this study, we described the delay in care among parents of the patients seeking treatment for dengue. We also examined the factors affecting the severity of dengue (dengue with warni...

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Autores principales: Ligsay, Antonio D., Santos, Maurice Lee B., Simbul, Epifania S., Tambio, Kristan Jela M., Aytona, Michelle Joyce M., Alejandro, Grecebio Jonathan D., Paul, Richard Edward L., Regencia, Zypher Jude G., Baja, Emmanuel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621089/
https://www.ncbi.nlm.nih.gov/pubmed/34831607
http://dx.doi.org/10.3390/ijerph182211851
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author Ligsay, Antonio D.
Santos, Maurice Lee B.
Simbul, Epifania S.
Tambio, Kristan Jela M.
Aytona, Michelle Joyce M.
Alejandro, Grecebio Jonathan D.
Paul, Richard Edward L.
Regencia, Zypher Jude G.
Baja, Emmanuel S.
author_facet Ligsay, Antonio D.
Santos, Maurice Lee B.
Simbul, Epifania S.
Tambio, Kristan Jela M.
Aytona, Michelle Joyce M.
Alejandro, Grecebio Jonathan D.
Paul, Richard Edward L.
Regencia, Zypher Jude G.
Baja, Emmanuel S.
author_sort Ligsay, Antonio D.
collection PubMed
description Identification of delay barriers to care is essential for an effective and efficient healthcare service delivery. In this study, we described the delay in care among parents of the patients seeking treatment for dengue. We also examined the factors affecting the severity of dengue (dengue with warning signs; severe dengue). A convergent parallel design mixed-method approach using Key Informant Interviews (KII) and a survey guided by the Three-Delay Model were conducted among 24 respondents at the National Children’s Hospital (NCH). Coding and thematic analysis using NVIVO and bivariable generalized linear models with a Poisson distribution and robust variance were utilized to analyze the KII transcripts and survey data, respectively. Results showed that financial constraints and previous dengue infection (first delay), mode of transportation, traffic density, and location (second delay), and hospital capacity (third delay) influenced the overall delay uncertainty in seeking care treatment for dengue infection. Furthermore, our bivariable analysis showed that travel time to NCH and place of residency, service given from previous health facilities, and parents’ educational background were associated and played a role in the severity of dengue infection. Interventions focused on the identified factors contributing to delayed care should be made to avoid unwanted clinical outcomes.
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spelling pubmed-86210892021-11-27 “We Tried to Borrow Money, but No One Helped.” Assessing the Three-Delay Model Factors Affecting the Healthcare Service Delivery among Dengue Patients during COVID-19 Surge in a Public Tertiary Hospital: A Convergent Parallel Mixed Methods Study Ligsay, Antonio D. Santos, Maurice Lee B. Simbul, Epifania S. Tambio, Kristan Jela M. Aytona, Michelle Joyce M. Alejandro, Grecebio Jonathan D. Paul, Richard Edward L. Regencia, Zypher Jude G. Baja, Emmanuel S. Int J Environ Res Public Health Article Identification of delay barriers to care is essential for an effective and efficient healthcare service delivery. In this study, we described the delay in care among parents of the patients seeking treatment for dengue. We also examined the factors affecting the severity of dengue (dengue with warning signs; severe dengue). A convergent parallel design mixed-method approach using Key Informant Interviews (KII) and a survey guided by the Three-Delay Model were conducted among 24 respondents at the National Children’s Hospital (NCH). Coding and thematic analysis using NVIVO and bivariable generalized linear models with a Poisson distribution and robust variance were utilized to analyze the KII transcripts and survey data, respectively. Results showed that financial constraints and previous dengue infection (first delay), mode of transportation, traffic density, and location (second delay), and hospital capacity (third delay) influenced the overall delay uncertainty in seeking care treatment for dengue infection. Furthermore, our bivariable analysis showed that travel time to NCH and place of residency, service given from previous health facilities, and parents’ educational background were associated and played a role in the severity of dengue infection. Interventions focused on the identified factors contributing to delayed care should be made to avoid unwanted clinical outcomes. MDPI 2021-11-12 /pmc/articles/PMC8621089/ /pubmed/34831607 http://dx.doi.org/10.3390/ijerph182211851 Text en © 2021 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
Ligsay, Antonio D.
Santos, Maurice Lee B.
Simbul, Epifania S.
Tambio, Kristan Jela M.
Aytona, Michelle Joyce M.
Alejandro, Grecebio Jonathan D.
Paul, Richard Edward L.
Regencia, Zypher Jude G.
Baja, Emmanuel S.
“We Tried to Borrow Money, but No One Helped.” Assessing the Three-Delay Model Factors Affecting the Healthcare Service Delivery among Dengue Patients during COVID-19 Surge in a Public Tertiary Hospital: A Convergent Parallel Mixed Methods Study
title “We Tried to Borrow Money, but No One Helped.” Assessing the Three-Delay Model Factors Affecting the Healthcare Service Delivery among Dengue Patients during COVID-19 Surge in a Public Tertiary Hospital: A Convergent Parallel Mixed Methods Study
title_full “We Tried to Borrow Money, but No One Helped.” Assessing the Three-Delay Model Factors Affecting the Healthcare Service Delivery among Dengue Patients during COVID-19 Surge in a Public Tertiary Hospital: A Convergent Parallel Mixed Methods Study
title_fullStr “We Tried to Borrow Money, but No One Helped.” Assessing the Three-Delay Model Factors Affecting the Healthcare Service Delivery among Dengue Patients during COVID-19 Surge in a Public Tertiary Hospital: A Convergent Parallel Mixed Methods Study
title_full_unstemmed “We Tried to Borrow Money, but No One Helped.” Assessing the Three-Delay Model Factors Affecting the Healthcare Service Delivery among Dengue Patients during COVID-19 Surge in a Public Tertiary Hospital: A Convergent Parallel Mixed Methods Study
title_short “We Tried to Borrow Money, but No One Helped.” Assessing the Three-Delay Model Factors Affecting the Healthcare Service Delivery among Dengue Patients during COVID-19 Surge in a Public Tertiary Hospital: A Convergent Parallel Mixed Methods Study
title_sort “we tried to borrow money, but no one helped.” assessing the three-delay model factors affecting the healthcare service delivery among dengue patients during covid-19 surge in a public tertiary hospital: a convergent parallel mixed methods study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621089/
https://www.ncbi.nlm.nih.gov/pubmed/34831607
http://dx.doi.org/10.3390/ijerph182211851
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