| Literature DB >> 35838666 |
Helen Newton1, Tamara Beetham1, Susan H Busch1.
Abstract
Importance: The mental health crisis lifeline 988 will begin operating July 16, 2022. In the absence of appropriately trained first responders, including crisis intervention teams (CITs), persons experiencing behavioral health crises face the risk of incarceration and even death. Objective: To assess county-level access to CIT in 2015 and 2020 and its association with area characteristics and state policies in 2020. Design, Setting, and Participants: This cross-sectional study included 10 430 facilities from the 2015 National Directory of Mental Health Treatment Facilities and 10 591 facilities from the 2020 National Directory of Mental Health Treatment Facilities, attributed to 3142 US counties. Exposures: Area measures included need (suicide, drug-related overdose mortality), rurality, and demographic characteristics. State-level policies included 5 Medicaid policies enacted prior to 2020 and 2 recent policies intended to assist implementation of the 988 lifeline. Main Outcomes and Measures: Whether there was at least 1 facility that reported offering a CIT that handled acute mental health issues at the facility or off-site for each county in 2015 and, separately, in 2020.Entities:
Mesh:
Year: 2022 PMID: 35838666 PMCID: PMC9287760 DOI: 10.1001/jamanetworkopen.2022.24803
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Figure 1. Changes in County-Level Access to Crisis Intervention Teams (CITs)
The 2015 and 2020 National Directory of Mental Health Treatment Facilities included information from 10 430 and 10 591 facilities, respectively. This figure uses responses from the 5050 and 5238 facilities listed in 2015 and 2020 National Mental Health Treatment Directories who responded yes to the question “Does this facility offer a crisis intervention team that handles acute mental health issues at this facility and/or off-site?” For each US county, we determined whether there was at least 1 facility that answered yes to this question. Half of counties had no facility offering CIT: 1537 of 3141 (49%) in 2015 and 1512 (48%) in 2020. Data from 2015 and 2020 was used to categorize counties into 1 of 4 categories: had no access to CIT in either year, lost access, gained access, and had access in both years. The share of the 2020 population that resided in each category of counties was then calculated.
County Characteristics and State Policies of Counties With and Without Access to CIT Services, 2020
| Characteristic | Counties with access to CIT, No. (%) (N = 3142) | ||
|---|---|---|---|
| No | Yes | ||
| Counties | 1512 (48) | 1630 (52) | NA |
| County population in 2020 | 40 534 438 (12) | 288 949 685 (88) | NA |
| Top quartile of residents >55 y | 502 (33) | 283 (17) | <.001 |
| Top quartile of demographic characteristics | |||
| Uninsured | 500 (33) | 285 (17) | <.001 |
| Unemployed | 348 (23) | 437 (27) | .09 |
| Median household income | 413 (27) | 372 (23) | .17 |
| Top quartile of race and ethnicity | |||
| American Indian or Alaskan Native | 402 (27) | 383 (23) | .36 |
| Asian | 182 (12) | 603 (37) | <.001 |
| Black | 362 (24) | 423 (26) | .64 |
| Hispanic | 338 (22) | 447 (27) | .41 |
| Native Hawaiian or Pacific Islander | 318 (21) | 467 (29) | .01 |
| White | 429 (28) | 356 (22) | .11 |
| Top quartile of residential segregation | 237 (19) | 460 (29) | .002 |
| Top quartile of behavioral health mortality in 2020 | |||
| Drug overdose deaths per 100 000 population | 134 (26) | 296 (25) | .72 |
| Suicide deaths per 100 000 population | 282 (31) | 312 (21) | <.001 |
| Rurality | |||
| Metropolitan (urban) | 384 (25) | 782 (48) | <.001 |
| Micropolitan (rural) | 628 (42) | 704 (43) | .61 |
| Frontier (rural) | 500 (33) | 144 (9) | <.001 |
| State Medicaid policies enacted before 2020 | |||
| Expanded Medicaid | 788 (52) | 1102 (68) | .01 |
| Any Behavioral Health Section 1115 waiver | 720 (48) | 968 (59) | .05 |
| IMD payment exclusion | |||
| Substance use disorder | 646 (43) | 837 (51) | .15 |
| Mental health | 34 (2) | 73 (4) | .02 |
| Eligibility expansions | 61 (4) | 131 (8) | .19 |
| Delivery system reforms | 64 (4) | 76 (5) | .83 |
| Community-based benefit expansions | 350 (23) | 491 (30) | .15 |
| 2015 Certified Community Behavioral Health Clinic Demonstration Planning Grant State | 720 (48) | 855 (52) | .47 |
| Top quartile of per-capita SAMHSA funding related to suicide prevention, crisis intervention, or diversion | 335 (22) | 405 (25) | .58 |
| Top quartile of IMD DSH payments | 369 (24) | 372 (23) | .79 |
| State Medicaid policies enacted after 2020 | |||
| American Rescue Plan CIT development planning grant state | 420 (28) | 617 (38) | .06 |
| 988 legislation passed or pending | 517 (34) | 684 (42) | .27 |
Abbreviations: CIT, crisis intervention team; DSH, disproportionate share hospital; IMD, Institutions of Mental Disease.
Three area characteristics have missing observations (measures of drug-related overdose deaths, suicide mortality, and residential segregation); percentages reported in this table reflect the percentage among observations with nonmissing values (1420, 763, and 351 counties with missing values, respectively).
P values are from Wald χ2 tests that adjusted SEs to account for correlation of SEs by state.
Figure 2. Adjusted Associations Between Area Characteristics and County-Level Access to Crisis Intervention Teams (CITs) in 2020
This figure shows the change in estimated probability and 95% CIs from a logistic regression model estimating county-level CIT in 2020 using all covariates listed in the Table, excluding measures of need. Logistic regression models were used to compute the adjusted associations between area and state Medicaid policy characteristics and adjusted SEs to account for correlation within state. All measures except rurality are binary and represent counties in the top quartile of that measure.
Figure 3. Adjusted Associations Between State Medicaid Policies and County-Level Access to Crisis Intervention Teams (CITs) in 2020
This figure shows the change in estimated probability and CIs from a logistic regression model estimating county-level CIT access in 2020 using all covariates listed in the Table, excluding measures of need. Logistic regression models were used to compute the adjusted associations between area and state Medicaid policy characteristics and adjusted SEs to account for correlation within state. All measures are binary; federal grants and payments categories represent the counties in the top quartile of that category. CCBHC indicates Certified Community Behavioral Health Clinic; DSH, disproportionate share hospital; IMD, institutes of mental disease; and SAMHSA, Substance Abuse and Mental Health Services Administration.