| Literature DB >> 33849615 |
Xuefeng Li1,2,3,4, Xiangyu Zhang5, Shu Zhang6, Zijuan Lu7, Jianyong Zhang8, Jincheng Zhou9, Bingzhe Li10, Li Ou11.
Abstract
BACKGROUND: It is estimated that there are over 16.8 million rare disease patients in China, representing a significant challenge for the healthcare system and society. Rare disease patients often experience delayed diagnosis, misdiagnosis, or improper treatment, which may be due to the lack of rare disease awareness among physicians.Entities:
Keywords: Diagnosis; Physicians; Questionnaire; Rare disease
Mesh:
Year: 2021 PMID: 33849615 PMCID: PMC8042908 DOI: 10.1186/s13023-021-01788-3
Source DB: PubMed Journal: Orphanet J Rare Dis ISSN: 1750-1172 Impact factor: 4.123
Demographic information of participants of the questionnaire for physicians
| Gender | Male (n = 104, 46.4%) |
|---|---|
| Female (n = 120, 53.6%) | |
| Age (years) | < 30 (n = 34, 15.2%) |
| 30–45 (n = 132, 58.9%) | |
| 46–60 (n = 52, 23.2%) | |
| > 60 (n = 6, 2.7%) | |
| Hospital | Tertiary A (n = 163, 72.8%) |
| Tertiary B (n = 16, 7.1%) | |
| Tertiary C (n = 8, 3.6%) | |
| Secondary A (n = 22, 9.8%) | |
| Secondary B (n = 1, 0.4%) | |
| Primary A (n = 4, 1.8%) | |
| Primary B (n = 4, 1.8%) | |
| Career length (years) | < 5 (n = 49, 22.1%) |
| 5–15 (n = 81, 36.5%) | |
| 16–30 (n = 71, 32.0%) | |
| > 30 (n = 21, 9.5%) | |
| Specialty | Pediatrics (n = 13, 6.3%) |
| Radiology (n = 22, 10.6%) | |
| Surgery (n = 18, 8.7%) | |
| Orthopedics (n = 10, 4.8%) | |
| Internal Medicine (n = 10, 4.8%) | |
| Dermatology (n = 10, 4.8%) | |
| Cardiology (n = 9, 4.3%) | |
| Nephrology (n = 5, 2.4%) | |
| Neurology (n = 5, 2.4%) | |
| Obstetrics and Gynecology (n = 8, 3.9%) | |
| Oncology (n = 9, 3.9%) | |
| Other (n = 88, 42.5%) |
Only specialties with more than 4 participants were shown. Hospitals in China are organized into a 3-tier system: Primary (< 100 beds), Secondary (100–500 beds), or Tertiary institutions (> 500 beds). Moreover, based on size, medical equipment, medical technology, management, service provision, and medical quality, each tier are further divided into 3 levels: A, B and C. The category of other in specialty includes those with less than 5 participants, e.g., Chinese medicine, toxicology, dental, respiratory, molecular diagnostics, rehabilitation, urgent care, pathology, reproduction, otorhinolaryngology, ophthalmology, psychiatry, geriatrics, occupational diseases, endocrinology, pharmacology, public health, and anesthesiology
Fig.1Attitude of physicians towards orphan drugs, medical insurance, and newborn screening
Fig.2Information needs of physicians. a Patient organizations that physicians had heard of. b Information needs of physicians. c The preferred information
source of physicians
Impact of demographic information on rare disease awareness and perspectives
| Rare disease awareness | No factors with statistical significance |
|---|---|
| Does your hospital pay enough attention to rare disease patients? | Career length (AIC = 289.4388, |
| The longer their career length was, the more likely physicians had a positive response | |
| How many rare disease patients have you met? | Gender (AIC = 491.425, |
| Compared to ‘ > 10’, female physicians were more likely to respond ‘none’ | |
| Do you support special legislation for rare diseases? | No factors with statistical significance |
| Do you support special legislation of orphan drugs? | No factors with statistical significance |
| Perspectives on medical insurance | No factors with statistical significance |
| Availability of orphan drugs | No factors with statistical significance |
| Do you need rare disease information? | No factors with statistical significance |
| Affordability of orphan drugs | Hospital (AIC = 570.3079, |
| Physicians from Tertiary A hospitals were more likely to rate the affordability of orphan drugs high | |
| Perspectives on newborn screening (AIC = 442.2492, | Gender (AIC = 442.2492, |
| Female physicians were less likely to believe newborn screening to be important | |
| Does your previous education and training provide sufficient information about rare diseases? | Career length (AIC = 612.4972, |
| The longer the career length was, the less likely they believe previous education to be useful | |
| Do you only want information about rare diseases that can be possibly cured? | Career length (AIC = 290.00995, |
| Physicians with less than 5 years or over 30 years of experience were more likely to respond positively, while physicians with 5–30 years of experience had no preference |
First, in Q4, hospitals were initially categorized into 9, and 72.8% of physicians were in the Tertiary A hospitals. Therefore, hospitals were re-categorized into Tertiary A and non-Tertiary A hospitals to ensure that each category has sufficient samples. Then, age and career length were correlated (R2 = 0.79). To avoid collinearity, only gender, hospital, and career length were analyzed as independent variables. Rare disease awareness and perspectives (listed in column 1) were analyzed as dependent variables. Then, a MLR analysis was performed with R. Akaike information criterion, AIC