Health Technology Assessment Database
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Detailed Information: Health Technology Assessment Database
(INAHTA)
Technology Assessments
The NHS-CRD-HTA (INAHTA; Technology Assessments) database contains information on Health Technology Assessment (evaluation of medical procedures and technologies in health care). It is developed in cooperation with the international network of public HTA Agencies (International Network of Agencies for Health Technology Assessment - INAHTA). The database comprises information on current up-to-date HTA projects and on published HTA reports of the INAHTA-members as well as other HTA facilities. The Abstracts have a describing and not any evaluating character. There are most different documents which have been registered in the database. That means except from HTA reports the database contains as well as studies, survey results, economic appraisals, systematic reviews.
Content navigation
- Database Content: Subject Coverage | Type | Language | Sources | Superbases
- Database Resources: File Size | File Data | Update Cycle
- Query: User Aids | Special Notes | Vocabulary | Searchable Data Fields | Data Fields, alphabetical | Output of Search Results | Sample Search(es) | Sample Record(s)
- Contact: Producer | Contact Person
- Appendix: Appendix
Database Content
| Subject Coverage | Evaluation of medical procedures, medicine, health economics, social and ethical aspects. |
|---|---|
| Type | Literature database |
| Language | English |
| Sources | Voluntary data input by HTA facilities |
| Superbases | There are predefined databases groups (superbase) for several subjects. The database Health Technology Assessment Database is part of the following superbases: |
Database Resources
| File Size | 11,176 (Status 06/2012) |
|---|---|
| File Data |
You will find the number of database records in the current update status. |
| Update Cycle | Quarterly |
Query
User Aids
Documentation of the Centre for Reviews and Dissemination: http://www.york.ac.uk/inst/crd/
Special Notes
With every update the whole file is reloaded. Therefore standing orders (SDI) are not possible.
Vocabulary
Controlled Terms (CT)
Language of vocabulary: English
Searchable Data Fields
The following document sections are considered with the free text search (FT):
Abstract (AB)
Author's Objective (AO)
Type of Intervention (TOI)
Study Design (STU)
Sources Searched (SRCS)
Cost Information (COST)
Result (RES)
Methodology (METH)
Author's Conclusions (AC)
Controlled Term (CT)
Status (STA)
Title (TI)
Search language(s) in the basic index: English.
Data Fields, alphabetical
Explanation:
D = DISPLAY F = FIND S = SHOW
1 : front-end-masking recommended
2 : searchable word by word with field label
3 : searchable only selectively
(F): field is searchable
only via basic index
| Command | Field name | Examples | Special features |
|---|---|---|---|
| (F) S | AB Abstract | F heart/AB | The abstract field is available in 54 % and consists of a summary of different fields (AC, AO, COST, METH, RES, SRCS, STU, TOI). All fields of this group can be requested individually as well as with FIND. |
| (F) S | AC Author Conclusion | F positive/AC | Recommendations of the authors. |
| D | AI Abstract Indicator | F...AND AI= ? D AI= ? F AI= abstract online |
Searches for documents with an online abstract. |
| (F) S | AO Author Objective | F aims/AO | Question of the author. |
| D F S | AU Author | F AU=nhs? | |
| D2 F2 S | CA Corporate Author | F CA=dahta | |
| D F | CC Controlled Code | F CC= a01.378.610.450 | Compatible with MESH. See CT as well. |
| S | CNOTE Copyright Notice | ||
| (F) S | COST Cost Information | F us/COST | Information on charges is given here, if available. |
| D2 F2 S | CS Coporate Source | F CS=dahta | Information on HTA facilities. |
| D F S | CT Controlled Term | F CT=ibuprofen F assessment?/CT D CT=ibupro? |
Compatible with MESH. |
| F | /QF= ... Qualifier | F CT=breast neoplasms/QF=pa | Search for Controlled Terms together with a Qualifier. |
| D QF=a? | List all QF. | ||
| D F S | CY Country of Publication | F CY=germany | Country in which the information was provided. |
| D F S | DOI Digital Object Identifier | D DOI=? F DOI="10.1002/14651858" |
Must be set in quotation marks. A DOI is a unique and persistent identification code for digital objects. |
| D F S | LA Language | F... AND LA=engl? D LA=? |
Language spellings are very different, therefore an end masking is recommended when searching. |
| (F) S | METH; Methodology | F review/METH | Kind of investigation conducted. |
| D F S | ND Number of Document | F ND=HTA-31995000001 | |
| S | PAGE Page | Part of SO. | |
| D2 F2 S | PU Publishing Data | F PU=nice | City and name of the publishing institution. |
| D F S | PY Publication Year | F... AND PY>=2002 | Year of the publication. Part of SO. |
| (F) S | RES Result | F positive/RES | Results of the work. |
| S | SO Source | Consisting of VOL, PAGE and PY. | |
| (F) S | SRCS Sources Searched | F medline/SRCS | Used data sources in the information. |
| D F S | STA Status | F STA=inahta? F health technology assessment/STA |
References to the current status of the information |
| (F) S | STU Study Design | F appraisal/STUD | Kind of information. |
| (F) S | TI Title | F asthma/TI | |
| (F) S | TOI Type of Intervention | F treatment/TOI | Names the area in which the procedure is used. |
| S | URL; Internet Address | Internet address of the HTA facility and/or of the document. | |
| S | VOL Volume | Part of SO. |
Output of Search Results
By means of the commands: SHOW (S) / MAIL / SDI.
