Factors Associated with Time Intervals for Diagnosis of Colorectal Cancer: A Hospital Based Study in Khon Kaen, Thailand

Rittitit, Attapong; Promthet, Supannee; Suwanrungruang, Krittika; Jenwitheesuk, Kriangsak; Santong, Chalongpon; Vatanasapt, Patravoot

doi:10.31557/apjcp.2020.21.6.1835

Cited by 4 publications

(19 citation statements)

References 34 publications

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“…Four smaller studies [ 53 , 64 , 72 , 78 ] reported intervals greater than 350 days and appeared to be outliers ( Fig 4 ). Mukherji et al [ 53 ] was a single center study of 32 patients <25 years of age in India and reported a mean of 355.9 days from symptoms onset to presentation.…”

Section: Resultsmentioning

confidence: 99%

“…Foppa et al [ 78 ] reported mean time from symptoms onset to diagnosis of 416.7 days< for 101 Italian patients <40 years presenting to three tertiary centers. Finally, Rittitit et al [ 72 ] was a single-center study of 23 patients in Thailand and reported the longest interval of any study (median 442 days from symptom onset to diagnosis).…”

Section: Resultsmentioning

confidence: 99%

“…Individual study measures (means and medians) are presented in Fig 4. There was variability between studies with regards to intervals, particularly those that included time from symptom onset. Studies reported time from symptom onset to presentation ranging from less than 50 days [58,77] to greater than 350 days [53], and time from symptom onset to diagnosis ranging from approximately 50 days [42,66] to greater than 400 days [72] ( Fig 4). Four studies [28,50,52,77] examined the total interval (symptoms onset to treatment start).…”

Section: Interval Measuresmentioning

confidence: 99%

“…Finally, Rittitit et al[72] was a single-center study of 23 patients in Thailand and reported the longest interval of any study (median 442 days from symptom onset to diagnosis).…”

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confidence: 99%

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Time to diagnosis and treatment in younger adults with colorectal cancer: A systematic review

et al. 2022

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Background The incidence of colorectal cancer is rising in adults <50 years of age. As a primarily unscreened population, they may have clinically important delays to diagnosis and treatment. This study aimed to review the literature on delay intervals in patients <50 years with colorectal cancer (CRC), and explore associations between longer intervals and outcomes. Methods MEDLINE, Embase, and LILACS were searched until December 2, 2021. We included studies published after 1990 reporting any delay interval in adults <50 with CRC. Interval measures and associations with stage at presentation or survival were synthesized and described in a narrative fashion. Risk of bias was assessed using the Newcastle-Ottawa Scale, Institute of Health Economics Case Series Quality Appraisal Checklist, and the Aarhus Checklist for cancer delay studies. Results 55 studies representing 188,530 younger CRC patients were included. Most studies used primary data collection (64%), and 47% reported a single center. Sixteen unique intervals were measured. The most common interval was symptom onset to diagnosis (21 studies; N = 2,107). By sample size, diagnosis to treatment start was the most reported interval (12 studies; N = 170,463). Four studies examined symptoms onset to treatment start (total interval). The shortest was a mean of 99.5 days and the longest was a median of 217 days. There was substantial heterogeneity in the measurement of intervals, and quality of reporting. Higher-quality studies were more likely to use cancer registries, and be population-based. In four studies reporting the relationship between intervals and cancer stage or survival, there were no clear associations between longer intervals and adverse outcomes. Discussion Adults <50 with CRC may have intervals between symptom onset to treatment start greater than 6 months. Studies reporting intervals among younger patients are limited by inconsistent results and heterogeneous reporting. There is insufficient evidence to determine if longer intervals are associated with advanced stage or worse survival. Other This study’s protocol was registered with the Prospective Register of Systematic Reviews (PROSPERO; registration number CRD42020179707).

