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Catastrophic Illness

Catastrophic Illness: A broad term encompassing severe, life-threatening medical conditions that often require intensive care and long-term management.
These illnesses can have devastating impacts on individuals, families, and communities, and can be difficult to prevent or treat effectively.
PubCompare.ai revolutionizes research in this critical area by leveraging AI-driven comparisons to identify the best protocols and products from the literature, preprints, and patents.
This cutting-edge tool optimizes research, enhances reproducibility, and helps advance the understanding and treatment of catastophic illnesses.

Most cited protocols related to «Catastrophic Illness»

In this study, we identified 854 pancreatic cancer patients who were admitted and died in-hospital between January 2003 and December 2006. Pancreatic cancer was defined using an ICD-9-CM compatible code (157) from the Registry for Catastrophic Illness Patient database, which is a separate subsection of the NHI database. Most patients who are diagnosed with cancer sign up for a Catastrophic Illness Card in Taiwan, and these cardholders are exempt from cost-sharing under the NHI program. The effects of comorbidities were estimated using the Charlson comorbidity index [14 (link)]. Propensity score matching was performed to minimize the potential influence of selection bias, whereby logistic regression was used to create a propensity score for the inpatient palliative care and acute hospital care groups [15 (link)]. The covariates that we examined included patient characteristics (age and sex), Charlson comorbidity index, hospital location, and hospital accreditation level. One-to-one matching was subsequently performed for the two patients groups, using the nearest-neighbor matching method.
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Publication 2016
Catastrophic Illness Inpatient Malignant Neoplasms Palliative Care Pancreatic Cancer Patients
A retrospective fixed cohort population was used as the original study population. Every claimant of the NHI Program at any time during 2005 was included in the population (22,717,053 people) selected for random sampling. Using a random number generator to produce 1,073,891 random numbers, the original claims data of 1,000,000 randomly-sampled beneficiaries from the year 2005 was the original study population of the present study. The majority of the sample population of 1,000,000 subjects were aged from 20 to 65 years, and the male and female subpopulations were of a similar size (49.6% vs. 50.4%, respectively). There were no significant differences in the gender distribution, age distribution or average insured payroll-related amount between the claimants in the 2005 sampled data and the original NHIRD [7 (link),8 (link)]. The registration and claims data of these 1,000,000 individuals collected by the NHI Program could be followed until 2008. In 2008, all the subjects aged 65 years or older were selected from the original study population to be the sampled population for a further analysis.
If a patient’s ailment is diagnosed by a physician as a “catastrophic illness” under Department of Health guidelines, the patient can submit related information and apply for a catastrophic illness certificate. The application will be formally reviewed, and if approved, the information is entered into his or her IC card [10 ]. Therefore, the 2008 registered catastrophic illness dataset of Taiwan (including 30 categories, presented in the result section) was used to verify the target cases from the sampled population.
Moreover, emergency cases served by the NHI system are recorded within the dataset of “ambulatory care expenditure by visit”, and all cases classified as a “medical emergency” could be identified. Finally, to study the difference in ED utilization between Taiwan’s elderly with a catastrophic illness and those without, subjects aged 65 years or older in 2008 were selected and their medical records regarding ambulatory services in 2008 were analyzed.
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Publication 2013
Care, Ambulatory Catastrophic Illness Emergencies Males Patients Physicians Target Population Woman
In 1996, the Taiwan government organized a national-wide and single-payer health insurance program called the “Taiwan National Health Insurance Program” (Taiwan NHIP). Since 1998, the NHIP had covered >99% of the 23 million Taiwanese.[13 ] Consequently, the National Health Research Institutes (NHRI) established the National Health Insurance Research Database (NHIRD) composed of the annual reimbursement claims data from the NHIP.
The present study used the Longitudinal Health Insurance Database (LHID), a subset of NHIRD, to construct the study population. The LHID contained the annual reimbursement claims data from 1 million insured people randomly selected in 1996 to 2000. Based on the NHRI report, the distribution of age and sex ratios between LHID and NHIRD was not different. The NHRI provided a scrambled and anonymous identification number for each insured person to link each claim data, including registry for beneficiaries, out-patient and in-patient visits, and other medical services records. The Institutional Review Board of China Medical University in central Taiwan exempted this study from the informed consent requirement (CMU-REC-101-012).
