“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:	Antonio D. Ligsay, Maurice Lee B. Santos, Epifania S. Simbul, Kristan Jela M. Tambio, Michelle Joyce M. Aytona, Grecebio Jonathan D. Alejandro, Richard Edward L. Paul, Zypher Jude G. Regencia, Emmanuel S. Baja
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	delay to care dengue healthcare service delivery Philippines three-delay model Medicine R
Acceso en línea:	https://doaj.org/article/c7ea88a2cbb84d82a3f1b0ad955e8852
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spelling	oai:doaj.org-article:c7ea88a2cbb84d82a3f1b0ad955e88522021-11-25T17:48:56Z“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 Study10.3390/ijerph1822118511660-46011661-7827https://doaj.org/article/c7ea88a2cbb84d82a3f1b0ad955e88522021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/11851https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Identification 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.Antonio D. LigsayMaurice Lee B. SantosEpifania S. SimbulKristan Jela M. TambioMichelle Joyce M. AytonaGrecebio Jonathan D. AlejandroRichard Edward L. PaulZypher Jude G. RegenciaEmmanuel S. BajaMDPI AGarticledelay to caredenguehealthcare service deliveryPhilippinesthree-delay modelMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11851, p 11851 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	delay to care dengue healthcare service delivery Philippines three-delay model Medicine R
spellingShingle	delay to care dengue healthcare service delivery Philippines three-delay model Medicine R Antonio D. Ligsay Maurice Lee B. Santos Epifania S. Simbul Kristan Jela M. Tambio Michelle Joyce M. Aytona Grecebio Jonathan D. Alejandro Richard Edward L. Paul Zypher Jude G. Regencia Emmanuel S. Baja “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
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.
format	article
author	Antonio D. Ligsay Maurice Lee B. Santos Epifania S. Simbul Kristan Jela M. Tambio Michelle Joyce M. Aytona Grecebio Jonathan D. Alejandro Richard Edward L. Paul Zypher Jude G. Regencia Emmanuel S. Baja
author_facet	Antonio D. Ligsay Maurice Lee B. Santos Epifania S. Simbul Kristan Jela M. Tambio Michelle Joyce M. Aytona Grecebio Jonathan D. Alejandro Richard Edward L. Paul Zypher Jude G. Regencia Emmanuel S. Baja
author_sort	Antonio D. Ligsay
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_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_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_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
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c7ea88a2cbb84d82a3f1b0ad955e8852
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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

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