MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02070nam a22003017a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
170918s20172017 xxu||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
2333-3928 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
Ovid MEDLINE(R) |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
|---|
| PMID |
28890908 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Validation Study of a Predictive Algorithm to Evaluate Opioid Use Disorder in a Primary Care Setting. |
| 251 ## - Source |
|---|
| Source |
Health Services Research & Managerial Epidemiology. 4:2333392817717411, 2017 Jan-Dec |
| 252 ## - Abbreviated Source |
|---|
| Abbreviated source |
Health serv. res. manag. epidemiol.. 4:2333392817717411, 2017 Jan-Dec |
| 253 ## - Journal Name |
|---|
| Journal name |
Health services research and managerial epidemiology |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Year |
2017 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Manufacturer |
FY2017 |
| 266 ## - Date added to catalog |
|---|
| Date added to catalog |
2017-09-18 |
| 520 ## - SUMMARY, ETC. |
|---|
| Abstract |
BACKGROUND: Opioid abuse in chronic pain patients is a major public health issue. Primary care providers are frequently the first to prescribe opioids to patients suffering from pain, yet do not always have the time or resources to adequately evaluate the risk of opioid use disorder (OUD). |
| 520 ## - SUMMARY, ETC. |
|---|
| Abstract |
CONCLUSION: The algorithm correctly stratifies primary care patients into low-, moderate-, and high-risk categories to appropriately identify patients in need for additional guidance, monitoring, or treatment changes. |
| 520 ## - SUMMARY, ETC. |
|---|
| Abstract |
METHODS AND RESULTS: In a validation study with 452 participants diagnosed with OUD and 1237 controls, the algorithm successfully categorized patients at high and moderate risk of OUD with 91.8% sensitivity. Regardless of changes in the prevalence of OUD, sensitivity of the algorithm remained >90%. |
| 520 ## - SUMMARY, ETC. |
|---|
| Abstract |
PURPOSE: This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm ("profile") incorporating phenotypic and, more uniquely, genotypic risk factors. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
English |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Institution |
MedStar Good Samaritan Hospital |
| 657 ## - INDEX TERM--FUNCTION |
|---|
| Medline publication type |
Journal Article |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Local Authors |
Sharma, Maneesh |
| 790 ## - Authors |
|---|
| All authors |
Brenton A, Kantorovich S, Lee C, Sharma M, Smith GA, Tedtaotao M |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| DOI |
<a href="https://dx.doi.org/10.1177/2333392817717411">https://dx.doi.org/10.1177/2333392817717411</a> |
| Public note |
https://dx.doi.org/10.1177/2333392817717411 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Journal Article |
| Item type description |
Article |
