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DEVELOPING PERFORMANCE METRICS FOR DRUG ENFORCEMENT

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Presentation on theme: "DEVELOPING PERFORMANCE METRICS FOR DRUG ENFORCEMENT"— Presentation transcript:

1 DEVELOPING PERFORMANCE METRICS FOR DRUG ENFORCEMENT
Ms. Nancy Becker Bennett Director Grants and Community Services Division July 30, 2017

2 DEVELOPING PERFORMANCE METRICS FOR DRUG ENFORCEMENT
The Michigan State Police (MSP) strategic plan has prioritized developing meaningful performance metrics for the multijurisdictional task forces (MJTFs). Michigan’s MJTFs are comprised of 24 teams that focus on drug-related crimes within specific regions in the State, each encompassing 1 or more counties. MJTFs are based on the principles of bringing additional resources from multiple agencies, improving the coordination and communication across agencies, and being able to follow illegal activities across jurisdictional boundaries.

3 DEVELOPING PERFORMANCE METRICS FOR DRUG ENFORCEMENT
Michigan’s MJTF Map

4 DEVELOPING PERFORMANCE METRICS FOR DRUG ENFORCEMENT
In 2014, a new tiering system was initiated along with a scoring guide to transform raw arrest numbers into a point system. A key element of the performance measures is to prioritize “harm” associated with illegal substances. This new system allows for high priority drugs and higher tier arrests to be given more value than low priority drugs and lower tier arrests. These numbers are for drug traffickers, not simply drug users.

5 DEVELOPING PERFORMANCE METRICS TIER THRESHOLD MEASUREMENTS
Tiering Values for Drug Traffickers Tier 1 is the lowest level for drug trafficking charges, while tier 4 is the highest. Tier Threshold Measurements Tier 1 Tier 2 Tier 3 Tier 4 Grams <20 grams 20-50 grams grams >400 grams Dosage units <10 du du du >1000 du Marijuana pounds <10 lbs. 10-50 lbs. lbs. >100 lbs. Licensed Health Care Practitioner (involved in the diversion of prescription drugs) none any quantity > 500 du Lab manufacturing grams <25 grams 25-50 grams

6 DEVELOPING PERFORMANCE METRICS DRUG PRIORITY AND TIER VALUES
Priority can be 3x to 6x base value based on drug type and tier assignment

7 DEVELOPING PERFORMANCE METRICS TIER ASSIGNMENT FACTORS
Tier Value: Determined by drug type, quantity of controlled substance, and other factors which increase the potential for harm.

8 DEVELOPING PERFORMANCE METRICS TIER ASSIGNMENT FACTORS
Other Factors used to Determine Tier Assignment: Operating a Lab to illegally manufacture controlled substances Is a licensed healthcare practitioner involved in the diversion of prescription drugs Exposes children to toxic chemicals used in manufacturing controlled substances Drug arrest where over $5000 in cash is seized Drug arrest which includes State or Federal weapons charges Is charged with a second offense or as a habitual offender Drug arrest which results in the recovery of stolen property Conspires with others to violate the Michigan Public Health Code Was responsible for a drug sale that resulted in an overdose or death

9 DEVELOPING PERFORMANCE METRICS DEFINITIONS
Number of Arrests: Raw/unweighted arrest counts Tiered Arrest Scores: Number of arrest counts x priority value.

10 PERFORMANCE METRICS Number of Arrests 2015-2016
Q1 FY2015 Q2 Q3 Q4 FY2016 % Change 15-16 # of Sworn Personnel FY2015 Arrest Per Officer (FY15) # of Sworn Personnel FY2016 Arrest Per Officer (FY16) Population HUNT 22 7 17 40 23 30 14 63 107 69.84% 5 12.6 15.3 62474 WEMET 26 24 38 83 73 82 68 52 171 275 60.82% 25 6.8 11 511320 STING 32 35 9 49 123 48.19% 11.9 6 20.5 108978 NET 65 115 79 67 139 116 97 95 326 447 37.12% 27 12.1 28 16 MET 2 4 12 25.00% 10 2.4 3 614462 CMET 39 44 62 46 150 179 19.33% 8 18.8 19.9 241591 DRANO 15 13 20 58 15.52% 9.7 11.2 702267 TNT 41 18 45 34 36 124 12.10% 8.3 9.3 216328 TCM 50 129 11.21% 11.6 14.3 465732 SWET 59 31 42 134 135 0.75% 8.4 19 7.1 837096 MAGNET 51 48 166 164 -1.20% 27.7 23.4 111295 TNU 29 21 87 84 -3.45% 17.4 217566 WWN 37 33 141 136 -3.55% 9.5 UPSET 56 54 47 202 189 -6.44% 13.5 11.8 254211 LAWNET 143 132 -7.69% 10.2 533784 BAYANET 74 72 66 75 274 212 -22.63% 12.5 419724 SANE 156 120 -23.08% 31.2 165369 JNET 78 34.62% 8.5 160309 SSCENT 35.00% 17.1 11.1 91160 FANG 60 191 119 -37.70% 13.6 418408 RHINO 85 -45.88% 14.2 7.7 145216 COMET 112 -66.96% 7.4 847383 TOTALS 735 851 664 754 780 799 742 678 3004 2999 0.01% 254 13.3 248 12.9