Corresponding to the copyright rules use the parameter USE=DLOAD if necessary.
You may ask for all data fields, single data fields, or sets of data fields. If the output fields are not specified explicitly, the standard field set (F=STD) is used in all output commands.
Output field sets:
| Command | Field Set | Associated Datafields |
|---|---|---|
| F=STD | standard | same as F=ALL |
| F=ALL | all fields | ND, AU, CA, TI, SO, PU, LA, CY, CS, CT, STA, CNOTE, AB, AO, TOI, STU, SRCS, METH, RES, COST, AC, URL |
| F=BIB | bibliographic fields | ND, AU, CA, TI, SO, PU, LA, CY, CS |
| F=DES | descriptors | CT |
Sample Search(es)
Subject: Review articles on fluorodeoxyglucose positron emission tomography (FDG-PET)
1. Search via DIMDI SmartSearch
2. Search via DIMDI ClassicSearch
Profile table:
| Parameter | Counter | Number of Hits | Query |
|---|---|---|---|
| C= | 1 | 8908 | INAHTA |
| S= | 2 | 30 | FDG-PET OR FLUORODEOXYGLUCOSE POSITRON EMISSION TOMOGRAPH### |
| 3 | 3302 | REVIEW/STU | |
| 4 | 22 | 2 AND 3 |
Sample Record(s)
DIMDI: Health Technology Assessment Database (INAHTA) © 2010 University of York. Published by John Wiley & Sons, Ltd.
| ND: | HTA-32006000201 |
| AU: | Myers ER; Bastian LA; Havrilesky LJ; Kulasingam SL; Terplan MS; Cline KE; Gray RN; McCrory DC |
| TI: | Management of adnexal mass (Structured abstract) |
| SO: | Rockville: Agency for Healthcare Research and Quality (AHRQ); p. 530; p. . Agency for Healthcare Research and Quality (AHRQ). /2006/ |
| LA: | English |
| CS: | Center for Outcomes and Evidence Technology Assessment Program, 540 Gaither Road, Rockville, MD 20850, USA. Tel: +1 301 427 1610; Fax: +1 301 427 1639; |
| CT: | Adnexal Diseases/diagnosis; Adnexal Diseases/ultrasonography; Adnexal Diseases/radiography |
| STA: | This is a bibliographic record of a published health technology assessment from a member of INAHTA. No evaluation of the quality of this assessment has been made for the HTA database. |
| AO: | The aim of this report is to assess diagnostic strategies for distinguishing benign from malignant adnexal masses. |
| TOI: | Diagnosis; treatment |
| STU: | Systematic review |
| METH: | The major diagnostic methods evaluated were bimanual pelvic examination, ultrasound (morphology and Doppler velocimetry), magnetic resonance imaging (MRI), computed tomography (CT), fluorodeoxyglucose F18 positron emission tomography (FDG-PET), CA-125, and scoring systems that incorporated multiple clinical, laboratory, and radiologic findings. Meta-analysis using a random-effects model was used to estimate pooled sensitivity and specificity for discriminating benign from malignant. We reviewed evidence for followup strategies for masses considered benign, and for adverse outcomes of diagnostic surgery. We also reviewed published models of the natural history of ovarian cancer and compared the impact of assumptions about natural history on outcomes. |
