| Literature DB >> 31393863 |
Gery P Guy, Tamara M Haegerich, Mary E Evans, Jan L Losby, Randall Young, Christopher M Jones.
Abstract
BACKGROUND: The CDC Guideline for Prescribing Opioids for Chronic Pain recommends considering prescribing naloxone when factors that increase risk for overdose are present (e.g., history of overdose or substance use disorder, opioid dosages ≥50 morphine milligram equivalents per day [high-dose], and concurrent use of benzodiazepines). In light of the high numbers of drug overdose deaths involving opioids, 36% of which in 2017 involved prescription opioids, improving access to naloxone is a public health priority. CDC examined trends and characteristics of naloxone dispensing from retail pharmacies at the national and county levels in the United States.Entities:
Mesh:
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Year: 2019 PMID: 31393863 PMCID: PMC6687198 DOI: 10.15585/mmwr.mm6831e1
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
Estimated annual number of naloxone prescriptions dispensed and rate* of naloxone dispensing from retail pharmacies — United States, 2012–2018
| Characteristic | No. of prescriptions (rate) | ||||||
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| 2012 | 2013 | 2014 | 2015 | 2016 | 2017† | 2018† | |
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| Metropolitan | 938 (0.4) | 1,237 (0.5) | 5,944 (2.2) | 22,953 (8.3) | 119,005 (42.9) | 230,514 (82.4) | 472,848 (169.1) |
| Micropolitan | 223 (0.8) | 255 (0.9) | 416 (1.5) | 2,630 (9.7) | 11,466 (42.1) | 27,893 (102.3) | 56,247 (206.3) |
| Rural | 121 (0.6) | 105 (0.6) | 227 (1.2) | 647 (3.4) | 3,637 (19.3) | 12,303 (65.4) | 27,752 (147.4) |
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| Northeast | 165 (0.3) | 276 (0.5) | 1,568 (2.8) | 7,052 (12.6) | 32,032 (57.1) | 53,259 (95.0) | 96,773 (172.5) |
| Midwest | 359 (0.5) | 359 (0.5) | 1,099 (1.6) | 2,949 (4.3) | 14,984 (22.0) | 39,902 (58.5) | 95,555 (139.9) |
| South | 456 (0.4) | 361 (0.3) | 2,376 (2.0) | 11,384 (9.4) | 58,307 (47.6) | 128,117 (103.7) | 243,277 (195.0) |
| West | 302 (0.4) | 602 (0.8) | 1,545 (2.1) | 4,846 (6.4) | 28,786 (37.6) | 49,432 (63.9) | 121,243 (155.5) |
Source: IQVIA Xponent 2012–2018; data were extracted in 2019. The data reflect approximately 92% of all prescriptions from retail pharmacies and are projected nationally.
* Per 100,000 population.
† Starting with 2017 data, IQVIA changed the frame of measurement from number of prescriptions “dispensed to bin” to number of prescriptions “sold to the patient.” To do this, IQVIA eliminated the effects of voided and reversed prescriptions (prescriptions that were never received by the patient), resulting in a downward shift in naloxone prescriptions dispensed of 19.5% for 2017 and 18.9% for 2018.
§ 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties was used for the creation of the county type variables. https://www.cdc.gov/nchs/data_access/urban_rural.htm. The three classification levels for counties were 1) metropolitan: part of a metropolitan statistical area; 2) micropolitan: part of a micropolitan statistical area (has an urban cluster of ≥10,000 but <50,000 population); and 3) noncore (i.e., rural): not part of a metropolitan or micropolitan statistical area.
¶ Northeast: Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont. Midwest: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin. South: Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West Virginia. West: Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.