The disease record in NHIRD was defined by the disease according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). Cancer diagnosis database was collected from the catastrophic illness registry and the history of other diseases was gathered from in-patient and out-patient files. The Registry of Catastrophic Illness Database is a subpart of the NHIRD. In Taiwan, insured people with major diseases can apply for a catastrophic illness certificate that grants exemption from copayment. The issuance of catastrophic illness certificates was validated by at least 2 specialists, based on careful evaluation of the medical records, laboratory studies, and imaging studies. Individuals would be issued a catastrophic illness certificate when they meet the diagnostic criteria for major diseases. Cancers, cirrhosis with esophageal varices bleeding, uremia on hemodialysis, and organ failure are statutorily included in the catastrophic illness category.
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Publication 2016
Catastrophic Illness Diagnosis Esophageal Varices Ethics Committees, Research Health Insurance Hemodialysis Liver Cirrhosis Malignant Neoplasms National Health Insurance National Health Programs Outpatients Patients Specialists Uremia Wellness Programs
Among all ambulatory visit records in 2002, we calculated only those visits with physician consultations of western medicine, dentistry, and traditional Chinese medicine, including visits to emergency departments. We used the consultation fee to differentiate between a visit with physician consultation and visits merely for radiology, laboratory examinations, physical rehabilitation, or other ancillary services. Prescription refills, home care by nurses, and preventive services without physician consultation would also be excluded from analysis.
We at first analyzed the utilization patterns of ambulatory care visits at different specialties and at different types of healthcare facilities. The statistics were displayed both in numbers of visits and in numbers of patients. Within the NHI, 24 specialties and 22 subspecialties were recognized. In general, the subspecialties existed only at hospitals. We grouped the family physicians and those practitioners without any specialist title into general practice; otherwise, a subspecialty was deemed different from its main specialty. A healthcare facility with physician services was contracted with the NHI in one of 4 categories: academic medical center, metropolitan hospital, local community hospital, and physician clinic. Besides, we also calculated the distribution of principal diagnoses at all visits by ICD-9-CM chapter.
For person-based analyses, we calculated the numbers of visits, consulted specialties, physicians and healthcare facilities by each person during 2002. Their distributions of frequencies would be displayed. We also calculated the age-sex distribution in each group of patients by annual visit count.
The patients with catastrophic illness and the visits due to catastrophic illness would be separately identified and integrated into the analysis.
To investigate how frequently a patient might change physicians and healthcare facilities, we calculated the numbers of consultations in which the patient had visited other healthcare facilities on the same day, in the past 3 days, and in the past 7 days, respectively. We also calculated the numbers of patients with such help-seeking behaviors during the year. Furthermore, we calculated the numbers of consultations in which the patient had visited the same specialty at other healthcare facilities within the same time frames. Finally, we would try to quantify the "one-stop shopping" phenomenon, in which a patient might visit several specialties at the same hospital in a day.
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Publication 2006
Age Groups Care, Ambulatory Catastrophic Illness Diagnosis Patients Pharmaceutical Preparations Physical Examination Physicians Physicians, Family Reading Frames Rehabilitation Visiting Nurses X-Rays, Diagnostic
Taiwan National Health Insurance (Taiwan NHI) is a nationwide, single-payer health insurance program that is compulsory for all citizens. Taiwan NHI was established in 1995, and 99% of Taiwan's 23 million citizens were covered in 1998. The Taiwanese government ordered the National Health Research Institutes (NHRI) to construct and manage the National Health Insurance Research Database (NHIRD). The NHIRD handles all of the claims data of Taiwan NHI, including the registry for beneficiaries, ambulatory and inpatient care, prescription records, and other medical services. The NHRI renews the database annually. To protect the confidentiality of the insured subjects, the NHRI removed the original identification number and published the database with an encoded identification number to link each medical service file. This study was approved by the Institutional Review Board of China Medical University in central Taiwan (CMU104-REC2–115).
The disease diagnosis record system in the NHIRD is categorized according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). The cancer history of each patient was collected from a catastrophic illness patient registry, a subcomponent of the NHIRD. PLA- and PLC-associated comorbidity data were collected from inpatient files.
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Publication 2017
Catastrophic Illness Compulsive Behavior Diagnosis Ethics Committees, Research Health Insurance Hospitalization Inpatient Malignant Neoplasms National Health Insurance Patients

Most recents protocols related to «Catastrophic Illness»

