joint performance measures digital dashboard

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Joint Performance Measures Digital Dashboard Annual Data User Conference September 19, 2013 Fred Klunk, Director of Statistical Reporting and Evidence-Based Program Evaluation Office (PBPP)

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Joint Performance Measures Digital Dashboard. Annual Data User Conference September 19, 2013 Fred Klunk, Director of Statistical Reporting and Evidence-Based Program Evaluation Office (PBPP). Presentation Outline. 1. Earlier PBPP work on joint measures Joint Data Management - PowerPoint PPT Presentation

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Page 1: Joint Performance Measures Digital Dashboard

Joint Performance Measures Digital

DashboardAnnual Data User Conference

September 19, 2013

Fred Klunk, Director of Statistical Reporting and Evidence-Based Program Evaluation Office (PBPP)

Page 2: Joint Performance Measures Digital Dashboard

Presentation Outline

• Earlier PBPP work on joint measures Joint Data Management Joint Performance Measures with DOC

• Formation of digital dashboard Choice of metrics shown Determination of reporting frequency

• Demonstration of PBPP dashboards Monitoring of trends Policy decisions on outcomes

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Page 3: Joint Performance Measures Digital Dashboard

Joint Performance Measures

• Work in 2005 displayed measures important to PBPP and DOC. Example:

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Joint Performance Measures

Two statements on initial goals from August 2005 presentation:•Develop a report for upper-level management that tracks the flow of offenders through the system and tells us how well the process is operating from a macro level•Use the data to identify problems and to make appropriate policy or procedure recommendations

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Joint Performance Measures

• View of joint measures since 2007

Department of Corrections and Board of Probation and Parole Joint Performance Measures (July 2013)JOINT PERFORMANCE MEASURES Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 12 Month Avg

PV Admissions 647 555 611 626 538 634 596 670 651 692 618 730 631

DOC Population 51,508 51,372 51,382 51,260 51,184 51,343 51,292 51,326 51,256 51,367 51,382 51,363 51,336

PV Population 7,427 7,410 7,463 7,438 7,428 7,519 7,508 7,547 7,541 7,648 7,645 7,537 7,509

SIP Admissions 31 47 64 32 44 49 28 52 56 47 52 0 45

RRRI Admissions (lagged one month) 222 191 231 211 209 191 189 243 205 205 0 0 190

Median Time from Treatment Completion Date to Min Date (days) 38 71 47 66 89 80 74 84 61 59 67 72 67

Median Time from Treatment Completion Date to Min Date (Short Mins) (days) -67 -66 -63 -69 -39 -82 -65 -28 -59 -65 -41 -30 -56

TPV Median Time Served (months) 6.8 8.8 9.0 7.4 9.4 7.4 7.4 12.4 10.6 11.6 11.7 11.0 9

TPV Median Time Served (not including TPV Center cases) (months) 12.7 11.9 12.3 13.0 12.6 13.0 12.0 14.2 13.0 13.1 11.7 12.0 13

NRA average detention time (not including TPV Center cases) (months) 2.4 2.5 2.4 2.5 2.3 2.9 3.9 3.4 3.7 2.9 3.2 4.0 3

NRA case count (not including TPV Center cases) 76 73 71 89 90 57 46 66 56 44 65 56 66

BCC Population 4,339 4,293 4,129 4,255 4,313 4,161 4,205 4,261 4,327 4,063 3,838 3,635 4,152

% of BCC Population Parole 40.6% 41.8% 41.5% 44.1% 45.9% 48.4% 56.2% 63.2% 69.1% 72.6% 75.1% 73.3% 56.0%

% of BCC Population Prerelease and SIP 49.9% 48.0% 47.1% 44.8% 42.8% 39.3% 31.7% 26.1% 19.8% 15.4% 12.7% 13.3% 32.6%

% of BCC population Halw ay Back 9.5% 10.1% 11.4% 11.1% 11.3% 12.2% 12.1% 10.7% 11.1% 12.0% 12.2% 13.4% 11.4%

Number of parole cases released from BCC over 120 days (excluding halfw ay back) 74 54 68 54 56 81 75 77 113 75 99 103 77

Parole Rate - Interview Month Outcome (Lagged 60 days for Board Action) 61% 59% 62% 59% 56% 57% 55% 53% 56% 57% 57% 57%

Cases not seen (not interview ed) 926 1,025 977 1,048 1,104 1,048 1,135 1,058 970 910 906 899 1,001

Number of Parole Refusals 763 555 591 875 567 803 844 772 926 749 856 557 738

Reasons for Parole Refusal during month 3,179 2,306 2,524 3,663 2,398 3,572 3,573 3,265 3,895 3,281 3,682 2,349 3,141

1 Institutional Programming Incomplete 444 309 341 512 304 458 450 404 511 442 507 307 416

# w ith only institutional programming as reason 0 2 4 4 1 4 2 2 3 3 4 1 3

2 Institutional Conduct 305 189 210 298 198 255 310 267 297 250 317 203 258

3 Negative recommendation 489 349 370 534 337 492 505 473 524 412 503 319 442

4 Other reason for refusal 1,941 1,459 1,603 2,319 1,559 2,367 2,308 2,121 2,563 2,177 2,355 1,520 2,024

Median days from minimum date to release date - all minimums 35 22 21 24 34 18 36 26 17 18 12 6 22

Median days from minimum date to release date - short minimums only 85 72 84 77 89 71 82 72 56 60 62 55 72

PBPP population 36,311 36,624 36,655 36,961 37,213 37,178 37,144 37,114 37,459 37,820 37,971 38,116 37,214

Total Combined System Population betw een DOC and PBPP (unduplicated) 85,093 85,216 85,247 85,428 85,603 85,630 85,653 85,682 85,946 86,264 86,427 86,498 85,724

PBPP DATA

DOC DATA

Note: All PBPP counts include all state-sentence cases.

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Joint Performance Measures

• The what and the why of dashboards Dashboards are a quick way of presenting topics pictorially and getting the point across to the audience The platform used, iDashboard, is pretty flexible and relatively easy to work with Dashboards are a way to show change over time, deviation from a standard, and indicate areas to focus on In response to the Justice Reinvestment Initiative (JRI)

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Joint Performance Measures

• Key factors when choosing measures

What is measurable? What is meaningful? Know the audience Know the business process What drives decisions? Confidence in data quality

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Page 8: Joint Performance Measures Digital Dashboard

Joint Performance Measures

• Frequency of reporting Time interval and length of time

shown What is the best way to tell the

story… without too much Consider burden on system and

resources

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Joint Performance Measures 8

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Joint Performance Measures

Digital Dashboard Locations

PBPP digital dashboardhttp://isra.hbg.psu.edu/pajsjpm/Home/tabid/2018/Default.aspx

CJAB dashboardhttp://PaCJABDash.net

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Joint Performance Measures

• Trend analysis Use the data to show what’s working and what’s not working Where can scarce resources be targeted?

• Policy determination Use outcomes for internal changes Provide decision-makers with tangible information

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Final Points

Summary•Know your audience, know your processes, know your data•Dashboards can be quite effective… or not•Use technology to your advantage

Questions??

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