High-dose opioid* and naloxone prescriptions dispensed by prescriber specialty, county urbanization level, and U.S. Census region — United States, 2017–2018
| Characteristic | 2017 | 2018 | |||||||
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| High-dose opioid prescriptions | Naloxone prescriptions | Naloxone prescriptions per 100 high-dose opioid prescriptions | High-dose opioid prescriptions | % Change from 2017 | Naloxone prescriptions | % Change from 2017 | Naloxone prescriptions per 100 high-dose opioid prescriptions | % Change from 2017 | |
| No. (%) | No. (%) | No. (%) | No. (%) | ||||||
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| Primary care† | 11,361,552 (29.03) | 63,336 (29.32) | 0.56 | 9,032,155 (29.45) | −21 | 133,612 (29.58) | 111 | 1.48 | 150 |
| Pain medicine§ | 7,113,086 (18.17) | 40,192 (18.61) | 0.57 | 5,995,058 (19.54) | −16 | 76,751 (16.99) | 91 | 1.28 | 117 |
| Surgery | 6,356,264 (16.24) | 3,072 (1.42) | 0.05 | 4,415,915 (14.40) | −31 | 8,252 (1.83) | 169 | 0.19 | 300 |
| Nurse practitioner | 4,104,420 (10.49) | 43,189 (20.00) | 1.05 | 3,606,936 (11.76) | −12 | 83,941 (18.58) | 94 | 2.33 | 109 |
| Physician assistant | 3,813,215 (9.74) | 22,408 (10.38) | 0.59 | 3,063,470 (9.99) | −20 | 39,282 (8.70) | 75 | 1.28 | 117 |
| Other¶ | 1,984,141 (5.07) | 9,878 (4.57) | 0.50 | 1,637,893 (5.34) | −17 | 28,749 (6.36) | 191 | 1.76 | 260 |
| Medical subspecialties** | 1,079,412 (2.76) | 5,821 (2.70) | 0.54 | 843,779 (2.75) | −22 | 20,646 (4.57) | 255 | 2.45 | 380 |
| Dentistry | 1,252,860 (3.20) | 270 (0.13) | 0.02 | 739,038 (2.41) | −41 | 549 (0.12) | 103 | 0.07 | 400 |
| Obstetrics/Gynecology | 848,538 (2.17) | 4,014 (1.86) | 0.47 | 554,218 (1.81) | −35 | 17,286 (3.83) | 331 | 3.12 | 520 |
| Emergency medicine | 920,683 (2.35) | 8,656 (4.01) | 0.94 | 544,236 (1.77) | −41 | 15,312 (3.38) | 77 | 2.81 | 211 |
| Pediatrics | 176,639 (0.45) | 6,068 (2.81) | 3.44 | 144,933 (0.47) | −18 | 15,056 (3.33) | 148 | 10.39 | 206 |
| Psychiatry | 109,084 (0.28) | 7,986 (3.70) | 7.32 | 81,274 (0.26) | −25 | 10,487 (2.32) | 31 | 12.90 | 77 |
| Addiction medicine | 17,632 (0.05) | 1,090 (0.50) | 6.18 | 14,826 (0.05) | −16 | 1,810 (0.40) | 66 | 12.21 | 97 |
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| Metropolitan | 40,506,108 (83.33) | 230,514 (85.15) | 0.57 | 31,922,158 (83.13) | −21 | 472,848 (84.92) | 105 | 1.48 | 150 |
| Micropolitan | 5,230,850 (10.76) | 27,893 (10.30) | 0.53 | 4,156,759 (10.83) | −21 | 56,247 (10.10) | 102 | 1.35 | 180 |
| Rural | 2,870,505 (5.91) | 12,303 (4.54) | 0.43 | 2,320,289 (6.04) | −19 | 27,752 (4.98) | 126 | 1.20 | 200 |
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| Northeast | 7,595,881 (15.63) | 53,259 (19.67) | 0.70 | 6,088,692 (15.86) | −20 | 96,773 (17.38) | 82 | 1.59 | 129 |
| Midwest | 9,489,742 (19.52) | 39,902 (14.74) | 0.42 | 7,219,882 (18.80) | −24 | 95,555 (17.16) | 139 | 1.32 | 225 |
| South | 20,627,124 (42.44) | 128,117 (47.33) | 0.62 | 16,528,879 (43.04) | −20 | 243,277 (43.69) | 90 | 1.47 | 150 |
| West | 10,894,718 (22.41) | 49,432 (18.26) | 0.45 | 8,561,754 (22.30) | −21 | 121,243 (21.77) | 145 | 1.42 | 180 |
Sources: IQVIA Real World Data Longitudinal Prescriptions (LRx) 2017–2018 (prescriber specialty); data were extracted in 2019. IQVIA Xponent 2017–2018 (county urbanization level and U.S. Census region); data were extracted in 2019. The data reflect approximately 92% of all prescriptions from retail pharmacies. Data from Xponent are projected nationally. Number of prescriptions by specialty does not sum to the total because the data are not projected.