The outcome of interest in this study was newly diagnosed autoimmune diseases after the index dates. In Taiwan, people with several autoimmune diseases can apply for catastrophic illness certification to receive a copayment exemption from the NHI program, and all the applications are reviewed by rheumatologists. These autoimmune diseases, including SLE, systemic sclerosis, Sjögren’s syndrome, inflammatory myopathy, rheumatoid arthritis, Behcet’s syndrome, systemic vasculitis, type I diabetes mellitus, multiple sclerosis, myasthenia gravis, inflammatory bowel diseases, autoimmune hemolytic anemia, and pemphigus, were identified from the Registry for Catastrophic Illness, and thus the diagnoses should be valid. For autoimmune diseases that did not fulfill the requirements to be considered catastrophic illnesses in Taiwan, including ankylosing spondylitis, post-infectious arthritis, uveitis, psoriasis, autoimmune thyroid disease, primary adrenocortical insufficiency, Guillain–Barré syndrome, autoimmune encephalomyelitis, and celiac disease, one hospital admission or at least three outpatient visits with relevant ICD-9-CM or ICD-10-CM codes were regarded as the confirmed diagnosis (S1 Table). The follow-up of study participants started on the index dates and continued until the confirmation of study outcomes, death, or August 31, 2018, whichever occurred first.
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Publication 2023
Addison Disease Anemia, Autoimmune Hemolytic Ankylosing Spondylitis Arthritis, Reactive Autoimmune Diseases Behcet Syndrome Catastrophic Illness Celiac Disease Diabetes Mellitus, Insulin-Dependent Diagnosis Experimental Autoimmune Encephalomyelitis Guillain-Barre Syndrome Inflammatory Bowel Diseases Multiple Sclerosis Myasthenia Gravis Myositis Outpatients Pemphigus Psoriasis Rheumatoid Arthritis Rheumatologist Sjogren's Syndrome Systemic Scleroderma Thyroid Diseases Thyroid Gland Uveitis
Head and neck cancer cases between 1980 and 2019 were obtained from the national Taiwan Cancer Registration (TCR) database (https://twcr.tw/). The Taiwan Cancer Registration (TCR) database has collected newly diagnosed cancer cases from hospitals with 50 or more beds in Taiwan since 1979 [9 (link), 10 (link)]. In addition, the completeness of the TCR, the percentage of cases with death certificates, and the percentage of morphological verification in 2016 were respectively 98.4, 0.9, and 93%, while the completeness was measured by all registered cancer cases divided by all potential cancer cases from profiles of death certificate, NHI catastrophic illnesses, and four major cancer screening programs [9 (link)]. All cases in this analysis were classified based on the International Classification of Diseases for Oncology, third edition (ICD-O-03) [11 ]. Head and neck cancer cases were categorized into oral cancer (C00, C02, C03, C04, C050, C058, C059, and C06, excluding C024), oropharyngeal cancer (C01, C024, C051, C052, C09, C10, C142, and C148), hypopharyngeal cancer (C12, C13, and C140), and laryngeal cancer (C32).
Based on the 2000 World Health Organization standard population, the age-adjusted incidence rate in men from 1980 to 2019 was only analyzed due to the low incidence in women in Taiwan. For the analysis of long-term trends, the age-specific incidence rate from 1980 to 2019 was calculated for specific age groups, time periods, and birth cohorts. The age-specific incidence rate was classified into eighteen 5-year age groups (0–4, 5–9, 10–14, 15–19, 20–24, 25–29, 30–34, 35–39, 40–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, 80–84, and 85+) and eight 5-year time periods (1980–1984, 1985–1989, 1990–1994, 1995–1999, 2000–2004, 2005–2009, 2010–2014, and 2015–2019). In addition, the birth cohort was divided into eleven birth groups (1930–1934, 1935–1939, 1940–1944, 1945–1949, 1950–1954, 1955–1959, 1960–1964, 1965–1969, 1970–1974, 1975–1979, and 1980–1984) and twelve 5-year age groups (30–34, 35–39, 40–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, 80–84, and 85+). Moreover, to describe the linear change in the age-adjusted incidence rate from 1980 to 2019, a join point regression model was utilized to detect the change point and calculate the average annual percent change (AAPC) and annual percent change (APC) [10 (link)]. In addition, the 95% confidence intervals of the average annual percent change (AAPC) and annual percent change (APC) were analyzed. 95% confidence interval indicated 95% would fall between the upper limit and the lower limit, while 95% confidence interval including 0 showed statistically nonsignificant. The research protocol was approved by the Institutional Review Board of Fu-Jen Catholic University (No. C104014).
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Publication 2023
Age Groups Birth Cohort Cancer of Head and Neck Cancer of Mouth Catastrophic Illness Childbirth Ethics Committees, Research Hypopharyngeal Cancer Laryngeal Cancer Malignant Neoplasms Neoplasms Oropharyngeal Cancer Roman Catholics Woman
