Assessment of Opioid Prescribing Patterns in a Large Network of US Community Health Centers, 2009 to 2018.
Assessment of Opioid Prescribing Patterns in a Large Network of US Community Health Centers, 2009 to 2018.
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DOI:
10.1001/jamanetworkopen.2020.13431
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发表时间:
2020-09-01
影响因子:
13.8
通讯作者:
Chamine I
中科院分区:
文献类型:
--
作者:
Muench J;Fankhauser K;Voss RW;Huguet N;Hartung DM;O'Malley J;Bailey SR;Cowburn S;Wright D;Barker G;Ukhanova M;Chamine I
This cross-sectional study evaluates opioid prescribing patterns from 2009 to 2018 in a network of community health centers that frequently treat low-income patients in the US. Are there prescribing patterns for opioid medications in safety-net clinics? In this cross-sectional study of 3 227 459 opioid prescriptions abstracted from electronic health records of patients treated at a network of community health centers between January 1, 2009, and December 31, 2018, the number of prescriptions per 100 primary care patients decreased 73.7% from 110.8 in 2009 to 29.1 in 2018. Other metrics of opioid use decreased to a similar degree. Opioid prescribing in a large network of community health centers decreased from January 1, 2009, to December 31, 2018, which likely reflects a mix of federal, state, and local policies and initiatives directed at reducing harms associated with increased opioid prescribing in the early 2000s. Understanding opioid prescribing patterns in community health centers (CHCs) that disproportionately serve low-income patients may help to guide strategies to reduce opioid-related harms. To assess opioid prescribing patterns between January 1, 2009, and December 31, 2018, in a network of safety-net clinics serving high-risk patients. Cross-sectional study of 3 227 459 opioid prescriptions abstracted from the electronic health records of 2 129 097 unique primary care patients treated from 2009 through 2018 at a network of CHCs that included 449 clinic sites in 17 states. All age groups were included in the analysis. The following measures were described at the population level for each study year: (1) percentage of patients with at least 1 prescription for an opioid by age and sex, (2) number of opioid prescriptions per 100 patients, (3) number of long-acting opioid prescriptions per 100 patients, (4) mean annual morphine milligram equivalents (MMEs) per patient, (5) mean MME per prescription, (6) number of chronic opioid users, and (7) mean of high-dose opioid users. The study population included 2 129 097 patients (1 158 413 women [54.4%]) with a mean (SD) age of 32.2 (21.1) years and a total of 3 227 459 opioid prescriptions. The percentage of patients receiving at least 1 opioid prescription in a calendar year declined 67.4% from 15.9% in 2009 to 5.2% in 2018. Over the 10-year study period, a greater percentage of women received a prescription (13.1%) compared with men (10.9%), and a greater percentage of non-Hispanic White patients (18.1%) received an opioid prescription compared with non-Hispanic Black patients (9.5%), non-Hispanic patients who self-identified as other races (8.0%), and Hispanic patients (6.9%). The number of opioid prescriptions for every 100 patients decreased 73.7% from 110.8 in 2009 to 29.1 in 2018. The number of long-acting opioids for every 100 patients decreased 85.5% during the same period, from 22.0 to 3.2. The MMEs per patient decreased from 1682.7 in 2009 to 243.1 in 2018, a decline of 85.6%. In this cross-sectional study, the opioid prescribing rate in 2009 in the CHC network was higher than national population estimates but began to decline earlier and more precipitously. This finding likely reflects harm mitigation policies and efforts at federal, state, and clinic levels and strong clinical quality improvement strategies within the CHCs.
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DOI:
10.3122/jabfm.2019.06.190087
发表时间:
2019-11-01
影响因子:
2.9
作者:
Huguet, Nathalie;Angier, Heather;DeVoe, Jennifer E.
通讯作者:
DeVoe, Jennifer E.
影响因子:
5.7
作者:
Hadlandsmyth, Katherine;Mosher, Hilary;Lund, Brian C.
通讯作者:
Lund, Brian C.
影响因子:
5.7
作者:
Oronce, Carlos Irwin A.;Fortuna, Robert J.
通讯作者:
Fortuna, Robert J.
影响因子:
39.2
作者:
Bohnert, Amy S. B.;Guy, Gery P., Jr.;Losby, Jan L.
通讯作者:
Losby, Jan L.
DOI:
10.1001/jama.2016.1464
发表时间:
2016-04-19
期刊:
JAMA
影响因子:
--
作者:
Dowell D;Haegerich TM;Chou R
通讯作者:
Chou R