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Interval Measuresmentioning

confidence: 99%

“…Finally, Rittitit et al[72] was a single-center study of 23 patients in Thailand and reported the longest interval of any study (median 442 days from symptom onset to diagnosis).…”

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confidence: 99%

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Time to diagnosis and treatment in younger adults with colorectal cancer: A systematic review

et al. 2022

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“…The regression coe cients were described using the Geometric Mean Ratio (GMR (CI95%)), following a similar approach performed in another study [22]. This allows for the interpretation of results in a manner akin to measures of association in epidemiology.…”

Section: Types Of Analysis and Statistical Methods Usedmentioning

confidence: 99%

Predictors and components of inpatient asthma hospital cost: a retrospective cohort study. Analysis from a sample of 14 Belgian hospitals

Seret

Bruyneel

Larcin

et al. 2023

Preprint

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Background Addressing the challenges of asthma has involved various approaches, including the examination of costs associated with hospitalization. However, there is a limited number of studies that have investigated the actual expenses incurred by hospital settings in caring for asthma patients. This study aims to describe the costs, predictors, and breakdown of expenditures in different categories. Methods A retrospective cohort study was conducted, involving 314 hospital stays of patients over 12 years old who were admitted for asthma and classified under APR-DRG 141 (asthma). Univariate and multiple linear regression analyses were performed. Results The median cost, regardless of DRG severity, amounted to 2.314€ (1.550€-3.847€). Significant variations were observed when the sample was stratified based on the severity of DRG, revealing a cost gradient that increases with severity. The length of stay followed a similar trend. Six predictors were identified: age, admission to intensive care, asthma severity, severity level of the DRG, winter admission, and length of stay. The cost breakdown showed that 44% constituted direct costs, 25% were indirect costs, 26% were attributed to medical procedures performed outside the patient unit, and 5% were related to medication administration. Conclusions This study initiates a discussion on the role of reducing hospital costs in strategies aiming at controlling asthma-related costs. We argue that cost reduction cannot be achieved solely at the hospital level but must be approached from a public health perspective. This includes promoting high-quality outpatient care and addressing factors leading to poor adherence to the care plan.

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Predictors and components of inpatient asthma hospital cost: A retrospective cohort study. Analysis from a sample of 14 Belgian hospitals

Seret,

Bruyneel,

Larcin

et al. 2024

Journal of Public Health Research

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Background: Addressing the challenges of asthma has involved various approaches, including the examination of costs associated with hospitalization. However, there is a limited number of studies that have investigated the actual expenses incurred by hospital settings in caring for asthma patients. This study aims to describe the costs, predictors, and breakdown of expenditures in different categories. Design and methods: A retrospective cohort study was conducted, involving 314 hospital stays of patients over 12 years old who were admitted for asthma and classified under APR-DRG 141 (asthma). Univariate and multiple linear regression analyses were performed. Results: The median cost, regardless of DRG severity, amounted to 2.314€ (1.550€−3.847€). Significant variations were observed when the sample was stratified based on the severity of DRG, revealing a cost gradient that increases with severity. The length of stay followed a similar trend. Six predictors were identified: age, admission to intensive care, asthma severity, severity level of the DRG, winter admission, and length of stay. The cost breakdown showed that 44% constituted direct costs, 25% were indirect costs, 26% were attributed to medical procedures performed outside the patient unit, and 5% were related to medication administration. Conclusions: This study initiates a discussion on the role of reducing hospital costs in strategies aiming at controlling asthma-related costs. We argue that cost reduction cannot be achieved solely at the hospital level but must be approached from a public health perspective. This includes promoting high-quality outpatient care and addressing factors leading to poor adherence to the care plan.

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Factors Associated with Time Intervals for Diagnosis of Colorectal Cancer: A Hospital Based Study in Khon Kaen, Thailand

Cited by 4 publications

References 34 publications

Time to diagnosis and treatment in younger adults with colorectal cancer: A systematic review

Time to diagnosis and treatment in younger adults with colorectal cancer: A systematic review

Predictors and components of inpatient asthma hospital cost: a retrospective cohort study. Analysis from a sample of 14 Belgian hospitals

Predictors and components of inpatient asthma hospital cost: A retrospective cohort study. Analysis from a sample of 14 Belgian hospitals

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