| Literature DB >> 34915910 |
Brandon Del Pozo1, Emily Sightes2, Jeremiah Goulka3, Brad Ray2, Claire A Wood4, Saad Siddiqui4, Leo A Beletsky5.
Abstract
BACKGROUND: Policing shapes the health risks of people who use drugs (PWUD), but little is understood about interventions that can align officer practices with PWUD health. This study deploys the Theory of Planned Behavior (TPB) to understand what influences police intentions to make discretionary referrals to treatment and harm reduction resources rather than arrest on less serious charges.Entities:
Keywords: Harm reduction; Law enforcement; Naloxone; Opioids; Overdose; Police; Stigma; Syringes; Theory of Planned Behavior
Mesh:
Substances:
Year: 2021 PMID: 34915910 PMCID: PMC8675297 DOI: 10.1186/s12954-021-00583-4
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Fig. 1The theory of planned behaviour, Azjen (1991) (creative commons license)
Officers’ perceived control over decisions to arrest and confiscate in drug-related encounters (1–6 Likert scale) (N = 259)
| Enforcement type | Mean (SD) | No control (1) | Lack of control (1–3) | Some control (4–6) | Total Control (6) | |
|---|---|---|---|---|---|---|
| Control over arrest | 4.42 (1.56) | 16 (6%) | 79 (30%) | 179 (69%) | 90 (35%) | |
| Control over confiscation | 3.96 (1.79) | 38 (13%) | 114 (44%) | 145 (56%) | 79 (31%) | |
Approval of treatment as an alternative to arrest and beliefs about addiction and treatment (1–6 Likert scale) (N = 173)
| Mean (SD) | Very likely (1) | Likely (1–3) | Unlikely (4–6) | Not at all likely (6) | |
|---|---|---|---|---|---|
| Supervisors would approve of referrals | 2.64 (1.65) | 60 (35%) | 130 (75%) | 43 (25%) | 18 (10%) |
| Coworkers would approve of referrals | 2.67 (1.58) | 50 (29%) | 131 (76%) | 42 (24%) | 17 (10%) |
| Friends/neighbors would approve of referrals | 2.67 (1.53) | 49 (28%) | 128 (74%) | 45 (26%) | 12 (7%) |
| Referrals to treatment reduce future arrests | 2.83 (1.30) | 29 (17%) | 134 (77%) | 39 (23%) | 10 (6%) |
| Referrals to treatment increase trust in police | 2.69 (1.32) | 36 (21%) | 139 (80%) | 34 (20%) | 8 (5%) |
Norms and attitudes influencing discretionary drug enforcement (4 ranked choices) (N = 259)
| Rank | Factor | Mean position (SD) | 95% Confidence interval |
|---|---|---|---|
| 1 | Seriousness of the offense | 1.38 (0.70) | 1.30–1.47 |
| 2 | If effective alternatives exist | 2.65 (0.97) | 2.53–2.77 |
| 3 | The need for there to be consequences | 2.97 (0.82) | 2.87–3.07 |
| 4 | Arrests should be made when laws are broken | 3.00 (1.08) | 2.86–3.13 |
| 1 | Expectations of supervisor(s) | 1.90 (0.82) | 1.80–2.00 |
| 2 | Expectations of colleagues/peers | 2.61 (0.95) | 2.50–2.73 |
| 3 | Expectations of friends/family | 2.69 (0.98) | 2.54–2.84 |
| 4 | Expectations of community | 2.80 (1.18) | 2.65–2.94 |
| 1 | Attitude of the suspect | 1.63 (0.71) | 1.54–1.72 |
| 2 | Personal sense of right and wrong | 2.04 (1.02) | 1.91–2.16 |
| 3 | Suspect hasn’t learned their lesson yet | 2.72 (0.84) | 2.62–2.82 |
| 4 | Personal factors (overtime/work schedule) | 3.69 (0.69) | 3.53–3.70 |
Correlation matrix (1–6 Likert scale) (N = 173)
| Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | ||||||||
| 2 | .910** | 1 | |||||||
| 3 | .697** | .752** | 1 | ||||||
| 4 | .547** | .556** | .596** | 1 | |||||
| 5 | .484** | .480** | .544** | .725** | 1 | ||||
| 6 | −.122 | −.086* | −.036 | −.091 | −.0788 | 1 | |||
| 7 | .080 | −.119 | −.071 | −.078 | −.026 | .184* | 1 | ||
| 8 | −.203* | −.222* | −.154* | −.138 | −.077 | .307** | .582** | 1 | |
| 9 | −.047 | −.070 | −.043 | −.120 | −.112 | .500** | − 0.050 | .027 | 1 |
| 10 | −.100 | −.070 | −.058 | −.077 | −.126 | .261** | − .036 | .068 | .327** |
| 11 | −.106 | − .098 | −.085 | −.112 | −.175* | .175* | .241* | .333** | .146 |
| 12 | − .178* | − .222* | −.216* | −.261** | −.216* | .163* | .145 | .272** | .238* |
| 13 | .453** | .386** | .345** | .423** | .353** | −.068 | − .065 | − .238* | − .062 |
| 14 | .349** | .299* | .243* | .281** | .164* | −.108 | − .166* | − .226* | − .072 |
| 15 | .297** | .237* | .180* | .259** | .193* | −.106 | − .186* | − .212* | .020 |
| 16 | .168* | .227* | .194* | .206* | .203* | −.099 | − .160* | − .272** | − .085 |
| 17 | .118 | .134 | .116 | .237* | .284** | −.116 | .047 | .043 | − .120 |
*p ≤.05; **p ≤.001 Cronbach's alpha for all variables=0.81
1. My supervisor would approve of me referring a subject who appears to have an opioid addiction to MAT as an alternative to arrest
2. My coworkers would approve of me referring a subject who appears to have an opioid addiction to MAT as an alternative to arrest
3. My friends or neighbors would approve of me referring a subject who appears to have an opioid addiction to MAT as an alternative to arrest
4. Referring subjects who appears to have an opioid addiction to MAT helps reduce future arrests
5. Referring a subject who appears to have an opioid addiction to MAT increases his/her trust in the police, since they are getting the help they need
6. People who become addicted to opioids are to blame for their own condition
7. People who are addicted to opioids won’t hesitate to lie when it benefits their addiction
8. I would worry about a person in recovery for opioid addiction taking care of my family’s children for a few hours
9. When people become addicted to opioids, it’s because they lack the willpower to stop before it’s too late
10. Opioid/heroin users will use more Opioid/heroin if they know they have acesse to naloxone
11. Harm reduction services that distribute items such as syringes and naloxone condone a person’s addiction
12. There should be a limit on the number of times one person receives naloxone to reverse an overdose
13. How often do you provide information or make referrals to drug treatment or naloxone distribution programs?
14. When someone has illicit drugs, how often do you use your discretion not to arrest for drug possession?
15. When someone has a syringe, how often do you use your discretion not to arrest for syringe possession?
16. Everyone at risk of experiencing or witnessing an overdose should be given a supply of naloxone
17. People can successfully overcome an opioid addiction