Identifying Neck and Back Pain in Administrative Data
نویسندگان
چکیده
منابع مشابه
Identifying couples in administrative data
We develop a new method for identifying married couples in administrative data. Using address and name data from the universe of employment records in Germany we find around 3.3Mio. pairs of individuals who are living at the same location, have a matching last name and are less than 15 years apart in age. We show supporting evidence that around 89 to 94% of these pairs are indeed married couple...
متن کاملBack and neck pain in triathletes.
OBJECT As the sport of triathlon has continued to grow, increasing numbers of triathletes have presented in the neurosurgery clinics with various spinal disorders. This epidemiological study was undertaken to establish the lifetime incidence of neck and back pain, to gauge the prevalence of discogenic pain, and to identify risk factors among triathletes in the Boulder, Colorado, area. METHODS...
متن کاملLow back and neck pain intensity and relationship with disability index among dentists
Background: Non-specific pain of low back and neck has direct impact on quality of life, active days at work, and health care costs. The purpose of this study was to determine the pain intensity and disability index for low back and neck among dentists. Materials and Methods: This cross-sectional study was conducted among 80 dentists (44.6% female and 55.4% male). Dentists pain intensity and...
متن کاملEvaluating the Effectiveness of Care in Neck and Back Pain
BACKGROUND Objective outcome measures reflecting the level of effectiveness of care is a clinical imperative for practitioners dealing with neck and back pain. It is widely recognised that there is no relationship between physical pathology, pain and disability. Traditional measures of function such as range of motion and strength, on their own, are no longer sufficient when assessing treatment...
متن کاملIdentifying and Classifying Children With Chronic Conditions Using Administrative Data
Objective.—To identify and categorize children with chronic health conditions using administrative data. Methods.—The Clinical Risk Groups (CRGs) system is used to classify children, aged 0–18 years, in a mid-sized health plan into mutually exclusive categories and severity groups. Enrollees are categorized into 9 health status groups— healthy, significant acute, and 7 chronic conditions—and ar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Spine
سال: 2012
ISSN: 0362-2436
DOI: 10.1097/brs.0b013e3182376508