11 PERFORMANCE METRICS Tiered Arrest Scores 2015-2016
Q1 FY2015 Q2 FY2015 Q3 FY2015 Q4 FY2015 Q1 FY2016 Q2 FY2016 Q3 FY2016 Q4 FY2016 FY2015 FY2016 % Change 15-16 # of Sworn Personnel FY2015 Score Per Officer (FY15) # of Sworn Personnel FY2016 Score Per Officer (FY16) DRANO 328 224 143 50 496 371 264 633 745 1764 136.78% 6 124.2 294 SSCENT 44 79 233 305 440 434 235 438 661 1547 134.04% 7 94.4 221 CMET 297 317 321 338 226 675 984 574 1273 2459 93.17% 8 159.1 9 273.2 WEMET 476 866 973 1187 1228 1367 557 2632 4339 64.86% 25 105.3 173.56 MET 356 176 4 76 157 193 71 487 612 908 48.37% 10 61.2 90.8 HUNT 290 146 372 581 1032 433 318 239 1389 2022 45.57% 5 277.8 288.9 NET 1136 1436 2080 1207 2332 1624 2990 1215 5859 8161 39.29% 27 217 28 291.5 TCM 380 353 790 778 603 1370 403 446 2301 2822 22.64% 230.1 313.6 MAGNET 617 415 312 522 624 220 301 1682 1667 -0.89% 280.3 238.1 SWET 659 698 1018 690 1122 676 726 3065 2958 -3.49% 16 191.6 19 155.7 TNU 751 177 118 330 51 580 171 1192 1132 -5.03% 238.4 283 JNET 59 660 81 228 154 720 1255 1183 -5.74% 209.2 197.2 STING 304 495 222 214 282 164 461 1235 1131 -8.42% 176.4 188.5 BAYANET 1302 911 1006 930 1046 821 884 947 4149 3698 -10.87% 22 188.6 17 217.5 LAWNET 571 504 286 449 550 232 458 306 1810 1546 -14.59% 13 139.2 118.9 UPSET 783 1288 672 873 945 579 840 696 3616 3060 -15.38% 15 241.1 191.3 SANE 737 1505 502 843 641 474 705 1124 3587 2944 -17.93% 717.4 588.8 FANG 793 1595 506 655 811 343 1129 616 3549 2899 -18.32% 14 253.5 207.1 WWN 752 1850 958 629 693 895 913 900 4189 3401 -18.81% 279.3 242.9 TNT 316 1450 727 1539 488 572 1039 552 4032 2651 -34.25% 268.8 176.7 RHINO 216 237 999 339 326 335 337 1791 1048 -41.49% 298.5 174.7 COMET 346 375 631 110 73 313 244 1573 740 -52.96% 11 148 TOTALS 11388 14789 13229 12791 14420 12455 14515 12690 52197 54080 3.61% 254 222.5 248 230.7

12 PERFORMANCE METRICS Number of Arrests 2014-2016
Percent Change in Total Number of Arrests Drug Category FY 14 FY15 FY 16 % Change (FY14 to FY16) Heroin 560 542 610 9% RX Opiates 431 333 282 -35% Methamphetamine 532 411 545 2% Cocaine 589 493 441 -25% Marijuana 1449 1053 1059 -27% RX Stimulants 54 63 90 67% RX Depressants 56 61 44 -21% Synthetic Drugs 156 48 39 -75% *Chart Based on Total Annual Arrests Reported by all MJTF's

13 PERFORMANCE METRICS Tiered Arrest Scores 2014-2016
Percent Change in Tiered Arrest Scores Drug Category FY 14 FY15 FY 16 % Change (FY14 to FY16) Heroin 8640 15642 17556 103% RX Opiates 10932 14628 12018 10% Methamphetamine 4956 4413 6222 26% Cocaine 7260 9273 10110 39% Marijuana 8239 7189 9471 15% RX Stimulants 110 303 451 310% RX Depressants 328 478 260 -21% Synthetic Drugs 1325 271 240 -82% *Chart Based on Total Annual Tiered Arrest Scores Reported by all MJTF's

