| Literature DB >> 31899526 |
Austin S Kilaru1,2,3,4, Jeanmarie Perrone3, David Kelley5, Sari Siegel6, Su Fen Lubitz3, Nandita Mitra7, Zachary F Meisel3,4.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 31899526 PMCID: PMC6991234 DOI: 10.1001/jamanetworkopen.2019.18511
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Characteristics of Pennsylvania Hospitals by Level of Participation in Opioid Hospital Quality Improvement Program
| Characteristic | Hospitals | |||
|---|---|---|---|---|
| All (N = 155) | Fully Participating (n = 79) | Partially Participating (n = 45) | Nonparticipating (n = 31) | |
| Bed size, mean (SD), No. | 208 (198) | 250 (242) | 187 (142) | 129 (86) |
| Location, No. (%) | ||||
| Urban | 114 (74) | 59 (75) | 36 (80) | 19 (61) |
| Rural | 41 (26) | 20 (25) | 9 (20) | 12 (39) |
| Teaching status, No. (%) | ||||
| Teaching | 86 (55) | 49 (62) | 23 (51) | 14 (45) |
| Nonteaching | 69 (45) | 30 (38) | 22 (49) | 17 (55) |
| Tax status | ||||
| Not for profit | 145 (94) | 74 (94) | 45 (100) | 26 (84) |
| For profit | 10 (6) | 5 (6) | 0 | 5 (16) |
| Health system affiliation, No. (%) | ||||
| Independent | 28 (18) | 9 (11) | 9 (20) | 10 (32) |
| ≥2 Hospitals | 127 (82) | 70 (89) | 36 (80) | 21 (68) |
| State region, No. (%) | ||||
| Southeastern | 47 (30) | 21 (26) | 18 (40) | 8 (26) |
| Northeastern | 22 (14) | 3 (4) | 9 (20) | 10 (32) |
| Central | 33 (21) | 19 (24) | 11 (24) | 3 (10) |
| Western | 53 (34) | 36 (46) | 7 (16) | 10 (32) |
| State-designated Opioid Center of Excellence located within county, No. (%) | 105 (68) | 58 (73) | 29 (64) | 18 (58) |
| Licensed OUD treatment facilities in county, mean (SD), No. | 32 (36) | 42 (42) | 24 (24) | 19 (25) |
| Rate of overdose ED visits in 2018, mean (SD), No./10 000 county residents | 9.6 (3.9) | 10.3 (4.4) | 9.0 (3.3) | 8.4 (3.3) |
| Dispensed prescriptions of buprenorphine in 2018, mean (SD), No./1000 county residents | 25.3 (15.4) | 26.5 (14.3) | 23.1 (16.1) | 25.5 (17.4) |
| County residents living in poverty in 2018, mean (SD), % | 12.8 (5.1) | 14.3 (5.3) | 10.8 (4.6) | 12.2 (3.9) |
Abbreviations: ED, emergency department; OUD, opioid use disorder.
Fully participating hospitals attested to all 4 treatment pathways, partially participating hospitals attested to fewer than 4 pathways, and nonparticipating hospitals did not attest to any treatment pathways.
Pennsylvania Centers of Excellence for Opioid Use Disorder are state-designated specialized treatment centers that provide comprehensive care for patients with OUD.
Differences in Characteristics Between 79 Fully Participating Hospitals and 76 Partially and Nonparticipating Hospitals
| Characteristic | Adjusted Risk Difference, % (95% CI) | Odds Ratio (95% CI) | |
|---|---|---|---|
| Bed size, actual No. | 5 (0.2 to 10) | 1.4 (1.0 to 1.9) | .04 |
| Urban location | −2 (−17 to 20) | 0.9 (0.3 to 2.7) | .87 |
| Teaching hospital | −3 (−20 to 13) | 0.8 (0.3 to 2.2) | .71 |
| Independent hospital | −22 (−42 to −4) | 0.3 (0.09 to 0.9) | .02 |
| State region | |||
| Southeastern | 1 [Reference] | NA | NA |
| Northeastern | −34 (−56 to −12) | 0.1 (0.03 to 0.7) | .01 |
| Central | 27 (12 to 43) | 5.7 (1.8 to 18.0) | .004 |
| Western | 38 (22 to 53) | 9.4 (3.1 to 28.8) | <.001 |
| Rate of overdose ED visits in Q3 2018, No./10 000 county residents | 5 (2 to 8) | 1.2 (1.1 to 1.4) | .006 |
| Opioid Center of Excellence located within county | 5 (−12 to 21) | 1.3 (0.5 to 3.5) | .59 |
Abbreviations: ED, emergency department; NA, not applicable; Q3, third quarter.
Differences in outcomes were estimated using a multivariable logistic regression model with robust SEs. A multivariable logistic regression model that accounted for correlated data by health system using generalized estimating equations with an independent correlation structure with robust SEs demonstrated identical odds ratios and equivalent statistical significance.
For continuous covariates, the adjusted risk difference shown in this table is the difference between the predicted probability of the outcome at the mean value of the covariate for fully participating hospitals and the predicted probability at the mean value for partial and nonparticipating hospitals.