1. '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
- Author
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Richard Paul, Zypher Jude G. Regencia, Epifania S. Simbul, Antonio D. Ligsay, Michelle Joyce M. Aytona, Kristan Jela M. Tambio, Maurice Lee B. Santos, Grecebio Jonathan D. Alejandro, Emmanuel S. Baja, University of Santo Tomas [Manila, Philippines], National Children’s Hospital [New Manila, Philippines], Génétique fonctionnelle des maladies infectieuses - Functional Genetics of Infectious Diseases, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), and University of the Philippines (UP System)
- Subjects
medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Health, Toxicology and Mutagenesis ,Philippines ,Psychological intervention ,MESH: Delivery of Health Care ,MESH: Dengue ,Article ,Dengue fever ,Tertiary Care Centers ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,MESH: Child ,medicine ,Humans ,MESH: COVID-19 ,three-delay model ,MESH: SARS-CoV-2 ,Child ,Service (business) ,MESH: Tertiary Care Centers ,[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases ,MESH: Humans ,business.industry ,SARS-CoV-2 ,Public Health, Environmental and Occupational Health ,COVID-19 ,medicine.disease ,dengue ,delay to care ,Identification (information) ,healthcare service delivery ,Family medicine ,Survey data collection ,Medicine ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Thematic analysis ,Healthcare service ,business ,Delivery of Health Care - Abstract
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.
- Published
- 2021
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