* High-dose opioid prescriptions are defined as ≥50 morphine milligram equivalents per day.
† Primary care includes family practice, general practice, and internal medicine.
§ Pain medicine includes anesthesiology, pain medicine, and physical medicine and rehabilitation.
¶ Other includes clinical pharmacology, dermatology, dermatopathology, genetics, hospice and palliative medicine, medical microbiology, naturopathic doctor, neurology, neurophysiology, nuclear medicine, nutrition, occupational medicine, optometry, otology, pathology, pharmacist, podiatry, psychology, radiology, sports medicine, unspecified, and other. Pharmacists are included among other specialties given their limited ability to prescribe opioids.
** Medical subspecialties include allergy, cardiology, cardiovascular, diabetes, endocrinology, gastroenterology, hematology, hepatology, hospitalist, immunology, infectious disease, nephrology, oncology, pulmonary disease, and rheumatology.
†† Includes dentists, endodontics, orthodontics, pedodontics, periodontics, and prosthodontics. Oral and maxillofacial surgery are classified as surgery.
§§ 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties was used for the creation of the county type variables. https://www.cdc.gov/nchs/data_access/urban_rural.htm. The three classification levels for counties were 1) metropolitan: part of a metropolitan statistical area; 2) micropolitan: part of a micropolitan statistical area (has an urban cluster of ≥10,000 but <50,000 population); and 3) noncore (i.e., rural): not part of a metropolitan or micropolitan statistical area.
¶¶ Northeast: Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont. Midwest: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin. South: Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West Virginia. West: Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.
FIGURENaloxone prescriptions, by county — United States, 2018
County characteristics associated with high- and low-level naloxone dispensing rates — United States, 2018
| Characteristic* | High-dispensing counties† | Low-dispensing counties† | ||
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| OR | p-value | OR | p-value | |
| High-dose opioid dispensing rate (2018)§ | 1.13 | <0.001 | 0.84 | <0.001 |
| Drug overdose death rate (2017) | 1.02 | <0.001 | 0.97 | <0.001 |
| Potential buprenorphine treatment capacity | 1.02 | 0.028 | 0.95 | 0.001 |
| Male (%) | 0.96 | 0.175 | 1.02 | 0.519 |
| Non-Hispanic white (%) | 0.99 | 0.009 | 1.01 | 0.019 |
| Disabled (%) | 1.10 | <0.001 | 0.93 | 0.001 |
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| Uninsured | 1.01 | 0.755 | 1.02 | 0.304 |
| Medicare | 0.99 | 0.667 | 1.06 | <0.001 |
| Medicaid | 1.04 | 0.004 | 0.96 | 0.004 |
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| 0.96 | 0.367 | 1.01 | 0.852 |
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| 0.98 | 0.157 | 1.01 | 0.501 |
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| 0.98 | 0.273 | 1.03 | 0.048 |
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| Metropolitan | Referent | N/A | Referent | N/A |
| Micropolitan | 0.70 | 0.011 | 1.12 | 0.465 |
| Rural | 0.46 | <0.001 | 2.61 | <0.001 |
Abbreviations: N/A = not applicable; OR = odds ratio.
Source: IQVIA Xponent 2018; data were extracted in 2019.
* IQVIA Xponent 2018 (high-dose opioid dispensing rate); American Community Survey (percentage male, percentage non-Hispanic white, percentage disabled, insurance status, unemployment rate, percentage without a high school diploma, poverty rate); National Center for Health Statistics (urban/rural status); National Vital Statistics System (drug overdose death rates); and Substance Abuse and Mental Health Services Administration (potential buprenorphine opioid use disorder treatment capacity). Results are from multivariable logistic regression models that include 2881 U.S. counties.
† According to 2018 naloxone dispensing rates, high-dispensing counties are in the top quartile (199.8–3,948.7 per 100,000), and low-dispensing counties are in the bottom quartile (0–44.4 per 100,000).
§ High-dose opioid prescriptions are defined as ≥50 morphine milligram equivalents per day.
¶ 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties was used for the creation of the county type variables. https://www.cdc.gov/nchs/data_access/urban_rural.htm. The three classification levels for counties were 1) metropolitan: part of a metropolitan statistical area; 2) micropolitan: part of a micropolitan statistical area (has an urban cluster of ≥10,000 but <50,000 population); and 3) noncore (i.e., rural): not part of a metropolitan or micropolitan statistical area.