In this retrospective cohort study, we analyzed database obtained from the Registry for Catastrophic Illness Patients (CIPR), which consists of disease categories including ESRD, with verifying chronic dialysis and the irreversible status by two nephrologists. The data represented a subset of the National Health Insurance Research Database (NHIRD) covering a period from 1 January 2000, to 31 December 2016 (National Science Council—Taiwan, RRID: SCR_011434). The NHIRD, with comprehensive records of claims relating to outpatient and inpatient medical care, enrolled data from 23 million Taiwanese people as in 2015 [16 ,17 ]. The RCID comprises information on the registry of beneficiaries, diagnostic codes, medical procedures, and prescription data. All data extracted from the NHIRD were deidentified to protect privacy.
Definitions of diseases are based on the International Classification of Diseases, 9th Revision, Clinical Modification for cases diagnosed before 1 January 2016 and the International Classification of Diseases, 10th Revision, Clinical Modification for cases diagnosed afterwards. The list of ICD-9 and ICD-10 codes were used to define the inclusion criteria for patients on dialysis, outcome events, and comorbidities as shown in Supplemental File S1: Table S1.
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Publication 2023
Catastrophic Illness Dialysis Hospitalization Kidney Failure, Chronic National Health Insurance Nephrologists Outpatients Patients
Both the cohorts were followed up from the index date to the date of migraine onset, withdrawal from the NHI program, or the end of follow-up. For outcome measurement, migraine was defined using the ICD-9-CM diagnostic code 346 and the ICD-10-CM diagnostic code G43. Patients who received a diagnosis of migraine from a neurologist or an otolaryngologist were enrolled into this study. The cumulative incidence of migraine was estimated according to the TBI status using the Kaplan–Meier method, and differences between the cumulative incidence rates were compared using a log-rank test. Moreover, Cox proportional hazards models were used to compute the crude and adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for migraine between the TBI and non-TBI groups and between different TBI subgroups. Injury severity scores (ISS) [32 (link),33 (link)] were used to assess the severity of injury and to predict mortality, morbidity, and length of hospital stay. The ISS ranges from 1 to 75. As per the NHI program in Taiwan, ISS ≥ 16 denotes the presence of major trauma and a catastrophic illness. Patients with any defined catastrophic illness can benefit from copayment exemptions.
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Publication 2023
Catastrophic Illness Diagnosis Injuries Migraine Disorders Neurologists Otolaryngologist Patients Wounds and Injuries
From March 1995 till now, the Taiwan national health insurance (NHI) program has covered 99.6% of residents. All medical records reimbursed by the NHI were included in the NHIRD, in which the registry of beneficiaries, ambulatory and inpatient care claims data, and the registry of catastrophic illness were the source of the database. In the study, study subjects were recruited from the ambulatory and inpatient claims data liked with the registry of Catastrophic Illness during 2000 to 2010 and followed to the end of 2011.
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Publication 2023
Catastrophic Illness Hospitalization Inpatient National Health Insurance National Health Programs

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More about "Catastrophic Illness"

Catastrophic illness, severe medical conditions, life-threatening diseases, intensive care, long-term management, devastating impacts, prevention, treatment, PubCompare.ai, AI-driven comparisons, research optimization, reproducibility, SAS 9.4, PowerBead tubes, SPSS Statistics 22, SAS software.
Catastrophic illnesses are severe, often life-threatening medical conditions that require intensive care and long-term management.
These illnesses can have devastating impacts on individuals, families, and communities, and can be challenging to prevent or treat effectively.
However, innovative tools like PubCompare.ai are revolutionizing research in this critical area by leveraging AI-driven comparisons to identify the best protocols and products from the literature, preprints, and patents.
This cutting-edge tool helps optimize research, enhance reproducibility, and advance the understanding and treatment of catastrophic illnesses.
PubCompare.ai utilizes powerful analytics, including SAS version 9.4 and SPSS Statistics version 22, to process data from a wide range of sources, including scientific publications and patent filings.
The system also integrates with SAS software and PowerBead tubes to streamline data collection and analysis.
By harnessing the power of AI and advanced statistical tools, PubCompare.ai enables researchers to navigate the complex landscape of catastrophic illness research more efficiently, leading to improved outcomes for patients and communities affected by these devastating conditions.