14 PERFORMANCE METRICS Heroin Arrest Scores 2014-2016

15 PERFORMANCE METRICS Prescription Opiates Arrest Scores 2014-2016

16 PERFORMANCE METRICS Methamphetamine Arrest Scores 2014-2016

17 PERFORMANCE METRICS Marijuana Arrest Scores 2014-2016

18 PERFORMANCE METRICS Cocaine Arrest Scores 2014-2016

19 PERFORMANCE METRICS Tiered Arrest Scores 2014-2016 v. Raw Arrest Scores
Team Tiered Score per 100,000 Residents (FY14) Tiered Score per 100,000 Residents (FY15) Tiered Score per 100,000 Residents (FY16) Population Arrests per 100,000 Residents (FY14) Arrests per 100,000 Residents (FY15) Arrests per 100,000 Residents (FY16) HUNT 62,474 97.64 100.84 171.27 SANE 165,369 MAGNET 232.71 149.15 147.36 111,295 SSCENT 752.52 725.1 91,160 STING 150.49 76.16 112.87 108,978 1511.3 187.58 131.64 85.56 TNT 557.49 216,328 UPSET 50.75 79.46 74.35 254,211 570.39 CMET 80.3 62.09 74.09 241,591 590.03 152.39 94.33 72.56 426.75 526.92 104.1 57.32 64.25 BAYANET 565.13 988.51 881.06 419,724 WEMET 68.85 33.44 53.78 511,320 771.73 514.75 848.59 73.86 65.28 50.51 JNET 164.68 782.86 737.95 160,309 TNU 34.37 39.99 38.61 217,566 RHINO 381.5 721.68 145,216 NET 27.44 26.71 36.62 1,220,657 FANG 854.67 848.22 692.86 418,408 61.13 48.66 31.81 472.61 479.99 688.57 67.49 58.53 31.68 TCM 255.73 494.06 605.93 465,732 45.65 28.44 348.86 547.88 520.3 26.12 24.91 27.7 SWET 289.81 366.15 353.36 837,096 LAWNET 29.97 26.79 24.73 533,784 WWN 345.58 416.47 338.13 1,005,837 20.37 16.01 16.13 387.8 339.09 289.63 12.03 14.02 13.52 DRANO 180.56 106.09 251.19 702,267 10.68 8.26 9.54 MET 275.69 99.6 147.77 614,462 6.51 3.91 4.88 COMET 288.18 185.63 87.33 847,383 23.25 13.22 4.37 AVERAGE 587.66 862.63 902.77 425,053 71.45 53.47 53.39

20 DEVELOPING PERFORMANCE METRICS GENERAL FINDINGS
Collecting statistics on arrests per 100,000 residents and arrests per sworn team member leveled the playing field and brought each teams productivity into perspective. Weighting arrests by tiers helps us recognize teams that are targeting the prioritized offenses. This data has been a factor for rewarding high performing drug teams with extra funding for their teams. No teams have lost funding due to their performance. We understand that complex investigations may take months, and may not produce measurable results within a reporting period.

21 DEVELOPING PERFORMANCE METRICS DETAILED FINDINGS ON ARRESTS
From 2014 to 2015, there was a 3% decrease in the number of heroin arrests, and a 13% increase from 2015 to 2016. Prescription opiate arrests decreased 23% from 2014 to 2015, and 51% from 2015 to 2016. Methamphetamine arrests decreased 23% from 2014 to 2015, and increased 33% from 2015 to 2016. Cocaine arrests decreased 16% from 2014 to 2015, and 11% from 2015 to 2016. Marijuana arrests decreased 27% from 2014 to 2015, and increased by 1% from 2015 to 2016. Prescription stimulant arrests increased during both time periods; 12% from 2014 to 2015 and 43% from 2015 to 2016. From 2014 to 2015, there was a 9% increase in prescription depressants arrests, but a 28% decrease from 2015 to 2016. There was a 69% decrease in synthetic drug arrests from 2014 to 2015, and a 19% decrease from 2015 to 2016.

22 DEVELOPING PERFORMANCE METRICS RESEARCH PARTNER
Kylei Brown B.A. Amanda Nguyen, M.S. Edmund F. McGarrell, Ph. D. Michigan Justice Statistics Center Michigan State University In cooperation with the Michigan State Police, Grants and Community Services Division

23 DEVELOPING PERFORMANCE METRICS FOR DRUG ENFORCEMENT
Questions? Ms. Nancy Becker Bennett Division Director Michigan State Police Grants and Community Services Division

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