| RES: | The majority of studies did not describe whether patients presented with asymptomatic masses detected through screening or with symptoms. Prevalence of malignant masses in a U.S. postmenopausal screening population was approximately 0.1 percent, while benign masses were found in 0.8 to 1.8 percent of women. Pooled (a) sensitivity and (b) specificity were: bimanual exam (a) 0.45, (b) 0.90; ultrasound morphology scores (a) 0.86 to 0.91, (b) 0.68 to 0.83; Doppler resistive index (a) 0.72, (b) 0.90; pulsatility index (a) 0.80, (b) 0.73; maximum systolic velocity (a) 0.74, (b) 0.81; presence of vessels (a) 0.88, (b) 0.78; combined morphology and Doppler (a) 0.86, (b) 0.91; MRI (a) 0.91, (b) 0.88; CT (a) 0.90, (b) 0.75; FDG-PET (a) 0.67, (b) 0.79; and CA-125 (a) 0.78, (b) 0.78. Both sensitivity and specificity of CA-125 were better in postmenopausal than in premenopausal women. In modeled outcomes, combinations of imaging and CA-125 were both more sensitive and more specific than either alone. Performance of scoring systems in validation studies was consistently worse than in development studies; the highest demonstrated specificity observed was 0.91, with a concurrent sensitivity of 0.74. Evidence on followup strategies was sparse, although one large study provided good evidence for safely following unilocular cysts less than 10 cm in diameter. Overall complication rates in studies of surgically managed adnexal masses were low, but important clinical information was not reported. |
| AC: | All diagnostic modalities showed trade-offs between sensitivity and specificity, but the available literature does not provide sufficient detail on relevant characteristics of study populations to allow confident estimation of the results of alternative diagnostic strategies. Although modeling studies may prove useful in evaluating diagnostic algorithms, further work is needed to explore the implications of uncertainty about the natural history of ovarian cancer. |
| URL: | http://www.ahrq.gov/clinic/tp/adnextp.htm |
 full text |
|
| *** End of SHOW *** |
Contact
Producer
- Centre for Reviews and Dissemination (CRD)
University of York
York YO10 5DD
Great Britain
Phone: +44 1904 321040
Fax: +44 1904 321041 - International Network of Agencies for Health Technology Assessment (INAHTA)
c/o SBU P.O. Box 5650
114 86 Stockholm
Sweden
Phone: +46 8 412 32 00
Fax: +46 8 411 32 60
Contact Person
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Appendix
Appendix
List of Qualifiers
Abnormalities
Administration & Dosage
Adverse Effects
Agonists
Analogs & Derivatives
Analysis
Anatomy & Histology
Antagonists & Inhibitors
Biosynthesis
Blood
Blood Supply
Cerebrospinal Fluid
Chemical Synthesis
Chemically Induced
Chemistry
Classification
Clinical Trial
Complication
Complications
Congenital
Contraindications
Cytology
Deficiency
Diagnosis
Diagnostic Use
Diet Therapy
Drug Effects
Drug Therapy
Economics
Education
Embryology
Enzymology
Epidemilogy
Ethics
Ethnology
Etiology
Genetics
Growth & Development
History
Immunology
Injuries
Innervation
Instrumentation
Isolation & Purification
Legislation & Jurisprudence
Manpower
Metabolism
Mehods
Microbiology
Mortality
Nursing
Organisation & Administration
Parasitology
Pathogenicity
Pathology
Pharmacokinetics
Pharmacology
Physiology
Physiopathology
Poisoning
Prevention
Prevention & Control
Psychology
Radiation Effects
Radiography
Radionuclide Imaging
Radiotherapy
Rehabilitation
Secondary
Secretion
Standards
Statistics & Numerical Data
Supply & Distribution
Surgery
Therapeutic Use
Therapy
Toxicity
Transmission
Transplantation
Trends
Ultrasonography
Ultrastructure
Urine
Utilization
Veterinary
Virology
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