The Incidence and Prevalence Database: Global Incidence, Prevalence, Morbidity, Comorbidity, Cost Data, Symptoms and Many Other Health Issues for over 4,500 Diseases and Procedures
- Language: English
- Published: December 2013
- Region: Global
The Hospital Outpatient Profiles (HOP) provides top drugs prescribed, diagnostics provided, providers seen, visit characteristics, payment source, disposition, and more for over 2,400 diseases.
The Hospital Outpatient Profiles (HOP) track physician office activity for the top diagnoses. Patient utilization information can be accessed conveniently by keyword or by ICD code. Each record includes discharge data, patient characteristics, visit characteristics, payment source, top ten medications prescribed, diagnostic/screening services provided, procedures prescribed, disposition, and more.
Subscriptions include the following services and support:
- Unlimited online access to our data, with IP address or username/password recognition.
- Full customer support for data searches.
- Access to our data analysts. We provide full customer service on database searches, and our experienced analysts can help you understand the data, make suggestions, and perform custom searches, including external resources, for data that is particularly difficult to find.
- On-site and telephone trainings
HOP Source: The NHAMCS
The National Hospital Ambulatory Medical Care Survey (NHAMCS) is a national probability sample survey of visits to hospital outpatient departments (OPDs) and emergency departments (EDs) conducted by the National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention. The survey is a component of the National Health Care Survey, which measures health care utilization across a variety of health care providers. The national estimates produced from these studies describe the utilization of hospital ambulatory medical care services in the U.S. The 1999 NHAMCS included a national probability sample of visits to the EDs and OPDs of non-institutional general and short-stay hospitals, exclusive of Federal, military, and Veterans Administration hospitals, located in the 50 states and the District of Columbia. The 1999 NHAMCS included data collected from December 21, 1998 through December 19, 1999, and consisted of a sample of 489 hospitals.
The sampling frame for the 1999 NHAMCS was compiled from the hospitals listed on the April 1991 SMG Hospital Market Data Base. Hospitals with an average length of stay for all patients of less than 30 days (short-stay) or hospitals whose specialty was general (medical or surgical) or children’s general were eligible for the NHAMCS. Excluded were Federal hospitals, hospital units of institutions, and hospitals with less than six beds staffed for patient use. Within each hospital, either all outpatient clinics and emergency service areas (ESAs) or a sample of such units were selected. Clinics were in scope if ambulatory medical care was provided under the supervision of a physician and under the auspices of the hospital. Clinics were required to be “organized” in the sense that services were offered at established locations and schedules. Clinics where only ancillary services were provided or other settings in which physician services were not typically provided were out of scope. In addition, freestanding clinics were out of scope since they are included in the National Ambulatory Medical Care Survey, and ambulatory surgery centers (whether in hospitals or freestanding) were out of scope since they were to be included in the National Survey of Ambulatory Surgery which was first fielded in 1994.
Data Collection Methods
The Bureau of the Census was the data collection agent for the 1999 NHAMCS. Census Headquarters staff were responsible for overseeing the data collection process, training the Census Regional Office staff, and writing the field manual. Regional Office staff were responsible for training the field representatives and monitoring hospital data collection activities.
About three months prior to the hospital’s assigned reporting period, NCHS sent a personally signed introductory letter from the Director of NCHS to the hospital administrator or chief executive officer of each sampled hospital. About one week after the mailing of the introductory letter, the Census field representative called the hospital administrator to arrange for an appointment to further explain the study and to verify hospital eligibility for the survey.
After the initial visit and the development of the sampling plan, the field representative contacted the hospital coordinator to arrange for induction of the sample ESAs and OPD clinics and for instruction of the hospital staff.
The actual visit sampling and data collection for the NHAMCS was primarily the responsibility of hospital staff. Hospital staff responsible for completing the Patient Record forms were instructed in how to complete each item by the field representatives. Separate instruction booklets for ESAs and OPD clinics were prepared and provided to guide hospital staff in this task. These booklets provided an overview of the survey, sampling instructions, instructions for completing the Patient Record forms, and definitions.
The field representative visited the sampled ESAs and clinics each week during the data collection period and maintained telephone contact with the hospital staff involved in the data collection effort.
Relative Standard Error
The standard error is primarily a measure of the sampling variability that occurs by chance because only a sample is surveyed, rather than the entire universe. The relative standard error (RSE) of an estimate is obtained by dividing the standard error of the estimate by the estimate itself and is expressed as a percentage of the estimate. For the ED, the lowest reliable estimate for visits in the ED is 87,000 visits; for the OPD, it is 114,000. (Numbers lower than these have an RSE greater than 30%.) For the 1999 NHAMCS, approximate RSEs for estimated numbers of patient visits to the ED and OPD, respectively, were reported as follows: 10,000 visits, 86.9%, 94.8%; 20,000 visits, 61.6%, 67.5%; 50,000 visits, 39.1%, 43.5%; 100,000 visits, 27.9%, 31.7%; 200,000 visits, 20.1%, 23.8%; 500,000 visits, 13.3%, 17.3%; 1 million visits, 10.1%, 14.5%; 2 million visits, 8.1%, 12.9%; 5 million visits, 6.5%, 11.8%; 10 million visits, 5.9%, 11.4%; 20 million visits, 5.6%, 11.2%; 50 million visits, 5.4%, 11.1%; 100 million visits, 4.3%, 11.1%; 200 million visits, 4.3%, 11.0%. SHOW LESS READ MORE >